{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2011:PWGUT3VNSPGL4LGJPQUM4KYWKR","short_pith_number":"pith:PWGUT3VN","schema_version":"1.0","canonical_sha256":"7d8d49eead93ccbe2cc97c28ce2b165467b755b70dd0ed3de09c07e915f50aa0","source":{"kind":"arxiv","id":"1101.2279","version":1},"attestation_state":"computed","paper":{"title":"Planning with Partial Preference Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Alfonso Gerevini, Biplav Srivastava, Ivan Serina, Minh Do, Subbarao Kambhampati, Tuan Nguyen","submitted_at":"2011-01-12T06:40:42Z","abstract_excerpt":"Current work in planning with preferences assume that the user's preference models are completely specified and aim to search for a single solution plan. In many real-world planning scenarios, however, the user probably cannot provide any information about her desired plans, or in some cases can only express partial preferences. In such situations, the planner has to present not only one but a set of plans to the user, with the hope that some of them are similar to the plan she prefers. We first propose the usage of different measures to capture quality of plan sets that are suitable for such "},"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":"1101.2279","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2011-01-12T06:40:42Z","cross_cats_sorted":[],"title_canon_sha256":"707d4aa9bad5a68dea93e9d097429bb349d308325738c66b045e0b3149097f21","abstract_canon_sha256":"42e9dae215c6cdb35d0baa92d31fa93a9ffa93e41cc93353fc1bbb2bfb7052e1"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:22:58.473133Z","signature_b64":"7HlrCTisakggUbCkMR7aGJPUuvrec/UPIleJ+MMwwS4sWOBWLMmhVmBTmyutDsvAv95IXosQf6kuRegxuzr5Dg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"7d8d49eead93ccbe2cc97c28ce2b165467b755b70dd0ed3de09c07e915f50aa0","last_reissued_at":"2026-05-18T02:22:58.472576Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:22:58.472576Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Planning with Partial Preference Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Alfonso Gerevini, Biplav Srivastava, Ivan Serina, Minh Do, Subbarao Kambhampati, Tuan Nguyen","submitted_at":"2011-01-12T06:40:42Z","abstract_excerpt":"Current work in planning with preferences assume that the user's preference models are completely specified and aim to search for a single solution plan. In many real-world planning scenarios, however, the user probably cannot provide any information about her desired plans, or in some cases can only express partial preferences. In such situations, the planner has to present not only one but a set of plans to the user, with the hope that some of them are similar to the plan she prefers. We first propose the usage of different measures to capture quality of plan sets that are suitable for such "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1101.2279","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":"1101.2279","created_at":"2026-05-18T02:22:58.472641+00:00"},{"alias_kind":"arxiv_version","alias_value":"1101.2279v1","created_at":"2026-05-18T02:22:58.472641+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1101.2279","created_at":"2026-05-18T02:22:58.472641+00:00"},{"alias_kind":"pith_short_12","alias_value":"PWGUT3VNSPGL","created_at":"2026-05-18T12:26:39.201973+00:00"},{"alias_kind":"pith_short_16","alias_value":"PWGUT3VNSPGL4LGJ","created_at":"2026-05-18T12:26:39.201973+00:00"},{"alias_kind":"pith_short_8","alias_value":"PWGUT3VN","created_at":"2026-05-18T12:26:39.201973+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/PWGUT3VNSPGL4LGJPQUM4KYWKR","json":"https://pith.science/pith/PWGUT3VNSPGL4LGJPQUM4KYWKR.json","graph_json":"https://pith.science/api/pith-number/PWGUT3VNSPGL4LGJPQUM4KYWKR/graph.json","events_json":"https://pith.science/api/pith-number/PWGUT3VNSPGL4LGJPQUM4KYWKR/events.json","paper":"https://pith.science/paper/PWGUT3VN"},"agent_actions":{"view_html":"https://pith.science/pith/PWGUT3VNSPGL4LGJPQUM4KYWKR","download_json":"https://pith.science/pith/PWGUT3VNSPGL4LGJPQUM4KYWKR.json","view_paper":"https://pith.science/paper/PWGUT3VN","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1101.2279&json=true","fetch_graph":"https://pith.science/api/pith-number/PWGUT3VNSPGL4LGJPQUM4KYWKR/graph.json","fetch_events":"https://pith.science/api/pith-number/PWGUT3VNSPGL4LGJPQUM4KYWKR/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/PWGUT3VNSPGL4LGJPQUM4KYWKR/action/timestamp_anchor","attest_storage":"https://pith.science/pith/PWGUT3VNSPGL4LGJPQUM4KYWKR/action/storage_attestation","attest_author":"https://pith.science/pith/PWGUT3VNSPGL4LGJPQUM4KYWKR/action/author_attestation","sign_citation":"https://pith.science/pith/PWGUT3VNSPGL4LGJPQUM4KYWKR/action/citation_signature","submit_replication":"https://pith.science/pith/PWGUT3VNSPGL4LGJPQUM4KYWKR/action/replication_record"}},"created_at":"2026-05-18T02:22:58.472641+00:00","updated_at":"2026-05-18T02:22:58.472641+00:00"}