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ZENODO
Preprint . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
ZENODO
Preprint . 2026
License: CC BY
Data sources: Datacite
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Inference Receipts: Lightweight Cryptographic Commitment Chains for Auditable Generative AI

Authors: Erlwein, Noah;

Inference Receipts: Lightweight Cryptographic Commitment Chains for Auditable Generative AI

Abstract

This Zenodo record publishes the canonical public evidence capsule for Inference Receipts: Lightweight Cryptographic Commitment Chains for Auditable Generative AI. The archive contains the manuscript, complete figure set, benchmark summaries for experiments E1 through E10, example receipt chains, zero-dependency verification scripts, validation transcripts, checksum manifests, and the migration receipt that binds the public capsule inside the research repository. The supported claim boundary is narrow: model identity, sampling configuration, and emitted token or output payloads can be committed into low-cost, tamper-evident receipts under an honest-emitter trust model. The public archive supports checksum verification, receipt-hash verification, and replay-condition inspection for the shipped examples. This record does not claim proof-carrying faithful execution, a deployed public transparency-log service, universal deterministic replay across hardware or quantization choices, reliable false-claim rejection by the 7B DECIDE gate, or disclosure of production fingerprinting, canonicalization, routing, or deployment internals. The Zenodo archive is the canonical public release surface; no mutable public code repository is required for review within the stated claim boundary.

Keywords

AI auditing, generative AI, cryptographic commitment, inference receipts, inference verification

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    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average