{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2022:4HDLMCWD6YHWRXKJG6UXKFYGQS","short_pith_number":"pith:4HDLMCWD","schema_version":"1.0","canonical_sha256":"e1c6b60ac3f60f68dd4937a97517068491bd90887ff372bd96ac8c740f54ea59","source":{"kind":"arxiv","id":"2211.01958","version":1},"attestation_state":"computed","paper":{"title":"An Efficient Approach with Dynamic Multi-Swarm of UAVs for Forest Firefighting","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.RO","cs.SY","eess.SY"],"primary_cat":"cs.MA","authors_text":"Josy John, J. Senthilnath, K. Harikumar, Suresh Sundaram","submitted_at":"2022-11-03T16:41:09Z","abstract_excerpt":"In this paper, the Multi-Swarm Cooperative Information-driven search and Divide and Conquer mitigation control (MSCIDC) approach is proposed for faster detection and mitigation of forest fire by reducing the loss of biodiversity, nutrients, soil moisture, and other intangible benefits. A swarm is a cooperative group of Unmanned Aerial Vehicles (UAVs) that fly together to search and quench the fire effectively. The multi-swarm cooperative information-driven search uses a multi-level search comprising cooperative information-driven exploration and exploitation for quick/accurate detection of fir"},"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":"2211.01958","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.MA","submitted_at":"2022-11-03T16:41:09Z","cross_cats_sorted":["cs.RO","cs.SY","eess.SY"],"title_canon_sha256":"5fe921a87dd7f1a2a0961fbbf42183352080b1b02224a271828c9e495d2ee8a9","abstract_canon_sha256":"7daf5423ff9832f076534026aef46586864ebef9d10ab7c746a50a2170719ba3"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:32:12.210922Z","signature_b64":"uPAQ1IACp90RsEANT0AcQU6chOKB2Gx9AlSXBq5d3RhMeeK5aTBDmWwRNhznKYILnknyubb+aZA4Rw3EU5+MCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e1c6b60ac3f60f68dd4937a97517068491bd90887ff372bd96ac8c740f54ea59","last_reissued_at":"2026-07-05T11:32:12.210439Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:32:12.210439Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"An Efficient Approach with Dynamic Multi-Swarm of UAVs for Forest Firefighting","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.RO","cs.SY","eess.SY"],"primary_cat":"cs.MA","authors_text":"Josy John, J. Senthilnath, K. Harikumar, Suresh Sundaram","submitted_at":"2022-11-03T16:41:09Z","abstract_excerpt":"In this paper, the Multi-Swarm Cooperative Information-driven search and Divide and Conquer mitigation control (MSCIDC) approach is proposed for faster detection and mitigation of forest fire by reducing the loss of biodiversity, nutrients, soil moisture, and other intangible benefits. A swarm is a cooperative group of Unmanned Aerial Vehicles (UAVs) that fly together to search and quench the fire effectively. The multi-swarm cooperative information-driven search uses a multi-level search comprising cooperative information-driven exploration and exploitation for quick/accurate detection of fir"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2211.01958","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/2211.01958/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":"2211.01958","created_at":"2026-07-05T11:32:12.210492+00:00"},{"alias_kind":"arxiv_version","alias_value":"2211.01958v1","created_at":"2026-07-05T11:32:12.210492+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2211.01958","created_at":"2026-07-05T11:32:12.210492+00:00"},{"alias_kind":"pith_short_12","alias_value":"4HDLMCWD6YHW","created_at":"2026-07-05T11:32:12.210492+00:00"},{"alias_kind":"pith_short_16","alias_value":"4HDLMCWD6YHWRXKJ","created_at":"2026-07-05T11:32:12.210492+00:00"},{"alias_kind":"pith_short_8","alias_value":"4HDLMCWD","created_at":"2026-07-05T11:32:12.210492+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/4HDLMCWD6YHWRXKJG6UXKFYGQS","json":"https://pith.science/pith/4HDLMCWD6YHWRXKJG6UXKFYGQS.json","graph_json":"https://pith.science/api/pith-number/4HDLMCWD6YHWRXKJG6UXKFYGQS/graph.json","events_json":"https://pith.science/api/pith-number/4HDLMCWD6YHWRXKJG6UXKFYGQS/events.json","paper":"https://pith.science/paper/4HDLMCWD"},"agent_actions":{"view_html":"https://pith.science/pith/4HDLMCWD6YHWRXKJG6UXKFYGQS","download_json":"https://pith.science/pith/4HDLMCWD6YHWRXKJG6UXKFYGQS.json","view_paper":"https://pith.science/paper/4HDLMCWD","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2211.01958&json=true","fetch_graph":"https://pith.science/api/pith-number/4HDLMCWD6YHWRXKJG6UXKFYGQS/graph.json","fetch_events":"https://pith.science/api/pith-number/4HDLMCWD6YHWRXKJG6UXKFYGQS/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/4HDLMCWD6YHWRXKJG6UXKFYGQS/action/timestamp_anchor","attest_storage":"https://pith.science/pith/4HDLMCWD6YHWRXKJG6UXKFYGQS/action/storage_attestation","attest_author":"https://pith.science/pith/4HDLMCWD6YHWRXKJG6UXKFYGQS/action/author_attestation","sign_citation":"https://pith.science/pith/4HDLMCWD6YHWRXKJG6UXKFYGQS/action/citation_signature","submit_replication":"https://pith.science/pith/4HDLMCWD6YHWRXKJG6UXKFYGQS/action/replication_record"}},"created_at":"2026-07-05T11:32:12.210492+00:00","updated_at":"2026-07-05T11:32:12.210492+00:00"}