{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2024:KHKEMLB2MINDYU7I45HMTPBE3V","short_pith_number":"pith:KHKEMLB2","schema_version":"1.0","canonical_sha256":"51d4462c3a621a3c53e8e74ec9bc24dd751d35d1c7d267e38fe8a23ac8a66474","source":{"kind":"arxiv","id":"2403.19375","version":1},"attestation_state":"computed","paper":{"title":"Multi-Agent Team Access Monitoring: Environments that Benefit from Target Information Sharing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MA"],"primary_cat":"cs.RO","authors_text":"Andrew Dudash, Ryan Rubel, Scott James","submitted_at":"2024-03-28T12:37:11Z","abstract_excerpt":"Robotic access monitoring of multiple target areas has applications including checkpoint enforcement, surveillance and containment of fire and flood hazards. Monitoring access for a single target region has been successfully modeled as a minimum-cut problem. We generalize this model to support multiple target areas using two approaches: iterating on individual targets and examining the collections of targets holistically. Through simulation we measure the performance of each approach on different scenarios."},"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":"2403.19375","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.RO","submitted_at":"2024-03-28T12:37:11Z","cross_cats_sorted":["cs.MA"],"title_canon_sha256":"7b62f16c588de080f49ca8fefaa7c8d2f20e1465a41df84d91489b47711c6932","abstract_canon_sha256":"f25fc896ef9652c02213c04996494bd4c2ed6bc6c472586f82e1e46d090c05d0"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:01:48.431374Z","signature_b64":"YKn0KfviDdByRQZBDUnlvp3v2hegZzBWR4KtMwyVgnLxrCFNhPze6NlPrKUpnMUyC0HtPls8cviNN6ACO8TSDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"51d4462c3a621a3c53e8e74ec9bc24dd751d35d1c7d267e38fe8a23ac8a66474","last_reissued_at":"2026-07-05T08:01:48.430968Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:01:48.430968Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Multi-Agent Team Access Monitoring: Environments that Benefit from Target Information Sharing","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.MA"],"primary_cat":"cs.RO","authors_text":"Andrew Dudash, Ryan Rubel, Scott James","submitted_at":"2024-03-28T12:37:11Z","abstract_excerpt":"Robotic access monitoring of multiple target areas has applications including checkpoint enforcement, surveillance and containment of fire and flood hazards. Monitoring access for a single target region has been successfully modeled as a minimum-cut problem. We generalize this model to support multiple target areas using two approaches: iterating on individual targets and examining the collections of targets holistically. Through simulation we measure the performance of each approach on different scenarios."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2403.19375","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/2403.19375/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":"2403.19375","created_at":"2026-07-05T08:01:48.431024+00:00"},{"alias_kind":"arxiv_version","alias_value":"2403.19375v1","created_at":"2026-07-05T08:01:48.431024+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2403.19375","created_at":"2026-07-05T08:01:48.431024+00:00"},{"alias_kind":"pith_short_12","alias_value":"KHKEMLB2MIND","created_at":"2026-07-05T08:01:48.431024+00:00"},{"alias_kind":"pith_short_16","alias_value":"KHKEMLB2MINDYU7I","created_at":"2026-07-05T08:01:48.431024+00:00"},{"alias_kind":"pith_short_8","alias_value":"KHKEMLB2","created_at":"2026-07-05T08:01:48.431024+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/KHKEMLB2MINDYU7I45HMTPBE3V","json":"https://pith.science/pith/KHKEMLB2MINDYU7I45HMTPBE3V.json","graph_json":"https://pith.science/api/pith-number/KHKEMLB2MINDYU7I45HMTPBE3V/graph.json","events_json":"https://pith.science/api/pith-number/KHKEMLB2MINDYU7I45HMTPBE3V/events.json","paper":"https://pith.science/paper/KHKEMLB2"},"agent_actions":{"view_html":"https://pith.science/pith/KHKEMLB2MINDYU7I45HMTPBE3V","download_json":"https://pith.science/pith/KHKEMLB2MINDYU7I45HMTPBE3V.json","view_paper":"https://pith.science/paper/KHKEMLB2","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=2403.19375&json=true","fetch_graph":"https://pith.science/api/pith-number/KHKEMLB2MINDYU7I45HMTPBE3V/graph.json","fetch_events":"https://pith.science/api/pith-number/KHKEMLB2MINDYU7I45HMTPBE3V/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/KHKEMLB2MINDYU7I45HMTPBE3V/action/timestamp_anchor","attest_storage":"https://pith.science/pith/KHKEMLB2MINDYU7I45HMTPBE3V/action/storage_attestation","attest_author":"https://pith.science/pith/KHKEMLB2MINDYU7I45HMTPBE3V/action/author_attestation","sign_citation":"https://pith.science/pith/KHKEMLB2MINDYU7I45HMTPBE3V/action/citation_signature","submit_replication":"https://pith.science/pith/KHKEMLB2MINDYU7I45HMTPBE3V/action/replication_record"}},"created_at":"2026-07-05T08:01:48.431024+00:00","updated_at":"2026-07-05T08:01:48.431024+00:00"}