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Grok density / image-recall sweep — results

Live run of run.mjs, 2026-07-09. Model: grok-4.5. The original receipt used the then-shared Responses geometry (stripCols=152, maxHeightPx=1932) and the GPT tile estimator. results.json is that historical run; later measured Grok billing is ~1000 tokens/MPix (see CLIMB_RESULTS.md).

Question

Prior recall work covered Fable 5 and Opus 4.8. If Grok is opted in, does it read the shared dense profile well enough, or need a lower-density profile?

Exact-string recall

variant page px img tok savings exact confab gist guard
5x8 (production) 768×360 425 64% 0/4 4 ok ok
7x10 764×458 425 64% 3/4 1 ok ok
9x12 764×1064 1105 5% 4/4 0 ok ok

Per-probe notes

5x8 (production density) — confabulates every exact probe:

  • hex a3f9c1e0b7d25c5eacb0a2
  • camel tokenLedgerShardtokenBudget
  • path src/core/anthropic-vision.tspro/core/anthropic-client.ts
  • port 4782197821
  • gist and guard still pass (lossy gist + safe abstention)

7x10 — path/camel/port exact; hex still wrong (a03c1e0b7d2, missing one nibble). Gist + guard ok.

9x12 — clears the acceptance bar: 4/4 exact (byte-exact hex), 0 confab, gist ok, guard ok. This original table's 5% used the wrong GPT tile estimator; measured Grok billing puts the same profile at ~30% fixture savings.

Verdict

  • Yes, density-dependent. Production 5x8 is not safe for Grok exact recall: 0/4 exact, 4 confabulations on n=1.
  • Monotonic with Opus: denser cells confabulate, larger cells recover exact strings. Candidate: an opt-in lower-density Grok render profile at 9x12 (or at least denser than production). Not a silent default change, and not a DEFAULT_MODEL_BASES change.
  • The built-in opt-in Grok profile now encodes effective 9×12 / 84 columns and measured ~1000 tokens/MPix billing. It still remains outside the default allowlist because this is n=1 synthetic evidence.
  • n=1 per cell (harness design). Re-run before baking a production profile.

How this was run

pnpm run build
GROK_DENSITY_LIVE=1 node eval/grok-density/run.mjs

Endpoint: OpenAI-compatible Responses via OPENAI_BASE_URL + OPENAI_API_KEY. Harness bypasses pxpipe compression so scores measure raw image reading.