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Who Built This Model? Tracing LLM Lineage via Spectral Fingerprints in Weight Sp

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1 SIGNALFIRST DETECTED 11 August 2026
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29 Sept
Witeness Overlap: Directional Provenance Inside Open-Weight Model Families

arXiv:2609.31784v1 Announce Type: new Abstract: Open-weight models are often released, fine-tuned, aligned, merged, and re-released, making provenance audits ask not only whether

REPORT · WHAT · ArXiv CS.AIOPEN STORY
12 Aug
TokenPrint: A Calibrated Token-Space Fingerprint for Language-Model Provenance

arXiv:2608.08139v1 Announce Type: new Abstract: Establishing the provenance of a language model---including its base checkpoint and possible overlap in training distributions---is

REPORT · HOW · ArXiv CS.AIOPEN STORY
27 Apr
Estimating Tail Risks in Language Model Output Distributions

arXiv:2604.22167v1 Announce Type: cross Abstract: Language models are increasingly capable and are being rapidly deployed on a population-level scale. As a result, the safety of

REPORT · WHEN · ArXiv CS.AIOPEN STORY
27 Apr
Alignment Makes Models More Decisive Without Making Them More Truthful

<!-- SC_OFF --><div class="md"><p>&#x200b;</p> <p>## Abstract</p> <p>Post-training makes language models more decisive without necessarily making them more accurate — and we find

OPINION · HOW · ArtificialInteligenceOPEN STORY
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