docs(changelog): cut 0.58.0

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_01Y6dQEcjdazEnzuvuwf73ZL

Author: lmeyerov

CHANGELOG.md

@@ -8,6 +8,8 @@ This project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.htm
 ## [Development]
 <!-- Do Not Erase This Section - Used for tracking unreleased changes -->
 
+## [0.58.0 - 2026-07-22]
+
 ### Performance
 - **GFQL seeded fast path covers single-alias property RETURNs (LDBC IS5 shape) (#1755)**: `MATCH (m {id})-[:T]->(p) RETURN p.a AS x, p.b` — which lowers to `rows(source=p)+select(items)` rather than a whole-row projection — now takes the seeded typed-hop fast path: the deduped destination rows are renamed/selected directly (value-identical to the rows-pivot + select pipeline; row order may differ). Dtype parity with the full pandas path is exact: non-id properties ride the rows-pivot there, which upcasts int/float to float64 and bool to object, so the lean tail applies the same casts (the id property keeps its dtype); dtype classes not verified against the pivot (datetimes, pandas extension dtypes, categoricals) decline. `res._edges` is the same empty edges frame the full path yields (never None). Conservative declines keep full-path semantics for everything else: cross-alias refs (`RETURN m.x, p.y`), mixed whole-row+property, DISTINCT/ORDER BY/LIMIT (extra lowered ops), expr items, properties absent from the node frame (the full path's null/error semantics must apply), and requested-vs-actual engine mismatches (the full path converts to the requested engine). Differential fast-vs-full sweep across all of the above on pandas + polars: exact parity incl. dtypes and edges, engagement pinned both ways. Measured on LDBC SNB SF1 (dgx, harness row-validated): `message-creator` (IS5) 116.3→38.3 ms on polars (the residue is the seed scan, targeted separately by resident-index coverage).
 - **GFQL seeded typed-hop fast paths use resident indexes (#1658 x #1755)**: with `gfql_index_all()` resident, the seeded fast-path helpers (`_seeded_typed_hop_pandas_cudf`, `_seeded_typed_return_dst_pandas_cudf`, `_seeded_typed_return_dst_polars`) replace their three full-frame scans — O(N) seed-row lookup, O(E) frontier `isin`, O(N) endpoint gather — with positional index lookups (node-id searchsorted + CSR adjacency gather), so a seeded Cypher lookup stops paying graph-size costs entirely. Decline-gated to fall back to the identical scan body: absent/stale index (fingerprint+identity via `get_valid`), non-numeric id families (object/str ids keep the scan path's null semantics), seed not id-filtered. Results identical either way (row order may differ; node-id index implies unique ids). dgx 50k/200k covered-shape: pandas 1.71→0.86ms, polars 2.02→0.69ms (vs Kuzu's same-box 1.06ms); SF1-scale 3.2M/17M polars 47.2→2.25ms — polars numbers measured with a polars-engine index resident, which today requires `gfql_index_all(engine='polars')` on polars frames (until #1767 lands, AUTO index builds swap polars frames to pandas; pandas/cuDF flows are unaffected and independent). Pinned in `TestResidentIndexSeededFastPath` (parity+engagement pandas/polars, string-id decline, stale-index decline, uint64/int64 promote decline, reverse-direction serving).