{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2018:S34CGVPIXRY3MGLSSLFVPQLVG4","short_pith_number":"pith:S34CGVPI","canonical_record":{"source":{"id":"1806.02308","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2018-06-06T17:15:27Z","cross_cats_sorted":[],"title_canon_sha256":"e43a576c39aa39ccaecef208d9aada1584942c5ba2705ccd7964eae739303e68","abstract_canon_sha256":"b70c27cf54de6b087029c27e5ea3593bd3fc7beea326ede1eb011a4ed40a22a6"},"schema_version":"1.0"},"canonical_sha256":"96f82355e8bc71b6197292cb57c1753710939622c865451b93a3dfe7f1ba624d","source":{"kind":"arxiv","id":"1806.02308","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.02308","created_at":"2026-05-18T00:14:01Z"},{"alias_kind":"arxiv_version","alias_value":"1806.02308v1","created_at":"2026-05-18T00:14:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.02308","created_at":"2026-05-18T00:14:01Z"},{"alias_kind":"pith_short_12","alias_value":"S34CGVPIXRY3","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"S34CGVPIXRY3MGLS","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"S34CGVPI","created_at":"2026-05-18T12:32:50Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2018:S34CGVPIXRY3MGLSSLFVPQLVG4","target":"record","payload":{"canonical_record":{"source":{"id":"1806.02308","kind":"arxiv","version":1},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2018-06-06T17:15:27Z","cross_cats_sorted":[],"title_canon_sha256":"e43a576c39aa39ccaecef208d9aada1584942c5ba2705ccd7964eae739303e68","abstract_canon_sha256":"b70c27cf54de6b087029c27e5ea3593bd3fc7beea326ede1eb011a4ed40a22a6"},"schema_version":"1.0"},"canonical_sha256":"96f82355e8bc71b6197292cb57c1753710939622c865451b93a3dfe7f1ba624d","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:14:01.894945Z","signature_b64":"xc+7sLHuuHDGThuXj3B5vC9KrzD9vGNcgxyszNxyaaf7qOxyi/5tMsu0jNVTTRXn04UGooPeVMd9OK4EPOguCQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"96f82355e8bc71b6197292cb57c1753710939622c865451b93a3dfe7f1ba624d","last_reissued_at":"2026-05-18T00:14:01.894291Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:14:01.894291Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"1806.02308","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":"2026-05-18T00:14:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"XQfuf1O3E5xDTLvtHfl504T4sMKDOwJdo7Knvk/7khJQkEm0Nnd+z8urqP5W+4QE9JDp2CEYR7NWSuTupnZyCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T16:17:20.633642Z"},"content_sha256":"46f42597a72d13baec6baa5bbf33e09e4d0bdee2d714524a4b5f73e8a40f466b","schema_version":"1.0","event_id":"sha256:46f42597a72d13baec6baa5bbf33e09e4d0bdee2d714524a4b5f73e8a40f466b"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2018:S34CGVPIXRY3MGLSSLFVPQLVG4","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Model-free, Model-based, and General Intelligence","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.AI","authors_text":"Hector Geffner","submitted_at":"2018-06-06T17:15:27Z","abstract_excerpt":"During the 60s and 70s, AI researchers explored intuitions about intelligence by writing programs that displayed intelligent behavior. Many good ideas came out from this work but programs written by hand were not robust or general. After the 80s, research increasingly shifted to the development of learners capable of inferring behavior and functions from experience and data, and solvers capable of tackling well-defined but intractable models like SAT, classical planning, Bayesian networks, and POMDPs. The learning approach has achieved considerable success but results in black boxes that do no"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.02308","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":""},"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":"2026-05-18T00:14:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"errccq9b/Ad4WpYYg7GA55+HA77yGsbqkmKw/AIyOBX2iDyv+kSJM8mgxKKgc5oIQ5z5gEb/mSYwFRLciajNAw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-16T16:17:20.634110Z"},"content_sha256":"80d9bed2afb3e67c0458f339a8d2cb3613dbec323d357347e15d855a6e5dca6f","schema_version":"1.0","event_id":"sha256:80d9bed2afb3e67c0458f339a8d2cb3613dbec323d357347e15d855a6e5dca6f"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/S34CGVPIXRY3MGLSSLFVPQLVG4/bundle.json","state_url":"https://pith.science/pith/S34CGVPIXRY3MGLSSLFVPQLVG4/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/S34CGVPIXRY3MGLSSLFVPQLVG4/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":"2026-08-16T16:17:20Z","links":{"resolver":"https://pith.science/pith/S34CGVPIXRY3MGLSSLFVPQLVG4","bundle":"https://pith.science/pith/S34CGVPIXRY3MGLSSLFVPQLVG4/bundle.json","state":"https://pith.science/pith/S34CGVPIXRY3MGLSSLFVPQLVG4/state.json","well_known_bundle":"https://pith.science/.well-known/pith/S34CGVPIXRY3MGLSSLFVPQLVG4/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2018:S34CGVPIXRY3MGLSSLFVPQLVG4","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":"b70c27cf54de6b087029c27e5ea3593bd3fc7beea326ede1eb011a4ed40a22a6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2018-06-06T17:15:27Z","title_canon_sha256":"e43a576c39aa39ccaecef208d9aada1584942c5ba2705ccd7964eae739303e68"},"schema_version":"1.0","source":{"id":"1806.02308","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"1806.02308","created_at":"2026-05-18T00:14:01Z"},{"alias_kind":"arxiv_version","alias_value":"1806.02308v1","created_at":"2026-05-18T00:14:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1806.02308","created_at":"2026-05-18T00:14:01Z"},{"alias_kind":"pith_short_12","alias_value":"S34CGVPIXRY3","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_16","alias_value":"S34CGVPIXRY3MGLS","created_at":"2026-05-18T12:32:50Z"},{"alias_kind":"pith_short_8","alias_value":"S34CGVPI","created_at":"2026-05-18T12:32:50Z"}],"graph_snapshots":[{"event_id":"sha256:80d9bed2afb3e67c0458f339a8d2cb3613dbec323d357347e15d855a6e5dca6f","target":"graph","created_at":"2026-05-18T00:14:01Z","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":"During the 60s and 70s, AI researchers explored intuitions about intelligence by writing programs that displayed intelligent behavior. Many good ideas came out from this work but programs written by hand were not robust or general. After the 80s, research increasingly shifted to the development of learners capable of inferring behavior and functions from experience and data, and solvers capable of tackling well-defined but intractable models like SAT, classical planning, Bayesian networks, and POMDPs. The learning approach has achieved considerable success but results in black boxes that do no","authors_text":"Hector Geffner","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2018-06-06T17:15:27Z","title":"Model-free, Model-based, and General Intelligence"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1806.02308","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":"sha256:46f42597a72d13baec6baa5bbf33e09e4d0bdee2d714524a4b5f73e8a40f466b","target":"record","created_at":"2026-05-18T00:14:01Z","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":"b70c27cf54de6b087029c27e5ea3593bd3fc7beea326ede1eb011a4ed40a22a6","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.AI","submitted_at":"2018-06-06T17:15:27Z","title_canon_sha256":"e43a576c39aa39ccaecef208d9aada1584942c5ba2705ccd7964eae739303e68"},"schema_version":"1.0","source":{"id":"1806.02308","kind":"arxiv","version":1}},"canonical_sha256":"96f82355e8bc71b6197292cb57c1753710939622c865451b93a3dfe7f1ba624d","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"96f82355e8bc71b6197292cb57c1753710939622c865451b93a3dfe7f1ba624d","first_computed_at":"2026-05-18T00:14:01.894291Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-05-18T00:14:01.894291Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"xc+7sLHuuHDGThuXj3B5vC9KrzD9vGNcgxyszNxyaaf7qOxyi/5tMsu0jNVTTRXn04UGooPeVMd9OK4EPOguCQ==","signature_status":"signed_v1","signed_at":"2026-05-18T00:14:01.894945Z","signed_message":"canonical_sha256_bytes"},"source_id":"1806.02308","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:46f42597a72d13baec6baa5bbf33e09e4d0bdee2d714524a4b5f73e8a40f466b","sha256:80d9bed2afb3e67c0458f339a8d2cb3613dbec323d357347e15d855a6e5dca6f"],"state_sha256":"c4a4c67e0986dcb5dab71d844f2f45200cc7b716074189c39c87001007d04b9d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"3cAMgIs1giZ3Cd0M933qgld7M7c+wRND2jmM+d2NO3Z3CxyAnP1G1LUPWxODuLkWxBg0LBhSBjggJJp1YkQgDg==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-16T16:17:20.638484Z","bundle_sha256":"75f128654ee78285a59eb3c0011d22885cce2f5a79e7ad487ca642998f9c0f32"}}