{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2025:CLCCR4U2VOYUYV4IQ4UGECUKMQ","short_pith_number":"pith:CLCCR4U2","schema_version":"1.0","canonical_sha256":"12c428f29aabb14c57888728620a8a642ff5b2d843c19c0e8cb83290c1958ef7","source":{"kind":"arxiv","id":"2508.18136","version":1},"attestation_state":"computed","paper":{"title":"BirdRecorder's AI on Sky: Safeguarding birds of prey by detection and classification of tiny objects around wind turbines","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.RO","cs.SY","eess.SY"],"primary_cat":"cs.CV","authors_text":"Aamir Ahmad, Anton Kaifel, Eric Price, Felix P. G. Ziegler, Frank Sehnke, Nico Klar, Nizam Gifary","submitted_at":"2025-08-25T15:41:36Z","abstract_excerpt":"The urgent need for renewable energy expansion, particularly wind power, is hindered by conflicts with wildlife conservation. To address this, we developed BirdRecorder, an advanced AI-based anti-collision system to protect endangered birds, especially the red kite (Milvus milvus). Integrating robotics, telemetry, and high-performance AI algorithms, BirdRecorder aims to detect, track, and classify avian species within a range of 800 m to minimize bird-turbine collisions.\n  BirdRecorder integrates advanced AI methods with optimized hardware and software architectures to enable real-time image p"},"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":"2508.18136","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CV","submitted_at":"2025-08-25T15:41:36Z","cross_cats_sorted":["cs.LG","cs.RO","cs.SY","eess.SY"],"title_canon_sha256":"a85f914c73d0f53b7036187bb9222ad390673e13787f4e8ce00811862ec15f62","abstract_canon_sha256":"5a73a55999fbf3b31ba71c359b0b80af0f12e8940f29f55c16ebb43ade00d412"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:58:54.313155Z","signature_b64":"LkoR3d9V1aK8vqGur0ThdEGZidzpOIEziwJ34JmOdHuvWtawiX0kuIlA0+YqDNPbkk2m6MpJfPZmPN8Ngv4yDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"12c428f29aabb14c57888728620a8a642ff5b2d843c19c0e8cb83290c1958ef7","last_reissued_at":"2026-07-05T11:58:54.312642Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:58:54.312642Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"BirdRecorder's AI on Sky: Safeguarding birds of prey by detection and classification of tiny objects around wind turbines","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.LG","cs.RO","cs.SY","eess.SY"],"primary_cat":"cs.CV","authors_text":"Aamir Ahmad, Anton Kaifel, Eric Price, Felix P. G. Ziegler, Frank Sehnke, Nico Klar, Nizam Gifary","submitted_at":"2025-08-25T15:41:36Z","abstract_excerpt":"The urgent need for renewable energy expansion, particularly wind power, is hindered by conflicts with wildlife conservation. To address this, we developed BirdRecorder, an advanced AI-based anti-collision system to protect endangered birds, especially the red kite (Milvus milvus). Integrating robotics, telemetry, and high-performance AI algorithms, BirdRecorder aims to detect, track, and classify avian species within a range of 800 m to minimize bird-turbine collisions.\n  BirdRecorder integrates advanced AI methods with optimized hardware and software architectures to enable real-time image p"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2508.18136","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/2508.18136/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":"2508.18136","created_at":"2026-07-05T11:58:54.312716+00:00"},{"alias_kind":"arxiv_version","alias_value":"2508.18136v1","created_at":"2026-07-05T11:58:54.312716+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2508.18136","created_at":"2026-07-05T11:58:54.312716+00:00"},{"alias_kind":"pith_short_12","alias_value":"CLCCR4U2VOYU","created_at":"2026-07-05T11:58:54.312716+00:00"},{"alias_kind":"pith_short_16","alias_value":"CLCCR4U2VOYUYV4I","created_at":"2026-07-05T11:58:54.312716+00:00"},{"alias_kind":"pith_short_8","alias_value":"CLCCR4U2","created_at":"2026-07-05T11:58:54.312716+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":1,"internal_anchor_count":1,"sample":[{"citing_arxiv_id":"2508.18138","citing_title":"Asymmetric stress engineering of dense dislocations in brittle superconductors for strong vortex pinning","ref_index":1,"is_internal_anchor":true}]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/CLCCR4U2VOYUYV4IQ4UGECUKMQ","json":"https://pith.science/pith/CLCCR4U2VOYUYV4IQ4UGECUKMQ.json","graph_json":"https://pith.science/api/pith-number/CLCCR4U2VOYUYV4IQ4UGECUKMQ/graph.json","events_json":"https://pith.science/api/pith-number/CLCCR4U2VOYUYV4IQ4UGECUKMQ/events.json","paper":"https://pith.science/paper/CLCCR4U2"},"agent_actions":{"view_html":"https://pith.science/pith/CLCCR4U2VOYUYV4IQ4UGECUKMQ","download_json":"https://pith.science/pith/CLCCR4U2VOYUYV4IQ4UGECUKMQ.json","view_paper":"https://pith.science/paper/CLCCR4U2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2508.18136&json=true","fetch_graph":"https://pith.science/api/pith-number/CLCCR4U2VOYUYV4IQ4UGECUKMQ/graph.json","fetch_events":"https://pith.science/api/pith-number/CLCCR4U2VOYUYV4IQ4UGECUKMQ/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/CLCCR4U2VOYUYV4IQ4UGECUKMQ/action/timestamp_anchor","attest_storage":"https://pith.science/pith/CLCCR4U2VOYUYV4IQ4UGECUKMQ/action/storage_attestation","attest_author":"https://pith.science/pith/CLCCR4U2VOYUYV4IQ4UGECUKMQ/action/author_attestation","sign_citation":"https://pith.science/pith/CLCCR4U2VOYUYV4IQ4UGECUKMQ/action/citation_signature","submit_replication":"https://pith.science/pith/CLCCR4U2VOYUYV4IQ4UGECUKMQ/action/replication_record"}},"created_at":"2026-07-05T11:58:54.312716+00:00","updated_at":"2026-07-05T11:58:54.312716+00:00"}