{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:EI6WLGLRUUKTJZFIRPLGYG6RRQ","short_pith_number":"pith:EI6WLGLR","schema_version":"1.0","canonical_sha256":"223d659971a51534e4a88bd66c1bd18c1dd9e03bbcc87027fa18febcdd9b56bf","source":{"kind":"arxiv","id":"2404.19276","version":1},"attestation_state":"computed","paper":{"title":"C2FDrone: Coarse-to-Fine Drone-to-Drone Detection using Vision Transformer Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Pranoy Panda, Sairam VC Rebbapragada, Vineeth N Balasubramanian","submitted_at":"2024-04-30T05:51:21Z","abstract_excerpt":"A vision-based drone-to-drone detection system is crucial for various applications like collision avoidance, countering hostile drones, and search-and-rescue operations. However, detecting drones presents unique challenges, including small object sizes, distortion, occlusion, and real-time processing requirements. Current methods integrating multi-scale feature fusion and temporal information have limitations in handling extreme blur and minuscule objects. To address this, we propose a novel coarse-to-fine detection strategy based on vision transformers. We evaluate our approach on three chall"},"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":"2404.19276","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CV","submitted_at":"2024-04-30T05:51:21Z","cross_cats_sorted":[],"title_canon_sha256":"7a20f89690d3754cbb10099bcbf5ee1c226270fb892529300eed01c3be317e2a","abstract_canon_sha256":"3e692ba9fc9739ecc9bf6b5c68e9cec41646632a15b0d2c2e6e2b1d525b29aff"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:13:40.754526Z","signature_b64":"MVwfUM+/WvHgIiU/EJ5RKlQOoCVHmWOKCJK8Uys77wchEfy5Avz+gQttEhCUMQdJhHJtOIFzQRmjMrF6DMnqAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"223d659971a51534e4a88bd66c1bd18c1dd9e03bbcc87027fa18febcdd9b56bf","last_reissued_at":"2026-07-05T08:13:40.754118Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:13:40.754118Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"C2FDrone: Coarse-to-Fine Drone-to-Drone Detection using Vision Transformer Networks","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CV","authors_text":"Pranoy Panda, Sairam VC Rebbapragada, Vineeth N Balasubramanian","submitted_at":"2024-04-30T05:51:21Z","abstract_excerpt":"A vision-based drone-to-drone detection system is crucial for various applications like collision avoidance, countering hostile drones, and search-and-rescue operations. However, detecting drones presents unique challenges, including small object sizes, distortion, occlusion, and real-time processing requirements. Current methods integrating multi-scale feature fusion and temporal information have limitations in handling extreme blur and minuscule objects. To address this, we propose a novel coarse-to-fine detection strategy based on vision transformers. We evaluate our approach on three chall"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2404.19276","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/2404.19276/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":"2404.19276","created_at":"2026-07-05T08:13:40.754176+00:00"},{"alias_kind":"arxiv_version","alias_value":"2404.19276v1","created_at":"2026-07-05T08:13:40.754176+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2404.19276","created_at":"2026-07-05T08:13:40.754176+00:00"},{"alias_kind":"pith_short_12","alias_value":"EI6WLGLRUUKT","created_at":"2026-07-05T08:13:40.754176+00:00"},{"alias_kind":"pith_short_16","alias_value":"EI6WLGLRUUKTJZFI","created_at":"2026-07-05T08:13:40.754176+00:00"},{"alias_kind":"pith_short_8","alias_value":"EI6WLGLR","created_at":"2026-07-05T08:13:40.754176+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/EI6WLGLRUUKTJZFIRPLGYG6RRQ","json":"https://pith.science/pith/EI6WLGLRUUKTJZFIRPLGYG6RRQ.json","graph_json":"https://pith.science/api/pith-number/EI6WLGLRUUKTJZFIRPLGYG6RRQ/graph.json","events_json":"https://pith.science/api/pith-number/EI6WLGLRUUKTJZFIRPLGYG6RRQ/events.json","paper":"https://pith.science/paper/EI6WLGLR"},"agent_actions":{"view_html":"https://pith.science/pith/EI6WLGLRUUKTJZFIRPLGYG6RRQ","download_json":"https://pith.science/pith/EI6WLGLRUUKTJZFIRPLGYG6RRQ.json","view_paper":"https://pith.science/paper/EI6WLGLR","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2404.19276&json=true","fetch_graph":"https://pith.science/api/pith-number/EI6WLGLRUUKTJZFIRPLGYG6RRQ/graph.json","fetch_events":"https://pith.science/api/pith-number/EI6WLGLRUUKTJZFIRPLGYG6RRQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EI6WLGLRUUKTJZFIRPLGYG6RRQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EI6WLGLRUUKTJZFIRPLGYG6RRQ/action/storage_attestation","attest_author":"https://pith.science/pith/EI6WLGLRUUKTJZFIRPLGYG6RRQ/action/author_attestation","sign_citation":"https://pith.science/pith/EI6WLGLRUUKTJZFIRPLGYG6RRQ/action/citation_signature","submit_replication":"https://pith.science/pith/EI6WLGLRUUKTJZFIRPLGYG6RRQ/action/replication_record"}},"created_at":"2026-07-05T08:13:40.754176+00:00","updated_at":"2026-07-05T08:13:40.754176+00:00"}