{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:ZMNO53K4CYMAIRS7V53CFPZ3RU","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":"f03761a725206c48fec319d2e255131055f92ff03737c8f3736a5f266d7eb32d","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-08T02:09:11Z","title_canon_sha256":"3cd9cde1e27387cf9531492c17f01cb2537e24d4e634276f84da5b0f82d24693"},"schema_version":"1.0","source":{"id":"2102.04838","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2102.04838","created_at":"2026-07-05T02:14:05Z"},{"alias_kind":"arxiv_version","alias_value":"2102.04838v1","created_at":"2026-07-05T02:14:05Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2102.04838","created_at":"2026-07-05T02:14:05Z"},{"alias_kind":"pith_short_12","alias_value":"ZMNO53K4CYMA","created_at":"2026-07-05T02:14:05Z"},{"alias_kind":"pith_short_16","alias_value":"ZMNO53K4CYMAIRS7","created_at":"2026-07-05T02:14:05Z"},{"alias_kind":"pith_short_8","alias_value":"ZMNO53K4","created_at":"2026-07-05T02:14:05Z"}],"graph_snapshots":[{"event_id":"sha256:144daa82367489a4b4a800b16473ceee503b793a2ae8e0d7b4e313757b2125fd","target":"graph","created_at":"2026-07-05T02:14:05Z","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/2102.04838/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Mapping new and old buildings are of great significance for understanding socio-economic development in rural areas. In recent years, deep neural networks have achieved remarkable building segmentation results in high-resolution remote sensing images. However, the scarce training data and the varying geographical environments have posed challenges for scalable building segmentation. This study proposes a novel framework based on Mask R-CNN, named HTMask R-CNN, to extract new and old rural buildings even when the label is scarce. The framework adopts the result of single-object instance segment","authors_text":"Haohui Chen, Junhao Jiang, Weipan Xu, Xun Li, Ying Li","cross_cats":["eess.IV"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-08T02:09:11Z","title":"A Histogram Thresholding Improvement to Mask R-CNN for Scalable Segmentation of New and Old Rural Buildings"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2102.04838","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":"sha256:235789bfdc4ca153267e4e21768eed7a94ff598d0c4d669662509bb75b2e7be2","target":"record","created_at":"2026-07-05T02:14:05Z","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":"f03761a725206c48fec319d2e255131055f92ff03737c8f3736a5f266d7eb32d","cross_cats_sorted":["eess.IV"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2021-02-08T02:09:11Z","title_canon_sha256":"3cd9cde1e27387cf9531492c17f01cb2537e24d4e634276f84da5b0f82d24693"},"schema_version":"1.0","source":{"id":"2102.04838","kind":"arxiv","version":1}},"canonical_sha256":"cb1aeeed5c161804465faf7622bf3b8d3c8b13815a25f1b87ccd42acb373c41a","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cb1aeeed5c161804465faf7622bf3b8d3c8b13815a25f1b87ccd42acb373c41a","first_computed_at":"2026-07-05T02:14:05.281615Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T02:14:05.281615Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"mJK7m6eYvwAcBR+6RoEflWUf/SlQDQAhqzSyeSG2Ky4nJ2o9Jwf0ZZ4K2Pi/Dw6G9Op2rRrlqipNj/nLLiFFAA==","signature_status":"signed_v1","signed_at":"2026-07-05T02:14:05.282083Z","signed_message":"canonical_sha256_bytes"},"source_id":"2102.04838","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:235789bfdc4ca153267e4e21768eed7a94ff598d0c4d669662509bb75b2e7be2","sha256:144daa82367489a4b4a800b16473ceee503b793a2ae8e0d7b4e313757b2125fd"],"state_sha256":"0033cb219f8eb8c9c10fda4611209cdda72335c9c58cf06092944182ddf18760"}