{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:4CQZHK6YUJEO7VEWCZXA2DSLVK","short_pith_number":"pith:4CQZHK6Y","canonical_record":{"source":{"id":"2304.00740","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-04-03T06:24:10Z","cross_cats_sorted":[],"title_canon_sha256":"227e1981485364a0560a1423f39d747404ea560e94443996e2054b65e73f9cac","abstract_canon_sha256":"0a2ba14be340d074a33ca16c573fb4bc1eb0fa3075fe6953bbec8c44f810a0bb"},"schema_version":"1.0"},"canonical_sha256":"e0a193abd8a248efd496166e0d0e4baab03ca737a7675aa5cab9e8f042fc5b07","source":{"kind":"arxiv","id":"2304.00740","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.00740","created_at":"2026-07-05T08:54:01Z"},{"alias_kind":"arxiv_version","alias_value":"2304.00740v3","created_at":"2026-07-05T08:54:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.00740","created_at":"2026-07-05T08:54:01Z"},{"alias_kind":"pith_short_12","alias_value":"4CQZHK6YUJEO","created_at":"2026-07-05T08:54:01Z"},{"alias_kind":"pith_short_16","alias_value":"4CQZHK6YUJEO7VEW","created_at":"2026-07-05T08:54:01Z"},{"alias_kind":"pith_short_8","alias_value":"4CQZHK6Y","created_at":"2026-07-05T08:54:01Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:4CQZHK6YUJEO7VEWCZXA2DSLVK","target":"record","payload":{"canonical_record":{"source":{"id":"2304.00740","kind":"arxiv","version":3},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-04-03T06:24:10Z","cross_cats_sorted":[],"title_canon_sha256":"227e1981485364a0560a1423f39d747404ea560e94443996e2054b65e73f9cac","abstract_canon_sha256":"0a2ba14be340d074a33ca16c573fb4bc1eb0fa3075fe6953bbec8c44f810a0bb"},"schema_version":"1.0"},"canonical_sha256":"e0a193abd8a248efd496166e0d0e4baab03ca737a7675aa5cab9e8f042fc5b07","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:54:01.608490Z","signature_b64":"ywfPsI51dEMyPBf8DbPfDyPQBHJ3ppPb9gO4dZCPW9efKqcu74HhaIzHUYrgKaKPj1VEg1VEZULlWJwUWwqADg==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"e0a193abd8a248efd496166e0d0e4baab03ca737a7675aa5cab9e8f042fc5b07","last_reissued_at":"2026-07-05T08:54:01.608012Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:54:01.608012Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2304.00740","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":"2026-07-05T08:54:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"eM3TssfaahlsD176oC0pAx5heScZS0yIJuPMFqMrzVxIc8k4BoMT7evHQG535hmtk0H6HWDiBtFJ7H6oZCtoBA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T17:26:34.068839Z"},"content_sha256":"e0a9567add62d6d3ccc3d1b3d4b3eff87d7a6b8222601bf432ea90614c1d7b7c","schema_version":"1.0","event_id":"sha256:e0a9567add62d6d3ccc3d1b3d4b3eff87d7a6b8222601bf432ea90614c1d7b7c"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:4CQZHK6YUJEO7VEWCZXA2DSLVK","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Inspecting and Editing Knowledge Representations in Language Models","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Belinda Z. Li, Evan Hernandez, Jacob Andreas","submitted_at":"2023-04-03T06:24:10Z","abstract_excerpt":"Neural language models (LMs) represent facts about the world described by text. Sometimes these facts derive from training data (in most LMs, a representation of the word \"banana\" encodes the fact that bananas are fruits). Sometimes facts derive from input text itself (a representation of the sentence \"I poured out the bottle\" encodes the fact that the bottle became empty). We describe REMEDI, a method for learning to map statements in natural language to fact encodings in an LM's internal representation system. REMEDI encodings can be used as knowledge editors: when added to LM hidden represe"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.00740","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/2304.00740/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":"2026-07-05T08:54:01Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"fWehEzQp/8FnBMylIWKTkTC2QWGPPbVDe7RqvVNn/DoDUS3NzTRzNVXNAs87o0viB0uoRnu4jY9DEhXZbQTECQ==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-18T17:26:34.069403Z"},"content_sha256":"b278cba502c4706368a5fcc7ea1655e60d8315228301b5ece8409578e9020352","schema_version":"1.0","event_id":"sha256:b278cba502c4706368a5fcc7ea1655e60d8315228301b5ece8409578e9020352"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/4CQZHK6YUJEO7VEWCZXA2DSLVK/bundle.json","state_url":"https://pith.science/pith/4CQZHK6YUJEO7VEWCZXA2DSLVK/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/4CQZHK6YUJEO7VEWCZXA2DSLVK/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":"2026-08-18T17:26:34Z","links":{"resolver":"https://pith.science/pith/4CQZHK6YUJEO7VEWCZXA2DSLVK","bundle":"https://pith.science/pith/4CQZHK6YUJEO7VEWCZXA2DSLVK/bundle.json","state":"https://pith.science/pith/4CQZHK6YUJEO7VEWCZXA2DSLVK/state.json","well_known_bundle":"https://pith.science/.well-known/pith/4CQZHK6YUJEO7VEWCZXA2DSLVK/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:4CQZHK6YUJEO7VEWCZXA2DSLVK","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":"0a2ba14be340d074a33ca16c573fb4bc1eb0fa3075fe6953bbec8c44f810a0bb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-04-03T06:24:10Z","title_canon_sha256":"227e1981485364a0560a1423f39d747404ea560e94443996e2054b65e73f9cac"},"schema_version":"1.0","source":{"id":"2304.00740","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2304.00740","created_at":"2026-07-05T08:54:01Z"},{"alias_kind":"arxiv_version","alias_value":"2304.00740v3","created_at":"2026-07-05T08:54:01Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2304.00740","created_at":"2026-07-05T08:54:01Z"},{"alias_kind":"pith_short_12","alias_value":"4CQZHK6YUJEO","created_at":"2026-07-05T08:54:01Z"},{"alias_kind":"pith_short_16","alias_value":"4CQZHK6YUJEO7VEW","created_at":"2026-07-05T08:54:01Z"},{"alias_kind":"pith_short_8","alias_value":"4CQZHK6Y","created_at":"2026-07-05T08:54:01Z"}],"graph_snapshots":[{"event_id":"sha256:b278cba502c4706368a5fcc7ea1655e60d8315228301b5ece8409578e9020352","target":"graph","created_at":"2026-07-05T08:54:01Z","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"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2304.00740/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Neural language models (LMs) represent facts about the world described by text. Sometimes these facts derive from training data (in most LMs, a representation of the word \"banana\" encodes the fact that bananas are fruits). Sometimes facts derive from input text itself (a representation of the sentence \"I poured out the bottle\" encodes the fact that the bottle became empty). We describe REMEDI, a method for learning to map statements in natural language to fact encodings in an LM's internal representation system. REMEDI encodings can be used as knowledge editors: when added to LM hidden represe","authors_text":"Belinda Z. Li, Evan Hernandez, Jacob Andreas","cross_cats":[],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-04-03T06:24:10Z","title":"Inspecting and Editing Knowledge Representations in Language Models"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2304.00740","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:e0a9567add62d6d3ccc3d1b3d4b3eff87d7a6b8222601bf432ea90614c1d7b7c","target":"record","created_at":"2026-07-05T08:54:01Z","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":"0a2ba14be340d074a33ca16c573fb4bc1eb0fa3075fe6953bbec8c44f810a0bb","cross_cats_sorted":[],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2023-04-03T06:24:10Z","title_canon_sha256":"227e1981485364a0560a1423f39d747404ea560e94443996e2054b65e73f9cac"},"schema_version":"1.0","source":{"id":"2304.00740","kind":"arxiv","version":3}},"canonical_sha256":"e0a193abd8a248efd496166e0d0e4baab03ca737a7675aa5cab9e8f042fc5b07","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"e0a193abd8a248efd496166e0d0e4baab03ca737a7675aa5cab9e8f042fc5b07","first_computed_at":"2026-07-05T08:54:01.608012Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:54:01.608012Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"ywfPsI51dEMyPBf8DbPfDyPQBHJ3ppPb9gO4dZCPW9efKqcu74HhaIzHUYrgKaKPj1VEg1VEZULlWJwUWwqADg==","signature_status":"signed_v1","signed_at":"2026-07-05T08:54:01.608490Z","signed_message":"canonical_sha256_bytes"},"source_id":"2304.00740","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:e0a9567add62d6d3ccc3d1b3d4b3eff87d7a6b8222601bf432ea90614c1d7b7c","sha256:b278cba502c4706368a5fcc7ea1655e60d8315228301b5ece8409578e9020352"],"state_sha256":"4439c1ad0b6e0e68a7e09fd45156b3820db4e252c14661b22aceeeae2666ad57"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"pokbq62yblzzxJMobBw71Bi2TAQMD8YrauubsFxu3HB9hU8JIvrAqRTEGr38fT/ri/Q6VgsYHjRddzkd9rLCBw==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-18T17:26:34.072006Z","bundle_sha256":"e6f2af9db771566afefd80607d39684cd5dbbb98f768f7bae6cfbdfdb1bc315e"}}