# MiniMax H3 laundromat visual-information audit

This package accompanies an original analysis of eight browser-sampled visual moments in the source example `mmh3_008`. It is an editorial case reading, not a story reconstruction, prompt tutorial, model test or sound analysis.

## 1. Actual observation and source

The parent agent used the built-in browser and native media controls/keyboard pausing on:

- Source page: https://minimaxh3.studio/zh/prompts/minimax-h3-late-night-laundromat-glow-animation-mix
- Source video: https://static.atlascloud.ai/model/example/minimax-h3/YM89bFxw3oRB37xzw8TcG9H1nCg.mp4
- Pinned catalog provenance: https://github.com/AtlasCloudAI/awesome-minimax-h3-prompts/blob/ff00e714bf2f972ac9563f9ecfa0e1c3c0b325da/data/prompts.json

The media element reported `duration = 15.104`, `readyState = 4`, `videoWidth = 1280`, `videoHeight = 720`. The eight supplied browser currentTime values are 0, 2.11456, 4.07808, 6.0416, 9.96864, 12.08274, 14.033572 and 15.104 seconds. These are paused visual samples, not exact cut positions, decoded frame PTS, frame numbers or measured hold durations.

The observed date is 2026-10-14. The exact browser wall-clock timestamp was not supplied, so `browserObservedAtUtc` is null rather than invented. `recordAssembledAtUtc` is when the author organized the supplied observation, not when a second viewing occurred. The author did not claim an independent second browser inspection.

`observation.json` records the sample-by-sample visible information, separate editorial interpretation and unresolved points. It hash-binds eight internal screenshots by repository-relative metadata only. The screenshots remain in internal research evidence and are not in this package or public learning assets. No source video, audio, screenshot or full source prompt is redistributed.

## 2. What the visual reading says

The first sample shows foreground fingers/hand and a blurred room, not an identifiable opening sock. Later samples show a jellyfish-like graphic above the hand, a sock-shaped graphic, a fish-like graphic by washer glass and a box-like graphic by a panel. The panel function, box contents and any shopping/laundry task are unverified.

The wider room samples at 12.08274, 14.033572 and the endpoint provide the basis for an editorial reading of growing spatial coverage. The diagram compares those visible scopes. It does not establish continuous object morphing, a single take, a measured expansion speed or a character resolution. The observation table's boundary column is part of the analysis, not a list of tasks already completed.

Audio is `not-listened`. No music, effects, voice or beat-alignment conclusion is made. The original audio-enhanced blueprint remains incomplete; this article deliberately delivers only a visual-information analysis. No new model task or independent H3 reproduction was performed.

## 3. Original assets and evidence identity

`information-expansion.en.svg` and `.zh.svg` are original abstract information diagrams. Their shapes are labels for the comparison, not redraws of source frames. The cover `cover-v1.png` is a symbolic editorial illustration generated by the native image tool and supplied by the parent agent. It is not an H3 result or a frame extracted from the source video.

The pinned production source revision is `28f0a1e20a782f6a40ade97e7c9c2741e9e880cd`. The content source file byte SHA-256 is `7dbaed6887c829fa421fd9d7b20a27b96f958a93c459915efbbfa8fcdee61fc4`. The individual source record's canonical SHA-256 is `2d2f1d023720996d5659a320c1420d4d90d4bac8099262e5c7f2182273bd4eae`. Canonicalization uses Python JSON, sorted object keys, UTF-8, no ASCII escaping, compact comma/colon separators and preserved array order. The prompt itself is not included; its UTF-8 SHA is recorded instead.

Catalog mode/duration fields and browser measurements are kept separate. `originalMode = text` and an empty input list do not reveal an accepted provider request, seed or current capability. A catalog license does not clear the underlying media, performances or music. The remote source video was not re-downloaded or file-hashed by this author.

## 4. Check the download

`observation.csv` is UTF-8 with a BOM and one row per sample. It separates observed text, interpretation and boundaries in both languages. `integrity-receipt.json` documents an actual offline metadata consistency check, not video decoding or model execution.

With Python 3 and no additional package:

```sh
python3 validate-observation.py
```

For a fresh non-overwriting check receipt:

```sh
python3 validate-observation.py --out ./my-check.json
```

Verify the package byte manifest from the extracted folder:

```sh
shasum -a 256 -c SHA256SUMS
```

The checker can confirm the table, metadata and original asset identities. It cannot independently revalidate the private screenshot contents, the external media's future bytes or any unobserved sound. A later audio or sequential-video study should add its own evidence rather than reinterpret these samples as broader coverage.

The companion collection https://minimaxh3.studio/collections/reference-input-readiness addresses named input roles and missing files. It is a different preparation audit, not evidence of how this particular video was generated.