{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:QK6Y3DMNCLLYWWFJYH7POHWMMP","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":"af3a4f2b8e06d2e2ea46c4d1e671ae7849f23fd810162bb410242d47dae5d43e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-24T06:39:32Z","title_canon_sha256":"6a2c8276d30929137c29da3e0ca26b7f5ab4735e2b88d3c4a6480c94c21566be"},"schema_version":"1.0","source":{"id":"2210.12971","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.12971","created_at":"2026-07-05T06:48:03Z"},{"alias_kind":"arxiv_version","alias_value":"2210.12971v2","created_at":"2026-07-05T06:48:03Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.12971","created_at":"2026-07-05T06:48:03Z"},{"alias_kind":"pith_short_12","alias_value":"QK6Y3DMNCLLY","created_at":"2026-07-05T06:48:03Z"},{"alias_kind":"pith_short_16","alias_value":"QK6Y3DMNCLLYWWFJ","created_at":"2026-07-05T06:48:03Z"},{"alias_kind":"pith_short_8","alias_value":"QK6Y3DMN","created_at":"2026-07-05T06:48:03Z"}],"graph_snapshots":[{"event_id":"sha256:5b7c6a6870c635715c64505a3b7735144840cc93133a67a216bdbe4856f7f28f","target":"graph","created_at":"2026-07-05T06:48:03Z","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/2210.12971/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"This article presents Holistically-Attracted Wireframe Parsing (HAWP), a method for geometric analysis of 2D images containing wireframes formed by line segments and junctions. HAWP utilizes a parsimonious Holistic Attraction (HAT) field representation that encodes line segments using a closed-form 4D geometric vector field. The proposed HAWP consists of three sequential components empowered by end-to-end and HAT-driven designs: (1) generating a dense set of line segments from HAT fields and endpoint proposals from heatmaps, (2) binding the dense line segments to sparse endpoint proposals to p","authors_text":"Fu-Dong Wang, Gui-Song Xia, Liangpei Zhang, Nan Xue, Philip H.S. Torr, Song Bai, Tianfu Wu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-24T06:39:32Z","title":"Holistically-Attracted Wireframe Parsing: From Supervised to Self-Supervised Learning"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.12971","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":"sha256:7a425e86346cd4d4defc0125e1a3fba8e6d8cb85dafedf946562790075628fc6","target":"record","created_at":"2026-07-05T06:48:03Z","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":"af3a4f2b8e06d2e2ea46c4d1e671ae7849f23fd810162bb410242d47dae5d43e","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2022-10-24T06:39:32Z","title_canon_sha256":"6a2c8276d30929137c29da3e0ca26b7f5ab4735e2b88d3c4a6480c94c21566be"},"schema_version":"1.0","source":{"id":"2210.12971","kind":"arxiv","version":2}},"canonical_sha256":"82bd8d8d8d12d78b58a9c1fef71ecc63f873f289594fd0f7047e0beff719723a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"82bd8d8d8d12d78b58a9c1fef71ecc63f873f289594fd0f7047e0beff719723a","first_computed_at":"2026-07-05T06:48:03.712680Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:48:03.712680Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"nj9JMu6bplKj5ftZSqIBLL3woeDU85fzG6ksgeJhHjAdQOWKtRdJHVLH9qo6DkOA+vCY7BkVNi7Jttf4yDFiCg==","signature_status":"signed_v1","signed_at":"2026-07-05T06:48:03.713089Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.12971","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:7a425e86346cd4d4defc0125e1a3fba8e6d8cb85dafedf946562790075628fc6","sha256:5b7c6a6870c635715c64505a3b7735144840cc93133a67a216bdbe4856f7f28f"],"state_sha256":"009bfaf2f3c435816b7e6eb0566d9b61b49286f427d5f829c6e3881d86912e9e"}