{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2020:ZPYLW6T3ELXXNF6JPFLUO2QR4P","short_pith_number":"pith:ZPYLW6T3","canonical_record":{"source":{"id":"2004.05520","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-12T01:32:00Z","cross_cats_sorted":[],"title_canon_sha256":"a7de715b4631d873fbcaaf2044d282be75864058924076abbf4ff485cbe47522","abstract_canon_sha256":"6a71d480f036b0c58611da93cbe668d5aef279749840ead32b359e0fcbfcbea1"},"schema_version":"1.0"},"canonical_sha256":"cbf0bb7a7b22ef7697c97957476a11e3cbd41af41f2dbe5e9f0ca543b67bd2f6","source":{"kind":"arxiv","id":"2004.05520","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.05520","created_at":"2026-07-05T00:54:37Z"},{"alias_kind":"arxiv_version","alias_value":"2004.05520v1","created_at":"2026-07-05T00:54:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.05520","created_at":"2026-07-05T00:54:37Z"},{"alias_kind":"pith_short_12","alias_value":"ZPYLW6T3ELXX","created_at":"2026-07-05T00:54:37Z"},{"alias_kind":"pith_short_16","alias_value":"ZPYLW6T3ELXXNF6J","created_at":"2026-07-05T00:54:37Z"},{"alias_kind":"pith_short_8","alias_value":"ZPYLW6T3","created_at":"2026-07-05T00:54:37Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2020:ZPYLW6T3ELXXNF6JPFLUO2QR4P","target":"record","payload":{"canonical_record":{"source":{"id":"2004.05520","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-12T01:32:00Z","cross_cats_sorted":[],"title_canon_sha256":"a7de715b4631d873fbcaaf2044d282be75864058924076abbf4ff485cbe47522","abstract_canon_sha256":"6a71d480f036b0c58611da93cbe668d5aef279749840ead32b359e0fcbfcbea1"},"schema_version":"1.0"},"canonical_sha256":"cbf0bb7a7b22ef7697c97957476a11e3cbd41af41f2dbe5e9f0ca543b67bd2f6","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T00:54:37.909684Z","signature_b64":"3vd0RyUIz+Xp5mUwcKqjpf4izcYScck5UIV+GuuEPwrdkes77fVTSBphW0SZSALKAgHolrOS97aPfyoyuGjkBA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"cbf0bb7a7b22ef7697c97957476a11e3cbd41af41f2dbe5e9f0ca543b67bd2f6","last_reissued_at":"2026-07-05T00:54:37.909342Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T00:54:37.909342Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2004.05520","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":"2026-07-05T00:54:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"bpfFOCZBWblZbIOA2C1vYrbMcBGcdvkwac8CBrW8WUO05vSBXwBEgZAaKCmaVxi/Ak2gFOgN2l+a1DTpEENnAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T06:37:39.873454Z"},"content_sha256":"ef54c895211b74478ac654a494c08bdf05e331f9213c1e933a9f8e0f0fab5beb","schema_version":"1.0","event_id":"sha256:ef54c895211b74478ac654a494c08bdf05e331f9213c1e933a9f8e0f0fab5beb"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2020:ZPYLW6T3ELXXNF6JPFLUO2QR4P","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Density Map Guided Object Detection in Aerial Images","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Changlin Li, Chen Chen, Shanyue Guan, Sijie Zhu, Taojiannan Yang","submitted_at":"2020-04-12T01:32:00Z","abstract_excerpt":"Object detection in high-resolution aerial images is a challenging task because of 1) the large variation in object size, and 2) non-uniform distribution of objects. A common solution is to divide the large aerial image into small (uniform) crops and then apply object detection on each small crop. In this paper, we investigate the image cropping strategy to address these challenges. Specifically, we propose a Density-Map guided object detection Network (DMNet), which is inspired from the observation that the object density map of an image presents how objects distribute in terms of the pixel i"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.05520","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/2004.05520/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":"2026-07-05T00:54:37Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"LsXOShwTYvcDq+uyQ0DgJE/X0oL4rbbRn+O8oSZBM/CMZPIIjkczs7UlcZcTYMnW0B5l6HwnOjccxg+R6QVRBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-07-10T06:37:39.873828Z"},"content_sha256":"2a66c2fbb1f18c0e61aee4b713cd4de10a97258384d4240f1c1c10b48bc1bf97","schema_version":"1.0","event_id":"sha256:2a66c2fbb1f18c0e61aee4b713cd4de10a97258384d4240f1c1c10b48bc1bf97"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/ZPYLW6T3ELXXNF6JPFLUO2QR4P/bundle.json","state_url":"https://pith.science/pith/ZPYLW6T3ELXXNF6JPFLUO2QR4P/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/ZPYLW6T3ELXXNF6JPFLUO2QR4P/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":"2026-07-10T06:37:39Z","links":{"resolver":"https://pith.science/pith/ZPYLW6T3ELXXNF6JPFLUO2QR4P","bundle":"https://pith.science/pith/ZPYLW6T3ELXXNF6JPFLUO2QR4P/bundle.json","state":"https://pith.science/pith/ZPYLW6T3ELXXNF6JPFLUO2QR4P/state.json","well_known_bundle":"https://pith.science/.well-known/pith/ZPYLW6T3ELXXNF6JPFLUO2QR4P/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2020:ZPYLW6T3ELXXNF6JPFLUO2QR4P","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":"6a71d480f036b0c58611da93cbe668d5aef279749840ead32b359e0fcbfcbea1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-12T01:32:00Z","title_canon_sha256":"a7de715b4631d873fbcaaf2044d282be75864058924076abbf4ff485cbe47522"},"schema_version":"1.0","source":{"id":"2004.05520","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2004.05520","created_at":"2026-07-05T00:54:37Z"},{"alias_kind":"arxiv_version","alias_value":"2004.05520v1","created_at":"2026-07-05T00:54:37Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2004.05520","created_at":"2026-07-05T00:54:37Z"},{"alias_kind":"pith_short_12","alias_value":"ZPYLW6T3ELXX","created_at":"2026-07-05T00:54:37Z"},{"alias_kind":"pith_short_16","alias_value":"ZPYLW6T3ELXXNF6J","created_at":"2026-07-05T00:54:37Z"},{"alias_kind":"pith_short_8","alias_value":"ZPYLW6T3","created_at":"2026-07-05T00:54:37Z"}],"graph_snapshots":[{"event_id":"sha256:2a66c2fbb1f18c0e61aee4b713cd4de10a97258384d4240f1c1c10b48bc1bf97","target":"graph","created_at":"2026-07-05T00:54:37Z","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/2004.05520/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Object detection in high-resolution aerial images is a challenging task because of 1) the large variation in object size, and 2) non-uniform distribution of objects. A common solution is to divide the large aerial image into small (uniform) crops and then apply object detection on each small crop. In this paper, we investigate the image cropping strategy to address these challenges. Specifically, we propose a Density-Map guided object detection Network (DMNet), which is inspired from the observation that the object density map of an image presents how objects distribute in terms of the pixel i","authors_text":"Changlin Li, Chen Chen, Shanyue Guan, Sijie Zhu, Taojiannan Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-12T01:32:00Z","title":"Density Map Guided Object Detection in Aerial Images"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2004.05520","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:ef54c895211b74478ac654a494c08bdf05e331f9213c1e933a9f8e0f0fab5beb","target":"record","created_at":"2026-07-05T00:54:37Z","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":"6a71d480f036b0c58611da93cbe668d5aef279749840ead32b359e0fcbfcbea1","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2020-04-12T01:32:00Z","title_canon_sha256":"a7de715b4631d873fbcaaf2044d282be75864058924076abbf4ff485cbe47522"},"schema_version":"1.0","source":{"id":"2004.05520","kind":"arxiv","version":1}},"canonical_sha256":"cbf0bb7a7b22ef7697c97957476a11e3cbd41af41f2dbe5e9f0ca543b67bd2f6","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"cbf0bb7a7b22ef7697c97957476a11e3cbd41af41f2dbe5e9f0ca543b67bd2f6","first_computed_at":"2026-07-05T00:54:37.909342Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T00:54:37.909342Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"3vd0RyUIz+Xp5mUwcKqjpf4izcYScck5UIV+GuuEPwrdkes77fVTSBphW0SZSALKAgHolrOS97aPfyoyuGjkBA==","signature_status":"signed_v1","signed_at":"2026-07-05T00:54:37.909684Z","signed_message":"canonical_sha256_bytes"},"source_id":"2004.05520","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:ef54c895211b74478ac654a494c08bdf05e331f9213c1e933a9f8e0f0fab5beb","sha256:2a66c2fbb1f18c0e61aee4b713cd4de10a97258384d4240f1c1c10b48bc1bf97"],"state_sha256":"e608a2433c5e542601b70be08f514f067c354535ddd999be40c25449df15d950"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"r3+WntK9rR/Oi2lySCabJ5VludarIf97BwuKrrSh17CC9SZ51SuOexbJWJ3zgm0+1dYb23iGGy8t7PBAfMmCCw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-07-10T06:37:39.876148Z","bundle_sha256":"04d4a6e2a1b6c852160995b930d5578a8daf07d756abc3831313e92ea6d7bd2c"}}