{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:IUHBZTYJV3H7ZJPIYIHSOPVJYS","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":"d4b3f0dd2f4317f9aab112e0ae65c2b3267ce1046cf1076f844d9e28a9d24845","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-10-20T07:54:46Z","title_canon_sha256":"c84309328e87d7ab5f3a0ba6f7d794e9ed436159a7772f01488738bd17313222"},"schema_version":"1.0","source":{"id":"2510.17269","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2510.17269","created_at":"2026-05-21T01:04:17Z"},{"alias_kind":"arxiv_version","alias_value":"2510.17269v2","created_at":"2026-05-21T01:04:17Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2510.17269","created_at":"2026-05-21T01:04:17Z"},{"alias_kind":"pith_short_12","alias_value":"IUHBZTYJV3H7","created_at":"2026-05-21T01:04:17Z"},{"alias_kind":"pith_short_16","alias_value":"IUHBZTYJV3H7ZJPI","created_at":"2026-05-21T01:04:17Z"},{"alias_kind":"pith_short_8","alias_value":"IUHBZTYJ","created_at":"2026-05-21T01:04:17Z"}],"graph_snapshots":[{"event_id":"sha256:83b9ea745e10d9a0fdd2233e80513bad9d9ff89ab5f51c4ed7c8e08d3a2a4d2a","target":"graph","created_at":"2026-05-21T01:04:17Z","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/2510.17269/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The advancement of vision-language models (VLMs) is hampered by a fragmented landscape of inconsistent and contaminated public datasets. We introduce FineVision, a meticulously collected, curated, and unified corpus of 24 million samples - the largest open resource of its kind. We unify more than 200 sources into 185 subsets via a semi-automated, human-in-the-loop pipeline: automation performs bulk ingestion and schema mapping, while reviewers audit mappings and spot-check outputs to verify faithful consumption of annotations, appropriate formatting and diversity, and safety; issues trigger ta","authors_text":"Amir Mahla, Andr\\'es Marafioti, Aritra Roy Gosthipaty, Leandro Von Werra, Luis Wiedmann, Orr Zohar, Rui Li, Thibaud Frere, Xiaohan Wang","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-10-20T07:54:46Z","title":"FineVision: Open Data Is All You Need"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2510.17269","kind":"arxiv","version":2},"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":"sha256:01e59f4f99bb1e6da4a7913dafa4bcf861f79aeebe76df71ec34160240f2f5e6","target":"record","created_at":"2026-05-21T01:04:17Z","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":"d4b3f0dd2f4317f9aab112e0ae65c2b3267ce1046cf1076f844d9e28a9d24845","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-10-20T07:54:46Z","title_canon_sha256":"c84309328e87d7ab5f3a0ba6f7d794e9ed436159a7772f01488738bd17313222"},"schema_version":"1.0","source":{"id":"2510.17269","kind":"arxiv","version":2}},"canonical_sha256":"450e1ccf09aecffca5e8c20f273ea9c4939ae99f9d803c2c322f3d9f658f92e6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"450e1ccf09aecffca5e8c20f273ea9c4939ae99f9d803c2c322f3d9f658f92e6","first_computed_at":"2026-05-21T01:04:17.882920Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-21T01:04:17.882920Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"tdaaEFhw/UAqkYf2v/mxCNmJ1qsDt2Nik6tblD67YIZbg9JSerjv7HalMvw4AIWR2sEMuDGCZ03B0G0yA8TYAQ==","signature_status":"signed_v1","signed_at":"2026-05-21T01:04:17.883806Z","signed_message":"canonical_sha256_bytes"},"source_id":"2510.17269","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:01e59f4f99bb1e6da4a7913dafa4bcf861f79aeebe76df71ec34160240f2f5e6","sha256:83b9ea745e10d9a0fdd2233e80513bad9d9ff89ab5f51c4ed7c8e08d3a2a4d2a"],"state_sha256":"cffd7f57c47ddb64cae8f20616954084487705271281ba7641dc0637c68ff383"}