{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:4FHQCQVXRHV6GWZEGE4CY2FB5D","short_pith_number":"pith:4FHQCQVX","canonical_record":{"source":{"id":"2404.07097","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-10T15:37:00Z","cross_cats_sorted":[],"title_canon_sha256":"a3341f4386bdf09b0ea5a8a001dcf39ec74435958c731b64ae2c3a051d96515e","abstract_canon_sha256":"a6773929af9f6c49a18618c34697bee38784a0f2e34d0450c28fcbe4c746d455"},"schema_version":"1.0"},"canonical_sha256":"e14f0142b789ebe35b2431382c68a1e8c95e02e8352062c1dcce28e05958994a","source":{"kind":"arxiv","id":"2404.07097","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.07097","created_at":"2026-07-05T08:37:19Z"},{"alias_kind":"arxiv_version","alias_value":"2404.07097v2","created_at":"2026-07-05T08:37:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.07097","created_at":"2026-07-05T08:37:19Z"},{"alias_kind":"pith_short_12","alias_value":"4FHQCQVXRHV6","created_at":"2026-07-05T08:37:19Z"},{"alias_kind":"pith_short_16","alias_value":"4FHQCQVXRHV6GWZE","created_at":"2026-07-05T08:37:19Z"},{"alias_kind":"pith_short_8","alias_value":"4FHQCQVX","created_at":"2026-07-05T08:37:19Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:4FHQCQVXRHV6GWZEGE4CY2FB5D","target":"record","payload":{"canonical_record":{"source":{"id":"2404.07097","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-10T15:37:00Z","cross_cats_sorted":[],"title_canon_sha256":"a3341f4386bdf09b0ea5a8a001dcf39ec74435958c731b64ae2c3a051d96515e","abstract_canon_sha256":"a6773929af9f6c49a18618c34697bee38784a0f2e34d0450c28fcbe4c746d455"},"schema_version":"1.0"},"canonical_sha256":"e14f0142b789ebe35b2431382c68a1e8c95e02e8352062c1dcce28e05958994a","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:37:19.352399Z","signature_b64":"VbyULEghg+3YDk6FsHIlgYrvTD/HlyAApDMA0dCRWTXplnLEv/bpt5Gt9BM4ZycVMU0P6Cw37mTPqqAL39+ACA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e14f0142b789ebe35b2431382c68a1e8c95e02e8352062c1dcce28e05958994a","last_reissued_at":"2026-07-05T08:37:19.351883Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:37:19.351883Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2404.07097","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T08:37:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3ntxNxPcfz5dKSkDHLvh6Dmt5kBANl46qCaxh3kcshOs1AjNAMNh9GwJiEaIi5+vBpOqVfRK2QHzkpnCjvG0BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T17:36:48.649521Z"},"content_sha256":"6a3eb24f11c3ee0e824bb9adf1dac5f9221cfb42b61adac649c8c2e6fa30ec2b","schema_version":"1.0","event_id":"sha256:6a3eb24f11c3ee0e824bb9adf1dac5f9221cfb42b61adac649c8c2e6fa30ec2b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:4FHQCQVXRHV6GWZEGE4CY2FB5D","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Fast Encoder-Based 3D from Casual Videos via Point Track Processing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haggai Maron, Wuyue Lu, Yoni Kasten","submitted_at":"2024-04-10T15:37:00Z","abstract_excerpt":"This paper addresses the long-standing challenge of reconstructing 3D structures from videos with dynamic content. Current approaches to this problem were not designed to operate on casual videos recorded by standard cameras or require a long optimization time.\n  Aiming to significantly improve the efficiency of previous approaches, we present TracksTo4D, a learning-based approach that enables inferring 3D structure and camera positions from dynamic content originating from casual videos using a single efficient feed-forward pass. To achieve this, we propose operating directly over 2D point tr"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.07097","kind":"arxiv","version":2},"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/2404.07097/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":"2026-07-05T08:37:19Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZDKNOjCwWxaRyQsISX+NyrXUvjbJjkxJEPyIpO9qQ+HP7Mu7M8OVc1JkjPaBPCZ+8+SBBUlR4DERPO8Z0zKoCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-19T17:36:48.650034Z"},"content_sha256":"bb2a0f7c9d56b2c9aecd19fc0d03c7f426390d84821612942342f19890c5e416","schema_version":"1.0","event_id":"sha256:bb2a0f7c9d56b2c9aecd19fc0d03c7f426390d84821612942342f19890c5e416"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4FHQCQVXRHV6GWZEGE4CY2FB5D/bundle.json","state_url":"https://pith.science/pith/4FHQCQVXRHV6GWZEGE4CY2FB5D/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4FHQCQVXRHV6GWZEGE4CY2FB5D/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":"2026-08-19T17:36:48Z","links":{"resolver":"https://pith.science/pith/4FHQCQVXRHV6GWZEGE4CY2FB5D","bundle":"https://pith.science/pith/4FHQCQVXRHV6GWZEGE4CY2FB5D/bundle.json","state":"https://pith.science/pith/4FHQCQVXRHV6GWZEGE4CY2FB5D/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4FHQCQVXRHV6GWZEGE4CY2FB5D/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:4FHQCQVXRHV6GWZEGE4CY2FB5D","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":"a6773929af9f6c49a18618c34697bee38784a0f2e34d0450c28fcbe4c746d455","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-10T15:37:00Z","title_canon_sha256":"a3341f4386bdf09b0ea5a8a001dcf39ec74435958c731b64ae2c3a051d96515e"},"schema_version":"1.0","source":{"id":"2404.07097","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2404.07097","created_at":"2026-07-05T08:37:19Z"},{"alias_kind":"arxiv_version","alias_value":"2404.07097v2","created_at":"2026-07-05T08:37:19Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.07097","created_at":"2026-07-05T08:37:19Z"},{"alias_kind":"pith_short_12","alias_value":"4FHQCQVXRHV6","created_at":"2026-07-05T08:37:19Z"},{"alias_kind":"pith_short_16","alias_value":"4FHQCQVXRHV6GWZE","created_at":"2026-07-05T08:37:19Z"},{"alias_kind":"pith_short_8","alias_value":"4FHQCQVX","created_at":"2026-07-05T08:37:19Z"}],"graph_snapshots":[{"event_id":"sha256:bb2a0f7c9d56b2c9aecd19fc0d03c7f426390d84821612942342f19890c5e416","target":"graph","created_at":"2026-07-05T08:37:19Z","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/2404.07097/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper addresses the long-standing challenge of reconstructing 3D structures from videos with dynamic content. Current approaches to this problem were not designed to operate on casual videos recorded by standard cameras or require a long optimization time.\n  Aiming to significantly improve the efficiency of previous approaches, we present TracksTo4D, a learning-based approach that enables inferring 3D structure and camera positions from dynamic content originating from casual videos using a single efficient feed-forward pass. To achieve this, we propose operating directly over 2D point tr","authors_text":"Haggai Maron, Wuyue Lu, Yoni Kasten","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-10T15:37:00Z","title":"Fast Encoder-Based 3D from Casual Videos via Point Track Processing"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.07097","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":"sha256:6a3eb24f11c3ee0e824bb9adf1dac5f9221cfb42b61adac649c8c2e6fa30ec2b","target":"record","created_at":"2026-07-05T08:37:19Z","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":"a6773929af9f6c49a18618c34697bee38784a0f2e34d0450c28fcbe4c746d455","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2024-04-10T15:37:00Z","title_canon_sha256":"a3341f4386bdf09b0ea5a8a001dcf39ec74435958c731b64ae2c3a051d96515e"},"schema_version":"1.0","source":{"id":"2404.07097","kind":"arxiv","version":2}},"canonical_sha256":"e14f0142b789ebe35b2431382c68a1e8c95e02e8352062c1dcce28e05958994a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e14f0142b789ebe35b2431382c68a1e8c95e02e8352062c1dcce28e05958994a","first_computed_at":"2026-07-05T08:37:19.351883Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:37:19.351883Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VbyULEghg+3YDk6FsHIlgYrvTD/HlyAApDMA0dCRWTXplnLEv/bpt5Gt9BM4ZycVMU0P6Cw37mTPqqAL39+ACA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:37:19.352399Z","signed_message":"canonical_sha256_bytes"},"source_id":"2404.07097","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:6a3eb24f11c3ee0e824bb9adf1dac5f9221cfb42b61adac649c8c2e6fa30ec2b","sha256:bb2a0f7c9d56b2c9aecd19fc0d03c7f426390d84821612942342f19890c5e416"],"state_sha256":"9514ae9396d55b527f7c104a2f32e7abb57d36ed42ce239a63b622ea9821a8fd"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"YGggREFpkqLFiIURAXiFzW+cQJLZ0Rft/JH46+zVFGNiLWSJ0l+PNzOa+Bj0pRdl5sc40i/7JLwCTIsc1bzODw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-19T17:36:48.655737Z","bundle_sha256":"d6e7482fea7e9caa18ae423ca17b3ebc46755e72369d2997fbeb2e3fcbccc2f3"}}