{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:642FGJ7KMGCFPRS5MFIPELKE47","short_pith_number":"pith:642FGJ7K","canonical_record":{"source":{"id":"2408.11826","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2024-08-05T13:39:03Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"dd06463c5fc1378333e28f1094c3504f80fbc8f990c788b1e649c38fa0ef39d6","abstract_canon_sha256":"fcccf2fe39f9addde78e10b9ff5908ff5f8687bbcbbc0fd37db76b03e5e9f4a5"},"schema_version":"1.0"},"canonical_sha256":"f7345327ea618457c65d6150f22d44e7c3f40423dfc4206cfe57ed256ef13a11","source":{"kind":"arxiv","id":"2408.11826","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.11826","created_at":"2026-07-05T08:57:59Z"},{"alias_kind":"arxiv_version","alias_value":"2408.11826v1","created_at":"2026-07-05T08:57:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.11826","created_at":"2026-07-05T08:57:59Z"},{"alias_kind":"pith_short_12","alias_value":"642FGJ7KMGCF","created_at":"2026-07-05T08:57:59Z"},{"alias_kind":"pith_short_16","alias_value":"642FGJ7KMGCFPRS5","created_at":"2026-07-05T08:57:59Z"},{"alias_kind":"pith_short_8","alias_value":"642FGJ7K","created_at":"2026-07-05T08:57:59Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:642FGJ7KMGCFPRS5MFIPELKE47","target":"record","payload":{"canonical_record":{"source":{"id":"2408.11826","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2024-08-05T13:39:03Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"dd06463c5fc1378333e28f1094c3504f80fbc8f990c788b1e649c38fa0ef39d6","abstract_canon_sha256":"fcccf2fe39f9addde78e10b9ff5908ff5f8687bbcbbc0fd37db76b03e5e9f4a5"},"schema_version":"1.0"},"canonical_sha256":"f7345327ea618457c65d6150f22d44e7c3f40423dfc4206cfe57ed256ef13a11","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:57:59.774506Z","signature_b64":"qAaz248vZ13EuY5RIhNv3ppJEgKBWmYt87hX8EwF/oP1nnUEBNOktwZtgTbYC4K62GE+VktypvWV2dbaI9DhDw==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"f7345327ea618457c65d6150f22d44e7c3f40423dfc4206cfe57ed256ef13a11","last_reissued_at":"2026-07-05T08:57:59.774020Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:57:59.774020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2408.11826","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":"2026-07-05T08:57:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"vVHI8Vy40fh50fEer2DOQiJ7os9qXY4uRhuZUKk/QclD262etnWG3X+Ya+ua8vdacA0cMYcW9MW9SbxHdcYACA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T14:15:14.056651Z"},"content_sha256":"360f64abe803dbb0c029775502ffe53d247b0534fa0a1da9b0336b38b0d3e980","schema_version":"1.0","event_id":"sha256:360f64abe803dbb0c029775502ffe53d247b0534fa0a1da9b0336b38b0d3e980"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:642FGJ7KMGCFPRS5MFIPELKE47","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Generative Organizational Behavior Simulation using Large Language Model based Autonomous Agents: A Holacracy Perspective","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CY","authors_text":"Chen Zhu, Hengshu Zhu, Jingshuai Zhang, Sitao Xia, Yihang Cheng, Yusheng Qiu","submitted_at":"2024-08-05T13:39:03Z","abstract_excerpt":"In this paper, we present the technical details and periodic findings of our project, CareerAgent, which aims to build a generative simulation framework for a Holacracy organization using Large Language Model-based Autonomous Agents. Specifically, the simulation framework includes three phases: construction, execution, and evaluation, and it incorporates basic characteristics of individuals, organizations, tasks, and meetings. Through our simulation, we obtained several interesting findings. At the organizational level, an increase in the average values of management competence and functional "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.11826","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/2408.11826/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":"2026-07-05T08:57:59Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"CCbm0k5flfoAutTQ8noNzR1tjrcHH2nLaYzfXdzt/nFL9UT1+jnyNdPm2JQ22Gb1yvLYVdl1uyoG+peSS7KXAg==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-06T14:15:14.056987Z"},"content_sha256":"6fc95b4bb15739a47db74ba3cf5b40d0ed6a9d7aa9fc695706460edf21357faf","schema_version":"1.0","event_id":"sha256:6fc95b4bb15739a47db74ba3cf5b40d0ed6a9d7aa9fc695706460edf21357faf"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/642FGJ7KMGCFPRS5MFIPELKE47/bundle.json","state_url":"https://pith.science/pith/642FGJ7KMGCFPRS5MFIPELKE47/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/642FGJ7KMGCFPRS5MFIPELKE47/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":"2026-08-06T14:15:14Z","links":{"resolver":"https://pith.science/pith/642FGJ7KMGCFPRS5MFIPELKE47","bundle":"https://pith.science/pith/642FGJ7KMGCFPRS5MFIPELKE47/bundle.json","state":"https://pith.science/pith/642FGJ7KMGCFPRS5MFIPELKE47/state.json","well_known_bundle":"https://pith.science/.well-known/pith/642FGJ7KMGCFPRS5MFIPELKE47/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:642FGJ7KMGCFPRS5MFIPELKE47","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":"fcccf2fe39f9addde78e10b9ff5908ff5f8687bbcbbc0fd37db76b03e5e9f4a5","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2024-08-05T13:39:03Z","title_canon_sha256":"dd06463c5fc1378333e28f1094c3504f80fbc8f990c788b1e649c38fa0ef39d6"},"schema_version":"1.0","source":{"id":"2408.11826","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2408.11826","created_at":"2026-07-05T08:57:59Z"},{"alias_kind":"arxiv_version","alias_value":"2408.11826v1","created_at":"2026-07-05T08:57:59Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2408.11826","created_at":"2026-07-05T08:57:59Z"},{"alias_kind":"pith_short_12","alias_value":"642FGJ7KMGCF","created_at":"2026-07-05T08:57:59Z"},{"alias_kind":"pith_short_16","alias_value":"642FGJ7KMGCFPRS5","created_at":"2026-07-05T08:57:59Z"},{"alias_kind":"pith_short_8","alias_value":"642FGJ7K","created_at":"2026-07-05T08:57:59Z"}],"graph_snapshots":[{"event_id":"sha256:6fc95b4bb15739a47db74ba3cf5b40d0ed6a9d7aa9fc695706460edf21357faf","target":"graph","created_at":"2026-07-05T08:57:59Z","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/2408.11826/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"In this paper, we present the technical details and periodic findings of our project, CareerAgent, which aims to build a generative simulation framework for a Holacracy organization using Large Language Model-based Autonomous Agents. Specifically, the simulation framework includes three phases: construction, execution, and evaluation, and it incorporates basic characteristics of individuals, organizations, tasks, and meetings. Through our simulation, we obtained several interesting findings. At the organizational level, an increase in the average values of management competence and functional ","authors_text":"Chen Zhu, Hengshu Zhu, Jingshuai Zhang, Sitao Xia, Yihang Cheng, Yusheng Qiu","cross_cats":["cs.AI"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2024-08-05T13:39:03Z","title":"Generative Organizational Behavior Simulation using Large Language Model based Autonomous Agents: A Holacracy Perspective"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2408.11826","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":"sha256:360f64abe803dbb0c029775502ffe53d247b0534fa0a1da9b0336b38b0d3e980","target":"record","created_at":"2026-07-05T08:57:59Z","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":"fcccf2fe39f9addde78e10b9ff5908ff5f8687bbcbbc0fd37db76b03e5e9f4a5","cross_cats_sorted":["cs.AI"],"license":"http://creativecommons.org/licenses/by-nc-nd/4.0/","primary_cat":"cs.CY","submitted_at":"2024-08-05T13:39:03Z","title_canon_sha256":"dd06463c5fc1378333e28f1094c3504f80fbc8f990c788b1e649c38fa0ef39d6"},"schema_version":"1.0","source":{"id":"2408.11826","kind":"arxiv","version":1}},"canonical_sha256":"f7345327ea618457c65d6150f22d44e7c3f40423dfc4206cfe57ed256ef13a11","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"f7345327ea618457c65d6150f22d44e7c3f40423dfc4206cfe57ed256ef13a11","first_computed_at":"2026-07-05T08:57:59.774020Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:57:59.774020Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"qAaz248vZ13EuY5RIhNv3ppJEgKBWmYt87hX8EwF/oP1nnUEBNOktwZtgTbYC4K62GE+VktypvWV2dbaI9DhDw==","signature_status":"signed_v1","signed_at":"2026-07-05T08:57:59.774506Z","signed_message":"canonical_sha256_bytes"},"source_id":"2408.11826","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:360f64abe803dbb0c029775502ffe53d247b0534fa0a1da9b0336b38b0d3e980","sha256:6fc95b4bb15739a47db74ba3cf5b40d0ed6a9d7aa9fc695706460edf21357faf"],"state_sha256":"b0d14cacf54241bf656315751d2d9661204a1c69d882f8ef0d92a989854c3299"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"6KWz67e8cSxCAveHe3sYz5sgCPhOTktvavWRGZWrcwxRr9FM5xl3IiTBqGHMLo2f6OBuAz5LR5c6epCJL24mCg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-06T14:15:14.060719Z","bundle_sha256":"b420b28dc7357dc6d5ff6a4dbba42dbac73244f5ccb2639a43ab0fc051fcbd7d"}}