{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:QOFWCY46E2UODTJ24URBS37YNJ","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":"0cf90bb4dd08af16bdc7c45ba5e86422ae70c5c939e29e7da2ac0943807d8c33","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-24T21:25:29Z","title_canon_sha256":"85c042866e6202bb9b78c3d351acf66618d2f97f453d6bbbd6c20ac0629a8887"},"schema_version":"1.0","source":{"id":"2503.19157","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2503.19157","created_at":"2026-07-05T10:38:50Z"},{"alias_kind":"arxiv_version","alias_value":"2503.19157v1","created_at":"2026-07-05T10:38:50Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2503.19157","created_at":"2026-07-05T10:38:50Z"},{"alias_kind":"pith_short_12","alias_value":"QOFWCY46E2UO","created_at":"2026-07-05T10:38:50Z"},{"alias_kind":"pith_short_16","alias_value":"QOFWCY46E2UODTJ2","created_at":"2026-07-05T10:38:50Z"},{"alias_kind":"pith_short_8","alias_value":"QOFWCY46","created_at":"2026-07-05T10:38:50Z"}],"graph_snapshots":[{"event_id":"sha256:4c233e2fc72bb45662aef3b2538945a1ebf7163b72b968c0af330914f4949728","target":"graph","created_at":"2026-07-05T10:38:50Z","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/2503.19157/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"We introduce HOIGPT, a token-based generative method that unifies 3D hand-object interactions (HOI) perception and generation, offering the first comprehensive solution for captioning and generating high-quality 3D HOI sequences from a diverse range of conditional signals (\\eg text, objects, partial sequences). At its core, HOIGPT utilizes a large language model to predict the bidrectional transformation between HOI sequences and natural language descriptions. Given text inputs, HOIGPT generates a sequence of hand and object meshes; given (partial) HOI sequences, HOIGPT generates text descript","authors_text":"Bugra Tekin, Fu-Jen Chu, Hao Tang, Haoyu Ma, Hongfei Xue, Kevin J Liang, Kris Kitani, Matt Feiszli, Mingzhen Huang, Pierre Gleize, Siwei Lyu, Weiyao Wang, Xingyu Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-24T21:25:29Z","title":"HOIGPT: Learning Long Sequence Hand-Object Interaction with Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2503.19157","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":"sha256:552bae1f6602e7b1149831880fba136b9f58cf55e22ad1b008e4206619534301","target":"record","created_at":"2026-07-05T10:38:50Z","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":"0cf90bb4dd08af16bdc7c45ba5e86422ae70c5c939e29e7da2ac0943807d8c33","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2025-03-24T21:25:29Z","title_canon_sha256":"85c042866e6202bb9b78c3d351acf66618d2f97f453d6bbbd6c20ac0629a8887"},"schema_version":"1.0","source":{"id":"2503.19157","kind":"arxiv","version":1}},"canonical_sha256":"838b61639e26a8e1cd3ae522196ff86a4a052145b0b5c8ad1b25a83763fc7c49","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"838b61639e26a8e1cd3ae522196ff86a4a052145b0b5c8ad1b25a83763fc7c49","first_computed_at":"2026-07-05T10:38:50.757499Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:38:50.757499Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"9MFxynbRr4ehXpqIq/OHWnhQcERZsqLPJ5/GNW7Cx8s3vSC/nkdWb+k0eVGTCt/QPuO7S5+PtAsX0vEB40x2Ag==","signature_status":"signed_v1","signed_at":"2026-07-05T10:38:50.757936Z","signed_message":"canonical_sha256_bytes"},"source_id":"2503.19157","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:552bae1f6602e7b1149831880fba136b9f58cf55e22ad1b008e4206619534301","sha256:4c233e2fc72bb45662aef3b2538945a1ebf7163b72b968c0af330914f4949728"],"state_sha256":"dd0be444601e1c0e36acfa580b3f5f38153808444bccc57215aa67c545c2eef5"}