{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2025:GKZ5JXN7L6RNHXX3BLLAWOQFU2","short_pith_number":"pith:GKZ5JXN7","canonical_record":{"source":{"id":"2506.02923","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T14:24:58Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"c22084ae84f167090ba1a1dbc513607c2c2205316ff10feaa6a32617533d75c8","abstract_canon_sha256":"44e58ad74fd7937675cc3a944b85dece96e181f947ad08d6d829bb551f34be7a"},"schema_version":"1.0"},"canonical_sha256":"32b3d4ddbf5fa2d3defb0ad60b3a05a6842f1ada49b3600892db273200fd3ba1","source":{"kind":"arxiv","id":"2506.02923","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02923","created_at":"2026-07-05T11:15:47Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02923v1","created_at":"2026-07-05T11:15:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02923","created_at":"2026-07-05T11:15:47Z"},{"alias_kind":"pith_short_12","alias_value":"GKZ5JXN7L6RN","created_at":"2026-07-05T11:15:47Z"},{"alias_kind":"pith_short_16","alias_value":"GKZ5JXN7L6RNHXX3","created_at":"2026-07-05T11:15:47Z"},{"alias_kind":"pith_short_8","alias_value":"GKZ5JXN7","created_at":"2026-07-05T11:15:47Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2025:GKZ5JXN7L6RNHXX3BLLAWOQFU2","target":"record","payload":{"canonical_record":{"source":{"id":"2506.02923","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T14:24:58Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"c22084ae84f167090ba1a1dbc513607c2c2205316ff10feaa6a32617533d75c8","abstract_canon_sha256":"44e58ad74fd7937675cc3a944b85dece96e181f947ad08d6d829bb551f34be7a"},"schema_version":"1.0"},"canonical_sha256":"32b3d4ddbf5fa2d3defb0ad60b3a05a6842f1ada49b3600892db273200fd3ba1","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T11:15:47.984347Z","signature_b64":"X2Bu1xMuTpr/HQoflKWVypRvf1hWKcyOVKflTD4tT6DVxWcRob1WgrI88S7k/I1rmSt5CKbQPlYVrD3rVEj5AQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"32b3d4ddbf5fa2d3defb0ad60b3a05a6842f1ada49b3600892db273200fd3ba1","last_reissued_at":"2026-07-05T11:15:47.983872Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T11:15:47.983872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2506.02923","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":"2026-07-05T11:15:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"l4drJcRvm7MJrjUp04RNjwQ3e9vDolyjer6PiL4czynGn7LyQjxXsFxGxGGdqgTHsc47uRLlji/14zlxVliuCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T01:49:10.266405Z"},"content_sha256":"1d3d66cafa05856e8bbae9f6f53faf1a9834da21bdabd1badfb924f5c99cb0bc","schema_version":"1.0","event_id":"sha256:1d3d66cafa05856e8bbae9f6f53faf1a9834da21bdabd1badfb924f5c99cb0bc"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2025:GKZ5JXN7L6RNHXX3BLLAWOQFU2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"The Limits of Predicting Agents from Behaviour","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.AI","authors_text":"Alexis Bellot, Jonathan Richens, Tom Everitt","submitted_at":"2025-06-03T14:24:58Z","abstract_excerpt":"As the complexity of AI systems and their interactions with the world increases, generating explanations for their behaviour is important for safely deploying AI. For agents, the most natural abstractions for predicting behaviour attribute beliefs, intentions and goals to the system. If an agent behaves as if it has a certain goal or belief, then we can make reasonable predictions about how it will behave in novel situations, including those where comprehensive safety evaluations are untenable. How well can we infer an agent's beliefs from their behaviour, and how reliably can these inferred b"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02923","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/2506.02923/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":"2026-07-05T11:15:47Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"cWy7NxvQOQoDV3c7n0pE7uVW+Jx+4RVW95NvwQVkgmuWHjQuGNxJTtq2qVAZIb+jP9GWj//g+HGBdGDg8Gy0BQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T01:49:10.267055Z"},"content_sha256":"57163875cdaa725eeca5238df4a4e1106e91764546b1db68493db4a100c721a3","schema_version":"1.0","event_id":"sha256:57163875cdaa725eeca5238df4a4e1106e91764546b1db68493db4a100c721a3"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/GKZ5JXN7L6RNHXX3BLLAWOQFU2/bundle.json","state_url":"https://pith.science/pith/GKZ5JXN7L6RNHXX3BLLAWOQFU2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/GKZ5JXN7L6RNHXX3BLLAWOQFU2/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":"2026-08-10T01:49:10Z","links":{"resolver":"https://pith.science/pith/GKZ5JXN7L6RNHXX3BLLAWOQFU2","bundle":"https://pith.science/pith/GKZ5JXN7L6RNHXX3BLLAWOQFU2/bundle.json","state":"https://pith.science/pith/GKZ5JXN7L6RNHXX3BLLAWOQFU2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/GKZ5JXN7L6RNHXX3BLLAWOQFU2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2025:GKZ5JXN7L6RNHXX3BLLAWOQFU2","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":"44e58ad74fd7937675cc3a944b85dece96e181f947ad08d6d829bb551f34be7a","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T14:24:58Z","title_canon_sha256":"c22084ae84f167090ba1a1dbc513607c2c2205316ff10feaa6a32617533d75c8"},"schema_version":"1.0","source":{"id":"2506.02923","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2506.02923","created_at":"2026-07-05T11:15:47Z"},{"alias_kind":"arxiv_version","alias_value":"2506.02923v1","created_at":"2026-07-05T11:15:47Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2506.02923","created_at":"2026-07-05T11:15:47Z"},{"alias_kind":"pith_short_12","alias_value":"GKZ5JXN7L6RN","created_at":"2026-07-05T11:15:47Z"},{"alias_kind":"pith_short_16","alias_value":"GKZ5JXN7L6RNHXX3","created_at":"2026-07-05T11:15:47Z"},{"alias_kind":"pith_short_8","alias_value":"GKZ5JXN7","created_at":"2026-07-05T11:15:47Z"}],"graph_snapshots":[{"event_id":"sha256:57163875cdaa725eeca5238df4a4e1106e91764546b1db68493db4a100c721a3","target":"graph","created_at":"2026-07-05T11:15:47Z","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/2506.02923/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"As the complexity of AI systems and their interactions with the world increases, generating explanations for their behaviour is important for safely deploying AI. For agents, the most natural abstractions for predicting behaviour attribute beliefs, intentions and goals to the system. If an agent behaves as if it has a certain goal or belief, then we can make reasonable predictions about how it will behave in novel situations, including those where comprehensive safety evaluations are untenable. How well can we infer an agent's beliefs from their behaviour, and how reliably can these inferred b","authors_text":"Alexis Bellot, Jonathan Richens, Tom Everitt","cross_cats":["stat.ML"],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T14:24:58Z","title":"The Limits of Predicting Agents from Behaviour"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2506.02923","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":"sha256:1d3d66cafa05856e8bbae9f6f53faf1a9834da21bdabd1badfb924f5c99cb0bc","target":"record","created_at":"2026-07-05T11:15:47Z","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":"44e58ad74fd7937675cc3a944b85dece96e181f947ad08d6d829bb551f34be7a","cross_cats_sorted":["stat.ML"],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2025-06-03T14:24:58Z","title_canon_sha256":"c22084ae84f167090ba1a1dbc513607c2c2205316ff10feaa6a32617533d75c8"},"schema_version":"1.0","source":{"id":"2506.02923","kind":"arxiv","version":1}},"canonical_sha256":"32b3d4ddbf5fa2d3defb0ad60b3a05a6842f1ada49b3600892db273200fd3ba1","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"32b3d4ddbf5fa2d3defb0ad60b3a05a6842f1ada49b3600892db273200fd3ba1","first_computed_at":"2026-07-05T11:15:47.983872Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T11:15:47.983872Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"X2Bu1xMuTpr/HQoflKWVypRvf1hWKcyOVKflTD4tT6DVxWcRob1WgrI88S7k/I1rmSt5CKbQPlYVrD3rVEj5AQ==","signature_status":"signed_v1","signed_at":"2026-07-05T11:15:47.984347Z","signed_message":"canonical_sha256_bytes"},"source_id":"2506.02923","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:1d3d66cafa05856e8bbae9f6f53faf1a9834da21bdabd1badfb924f5c99cb0bc","sha256:57163875cdaa725eeca5238df4a4e1106e91764546b1db68493db4a100c721a3"],"state_sha256":"91ea1865609b183f219157ded08318acc2d1b6bb3936a61cdf1d901e63a22f9b"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"td7Jpxjr6FxamgutyiVjAYAvn1AvQngmx+tk+2kPiH+qzhKSpdEkjFJ/T9pEorHHOBEn47+GjPRE/5a8pbrzBA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T01:49:10.272212Z","bundle_sha256":"7680738d7be5232ce2af34dafbc70ce3c15a61e1677f6838773e3e2d8161c328"}}