{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:65ZNJHXBKAEA2YESAVR3UU5ON2","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":"0740863111df0172d880b27ab4c06e0c2b86b4180d1c23f86f1d1dc68b94f507","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-13T11:10:47Z","title_canon_sha256":"927dece04fb9195006673ad7275417a280aaff3cb53ba7f64fecd572ae1597b9"},"schema_version":"1.0","source":{"id":"2504.09518","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.09518","created_at":"2026-07-05T10:48:38Z"},{"alias_kind":"arxiv_version","alias_value":"2504.09518v1","created_at":"2026-07-05T10:48:38Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.09518","created_at":"2026-07-05T10:48:38Z"},{"alias_kind":"pith_short_12","alias_value":"65ZNJHXBKAEA","created_at":"2026-07-05T10:48:38Z"},{"alias_kind":"pith_short_16","alias_value":"65ZNJHXBKAEA2YES","created_at":"2026-07-05T10:48:38Z"},{"alias_kind":"pith_short_8","alias_value":"65ZNJHXB","created_at":"2026-07-05T10:48:38Z"}],"graph_snapshots":[{"event_id":"sha256:e7a4efc0e92b58f77f8bbf2bfec0949a920811d9519e2258daa305c47d99aa00","target":"graph","created_at":"2026-07-05T10:48:38Z","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/2504.09518/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"3D captioning, which aims to describe the content of 3D scenes in natural language, remains highly challenging due to the inherent sparsity of point clouds and weak cross-modal alignment in existing methods. To address these challenges, we propose 3D CoCa, a novel unified framework that seamlessly combines contrastive vision-language learning with 3D caption generation in a single architecture. Our approach leverages a frozen CLIP vision-language backbone to provide rich semantic priors, a spatially-aware 3D scene encoder to capture geometric context, and a multi-modal decoder to generate desc","authors_text":"Hao Tang, Ting Huang, Yemin Wang, Zeyu Zhang","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-13T11:10:47Z","title":"3D CoCa: Contrastive Learners are 3D Captioners"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.09518","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":"sha256:1bc61ed2e77507271f1cf8e7c92d034404ccf909bc16c70eb83def61d4e754ce","target":"record","created_at":"2026-07-05T10:48:38Z","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":"0740863111df0172d880b27ab4c06e0c2b86b4180d1c23f86f1d1dc68b94f507","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2025-04-13T11:10:47Z","title_canon_sha256":"927dece04fb9195006673ad7275417a280aaff3cb53ba7f64fecd572ae1597b9"},"schema_version":"1.0","source":{"id":"2504.09518","kind":"arxiv","version":1}},"canonical_sha256":"f772d49ee150080d60920563ba53ae6e870ee96e838a29f502687c8b28e1c9d4","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f772d49ee150080d60920563ba53ae6e870ee96e838a29f502687c8b28e1c9d4","first_computed_at":"2026-07-05T10:48:38.941735Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:48:38.941735Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VimiUyS1dMu7VEUWAj9QsjQqPenqAS7kCe0m+D1jxc2GmYfLsQvqzhgkQ8NxGj2bOOQqB3i6Zglwvctosvn8Cg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:48:38.942198Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.09518","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1bc61ed2e77507271f1cf8e7c92d034404ccf909bc16c70eb83def61d4e754ce","sha256:e7a4efc0e92b58f77f8bbf2bfec0949a920811d9519e2258daa305c47d99aa00"],"state_sha256":"14e6213f57abad4d969c79e0fbc1093f94c88f5b169d4e077e4b3b43fab39646"}