fix: enable drag-drop without prior save + rename phase32/33 experiments#40
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tbitcs wants to merge 163 commits into
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fix: enable drag-drop without prior save + rename phase32/33 experiments#40tbitcs wants to merge 163 commits into
tbitcs wants to merge 163 commits into
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Co-Authored-By: Oz <oz-agent@warp.dev>
…aph split (413+192), Semitic specificity test, Why This Might Be Wrong section, dashboard ICIT metrics, review packet PDF, GitHub issues #23-#27 closed - Manuscript: §2.1 ICIT reframe (713 signs, corrected inscriptions, declined access) - Manuscript: §3.1 allograph split (413 independent + 192 inferred) - Manuscript: §3.7a Firestore independent validation (+0.484 log-units/token) - Manuscript: §3.17 Semitic specificity test (78 signs → 3 modals) + frequency-rank caveat - Manuscript: §4.5 Why This Might Be Wrong (overfitting, 100% suspicion, no expert review) - Dashboard: ICIT 2026 coverage bar (605/713 = 85%), backend API, DeciphermentPanel - README: 413+192 split, 3 corpora, Semitic specificity - GitHub repo description updated - Review packet PDF built for Dravidianist outreach - Discriminative LM test script + results Co-Authored-By: Oz <oz-agent@warp.dev>
Critical finding: unconstrained SA produces identical convergence regardless of LM (373-384 modals, 0.234-0.240 consistency). The SA cannot discriminate language families without anchored signs. The 83.7% consistency in the paper comes from anchored SA (413+ pinned signs), not raw bigram scoring. The Dravidian evidence is in the anchor-building process (iconographic, DEDR, TB concordance), not in the SA itself. Co-Authored-By: Oz <oz-agent@warp.dev>
…LM finding + main branch update Co-Authored-By: Oz <oz-agent@warp.dev>
- §4.5: add competing LM finding (unconstrained SA non-discriminative) - H11 fix: bounded _status_poller with 24h deadline - setup-os.cmd: reconcile HKCU Run → scheduled task only - Phase 295 bulk mine: 3,359 papers, 92 STRONG (May 2026 focus) - Gitignore: add glossa-corpus/sources/*.pdf, bulk mine JSONs, frontend DB - Remove ~90MB tracked binaries (5 source PDFs + glossa.db) - Remove 5 old bulk mine JSONs from tracking (regenerable) - Foundation check: 38 passed, 0 failed - Evidence sweep verified: 96 new candidates Co-Authored-By: Oz <oz-agent@warp.dev>
- H23 audit: 358→369 registered graph nodes (phases 237-246 + 295-297 added) - Phase 296: 92 STRONG papers cross-referenced (6 confirmations, 9 contradictions, 16 methodological, 32 novel) - Phase 297: Full gap analysis — 605/605 HIGH (3.5% allograph), 76% phonological coverage - Blockers identified: specialist review (HIGH), bilingual text (FUNDAMENTAL), ICIT gap (MEDIUM) - Status: COMPUTATIONALLY COMPLETE — awaiting specialist review + peer review Co-Authored-By: Oz <oz-agent@warp.dev>
- Munda SA FEASIBLE: 208 relevant papers, 95 with corpus/wordlist data Key source: Jenny & Sidwell 2019 (Austroasiatic Syntax) - Bilingual inscription: NO NEW DISCOVERY (6 mentions, all false positives) - Archaeological discoveries 2024+: 11 papers (Keezhadi/Rakhigarhi continuations) - 3-round exhaustive mining across 5 APIs with expanded queries Co-Authored-By: Oz <oz-agent@warp.dev>
- Phase 299: Proto-Munda LM built (185 words, 23 chars, 132 bigrams, H1=4.0) - Phase 300: Competing SA — Munda 40% vs Dravidian 35% vs Hebrew 70% vs Uniform 27% → UNCONSTRAINED SA NON-DISCRIMINATIVE (confirms Phase 295 finding) → Hebrew dominates due to alphabet-size bias, not language fit - Phase 301: 2 confirmed + 71 potential Munda substrate matches - Phase 302: Archaeological context 58.3% — guild-identity model CONSISTENT - Dashboard: new Munda SA + archaeology badges, ICIT 713 metrics live - Frontend rebuilt (index-znWnyKiI.js), backend restarted - All metrics verified on live /api/v1/dashboard/decipherment endpoint Co-Authored-By: Oz <oz-agent@warp.dev>
Co-Authored-By: Oz <oz-agent@warp.dev>
- Progress bar: dark text (#111827) with white text-shadow for contrast on all bar colors - Bottom panel: 'Logs (BE+FE)' → 'Logs' Co-Authored-By: Oz <oz-agent@warp.dev>
…erence + DEDR - Phase 303: DRAVIDIAN_PREFERRED — 58.7% anchored bigram hit rate vs Munda 34.5% With 605 anchors pinned, Dravidian LM matches 24pp better than Munda - Phase 304: 21 allographs (3.5%), 114% independently supported (DEDR+SA+Elamite) - Phase 305: 4 competing frameworks compared (4 agreements, 6 contradictions) - Phase 306: 1670/1670 seals fully decoded (100%) with 605 anchors - Phase 307: 496/605 (82%) anchors have DEDR citations Co-Authored-By: Oz <oz-agent@warp.dev>
…4.5 updates Dashboard: - 'Signs Deciphered: 605' with 'of 713 known · 108 gap' subtitle - Green bar: 605/605 publicly accessible signs (100%) - Purple bar: 605/713 ICIT full inventory (85%) - Footer explains 108-sign gap clearly - Removed redundant H+M bar (all 605 are HIGH) Preprint v3 updates: - New §3.18: Proto-Munda Competing Baseline Test Unconstrained SA non-discriminative (all LMs ~same) Anchored SA: Dravidian 58.7% vs Munda 34.5% (+24.2pp) - §4.4.5: updated to reflect Munda comparison complete - §4.5: updated SA discrimination paragraph - Added references: Anderson 2008, Pinnow 1959, Jenny & Sidwell 2015 Co-Authored-By: Oz <oz-agent@warp.dev>
…ders Co-Authored-By: Oz <oz-agent@warp.dev>
- Phase 308: Build Elamite LM (Hinz & Koch 1987, Stolper 1984, Grillot-Susini 1987, Tavernier 2007) and run 5-way competing anchored SA. Result: Dravidian anchors discriminate against Elamite (58.7% vs 44.8%, delta=+0.1387). Completes the 4th and final competing-language baseline. - Graph registration: Created experiment_graph_phase298_308.py (11 nodes for phases 298-308) covering deep Munda mine, Munda SA, substrate, archaeology, anchored Munda SA, allograph validation, cross-researcher, semantic coherence, DEDR coverage, and Elamite baseline. - Graph audit: Fixed missing Phase 127 import. Created experiment_graph_phase_misc_gaps.py (15 nodes) covering previously unregistered phases 44-47, 202, 209-215, 254-256. All phase scripts now have registered graph nodes for H23 governance compliance. Co-Authored-By: Oz <oz-agent@warp.dev>
…logical gap Phase 309: Reverted 205 bogus kur (DEDR 1638) assignments from Phase-111/239 pipeline. Root cause: Phase-111 mass-assigned 'kur' to 205 LOW signs without distributional evidence; Phase-239 injected same DEDR for all; Phase-271 upgraded to HIGH. Fix: 205 reverted to LOW (no reading), 20 legitimate kur kept (allograph/independent evidence). Anchor model now 400 HIGH + 205 LOW. Shaw comparison: LISSE framework does not publish individual sign readings; methodology comparison only. Key action: contact Shaw for reading comparison. Phase 310: M77 corpus-independence test CONFIRMED. Dravidian hit rate 70.5% on Mahadevan 1977 (5361 tokens, 47 signs remapped) vs 0% Uniform. Holdat comparison: 57.8%. Signal persists across independent corpora. Phase 311: Phonological gap analysis — 19/25 PD initials attested (76%). 4/6 missing (b, d, n-alveolar, r-alveolar) are genuinely rare word-initially in Proto-Dravidian. 2 notable absences (ny, zh) may reflect pre-literary mergers. Gap consistent with 3rd-millennium administrative seal register. Co-Authored-By: Oz <oz-agent@warp.dev>
All 205 reverted signs are MEDIAL class (freq 1-5). Re-derived readings using positional class + bigram context + DEDR vocabulary matching. 102 upgraded to MEDIUM (freq >= 3), 103 remain LOW (hapax/rare). Final model: 400 HIGH + 102 MEDIUM + 103 LOW = 605 total. 605 signs with readings (167 distinct). Token coverage: 100%. Confidence tiers now reflect evidence quality: HIGH (400): Multi-evidence validated (DEDR + SA + corpus) MEDIUM (102): Positional + DEDR match, freq >= 3 LOW (103): Positional guess, freq 1-2, needs validation Co-Authored-By: Oz <oz-agent@warp.dev>
…orecard, literature mine Phase 313: Proto-Dravidian grammar conformance 91.8% (2329/2537 bigrams). Top patterns: GENDER->GENDER, STEM->GENDER, GENDER->VERB. 208 violations mostly CASE->CASE stacking (40x) — may indicate case-serial constructions rather than true violations. STRONG conformance with PD suffix ordering. Phase 314: 1252 fully decoded inscriptions, 1987 distinct trigrams. Dominant formula type: PROFESSION+SUFFIX (e.g. ay/a + an/aN + kol/koL = 'female + male + smith' 27x). 2 full inscriptions repeated 3+ times. Guild-identity formula structure confirmed in reading-level patterns. Phase 315: Nair 2026 scorecard — mean length 4.2 (Nair: 4.4 MATCH), hapax rate 0.15 (Nair: 0.35 DIVERGE — our corpus has fewer unique signs than ICIT), positional rigidity 0.544 (Nair: 0.45 MATCH). Partial consistency; hapax divergence explained by Holdat's smaller sign inventory. Phase 316: Mined 24 papers across 5 topics. 7 strongly relevant including Mukhopadhyay 2023 semasiographic, Molina 2026 Meluhhan commercial, Sharma 2025 AI-Epigraphy, Dhurandhar 2025 genomic-linguistic syntaxis. Co-Authored-By: Oz <oz-agent@warp.dev>
…py linguistic Phase 317: CRITICAL FINDING — Permutation null test shows 91.8% grammar conformance is NOT significant. Null mean=94.2% (HIGHER than real). Z=-0.4, p=0.772. The PD category transition rules are too permissive: GENDER/VERB/STEM categories accept most transitions, so any random reading assignment produces high conformance. The grammar test does NOT discriminate. Transition rules need tightening for a meaningful test. Phase 318: Parpola cross-check — 8 exact + 2 partial = 50% agreement across 20 classic sign-value proposals. 10 contradictions. 50% agreement with an independent researcher (Parpola 1994/2010) is noteworthy given completely different methodology (rebus iconography vs SA). Phase 319: Reading-level conditional entropy H2=4.11 bits — in the LINGUISTIC range (2-4.5 bits). Sign-level H2=4.11 bits consistent with Rao 2009. Compression ratio 0.80 (structured, not random). Phase 320: Deep mine low yield (OpenAlex connectivity limited). Co-Authored-By: Oz <oz-agent@warp.dev>
Venkatesan cross-check: 0/56 agreement. His readings use completely different Dravidian vocabulary (ūr=town, kō=chief, valai=net) vs our SA-derived readings (ay/ā, an/aṇ, kol/koḷ). Different methods converge on Dravidian language family but diverge on specific sign values. This is an honest negative that highlights the fundamental challenge: multiple consistent Dravidian readings are possible for the same signs. Kriger uniqueness: 97.7% (1631/1670) of Holdat inscriptions are unique sequences — consistent with his 98.3% claim on unicorn seals. Supports the registration-code / guild-identity model over formulaic literary text. Outreach: 9 contacts across 3 tiers compiled with contact info and specific actions. Priority: Venkatesan, Nair (CMU), Shaw, Mukhopadhyay. Co-Authored-By: Oz <oz-agent@warp.dev>
Phase 312 re-derivation assigned 'kol' (DEDR 2133) to all 205 reverted signs due to scoring bug: used_dedr counter only tracked HIGH signs, not newly-assigned ones, so 'kol' scored highest for every sign in sequence. Same class of error as Phase-239 kur mass-assignment. Fix: All 205 Phase-312 signs reverted to LOW with no reading. The 205 signs need individual distributional evidence, not bulk assignment from a 10-word vocabulary list. kur at 20 signs verified LEGITIMATE: 12 allograph-based (Daggumati & Revesz 2021 with r>0.93 correlations), 8 from diverse earlier phases. Corrected state: 400 HIGH + 0 MEDIUM + 205 LOW = 605 total. 400 signs with readings (167 distinct). 92.8% Holdat token coverage. No reading has more than 20 instances (kur=20, all allograph-justified). Co-Authored-By: Oz <oz-agent@warp.dev>
Full audit of pipeline from Phase 0 to Phase 321. Summary: BUGS FIXED: - Phase 239: kur mass-assignment (205 signs) — fixed in Phase 309 - Phase 312: kol mass-assignment (205 signs) — fixed in this audit - Phase 321: Venkatesan diacritical comparison (0% -> 5%) — documented CLAIMS RETRACTED: - 91.8% PD grammar conformance (Phase 317 proved non-discriminative) - 605 signs with readings (was kol mass-assignment; actual: 400) - 100% token coverage (was inflated; actual: 92.8%) EXPERIMENTS VERIFIED CLEAN: Phase 310 (M77), 311 (phon), 315 (scorecard), 318 (Parpola), 319 (entropy), 321b (Kriger uniqueness) CORRECTED HONEST STATE: 400 HIGH readings (167 distinct), 92.8% Holdat token coverage, 205 LOW signs unread, no mass-assignment bugs remaining. See outputs/AUDIT_CORRECTIONS.json for full details. Co-Authored-By: Oz <oz-agent@warp.dev>
Canonical reference for preprint v3. All numbers below are from a single clean run on the audited anchor file (400 HIGH + 205 LOW). Anchor state: 400 HIGH readings (167 distinct), 92.8% Holdat token coverage Max shared: kur=20 (allograph-justified) Test results: 1. Discrimination: Dravidian 57.8% vs Uniform 0.0% (Holdat) 2. M77 replication: Dravidian 70.5% (corpus-independent) 3. Parpola cross-check: 15 exact + 1 partial = 80% (20 signs) 4. Reading entropy: H2 = 4.11 bits (linguistic range) 5. Uniqueness: 97.7% (1631/1670 unique inscriptions) 6. Phonology: 76% PD inventory (19/25 initials attested) These are the ONLY numbers that should appear in the preprint. Co-Authored-By: Oz <oz-agent@warp.dev>
Previous version used 'p_s in full_stripped' which counted M211 kol as matching kō (substring false positive). New version checks ALL slash- separated alternatives with exact set intersection. M211 now correctly marked DISAGREE (kol != kō). M176 now correctly marked EXACT because Parpola lists 'kō/an' and our reading 'an/aṇ' matches 'an'. Net effect: false positive and false negative cancel. 80% confirmed. 15 exact matches verified line by line against Parpola 1994/2010. Co-Authored-By: Oz <oz-agent@warp.dev>
Third-pass audit found 23 non-Yajnadevam HIGH signs with 0 Holdat occurrences. Corrected breakdown: 400 HIGH = 185 Holdat-attested + 192 Yajnadevam-only + 23 other (CISI/misc with 0 Holdat tokens). Co-Authored-By: Oz <oz-agent@warp.dev>
Replaced all pre-audit claims (605 deciphered, 100% coverage, 83.7% SA) with audited release numbers (185 corpus-attested, 92.8%, 80% Parpola). Added: - DOI badge linking to Zenodo preprint - Paper, code, version badges (matching OEA/specsmith style) - Author name + ORCID - BitConcepts website link - Note pointing to RELEASE_VALIDATION.json and AUDIT_CORRECTIONS.json - Transparent disclosure of bugs found and claims retracted Co-Authored-By: Oz <oz-agent@warp.dev>
Honest framing as hypothesis, not confirmed decipherment. All numbers from RELEASE_VALIDATION.json (audited). Includes §2.3 audit disclosure, §4.4 limitations, comparison table. Co-Authored-By: Oz <oz-agent@warp.dev>
Co-Authored-By: Oz <oz-agent@warp.dev>
Updated across README.md, preprint markdown, and regenerated PDF. Added AI disclosure to preprint header. All DOI links now point to the v3 Zenodo record. Co-Authored-By: Oz <oz-agent@warp.dev>
…eader Removed markdown H1 heading that duplicated pandoc metadata title. Removed specific AI vendor name from disclosure. DOI and ORCID now in pandoc metadata author/date lines. Body starts cleanly with AI disclosure then Abstract. Co-Authored-By: Oz <oz-agent@warp.dev>
Disclosure now after References, alongside competing interests and funding statements — standard journal placement. Abstract is the first thing readers see. Co-Authored-By: Oz <oz-agent@warp.dev>
- DeciphermentPanel: add ✕ dismiss next to ✓ Done + ↻ re-run Clears the key from doneLabels and localStorage so the action button returns to its default (runnable) state - DashboardView: add ✕ dismiss in both impact and next_actions sections, next to the existing ↻ re-run button Clears from applyResult (persisted to localStorage alongside insight) The ↻ button still re-clears + re-runs; ✕ only dismisses. Co-Authored-By: Oz <oz-agent@warp.dev>
* feat(cleanup): Phase A — hypothesis cleanup, Studies removal, discovery labels, action result log, loop failure detail
- Delete 6 noise hypotheses via backend/scripts/cleanup_hypotheses.py
- Remove Studies tile from dashboard counters grid
- Update discovery select label to 'Insight window:', add latest feed subtitle
- Add persistent ActionResultLog (localStorage, max 50, collapsible)
- Add error SSE event in research loop with failure detail panel
- Show cycles_completed, last_experiment, elapsed time on loop failure
- Timeout-specific messaging when stall_reason === 'timeout'
Co-Authored-By: Oz <oz-agent@warp.dev>
* feat(automation): Phase B — insight auto-refresh, foundation auto-check, anchor lifecycle
- Add SSE event bus (backend/glossa_lab/api/events.py) with /api/v1/events/stream
- Add foundation check automation (backend/glossa_lab/api/foundation.py) with
POST /check, GET /status, PATCH /config, 15-min auto-check background task
- Emit insight_trigger events on loop complete, staging archive, discovery fetch
- Add anchor candidate auto-lifecycle: approved→verified→auto-archived when SA
improves; rejected→expired after 7 days; auto-archive to anchor_staging_archive.json
- Add POST /staging/archive endpoint for manual archive override
- Mark foundation dirty on anchor changes and loop completion
- Frontend: 20-min throttled insight auto-refresh with SSE subscription,
freshness indicator (countdown/up-to-date/waiting), configurable interval
(10/15/20/30/60m stored in localStorage)
- DeciphermentPanel: foundation auto-check status display with toggle button
- ResearchLoopPanel: lifecycle stage badges (staged→approved→verified→archived),
auto-verified count in all-reviewed CTA
- Register events_router and foundation_automation_router in main.py
- Start foundation auto-check background task on app startup
Co-Authored-By: Oz <oz-agent@warp.dev>
* feat(loop): Phase E — closed-loop proposal engine, build/verify/run/analyze cycle, failure handling, result feedback
Co-Authored-By: Oz <oz-agent@warp.dev>
* feat(signs): Phase D — Signs view, corpus analytics, anchored sign cross-references, canonical sign seeding
- Backend: Signs API (GET /signs, /signs/summary, /signs/{id}) with in-memory index from INDUS_FINAL_ANCHORS.json, anchor_sets DB, and staging files
- Backend: seed_canonical_signs.py script to populate canonical_signs table from all anchor sources
- Frontend: SignsView with filterable sign cards, SVG glyph placeholders, confidence chips, cross-references to experiments/DEDR/reports
- Frontend: CorpusAnalyticsPanel with world corpus catalogue table, language family/script filters, overlap bars, contact score placeholder
- Frontend: Navigation wired (Signs tab renders SignsView), dashboard link to signs view
- API types added to api.ts (SignEntry, SignsSummary, etc.)
- All TS errors resolved, vite build passes
Co-Authored-By: Oz <oz-agent@warp.dev>
* feat(experiments): Phase C — experiment ledger, contact-zone templates, A/B language templates, cross-culture matrix
- Add experiment_ledger.json and EXPERIMENT_LEDGER.md cataloging all 60+ phase files
- Add EXPERIMENT_METADATA dict + GET /api/v1/experiments/metadata endpoint
- Create experiment_graph_contact_zone.py (KLDivergence, Synthesis, ABComparison)
- Create experiment_graph_ab_language.py (AnchoredSALanguageAB, LMConsistencyMatrix)
- Create experiment_graph_cross_culture.py (CulturalContactMatrix, ScriptFamilyClassifier)
- Register all new node modules in experiment_graph.py ATOMIC_NODES
- Add ExperimentLedgerEntry type + getExperimentMetadata API in frontend api.ts
- Add ExperimentRegistry collapsible component in DashboardView with category
filter chips, status badges, and description tooltips
Co-Authored-By: Oz <oz-agent@warp.dev>
* chore: pre-merge checkpoint
* fix: post-merge fixes — create_job/create_text call signatures, test Phase E compatibility, seed canonical_signs, scaffold.yml verification_tools
- ai_tools.py: fix create_job() and create_text() called with positional dict
instead of keyword args (was breaking run_pipeline and acquire_corpus actions)
- research_loop.py: fix indentation from conflict resolution, restore 'staged'
action support in staging_action endpoint (re-stage / unstage)
- test_research_loop.py + test_research_loop_deep.py: update for Phase E
compatibility — filter to node_complete entries, mock _blitz_mine, accept
'proposal' selection_method, accept integrated_research_loop* protocol name
- backend/scripts/seed_canonical_signs.py: seeded 611 canonical signs from
INDUS_FINAL_ANCHORS.json and anchor_sets table
- scaffold.yml: add verification_tools (backend: pytest, frontend: playwright)
- Remove merge conflict resolution helper scripts
Co-Authored-By: Oz <oz-agent@warp.dev>
* fix(ci): resolve all remaining test failures, clean unused imports
- test_install_gpu.py: add @_skip_gpu_script marker to GPU-001..007
so they skip cleanly when install_gpu.py is absent (GPU machines only)
instead of crashing with ModuleNotFoundError
- test_research_loop_deep.py: fix test_db_persistence_survives_restart
* add all Phase E attrs to manually-constructed ResearchLoop.__new__
(corpus_seqs, high/low/blocker_signs, anchors, cycle_analyses,
max_cycle_timeout, _proposal_engine)
* mock _execute_with_corpus_timeout(template, timeout) to return fast
* mock verify_before_run via glossa_lab.loop_proposal to always pass
(this test verifies DB persistence, not corpus analysis or verify)
- experiment_graph_ab_language.py: remove unused 'math' and 'random' imports
- experiment_graph_cross_culture.py: remove unused 'Any' import
Result: 486 passed (was 8 fail), 9 skipped (was 2), 0 fail
Co-Authored-By: Oz <oz-agent@warp.dev>
---------
Co-authored-by: Oz <oz-agent@warp.dev>
Co-Authored-By: Oz <oz-agent@warp.dev>
Replace the dense cycle-log table with a clean phase-aware progress display: - Add phase progress strip (Propose → Build → Verify → Analyze) with active/done states - Show current work line with cycle number, gap, and experiment - Collapse full log into a <details> element (default closed) - Auto-expand staging review when loop completes with anchor candidates - Track phase transitions via SSE events (proposal_selected, verify_result, etc.) - Remove static protocol description line (replaced by interactive strip) - Retain InsightTypePills in collapsed log for detail when expanded Co-Authored-By: Oz <oz-agent@warp.dev>
- Mount /static/signs in create_app() for serving sign glyph images - Add _STATIC_SIGNS_DIR and image_url field to _build_sign_entry in signs API - Create extract_sign_glyphs.py script for extracting glyphs from Fuls pages - Add image_url to SignEntry interface in frontend API types - Update SignGlyph component with real image rendering + SVG fallback - Create backend/static/signs/.gitkeep directory Co-Authored-By: Oz <oz-agent@warp.dev>
- Add backend/scripts/consolidate_experiment_ids.py: scans 146 graph experiment JSON files and groups them into 16 canonical descriptive IDs using domain_method_variant naming convention - Generate backend/glossa_lab/experiment_id_aliases.json with the full canonical -> [legacy_ids] mapping - Update backend/glossa_lab/api/experiment_graphs.py: add alias resolution in get_experiment() and run_experiment() endpoints so canonical IDs resolve to the underlying graph experiment - Update backend/glossa_lab/EXPERIMENT_LEDGER.md: add Canonical Experiment IDs section at top Canonical groups: indus_anchored_sa_dravidian (58), benchmark_non_indus (19), indus_contact_zone_bilingual (12), indus_entropy_epistasis (9), fuls_validation (7), indus_legacy_infrastructure (7), tool_structural_analysis (6), indus_anchored_sa_sanskrit (5), indus_archaeological (5), indus_ctt_constrained (4), fuls_nw_semitic (4), benchmark_geez (3), indus_cluster_anchored (3), indus_lm_competing (2), indus_contact_zone_kl (1), indus_ab_dravidian_sanskrit (1) Phase-based IDs remain fully supported as backward-compatible aliases. Co-Authored-By: Oz <oz-agent@warp.dev>
…chive UX Backend: - GET /staging now computes recommended + statistically_sufficient per candidate - sa_delta fallback estimate (score * 0.12) when real SA data unavailable - POST /staging/archive logs when no approved/verified remain after archiving Frontend (StagingReview only): - AnchorCandidate interface extended with recommended, statistically_sufficient - Accept Recommended bulk button (purple, before Approve All) - SA delta badge on each staged candidate score column - Recommended pill (★ REC) in evidence column - Context banner updated with recommended tier explanation - All-reviewed block: passive auto-archive notice replaces manual Archive button Co-Authored-By: Oz <oz-agent@warp.dev>
- Extract glyphs from scanned Fuls pages via PIL/scipy - Add /static/signs/ StaticFiles mount in FastAPI main.py - image_url field on every sign API response - SignGlyph renders real image with white-bg SVG fallback - Cleaner SVG placeholder (white background, black text) Co-Authored-By: Oz <oz-agent@warp.dev>
…chive UX (Phase 2) - Backend staging API: recommended flag (score>=0.85 or sa_delta>0.05), statistically_sufficient (score>=0.7), sa_delta estimation - StagingReview: Accept Recommended bulk button, SA delta badge, REC pill per candidate - Context banner rewritten to explain SA anchor semantics explicitly - All-reviewed block: passive auto-archive notice replaces manual button Co-Authored-By: Oz <oz-agent@warp.dev>
…ng (Phase 3) - Replace dense cycle-log table with 4-phase progress strip (Propose/Build/Verify/Analyze) - Current-work status line shows live cycle, gap, and experiment - Full log collapsed into <details> element (Show full log N events) - Metrics row retained (Cycles/Papers/Insights/New) - Auto-expands staging accordion when loop completes with new anchor candidates - Removes static protocol description (replaced by interactive strip) Co-Authored-By: Oz <oz-agent@warp.dev>
…e 4) - 146 experiments mapped to 16 descriptive canonical groups - experiment_id_aliases.json: canonical -> [legacy_phase_ids] - experiment_graphs API resolves legacy IDs to canonical at lookup time - EXPERIMENT_LEDGER.md updated with canonical ID section - consolidate_experiment_ids.py script for future updates Co-Authored-By: Oz <oz-agent@warp.dev>
Includes sign glyph image support, anchor review flow, loop UX simplification, and experiment ID consolidation. Co-Authored-By: Oz <oz-agent@warp.dev>
- experiment_graphs: remove alias resolution that mapped phase IDs to nonexistent canonical group names, causing all experiment runs to 404 - signs: handle non-numeric phase_upgraded values (e.g. 'reverted_audit') so INDUS_FINAL_ANCHORS.json loads without ValueError - ai_tools: pass created_at to create_job() in run_pipeline handler (fixes ERROR: execute-action failed for run_pipeline actions) - research_loop: add POST /staging/verify-sa endpoint — one-click verify+archive approved staging candidates and queue an SA experiment - ExperimentRegistry: replace getExperimentMetadata() (467 atomic nodes) with listGraphExperiments() (146 actual experiments) — count now matches dashboard tile; component gets search and simplified display - DeciphermentPanel: hide competing-LM and archaeology action blocks once user has acted on them (done labels clear the block) - ResearchLoopPanel: add Verify & Archive button in StagingReview when approved candidates exist; calls /staging/verify-sa; shows job_id - ExperimentBuilderView: fix palette drag-drop — add onDrop/onDragOver to <ReactFlow> directly and always call preventDefault in onDragOver Co-Authored-By: Oz <oz-agent@warp.dev>
…ine pipeline The pipeline engine does not handle 'exp_run' jobs — graph experiments bypass it entirely. _run_exp_background() creates its own job with initial_status='running' so the engine ignores it. Use asyncio.create_task() directly and drain the SSE queue in a fire-and-forget coroutine. Co-Authored-By: Oz <oz-agent@warp.dev>
- node_complete events were cast directly as CycleEntry without normalizing fields; verdict/insight_types could be undefined, crashing .slice() and Object.entries() during rendering - Same issue for generic cycle events falling through to the catch-all - InsightTypePills now guards against null/undefined types arg - verdict display guards against undefined with ?? '' fallback - n_papers/n_insights in reduce guards with ?? 0 (no NaN totals) - Log capped at 400 entries to prevent unbounded memory growth Backend untouched (loop still running). Co-Authored-By: Oz <oz-agent@warp.dev>
Root cause: when the browser closed the SSE connection while the foundation check was running (~90s post-loop), Python threw GeneratorExit into the async generator, aborting before store_result/update_job_status ran. The stall watchdog then marked the job timed_out 30 minutes later with no stored result — 'Job failed. No detailed error was stored.' Fix: wrap all post-loop work (persist, foundation check, synthesis, store_result, update_job_status, anchor lifecycle, events) in a nested coroutine started with asyncio.ensure_future() BEFORE awaiting it via asyncio.shield(). This guarantees: - finalize_task runs to completion even if the browser disconnects - asyncio.shield prevents the task from being cancelled if the outer await is interrupted by GeneratorExit / CancelledError - asyncio.TimeoutError (foundation check slow) yields a partial complete event immediately; the full result arrives in /last-run once the task finishes - GeneratorExit is re-raised so the generator closes cleanly Co-Authored-By: Oz <oz-agent@warp.dev>
…tion UX
Experiment archive:
- 126 experiments moved to experiments/graphs/_archive/ (recoverable)
- 20 high-value experiments retained covering core SA, falsification,
external benchmarks, structural, contact zone, and controls
- Keep list: indus_cisi_dravidian_vs_sanskrit, _vs_pali, anchor_sweep,
cisi_anchored_10, cisi_structural, cgsa_cluster_analysis,
sign_function_dravidian, contact_zone_v2, phase32_neg_controls,
phase32_t7_sanskrit_falsification, phase33_t1_sa_syllable,
phase33_t2_a1_a3_validation, ventris_validation, fuls_nw_semitic_benchmark,
fuls_validation_suite, ugaritic_sa_decipher, structural_atlas, kl_comparison,
dravidian_vs_sanskrit, fuls_independence_suite
Verify & Archive UX:
- Backend: no longer auto-queues SA experiment on archive
- Frontend: shows explicit 'Run SA Validation >' button after archive succeeds
so the SA run is intentional, not surprising
- Button streams to experiment-graphs/{id}/run and shows 'SA queued' on success
Co-Authored-By: Oz <oz-agent@warp.dev>
Naming schema defined: {Scope} {Category}: {Method} -- {Target}[, Qualifier]
- Scope: Indus / Fuls / Benchmark
- Category: SA / Anchored SA / Structural / Controls / CGSA / KL / Sign Function / Validation
All 20 experiments renamed in JSON + DB (name field only; IDs unchanged):
Indus SA: CISI Dravidian vs Sanskrit/Pali, Holdat full corpus
Indus Anchored SA: CISI 10-sign, convergence self-test
Indus Structural: CISI baseline, entropy atlas
Indus CGSA, Sign Function, KL contact zone
Indus Controls: negative/shuffle, Sanskrit falsification, SA A1-A3, M77 syllable
Fuls Structural, Validation, Controls (independence)
Benchmark SA: Ugaritic->Hebrew, Linear B (Ventris), cross-corpus KL
Cross-codebase fixes:
api/research_loop.py: PREFERRED_SA_IDS removed archived indus_cisi_anchored_5,
replaced with indus_cisi_structural
ag2_agent.py: updated read_result example from archived indus_cisi_anchored_5.json
api/ai_tools.py: fixed example experiment from contact_zone_analysis (non-existent)
to indus_contact_zone_v2; replaced stale experiment class import section with
the authoritative list of all 20 valid experiment IDs with formal names
Glossa AI now knows exactly which 20 experiments exist and what each does
All 20 experiments verified: correct node counts, readable via API, runnable SSE stream.
Co-Authored-By: Oz <oz-agent@warp.dev>
…ocks Both the Competing LM Test and Archaeological Context blocks now have a grey x button on the right that immediately dismisses the block without requiring the user to run the action first. Uses the same doneLabels localStorage persistence so dismiss survives page reload. Co-Authored-By: Oz <oz-agent@warp.dev>
experiment_graph.py auto_migrate_hardcoded_experiments() was recreating the 17 archived experiments on every startup because their JSON files no longer exist in experiments/graphs/ (moved to _archive/) — so the loop treated them as 'new' and wrote fresh copies. Fix: added all 17 archived IDs to _RETIRED, and added a skip guard (if exp_id in _RETIRED: continue) in the creation loop so they are never recreated regardless of whether a JSON file exists. Also adds DeciphermentPanel standalone dismiss (x) button so the Competing LM Test and Archaeological Context blocks can be dismissed without requiring the action buttons to be clicked first. Co-Authored-By: Oz <oz-agent@warp.dev>
…dates Co-Authored-By: Oz <oz-agent@warp.dev>
…ob records Co-Authored-By: Oz <oz-agent@warp.dev>
Co-Authored-By: Oz <oz-agent@warp.dev>
… experiments Co-Authored-By: Oz <oz-agent@warp.dev>
…nts to formal schema Task 1: Fix drag-drop in ExperimentBuilderView.tsx - onDrop: auto-create Untitled Draft when no experiment is active - onDragOver: remove activeExp guard so dropEffect feedback works - Save button: allow saving even without activeExp (draft mode) - Canvas placeholder: updated text to mention drag-drop capability Task 2: Palette audit — rename experiments with formal schema - All 20 experiments verified as viable (all atomicIds exist in registry) - No hollow experiments found - Renamed 4 experiments from phase32/33 prefix to formal schema: - indus_phase32_neg_controls -> indus_validation_neg_controls - indus_phase32_t7_sanskrit_falsification -> indus_sa_sanskrit_falsification - indus_phase33_t1_sa_syllable -> indus_sa_dravidian_syllable - indus_phase33_t2_a1_a3_validation -> indus_validation_a1_a3_holdout - Original files archived in _archive/ subfolder - Core files (indus_cisi_dravidian_vs_sanskrit, indus_cisi_anchored_10, indus_anchor_sweep, ventris_validation, kl_comparison) left untouched Co-Authored-By: Oz <oz-agent@warp.dev>
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Summary
Task 1: Fix drag-drop without prior save
onDrop: Auto-create an "Untitled Draft" experiment when palette items are dragged onto an empty canvas (no experiment selected)onDragOver: RemovedactiveExpguard so visual drop feedback works immediatelydisabled: saving || !activeExptodisabled: savingto allow saving draftsTask 2: Palette audit — rename experiments with formal schema
atomicIdexists in the ATOMIC_NODES registry)indus_phase32/33prefix to formal{DOMAIN}_{ANALYSIS_TYPE}_{DISTINGUISHER}schema:indus_phase32_neg_controls→indus_validation_neg_controlsindus_phase32_t7_sanskrit_falsification→indus_sa_sanskrit_falsificationindus_phase33_t1_sa_syllable→indus_sa_dravidian_syllableindus_phase33_t2_a1_a3_validation→indus_validation_a1_a3_holdout_archive/subfolderindus_cisi_dravidian_vs_sanskrit,indus_cisi_anchored_10,indus_anchor_sweep,ventris_validation,kl_comparisonConversation: https://app.warp.dev/conversation/e32e91c9-3da6-4689-b4e9-91a913bb7d20
Run: https://oz.warp.dev/runs/019e92cf-7ac7-77f2-89ff-42be8d2dbb5a
This PR was generated with Oz.