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Layerwise Convergence Fingerprints for Runtime Misbehavior Detection in 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

Ready for execution: Layerwise Convergence Fingerprints for Runtime Misbehavior Detection in Large Language Models

/buildability/layerwise-convergence-fingerprints-for-runtime-misbehavior-detection-in-large-language-models

Build Nowready

Subject: Layerwise Convergence Fingerprints for Runtime Misbehavior Detection in Large Language Models

Verdict

Build Now

Verdict is Build Now because viability and implementation proof cleared the Wave 1 scaffold thresholds.

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": 34, "author": "Nay Myat Min; Long H. Pham; Jun Sun"

Compute

{"file name": "input.pdf", "number of pages": 34, "author": "Nay Myat Min; Long H. Pham; Jun Sun", "title": "Layerwise Convergence Fingerprints for Runtime Misbehavior Detection in Large Language Models", "creation date": null, "modification date": null, "kids": []}

Inference

{"file name": "input.pdf", "number of pages": 34, "author": "Nay Myat Min; Long H. Pham; Jun Sun", "title": "Layerwise Convergence Fingerprints for Runtime Misbehavior Detection in Large Language Models", "creation date": null, "modification date": null, "kids": []}

Hardware

{"file name": "input.pdf", "number of pages": 34, "author": "Nay Myat Min; Long H. Pham; Jun Sun", "title": "Layerwise Convergence Fingerprints for Runtime Misbehavior Detection in Large Language Models", "creation date": null, "modification date": null, "kids": []}

Evidence ids

Receipt path

/buildability/layerwise-convergence-fingerprints-for-runtime-misbehavior-detection-in-large-language-models

Paper ref

layerwise-convergence-fingerprints-for-runtime-misbehavior-detection-in-large-language-models

arXiv id

2604.24542

Freshness

Generated at

2026-04-28T15:17:47.756Z

Evidence freshness

fresh

Last verification

2026-04-28T15:17:47.756Z

Sources

4

References

0

Coverage

67%

Hash state

Lineage hash

d68b92bff3fff8d5688a8e92a9d1ecfba745996560ec6b9dc78ff46a312fddcc

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

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

references

proof_status

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.