{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2014:IKEYKRIHNSJ57HKNSDPC3AM75T","short_pith_number":"pith:IKEYKRIH","schema_version":"1.0","canonical_sha256":"42898545076c93df9d4d90de2d819feceb2e883dc413840e9bb57b5f2c9207d1","source":{"kind":"arxiv","id":"1403.4134","version":3},"attestation_state":"computed","paper":{"title":"Probabilistic and Distributed Control of a Large-Scale Swarm of Autonomous Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.PR","math.ST","stat.TH"],"primary_cat":"math.OC","authors_text":"Fred Y. Hadaegh, Saptarshi Bandyopadhyay, Soon-Jo Chung","submitted_at":"2014-03-17T15:42:37Z","abstract_excerpt":"We present a novel method for guiding a large-scale swarm of autonomous agents into a desired formation shape in a distributed and scalable manner. Our Probabilistic Swarm Guidance using Inhomogeneous Markov Chains (PSG-IMC) algorithm adopts an Eulerian framework, where the physical space is partitioned into bins and the swarm's density distribution over each bin is controlled. Each agent determines its bin transition probabilities using a time-inhomogeneous Markov chain. These time-varying Markov matrices are constructed by each agent in real-time using the feedback from the current swarm dis"},"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":"1403.4134","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"math.OC","submitted_at":"2014-03-17T15:42:37Z","cross_cats_sorted":["math.PR","math.ST","stat.TH"],"title_canon_sha256":"91b4cbde77b4d4ed5baaf208ba48c2f1ef5dbe3cbeb299df4f78a77f2816979c","abstract_canon_sha256":"8d5fc30c33ed69fd1c2b3b6586a54d1d819e892a23061be809b5eff546421978"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T01:05:13.002596Z","signature_b64":"OarS4yFbqFKJshSyG7io3I8Sf7S5wBN7lT5dxFsoaQYhzaRngeUs5x57CLI24dwZIGF5jITadOTZ7It1/5ivDg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"42898545076c93df9d4d90de2d819feceb2e883dc413840e9bb57b5f2c9207d1","last_reissued_at":"2026-05-18T01:05:13.002002Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T01:05:13.002002Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Probabilistic and Distributed Control of a Large-Scale Swarm of Autonomous Agents","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["math.PR","math.ST","stat.TH"],"primary_cat":"math.OC","authors_text":"Fred Y. Hadaegh, Saptarshi Bandyopadhyay, Soon-Jo Chung","submitted_at":"2014-03-17T15:42:37Z","abstract_excerpt":"We present a novel method for guiding a large-scale swarm of autonomous agents into a desired formation shape in a distributed and scalable manner. Our Probabilistic Swarm Guidance using Inhomogeneous Markov Chains (PSG-IMC) algorithm adopts an Eulerian framework, where the physical space is partitioned into bins and the swarm's density distribution over each bin is controlled. Each agent determines its bin transition probabilities using a time-inhomogeneous Markov chain. These time-varying Markov matrices are constructed by each agent in real-time using the feedback from the current swarm dis"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1403.4134","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"1403.4134","created_at":"2026-05-18T01:05:13.002109+00:00"},{"alias_kind":"arxiv_version","alias_value":"1403.4134v3","created_at":"2026-05-18T01:05:13.002109+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1403.4134","created_at":"2026-05-18T01:05:13.002109+00:00"},{"alias_kind":"pith_short_12","alias_value":"IKEYKRIHNSJ5","created_at":"2026-05-18T12:28:33.132498+00:00"},{"alias_kind":"pith_short_16","alias_value":"IKEYKRIHNSJ57HKN","created_at":"2026-05-18T12:28:33.132498+00:00"},{"alias_kind":"pith_short_8","alias_value":"IKEYKRIH","created_at":"2026-05-18T12:28:33.132498+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/IKEYKRIHNSJ57HKNSDPC3AM75T","json":"https://pith.science/pith/IKEYKRIHNSJ57HKNSDPC3AM75T.json","graph_json":"https://pith.science/api/pith-number/IKEYKRIHNSJ57HKNSDPC3AM75T/graph.json","events_json":"https://pith.science/api/pith-number/IKEYKRIHNSJ57HKNSDPC3AM75T/events.json","paper":"https://pith.science/paper/IKEYKRIH"},"agent_actions":{"view_html":"https://pith.science/pith/IKEYKRIHNSJ57HKNSDPC3AM75T","download_json":"https://pith.science/pith/IKEYKRIHNSJ57HKNSDPC3AM75T.json","view_paper":"https://pith.science/paper/IKEYKRIH","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1403.4134&json=true","fetch_graph":"https://pith.science/api/pith-number/IKEYKRIHNSJ57HKNSDPC3AM75T/graph.json","fetch_events":"https://pith.science/api/pith-number/IKEYKRIHNSJ57HKNSDPC3AM75T/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/IKEYKRIHNSJ57HKNSDPC3AM75T/action/timestamp_anchor","attest_storage":"https://pith.science/pith/IKEYKRIHNSJ57HKNSDPC3AM75T/action/storage_attestation","attest_author":"https://pith.science/pith/IKEYKRIHNSJ57HKNSDPC3AM75T/action/author_attestation","sign_citation":"https://pith.science/pith/IKEYKRIHNSJ57HKNSDPC3AM75T/action/citation_signature","submit_replication":"https://pith.science/pith/IKEYKRIHNSJ57HKNSDPC3AM75T/action/replication_record"}},"created_at":"2026-05-18T01:05:13.002109+00:00","updated_at":"2026-05-18T01:05:13.002109+00:00"}