{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:KIJTDYK4RF2UEVXQ2PRWAFZ3PZ","short_pith_number":"pith:KIJTDYK4","schema_version":"1.0","canonical_sha256":"521331e15c89754256f0d3e360173b7e474c67a63b80c1f3c002d722f01e4322","source":{"kind":"arxiv","id":"2607.09507","version":1},"attestation_state":"computed","paper":{"title":"DGSfM: Depth-Guided Scale-Aware Global Structure-from-Motion","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Sithu Aung, Torsten Sattler, Viktor Kocur, Yaqing Ding, Zuzana Kukelova","submitted_at":"2026-07-10T15:18:37Z","abstract_excerpt":"Global Structure-from-Motion (SfM) is an efficient paradigm for recovering camera poses and sparse 3D structure from unordered images. However, its reliance on scale-ambiguous epipolar geometry makes global positioning sensitive to noisy baseline estimates and weak view-graph constraints, while false edges from visually ambiguous pairs can further degrade reconstruction. We propose DGSfM, a depth-aware global SfM pipeline that uses monocular depth maps as a scalable prior while preserving explicit multi-view optimization. For each image pair, we use a depth-aware relative pose solver to conver"},"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":"2607.09507","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2026-07-10T15:18:37Z","cross_cats_sorted":[],"title_canon_sha256":"fe9f17ce5c17c84e881b7946bb0d41d4fc264dec30bc967f8600d0b4588d2340","abstract_canon_sha256":"06511edbdf7ad31f8d9c4ced4d7562f2f6c62ded6434a7a9da02dbb7f8f2158d"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-13T01:20:14.661970Z","signature_b64":"Y7kPWRP4c5oq5jC0VphzPKEHPr7t2t8Rfu62WRJsVnLr9u7gNunOZQ3Oavio3VHKpv9qgz95r0shiRJYGmZZAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"521331e15c89754256f0d3e360173b7e474c67a63b80c1f3c002d722f01e4322","last_reissued_at":"2026-07-13T01:20:14.660777Z","signature_status":"signed_v1","first_computed_at":"2026-07-13T01:20:14.660777Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"DGSfM: Depth-Guided Scale-Aware Global Structure-from-Motion","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Sithu Aung, Torsten Sattler, Viktor Kocur, Yaqing Ding, Zuzana Kukelova","submitted_at":"2026-07-10T15:18:37Z","abstract_excerpt":"Global Structure-from-Motion (SfM) is an efficient paradigm for recovering camera poses and sparse 3D structure from unordered images. However, its reliance on scale-ambiguous epipolar geometry makes global positioning sensitive to noisy baseline estimates and weak view-graph constraints, while false edges from visually ambiguous pairs can further degrade reconstruction. We propose DGSfM, a depth-aware global SfM pipeline that uses monocular depth maps as a scalable prior while preserving explicit multi-view optimization. For each image pair, we use a depth-aware relative pose solver to conver"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.09507","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/2607.09507/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":"2607.09507","created_at":"2026-07-13T01:20:14.661397+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.09507v1","created_at":"2026-07-13T01:20:14.661397+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.09507","created_at":"2026-07-13T01:20:14.661397+00:00"},{"alias_kind":"pith_short_12","alias_value":"KIJTDYK4RF2U","created_at":"2026-07-13T01:20:14.661397+00:00"},{"alias_kind":"pith_short_16","alias_value":"KIJTDYK4RF2UEVXQ","created_at":"2026-07-13T01:20:14.661397+00:00"},{"alias_kind":"pith_short_8","alias_value":"KIJTDYK4","created_at":"2026-07-13T01:20:14.661397+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/KIJTDYK4RF2UEVXQ2PRWAFZ3PZ","json":"https://pith.science/pith/KIJTDYK4RF2UEVXQ2PRWAFZ3PZ.json","graph_json":"https://pith.science/api/pith-number/KIJTDYK4RF2UEVXQ2PRWAFZ3PZ/graph.json","events_json":"https://pith.science/api/pith-number/KIJTDYK4RF2UEVXQ2PRWAFZ3PZ/events.json","paper":"https://pith.science/paper/KIJTDYK4"},"agent_actions":{"view_html":"https://pith.science/pith/KIJTDYK4RF2UEVXQ2PRWAFZ3PZ","download_json":"https://pith.science/pith/KIJTDYK4RF2UEVXQ2PRWAFZ3PZ.json","view_paper":"https://pith.science/paper/KIJTDYK4","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.09507&json=true","fetch_graph":"https://pith.science/api/pith-number/KIJTDYK4RF2UEVXQ2PRWAFZ3PZ/graph.json","fetch_events":"https://pith.science/api/pith-number/KIJTDYK4RF2UEVXQ2PRWAFZ3PZ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KIJTDYK4RF2UEVXQ2PRWAFZ3PZ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KIJTDYK4RF2UEVXQ2PRWAFZ3PZ/action/storage_attestation","attest_author":"https://pith.science/pith/KIJTDYK4RF2UEVXQ2PRWAFZ3PZ/action/author_attestation","sign_citation":"https://pith.science/pith/KIJTDYK4RF2UEVXQ2PRWAFZ3PZ/action/citation_signature","submit_replication":"https://pith.science/pith/KIJTDYK4RF2UEVXQ2PRWAFZ3PZ/action/replication_record"}},"created_at":"2026-07-13T01:20:14.661397+00:00","updated_at":"2026-07-13T01:20:14.661397+00:00"}