{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:JOBQMLCC7K42UTKI43L5VKSJS2","short_pith_number":"pith:JOBQMLCC","canonical_record":{"source":{"id":"2501.01855","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-03T15:11:14Z","cross_cats_sorted":[],"title_canon_sha256":"a54f5699a7e142fe11b922d2ad0dcbb1969d7049e00ab07ad55c57b9d6bb0496","abstract_canon_sha256":"74787495dd2b3272afb83bbabf0ed82aefb11e717752241e542279c8f954c756"},"schema_version":"1.0"},"canonical_sha256":"4b83062c42fab9aa4d48e6d7daaa49968aa5ffd7d03f1c68193c29cb42729455","source":{"kind":"arxiv","id":"2501.01855","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01855","created_at":"2026-07-05T11:29:53Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01855v3","created_at":"2026-07-05T11:29:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01855","created_at":"2026-07-05T11:29:53Z"},{"alias_kind":"pith_short_12","alias_value":"JOBQMLCC7K42","created_at":"2026-07-05T11:29:53Z"},{"alias_kind":"pith_short_16","alias_value":"JOBQMLCC7K42UTKI","created_at":"2026-07-05T11:29:53Z"},{"alias_kind":"pith_short_8","alias_value":"JOBQMLCC","created_at":"2026-07-05T11:29:53Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:JOBQMLCC7K42UTKI43L5VKSJS2","target":"record","payload":{"canonical_record":{"source":{"id":"2501.01855","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-03T15:11:14Z","cross_cats_sorted":[],"title_canon_sha256":"a54f5699a7e142fe11b922d2ad0dcbb1969d7049e00ab07ad55c57b9d6bb0496","abstract_canon_sha256":"74787495dd2b3272afb83bbabf0ed82aefb11e717752241e542279c8f954c756"},"schema_version":"1.0"},"canonical_sha256":"4b83062c42fab9aa4d48e6d7daaa49968aa5ffd7d03f1c68193c29cb42729455","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:29:53.552135Z","signature_b64":"2jxA4EUWFSIbnJMb2Zs/DglFb+69bqxMvFtMNOxOYHp0TOvnAwj1i0EJfuty2CBDDsKgX9IDMBRg7Hf9i4/qBg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"4b83062c42fab9aa4d48e6d7daaa49968aa5ffd7d03f1c68193c29cb42729455","last_reissued_at":"2026-07-05T11:29:53.551680Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:29:53.551680Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2501.01855","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T11:29:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fLwK/VXG0SZVA/5SgkzaO/TFa2l225HecqC1j/b/FCfyqoAgOrL+oWrEWj9Qy14sCBB3JyWbMbv21NlUGTEhDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T10:36:41.836655Z"},"content_sha256":"a9de9cb9d50183b2565365a3f55e2b76792b91b2b1545be2c40c7b11c1b4d21b","schema_version":"1.0","event_id":"sha256:a9de9cb9d50183b2565365a3f55e2b76792b91b2b1545be2c40c7b11c1b4d21b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:JOBQMLCC7K42UTKI43L5VKSJS2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"UAV-DETR: Efficient End-to-End Object Detection for Unmanned Aerial Vehicle Imagery","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Guo-Niu Zhu, Huaxiang Zhang, Kai Liu, Zhongxue Gan","submitted_at":"2025-01-03T15:11:14Z","abstract_excerpt":"Unmanned aerial vehicle object detection (UAV-OD) has been widely used in various scenarios. However, most existing UAV-OD algorithms rely on manually designed components, which require extensive tuning. End-to-end models that do not depend on such manually designed components are mainly designed for natural images, which are less effective for UAV imagery. To address such challenges, this paper proposes an efficient detection transformer (DETR) framework tailored for UAV imagery, i.e., UAV-DETR. The framework includes a multi-scale feature fusion with frequency enhancement module, which captu"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01855","kind":"arxiv","version":3},"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/2501.01855/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":"2026-07-05T11:29:53Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"mVUP/8uOG15bq4nPvpVWEyF7+A/n4GG0KhTY4N5X/4JaaUQish0MqQBMyS+51a1X1nZc3N3ITgls7pR+/ZKrAA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-04T10:36:41.837216Z"},"content_sha256":"a571d840f8c71192ebe4bf4b048b73d7c04647c2b60249b4ff2a21bdbaa32d1e","schema_version":"1.0","event_id":"sha256:a571d840f8c71192ebe4bf4b048b73d7c04647c2b60249b4ff2a21bdbaa32d1e"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/JOBQMLCC7K42UTKI43L5VKSJS2/bundle.json","state_url":"https://pith.science/pith/JOBQMLCC7K42UTKI43L5VKSJS2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/JOBQMLCC7K42UTKI43L5VKSJS2/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":"2026-08-04T10:36:41Z","links":{"resolver":"https://pith.science/pith/JOBQMLCC7K42UTKI43L5VKSJS2","bundle":"https://pith.science/pith/JOBQMLCC7K42UTKI43L5VKSJS2/bundle.json","state":"https://pith.science/pith/JOBQMLCC7K42UTKI43L5VKSJS2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/JOBQMLCC7K42UTKI43L5VKSJS2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:JOBQMLCC7K42UTKI43L5VKSJS2","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":"74787495dd2b3272afb83bbabf0ed82aefb11e717752241e542279c8f954c756","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-03T15:11:14Z","title_canon_sha256":"a54f5699a7e142fe11b922d2ad0dcbb1969d7049e00ab07ad55c57b9d6bb0496"},"schema_version":"1.0","source":{"id":"2501.01855","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2501.01855","created_at":"2026-07-05T11:29:53Z"},{"alias_kind":"arxiv_version","alias_value":"2501.01855v3","created_at":"2026-07-05T11:29:53Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2501.01855","created_at":"2026-07-05T11:29:53Z"},{"alias_kind":"pith_short_12","alias_value":"JOBQMLCC7K42","created_at":"2026-07-05T11:29:53Z"},{"alias_kind":"pith_short_16","alias_value":"JOBQMLCC7K42UTKI","created_at":"2026-07-05T11:29:53Z"},{"alias_kind":"pith_short_8","alias_value":"JOBQMLCC","created_at":"2026-07-05T11:29:53Z"}],"graph_snapshots":[{"event_id":"sha256:a571d840f8c71192ebe4bf4b048b73d7c04647c2b60249b4ff2a21bdbaa32d1e","target":"graph","created_at":"2026-07-05T11:29:53Z","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/2501.01855/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Unmanned aerial vehicle object detection (UAV-OD) has been widely used in various scenarios. However, most existing UAV-OD algorithms rely on manually designed components, which require extensive tuning. End-to-end models that do not depend on such manually designed components are mainly designed for natural images, which are less effective for UAV imagery. To address such challenges, this paper proposes an efficient detection transformer (DETR) framework tailored for UAV imagery, i.e., UAV-DETR. The framework includes a multi-scale feature fusion with frequency enhancement module, which captu","authors_text":"Guo-Niu Zhu, Huaxiang Zhang, Kai Liu, Zhongxue Gan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-03T15:11:14Z","title":"UAV-DETR: Efficient End-to-End Object Detection for Unmanned Aerial Vehicle Imagery"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2501.01855","kind":"arxiv","version":3},"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:a9de9cb9d50183b2565365a3f55e2b76792b91b2b1545be2c40c7b11c1b4d21b","target":"record","created_at":"2026-07-05T11:29:53Z","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":"74787495dd2b3272afb83bbabf0ed82aefb11e717752241e542279c8f954c756","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-01-03T15:11:14Z","title_canon_sha256":"a54f5699a7e142fe11b922d2ad0dcbb1969d7049e00ab07ad55c57b9d6bb0496"},"schema_version":"1.0","source":{"id":"2501.01855","kind":"arxiv","version":3}},"canonical_sha256":"4b83062c42fab9aa4d48e6d7daaa49968aa5ffd7d03f1c68193c29cb42729455","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4b83062c42fab9aa4d48e6d7daaa49968aa5ffd7d03f1c68193c29cb42729455","first_computed_at":"2026-07-05T11:29:53.551680Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:29:53.551680Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2jxA4EUWFSIbnJMb2Zs/DglFb+69bqxMvFtMNOxOYHp0TOvnAwj1i0EJfuty2CBDDsKgX9IDMBRg7Hf9i4/qBg==","signature_status":"signed_v1","signed_at":"2026-07-05T11:29:53.552135Z","signed_message":"canonical_sha256_bytes"},"source_id":"2501.01855","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:a9de9cb9d50183b2565365a3f55e2b76792b91b2b1545be2c40c7b11c1b4d21b","sha256:a571d840f8c71192ebe4bf4b048b73d7c04647c2b60249b4ff2a21bdbaa32d1e"],"state_sha256":"e4827aac978c34fc8dc34b8af49184863c5af8276e04d835e708ffaa1517ac36"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"aOI7pBy7zIGAxlsGg4lTS3aeoMcr4jAlsDenJEznGW3RDSkEviMwEkTyuJmOhGmS3WrBnaglS20cQ/0DDM9KAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-04T10:36:41.844173Z","bundle_sha256":"7ba2f87eaf88831dc8946e77146503dfe3273549276bf5fab4de4f4c09a530d0"}}