{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:NDSDVM3RAC7JYATTDKDH6PIER5","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"a9c01e0afd59e7b01b4aa435fc091a5871bd46c45897885dafab5b2f1246cb58","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T11:14:37Z","title_canon_sha256":"2cd38312c1dafcc823d4cb8b938534e6cff5a3e390143c1bd8762d62e0a574c7"},"schema_version":"1.0","source":{"id":"2605.28313","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2605.28313","created_at":"2026-05-28T01:05:06Z"},{"alias_kind":"arxiv_version","alias_value":"2605.28313v1","created_at":"2026-05-28T01:05:06Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2605.28313","created_at":"2026-05-28T01:05:06Z"},{"alias_kind":"pith_short_12","alias_value":"NDSDVM3RAC7J","created_at":"2026-05-28T01:05:06Z"},{"alias_kind":"pith_short_16","alias_value":"NDSDVM3RAC7JYATT","created_at":"2026-05-28T01:05:06Z"},{"alias_kind":"pith_short_8","alias_value":"NDSDVM3R","created_at":"2026-05-28T01:05:06Z"}],"graph_snapshots":[{"event_id":"sha256:44c4bac7b9c17ed8bc058d05c79ec4c8c6330380777d3313e440aee0c402bf13","target":"graph","created_at":"2026-05-28T01:05:06Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2605.28313/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large Language Models (LLMs) have demonstrated remarkable capabilities in tasks related to reasoning and judgment. However, assessing the quality of arguments requires a rigorous evaluation. We investigate the extent to which LLMs can effectively perform this task. We tested 12 open-weight LLMs of different sizes and families under zero-shot, few-shot, and chain-of-thought to approximate expert pairwise comparisons of argument quality across three dimensions-logical, rhetorical, and dialectic-and used these comparisons in a Bradley-Terry model to infer latent strength scores and derive a ranki","authors_text":"Agnes Paullate Nyiranziza, Davide Ceolin, Nicol\\'as Benjam\\'in Ocampo","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T11:14:37Z","title":"Argument Quality Assessment with Large Language Models: A Pairwise Bradley-Terry Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2605.28313","kind":"arxiv","version":1},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:1703e7c9d86c42cde1bbe35a0e39555f6f8388ba7c5e64c5d6368eefae9da847","target":"record","created_at":"2026-05-28T01:05:06Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"a9c01e0afd59e7b01b4aa435fc091a5871bd46c45897885dafab5b2f1246cb58","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2026-05-27T11:14:37Z","title_canon_sha256":"2cd38312c1dafcc823d4cb8b938534e6cff5a3e390143c1bd8762d62e0a574c7"},"schema_version":"1.0","source":{"id":"2605.28313","kind":"arxiv","version":1}},"canonical_sha256":"68e43ab37100be9c02731a867f3d048f66cf15f648883d3f9e9eccbafd86ad01","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"68e43ab37100be9c02731a867f3d048f66cf15f648883d3f9e9eccbafd86ad01","first_computed_at":"2026-05-28T01:05:06.130359Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-28T01:05:06.130359Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Oobrswl9qJCFxMroicdDdRlO/vP+A6o46eUdtAuwQ8NBwCTf9wrReE1Cgxyu4hxrTE8LfTXVF2vgOLOHB+d4DQ==","signature_status":"signed_v1","signed_at":"2026-05-28T01:05:06.130885Z","signed_message":"canonical_sha256_bytes"},"source_id":"2605.28313","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1703e7c9d86c42cde1bbe35a0e39555f6f8388ba7c5e64c5d6368eefae9da847","sha256:44c4bac7b9c17ed8bc058d05c79ec4c8c6330380777d3313e440aee0c402bf13"],"state_sha256":"41d89a8d02effeeb8aa1941e51e63f4767ba3c8271f0f96fd20dd07b44d4bc45"}