{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:CW4OYWNL3MDAOFIB2RYEGDLHP3","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":"48b28ff15daabde933966055bd3c757aeef2a55e484e707d7df151b43bd25807","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-09T17:12:27Z","title_canon_sha256":"e9072f594121f295e47b84e3a5729d129ea46683ed2224f2f3f52a22d0226d7c"},"schema_version":"1.0","source":{"id":"2006.05407","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2006.05407","created_at":"2026-07-05T01:09:13Z"},{"alias_kind":"arxiv_version","alias_value":"2006.05407v1","created_at":"2026-07-05T01:09:13Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2006.05407","created_at":"2026-07-05T01:09:13Z"},{"alias_kind":"pith_short_12","alias_value":"CW4OYWNL3MDA","created_at":"2026-07-05T01:09:13Z"},{"alias_kind":"pith_short_16","alias_value":"CW4OYWNL3MDAOFIB","created_at":"2026-07-05T01:09:13Z"},{"alias_kind":"pith_short_8","alias_value":"CW4OYWNL","created_at":"2026-07-05T01:09:13Z"}],"graph_snapshots":[{"event_id":"sha256:4b7a72be46f8a33325bcd7e31d495eaa41d20b028fdcb596a478a488b6583685","target":"graph","created_at":"2026-07-05T01:09:13Z","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/2006.05407/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As an important part of linear perspective, vanishing points (VPs) provide useful clues for mapping objects from 2D photos to 3D space. Existing methods are mainly focused on extracting structural features such as lines or contours and then clustering these features to detect VPs. However, these techniques suffer from ambiguous information due to the large number of line segments and contours detected in outdoor environments. In this paper, we present a new convolutional neural network (CNN) to detect dominant VPs in natural scenes, i.e., the Dominant Vanishing Point detection Network (D-VPnet","authors_text":"Ming Zeng, Qing-Hao Meng, Yin-Bo Liu","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-09T17:12:27Z","title":"D-VPnet: A Network for Real-time Dominant Vanishing Point Detection in Natural Scenes"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2006.05407","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:d7c9baab6c69a23e4c731457af232c9a4eb7d33a34c5ca5ee0955d2f43307a2b","target":"record","created_at":"2026-07-05T01:09:13Z","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":"48b28ff15daabde933966055bd3c757aeef2a55e484e707d7df151b43bd25807","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-06-09T17:12:27Z","title_canon_sha256":"e9072f594121f295e47b84e3a5729d129ea46683ed2224f2f3f52a22d0226d7c"},"schema_version":"1.0","source":{"id":"2006.05407","kind":"arxiv","version":1}},"canonical_sha256":"15b8ec59abdb06071501d470430d677ecdb9e4e2592932415b2dfb5a3d5c3a42","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"15b8ec59abdb06071501d470430d677ecdb9e4e2592932415b2dfb5a3d5c3a42","first_computed_at":"2026-07-05T01:09:13.580961Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T01:09:13.580961Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"VEIRtmKLtk3WqP8pyvTeT7x5lZr8IE2mVC7ecgEAzMNXo9NgtUjNNl2t7srBpNh5KYviGoyiRpZtdfwE1gsyCA==","signature_status":"signed_v1","signed_at":"2026-07-05T01:09:13.581387Z","signed_message":"canonical_sha256_bytes"},"source_id":"2006.05407","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d7c9baab6c69a23e4c731457af232c9a4eb7d33a34c5ca5ee0955d2f43307a2b","sha256:4b7a72be46f8a33325bcd7e31d495eaa41d20b028fdcb596a478a488b6583685"],"state_sha256":"29d62ba0a22bb7830b4eda2574d1fe61f83c7df1907821df13bc93d70328bd5d"}