{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:K6H6Z7QDKS2ZZPCCFIX57L3U5N","short_pith_number":"pith:K6H6Z7QD","canonical_record":{"source":{"id":"2307.11137","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-07-20T17:19:15Z","cross_cats_sorted":["econ.GN","q-fin.EC"],"title_canon_sha256":"45c3f6a6f85c7aab5674f6ac62e95c0ef2412c31e2d7a3681b52a1f676999b88","abstract_canon_sha256":"0d24512cae6a07be07fdfc39c32a6871185dbb7fcd75b3b04dd5fdfe2bff3288"},"schema_version":"1.0"},"canonical_sha256":"578fecfe0354b59cbc422a2fdfaf74eb777a08ffe817a6aedd5b40b41f35b8bf","source":{"kind":"arxiv","id":"2307.11137","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.11137","created_at":"2026-07-05T06:50:16Z"},{"alias_kind":"arxiv_version","alias_value":"2307.11137v3","created_at":"2026-07-05T06:50:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.11137","created_at":"2026-07-05T06:50:16Z"},{"alias_kind":"pith_short_12","alias_value":"K6H6Z7QDKS2Z","created_at":"2026-07-05T06:50:16Z"},{"alias_kind":"pith_short_16","alias_value":"K6H6Z7QDKS2ZZPCC","created_at":"2026-07-05T06:50:16Z"},{"alias_kind":"pith_short_8","alias_value":"K6H6Z7QD","created_at":"2026-07-05T06:50:16Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:K6H6Z7QDKS2ZZPCCFIX57L3U5N","target":"record","payload":{"canonical_record":{"source":{"id":"2307.11137","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-07-20T17:19:15Z","cross_cats_sorted":["econ.GN","q-fin.EC"],"title_canon_sha256":"45c3f6a6f85c7aab5674f6ac62e95c0ef2412c31e2d7a3681b52a1f676999b88","abstract_canon_sha256":"0d24512cae6a07be07fdfc39c32a6871185dbb7fcd75b3b04dd5fdfe2bff3288"},"schema_version":"1.0"},"canonical_sha256":"578fecfe0354b59cbc422a2fdfaf74eb777a08ffe817a6aedd5b40b41f35b8bf","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T06:50:16.122328Z","signature_b64":"CgwBiZl9cBUuwJBYmdE+8Y0sZQImhgS0dA+Aw7d3nkOmK3lDq1/IdLRg8G/4BZNCHuXg3/QU3BN/UXrgEpPLDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"578fecfe0354b59cbc422a2fdfaf74eb777a08ffe817a6aedd5b40b41f35b8bf","last_reissued_at":"2026-07-05T06:50:16.121846Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T06:50:16.121846Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2307.11137","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":"2026-07-05T06:50:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"BViAfA3vIhUmJOeQ+5BYgeBhw0EgGsf3cgzVBkmFvNkY8HQoj321vAV/3Pc1NXfH4gminNunrGKABYkqbw+AAQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:14:24.650140Z"},"content_sha256":"62ef47cf03cf35802025dbea4511e209e7b3d4508a5cd3aad5139dfc57afb520","schema_version":"1.0","event_id":"sha256:62ef47cf03cf35802025dbea4511e209e7b3d4508a5cd3aad5139dfc57afb520"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:K6H6Z7QDKS2ZZPCCFIX57L3U5N","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Of Models and Tin Men: A Behavioural Economics Study of Principal-Agent Problems in AI Alignment using Large-Language Models","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["econ.GN","q-fin.EC"],"primary_cat":"cs.AI","authors_text":"Rebecca Ranson, Steve Phelps","submitted_at":"2023-07-20T17:19:15Z","abstract_excerpt":"AI Alignment is often presented as an interaction between a single designer and an artificial agent in which the designer attempts to ensure the agent's behavior is consistent with its purpose, and risks arise solely because of conflicts caused by inadvertent misalignment between the utility function intended by the designer and the resulting internal utility function of the agent. With the advent of agents instantiated with large-language models (LLMs), which are typically pre-trained, we argue this does not capture the essential aspects of AI safety because in the real world there is not a o"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.11137","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/2307.11137/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":"2026-07-05T06:50:16Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"PebrFY4wGaFmj5PvPjiyV9IvwJHJl0GTJ5nzwij9IGwkV5Q2RUhfCZyWzdS/5GHu2XHbZcV4/12tBjnP79WsBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-05T06:14:24.650629Z"},"content_sha256":"f8b84b41b50307eebb942774411010f5348caad85f23018b02e261a3f9ba1c87","schema_version":"1.0","event_id":"sha256:f8b84b41b50307eebb942774411010f5348caad85f23018b02e261a3f9ba1c87"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/K6H6Z7QDKS2ZZPCCFIX57L3U5N/bundle.json","state_url":"https://pith.science/pith/K6H6Z7QDKS2ZZPCCFIX57L3U5N/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/K6H6Z7QDKS2ZZPCCFIX57L3U5N/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":"2026-08-05T06:14:24Z","links":{"resolver":"https://pith.science/pith/K6H6Z7QDKS2ZZPCCFIX57L3U5N","bundle":"https://pith.science/pith/K6H6Z7QDKS2ZZPCCFIX57L3U5N/bundle.json","state":"https://pith.science/pith/K6H6Z7QDKS2ZZPCCFIX57L3U5N/state.json","well_known_bundle":"https://pith.science/.well-known/pith/K6H6Z7QDKS2ZZPCCFIX57L3U5N/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:K6H6Z7QDKS2ZZPCCFIX57L3U5N","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":"0d24512cae6a07be07fdfc39c32a6871185dbb7fcd75b3b04dd5fdfe2bff3288","cross_cats_sorted":["econ.GN","q-fin.EC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-07-20T17:19:15Z","title_canon_sha256":"45c3f6a6f85c7aab5674f6ac62e95c0ef2412c31e2d7a3681b52a1f676999b88"},"schema_version":"1.0","source":{"id":"2307.11137","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2307.11137","created_at":"2026-07-05T06:50:16Z"},{"alias_kind":"arxiv_version","alias_value":"2307.11137v3","created_at":"2026-07-05T06:50:16Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2307.11137","created_at":"2026-07-05T06:50:16Z"},{"alias_kind":"pith_short_12","alias_value":"K6H6Z7QDKS2Z","created_at":"2026-07-05T06:50:16Z"},{"alias_kind":"pith_short_16","alias_value":"K6H6Z7QDKS2ZZPCC","created_at":"2026-07-05T06:50:16Z"},{"alias_kind":"pith_short_8","alias_value":"K6H6Z7QD","created_at":"2026-07-05T06:50:16Z"}],"graph_snapshots":[{"event_id":"sha256:f8b84b41b50307eebb942774411010f5348caad85f23018b02e261a3f9ba1c87","target":"graph","created_at":"2026-07-05T06:50:16Z","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/2307.11137/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"AI Alignment is often presented as an interaction between a single designer and an artificial agent in which the designer attempts to ensure the agent's behavior is consistent with its purpose, and risks arise solely because of conflicts caused by inadvertent misalignment between the utility function intended by the designer and the resulting internal utility function of the agent. With the advent of agents instantiated with large-language models (LLMs), which are typically pre-trained, we argue this does not capture the essential aspects of AI safety because in the real world there is not a o","authors_text":"Rebecca Ranson, Steve Phelps","cross_cats":["econ.GN","q-fin.EC"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-07-20T17:19:15Z","title":"Of Models and Tin Men: A Behavioural Economics Study of Principal-Agent Problems in AI Alignment using Large-Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2307.11137","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":"sha256:62ef47cf03cf35802025dbea4511e209e7b3d4508a5cd3aad5139dfc57afb520","target":"record","created_at":"2026-07-05T06:50:16Z","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":"0d24512cae6a07be07fdfc39c32a6871185dbb7fcd75b3b04dd5fdfe2bff3288","cross_cats_sorted":["econ.GN","q-fin.EC"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2023-07-20T17:19:15Z","title_canon_sha256":"45c3f6a6f85c7aab5674f6ac62e95c0ef2412c31e2d7a3681b52a1f676999b88"},"schema_version":"1.0","source":{"id":"2307.11137","kind":"arxiv","version":3}},"canonical_sha256":"578fecfe0354b59cbc422a2fdfaf74eb777a08ffe817a6aedd5b40b41f35b8bf","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"578fecfe0354b59cbc422a2fdfaf74eb777a08ffe817a6aedd5b40b41f35b8bf","first_computed_at":"2026-07-05T06:50:16.121846Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T06:50:16.121846Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"CgwBiZl9cBUuwJBYmdE+8Y0sZQImhgS0dA+Aw7d3nkOmK3lDq1/IdLRg8G/4BZNCHuXg3/QU3BN/UXrgEpPLDA==","signature_status":"signed_v1","signed_at":"2026-07-05T06:50:16.122328Z","signed_message":"canonical_sha256_bytes"},"source_id":"2307.11137","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:62ef47cf03cf35802025dbea4511e209e7b3d4508a5cd3aad5139dfc57afb520","sha256:f8b84b41b50307eebb942774411010f5348caad85f23018b02e261a3f9ba1c87"],"state_sha256":"4e232e87088cb57589a4f4fdfb5484b06c631364818811e9f46c98fa3bfa204c"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ZvbNqeQQyqkmJZgMsucHJ38cVKo5eguxM6qKgLEuvdHniXWB+EAU6ttwZhXA9YQpdZTJdTH1yY3JRuDfYNQyDA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-05T06:14:24.655419Z","bundle_sha256":"764c53ab5b62cb0bb5696084dbb21851f9b672e232131ae792d97a0ff4c7eb39"}}