{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2022:YBKWPHMWPOAJUM7XJVEGVRUA6F","short_pith_number":"pith:YBKWPHMW","canonical_record":{"source":{"id":"2210.01790","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-04T17:57:53Z","cross_cats_sorted":[],"title_canon_sha256":"797d328c1d2ca1060917dcc0d47753ce74083357807397b914ebe7b04fad3bf4","abstract_canon_sha256":"71eedd8a4aa1334cbb99090758ed97db0a83027cc34c531dff02d0e0af5266cc"},"schema_version":"1.0"},"canonical_sha256":"c055679d967b809a33f74d486ac680f14068a630b96098edffb4beed897e4f3b","source":{"kind":"arxiv","id":"2210.01790","version":2},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.01790","created_at":"2026-07-05T05:12:44Z"},{"alias_kind":"arxiv_version","alias_value":"2210.01790v2","created_at":"2026-07-05T05:12:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.01790","created_at":"2026-07-05T05:12:44Z"},{"alias_kind":"pith_short_12","alias_value":"YBKWPHMWPOAJ","created_at":"2026-07-05T05:12:44Z"},{"alias_kind":"pith_short_16","alias_value":"YBKWPHMWPOAJUM7X","created_at":"2026-07-05T05:12:44Z"},{"alias_kind":"pith_short_8","alias_value":"YBKWPHMW","created_at":"2026-07-05T05:12:44Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2022:YBKWPHMWPOAJUM7XJVEGVRUA6F","target":"record","payload":{"canonical_record":{"source":{"id":"2210.01790","kind":"arxiv","version":2},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-04T17:57:53Z","cross_cats_sorted":[],"title_canon_sha256":"797d328c1d2ca1060917dcc0d47753ce74083357807397b914ebe7b04fad3bf4","abstract_canon_sha256":"71eedd8a4aa1334cbb99090758ed97db0a83027cc34c531dff02d0e0af5266cc"},"schema_version":"1.0"},"canonical_sha256":"c055679d967b809a33f74d486ac680f14068a630b96098edffb4beed897e4f3b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T05:12:44.613919Z","signature_b64":"Rgt0RMc7uNclepOBbGNhaLuHE19xihlrpWTBlvcof7gROVNHvYf6/VmV3LC5EYTn7dh04ODbI4Cnu1YLGeQgDQ==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"c055679d967b809a33f74d486ac680f14068a630b96098edffb4beed897e4f3b","last_reissued_at":"2026-07-05T05:12:44.613444Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T05:12:44.613444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2210.01790","source_version":2,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T05:12:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"N2Pd4uAhrtql1+pnAfJwKDqK5uVGUWfVJ9FSsX7WZ0A6OgxIJxLnyuT4cPeRUflids32/PEP3DzabbzpuRPnBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T02:43:58.771591Z"},"content_sha256":"4f3a15c0f7fcef78a1bd4923e7c7f7f3032f657c8f4ce896c88e4a20733d0823","schema_version":"1.0","event_id":"sha256:4f3a15c0f7fcef78a1bd4923e7c7f7f3032f657c8f4ce896c88e4a20733d0823"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2022:YBKWPHMWPOAJUM7XJVEGVRUA6F","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.LG","authors_text":"Jonathan Uesato, Mary Phuong, Ramana Kumar, Rohin Shah, Victoria Krakovna, Vikrant Varma, Zac Kenton","submitted_at":"2022-10-04T17:57:53Z","abstract_excerpt":"The field of AI alignment is concerned with AI systems that pursue unintended goals. One commonly studied mechanism by which an unintended goal might arise is specification gaming, in which the designer-provided specification is flawed in a way that the designers did not foresee. However, an AI system may pursue an undesired goal even when the specification is correct, in the case of goal misgeneralization. Goal misgeneralization is a specific form of robustness failure for learning algorithms in which the learned program competently pursues an undesired goal that leads to good performance in "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.01790","kind":"arxiv","version":2},"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/2210.01790/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":"2026-07-05T05:12:44Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"ETtyxJX56emI1PBC1M6INGJxYPNbQ0I9uYasS060WOG+cWNaKieHipNc+z9Ovb37M62w1GIos1q+8lSRiL26AQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-10T02:43:58.772083Z"},"content_sha256":"06d7fb56b389877353c13d312fc9b91fbc7bf7acd9198a0d052e3822b784a307","schema_version":"1.0","event_id":"sha256:06d7fb56b389877353c13d312fc9b91fbc7bf7acd9198a0d052e3822b784a307"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/YBKWPHMWPOAJUM7XJVEGVRUA6F/bundle.json","state_url":"https://pith.science/pith/YBKWPHMWPOAJUM7XJVEGVRUA6F/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/YBKWPHMWPOAJUM7XJVEGVRUA6F/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":"2026-08-10T02:43:58Z","links":{"resolver":"https://pith.science/pith/YBKWPHMWPOAJUM7XJVEGVRUA6F","bundle":"https://pith.science/pith/YBKWPHMWPOAJUM7XJVEGVRUA6F/bundle.json","state":"https://pith.science/pith/YBKWPHMWPOAJUM7XJVEGVRUA6F/state.json","well_known_bundle":"https://pith.science/.well-known/pith/YBKWPHMWPOAJUM7XJVEGVRUA6F/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2022:YBKWPHMWPOAJUM7XJVEGVRUA6F","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":"71eedd8a4aa1334cbb99090758ed97db0a83027cc34c531dff02d0e0af5266cc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-04T17:57:53Z","title_canon_sha256":"797d328c1d2ca1060917dcc0d47753ce74083357807397b914ebe7b04fad3bf4"},"schema_version":"1.0","source":{"id":"2210.01790","kind":"arxiv","version":2}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2210.01790","created_at":"2026-07-05T05:12:44Z"},{"alias_kind":"arxiv_version","alias_value":"2210.01790v2","created_at":"2026-07-05T05:12:44Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2210.01790","created_at":"2026-07-05T05:12:44Z"},{"alias_kind":"pith_short_12","alias_value":"YBKWPHMWPOAJ","created_at":"2026-07-05T05:12:44Z"},{"alias_kind":"pith_short_16","alias_value":"YBKWPHMWPOAJUM7X","created_at":"2026-07-05T05:12:44Z"},{"alias_kind":"pith_short_8","alias_value":"YBKWPHMW","created_at":"2026-07-05T05:12:44Z"}],"graph_snapshots":[{"event_id":"sha256:06d7fb56b389877353c13d312fc9b91fbc7bf7acd9198a0d052e3822b784a307","target":"graph","created_at":"2026-07-05T05:12:44Z","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/2210.01790/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"The field of AI alignment is concerned with AI systems that pursue unintended goals. One commonly studied mechanism by which an unintended goal might arise is specification gaming, in which the designer-provided specification is flawed in a way that the designers did not foresee. However, an AI system may pursue an undesired goal even when the specification is correct, in the case of goal misgeneralization. Goal misgeneralization is a specific form of robustness failure for learning algorithms in which the learned program competently pursues an undesired goal that leads to good performance in ","authors_text":"Jonathan Uesato, Mary Phuong, Ramana Kumar, Rohin Shah, Victoria Krakovna, Vikrant Varma, Zac Kenton","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-04T17:57:53Z","title":"Goal Misgeneralization: Why Correct Specifications Aren't Enough For Correct Goals"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2210.01790","kind":"arxiv","version":2},"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":"sha256:4f3a15c0f7fcef78a1bd4923e7c7f7f3032f657c8f4ce896c88e4a20733d0823","target":"record","created_at":"2026-07-05T05:12:44Z","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":"71eedd8a4aa1334cbb99090758ed97db0a83027cc34c531dff02d0e0af5266cc","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.LG","submitted_at":"2022-10-04T17:57:53Z","title_canon_sha256":"797d328c1d2ca1060917dcc0d47753ce74083357807397b914ebe7b04fad3bf4"},"schema_version":"1.0","source":{"id":"2210.01790","kind":"arxiv","version":2}},"canonical_sha256":"c055679d967b809a33f74d486ac680f14068a630b96098edffb4beed897e4f3b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"c055679d967b809a33f74d486ac680f14068a630b96098edffb4beed897e4f3b","first_computed_at":"2026-07-05T05:12:44.613444Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T05:12:44.613444Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"Rgt0RMc7uNclepOBbGNhaLuHE19xihlrpWTBlvcof7gROVNHvYf6/VmV3LC5EYTn7dh04ODbI4Cnu1YLGeQgDQ==","signature_status":"signed_v1","signed_at":"2026-07-05T05:12:44.613919Z","signed_message":"canonical_sha256_bytes"},"source_id":"2210.01790","source_kind":"arxiv","source_version":2}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:4f3a15c0f7fcef78a1bd4923e7c7f7f3032f657c8f4ce896c88e4a20733d0823","sha256:06d7fb56b389877353c13d312fc9b91fbc7bf7acd9198a0d052e3822b784a307"],"state_sha256":"1e78406d4ef245181806ba54be9f306f5c99cca46c36f8062eb62d875a31176d"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"V4+2pGrF0XEL2fJGfavRtS+fdNY+pcogrjHuCsKRkFSNrq0UxsWtZ+nqEQhsfR8MAIUXY7lImHLS1ll4hXu2CQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-10T02:43:58.776514Z","bundle_sha256":"630eb2dff0310298935deacc969dbf1306c35047a8d08f967b377371a38ff40c"}}