{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2026:EK2UK3WQCPLHFRTWQK3UFI5GWE","short_pith_number":"pith:EK2UK3WQ","schema_version":"1.0","canonical_sha256":"22b5456ed013d672c67682b742a3a6b123d7a0afb73bbf845a92a65f78700f7e","source":{"kind":"arxiv","id":"2607.10986","version":1},"attestation_state":"computed","paper":{"title":"Capture, Shield, or Neutralize: Engagement-Aware Pursuit-Evasion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Adrian Stoica, Ananya Acharya, Masoud Ataei, Mohammad Javad Khojasteh, Trenton Goyette, Vikas Dhiman","submitted_at":"2026-07-13T01:18:46Z","abstract_excerpt":"This paper introduces a hierarchical control architecture for multi-agent adversarial environments, decoupling strategic task planning from rigorous safety assurance. The system formulates pursuit-evasion as a zero-sum receding-horizon game, solved via an iterative minimax \\acl{mpc} scheme. This allows pursuers to anticipate and block evader trajectories using transverse velocity penalties rather than relying on reactive heuristic formations. To guarantee collision-free operation without compromising the convexity of the \\acl{mpc}, a discrete-time \\acl{cbf} operates as an inner-loop safety fil"},"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":"2607.10986","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"eess.SY","submitted_at":"2026-07-13T01:18:46Z","cross_cats_sorted":["cs.SY"],"title_canon_sha256":"4504254a22f303dc41e13f54401241aecd767a10956d91c95e83d507f6c3f1be","abstract_canon_sha256":"631e498dd89d4ec9951d94a75c95a9c2a9a66c51f399415927cb56bd5edb9974"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-14T01:21:50.977472Z","signature_b64":"GXQ60dhC2BqUltIYgNk1N4pCD1speqp5x59VSkNYpVgkhdztBqi84Aj6UJbtNvtAB/ChCEHlhOxKm/f6vUODAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"22b5456ed013d672c67682b742a3a6b123d7a0afb73bbf845a92a65f78700f7e","last_reissued_at":"2026-07-14T01:21:50.976566Z","signature_status":"signed_v1","first_computed_at":"2026-07-14T01:21:50.976566Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Capture, Shield, or Neutralize: Engagement-Aware Pursuit-Evasion","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["cs.SY"],"primary_cat":"eess.SY","authors_text":"Adrian Stoica, Ananya Acharya, Masoud Ataei, Mohammad Javad Khojasteh, Trenton Goyette, Vikas Dhiman","submitted_at":"2026-07-13T01:18:46Z","abstract_excerpt":"This paper introduces a hierarchical control architecture for multi-agent adversarial environments, decoupling strategic task planning from rigorous safety assurance. The system formulates pursuit-evasion as a zero-sum receding-horizon game, solved via an iterative minimax \\acl{mpc} scheme. This allows pursuers to anticipate and block evader trajectories using transverse velocity penalties rather than relying on reactive heuristic formations. To guarantee collision-free operation without compromising the convexity of the \\acl{mpc}, a discrete-time \\acl{cbf} operates as an inner-loop safety fil"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2607.10986","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/2607.10986/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":"2607.10986","created_at":"2026-07-14T01:21:50.977034+00:00"},{"alias_kind":"arxiv_version","alias_value":"2607.10986v1","created_at":"2026-07-14T01:21:50.977034+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2607.10986","created_at":"2026-07-14T01:21:50.977034+00:00"},{"alias_kind":"pith_short_12","alias_value":"EK2UK3WQCPLH","created_at":"2026-07-14T01:21:50.977034+00:00"},{"alias_kind":"pith_short_16","alias_value":"EK2UK3WQCPLHFRTW","created_at":"2026-07-14T01:21:50.977034+00:00"},{"alias_kind":"pith_short_8","alias_value":"EK2UK3WQ","created_at":"2026-07-14T01:21:50.977034+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/EK2UK3WQCPLHFRTWQK3UFI5GWE","json":"https://pith.science/pith/EK2UK3WQCPLHFRTWQK3UFI5GWE.json","graph_json":"https://pith.science/api/pith-number/EK2UK3WQCPLHFRTWQK3UFI5GWE/graph.json","events_json":"https://pith.science/api/pith-number/EK2UK3WQCPLHFRTWQK3UFI5GWE/events.json","paper":"https://pith.science/paper/EK2UK3WQ"},"agent_actions":{"view_html":"https://pith.science/pith/EK2UK3WQCPLHFRTWQK3UFI5GWE","download_json":"https://pith.science/pith/EK2UK3WQCPLHFRTWQK3UFI5GWE.json","view_paper":"https://pith.science/paper/EK2UK3WQ","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2607.10986&json=true","fetch_graph":"https://pith.science/api/pith-number/EK2UK3WQCPLHFRTWQK3UFI5GWE/graph.json","fetch_events":"https://pith.science/api/pith-number/EK2UK3WQCPLHFRTWQK3UFI5GWE/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/EK2UK3WQCPLHFRTWQK3UFI5GWE/action/timestamp_anchor","attest_storage":"https://pith.science/pith/EK2UK3WQCPLHFRTWQK3UFI5GWE/action/storage_attestation","attest_author":"https://pith.science/pith/EK2UK3WQCPLHFRTWQK3UFI5GWE/action/author_attestation","sign_citation":"https://pith.science/pith/EK2UK3WQCPLHFRTWQK3UFI5GWE/action/citation_signature","submit_replication":"https://pith.science/pith/EK2UK3WQCPLHFRTWQK3UFI5GWE/action/replication_record"}},"created_at":"2026-07-14T01:21:50.977034+00:00","updated_at":"2026-07-14T01:21:50.977034+00:00"}