{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:46YQPEHXL75DTDMQEFNAKPX6M2","short_pith_number":"pith:46YQPEHX","canonical_record":{"source":{"id":"1805.09864","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-05-24T19:36:12Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"0c6e6b86d22632d095363b993ace9902e8c737651db6c75a2f60d041b6ebd90c","abstract_canon_sha256":"6cc38721dd6528c285ca29c1f3b393ddf163aa438d0c250e9958b8e5c154364c"},"schema_version":"1.0"},"canonical_sha256":"e7b10790f75ffa398d90215a053efe66bd532ca34056a243b9d3a2ea75195ede","source":{"kind":"arxiv","id":"1805.09864","version":4},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.09864","created_at":"2026-05-17T23:43:33Z"},{"alias_kind":"arxiv_version","alias_value":"1805.09864v4","created_at":"2026-05-17T23:43:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.09864","created_at":"2026-05-17T23:43:33Z"},{"alias_kind":"pith_short_12","alias_value":"46YQPEHXL75D","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"46YQPEHXL75DTDMQ","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"46YQPEHX","created_at":"2026-05-18T12:32:05Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:46YQPEHXL75DTDMQEFNAKPX6M2","target":"record","payload":{"canonical_record":{"source":{"id":"1805.09864","kind":"arxiv","version":4},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-05-24T19:36:12Z","cross_cats_sorted":["stat.ML"],"title_canon_sha256":"0c6e6b86d22632d095363b993ace9902e8c737651db6c75a2f60d041b6ebd90c","abstract_canon_sha256":"6cc38721dd6528c285ca29c1f3b393ddf163aa438d0c250e9958b8e5c154364c"},"schema_version":"1.0"},"canonical_sha256":"e7b10790f75ffa398d90215a053efe66bd532ca34056a243b9d3a2ea75195ede","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-17T23:43:33.312413Z","signature_b64":"d3qlYWggG7v9eZFwYPrHkZcmWNh83LpMc310WRY9fIx2ZMDFGoEEkbDzkcNeq5cNiiGIzwEG/xk2pyDAy7sKAg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e7b10790f75ffa398d90215a053efe66bd532ca34056a243b9d3a2ea75195ede","last_reissued_at":"2026-05-17T23:43:33.311983Z","signature_status":"signed_v1","first_computed_at":"2026-05-17T23:43:33.311983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1805.09864","source_version":4,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-05-17T23:43:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"HfF6pQaLfd2N4QAjI6O/s2MxfvCB8UEE2Ot1RsmKCHXJ4n0JlJGKHh3XIMRa3KpuhHzczDGsfI17uXG60xJpBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T10:33:46.810353Z"},"content_sha256":"41d4c578e4760bb7626c5f6870ef887cb33666d69a8a35974efdb1bd68773139","schema_version":"1.0","event_id":"sha256:41d4c578e4760bb7626c5f6870ef887cb33666d69a8a35974efdb1bd68773139"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:46YQPEHXL75DTDMQEFNAKPX6M2","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Inverse Rational Control: Inferring What You Think from How You Forage","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["stat.ML"],"primary_cat":"cs.LG","authors_text":"Paul Schrater, Xaq Pitkow, Zhengwei Wu","submitted_at":"2018-05-24T19:36:12Z","abstract_excerpt":"Complex behaviors are often driven by an internal model, which integrates sensory information over time and facilitates long-term planning. Inferring an agent's internal model is a crucial ingredient in social interactions (theory of mind), for imitation learning, and for interpreting neural activities of behaving agents. Here we describe a generic method to model an agent's behavior under an environment with uncertainty, and infer the agent's internal model, reward function, and dynamic beliefs. We apply our method to a simulated agent performing a naturalistic foraging task. We assume the ag"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.09864","kind":"arxiv","version":4},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"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":"2026-05-17T23:43:33Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"p7rrJXXI6WbDf0YGsEA6uZlv6zv2ba6+rPkh4AGDxcM8VQxj4X0BktbfkxJzJPQPViYSmgL/Uz0Uwd0yjXgfBw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-05-28T10:33:46.810706Z"},"content_sha256":"7f22d90a6f7e53fa4f49c0e2b08f88cceb6e7c2d206cb2572a2f9a3af30d1a51","schema_version":"1.0","event_id":"sha256:7f22d90a6f7e53fa4f49c0e2b08f88cceb6e7c2d206cb2572a2f9a3af30d1a51"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/46YQPEHXL75DTDMQEFNAKPX6M2/bundle.json","state_url":"https://pith.science/pith/46YQPEHXL75DTDMQEFNAKPX6M2/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/46YQPEHXL75DTDMQEFNAKPX6M2/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":"2026-05-28T10:33:46Z","links":{"resolver":"https://pith.science/pith/46YQPEHXL75DTDMQEFNAKPX6M2","bundle":"https://pith.science/pith/46YQPEHXL75DTDMQEFNAKPX6M2/bundle.json","state":"https://pith.science/pith/46YQPEHXL75DTDMQEFNAKPX6M2/state.json","well_known_bundle":"https://pith.science/.well-known/pith/46YQPEHXL75DTDMQEFNAKPX6M2/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:46YQPEHXL75DTDMQEFNAKPX6M2","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":"6cc38721dd6528c285ca29c1f3b393ddf163aa438d0c250e9958b8e5c154364c","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-05-24T19:36:12Z","title_canon_sha256":"0c6e6b86d22632d095363b993ace9902e8c737651db6c75a2f60d041b6ebd90c"},"schema_version":"1.0","source":{"id":"1805.09864","kind":"arxiv","version":4}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1805.09864","created_at":"2026-05-17T23:43:33Z"},{"alias_kind":"arxiv_version","alias_value":"1805.09864v4","created_at":"2026-05-17T23:43:33Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1805.09864","created_at":"2026-05-17T23:43:33Z"},{"alias_kind":"pith_short_12","alias_value":"46YQPEHXL75D","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_16","alias_value":"46YQPEHXL75DTDMQ","created_at":"2026-05-18T12:32:05Z"},{"alias_kind":"pith_short_8","alias_value":"46YQPEHX","created_at":"2026-05-18T12:32:05Z"}],"graph_snapshots":[{"event_id":"sha256:7f22d90a6f7e53fa4f49c0e2b08f88cceb6e7c2d206cb2572a2f9a3af30d1a51","target":"graph","created_at":"2026-05-17T23:43:33Z","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"},"paper":{"abstract_excerpt":"Complex behaviors are often driven by an internal model, which integrates sensory information over time and facilitates long-term planning. Inferring an agent's internal model is a crucial ingredient in social interactions (theory of mind), for imitation learning, and for interpreting neural activities of behaving agents. Here we describe a generic method to model an agent's behavior under an environment with uncertainty, and infer the agent's internal model, reward function, and dynamic beliefs. We apply our method to a simulated agent performing a naturalistic foraging task. We assume the ag","authors_text":"Paul Schrater, Xaq Pitkow, Zhengwei Wu","cross_cats":["stat.ML"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-05-24T19:36:12Z","title":"Inverse Rational Control: Inferring What You Think from How You Forage"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1805.09864","kind":"arxiv","version":4},"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":"sha256:41d4c578e4760bb7626c5f6870ef887cb33666d69a8a35974efdb1bd68773139","target":"record","created_at":"2026-05-17T23:43:33Z","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":"6cc38721dd6528c285ca29c1f3b393ddf163aa438d0c250e9958b8e5c154364c","cross_cats_sorted":["stat.ML"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2018-05-24T19:36:12Z","title_canon_sha256":"0c6e6b86d22632d095363b993ace9902e8c737651db6c75a2f60d041b6ebd90c"},"schema_version":"1.0","source":{"id":"1805.09864","kind":"arxiv","version":4}},"canonical_sha256":"e7b10790f75ffa398d90215a053efe66bd532ca34056a243b9d3a2ea75195ede","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e7b10790f75ffa398d90215a053efe66bd532ca34056a243b9d3a2ea75195ede","first_computed_at":"2026-05-17T23:43:33.311983Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-17T23:43:33.311983Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"d3qlYWggG7v9eZFwYPrHkZcmWNh83LpMc310WRY9fIx2ZMDFGoEEkbDzkcNeq5cNiiGIzwEG/xk2pyDAy7sKAg==","signature_status":"signed_v1","signed_at":"2026-05-17T23:43:33.312413Z","signed_message":"canonical_sha256_bytes"},"source_id":"1805.09864","source_kind":"arxiv","source_version":4}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:41d4c578e4760bb7626c5f6870ef887cb33666d69a8a35974efdb1bd68773139","sha256:7f22d90a6f7e53fa4f49c0e2b08f88cceb6e7c2d206cb2572a2f9a3af30d1a51"],"state_sha256":"8de8fc0c0c2547a796ca007e141926b4d6b145827bd0de78aa7fad3f7a9bffef"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"oxZGjqLFTmymPKgO6Z1fJrMXFYnzKgp1l056urj5ufAFvHHYXuEy0UTYIM4aujHjg1jeWhxN/yewQrdP5tGIDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-05-28T10:33:46.812715Z","bundle_sha256":"d41c4dce4e3434eda397dee73b3e8a4be738b566f39d469172863d3bc2a74c7c"}}