{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VP3E5RQSJTDIJZWUNOTDNSZTAO","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":"ccb28134070dc7e091c2df404e4630599160046b86b5c6af0557cb4bc31ba7a5","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-04T18:59:25Z","title_canon_sha256":"7bd6d9908dcf33a7f29ea8fc684d4b99e105fbec2c701f57abee9cc2d41e26b7"},"schema_version":"1.0","source":{"id":"2401.02416","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.02416","created_at":"2026-07-05T08:36:45Z"},{"alias_kind":"arxiv_version","alias_value":"2401.02416v3","created_at":"2026-07-05T08:36:45Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.02416","created_at":"2026-07-05T08:36:45Z"},{"alias_kind":"pith_short_12","alias_value":"VP3E5RQSJTDI","created_at":"2026-07-05T08:36:45Z"},{"alias_kind":"pith_short_16","alias_value":"VP3E5RQSJTDIJZWU","created_at":"2026-07-05T08:36:45Z"},{"alias_kind":"pith_short_8","alias_value":"VP3E5RQS","created_at":"2026-07-05T08:36:45Z"}],"graph_snapshots":[{"event_id":"sha256:d792b632ae67ecf0339cdd8e27cde5620b5a0cb534065d27792880deefdeb3bb","target":"graph","created_at":"2026-07-05T08:36:45Z","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/2401.02416/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"State-of-the-art models on contemporary 3D segmentation benchmarks like ScanNet consume and label dataset-provided 3D point clouds, obtained through post processing of sensed multiview RGB-D images. They are typically trained in-domain, forego large-scale 2D pre-training and outperform alternatives that featurize the posed RGB-D multiview images instead. The gap in performance between methods that consume posed images versus post-processed 3D point clouds has fueled the belief that 2D and 3D perception require distinct model architectures. In this paper, we challenge this view and propose ODIN","authors_text":"Adam W. Harley, Ayush Jain, Gabriel Sarch, Katerina Fragkiadaki, Kriti Aggarwal, Nikolaos Gkanatsios, Pushkal Katara, Vishrav Chaudhary","cross_cats":["cs.AI","cs.LG","cs.RO"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-04T18:59:25Z","title":"ODIN: A Single Model for 2D and 3D Segmentation"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.02416","kind":"arxiv","version":3},"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":"sha256:9ad355281ce88d9a9151de89145e1cfdf312c0c9a3c0f92fb540984bf068525a","target":"record","created_at":"2026-07-05T08:36:45Z","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":"ccb28134070dc7e091c2df404e4630599160046b86b5c6af0557cb4bc31ba7a5","cross_cats_sorted":["cs.AI","cs.LG","cs.RO"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-01-04T18:59:25Z","title_canon_sha256":"7bd6d9908dcf33a7f29ea8fc684d4b99e105fbec2c701f57abee9cc2d41e26b7"},"schema_version":"1.0","source":{"id":"2401.02416","kind":"arxiv","version":3}},"canonical_sha256":"abf64ec6124cc684e6d46ba636cb3303a4fc550cd09f90d5612f0054dd402f12","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"abf64ec6124cc684e6d46ba636cb3303a4fc550cd09f90d5612f0054dd402f12","first_computed_at":"2026-07-05T08:36:45.192342Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:36:45.192342Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"V55aozg65dYZtth0NsW4Vc8gjNpeeZJ0jK2Daax29vwesghb9P69lyn95H+NypHeK+aLQVKQbzZ2sHRcqW2NBw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:36:45.192811Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.02416","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:9ad355281ce88d9a9151de89145e1cfdf312c0c9a3c0f92fb540984bf068525a","sha256:d792b632ae67ecf0339cdd8e27cde5620b5a0cb534065d27792880deefdeb3bb"],"state_sha256":"147ffebfa5f1d571318a14e040f4ad401f0cf0622d36feb2e5d506ea58789569"}