{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:LQQJDZVFEK26H6M6LDLR2HLUYL","short_pith_number":"pith:LQQJDZVF","canonical_record":{"source":{"id":"2511.04500","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-11-06T16:21:27Z","cross_cats_sorted":["cs.CL","cs.GT","cs.MA"],"title_canon_sha256":"e5a50a090a246a2712cd1857bd556caecb4e6c4faeef67c80f1b11f822413310","abstract_canon_sha256":"41e0b4909724be839d56135b802b1acfa4966e47b1c4e9e21895dc4f910cf9c0"},"schema_version":"1.0"},"canonical_sha256":"5c2091e6a522b5e3f99e58d71d1d74c2c950ae5d792aa73b3299381e35914d9c","source":{"kind":"arxiv","id":"2511.04500","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.04500","created_at":"2026-07-02T00:18:25Z"},{"alias_kind":"arxiv_version","alias_value":"2511.04500v3","created_at":"2026-07-02T00:18:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.04500","created_at":"2026-07-02T00:18:25Z"},{"alias_kind":"pith_short_12","alias_value":"LQQJDZVFEK26","created_at":"2026-07-02T00:18:25Z"},{"alias_kind":"pith_short_16","alias_value":"LQQJDZVFEK26H6M6","created_at":"2026-07-02T00:18:25Z"},{"alias_kind":"pith_short_8","alias_value":"LQQJDZVF","created_at":"2026-07-02T00:18:25Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:LQQJDZVFEK26H6M6LDLR2HLUYL","target":"record","payload":{"canonical_record":{"source":{"id":"2511.04500","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-11-06T16:21:27Z","cross_cats_sorted":["cs.CL","cs.GT","cs.MA"],"title_canon_sha256":"e5a50a090a246a2712cd1857bd556caecb4e6c4faeef67c80f1b11f822413310","abstract_canon_sha256":"41e0b4909724be839d56135b802b1acfa4966e47b1c4e9e21895dc4f910cf9c0"},"schema_version":"1.0"},"canonical_sha256":"5c2091e6a522b5e3f99e58d71d1d74c2c950ae5d792aa73b3299381e35914d9c","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-02T00:18:25.993609Z","signature_b64":"PQkYzfCTfPKKVWC5KD7Kt2ZA2Q7ZRl708YWKOuwOVTCdigvg8Ppjek3K6IU5YDofCguJN1aFqrb+SLHzZ3cDCg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"5c2091e6a522b5e3f99e58d71d1d74c2c950ae5d792aa73b3299381e35914d9c","last_reissued_at":"2026-07-02T00:18:25.993052Z","signature_status":"signed_v1","first_computed_at":"2026-07-02T00:18:25.993052Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2511.04500","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-02T00:18:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"UIyoJzVMIuH1p3GYsCzXxEDaTePNWt6q8VE2KVzQCWGS3pj3K9SNFAORfSncmKcHTFNVFlNF4cf8UOnhcO7LDA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:49:59.102708Z"},"content_sha256":"5b1940f72d51b5eaef086daa67f345eff97ee5193c30b909762d47a36adf533b","schema_version":"1.0","event_id":"sha256:5b1940f72d51b5eaef086daa67f345eff97ee5193c30b909762d47a36adf533b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:LQQJDZVFEK26H6M6LDLR2HLUYL","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Large language models replicate and predict human cooperation across experiments in game theory","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","headline":"","cross_cats":["cs.CL","cs.GT","cs.MA"],"primary_cat":"cs.AI","authors_text":"Ana S. Cardenal, Andrea Cera Palatsi, Max Pellert, Samuel Martin-Gutierrez","submitted_at":"2025-11-06T16:21:27Z","abstract_excerpt":"Large language models (LLMs) are increasingly deployed as decision-making agents in high-stakes domains and as imitators of human behavior in the social and behavioral sciences. Yet how closely LLMs mirror human decision-making remains poorly understood. This gap is critical: misalignment could produce harmful outcomes in practice, while failure to replicate human behavior renders LLMs ineffective as social simulators. Here, we address this gap by replicating large-scale game-theoretic experiments and by introducing a systematic prompting and probing framework for machine-behavioral evaluation"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.04500","kind":"arxiv","version":3},"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/2511.04500/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":"2026-07-02T00:18:25Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"n7rhgaIft0fzKa340kR6nkA1YVxbxhjNfIkGxcMZcM7sokVJLR3h2eT3kPezvxwzKcsn+qP3VWBFg9l6XeKuDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-03T16:49:59.103214Z"},"content_sha256":"2da2db5f60d837f3e09c8df709712f14d7c38e0844f356102b48b12365a37c3c","schema_version":"1.0","event_id":"sha256:2da2db5f60d837f3e09c8df709712f14d7c38e0844f356102b48b12365a37c3c"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/LQQJDZVFEK26H6M6LDLR2HLUYL/bundle.json","state_url":"https://pith.science/pith/LQQJDZVFEK26H6M6LDLR2HLUYL/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/LQQJDZVFEK26H6M6LDLR2HLUYL/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":"2026-08-03T16:49:59Z","links":{"resolver":"https://pith.science/pith/LQQJDZVFEK26H6M6LDLR2HLUYL","bundle":"https://pith.science/pith/LQQJDZVFEK26H6M6LDLR2HLUYL/bundle.json","state":"https://pith.science/pith/LQQJDZVFEK26H6M6LDLR2HLUYL/state.json","well_known_bundle":"https://pith.science/.well-known/pith/LQQJDZVFEK26H6M6LDLR2HLUYL/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:LQQJDZVFEK26H6M6LDLR2HLUYL","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":"41e0b4909724be839d56135b802b1acfa4966e47b1c4e9e21895dc4f910cf9c0","cross_cats_sorted":["cs.CL","cs.GT","cs.MA"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-11-06T16:21:27Z","title_canon_sha256":"e5a50a090a246a2712cd1857bd556caecb4e6c4faeef67c80f1b11f822413310"},"schema_version":"1.0","source":{"id":"2511.04500","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2511.04500","created_at":"2026-07-02T00:18:25Z"},{"alias_kind":"arxiv_version","alias_value":"2511.04500v3","created_at":"2026-07-02T00:18:25Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2511.04500","created_at":"2026-07-02T00:18:25Z"},{"alias_kind":"pith_short_12","alias_value":"LQQJDZVFEK26","created_at":"2026-07-02T00:18:25Z"},{"alias_kind":"pith_short_16","alias_value":"LQQJDZVFEK26H6M6","created_at":"2026-07-02T00:18:25Z"},{"alias_kind":"pith_short_8","alias_value":"LQQJDZVF","created_at":"2026-07-02T00:18:25Z"}],"graph_snapshots":[{"event_id":"sha256:2da2db5f60d837f3e09c8df709712f14d7c38e0844f356102b48b12365a37c3c","target":"graph","created_at":"2026-07-02T00:18:25Z","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/2511.04500/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Large language models (LLMs) are increasingly deployed as decision-making agents in high-stakes domains and as imitators of human behavior in the social and behavioral sciences. Yet how closely LLMs mirror human decision-making remains poorly understood. This gap is critical: misalignment could produce harmful outcomes in practice, while failure to replicate human behavior renders LLMs ineffective as social simulators. Here, we address this gap by replicating large-scale game-theoretic experiments and by introducing a systematic prompting and probing framework for machine-behavioral evaluation","authors_text":"Ana S. Cardenal, Andrea Cera Palatsi, Max Pellert, Samuel Martin-Gutierrez","cross_cats":["cs.CL","cs.GT","cs.MA"],"headline":"","license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-11-06T16:21:27Z","title":"Large language models replicate and predict human cooperation across experiments in game theory"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2511.04500","kind":"arxiv","version":3},"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":"sha256:5b1940f72d51b5eaef086daa67f345eff97ee5193c30b909762d47a36adf533b","target":"record","created_at":"2026-07-02T00:18:25Z","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":"41e0b4909724be839d56135b802b1acfa4966e47b1c4e9e21895dc4f910cf9c0","cross_cats_sorted":["cs.CL","cs.GT","cs.MA"],"license":"http://creativecommons.org/licenses/by-nc-sa/4.0/","primary_cat":"cs.AI","submitted_at":"2025-11-06T16:21:27Z","title_canon_sha256":"e5a50a090a246a2712cd1857bd556caecb4e6c4faeef67c80f1b11f822413310"},"schema_version":"1.0","source":{"id":"2511.04500","kind":"arxiv","version":3}},"canonical_sha256":"5c2091e6a522b5e3f99e58d71d1d74c2c950ae5d792aa73b3299381e35914d9c","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"5c2091e6a522b5e3f99e58d71d1d74c2c950ae5d792aa73b3299381e35914d9c","first_computed_at":"2026-07-02T00:18:25.993052Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-02T00:18:25.993052Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"PQkYzfCTfPKKVWC5KD7Kt2ZA2Q7ZRl708YWKOuwOVTCdigvg8Ppjek3K6IU5YDofCguJN1aFqrb+SLHzZ3cDCg==","signature_status":"signed_v1","signed_at":"2026-07-02T00:18:25.993609Z","signed_message":"canonical_sha256_bytes"},"source_id":"2511.04500","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:5b1940f72d51b5eaef086daa67f345eff97ee5193c30b909762d47a36adf533b","sha256:2da2db5f60d837f3e09c8df709712f14d7c38e0844f356102b48b12365a37c3c"],"state_sha256":"8fbb16da725be29cb4cadbdd63597e682b852f8debf91ff70bf5f0b676a50a9a"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"VqoYjqNxWA83CqiregZlBehY0M8qtdF6Hs71X0tcU2ExhQGny8y+GfLIuP50kOZNmiACStjS5zbCvXnb/bhtAw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-03T16:49:59.108070Z","bundle_sha256":"e89d0b928793b5e7411120a7131073420d3a1719011c955a8434ae86618e2198"}}