Nish

atomizer on Fastino's GLiNER2.5 base (fastino/gliner2.5-base-v1) with a head-interaction block ("xhead"): a single-pass span atomizer with a critic. It splits a text into short, self-contained claims ("atoms") and scores each one for verifiable (is it a checkable factual claim) and checkworthy (is it worth checking). 217M parameters; ~1.5× slower than the small model. The model does not generate text. It selects words from the input, replaces references ("She" → "Marie Curie") with earlier spans or keeps them as written, and adds closed-class glue words ("is", "the", "'s"). An atom cannot contain a name or number that is not in the input. One repo per architecture. The atomizer models live…

atomizer on Fastino's GLiNER2.5 base (fastino/gliner2.5-base-v1) with atomizer's standard heads: a single-pass span atomizer with a critic. It splits a text into short, self-contained claims ("atoms") and scores each one for verifiable (is it a checkable factual claim) and checkworthy (is it worth checking). 202M parameters. The model does not generate text. It selects words from the input, replaces references ("She" → "Marie Curie") with earlier spans or keeps them as written, and adds closed-class glue words ("is", "the", "'s"). An atom cannot contain a name or number that is not in the input. One repo per architecture. The atomizer models live in one Hugging Face repo per backbone and…

atomizer on Fastino's GLiNER2.5 base (fastino/gliner2.5-base-v1) with its native heads: a single-pass span atomizer with a critic. It splits a text into short, self-contained claims ("atoms") and scores each one for verifiable (is it a checkable factual claim) and checkworthy (is it worth checking). 192M parameters, ~10 ms per text on a GPU, 60–70 ms on a laptop CPU. The model does not generate text. It selects words from the input, replaces references ("She" → "Marie Curie") with earlier spans or keeps them as written, and adds closed-class glue words ("is", "the", "'s"). An atom cannot contain a name or number that is not in the input. One repo per architecture. The atomizer models live…

atomizer on GLiNER small v2.5 (gliner-community/glinersmall-v2.5): a single-pass span atomizer with a critic. It splits a text into short, self-contained claims ("atoms") and scores - verifiable: is this a factual claim that can be checked? - checkworthy: is it worth fact-checking? Atomization is the step any claim-level fact-checking tool depends on: search, evidence judgment and the verdict all work on the claims it produces, so a claim that is missed, merged or wrongly resolved here cannot be checked correctly later. The figure shows fact-assessor, our own opinionated fact-assessment tool: atomizer is the "trained atomizer" option of its Atomization step, and its verifiable / checkworthy…