{"as_of":"2026-08-08T11:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6b7953ed032138d1f7c7141f193744c695905044516193ff8f1f960c4cb22f4f","coverage":[{"denominator":79,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":79,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:31:47.099912Z","state":"measured"},{"denominator":79,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":79,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2505.18690/citation-record","integrity":"/paper/2505.18690/integrity","json":"/paper/2505.18690/citation-record.json","paper":"/paper/2505.18690"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:55.107937Z","title":"GLM-130b: An open bilingual pre-trained model,","venue":null,"work_id":"eeda6d77-ca58-4124-90fd-5279e2daa954","year":2023},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:39.776838Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:210be11d3bc4c37dd1d60c85d14d56a843a62e9671e73f4df445d068569ad1d1","observation_id":"38731501-1ea7-4f45-9be1-b6ea326cede9","resolution":{"observed_at":"2026-08-07T14:31:55.172905Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.09288","last_updated":"2023-07-19T17:08:59Z","snapshot_observed_at":"2026-08-07T12:56:43.323460Z","submitted_at":"2023-07-18T14:31:57Z","title":"Llama 2: Open Foundation and Fine-Tuned Chat Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.09288","snapshot_observed_at":"2026-08-07T14:31:39.829487Z","title":"Llama 2: Open foundation and fine-tuned chat models,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:39.829487Z"},"links":{"cited_paper":"/paper/2307.09288","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:91f49c09fa97854a3b3f553a6275559a93153b66b5d801f50282112f86c41f1a","observation_id":"e77ddd87-8ef6-4d23-af9a-be7d454d96da","resolution":{"observed_at":"2026-08-07T14:31:39.829487Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-07T07:30:12.213965Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T14:31:39.917966Z","title":"Gpt-4 technical report,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:39.917966Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:2be528895ad2abce0884809a46a01c8c0007c9cd5f48de8e8bcd3ee9efe5b7e3","observation_id":"301010ed-5b8a-4fa6-a254-fc783efa4d8f","resolution":{"observed_at":"2026-08-07T14:31:39.917966Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:39.967830Z","title":"How can we know what language models know?","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:39.967830Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:fc06165dc67c9428b3b0ac80f70a4f0d2ece975c456e01fb0c5d80a73cca96bf","observation_id":"f59bc218-21e7-45cc-9009-96ad40abe1e0","resolution":{"observed_at":"2026-08-07T14:31:39.967830Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.06031","last_updated":"2022-04-12T18:35:23Z","snapshot_observed_at":"2026-08-01T14:38:09.052047Z","submitted_at":"2022-04-12T18:35:23Z","title":"A Review on Language Models as Knowledge Bases","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.06031","snapshot_observed_at":"2026-08-07T14:31:40.049854Z","title":"A review on language models as knowledge bases,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:40.049854Z"},"links":{"cited_paper":"/paper/2204.06031","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:542a91be6a4c2a7b64f8f29d71607a0c6d8d45f216bc74d66ca88845ea24c073","observation_id":"eb7f7ec9-3f5d-4158-9ad4-6b4c968b1f8d","resolution":{"observed_at":"2026-08-07T14:31:40.049854Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:54.905721Z","title":"How do large language models capture the ever-changing world knowledge? a review of recent advances,","venue":null,"work_id":"452f460c-c417-465f-8394-017c07d048b5","year":2023},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:40.111612Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:a018bd18c0c8103feea82bb023fc08d275bdc386626e77af7eb8a0b87ce8636d","observation_id":"02edf73c-00ae-4507-8ab5-244991fa8a80","resolution":{"observed_at":"2026-08-07T14:31:55.008551Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:54.747851Z","title":"Pre-train, prompt, and predict: A systematic survey of prompting methods in natural language processing,","venue":null,"work_id":"c98f10fb-0b7a-4fd7-beba-48cea4d5f05e","year":2023},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:40.185021Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:4fe9d8a09bc297e70a6bca933557245afb20872f20d25d753eecbe1175e8234d","observation_id":"16cb1b1d-b4aa-4ed7-95d4-7c60ff1cba81","resolution":{"observed_at":"2026-08-07T14:31:54.825554Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:54.592047Z","title":"Reasoning abilities of large language models: In-depth analysis on the abstraction and reasoning corpus,","venue":null,"work_id":"196ccea1-1c7b-4a24-9339-73aac5cea7b9","year":null},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:40.252530Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:5389a52c2d11fd331e89e0a34de2d3ebdae45320847cfb37560d2b1e146dd381","observation_id":"f1e55b5d-cb7f-4dc3-a826-fd1d3955c036","resolution":{"observed_at":"2026-08-07T14:31:54.628893Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:40.321544Z","title":"Language models are few-shot learners,","venue":null,"work_id":null,"year":1901},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:40.321544Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:ed0fce3ae2eba6f849fb35e786376672308ed48ff77037e213b18b18f54baada","observation_id":"26daeb1b-06ab-4f1a-9f97-b52dcc07640d","resolution":{"observed_at":"2026-08-07T14:31:40.321544Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:40.388333Z","title":"Training language models to follow instructions with human feedback,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:40.388333Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:f2cfb7ce7a0f04888f5bf6d8c17f038422d5b63b0cbe2c3b6684b0b2cdee3758","observation_id":"9dd4ec5b-b0f1-4ee6-9e2d-a5ad1591de0a","resolution":{"observed_at":"2026-08-07T14:31:40.388333Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.08700","last_updated":"2024-10-02T07:26:40Z","snapshot_observed_at":"2026-07-31T15:25:35.406497Z","submitted_at":"2024-04-10T18:08:59Z","title":"DyKnow: Dynamically Verifying Time-Sensitive Factual Knowledge in LLMs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.08700","snapshot_observed_at":"2026-08-07T14:31:40.500604Z","title":"Is your llm outdated? benchmarking llms & alignment algorithms for time-sensitive knowledge,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:40.500604Z"},"links":{"cited_paper":"/paper/2404.08700","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:0145e9891619b9912a5461abc215c469e8d07728d31264f923d88d1f0c245343","observation_id":"a844730f-86c4-44fe-8bd2-55eef7b1ff45","resolution":{"observed_at":"2026-08-07T14:31:40.500604Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:54.416503Z","title":"Survey of hallucination in natural language generation,","venue":null,"work_id":"dbd12e6a-1958-4029-ad49-4261649960b4","year":2023},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:40.591738Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:5070c8f4288efa94189bec7a4fa53fcf4300f9b571378b3f1a29404dd69f3a8e","observation_id":"10a3dfea-9223-47d7-9b72-91b73ba4d5b3","resolution":{"observed_at":"2026-08-07T14:31:54.516488Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2004.00345","last_updated":"2020-07-22T08:00:15Z","snapshot_observed_at":"2026-08-08T04:31:41.861319Z","submitted_at":"2020-04-01T11:26:27Z","title":"Editable Neural Networks","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2004.00345","snapshot_observed_at":"2026-08-07T14:31:40.687789Z","title":"Editable neural networks,","venue":null,"work_id":null,"year":2004},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:40.687789Z"},"links":{"cited_paper":"/paper/2004.00345","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:b3d5cadc0f4d202d394a8b93571b59e7981178d9223f5813737819fe38545734","observation_id":"e91d0321-c603-4742-ad21-2ff990bd93fd","resolution":{"observed_at":"2026-08-07T14:31:40.687789Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:54.206563Z","title":"Modifying memories in transformer models,","venue":null,"work_id":"6c05e26b-fc78-491e-9001-c077f1329043","year":2020},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:40.782601Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:2ceb8ec024c4d1a92e9dcbe8e458e01b997ef7ee96a8c9fed7e22fc2617d48c7","observation_id":"ab09771b-7906-435c-8550-117d3c4ba7dc","resolution":{"observed_at":"2026-08-07T14:31:54.272149Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:54.021071Z","title":"Locating and editing factual associations in gpt,","venue":null,"work_id":"2b7d3ad1-9bc2-4138-8252-3e0c7929defd","year":2022},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:40.855909Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:c470ba682ebce72247c807ac6fa25f8928a339580a3f21867269e57ad4d55bd4","observation_id":"505dabc3-0aac-4b29-a02d-1585e2e4e66a","resolution":{"observed_at":"2026-08-07T14:31:54.106545Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:53.826857Z","title":"Mass-editing memory in a transformer,","venue":null,"work_id":"39e83e93-3968-4564-9c01-47a2e766590f","year":null},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:40.922674Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:0b9b4728cdd7242e1cea87fd6291b2c1da90b9d81b9ef9b56de87f83f164014b","observation_id":"aba604b8-ccb7-4470-a147-089c3253c1a4","resolution":{"observed_at":"2026-08-07T14:31:53.897997Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:53.579006Z","title":"Pmet: Precise model editing in a transformer,","venue":null,"work_id":"58d58cec-f352-443b-b73d-2884c4aa5cb7","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:41.008811Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:30c3c1894598068efecaa81bf08c84d30df972c3cd858d1598f434b821f19b4e","observation_id":"626f799a-e0b2-4d74-acf7-532dd4a12a83","resolution":{"observed_at":"2026-08-07T14:31:53.694550Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:53.405607Z","title":"Editing factual knowledge in language models,","venue":null,"work_id":"35aa3a9c-4926-4436-8d9d-574fcc552e63","year":2021},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:41.097410Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:a04cb6171ad33c6ef3479a15cc97c3427572c2b83e326464321a50113573823d","observation_id":"c0a053d3-348c-49f7-b052-7c56a28a08d0","resolution":{"observed_at":"2026-08-07T14:31:53.536460Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:53.241389Z","title":"Massive editing for large language models via meta learning,","venue":null,"work_id":"39b8f234-6dc7-4876-8396-9ebeb14af60d","year":null},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:41.196054Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:62b83f7456ee31ca76085bf194a67bd287d46b92bb65129ea17456c61a361b8b","observation_id":"1b7f3abf-9979-49d4-9177-ba045aa7eadd","resolution":{"observed_at":"2026-08-07T14:31:53.322271Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:52.995449Z","title":"Transformer-patcher: One mis- take worth one neuron,","venue":null,"work_id":"887884ba-1ba6-4677-8c9a-360a647f98d0","year":2023},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:41.289095Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:4d0930dcabf7c34d6f083f79aba327ff5b9f59fb925b0d8d87c24fffcb83ca1e","observation_id":"e2a51fef-25da-440d-b425-8de768ca2306","resolution":{"observed_at":"2026-08-07T14:31:53.136731Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:52.804019Z","title":"Melo: Enhancing model editing with neuron-indexed dynamic lora,","venue":null,"work_id":"5dcb8bb5-f2df-4f5b-988d-28d490416ef3","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:41.384205Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:b370124b9750248af19a38c4fe6142dffe6e14d9bdbbe42f2a03da381fd35647","observation_id":"77c9edba-b000-4abf-a234-e298286c152f","resolution":{"observed_at":"2026-08-07T14:31:52.876242Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:52.627585Z","title":"WISE: Rethinking the knowledge memory for lifelong model editing of large language models,","venue":null,"work_id":"2fc968bd-086c-4609-8ed7-1f59ef0ff101","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:41.474606Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:be616e6c188b1c8bef39209bc59222fa81359a827ef780fb56bd17f4ede19f49","observation_id":"00c90db0-63f6-401b-8445-bcb9594f5e24","resolution":{"observed_at":"2026-08-07T14:31:52.686459Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:52.496732Z","title":"Can we edit factual knowledge by in-context learning?","venue":null,"work_id":"52ef8ef9-ffc1-4147-b378-cb31835d04f4","year":2023},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:41.594695Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:553089c17906998e628f5d6b766cf91add44ecb1df4f9e40885b40a59d1d8d55","observation_id":"ae16608a-80c0-4298-9613-aeb1a301e393","resolution":{"observed_at":"2026-08-07T14:31:52.558301Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:52.384122Z","title":"Evaluating the ripple effects of knowledge editing in language models,","venue":null,"work_id":"094eb94a-4990-47bc-a0b2-8bee4b2ae57f","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:41.647618Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:08ee0b3cb7c9b7a8e7957949e2fb5a07060241a01740433a81a4b14fb6b6025c","observation_id":"c664bc52-ffc2-49a2-9dbe-4cd0162aef61","resolution":{"observed_at":"2026-08-07T14:31:52.433386Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:52.257533Z","title":"Aging with grace: Lifelong model editing with discrete key-value adaptors,","venue":null,"work_id":"ea558dc9-b4f3-4eee-b4f6-f938dd284304","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:41.733936Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:1f16e3e7c07be52832e8ba0f51d4e27f5dbff8388593c19875bebf83f03bebe0","observation_id":"9eb90969-f123-48e2-8990-906758010db9","resolution":{"observed_at":"2026-08-07T14:31:52.323063Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:52.143284Z","title":"Memory-based model editing at scale,","venue":null,"work_id":"bfda436a-ac4a-4730-abe3-c2c742caa9bb","year":2022},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:41.793847Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:8eb8cf71ebe3506ad0a2b813e8c10ef02e471b5f8cbfe97af9630d82911ead2b","observation_id":"e5ce3e85-16d5-4767-8762-a0137ecdea78","resolution":{"observed_at":"2026-08-07T14:31:52.198420Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2401.01286","last_updated":"2024-11-17T06:50:44Z","snapshot_observed_at":"2026-08-04T22:39:05.385766Z","submitted_at":"2024-01-02T16:54:58Z","title":"A Comprehensive Study of Knowledge Editing for Large Language Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2401.01286","snapshot_observed_at":"2026-08-07T14:31:41.878342Z","title":"A comprehensive study of knowledge editing for large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:41.878342Z"},"links":{"cited_paper":"/paper/2401.01286","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:bed022af75e7563178cfa4c1e469a93ef5a54933d97e90731c2a6299278d14ac","observation_id":"816aca17-5a53-4b76-a423-06463a873fc0","resolution":{"observed_at":"2026-08-07T14:31:41.878342Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:52.020938Z","title":"Model editing harms general abilities of large language models: Regularization to the rescue,","venue":null,"work_id":"120a839a-d0c7-4f12-8c41-d9914e09e1d5","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:41.987415Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:428ca1c852fbefc1173c7ee4722e9d150686fb49a9744b57327549dd3dbdb2be","observation_id":"aef169fc-df6e-4a2c-b131-89bede6db087","resolution":{"observed_at":"2026-08-07T14:31:52.091963Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.02355","last_updated":"2025-04-22T16:15:47Z","snapshot_observed_at":"2026-08-07T08:26:37.732830Z","submitted_at":"2024-10-03T10:06:27Z","title":"AlphaEdit: Null-Space Constrained Knowledge Editing for Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.02355","snapshot_observed_at":"2026-08-07T14:31:42.066976Z","title":"Alphaedit: Null-space constrained knowledge editing for language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:42.066976Z"},"links":{"cited_paper":"/paper/2410.02355","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:9ea7036956dbdcf75681330103235057be53ecbb4e28a9512210e82763071ac2","observation_id":"35c07487-d948-405c-a2d4-3ed29b4deaf3","resolution":{"observed_at":"2026-08-07T14:31:42.066976Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.10512","last_updated":"2023-12-20T20:56:14Z","snapshot_observed_at":"2026-07-06T15:05:16.471478Z","submitted_at":"2023-03-18T22:36:25Z","title":"AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.10512","snapshot_observed_at":"2026-08-07T14:31:42.123442Z","title":"Adalora: Adaptive budget allocation for parameter-efficient fine-tuning,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:42.123442Z"},"links":{"cited_paper":"/paper/2303.10512","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:53a76bebf8ec71f6c217d60467c1e337ab72645e4897c532b260788c9a792203","observation_id":"c429c266-418d-4ce7-a27f-0f965fa7caa5","resolution":{"observed_at":"2026-08-07T14:31:42.123442Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:51.865310Z","title":"Language models as knowledge bases?","venue":null,"work_id":"fdae7881-a742-4cc3-b06b-81f5965e55f6","year":2019},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:42.187354Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:ce69846fc9d89b3510bebbdcceac5c78fcb713e2567603c3484590d9f55682fb","observation_id":"f7072dd1-2c76-4e8c-b4d6-7b38116c8008","resolution":{"observed_at":"2026-08-07T14:31:51.955561Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:51.751217Z","title":"Transformer feed-forward layers are key-value memories,","venue":null,"work_id":"e4650475-36fd-4609-9517-dbc58b84c574","year":2021},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:42.279201Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:ce8273523e9e3a3395e22633ee82af07ce7b3fd4eeb7f9e7c743a026ebf89866","observation_id":"c159902c-c255-4a82-a1d2-29b045bf1bdb","resolution":{"observed_at":"2026-08-07T14:31:51.804409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:51.620884Z","title":"Dissecting recall of factual associations in auto-regressive language models,","venue":null,"work_id":"d5aafe77-97e0-40d8-983a-36d931bf5592","year":2023},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:42.368783Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:6c0439387609bce4b5d4002345088d4e3348095587674ae18a6f7b7355567bab","observation_id":"3281524e-62d9-4109-aeea-0d251b22b454","resolution":{"observed_at":"2026-08-07T14:31:51.674470Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:51.498147Z","title":"Knowledge neurons in pretrained transformers,","venue":null,"work_id":"3d03cfdf-e10c-4cba-90a4-a4edf45cbcd5","year":2022},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:42.434650Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:1bc0633a6f919be1050806b248c9be6b08f951ecf086480e0618c9e5567e2ac8","observation_id":"89e91f3f-f336-48ee-a32d-53680564c417","resolution":{"observed_at":"2026-08-07T14:31:51.552705Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:51.397226Z","title":"Knowledge mechanisms in large language models: A survey and perspective","venue":null,"work_id":"d9b08bf0-bd53-420b-95a2-71e94d1b037e","year":null},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:42.491818Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:f1be2a08b55aa8521fdb0613c632edd49d3dc6f7afb5d36db99a3a8df827b77e","observation_id":"9a203546-0b35-4ae9-b5af-3c583433aa6e","resolution":{"observed_at":"2026-08-07T14:31:51.440024Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:51.264467Z","title":"Knowledge graph enhanced large language model editing,","venue":null,"work_id":"fd0c314c-8206-4c04-a36e-84ae4b4e7c68","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:42.595449Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:01a2bd8794c85c49435cd04bce7dfc95b71c7f437d5226e15c285190fe485e2f","observation_id":"044d7b8b-eee1-48da-9ded-a478e9c9ccbe","resolution":{"observed_at":"2026-08-07T14:31:51.316161Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.05330","last_updated":"2024-10-11T01:37:13Z","snapshot_observed_at":"2026-08-05T02:10:05.499726Z","submitted_at":"2024-03-08T14:07:44Z","title":"Consecutive Batch Model Editing with HooK Layers","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.05330","snapshot_observed_at":"2026-08-07T14:31:42.660817Z","title":"Consecutive model editing with batch alongside hook layers,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:42.660817Z"},"links":{"cited_paper":"/paper/2403.05330","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:1d0e9c9820e917fbccd4f12a26d19992a1f9b5da2ca99ba14f778012b174a4bb","observation_id":"334d4422-043e-44cf-8f1c-ae47e644f721","resolution":{"observed_at":"2026-08-07T14:31:42.660817Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:51.171252Z","title":"Wilke: Wise-layer knowledge editor for lifelong knowledge editing,","venue":null,"work_id":"b73088a8-7e2a-4268-a435-78f7f061d720","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:42.758453Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:0252e2e6e80785bc7fdab35c7723b8037279011766cb350801711dbfdd941044","observation_id":"c7bfb903-1b04-4aeb-82dd-3be2a284a9bf","resolution":{"observed_at":"2026-08-07T14:31:51.202023Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.19521","last_updated":"2024-05-24T15:06:45Z","snapshot_observed_at":"2026-07-06T17:52:38.371963Z","submitted_at":"2024-03-28T15:54:59Z","title":"Interpreting Key Mechanisms of Factual Recall in Transformer-Based Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.19521","snapshot_observed_at":"2026-08-07T14:31:42.870502Z","title":"Interpreting key mechanisms of factual recall in transformer-based language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:42.870502Z"},"links":{"cited_paper":"/paper/2403.19521","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:5c008abfaec307cfe3ac68e959081f3bb45856a9e5dd9da5deacdcc5482817f1","observation_id":"259af53f-446f-43a0-a5ae-d8cda77df9f0","resolution":{"observed_at":"2026-08-07T14:31:42.870502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:51.044617Z","title":"Does knowledge localization hold true? surprising differences between entity and relation perspectives in language models,","venue":null,"work_id":"db31a1ac-e521-49c8-b5c4-0eb727590d33","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:42.989451Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:dba68ca574e45e65b3ce3755a1bd50af43e889607cfa591eedbd8184abea38f8","observation_id":"376589d0-7e9b-4641-8587-609021e4d794","resolution":{"observed_at":"2026-08-07T14:31:51.135850Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.05405","last_updated":"2024-04-08T11:11:31Z","snapshot_observed_at":"2026-08-05T03:30:28.158531Z","submitted_at":"2024-04-08T11:11:31Z","title":"Physics of Language Models: Part 3.3, Knowledge Capacity Scaling Laws","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.05405","snapshot_observed_at":"2026-08-07T14:31:43.086949Z","title":"Physics of language models: Part 3.3, knowledge capacity scaling laws,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:43.086949Z"},"links":{"cited_paper":"/paper/2404.05405","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:4914f3b31de75d688fe89164e1abcd5274f124f7fc4081ae55eb04763dcd49df","observation_id":"fac541c2-6b00-412c-af75-dd51c7efab8e","resolution":{"observed_at":"2026-08-07T14:31:43.086949Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:50.702872Z","title":"Calibrating factual knowledge in pretrained language models,","venue":null,"work_id":"b42d5a75-fcdc-4942-8795-9964e9472b64","year":2022},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:43.189858Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:a8c5e0b7065239da9ef4ea1ab746e108b4486a4bbb3d92041d768787ff0df767","observation_id":"a8d380a8-5976-482f-91e9-bec9e77025c3","resolution":{"observed_at":"2026-08-07T14:31:50.871321Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:50.428279Z","title":"Dafnet: Dynamic auxiliary fusion for sequential model editing in large language models,","venue":null,"work_id":"0f41b1f8-d6d4-4c46-abe8-08f10a4a225d","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:43.284990Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:b249a9b4d2cb632cb4a9ca2653cc3eb4d466fc623326e34608ee87956bf01122","observation_id":"be7f7aef-16d2-4912-b330-05fe6ec4bdb8","resolution":{"observed_at":"2026-08-07T14:31:50.580858Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.19086","last_updated":"2024-06-02T02:32:31Z","snapshot_observed_at":"2026-07-06T18:21:57.091728Z","submitted_at":"2024-05-29T13:49:44Z","title":"MEMoE: Enhancing Model Editing with Mixture of Experts Adaptors","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.19086","snapshot_observed_at":"2026-08-07T14:31:43.376260Z","title":"Memoe: Enhancing model editing with mixture of experts adaptors,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:43.376260Z"},"links":{"cited_paper":"/paper/2405.19086","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:e2864f3ec56779604cd531b4fc6762d8c583e909afff0469a81cdae4a9b7d8a4","observation_id":"992d3f5f-1805-4d52-a985-b77ec1a010e5","resolution":{"observed_at":"2026-08-07T14:31:43.376260Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:50.117520Z","title":"Lemoe: Advanced mixture of experts adaptor for lifelong model editing of large language models,","venue":null,"work_id":"1ac2a63e-c542-4864-b5c0-5cd47f6ad118","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:43.470540Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:ad25ceefe3feef9cc15798d9bdb866a1e597c184e3549b108a146df3d71e5245","observation_id":"e60f5aea-9c3e-4e4c-99c9-2f7a302215ce","resolution":{"observed_at":"2026-08-07T14:31:50.283413Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:49.880233Z","title":"Roselora: Row and column-wise sparse low-rank adaptation of pre-trained language model for knowledge editing and fine-tuning,","venue":null,"work_id":"c9b31480-6c6b-487b-bae8-37cfc3871ae7","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:43.568049Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:5928df59b97788ac01f642f75580e4fa7a0a4ef2e6d06292eed7c0172849e519","observation_id":"0e3a9abd-bb92-4da6-91d7-f4a69f70adcd","resolution":{"observed_at":"2026-08-07T14:31:49.963946Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:49.605016Z","title":"Towards understanding the mixture-of-experts layer in deep learning,","venue":null,"work_id":"8ef3f83c-49d4-481c-b910-5da3e3fb8a94","year":2022},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:43.677921Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:e9da2ad100a474a703bf1848977973e12e5e913b48ae94bdeb352bd502171bbd","observation_id":"d6cfa47b-3775-4bb6-8220-6b0134cc865f","resolution":{"observed_at":"2026-08-07T14:31:49.677725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.04840","last_updated":"2024-10-08T16:14:43Z","snapshot_observed_at":"2026-07-06T19:28:52.383175Z","submitted_at":"2024-10-07T08:54:23Z","title":"Strong Model Collapse","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.04840","snapshot_observed_at":"2026-08-07T14:31:43.769407Z","title":"Strong model collapse,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:43.769407Z"},"links":{"cited_paper":"/paper/2410.04840","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:db2d44f117b0dbc0bd9cebca797c33e20469b67c89f9efc2d8032c3d5d1a6817","observation_id":"c13c00d5-783b-41ba-be42-f4ec591f9d3d","resolution":{"observed_at":"2026-08-07T14:31:43.769407Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:49.476660Z","title":"Mquake: Assessing knowledge editing in language models via multi-hop questions,","venue":null,"work_id":"ecb0121b-6dea-4081-81fb-41e6b2149441","year":2023},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:43.884433Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:c5bd4b9207a29c9c75cbad9562cf51ec01d5fffc25ca29a14af7bf213328afd4","observation_id":"ab451e3a-a0d9-4244-a498-4b998beb2d9f","resolution":{"observed_at":"2026-08-07T14:31:49.537009Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:49.390129Z","title":"Learning to edit: Aligning llms with knowledge editing,","venue":null,"work_id":"6371bb3b-4a4f-4b5e-819b-a21a2688bbff","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:43.995443Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:b6331840256a3e93209c0bb556aa01921bc9adb3dc45c8ec6e5d01e499cba23b","observation_id":"09f1908e-f9fe-46be-ad68-1ac47e1ecb82","resolution":{"observed_at":"2026-08-07T14:31:49.442290Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:49.229430Z","title":"Lifelong knowledge editing for llms with retrieval-augmented continuous prompt learning,","venue":null,"work_id":"444ccd4a-ee7d-43b4-a2ff-5fddea0d0dfa","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:44.121940Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:9820ab9084e127916f7e8188606d9895e788dfe6c534b0b11f23478eada8d0fc","observation_id":"a01656a3-57d9-437e-9bb7-3b41d8f9786f","resolution":{"observed_at":"2026-08-07T14:31:49.293913Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:49.108130Z","title":"Larimar: Large language models with episodic memory control,","venue":null,"work_id":"20795ba3-f030-4ec3-a495-a5110c29b08f","year":null},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:44.228350Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:b15e289a0cbb0be2d4d08d7baca544199e14837d4e5b791d7da3f7a4b1d98306","observation_id":"06fed68f-c930-4cf5-9f59-6ec7e48a1fe6","resolution":{"observed_at":"2026-08-07T14:31:49.163042Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.10626","last_updated":"2025-02-27T06:59:27Z","snapshot_observed_at":"2026-08-07T18:16:31.216622Z","submitted_at":"2025-02-15T01:35:13Z","title":"K-Edit: Language Model Editing with Contextual Knowledge Awareness","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.10626","snapshot_observed_at":"2026-08-07T14:31:44.378653Z","title":"K-edit: Language model editing with contextual knowledge awareness,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:44.378653Z"},"links":{"cited_paper":"/paper/2502.10626","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:1238d67a363648f2cf973629c261a1d7e046eeaf033f9ebd357da6f3d1312338","observation_id":"648139a0-bc97-4fc5-a427-dda3847de6cf","resolution":{"observed_at":"2026-08-07T14:31:44.378653Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01436","last_updated":"2024-10-25T06:20:16Z","snapshot_observed_at":"2026-07-06T18:24:30.706727Z","submitted_at":"2024-06-03T15:28:21Z","title":"Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01436","snapshot_observed_at":"2026-08-07T14:31:44.476652Z","title":"Editing the mind of giants: An in-depth exploration of pitfalls of knowledge editing in large language models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:44.476652Z"},"links":{"cited_paper":"/paper/2406.01436","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:75ebc7d5f5be85ed05c790392c7a58a30f54a1bdc66b2d91ed4e2d6ef02c4956","observation_id":"524da495-469b-44b8-82cb-20feb1926e29","resolution":{"observed_at":"2026-08-07T14:31:44.476652Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:48.989648Z","title":"Emptying the ocean with a spoon: Should we edit models?","venue":null,"work_id":"da75dd35-1be9-4a9d-8c75-0ed5dbd350f0","year":2023},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:44.610352Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:3f70522c7e517af484346035586b1e034a76a77f52bb7eb157b02e736be5a61b","observation_id":"bade717a-fc21-497d-be52-54573450367c","resolution":{"observed_at":"2026-08-07T14:31:49.044032Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2403.07825","last_updated":"2024-10-18T03:06:39Z","snapshot_observed_at":"2026-08-01T02:26:35.737703Z","submitted_at":"2024-03-12T17:04:28Z","title":"Efficiently Quantifying and Mitigating Ripple Effects in Model Editing","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.07825","snapshot_observed_at":"2026-08-07T14:31:44.715542Z","title":"The missing piece in model editing: A deep dive into the hidden damage brought by model editing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:44.715542Z"},"links":{"cited_paper":"/paper/2403.07825","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:9520d018fcdebb9d5ace04c52bf1973fbbb60ca6a09ec10df2f73d6e47c46389","observation_id":"db421f82-ed87-4581-8c5a-c29db5654a0c","resolution":{"observed_at":"2026-08-07T14:31:44.715542Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:48.875501Z","title":"The butterfly effect of model editing: Few edits can trigger large language models collapse,","venue":null,"work_id":"ec8646d5-e3d3-4b0c-88b3-db9e5971f4d5","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:44.810613Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:23a8baba6aae50f19c155a6a4da56a2065ba8928c4ca6364702ac5ce8c36a8fe","observation_id":"ae564507-6288-42bf-ae21-8e8a7e6bb8fa","resolution":{"observed_at":"2026-08-07T14:31:48.913552Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:48.769899Z","title":"The fall of rome: Understanding the collapse of llms in model editing,","venue":null,"work_id":"8abeab48-b4eb-42ad-a3a3-5e60cf462ab7","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:44.937484Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:62f9502a838c14cf6cbc4f747081371dc8bbe0221b527826056fa18153f00613","observation_id":"255710b3-23b8-4a8f-af2e-3fc6fc11ed32","resolution":{"observed_at":"2026-08-07T14:31:48.819073Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:48.652855Z","title":"“flex tape can’t fix that","venue":null,"work_id":"b0f29b3b-4c66-449c-81b6-91bee860fc5c","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:45.062433Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:eccce210d58b56691128e3ea95735df6c238a9fd49c222fcc263cd3a680a57c9","observation_id":"b9c8df17-9578-48a1-bda6-8a001412964e","resolution":{"observed_at":"2026-08-07T14:31:48.704614Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:48.516928Z","title":"Llama 3 model card,","venue":null,"work_id":"18b14d56-468a-49a0-ad40-9c5097f09824","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:45.172287Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:0f5b92c7c2218072addd2bd5b9c3e90cf0428458c930913c415a76468b3ada8e","observation_id":"058fba4a-f22c-4852-a885-7d01afd6a5cd","resolution":{"observed_at":"2026-08-07T14:31:48.567991Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2310.06825","last_updated":"2023-10-10T17:54:58Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-10-10T17:54:58Z","title":"Mistral 7B","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2310.06825","snapshot_observed_at":"2026-08-07T14:31:45.273394Z","title":"Mistral 7b,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:45.273394Z"},"links":{"cited_paper":"/paper/2310.06825","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:192feb24eb854bc6e1eb07709b775d130c4ce255de83a12c410b6be45254ae23","observation_id":"7b61df50-f794-4efb-90d0-80b20c736328","resolution":{"observed_at":"2026-08-07T14:31:45.273394Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.12948","last_updated":"2026-01-04T03:57:36Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-01-22T15:19:35Z","title":"DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.12948","snapshot_observed_at":"2026-08-07T14:31:45.355018Z","title":"Deepseek-r1: Incentivizing reasoning capability in llms via reinforcement learning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:45.355018Z"},"links":{"cited_paper":"/paper/2501.12948","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:02ce2c48ddfc5716ab223da2c979590a13e37f5c20c5f51db33fde10b479bf5f","observation_id":"6deee019-61a5-4686-a815-5f261ba6b7ab","resolution":{"observed_at":"2026-08-07T14:31:45.355018Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.05212","last_updated":"2025-03-07T08:04:25Z","snapshot_observed_at":"2026-08-07T17:22:46.626681Z","submitted_at":"2025-03-07T08:04:25Z","title":"Knowledge Updating? No More Model Editing! Just Selective Contextual Reasoning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.05212","snapshot_observed_at":"2026-08-07T14:31:45.450405Z","title":"Knowledge updating? no more model editing! just selective contextual reasoning,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:45.450405Z"},"links":{"cited_paper":"/paper/2503.05212","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:cf7453a188905c4290f08be4e7ec4ec5f14ee145872bacb445eabfd26ebdaf1b","observation_id":"e6c2ad57-6f20-4c6b-bfa5-cba06cbab672","resolution":{"observed_at":"2026-08-07T14:31:45.450405Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:48.362961Z","title":"Zero-shot relation extraction via reading comprehension,","venue":null,"work_id":"98251e6a-2e7e-4663-93c7-1fd8455fdbff","year":null},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:45.536609Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:e16ccd9d6852483226117051c18b83f04df204fe8be4c53ffa3d4edabcf2946f","observation_id":"4b400258-bf9e-4b97-8422-4f6b01e19ba1","resolution":{"observed_at":"2026-08-07T14:31:48.433157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.13093","last_updated":"2024-04-21T06:13:45Z","snapshot_observed_at":"2026-07-31T15:54:07.408856Z","submitted_at":"2024-02-20T15:36:41Z","title":"Event-level Knowledge Editing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.13093","snapshot_observed_at":"2026-08-07T14:31:45.736717Z","title":"Event-level knowledge editing,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":65,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:45.736717Z"},"links":{"cited_paper":"/paper/2402.13093","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:dd31601b84c82c25aa1c8bb4db4c959a23fcccf41313fe26dbac7a456f1c1847","observation_id":"1e002199-d82d-4850-ac04-61b9e08ca034","resolution":{"observed_at":"2026-08-07T14:31:45.736717Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:48.098745Z","title":"Editing large language models: Problems, methods, and opportunities,","venue":null,"work_id":"593f6324-a72c-4740-95cc-6b123d2acb07","year":2023},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:45.878523Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:24283e4c8df4a8c63c1ed1177df59737f0f2f9ef25023252a42a3422f05f86ae","observation_id":"c9024312-edff-4e18-89f2-e265846cef72","resolution":{"observed_at":"2026-08-07T14:31:48.161642Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:47.932277Z","title":"Numinamath: The largest public dataset in ai4maths with 860k pairs of competition math problems and solutions,","venue":null,"work_id":"62b16e3c-cb85-403f-8fb1-0a2e33402226","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":67,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:45.997473Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:189f89ed7811a23c43d394655a7814c6abe1eaee81fc78c2e59eefa516584fec","observation_id":"5d147754-e090-44b8-8f30-8ff5cb6d6650","resolution":{"observed_at":"2026-08-07T14:31:47.992725Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.14008","last_updated":"2024-06-06T13:19:44Z","snapshot_observed_at":"2026-08-03T03:39:09.398343Z","submitted_at":"2024-02-21T18:49:26Z","title":"OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.14008","snapshot_observed_at":"2026-08-07T14:31:46.127501Z","title":"Olympiadbench: A challenging benchmark for promoting agi with olympiad-level bilingual multimodal scientific problems,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:46.127501Z"},"links":{"cited_paper":"/paper/2402.14008","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:54a31f525b39d585d3887c7040469cd434db929798f7f754fd3744521b24768a","observation_id":"dc25ecc8-aefc-421f-8327-5e7aba23f02e","resolution":{"observed_at":"2026-08-07T14:31:46.127501Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.03874","last_updated":"2021-11-08T21:30:18Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2021-03-05T18:59:39Z","title":"Measuring Mathematical Problem Solving With the MATH Dataset","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.03874","snapshot_observed_at":"2026-08-07T14:31:46.233658Z","title":"Measuring mathematical problem solving with the math dataset,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":69,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:46.233658Z"},"links":{"cited_paper":"/paper/2103.03874","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:81313f3d5f7693fa688f768373888c0cdaf4043dbc8aec443dfc4285e0b99c0c","observation_id":"3e7ca3d9-7317-41b9-a44f-05bdb57bbf6b","resolution":{"observed_at":"2026-08-07T14:31:46.233658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.11309","last_updated":"2022-06-13T23:26:16Z","snapshot_observed_at":"2026-08-03T23:42:31.942314Z","submitted_at":"2021-10-21T17:41:56Z","title":"Fast Model Editing at Scale","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.11309","snapshot_observed_at":"2026-08-07T14:31:46.360630Z","title":"Fast model editing at scale,","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":70,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:46.360630Z"},"links":{"cited_paper":"/paper/2110.11309","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:225917f3f381a62e3e7c33cff99b16f6ab73bf59a7f9b6c7e46c011854295c10","observation_id":"68901d12-36c5-4ce7-af10-08e790ca379f","resolution":{"observed_at":"2026-08-07T14:31:46.360630Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:46.467826Z","title":"Locating and editing factual associations in gpt,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":71,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:46.467826Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:b2fe18fe5c7d43f26bf82e59660ce285efe1222d92e062ffcd56b6cd2e70ffda","observation_id":"f649ac1f-df44-43ce-ab39-4e30134b44f2","resolution":{"observed_at":"2026-08-07T14:31:46.467826Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:47.721180Z","title":"A learning algorithm for continually running fully recurrent neural networks,","venue":null,"work_id":"7587e430-8b1a-4277-bf53-92ac6deecd4c","year":1989},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":72,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:46.566934Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:11f0a392558a44c9e197795c58fe513a1f5074c7a19df83d3e912f242568ac22","observation_id":"690692b8-6235-4369-981c-46f8f77d31d7","resolution":{"observed_at":"2026-08-07T14:31:47.816960Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.11177","last_updated":"2025-05-31T15:12:14Z","snapshot_observed_at":"2026-08-07T18:14:36.832621Z","submitted_at":"2025-02-16T15:57:55Z","title":"The Mirage of Model Editing: Revisiting Evaluation in the Wild","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.11177","snapshot_observed_at":"2026-08-07T14:31:46.666563Z","title":"The mirage of model editing: Revisiting evaluation in the wild,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":73,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:46.666563Z"},"links":{"cited_paper":"/paper/2502.11177","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:1be777154416078773f60545861cabb6716895de713e24ca9742c1d71fcce76b","observation_id":"871b822d-5f4f-450c-935b-e69c4e68ddff","resolution":{"observed_at":"2026-08-07T14:31:46.666563Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.13638","last_updated":"2023-09-24T13:35:28Z","snapshot_observed_at":"2026-07-06T16:22:58.752949Z","submitted_at":"2023-09-24T13:35:28Z","title":"Embers of Autoregression: Understanding Large Language Models Through the Problem They are Trained to Solve","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.13638","snapshot_observed_at":"2026-08-07T14:31:46.768635Z","title":"Embers of autoregression: Understanding large language models through the problem they are trained to solve,","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:46.768635Z"},"links":{"cited_paper":"/paper/2309.13638","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:e2d053804c01b5083484c75b9a6654cf4a4769e3d38132709608f69edd616024","observation_id":"b9a8ba7a-7a57-4d54-89b2-c2bb637460d9","resolution":{"observed_at":"2026-08-07T14:31:46.768635Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21276","last_updated":"2024-10-25T17:43:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-25T17:43:01Z","title":"GPT-4o System Card","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.21276","snapshot_observed_at":"2026-08-07T14:31:46.865728Z","title":"Gpt-4o system card,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":75,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:46.865728Z"},"links":{"cited_paper":"/paper/2410.21276","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:d008f510cb2fe075092103f349ee4ceee125df4c8aa4a49694653e449cee5f8c","observation_id":"e90aecd9-7fbf-4b2a-bc3a-2052c2e1812d","resolution":{"observed_at":"2026-08-07T14:31:46.865728Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:47.543215Z","title":"Easyedit: An easy-to-use knowledge editing framework for large language models,","venue":null,"work_id":"28ade557-0a7a-4af5-a04c-6d7e87fd8717","year":2024},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":76,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:46.946927Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:e2059ed82b3272afaa8bdd2f2c6a6cdc927e979c9eac20a3fadc0957da6ded58","observation_id":"c841fcde-b245-40d7-b0e2-fdc3b5978b4d","resolution":{"observed_at":"2026-08-07T14:31:47.626409Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2504.14945","last_updated":"2025-06-22T00:18:09Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-04-21T08:09:13Z","title":"Learning to Reason under Off-Policy Guidance","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2504.14945","snapshot_observed_at":"2026-08-07T14:31:47.037123Z","title":"Learning to reason under off-policy guidance,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":77,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:47.037123Z"},"links":{"cited_paper":"/paper/2504.14945","citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:86abd945f792af32293e43009d564e5999c30f03462759f313e2a16422f8c29d","observation_id":"ea3f5114-0e86-465e-820e-4344a4c4db46","resolution":{"observed_at":"2026-08-07T14:31:47.037123Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:47.444339Z","title":"Unsuper- vised dense information retrieval with contrastive learning,","venue":null,"work_id":"e9dbabd9-47d2-457a-8aca-b218cfa05b67","year":null},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:47.099912Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:05d28932699eba0302d5c898f7c308af87c9c02e6816c641927b9cb966721f64","observation_id":"52f16bf8-fffc-4369-a102-501e0898d01b","resolution":{"observed_at":"2026-08-07T14:31:47.478995Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T14:31:48.234606Z","title":null,"venue":null,"work_id":"595c6475-b974-4055-9891-4a4241ed5212","year":2017},"citing_paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models","version":1},"reference_index":2017,"source":"pdf_text","source_observed_at":"2026-08-07T14:31:45.631921Z"},"links":{"citing_paper":"/paper/2505.18690"},"observation_digest":"sha256:8c42487d007c8fac29aae7d458de1c6c51369cff661ae6527737131fc937ba6d","observation_id":"e46fc563-fc39-49dd-9542-e4f7d7a40a5a","resolution":{"observed_at":"2026-08-07T14:31:48.286689Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2505.18690","last_updated":"2025-05-24T13:32:03Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-07T14:25:30.423247Z","submitted_at":"2025-05-24T13:32:03Z","title":"Benchmarking and Rethinking Knowledge Editing for Large Language Models"},"reference_resolution":{"displayed":79,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":32,"verified_exact":0,"verified_fuzzy":47},"total_outbound_references":79},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 79 of 79 outbound references and 0 inbound Pith citation observations for arXiv:2505.18690."}