{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:MRYMWI4SB6GWJLFXWQBU46AHRT","short_pith_number":"pith:MRYMWI4S","canonical_record":{"source":{"id":"2312.17653","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-24T10:08:59Z","cross_cats_sorted":[],"title_canon_sha256":"e395f8fa5c0d2853ac24346358e3beb9fe6e4e4745e724180310613d9761b3f3","abstract_canon_sha256":"9c37b8204b89a06e0ad010719c82106fc61bcc7262112920e3e0c0ef46b4af59"},"schema_version":"1.0"},"canonical_sha256":"6470cb23920f8d64acb7b4034e78078cd28025ec74b5270d3f2d0b013c3c2470","source":{"kind":"arxiv","id":"2312.17653","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.17653","created_at":"2026-07-05T07:28:54Z"},{"alias_kind":"arxiv_version","alias_value":"2312.17653v1","created_at":"2026-07-05T07:28:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.17653","created_at":"2026-07-05T07:28:54Z"},{"alias_kind":"pith_short_12","alias_value":"MRYMWI4SB6GW","created_at":"2026-07-05T07:28:54Z"},{"alias_kind":"pith_short_16","alias_value":"MRYMWI4SB6GWJLFX","created_at":"2026-07-05T07:28:54Z"},{"alias_kind":"pith_short_8","alias_value":"MRYMWI4S","created_at":"2026-07-05T07:28:54Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:MRYMWI4SB6GWJLFXWQBU46AHRT","target":"record","payload":{"canonical_record":{"source":{"id":"2312.17653","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-24T10:08:59Z","cross_cats_sorted":[],"title_canon_sha256":"e395f8fa5c0d2853ac24346358e3beb9fe6e4e4745e724180310613d9761b3f3","abstract_canon_sha256":"9c37b8204b89a06e0ad010719c82106fc61bcc7262112920e3e0c0ef46b4af59"},"schema_version":"1.0"},"canonical_sha256":"6470cb23920f8d64acb7b4034e78078cd28025ec74b5270d3f2d0b013c3c2470","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:28:54.885697Z","signature_b64":"ML4kBB5Ctp3oj9rN8qOriv5BOf6QL5X0Fv1yKCWrFRdgY2J9EmjHC2kOumbijzujUdQmhNoi12hmQez+ucW5BQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"6470cb23920f8d64acb7b4034e78078cd28025ec74b5270d3f2d0b013c3c2470","last_reissued_at":"2026-07-05T07:28:54.885201Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:28:54.885201Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.17653","source_version":1,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:28:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3/gBeOsPBKHcu+KPBry5oVXHTJxpccHuIJ7I49c6A6+XaU30nJU5IAxQBvjJbDeCplARnMpz25+LHOnW3hQDDg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:15:25.241311Z"},"content_sha256":"50be38233c652c313ef4444c9bb8d2be36b9c96e529ab455bb5af85caa766164","schema_version":"1.0","event_id":"sha256:50be38233c652c313ef4444c9bb8d2be36b9c96e529ab455bb5af85caa766164"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:MRYMWI4SB6GWJLFXWQBU46AHRT","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"LARP: Language-Agent Role Play for Open-World Games","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Hao Wang, Hao Zhang, Ji Yan, Ming Yan, RuiHao Li, Zhilan Yang","submitted_at":"2023-12-24T10:08:59Z","abstract_excerpt":"Language agents have shown impressive problem-solving skills within defined settings and brief timelines. Yet, with the ever-evolving complexities of open-world simulations, there's a pressing need for agents that can flexibly adapt to complex environments and consistently maintain a long-term memory to ensure coherent actions. To bridge the gap between language agents and open-world games, we introduce Language Agent for Role-Playing (LARP), which includes a cognitive architecture that encompasses memory processing and a decision-making assistant, an environment interaction module with a feed"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.17653","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":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2312.17653/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"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"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:28:54Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"9t8v2fUeCU9No62qsJ6jGMWczf5j3MGaQdcLN6PZfXsGrtN6KoduYXUvl9bde6OfNthkuS5KFb70IXrNng2BCw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-09T04:15:25.242246Z"},"content_sha256":"a80c578852b3812149f4cd2f123c4bc949ffed741dfa7cbbc3a6c8a996a6e3af","schema_version":"1.0","event_id":"sha256:a80c578852b3812149f4cd2f123c4bc949ffed741dfa7cbbc3a6c8a996a6e3af"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/MRYMWI4SB6GWJLFXWQBU46AHRT/bundle.json","state_url":"https://pith.science/pith/MRYMWI4SB6GWJLFXWQBU46AHRT/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/MRYMWI4SB6GWJLFXWQBU46AHRT/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-09T04:15:25Z","links":{"resolver":"https://pith.science/pith/MRYMWI4SB6GWJLFXWQBU46AHRT","bundle":"https://pith.science/pith/MRYMWI4SB6GWJLFXWQBU46AHRT/bundle.json","state":"https://pith.science/pith/MRYMWI4SB6GWJLFXWQBU46AHRT/state.json","well_known_bundle":"https://pith.science/.well-known/pith/MRYMWI4SB6GWJLFXWQBU46AHRT/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:MRYMWI4SB6GWJLFXWQBU46AHRT","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":"9c37b8204b89a06e0ad010719c82106fc61bcc7262112920e3e0c0ef46b4af59","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-24T10:08:59Z","title_canon_sha256":"e395f8fa5c0d2853ac24346358e3beb9fe6e4e4745e724180310613d9761b3f3"},"schema_version":"1.0","source":{"id":"2312.17653","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.17653","created_at":"2026-07-05T07:28:54Z"},{"alias_kind":"arxiv_version","alias_value":"2312.17653v1","created_at":"2026-07-05T07:28:54Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.17653","created_at":"2026-07-05T07:28:54Z"},{"alias_kind":"pith_short_12","alias_value":"MRYMWI4SB6GW","created_at":"2026-07-05T07:28:54Z"},{"alias_kind":"pith_short_16","alias_value":"MRYMWI4SB6GWJLFX","created_at":"2026-07-05T07:28:54Z"},{"alias_kind":"pith_short_8","alias_value":"MRYMWI4S","created_at":"2026-07-05T07:28:54Z"}],"graph_snapshots":[{"event_id":"sha256:a80c578852b3812149f4cd2f123c4bc949ffed741dfa7cbbc3a6c8a996a6e3af","target":"graph","created_at":"2026-07-05T07:28:54Z","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/2312.17653/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Language agents have shown impressive problem-solving skills within defined settings and brief timelines. Yet, with the ever-evolving complexities of open-world simulations, there's a pressing need for agents that can flexibly adapt to complex environments and consistently maintain a long-term memory to ensure coherent actions. To bridge the gap between language agents and open-world games, we introduce Language Agent for Role-Playing (LARP), which includes a cognitive architecture that encompasses memory processing and a decision-making assistant, an environment interaction module with a feed","authors_text":"Hao Wang, Hao Zhang, Ji Yan, Ming Yan, RuiHao Li, Zhilan Yang","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-24T10:08:59Z","title":"LARP: Language-Agent Role Play for Open-World Games"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.17653","kind":"arxiv","version":1},"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":"sha256:50be38233c652c313ef4444c9bb8d2be36b9c96e529ab455bb5af85caa766164","target":"record","created_at":"2026-07-05T07:28:54Z","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":"9c37b8204b89a06e0ad010719c82106fc61bcc7262112920e3e0c0ef46b4af59","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.AI","submitted_at":"2023-12-24T10:08:59Z","title_canon_sha256":"e395f8fa5c0d2853ac24346358e3beb9fe6e4e4745e724180310613d9761b3f3"},"schema_version":"1.0","source":{"id":"2312.17653","kind":"arxiv","version":1}},"canonical_sha256":"6470cb23920f8d64acb7b4034e78078cd28025ec74b5270d3f2d0b013c3c2470","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"6470cb23920f8d64acb7b4034e78078cd28025ec74b5270d3f2d0b013c3c2470","first_computed_at":"2026-07-05T07:28:54.885201Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:28:54.885201Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ML4kBB5Ctp3oj9rN8qOriv5BOf6QL5X0Fv1yKCWrFRdgY2J9EmjHC2kOumbijzujUdQmhNoi12hmQez+ucW5BQ==","signature_status":"signed_v1","signed_at":"2026-07-05T07:28:54.885697Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.17653","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:50be38233c652c313ef4444c9bb8d2be36b9c96e529ab455bb5af85caa766164","sha256:a80c578852b3812149f4cd2f123c4bc949ffed741dfa7cbbc3a6c8a996a6e3af"],"state_sha256":"3d11f4fa6d30b3f1697b7e5668af5b42c1b7bd7a803d3e56870ac14c9c3987c9"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BjwxCacV+KnFujlWyPHwGn2BDxP48xU0fShv4uHL3hkFnOZdrVsLc9GowYpezjR80vOXXGPnqpMkSTNM1mo6Cg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-09T04:15:25.248882Z","bundle_sha256":"f04e69deb8267a8ed940cbeb2645ba6cf06d9ed12523fc2e2710d347745de2a0"}}