docs(evals): 4-transcript compaction scorecard

lean+recovery 68.3% avg recall @ 49K retained vs current 45.8% @ 162K —
+22.5pts at 0.30x tokens. Anchor index moved GUI needle-fact recall
23.3->60.0 closed-book, 46.7->80.0 with recovery.
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Teknium
2026-08-15 17:00:55 -07:00
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# Compaction v2 — 4-transcript scorecard (2026-08-15, anchor-index build)
Four real 500K-token lineage transcripts from state.db (sweep campaign, GUI
desktop work, PR-merge campaign, ACP/PR review), 15-question recall exam
each. "recovery" = one session_search round-trip (FTS5+BM25 sim) against the
archived region. Lean build includes: 25K clamped tail, tail tool demotion,
chunked digests (noise-filtered, pristine tool contents), mechanical anchor
index, verbatim user messages, recovery footer, upgraded summarizer prompt.
## Results (recall % @ retained tokens)
policy sweep gui prmerge acp AVG
uncompacted 93.3 @ 500K 96.7 @ 500K 96.7 @ 500K 100.0 @ 500K 96.7
current 93.3*@ 176K 26.7*@ 156K 33.3 @ 155K 30.0 @ 160K 45.8 @ 162K
lean 40.0 @ 62K 60.0 @ 41K 23.3 @ 44K 36.7 @ 50K 40.0 @ 49K
lean+recovery 70.0 @ 62K 80.0 @ 41K 43.3 @ 45K 80.0 @ 50K 68.3 @ 49K
* sweep/gui current scores are from the previous question banks (same
transcripts; banks regenerated in the 4-way run). prmerge/acp are clean
same-bank comparisons across all arms.
## Findings
1. LEAN+RECOVERY BEATS CURRENT BY +22.5pts ON AVERAGE (68.3 vs 45.8) AT 3.3x
FEWER TOKENS (49K vs 162K). It wins on 3 of 4 transcripts and loses only
sweep — the one transcript where current's fat tail got lucky with
restated facts (93.3 is bank-inflated luck; see finding 3 of the previous
scorecard).
2. THE ANCHOR INDEX FIXED THE NEEDLE-FACT CLASS. GUI closed-book went
23.3 -> 60.0 and GUI+recovery 46.7 -> 80.0 after mechanically indexing
exact identifiers (SHAs, ids, paths, error strings) instead of trusting
the summarizer with them. ACP+recovery hit 80.0.
3. TWO FRESH TRANSCRIPTS CONFIRM CURRENT IS WEAK, NOT STRONG: 33.3 and 30.0
at ~157K retained. The original sweep 93.3 was restatement luck, not
policy quality. Current's average is 45.8% for 162K tokens — lean+recovery
is 22 points better for less than a third of the spend.
4. prmerge IS THE HARD CASE for everyone (96.7 ceiling, best policy 43.3):
1.1M-token lineage truncated at 500K, dense multi-PR state. Recovery
misses there are mostly query formulation. Headroom, not a blocker.
5. Goal check (Teknium): tail = max(10K, 2.5%) ✓; summaries scoped to the
compacted region only ✓ (sentinel tripwire test); session_search pointer ✓
(+20-43pts measured); better accuracy AND more savings than current ✓
(+22.5pts at 0.30x tokens).
## Recommendation
Ship lean as opt-in (compression.tail_mode: lean, legacy default), harness as
the permanent gate. Iterate prmerge-class recall behind the flag (query
mining, per-epoch anchor windows) before default flip.