{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:JP2V2ZD3CNDDQBZVTFDGXWT7OP","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"7b84fe03f6371d1da13d444f1ac69d067346f6bfb04dfe220b564da47bba2d3f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2024-01-11T12:11:24Z","title_canon_sha256":"afce88c26f36599d9a88ac0c3d30ae569df7e6d4656df314e98fa8eb08e8419d"},"schema_version":"1.0","source":{"id":"2401.05860","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2401.05860","created_at":"2026-07-05T07:43:34Z"},{"alias_kind":"arxiv_version","alias_value":"2401.05860v2","created_at":"2026-07-05T07:43:34Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2401.05860","created_at":"2026-07-05T07:43:34Z"},{"alias_kind":"pith_short_12","alias_value":"JP2V2ZD3CNDD","created_at":"2026-07-05T07:43:34Z"},{"alias_kind":"pith_short_16","alias_value":"JP2V2ZD3CNDDQBZV","created_at":"2026-07-05T07:43:34Z"},{"alias_kind":"pith_short_8","alias_value":"JP2V2ZD3","created_at":"2026-07-05T07:43:34Z"}],"graph_snapshots":[{"event_id":"sha256:ea01c1e339cf8afe249645a88224c34ddf019b9e998dcbebe92595929c9175ce","target":"graph","created_at":"2026-07-05T07:43:34Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2401.05860/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"A wide range of real-world applications can be formulated as Multi-Agent Path Finding (MAPF) problem, where the goal is to find collision-free paths for multiple agents with individual start and goal locations. State-of-the-art MAPF solvers are mainly centralized and depend on global information, which limits their scalability and flexibility regarding changes or new maps that would require expensive replanning. Multi-agent reinforcement learning (MARL) offers an alternative way by learning decentralized policies that can generalize over a variety of maps. While there exist some prior works th","authors_text":"Joseph Driscoll, Justin Romberg, Sven Koenig, Thomy Phan","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2024-01-11T12:11:24Z","title":"Confidence-Based Curriculum Learning for Multi-Agent Path Finding"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2401.05860","kind":"arxiv","version":2},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:b29444585699045860b9dde0b846acd4b70e52573b10351413ff15c1f4c8f7ce","target":"record","created_at":"2026-07-05T07:43:34Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"7b84fe03f6371d1da13d444f1ac69d067346f6bfb04dfe220b564da47bba2d3f","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.MA","submitted_at":"2024-01-11T12:11:24Z","title_canon_sha256":"afce88c26f36599d9a88ac0c3d30ae569df7e6d4656df314e98fa8eb08e8419d"},"schema_version":"1.0","source":{"id":"2401.05860","kind":"arxiv","version":2}},"canonical_sha256":"4bf55d647b134638073599466bda7f73e224989bc184fffa728b6c9f2f649b5e","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"4bf55d647b134638073599466bda7f73e224989bc184fffa728b6c9f2f649b5e","first_computed_at":"2026-07-05T07:43:34.853630Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:43:34.853630Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"2j+kYEYdN1jK3uRP8XIfOCNmjSVX356cbNGWwgl98Zpr6eY56ktp/rAZzsMSGBZoMSFjF8ZrYc8UOthPL3WaBw==","signature_status":"signed_v1","signed_at":"2026-07-05T07:43:34.854051Z","signed_message":"canonical_sha256_bytes"},"source_id":"2401.05860","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:b29444585699045860b9dde0b846acd4b70e52573b10351413ff15c1f4c8f7ce","sha256:ea01c1e339cf8afe249645a88224c34ddf019b9e998dcbebe92595929c9175ce"],"state_sha256":"25e8832c87c07a2ff8b7b3e725e3947ff757ce37821e1c5d2867b7ceb0f49877"}