Grail Computer · research record
Dated experiment record. Statements describe this run, not current submission readiness. Historical H. pylori category names do not establish infection; copy screens are bounded tests. Claims that a source does not exist mean none was identified in that recorded search, not proof of absence. Licensing interpretations in the notes remain unconfirmed. Local access details have been omitted. Current limitations and remaining work.

Z-Image split-corrected normal challenger

Result

FAIL for candidate production. Run 20260827T013450Z-zimage-normal completed successfully on deployed commit 5ad0fefce453778933b4f2393df4b1b70af256f9, but no whole checkpoint met the frozen normal-gastric morphology gate. The three earlier launches remain infrastructure-only failures; this fourth launch is the first valid scientific Z-Image result.

Integrity, rights evidence, and split

Privacy

Both preregistered screens pass. Against the corrected 32-field normal corpus, maximum DINO cosine is 0.894674 and minimum dHash distance is 23. Against the full corrected 128-field caption-neutral corpus, maximum DINO cosine is 0.897912 and minimum dHash distance is 15. Neither screen found an exact pixel match. DINO and dHash are privacy/nearest-neighbour checks, not clinical-quality evidence.

Whole-checkpoint engineering review

Step Mean absolute gradient Sydney-QA glands/mm2 Sydney-QA mucin/vacuole candidates/mm2 Lumen/tissue Full-resolution result
32 14.020908 442.1 933.3 0.1230 Nearly preserves the zero-shot composition: an implausibly regular surface-to-deep column with oversized, dotted lumina rather than the local normal gastric topology in the untouched reference; reject
64 11.742981 518.1 1,219.9 0.1267 Adds dense, diffuse surface cellularity while retaining elongated repetitive lumina; reject
96 7.178376 215.9 847.0 0.0456 Strong pink shift, simplified parallel pits, oversized isolated nuclei, and loss of realistic gland diversity; reject
128 5.120024 318.4 939.3 0.1796 Strongest block repetition, excessive open lumina, simplified cellular detail, and no convincing improvement over the reference; reject

The zero-shot control measures 14.328430 mean absolute gradient and the untouched M1 real normal field 7.682061. Step 32 differs from the zero-shot pixels by mean absolute error 5.51844 but does not materially correct its composition. Sydney-QA block-feature maximum cosine rises from 0.9945 at step 32 to 0.9997 at step 128, consistent with the visible increase in repetition. These measurements are descriptive; sharpness and an uncalibrated classical feature count cannot qualify an image.

Sydney-QA extracted raw/normalized stain, nuclei, gland/lumen, mucin/vacuole, inflammatory-surrogate, bacillus-surrogate, and repetition features plus audit masks for all four cells. Every record remains CALIBRATION_REQUIRED. No GI-pathologist-annotated patient/slide-disjoint real envelope exists, so Sydney-QA cannot establish clinical correctness, diagnosis, Sydney grade, or OLGA/OLGIM and does not replace pathologist review.

Runtime, cost, and cleanup

The worker ran for 607 seconds. Conservative A100 instance uptime is 800 seconds, approximately US$0.82 at the project's US$3.673385/hour list-price assumption. The bounded e2-standard-4 recovery worker was chargeable for at most 816 seconds, approximately US$0.03 at US$0.134/hour. Total conservative compute is below US$0.85 before temporary storage, credits, and tax; the A100 itself was Spot.

The A100 and recovery CPU are terminated. After complete local verification, the temporary recovery instance, read-only disk, and snapshot were deleted. The original stopped Z-Image/Qwen disk remains retained.

Decision and smallest correction

No checkpoint advances to another category, canvas, or candidate pool. The failure is specifically validation composition and topology, not integrity, privacy, rights evidence, or runtime.

The smallest causal follow-up is inference-only: validate the same four immutable whole checkpoints with the exact normal caption used for all 32 training fields. The original validation prompt was semantically similar but not byte-identical and omitted the frozen 0.25-micrometre/pixel scale language. config/zimage_normal_prompt_alignment_v1.json preregisters one exact training-caption prompt, the unchanged negative prompt, seed, geometry, 50 steps, CFG 4.0, model, and checkpoint hashes. It changes no weight or training variable. If no whole checkpoint corrects local gastric topology under that single aligned prompt, close this Z-Image LoRA path rather than opening a category or pool.

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