{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:XIZKYHVJY2KQHQB4P5JN4SMLHW","short_pith_number":"pith:XIZKYHVJ","canonical_record":{"source":{"id":"2607.21592","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-23T17:59:50Z","cross_cats_sorted":[],"title_canon_sha256":"554a9dc05dd15a099c26e44c2a9efc385efc960eb74b708cc20b49718a11323c","abstract_canon_sha256":"16e1da1b9dd4b59d7505ae16227fe4421e3da4063a8a16721a7be80fd05598d7"},"schema_version":"1.0"},"canonical_sha256":"ba32ac1ea9c69503c03c7f52de498b3d9b20f6007fa315ee92560edd6c9aa4c5","source":{"kind":"arxiv","id":"2607.21592","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.21592","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"arxiv_version","alias_value":"2607.21592v1","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21592","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"pith_short_12","alias_value":"XIZKYHVJY2KQ","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"pith_short_16","alias_value":"XIZKYHVJY2KQHQB4","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"pith_short_8","alias_value":"XIZKYHVJ","created_at":"2026-07-24T01:24:41Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:XIZKYHVJY2KQHQB4P5JN4SMLHW","target":"record","payload":{"canonical_record":{"source":{"id":"2607.21592","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-23T17:59:50Z","cross_cats_sorted":[],"title_canon_sha256":"554a9dc05dd15a099c26e44c2a9efc385efc960eb74b708cc20b49718a11323c","abstract_canon_sha256":"16e1da1b9dd4b59d7505ae16227fe4421e3da4063a8a16721a7be80fd05598d7"},"schema_version":"1.0"},"canonical_sha256":"ba32ac1ea9c69503c03c7f52de498b3d9b20f6007fa315ee92560edd6c9aa4c5","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-24T01:24:41.891769Z","signature_b64":"QlUPgaeCLZDZ0vwjK3LYWqz/SKkCvvCiKrAFtBZvzD8K3PWETnEOXAjTTZI6mK8xgKKleYgmpZgIm8gMJIKcCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ba32ac1ea9c69503c03c7f52de498b3d9b20f6007fa315ee92560edd6c9aa4c5","last_reissued_at":"2026-07-24T01:24:41.890915Z","signature_status":"signed_v1","first_computed_at":"2026-07-24T01:24:41.890915Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2607.21592","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-24T01:24:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"u7pVjMLr/n9eLjmFPRNLZ25DkOeZvrbuxML4K03l+1Ym/Jywss4s286DPsaHJj1i3dDDdR0mqIhhL68zv8jcBQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T02:19:34.937413Z"},"content_sha256":"4c5957ff5e41d03889fcf07956e156c73f0c4d25d5f471b94bf97dad0e3e6a6d","schema_version":"1.0","event_id":"sha256:4c5957ff5e41d03889fcf07956e156c73f0c4d25d5f471b94bf97dad0e3e6a6d"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:XIZKYHVJY2KQHQB4P5JN4SMLHW","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Unified Video Dense Prediction from Disjoint Data","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Bharath Hariharan, Jiahui Huang, Joon-Young Lee, Seoung Wug Oh, Yihong Sun","submitted_at":"2026-07-23T17:59:50Z","abstract_excerpt":"Scene understanding requires simultaneous prediction about geometry, appearance, and semantics. However, existing task-specific annotations are fragmented across incompatible, domain-specific datasets. Current unified systems circumvent this by restricting training to fully co-annotated data, or by incurring the large computational cost of pseudo-labeling. To mitigate this, we introduce UniD, a unified video model that jointly predicts eight dense scene properties-depth, surface normals, semantic segmentation, boundaries, human parts, albedo, shading, and materials-all learned from disjoint, d"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21592","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2607.21592/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-24T01:24:41Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lWmYCDI8e8cKVyAd1aMgCflsCkLwz64556P+Oe0bWNwtxvQ8kNpGvsv28VwAMj1PeNtmpnzR9w4DPsg+5tf9AA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-11T02:19:34.938495Z"},"content_sha256":"4f8d5faa1b1303c7feb50b92a9c362d510ed8ef2c68b61eeda9409412667ed37","schema_version":"1.0","event_id":"sha256:4f8d5faa1b1303c7feb50b92a9c362d510ed8ef2c68b61eeda9409412667ed37"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/XIZKYHVJY2KQHQB4P5JN4SMLHW/bundle.json","state_url":"https://pith.science/pith/XIZKYHVJY2KQHQB4P5JN4SMLHW/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/XIZKYHVJY2KQHQB4P5JN4SMLHW/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-11T02:19:34Z","links":{"resolver":"https://pith.science/pith/XIZKYHVJY2KQHQB4P5JN4SMLHW","bundle":"https://pith.science/pith/XIZKYHVJY2KQHQB4P5JN4SMLHW/bundle.json","state":"https://pith.science/pith/XIZKYHVJY2KQHQB4P5JN4SMLHW/state.json","well_known_bundle":"https://pith.science/.well-known/pith/XIZKYHVJY2KQHQB4P5JN4SMLHW/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:XIZKYHVJY2KQHQB4P5JN4SMLHW","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":"16e1da1b9dd4b59d7505ae16227fe4421e3da4063a8a16721a7be80fd05598d7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-23T17:59:50Z","title_canon_sha256":"554a9dc05dd15a099c26e44c2a9efc385efc960eb74b708cc20b49718a11323c"},"schema_version":"1.0","source":{"id":"2607.21592","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2607.21592","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"arxiv_version","alias_value":"2607.21592v1","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.21592","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"pith_short_12","alias_value":"XIZKYHVJY2KQ","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"pith_short_16","alias_value":"XIZKYHVJY2KQHQB4","created_at":"2026-07-24T01:24:41Z"},{"alias_kind":"pith_short_8","alias_value":"XIZKYHVJ","created_at":"2026-07-24T01:24:41Z"}],"graph_snapshots":[{"event_id":"sha256:4f8d5faa1b1303c7feb50b92a9c362d510ed8ef2c68b61eeda9409412667ed37","target":"graph","created_at":"2026-07-24T01:24:41Z","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/2607.21592/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Scene understanding requires simultaneous prediction about geometry, appearance, and semantics. However, existing task-specific annotations are fragmented across incompatible, domain-specific datasets. Current unified systems circumvent this by restricting training to fully co-annotated data, or by incurring the large computational cost of pseudo-labeling. To mitigate this, we introduce UniD, a unified video model that jointly predicts eight dense scene properties-depth, surface normals, semantic segmentation, boundaries, human parts, albedo, shading, and materials-all learned from disjoint, d","authors_text":"Bharath Hariharan, Jiahui Huang, Joon-Young Lee, Seoung Wug Oh, Yihong Sun","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-23T17:59:50Z","title":"Unified Video Dense Prediction from Disjoint Data"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.21592","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":"sha256:4c5957ff5e41d03889fcf07956e156c73f0c4d25d5f471b94bf97dad0e3e6a6d","target":"record","created_at":"2026-07-24T01:24:41Z","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":"16e1da1b9dd4b59d7505ae16227fe4421e3da4063a8a16721a7be80fd05598d7","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-23T17:59:50Z","title_canon_sha256":"554a9dc05dd15a099c26e44c2a9efc385efc960eb74b708cc20b49718a11323c"},"schema_version":"1.0","source":{"id":"2607.21592","kind":"arxiv","version":1}},"canonical_sha256":"ba32ac1ea9c69503c03c7f52de498b3d9b20f6007fa315ee92560edd6c9aa4c5","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ba32ac1ea9c69503c03c7f52de498b3d9b20f6007fa315ee92560edd6c9aa4c5","first_computed_at":"2026-07-24T01:24:41.890915Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-24T01:24:41.890915Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"QlUPgaeCLZDZ0vwjK3LYWqz/SKkCvvCiKrAFtBZvzD8K3PWETnEOXAjTTZI6mK8xgKKleYgmpZgIm8gMJIKcCA==","signature_status":"signed_v1","signed_at":"2026-07-24T01:24:41.891769Z","signed_message":"canonical_sha256_bytes"},"source_id":"2607.21592","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4c5957ff5e41d03889fcf07956e156c73f0c4d25d5f471b94bf97dad0e3e6a6d","sha256:4f8d5faa1b1303c7feb50b92a9c362d510ed8ef2c68b61eeda9409412667ed37"],"state_sha256":"916e7fcd7c6a02289e3920dba3298dcb6714500867ea5ec6131f59a4a555f78d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"31Y5WutMboGrW8l6QE9gN7RJ2xobsfEV3xnIUyEzAFjbrIpN6ivN/MLh2FskZWV+fESLFzwoBmUarEsJ9LWhBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-11T02:19:34.968899Z","bundle_sha256":"d88bdb88a7e3269532acca7786bd878b4b5122fc848e4bb1a2086c3da35046f9"}}