{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:XJ7Q7LGNMUMOUS5XDDQFVFHZMJ","short_pith_number":"pith:XJ7Q7LGN","schema_version":"1.0","canonical_sha256":"ba7f0faccd6518ea4bb718e05a94f96259d2d73eb81ca600c0c2a0cd634e0a75","source":{"kind":"arxiv","id":"2607.27194","version":1},"attestation_state":"computed","paper":{"title":"VidMap: Exploiting Temporal Structure for Video-Based Structure-from-Motion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Marc Pollefeys, Paul-Edouard Sarlin, Zador Pataki","submitted_at":"2026-07-29T17:58:04Z","abstract_excerpt":"Accurately recovering the camera's calibration and metric poses for any unconstrained video would unlock large-scale training data for navigation and scene understanding. The dominant approaches to this problem are severely limited: Simultaneous Localization and Mapping (SLAM) is sensitive to initialization and transient failures due to its causal, incremental nature; it is often over-optimized for real-time operation and generally requires known camera calibration; while Structure-from-Motion (SfM) typically forgoes any image ordering, enabling optimal initialization and global optimization, "},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2607.27194","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2026-07-29T17:58:04Z","cross_cats_sorted":["cs.RO"],"title_canon_sha256":"6304ccb82dfe067d5751b0b8273fc4a0e5b4d1a1be4f38bdce7c819bf28c25f5","abstract_canon_sha256":"2bde8058008a645bf732a98cd002ddb8ee1ad0f36a9fe957fe8fe7bbf7b99e0a"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"ba7f0faccd6518ea4bb718e05a94f96259d2d73eb81ca600c0c2a0cd634e0a75","last_reissued_at":"2026-07-30T01:24:05.460870Z","signature_status":"unsigned_v0","first_computed_at":"2026-07-30T01:24:05.460870Z"},"graph_snapshot":{"paper":{"title":"VidMap: Exploiting Temporal Structure for Video-Based Structure-from-Motion","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.RO"],"primary_cat":"cs.CV","authors_text":"Marc Pollefeys, Paul-Edouard Sarlin, Zador Pataki","submitted_at":"2026-07-29T17:58:04Z","abstract_excerpt":"Accurately recovering the camera's calibration and metric poses for any unconstrained video would unlock large-scale training data for navigation and scene understanding. The dominant approaches to this problem are severely limited: Simultaneous Localization and Mapping (SLAM) is sensitive to initialization and transient failures due to its causal, incremental nature; it is often over-optimized for real-time operation and generally requires known camera calibration; while Structure-from-Motion (SfM) typically forgoes any image ordering, enabling optimal initialization and global optimization, "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.27194","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/2607.27194/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2607.27194","created_at":"2026-07-30T01:24:05.467443+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.27194v1","created_at":"2026-07-30T01:24:05.467443+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.27194","created_at":"2026-07-30T01:24:05.467443+00:00"},{"alias_kind":"pith_short_12","alias_value":"XJ7Q7LGNMUMO","created_at":"2026-07-30T01:24:05.467443+00:00"},{"alias_kind":"pith_short_16","alias_value":"XJ7Q7LGNMUMOUS5X","created_at":"2026-07-30T01:24:05.467443+00:00"},{"alias_kind":"pith_short_8","alias_value":"XJ7Q7LGN","created_at":"2026-07-30T01:24:05.467443+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/XJ7Q7LGNMUMOUS5XDDQFVFHZMJ","json":"https://pith.science/pith/XJ7Q7LGNMUMOUS5XDDQFVFHZMJ.json","graph_json":"https://pith.science/api/pith-number/XJ7Q7LGNMUMOUS5XDDQFVFHZMJ/graph.json","events_json":"https://pith.science/api/pith-number/XJ7Q7LGNMUMOUS5XDDQFVFHZMJ/events.json","paper":"https://pith.science/paper/XJ7Q7LGN"},"agent_actions":{"view_html":"https://pith.science/pith/XJ7Q7LGNMUMOUS5XDDQFVFHZMJ","download_json":"https://pith.science/pith/XJ7Q7LGNMUMOUS5XDDQFVFHZMJ.json","view_paper":"https://pith.science/paper/XJ7Q7LGN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.27194&json=true","fetch_graph":"https://pith.science/api/pith-number/XJ7Q7LGNMUMOUS5XDDQFVFHZMJ/graph.json","fetch_events":"https://pith.science/api/pith-number/XJ7Q7LGNMUMOUS5XDDQFVFHZMJ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/XJ7Q7LGNMUMOUS5XDDQFVFHZMJ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/XJ7Q7LGNMUMOUS5XDDQFVFHZMJ/action/storage_attestation","attest_author":"https://pith.science/pith/XJ7Q7LGNMUMOUS5XDDQFVFHZMJ/action/author_attestation","sign_citation":"https://pith.science/pith/XJ7Q7LGNMUMOUS5XDDQFVFHZMJ/action/citation_signature","submit_replication":"https://pith.science/pith/XJ7Q7LGNMUMOUS5XDDQFVFHZMJ/action/replication_record"}},"created_at":"2026-07-30T01:24:05.467443+00:00","updated_at":"2026-07-30T01:24:05.467443+00:00"}