{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2015:SHRXQQGLRVWYBIFLS6ZBIGMAPY","short_pith_number":"pith:SHRXQQGL","schema_version":"1.0","canonical_sha256":"91e37840cb8d6d80a0ab97b21419807e35c5cecf78b4ff053ba3fc1c5b3f4c7b","source":{"kind":"arxiv","id":"1505.07263","version":1},"attestation_state":"computed","paper":{"title":"Qsmodels: ASP Planning in Interactive Gaming Environment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Alessandro Provetti, Luca Padovani","submitted_at":"2015-05-27T10:58:03Z","abstract_excerpt":"Qsmodels is a novel application of Answer Set Programming to interactive gaming environment. We describe a software architecture by which the behavior of a bot acting inside the Quake 3 Arena can be controlled by a planner. The planner is written as an Answer Set Program and is interpreted by the Smodels solver."},"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":"1505.07263","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2015-05-27T10:58:03Z","cross_cats_sorted":[],"title_canon_sha256":"527a9401995b06c712612b7c6e6649beb575b07405578bc2c625e6cc632f1640","abstract_canon_sha256":"6d00c525cb78a068f1fb9d62ec71b95a902dc294a56e283f79985c74f4542068"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T02:02:05.127773Z","signature_b64":"WkmDSYDf8t9BT+trI/UmQmNw58xg+ncyGI+lYIDYMIfl+PIqh9jmAGV5b1iYBbIibfWWFe9TYGQ1l72tYHfmBw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"91e37840cb8d6d80a0ab97b21419807e35c5cecf78b4ff053ba3fc1c5b3f4c7b","last_reissued_at":"2026-05-18T02:02:05.126857Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T02:02:05.126857Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Qsmodels: ASP Planning in Interactive Gaming Environment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Alessandro Provetti, Luca Padovani","submitted_at":"2015-05-27T10:58:03Z","abstract_excerpt":"Qsmodels is a novel application of Answer Set Programming to interactive gaming environment. We describe a software architecture by which the behavior of a bot acting inside the Quake 3 Arena can be controlled by a planner. The planner is written as an Answer Set Program and is interpreted by the Smodels solver."},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1505.07263","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":"1505.07263","created_at":"2026-05-18T02:02:05.127126+00:00"},{"alias_kind":"arxiv_version","alias_value":"1505.07263v1","created_at":"2026-05-18T02:02:05.127126+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1505.07263","created_at":"2026-05-18T02:02:05.127126+00:00"},{"alias_kind":"pith_short_12","alias_value":"SHRXQQGLRVWY","created_at":"2026-05-18T12:29:42.218222+00:00"},{"alias_kind":"pith_short_16","alias_value":"SHRXQQGLRVWYBIFL","created_at":"2026-05-18T12:29:42.218222+00:00"},{"alias_kind":"pith_short_8","alias_value":"SHRXQQGL","created_at":"2026-05-18T12:29:42.218222+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/SHRXQQGLRVWYBIFLS6ZBIGMAPY","json":"https://pith.science/pith/SHRXQQGLRVWYBIFLS6ZBIGMAPY.json","graph_json":"https://pith.science/api/pith-number/SHRXQQGLRVWYBIFLS6ZBIGMAPY/graph.json","events_json":"https://pith.science/api/pith-number/SHRXQQGLRVWYBIFLS6ZBIGMAPY/events.json","paper":"https://pith.science/paper/SHRXQQGL"},"agent_actions":{"view_html":"https://pith.science/pith/SHRXQQGLRVWYBIFLS6ZBIGMAPY","download_json":"https://pith.science/pith/SHRXQQGLRVWYBIFLS6ZBIGMAPY.json","view_paper":"https://pith.science/paper/SHRXQQGL","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1505.07263&json=true","fetch_graph":"https://pith.science/api/pith-number/SHRXQQGLRVWYBIFLS6ZBIGMAPY/graph.json","fetch_events":"https://pith.science/api/pith-number/SHRXQQGLRVWYBIFLS6ZBIGMAPY/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/SHRXQQGLRVWYBIFLS6ZBIGMAPY/action/timestamp_anchor","attest_storage":"https://pith.science/pith/SHRXQQGLRVWYBIFLS6ZBIGMAPY/action/storage_attestation","attest_author":"https://pith.science/pith/SHRXQQGLRVWYBIFLS6ZBIGMAPY/action/author_attestation","sign_citation":"https://pith.science/pith/SHRXQQGLRVWYBIFLS6ZBIGMAPY/action/citation_signature","submit_replication":"https://pith.science/pith/SHRXQQGLRVWYBIFLS6ZBIGMAPY/action/replication_record"}},"created_at":"2026-05-18T02:02:05.127126+00:00","updated_at":"2026-05-18T02:02:05.127126+00:00"}