{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2012:7L4GQCM5D7R7FLIX5JUMKVKJRT","short_pith_number":"pith:7L4GQCM5","schema_version":"1.0","canonical_sha256":"faf868099d1fe3f2ad17ea68c555498ccb4e924f0d6e680316dff689a376332e","source":{"kind":"arxiv","id":"1301.0571","version":1},"attestation_state":"computed","paper":{"title":"Distributed Planning in Hierarchical Factored MDPs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Carlos E. Guestrin, Geoffrey Gordon","submitted_at":"2012-12-12T15:56:27Z","abstract_excerpt":"We present a principled and efficient planning algorithm for collaborative multiagent dynamical systems.  All computation, during both the planning and the execution phases, is distributed among the agents; each agent only needs to model and plan for a small part of the system.  Each of these local subsystems is small, but once they are combined they can represent an exponentially larger problem.  The subsystems are connected through a subsystem hierarchy.  Coordination and communication between the agents is not imposed, but derived directly from the structure of this hierarchy.  A globally c"},"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":"1301.0571","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2012-12-12T15:56:27Z","cross_cats_sorted":[],"title_canon_sha256":"9b0f8ba136c02fc577b767d368653eb5405fcb707837af35cbdebb3cdcd864fc","abstract_canon_sha256":"9f85d6cc69e68d818051dd27def35def82b4591fe1ef485b0cff30b271ecdf07"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T03:37:18.454852Z","signature_b64":"oUmQ6CFDiBQ+eA3/jiM56ZktD4BPy7JxdQnC6nr+XOoNgDRXbMLfeeFvVslSzlJGmdh3bwd6CM8p0C8NC89WAQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"faf868099d1fe3f2ad17ea68c555498ccb4e924f0d6e680316dff689a376332e","last_reissued_at":"2026-05-18T03:37:18.454158Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T03:37:18.454158Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Distributed Planning in Hierarchical Factored MDPs","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Carlos E. Guestrin, Geoffrey Gordon","submitted_at":"2012-12-12T15:56:27Z","abstract_excerpt":"We present a principled and efficient planning algorithm for collaborative multiagent dynamical systems.  All computation, during both the planning and the execution phases, is distributed among the agents; each agent only needs to model and plan for a small part of the system.  Each of these local subsystems is small, but once they are combined they can represent an exponentially larger problem.  The subsystems are connected through a subsystem hierarchy.  Coordination and communication between the agents is not imposed, but derived directly from the structure of this hierarchy.  A globally c"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1301.0571","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":""},"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":"1301.0571","created_at":"2026-05-18T03:37:18.454284+00:00"},{"alias_kind":"arxiv_version","alias_value":"1301.0571v1","created_at":"2026-05-18T03:37:18.454284+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1301.0571","created_at":"2026-05-18T03:37:18.454284+00:00"},{"alias_kind":"pith_short_12","alias_value":"7L4GQCM5D7R7","created_at":"2026-05-18T12:26:58.693483+00:00"},{"alias_kind":"pith_short_16","alias_value":"7L4GQCM5D7R7FLIX","created_at":"2026-05-18T12:26:58.693483+00:00"},{"alias_kind":"pith_short_8","alias_value":"7L4GQCM5","created_at":"2026-05-18T12:26:58.693483+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/7L4GQCM5D7R7FLIX5JUMKVKJRT","json":"https://pith.science/pith/7L4GQCM5D7R7FLIX5JUMKVKJRT.json","graph_json":"https://pith.science/api/pith-number/7L4GQCM5D7R7FLIX5JUMKVKJRT/graph.json","events_json":"https://pith.science/api/pith-number/7L4GQCM5D7R7FLIX5JUMKVKJRT/events.json","paper":"https://pith.science/paper/7L4GQCM5"},"agent_actions":{"view_html":"https://pith.science/pith/7L4GQCM5D7R7FLIX5JUMKVKJRT","download_json":"https://pith.science/pith/7L4GQCM5D7R7FLIX5JUMKVKJRT.json","view_paper":"https://pith.science/paper/7L4GQCM5","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1301.0571&json=true","fetch_graph":"https://pith.science/api/pith-number/7L4GQCM5D7R7FLIX5JUMKVKJRT/graph.json","fetch_events":"https://pith.science/api/pith-number/7L4GQCM5D7R7FLIX5JUMKVKJRT/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/7L4GQCM5D7R7FLIX5JUMKVKJRT/action/timestamp_anchor","attest_storage":"https://pith.science/pith/7L4GQCM5D7R7FLIX5JUMKVKJRT/action/storage_attestation","attest_author":"https://pith.science/pith/7L4GQCM5D7R7FLIX5JUMKVKJRT/action/author_attestation","sign_citation":"https://pith.science/pith/7L4GQCM5D7R7FLIX5JUMKVKJRT/action/citation_signature","submit_replication":"https://pith.science/pith/7L4GQCM5D7R7FLIX5JUMKVKJRT/action/replication_record"}},"created_at":"2026-05-18T03:37:18.454284+00:00","updated_at":"2026-05-18T03:37:18.454284+00:00"}