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Two gaps found by running the meter rather than reasoning about it. **The number had no acquisition class.** `joules_micro` was a bare integer, so two conformant implementations could put a counter reading and a modelled constant in the same field and no reader could tell. `VideoReceipt` now carries `energy_provenance` using the family's existing ladder — `HwShunt | ModelBased | Estimator`, the same three names `mesh-schema` and `proof-schema` already define — rather than a new vocabulary invented for this class. The coupling is enforced in `verify()`, not merely documented: an unlabelled non-zero figure is rejected (a number nobody can compare), and so is a labelled zero (a measurement that did not happen). The class is inside the signing payload, so an intermediary cannot promote a modelled figure to a measured one. **The meter would publish a badly wrong number without complaint.** The same clip, same binary, minutes apart: 10,565 uJ/decode on a quiet box, 497 uJ while a build was running — a 21x error, in the flattering direction, caused entirely by an inflated idle baseline collapsing the marginal delta. Nothing in the output distinguished the two. The meter now computes the idle standard deviation and reports the marginal-to-noise ratio with a plain verdict (clean / usable / NOISY - do not publish / UNUSABLE - the box was not idle), warns when the burst barely rises above the machine's own fluctuation, and — the part that matters — emits an UNMETERED receipt when the figure rounds to zero or sits below the noise. A decode that measured 0 uJ did not consume no energy; it failed to measure, and saying so is the only honest report. That path was found by the coupling rule above firing on the meter's own output: it tried to seal `HwShunt` on a zero and its own receipt refused to verify. Verified: 7 receipt tests (the new one pins both halves of the coupling and that the class is signed); meter re-run end to end, sealing `HwShunt` on a good reading and an unmetered receipt on a noisy one. |
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| .. | ||
| vectors | ||
| carriage.rs | ||
| ffi_robustness.rs | ||
| fuzz_smoke.rs | ||
| generate.rs | ||
| int_audio.rs | ||
| int_hyper_synth.rs | ||
| int_splat.rs | ||
| int_video.rs | ||
| int_video_halfpel.rs | ||
| int_video_keyframe.rs | ||
| int_video_sota_keyframe.rs | ||
| int_world.rs | ||
| int_world2.rs | ||
| int_world_shared.rs | ||
| jpegai_bitstream_calibration.rs | ||
| jpegai_color_calibration.rs | ||
| jpegai_dequant_calibration.rs | ||
| jpegai_derive_calibration.rs | ||
| jpegai_e2e.rs | ||
| jpegai_e2e_chain.rs | ||
| jpegai_e2e_chroma.rs | ||
| jpegai_e2e_dequant.rs | ||
| jpegai_e2e_frontend.rs | ||
| jpegai_e2e_full.rs | ||
| jpegai_e2e_hyperlatent.rs | ||
| jpegai_e2e_synthesis.rs | ||
| jpegai_efl_calibration.rs | ||
| jpegai_efn_calibration.rs | ||
| jpegai_hyper_calibration.rs | ||
| jpegai_hyperscale_calibration.rs | ||
| jpegai_icci_calibration.rs | ||
| jpegai_icci_net_calibration.rs | ||
| jpegai_lef_calibration.rs | ||
| jpegai_live.rs | ||
| jpegai_lsbs_calibration.rs | ||
| jpegai_mans_calibration.rs | ||
| jpegai_mans_golden.rs | ||
| jpegai_mcm_calibration.rs | ||
| jpegai_postfilter_chain.rs | ||
| jpegai_reconstruct_calibration.rs | ||
| jpegai_reconstruction_binding.rs | ||
| jpegai_sigma_index_calibration.rs | ||
| jpegai_synthesis_calibration.rs | ||
| jpegai_uv_calibration.rs | ||
| neural_native_decode.rs | ||
| semantic_path.rs | ||
| video_receipt.rs | ||
| world_model.rs | ||
| world_replay.rs | ||