{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2024:3WGFENSIOTTML2R2H4GVLNSF4K","short_pith_number":"pith:3WGFENSI","canonical_record":{"source":{"id":"2406.11830","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-17T17:59:35Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"507bf10cb2b54d5d108512b3af0f74b4bf6fd03bd43fe6142c0d7d22cb845e50","abstract_canon_sha256":"257bdfd752eb72d2d417e94ba6482d108721b57bbbae62a680ea006dbcc0b504"},"schema_version":"1.0"},"canonical_sha256":"dd8c52364874e6c5ea3a3f0d55b645e29decf715f8d690b87d20e031cbd7118b","source":{"kind":"arxiv","id":"2406.11830","version":1},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.11830","created_at":"2026-07-05T08:32:58Z"},{"alias_kind":"arxiv_version","alias_value":"2406.11830v1","created_at":"2026-07-05T08:32:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.11830","created_at":"2026-07-05T08:32:58Z"},{"alias_kind":"pith_short_12","alias_value":"3WGFENSIOTTM","created_at":"2026-07-05T08:32:58Z"},{"alias_kind":"pith_short_16","alias_value":"3WGFENSIOTTML2R2","created_at":"2026-07-05T08:32:58Z"},{"alias_kind":"pith_short_8","alias_value":"3WGFENSI","created_at":"2026-07-05T08:32:58Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2024:3WGFENSIOTTML2R2H4GVLNSF4K","target":"record","payload":{"canonical_record":{"source":{"id":"2406.11830","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-17T17:59:35Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"507bf10cb2b54d5d108512b3af0f74b4bf6fd03bd43fe6142c0d7d22cb845e50","abstract_canon_sha256":"257bdfd752eb72d2d417e94ba6482d108721b57bbbae62a680ea006dbcc0b504"},"schema_version":"1.0"},"canonical_sha256":"dd8c52364874e6c5ea3a3f0d55b645e29decf715f8d690b87d20e031cbd7118b","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T08:32:58.455201Z","signature_b64":"UBTiYHVBMl1N/yzRNVOZ0WumuzRTD6Wg2++a/PEMb8ZCUaeAJIQef227LsSwBH2w7dhxELOQ3gR0AlWpNzueAA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"dd8c52364874e6c5ea3a3f0d55b645e29decf715f8d690b87d20e031cbd7118b","last_reissued_at":"2026-07-05T08:32:58.454743Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T08:32:58.454743Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2406.11830","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":"2026-07-05T08:32:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"DyqVHSaQbAFWRv4D/3h+zaSeP4x5ZqVcpWu4Ko/wQXlFOoQpKvglpwBEOAtYVmh47BcT4ijic61RRE/tiEDeCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T03:10:35.515754Z"},"content_sha256":"cace51613d55f8428693a717ab9d31ba20075da6357405ad306fb0a18f5b27f4","schema_version":"1.0","event_id":"sha256:cace51613d55f8428693a717ab9d31ba20075da6357405ad306fb0a18f5b27f4"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2024:3WGFENSIOTTML2R2H4GVLNSF4K","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Language Modeling with Editable External Knowledge","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Abbas Zeitoun, Alexis Ross, Belinda Z. Li, Emmy Liu, Graham Neubig, Jacob Andreas","submitted_at":"2024-06-17T17:59:35Z","abstract_excerpt":"When the world changes, so does the text that humans write about it. How do we build language models that can be easily updated to reflect these changes? One popular approach is retrieval-augmented generation, in which new documents are inserted into a knowledge base and retrieved during prediction for downstream tasks. Most prior work on these systems have focused on improving behavior during prediction through better retrieval or reasoning. This paper introduces ERASE, which instead improves model behavior when new documents are acquired, by incrementally deleting or rewriting other entries "},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.11830","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/2406.11830/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":"2026-07-05T08:32:58Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"RVX4/Dsd2iekq3Afv3zRmmi/LrR7iuhwbVxayzZujbPp9Vyrya50WlJpKxF4ChSePao90IaeSm+HdbkhHXK+Aw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-08T03:10:35.516267Z"},"content_sha256":"ed88374d0bf55cd1b44eb0dff115bb837791827c1103d3ec2220623a2e5be320","schema_version":"1.0","event_id":"sha256:ed88374d0bf55cd1b44eb0dff115bb837791827c1103d3ec2220623a2e5be320"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/3WGFENSIOTTML2R2H4GVLNSF4K/bundle.json","state_url":"https://pith.science/pith/3WGFENSIOTTML2R2H4GVLNSF4K/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/3WGFENSIOTTML2R2H4GVLNSF4K/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":"2026-08-08T03:10:35Z","links":{"resolver":"https://pith.science/pith/3WGFENSIOTTML2R2H4GVLNSF4K","bundle":"https://pith.science/pith/3WGFENSIOTTML2R2H4GVLNSF4K/bundle.json","state":"https://pith.science/pith/3WGFENSIOTTML2R2H4GVLNSF4K/state.json","well_known_bundle":"https://pith.science/.well-known/pith/3WGFENSIOTTML2R2H4GVLNSF4K/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2024:3WGFENSIOTTML2R2H4GVLNSF4K","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":"257bdfd752eb72d2d417e94ba6482d108721b57bbbae62a680ea006dbcc0b504","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-17T17:59:35Z","title_canon_sha256":"507bf10cb2b54d5d108512b3af0f74b4bf6fd03bd43fe6142c0d7d22cb845e50"},"schema_version":"1.0","source":{"id":"2406.11830","kind":"arxiv","version":1}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2406.11830","created_at":"2026-07-05T08:32:58Z"},{"alias_kind":"arxiv_version","alias_value":"2406.11830v1","created_at":"2026-07-05T08:32:58Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2406.11830","created_at":"2026-07-05T08:32:58Z"},{"alias_kind":"pith_short_12","alias_value":"3WGFENSIOTTM","created_at":"2026-07-05T08:32:58Z"},{"alias_kind":"pith_short_16","alias_value":"3WGFENSIOTTML2R2","created_at":"2026-07-05T08:32:58Z"},{"alias_kind":"pith_short_8","alias_value":"3WGFENSI","created_at":"2026-07-05T08:32:58Z"}],"graph_snapshots":[{"event_id":"sha256:ed88374d0bf55cd1b44eb0dff115bb837791827c1103d3ec2220623a2e5be320","target":"graph","created_at":"2026-07-05T08:32:58Z","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/2406.11830/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"When the world changes, so does the text that humans write about it. How do we build language models that can be easily updated to reflect these changes? One popular approach is retrieval-augmented generation, in which new documents are inserted into a knowledge base and retrieved during prediction for downstream tasks. Most prior work on these systems have focused on improving behavior during prediction through better retrieval or reasoning. This paper introduces ERASE, which instead improves model behavior when new documents are acquired, by incrementally deleting or rewriting other entries ","authors_text":"Abbas Zeitoun, Alexis Ross, Belinda Z. Li, Emmy Liu, Graham Neubig, Jacob Andreas","cross_cats":["cs.AI"],"headline":"","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-17T17:59:35Z","title":"Language Modeling with Editable External Knowledge"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2406.11830","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:cace51613d55f8428693a717ab9d31ba20075da6357405ad306fb0a18f5b27f4","target":"record","created_at":"2026-07-05T08:32:58Z","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":"257bdfd752eb72d2d417e94ba6482d108721b57bbbae62a680ea006dbcc0b504","cross_cats_sorted":["cs.AI"],"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2024-06-17T17:59:35Z","title_canon_sha256":"507bf10cb2b54d5d108512b3af0f74b4bf6fd03bd43fe6142c0d7d22cb845e50"},"schema_version":"1.0","source":{"id":"2406.11830","kind":"arxiv","version":1}},"canonical_sha256":"dd8c52364874e6c5ea3a3f0d55b645e29decf715f8d690b87d20e031cbd7118b","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"dd8c52364874e6c5ea3a3f0d55b645e29decf715f8d690b87d20e031cbd7118b","first_computed_at":"2026-07-05T08:32:58.454743Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T08:32:58.454743Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"UBTiYHVBMl1N/yzRNVOZ0WumuzRTD6Wg2++a/PEMb8ZCUaeAJIQef227LsSwBH2w7dhxELOQ3gR0AlWpNzueAA==","signature_status":"signed_v1","signed_at":"2026-07-05T08:32:58.455201Z","signed_message":"canonical_sha256_bytes"},"source_id":"2406.11830","source_kind":"arxiv","source_version":1}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:cace51613d55f8428693a717ab9d31ba20075da6357405ad306fb0a18f5b27f4","sha256:ed88374d0bf55cd1b44eb0dff115bb837791827c1103d3ec2220623a2e5be320"],"state_sha256":"404e30508e2c9d741d5e37b38739b7f5ecfe6f5be229c22502a9092e3ca7f791"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"hqLVuxHdTTMjUq7BidlmofJZT6fsYFhurf2u0X12UzCMQFDdvknYrw5BdMW1Z+LYZx07ubgrlzmgnopTBRApDQ==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-08T03:10:35.520020Z","bundle_sha256":"74a47ae57a4900d531bbc1fe70f9ed24ea393db30eac48bbf6990ba69137a62d"}}