{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:2PP33PBUDF7BU4D5CNFK5DACV2","short_pith_number":"pith:2PP33PBU","canonical_record":{"source":{"id":"2504.19546","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-28T07:51:26Z","cross_cats_sorted":[],"title_canon_sha256":"d7b42f3eb998a4342415d4a8e55e4b3ff484c47fc8638240ad6f85f824552e62","abstract_canon_sha256":"1c87d3aa697dec58fc90bb30ee853f0696b3a0dde508c082792fc8afeb80c248"},"schema_version":"1.0"},"canonical_sha256":"d3dfbdbc34197e1a707d134aae8c02aea6df0d5ebd628c3363dfc5ea48a71a71","source":{"kind":"arxiv","id":"2504.19546","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.19546","created_at":"2026-07-05T10:54:59Z"},{"alias_kind":"arxiv_version","alias_value":"2504.19546v1","created_at":"2026-07-05T10:54:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.19546","created_at":"2026-07-05T10:54:59Z"},{"alias_kind":"pith_short_12","alias_value":"2PP33PBUDF7B","created_at":"2026-07-05T10:54:59Z"},{"alias_kind":"pith_short_16","alias_value":"2PP33PBUDF7BU4D5","created_at":"2026-07-05T10:54:59Z"},{"alias_kind":"pith_short_8","alias_value":"2PP33PBU","created_at":"2026-07-05T10:54:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:2PP33PBUDF7BU4D5CNFK5DACV2","target":"record","payload":{"canonical_record":{"source":{"id":"2504.19546","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-28T07:51:26Z","cross_cats_sorted":[],"title_canon_sha256":"d7b42f3eb998a4342415d4a8e55e4b3ff484c47fc8638240ad6f85f824552e62","abstract_canon_sha256":"1c87d3aa697dec58fc90bb30ee853f0696b3a0dde508c082792fc8afeb80c248"},"schema_version":"1.0"},"canonical_sha256":"d3dfbdbc34197e1a707d134aae8c02aea6df0d5ebd628c3363dfc5ea48a71a71","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T10:54:59.405890Z","signature_b64":"iwcqRK3nJqkMQ2LRiVbLVmTxW3wpsx3gJ5asm3Uqney045oS5RQFt2nuV0WDFUH5LKfTc6NRcBWcoiHmtLgxDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"d3dfbdbc34197e1a707d134aae8c02aea6df0d5ebd628c3363dfc5ea48a71a71","last_reissued_at":"2026-07-05T10:54:59.405438Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T10:54:59.405438Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2504.19546","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":"2026-07-05T10:54:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"if0sQRQRmpE5aYttzgk3M5p008uYBdM28uJy4SnkW9c3q0ViTWQBkXKvFfiwJuM6g/IudBU8yXdO5h16ENKwCg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T12:36:13.909874Z"},"content_sha256":"79509a552ced1e11a4e4e647bbc55e177577abdf6b922f3e966752961b9753d2","schema_version":"1.0","event_id":"sha256:79509a552ced1e11a4e4e647bbc55e177577abdf6b922f3e966752961b9753d2"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:2PP33PBUDF7BU4D5CNFK5DACV2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Crowd Detection Using Very-Fine-Resolution Satellite Imagery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Peter M. Atkinson, Ping Lu, Qunming Wang, Tenghai Huang, Tong Xiao, Xiaohua Tong","submitted_at":"2025-04-28T07:51:26Z","abstract_excerpt":"Accurate crowd detection (CD) is critical for public safety and historical pattern analysis, yet existing methods relying on ground and aerial imagery suffer from limited spatio-temporal coverage. The development of very-fine-resolution (VFR) satellite sensor imagery (e.g., ~0.3 m spatial resolution) provides unprecedented opportunities for large-scale crowd activity analysis, but it has never been considered for this task. To address this gap, we proposed CrowdSat-Net, a novel point-based convolutional neural network, which features two innovative components: Dual-Context Progressive Attentio"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.19546","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/2504.19546/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":"2026-07-05T10:54:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"5rTNnZiRftjmkq4WN/yXzD9EjahxjnHzboTPx8BGocDkBOHKEZNlv7OlfmmnjyvDl4BMb7S9nWhuKr9AwvFZAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-12T12:36:13.910397Z"},"content_sha256":"c3071cbd5298b2593a16c11bb35b68570d64603d37d4090329e590e47b457a62","schema_version":"1.0","event_id":"sha256:c3071cbd5298b2593a16c11bb35b68570d64603d37d4090329e590e47b457a62"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/2PP33PBUDF7BU4D5CNFK5DACV2/bundle.json","state_url":"https://pith.science/pith/2PP33PBUDF7BU4D5CNFK5DACV2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/2PP33PBUDF7BU4D5CNFK5DACV2/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":"2026-08-12T12:36:13Z","links":{"resolver":"https://pith.science/pith/2PP33PBUDF7BU4D5CNFK5DACV2","bundle":"https://pith.science/pith/2PP33PBUDF7BU4D5CNFK5DACV2/bundle.json","state":"https://pith.science/pith/2PP33PBUDF7BU4D5CNFK5DACV2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/2PP33PBUDF7BU4D5CNFK5DACV2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:2PP33PBUDF7BU4D5CNFK5DACV2","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":"1c87d3aa697dec58fc90bb30ee853f0696b3a0dde508c082792fc8afeb80c248","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-28T07:51:26Z","title_canon_sha256":"d7b42f3eb998a4342415d4a8e55e4b3ff484c47fc8638240ad6f85f824552e62"},"schema_version":"1.0","source":{"id":"2504.19546","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2504.19546","created_at":"2026-07-05T10:54:59Z"},{"alias_kind":"arxiv_version","alias_value":"2504.19546v1","created_at":"2026-07-05T10:54:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2504.19546","created_at":"2026-07-05T10:54:59Z"},{"alias_kind":"pith_short_12","alias_value":"2PP33PBUDF7B","created_at":"2026-07-05T10:54:59Z"},{"alias_kind":"pith_short_16","alias_value":"2PP33PBUDF7BU4D5","created_at":"2026-07-05T10:54:59Z"},{"alias_kind":"pith_short_8","alias_value":"2PP33PBU","created_at":"2026-07-05T10:54:59Z"}],"graph_snapshots":[{"event_id":"sha256:c3071cbd5298b2593a16c11bb35b68570d64603d37d4090329e590e47b457a62","target":"graph","created_at":"2026-07-05T10:54:59Z","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/2504.19546/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Accurate crowd detection (CD) is critical for public safety and historical pattern analysis, yet existing methods relying on ground and aerial imagery suffer from limited spatio-temporal coverage. The development of very-fine-resolution (VFR) satellite sensor imagery (e.g., ~0.3 m spatial resolution) provides unprecedented opportunities for large-scale crowd activity analysis, but it has never been considered for this task. To address this gap, we proposed CrowdSat-Net, a novel point-based convolutional neural network, which features two innovative components: Dual-Context Progressive Attentio","authors_text":"Peter M. Atkinson, Ping Lu, Qunming Wang, Tenghai Huang, Tong Xiao, Xiaohua Tong","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-28T07:51:26Z","title":"Crowd Detection Using Very-Fine-Resolution Satellite Imagery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2504.19546","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":"sha256:79509a552ced1e11a4e4e647bbc55e177577abdf6b922f3e966752961b9753d2","target":"record","created_at":"2026-07-05T10:54:59Z","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":"1c87d3aa697dec58fc90bb30ee853f0696b3a0dde508c082792fc8afeb80c248","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-04-28T07:51:26Z","title_canon_sha256":"d7b42f3eb998a4342415d4a8e55e4b3ff484c47fc8638240ad6f85f824552e62"},"schema_version":"1.0","source":{"id":"2504.19546","kind":"arxiv","version":1}},"canonical_sha256":"d3dfbdbc34197e1a707d134aae8c02aea6df0d5ebd628c3363dfc5ea48a71a71","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"d3dfbdbc34197e1a707d134aae8c02aea6df0d5ebd628c3363dfc5ea48a71a71","first_computed_at":"2026-07-05T10:54:59.405438Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T10:54:59.405438Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iwcqRK3nJqkMQ2LRiVbLVmTxW3wpsx3gJ5asm3Uqney045oS5RQFt2nuV0WDFUH5LKfTc6NRcBWcoiHmtLgxDg==","signature_status":"signed_v1","signed_at":"2026-07-05T10:54:59.405890Z","signed_message":"canonical_sha256_bytes"},"source_id":"2504.19546","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:79509a552ced1e11a4e4e647bbc55e177577abdf6b922f3e966752961b9753d2","sha256:c3071cbd5298b2593a16c11bb35b68570d64603d37d4090329e590e47b457a62"],"state_sha256":"3c9b1b014b0a8458c1ab94e3e090b585f255fe30f5255fe37f9830c0c15e9d7a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mDVg7NQegqhtuf/rXh9vFEAom7i1FXYKFxr8lAE1iZ03BHAaYbExvucJ8wsUShstU5qlx4kfHbtO/XbLrh/uAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-12T12:36:13.914647Z","bundle_sha256":"77fd8867f8b350543266b19079999cb031608f9e30b3e027f0e2061f84193e34"}}