{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2026:373F4LET233HOGPRTUYJGEO6HF","short_pith_number":"pith:373F4LET","canonical_record":{"source":{"id":"2606.20455","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-18T16:38:35Z","cross_cats_sorted":[],"title_canon_sha256":"f0f4df895a5c9a55d450325d2ed72e90def51e270b0eada234449f3804cc8b88","abstract_canon_sha256":"f07e05117aa97fb2cf4bc35de9d6f771ff3224f7eb6eaecdd18ffcf1ddd699f8"},"schema_version":"1.0"},"canonical_sha256":"dff65e2c93d6f67719f19d309311de396161a0e9759719139025cbc627b34bcb","source":{"kind":"arxiv","id":"2606.20455","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20455","created_at":"2026-06-19T16:13:12Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20455v1","created_at":"2026-06-19T16:13:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20455","created_at":"2026-06-19T16:13:12Z"},{"alias_kind":"pith_short_12","alias_value":"373F4LET233H","created_at":"2026-06-19T16:13:12Z"},{"alias_kind":"pith_short_16","alias_value":"373F4LET233HOGPR","created_at":"2026-06-19T16:13:12Z"},{"alias_kind":"pith_short_8","alias_value":"373F4LET","created_at":"2026-06-19T16:13:12Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2026:373F4LET233HOGPRTUYJGEO6HF","target":"record","payload":{"canonical_record":{"source":{"id":"2606.20455","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-18T16:38:35Z","cross_cats_sorted":[],"title_canon_sha256":"f0f4df895a5c9a55d450325d2ed72e90def51e270b0eada234449f3804cc8b88","abstract_canon_sha256":"f07e05117aa97fb2cf4bc35de9d6f771ff3224f7eb6eaecdd18ffcf1ddd699f8"},"schema_version":"1.0"},"canonical_sha256":"dff65e2c93d6f67719f19d309311de396161a0e9759719139025cbc627b34bcb","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-06-19T16:13:12.820274Z","signature_b64":"w2osE/k8o8wdl1zPELx5w+tKqziiP59mz/4pixkMnleZu3ahS8c5IFwTvA/NFRFNw4rhIwYuIa3Effxy0N1bBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dff65e2c93d6f67719f19d309311de396161a0e9759719139025cbc627b34bcb","last_reissued_at":"2026-06-19T16:13:12.819794Z","signature_status":"signed_v1","first_computed_at":"2026-06-19T16:13:12.819794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2606.20455","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-19T16:13:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ubz48Izyk+n5N6FbItm+/iqQn5w60WiiQmTMKmfIoYEoATNfnib1sAwuSqZDy4xCnUTDgj0zbqYaKTsppSqgCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T00:04:53.596745Z"},"content_sha256":"1a7804ce939706e0de82ea0179483bf4764894e1987385f27e6f235871d632bd","schema_version":"1.0","event_id":"sha256:1a7804ce939706e0de82ea0179483bf4764894e1987385f27e6f235871d632bd"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2026:373F4LET233HOGPRTUYJGEO6HF","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"PCFootprint: A Large-Scale Dataset and Benchmark for Vectorized Building Footprint Extraction from Aerial LiDAR Point Clouds","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Haoyuan Shen, Kuihao Wang, Ruisheng Wang, Yujun Liu","submitted_at":"2026-06-18T16:38:35Z","abstract_excerpt":"Building footprint extraction is a fundamental task in photogrammetry, remote sensing, and computer vision. Recent image-based methods have achieved remarkable progress in extracting vectorized footprints from high-resolution optical imagery. However, optical imagery inherently susceptible to occlusions, perspective distortions, and residual relief displacement, yielding incomplete or misaligned footprint extraction. Furthermore, the lack of explicit elevation information limits its direct applicability to Level of Detail building modeling. In this paper, we present PCFootprint, the first larg"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20455","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/2606.20455/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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-06-19T16:13:12Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dm5TADzvi6n+rKFzQZOukM7ZUoXcisVpvsUpVeSiPg0RyPs7EUcBP+D/nBeg33p8B0wAF2CGQxoUYhJwiN6MAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-05T00:04:53.597109Z"},"content_sha256":"a8bcc98c196733888cd9627203b4fc964d93a9c05a9ec2a216e39cdc6c09d040","schema_version":"1.0","event_id":"sha256:a8bcc98c196733888cd9627203b4fc964d93a9c05a9ec2a216e39cdc6c09d040"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/373F4LET233HOGPRTUYJGEO6HF/bundle.json","state_url":"https://pith.science/pith/373F4LET233HOGPRTUYJGEO6HF/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/373F4LET233HOGPRTUYJGEO6HF/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-07-05T00:04:53Z","links":{"resolver":"https://pith.science/pith/373F4LET233HOGPRTUYJGEO6HF","bundle":"https://pith.science/pith/373F4LET233HOGPRTUYJGEO6HF/bundle.json","state":"https://pith.science/pith/373F4LET233HOGPRTUYJGEO6HF/state.json","well_known_bundle":"https://pith.science/.well-known/pith/373F4LET233HOGPRTUYJGEO6HF/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2026:373F4LET233HOGPRTUYJGEO6HF","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":"f07e05117aa97fb2cf4bc35de9d6f771ff3224f7eb6eaecdd18ffcf1ddd699f8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-18T16:38:35Z","title_canon_sha256":"f0f4df895a5c9a55d450325d2ed72e90def51e270b0eada234449f3804cc8b88"},"schema_version":"1.0","source":{"id":"2606.20455","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2606.20455","created_at":"2026-06-19T16:13:12Z"},{"alias_kind":"arxiv_version","alias_value":"2606.20455v1","created_at":"2026-06-19T16:13:12Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2606.20455","created_at":"2026-06-19T16:13:12Z"},{"alias_kind":"pith_short_12","alias_value":"373F4LET233H","created_at":"2026-06-19T16:13:12Z"},{"alias_kind":"pith_short_16","alias_value":"373F4LET233HOGPR","created_at":"2026-06-19T16:13:12Z"},{"alias_kind":"pith_short_8","alias_value":"373F4LET","created_at":"2026-06-19T16:13:12Z"}],"graph_snapshots":[{"event_id":"sha256:a8bcc98c196733888cd9627203b4fc964d93a9c05a9ec2a216e39cdc6c09d040","target":"graph","created_at":"2026-06-19T16:13:12Z","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/2606.20455/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Building footprint extraction is a fundamental task in photogrammetry, remote sensing, and computer vision. Recent image-based methods have achieved remarkable progress in extracting vectorized footprints from high-resolution optical imagery. However, optical imagery inherently susceptible to occlusions, perspective distortions, and residual relief displacement, yielding incomplete or misaligned footprint extraction. Furthermore, the lack of explicit elevation information limits its direct applicability to Level of Detail building modeling. In this paper, we present PCFootprint, the first larg","authors_text":"Haoyuan Shen, Kuihao Wang, Ruisheng Wang, Yujun Liu","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-18T16:38:35Z","title":"PCFootprint: A Large-Scale Dataset and Benchmark for Vectorized Building Footprint Extraction from Aerial LiDAR Point Clouds"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2606.20455","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":"sha256:1a7804ce939706e0de82ea0179483bf4764894e1987385f27e6f235871d632bd","target":"record","created_at":"2026-06-19T16:13:12Z","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":"f07e05117aa97fb2cf4bc35de9d6f771ff3224f7eb6eaecdd18ffcf1ddd699f8","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2026-06-18T16:38:35Z","title_canon_sha256":"f0f4df895a5c9a55d450325d2ed72e90def51e270b0eada234449f3804cc8b88"},"schema_version":"1.0","source":{"id":"2606.20455","kind":"arxiv","version":1}},"canonical_sha256":"dff65e2c93d6f67719f19d309311de396161a0e9759719139025cbc627b34bcb","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dff65e2c93d6f67719f19d309311de396161a0e9759719139025cbc627b34bcb","first_computed_at":"2026-06-19T16:13:12.819794Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-06-19T16:13:12.819794Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"w2osE/k8o8wdl1zPELx5w+tKqziiP59mz/4pixkMnleZu3ahS8c5IFwTvA/NFRFNw4rhIwYuIa3Effxy0N1bBg==","signature_status":"signed_v1","signed_at":"2026-06-19T16:13:12.820274Z","signed_message":"canonical_sha256_bytes"},"source_id":"2606.20455","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1a7804ce939706e0de82ea0179483bf4764894e1987385f27e6f235871d632bd","sha256:a8bcc98c196733888cd9627203b4fc964d93a9c05a9ec2a216e39cdc6c09d040"],"state_sha256":"be24a78134b6b23c4e5eda5e3239c763b2efe532eae8611e9868a47fd2c40319"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"wiG7OXoFJeaYULjrXE/O8WMSB+y5ByrPtn19e95tclfiIbrdvRNhl8juKZKn69HsX1r1E3jB1UsIDc1MPdn3AA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-05T00:04:53.599138Z","bundle_sha256":"d48be431889f2a34543c670c65512d74c3fb8301357f3078e400123d28625ac9"}}