Skip to main content

Buildability / Receipt

Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models

This public receipt window renders only fields present in the canonical receipt object, deterministic fixture receipt, or canonical evidence receipt. Missing compute, demo, hash, signature, approval, telemetry, and adoption fields stay explicit.

Public buildability page receipt window

Watch and verify: Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models

/buildability/walking-through-uncertainty-an-empirical-study-of-uncertainty-estimation-for-audio-aware-large-language-models

Watchwatch

Subject: Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models

Verdict

Watch

Verdict is Watch because viability or proof quality is intermediate and should be re-evaluated before execution.

Time to first demo

Insufficient data

No first-demo timestamp, owner estimate, or elapsed demo receipt is attached to this surface.

Compute envelope

Data

{"file name": "input.pdf", "number of pages": 16, "author": "Chun-Yi Kuan; Wei-Ping Huang; Hung-yi Lee"

Compute

{"file name": "input.pdf", "number of pages": 16, "author": "Chun-Yi Kuan; Wei-Ping Huang; Hung-yi Lee", "title": "Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models", "creation date": null, "modification date": null, "kids": []}

Inference

{"file name": "input.pdf", "number of pages": 16, "author": "Chun-Yi Kuan; Wei-Ping Huang; Hung-yi Lee", "title": "Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models", "creation date": null, "modification date": null, "kids": []}

Hardware

{"file name": "input.pdf", "number of pages": 16, "author": "Chun-Yi Kuan; Wei-Ping Huang; Hung-yi Lee", "title": "Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models", "creation date": null, "modification date": null, "kids": []}

Evidence ids

Receipt path

/buildability/walking-through-uncertainty-an-empirical-study-of-uncertainty-estimation-for-audio-aware-large-language-models

Paper ref

walking-through-uncertainty-an-empirical-study-of-uncertainty-estimation-for-audio-aware-large-language-models

arXiv id

2604.25591

Freshness

Generated at

2026-04-29T02:43:42.644Z

Evidence freshness

fresh

Last verification

2026-04-29T02:43:42.644Z

Sources

3

References

0

Coverage

50%

Hash state

Lineage hash

fdcad9ef9d671a06ff851612d0df64362a3cc01d000224d64b0cae2c5f02c07f

Canonical opportunity-kernel lineage hash.

Signature state

External signature

unsigned_external

No founder, registry, pilot, or production-adoption signature is attached to this receipt.

Verification

not_verified

Verification is blocked until an external signature is provided.

Blockers

  • Missing: repo_url
  • Missing: references
  • Missing: proof_status
  • Unknown: proof verification has not been recorded yet

Canonical opportunity-kernel evidence is available for this receipt window.

repo_url

references

Missing proof, requirement, signature, approval, adoption, or telemetry fields are blockers and must not be inferred.

Truth Boundary

External gate remains unresolved for live deployment claims.

Buildability surfaces only report computed viability and proof receipts. They do not claim live production usage, pilot outcomes, founder sign-off, public Brier calibration, judge divergence, or external adoption unless explicitly sourced.