{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2021:NU42PWV7PE3375YZI4SJOUG2DN","short_pith_number":"pith:NU42PWV7","canonical_record":{"source":{"id":"2103.09300","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-16T20:03:50Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"7a9417257dc375ef612ac1c5dd80653ba39e1af13defeeaefba03cb733c76d5f","abstract_canon_sha256":"57b551b4b4fea875e3166a2099f6f40a3030b7c2ad5d790f29eedef6aba59a9e"},"schema_version":"1.0"},"canonical_sha256":"6d39a7dabf7937bff71947249750da1b666831b3e53d6cca7be3cabebda6bd17","source":{"kind":"arxiv","id":"2103.09300","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.09300","created_at":"2026-07-05T03:20:01Z"},{"alias_kind":"arxiv_version","alias_value":"2103.09300v2","created_at":"2026-07-05T03:20:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.09300","created_at":"2026-07-05T03:20:01Z"},{"alias_kind":"pith_short_12","alias_value":"NU42PWV7PE33","created_at":"2026-07-05T03:20:01Z"},{"alias_kind":"pith_short_16","alias_value":"NU42PWV7PE3375YZ","created_at":"2026-07-05T03:20:01Z"},{"alias_kind":"pith_short_8","alias_value":"NU42PWV7","created_at":"2026-07-05T03:20:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2021:NU42PWV7PE3375YZI4SJOUG2DN","target":"record","payload":{"canonical_record":{"source":{"id":"2103.09300","kind":"arxiv","version":2},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-16T20:03:50Z","cross_cats_sorted":["eess.IV"],"title_canon_sha256":"7a9417257dc375ef612ac1c5dd80653ba39e1af13defeeaefba03cb733c76d5f","abstract_canon_sha256":"57b551b4b4fea875e3166a2099f6f40a3030b7c2ad5d790f29eedef6aba59a9e"},"schema_version":"1.0"},"canonical_sha256":"6d39a7dabf7937bff71947249750da1b666831b3e53d6cca7be3cabebda6bd17","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T03:20:01.250587Z","signature_b64":"7ALodSNqpQrOSNFPRPx8PHliIwznZ2xbad6v2loHiztiYWG2JMSJpnYZVjUx8iFaoVY8qQAhiKQ41wG+wDgPAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6d39a7dabf7937bff71947249750da1b666831b3e53d6cca7be3cabebda6bd17","last_reissued_at":"2026-07-05T03:20:01.250004Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T03:20:01.250004Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2103.09300","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T03:20:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"dYxMloT9exTncxlpHmB6lQc8vkloIxUKClYT7RW+nN2ps4ufcVZtZivozYYXB3tyf+ja3Vj+6LidH3ycsn54BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T13:29:08.564330Z"},"content_sha256":"d96d7fd9f8114422f215cbcfae62e804b0b60da6344894fcf30c90adecf0b967","schema_version":"1.0","event_id":"sha256:d96d7fd9f8114422f215cbcfae62e804b0b60da6344894fcf30c90adecf0b967"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2021:NU42PWV7PE3375YZI4SJOUG2DN","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The impact of data volume on performance of deep learning based building rooftop extraction using very high spatial resolution aerial images","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["eess.IV"],"primary_cat":"cs.CV","authors_text":"Bingxu Hu, Hasti Andon Petrosians, Hongjie He, Hongzhang Xu, Jonathan Li, Junbo Wang, Ke Yang, Kun Zhao, Kyle Gao, Linlin Xu, Liyuan Qing, Qiutong Yu, Sarah Narges Fatholahi, Siyu Li, Yan Liu, Yuwei Cai, Zhehan Zhang, Zijian Jiang","submitted_at":"2021-03-16T20:03:50Z","abstract_excerpt":"Building rooftop data are of importance in several urban applications and in natural disaster management. In contrast to traditional surveying and mapping, by using high spatial resolution aerial images, deep learning-based building rooftops extraction methods are efficient and accurate. Although more training data is preferred in deep learning-based tasks, the effect of data volume on building extraction models is underexplored. Therefore, the paper explores the impact of data volume on the performance of building rooftop extraction from very-high-spatial-resolution (VHSR) images using deep l"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.09300","kind":"arxiv","version":2},"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/2103.09300/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":"2026-07-05T03:20:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"gm7bg/cps8WDtphjOgZpD60bd1/rJt3OwdD9CAVBvXHcN+IajZwHJ3kpQCxAWg6cNbJXlXYom68MoroTmPI4BA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-07T13:29:08.564713Z"},"content_sha256":"0715babeaf43b3c05a4fbd883208388e72b8b83a4c0b8fa80676acd7b13533b9","schema_version":"1.0","event_id":"sha256:0715babeaf43b3c05a4fbd883208388e72b8b83a4c0b8fa80676acd7b13533b9"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/NU42PWV7PE3375YZI4SJOUG2DN/bundle.json","state_url":"https://pith.science/pith/NU42PWV7PE3375YZI4SJOUG2DN/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/NU42PWV7PE3375YZI4SJOUG2DN/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":"2026-07-07T13:29:08Z","links":{"resolver":"https://pith.science/pith/NU42PWV7PE3375YZI4SJOUG2DN","bundle":"https://pith.science/pith/NU42PWV7PE3375YZI4SJOUG2DN/bundle.json","state":"https://pith.science/pith/NU42PWV7PE3375YZI4SJOUG2DN/state.json","well_known_bundle":"https://pith.science/.well-known/pith/NU42PWV7PE3375YZI4SJOUG2DN/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2021:NU42PWV7PE3375YZI4SJOUG2DN","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":"57b551b4b4fea875e3166a2099f6f40a3030b7c2ad5d790f29eedef6aba59a9e","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-16T20:03:50Z","title_canon_sha256":"7a9417257dc375ef612ac1c5dd80653ba39e1af13defeeaefba03cb733c76d5f"},"schema_version":"1.0","source":{"id":"2103.09300","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2103.09300","created_at":"2026-07-05T03:20:01Z"},{"alias_kind":"arxiv_version","alias_value":"2103.09300v2","created_at":"2026-07-05T03:20:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2103.09300","created_at":"2026-07-05T03:20:01Z"},{"alias_kind":"pith_short_12","alias_value":"NU42PWV7PE33","created_at":"2026-07-05T03:20:01Z"},{"alias_kind":"pith_short_16","alias_value":"NU42PWV7PE3375YZ","created_at":"2026-07-05T03:20:01Z"},{"alias_kind":"pith_short_8","alias_value":"NU42PWV7","created_at":"2026-07-05T03:20:01Z"}],"graph_snapshots":[{"event_id":"sha256:0715babeaf43b3c05a4fbd883208388e72b8b83a4c0b8fa80676acd7b13533b9","target":"graph","created_at":"2026-07-05T03:20:01Z","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/2103.09300/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Building rooftop data are of importance in several urban applications and in natural disaster management. In contrast to traditional surveying and mapping, by using high spatial resolution aerial images, deep learning-based building rooftops extraction methods are efficient and accurate. Although more training data is preferred in deep learning-based tasks, the effect of data volume on building extraction models is underexplored. Therefore, the paper explores the impact of data volume on the performance of building rooftop extraction from very-high-spatial-resolution (VHSR) images using deep l","authors_text":"Bingxu Hu, Hasti Andon Petrosians, Hongjie He, Hongzhang Xu, Jonathan Li, Junbo Wang, Ke Yang, Kun Zhao, Kyle Gao, Linlin Xu, Liyuan Qing, Qiutong Yu, Sarah Narges Fatholahi, Siyu Li, Yan Liu, Yuwei Cai, Zhehan Zhang, Zijian Jiang","cross_cats":["eess.IV"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-16T20:03:50Z","title":"The impact of data volume on performance of deep learning based building rooftop extraction using very high spatial resolution aerial images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2103.09300","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:d96d7fd9f8114422f215cbcfae62e804b0b60da6344894fcf30c90adecf0b967","target":"record","created_at":"2026-07-05T03:20:01Z","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":"57b551b4b4fea875e3166a2099f6f40a3030b7c2ad5d790f29eedef6aba59a9e","cross_cats_sorted":["eess.IV"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CV","submitted_at":"2021-03-16T20:03:50Z","title_canon_sha256":"7a9417257dc375ef612ac1c5dd80653ba39e1af13defeeaefba03cb733c76d5f"},"schema_version":"1.0","source":{"id":"2103.09300","kind":"arxiv","version":2}},"canonical_sha256":"6d39a7dabf7937bff71947249750da1b666831b3e53d6cca7be3cabebda6bd17","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6d39a7dabf7937bff71947249750da1b666831b3e53d6cca7be3cabebda6bd17","first_computed_at":"2026-07-05T03:20:01.250004Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T03:20:01.250004Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"7ALodSNqpQrOSNFPRPx8PHliIwznZ2xbad6v2loHiztiYWG2JMSJpnYZVjUx8iFaoVY8qQAhiKQ41wG+wDgPAA==","signature_status":"signed_v1","signed_at":"2026-07-05T03:20:01.250587Z","signed_message":"canonical_sha256_bytes"},"source_id":"2103.09300","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d96d7fd9f8114422f215cbcfae62e804b0b60da6344894fcf30c90adecf0b967","sha256:0715babeaf43b3c05a4fbd883208388e72b8b83a4c0b8fa80676acd7b13533b9"],"state_sha256":"e2bde3fc0fda18a0464334fec6fe83257973352c078eb86b25d534c4acc8d74e"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"lI1or7rpTd5dNnE7nHAaMS9dl9aiUfgfs+PfCYItIbQOWoj4XsZQiTZ+AyPCzy0bpimRL3eoAeCSObHbjDZjDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-07T13:29:08.566767Z","bundle_sha256":"3c19d1e4accbf7161a04fec65f2c9c3124cabb0190815392f843e7f88125b9fe"}}