{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:4PXKUZEQTPAQRYMCHO3ID3RH6X","short_pith_number":"pith:4PXKUZEQ","schema_version":"1.0","canonical_sha256":"e3eeaa64909bc108e1823bb681ee27f5eebc10d8afbc5d943dc29e5460498563","source":{"kind":"arxiv","id":"2405.14674","version":1},"attestation_state":"computed","paper":{"title":"Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Mingxin Chen, Peirui Cheng, Pengju Tian, Xian Sun, Xinming Li, Xue Yang, Zhechao Wang, Zhirui Wang","submitted_at":"2024-05-23T15:11:23Z","abstract_excerpt":"Collaborative trajectory prediction can comprehensively forecast the future motion of objects through multi-view complementary information. However, it encounters two main challenges in multi-drone collaboration settings. The expansive aerial observations make it difficult to generate precise Bird's Eye View (BEV) representations. Besides, excessive interactions can not meet real-time prediction requirements within the constrained drone-based communication bandwidth. To address these problems, we propose a novel framework named \"Drones Help Drones\" (DHD). Firstly, we incorporate the ground pri"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"2405.14674","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-sa/4.0/","primary_cat":"cs.CV","submitted_at":"2024-05-23T15:11:23Z","cross_cats_sorted":[],"title_canon_sha256":"14cca240027078b8a25716f81a11e0293febaa34cf0638f337fc89bbca96f6de","abstract_canon_sha256":"2d67e66b474987290cb420f9bf9c54696d940cb1ff115fe50fe1b7864d0e8521"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:22:26.498408Z","signature_b64":"XU8tI3+vLzb07Blvg3eOeSS6PcHJKGd0HJPpvTX80QZ174MBv7zFY/yxHaVEINXDSwUxNiiO/I16rbBybiuxCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e3eeaa64909bc108e1823bb681ee27f5eebc10d8afbc5d943dc29e5460498563","last_reissued_at":"2026-07-05T08:22:26.498003Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:22:26.498003Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Drones Help Drones: A Collaborative Framework for Multi-Drone Object Trajectory Prediction and Beyond","license":"http://creativecommons.org/licenses/by-sa/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Mingxin Chen, Peirui Cheng, Pengju Tian, Xian Sun, Xinming Li, Xue Yang, Zhechao Wang, Zhirui Wang","submitted_at":"2024-05-23T15:11:23Z","abstract_excerpt":"Collaborative trajectory prediction can comprehensively forecast the future motion of objects through multi-view complementary information. However, it encounters two main challenges in multi-drone collaboration settings. The expansive aerial observations make it difficult to generate precise Bird's Eye View (BEV) representations. Besides, excessive interactions can not meet real-time prediction requirements within the constrained drone-based communication bandwidth. To address these problems, we propose a novel framework named \"Drones Help Drones\" (DHD). Firstly, we incorporate the ground pri"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2405.14674","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/2405.14674/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"},"aliases":[{"alias_kind":"arxiv","alias_value":"2405.14674","created_at":"2026-07-05T08:22:26.498053+00:00"},{"alias_kind":"arxiv_version","alias_value":"2405.14674v1","created_at":"2026-07-05T08:22:26.498053+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2405.14674","created_at":"2026-07-05T08:22:26.498053+00:00"},{"alias_kind":"pith_short_12","alias_value":"4PXKUZEQTPAQ","created_at":"2026-07-05T08:22:26.498053+00:00"},{"alias_kind":"pith_short_16","alias_value":"4PXKUZEQTPAQRYMC","created_at":"2026-07-05T08:22:26.498053+00:00"},{"alias_kind":"pith_short_8","alias_value":"4PXKUZEQ","created_at":"2026-07-05T08:22:26.498053+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/4PXKUZEQTPAQRYMCHO3ID3RH6X","json":"https://pith.science/pith/4PXKUZEQTPAQRYMCHO3ID3RH6X.json","graph_json":"https://pith.science/api/pith-number/4PXKUZEQTPAQRYMCHO3ID3RH6X/graph.json","events_json":"https://pith.science/api/pith-number/4PXKUZEQTPAQRYMCHO3ID3RH6X/events.json","paper":"https://pith.science/paper/4PXKUZEQ"},"agent_actions":{"view_html":"https://pith.science/pith/4PXKUZEQTPAQRYMCHO3ID3RH6X","download_json":"https://pith.science/pith/4PXKUZEQTPAQRYMCHO3ID3RH6X.json","view_paper":"https://pith.science/paper/4PXKUZEQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2405.14674&json=true","fetch_graph":"https://pith.science/api/pith-number/4PXKUZEQTPAQRYMCHO3ID3RH6X/graph.json","fetch_events":"https://pith.science/api/pith-number/4PXKUZEQTPAQRYMCHO3ID3RH6X/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4PXKUZEQTPAQRYMCHO3ID3RH6X/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4PXKUZEQTPAQRYMCHO3ID3RH6X/action/storage_attestation","attest_author":"https://pith.science/pith/4PXKUZEQTPAQRYMCHO3ID3RH6X/action/author_attestation","sign_citation":"https://pith.science/pith/4PXKUZEQTPAQRYMCHO3ID3RH6X/action/citation_signature","submit_replication":"https://pith.science/pith/4PXKUZEQTPAQRYMCHO3ID3RH6X/action/replication_record"}},"created_at":"2026-07-05T08:22:26.498053+00:00","updated_at":"2026-07-05T08:22:26.498053+00:00"}