{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:VZSWUM3JK5OWJPMSMFTY34TF5R","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":"b91dccf20ce7ca3daaf4067cc7031112104cbeea3a8b365e25d3d7207b15f196","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-20T13:01:16Z","title_canon_sha256":"bd6f205448c7a9824b36729f4329539d49481c509e79ff00b69631e02d3ee2ee"},"schema_version":"1.0","source":{"id":"2411.13291","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2411.13291","created_at":"2026-07-05T09:38:08Z"},{"alias_kind":"arxiv_version","alias_value":"2411.13291v1","created_at":"2026-07-05T09:38:08Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2411.13291","created_at":"2026-07-05T09:38:08Z"},{"alias_kind":"pith_short_12","alias_value":"VZSWUM3JK5OW","created_at":"2026-07-05T09:38:08Z"},{"alias_kind":"pith_short_16","alias_value":"VZSWUM3JK5OWJPMS","created_at":"2026-07-05T09:38:08Z"},{"alias_kind":"pith_short_8","alias_value":"VZSWUM3J","created_at":"2026-07-05T09:38:08Z"}],"graph_snapshots":[{"event_id":"sha256:fee6a1e86e92680ea6a2ddacc15a301809d62184110c1ac0455e270e895c1d3e","target":"graph","created_at":"2026-07-05T09:38:08Z","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/2411.13291/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This paper proposes a concise, elegant, and robust pipeline to estimate smooth camera trajectories and obtain dense point clouds for casual videos in the wild. Traditional frameworks, such as ParticleSfM~\\cite{zhao2022particlesfm}, address this problem by sequentially computing the optical flow between adjacent frames to obtain point trajectories. They then remove dynamic trajectories through motion segmentation and perform global bundle adjustment. However, the process of estimating optical flow between two adjacent frames and chaining the matches can introduce cumulative errors. Additionally","authors_text":"Di Huang, Guofeng Zhang, Haoyi Zhu, Hujun Bao, Ruohao Zhan, Tong He, Wanli Ouyang, Weicai Ye, Xiaoshui Huang, Xinyu Chen","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-20T13:01:16Z","title":"DATAP-SfM: Dynamic-Aware Tracking Any Point for Robust Structure from Motion in the Wild"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2411.13291","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":"sha256:2210b620842da20ee69439b1a77f3d9c5d0b71594d7890b73d40f518ca402359","target":"record","created_at":"2026-07-05T09:38:08Z","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":"b91dccf20ce7ca3daaf4067cc7031112104cbeea3a8b365e25d3d7207b15f196","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-11-20T13:01:16Z","title_canon_sha256":"bd6f205448c7a9824b36729f4329539d49481c509e79ff00b69631e02d3ee2ee"},"schema_version":"1.0","source":{"id":"2411.13291","kind":"arxiv","version":1}},"canonical_sha256":"ae656a3369575d64bd9261678df265ec5ea41b85a38e4f9239dc3e49927370cd","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"ae656a3369575d64bd9261678df265ec5ea41b85a38e4f9239dc3e49927370cd","first_computed_at":"2026-07-05T09:38:08.131391Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T09:38:08.131391Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2m2dblkx1I4V9myP9JZg9qlwSluTDSTvdF94WReTOSFCjTzeA2TFunNRBHLaIyoTFITyGJU6SkWxkZmetICdAA==","signature_status":"signed_v1","signed_at":"2026-07-05T09:38:08.131857Z","signed_message":"canonical_sha256_bytes"},"source_id":"2411.13291","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:2210b620842da20ee69439b1a77f3d9c5d0b71594d7890b73d40f518ca402359","sha256:fee6a1e86e92680ea6a2ddacc15a301809d62184110c1ac0455e270e895c1d3e"],"state_sha256":"8a360d17f785215971bf4360a6718c0be8ee0965383bca8120dba888c8c78ff3"}