{"as_of":"2026-08-13T04:20:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ed290b86344392f106598b7d99e2b5074f1a85a618e7db29b055547f8d07e455","coverage":[{"denominator":35,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":35,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-10T21:23:47.921756Z","state":"measured"},{"denominator":35,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":35,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-12T06:34:41.77262+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/2501.05078/citation-record","integrity":"/paper/2501.05078/integrity","json":"/paper/2501.05078/citation-record.json","paper":"/paper/2501.05078"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-10T21:23:47.805120Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.805120Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:7e3745711cd4385bd5519a82f5b78924922a0d3e579bfd4c2e05ec4d03a03a7a","observation_id":"37d11e99-298e-44e9-a65e-49c9d074e881","resolution":{"observed_at":"2026-08-10T21:23:47.805120Z","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":"2026-08-10T21:23:47.809689Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.809689Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:4672edcbabcafbba5d37cfffd2d477391646d75934bc49939ba23f93ae7b58ea","observation_id":"cc6b680c-bb04-4390-bbd4-d0d2991e8fe6","resolution":{"observed_at":"2026-08-10T21:23:47.809689Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.14316","last_updated":"2024-07-16T10:22:51Z","snapshot_observed_at":"2026-08-10T16:01:01.114216Z","submitted_at":"2023-09-25T17:37:20Z","title":"Physics of Language Models: Part 3.1, Knowledge Storage and Extraction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.14316","snapshot_observed_at":"2026-08-10T21:23:47.813613Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.813613Z"},"links":{"cited_paper":"/paper/2309.14316","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:343c8a7bcbee80d65fafaad5ea6479cdba0558e8a9cf07a701c33b3cdaf582ac","observation_id":"a76ed3cf-ce19-4d94-8779-135c3c69965d","resolution":{"observed_at":"2026-08-10T21:23:47.813613Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2309.14402","last_updated":"2024-07-16T10:33:12Z","snapshot_observed_at":"2026-08-07T23:54:23.509475Z","submitted_at":"2023-09-25T17:50:41Z","title":"Physics of Language Models: Part 3.2, Knowledge Manipulation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2309.14402","snapshot_observed_at":"2026-08-10T21:23:47.817941Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.817941Z"},"links":{"cited_paper":"/paper/2309.14402","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:41e39a0445ae2a490829b2700821241491f2925a1a89075e09aaf884e17259f6","observation_id":"d7f3c975-fb1f-4148-b34c-85fb59595fc3","resolution":{"observed_at":"2026-08-10T21:23:47.817941Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.05405","last_updated":"2024-04-08T11:11:31Z","snapshot_observed_at":"2026-08-13T00:35:06.014683Z","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":"2026-08-10T21:23:47.821316Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.821316Z"},"links":{"cited_paper":"/paper/2404.05405","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:f726c947943bb035748b08fd1d695adf17d4f3736341b51f40abf3b1f5670c91","observation_id":"bac73b93-10df-4ff1-bc06-8d4dd69b700d","resolution":{"observed_at":"2026-08-10T21:23:47.821316Z","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":"2026-08-10T21:23:48.342879Z","title":"Kanwal, Tegan Maharaj, Asja Fischer, Aaron Courville, Yoshua Bengio, and Simon Lacoste-Julien","venue":null,"work_id":"84f6eece-1aa7-40ed-8106-637533485fd1","year":2017},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.825222Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:e11701fd1be56002640ada1c09955f35032e304716edfa85df937403fb37cad0","observation_id":"d113d072-502a-4aae-a1fa-98f183c8f093","resolution":{"observed_at":"2026-08-10T21:23:48.346622Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T21:23:48.334101Z","title":null,"venue":null,"work_id":"133de413-cda5-4868-b941-d93e34ac9259","year":2024},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.829032Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:cf1c2e7c93fd51d3bef7673a6b4a28a0b9a91e0af85b567eb1e106e6724b3f3d","observation_id":"ea5c3d6f-b516-4ef2-90c5-207476c68d10","resolution":{"observed_at":"2026-08-10T21:23:48.337290Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T21:23:48.324925Z","title":null,"venue":null,"work_id":"f89219b0-e30c-4119-81c8-fd9240a10ba6","year":2023},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.832396Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:9c69a7e6ec6bd221e7a6b873af1d220f611e94e347c07c8dfeddc19e11855e1b","observation_id":"b134f42f-5287-4904-bcf0-fb7dfd4a997d","resolution":{"observed_at":"2026-08-10T21:23:48.328011Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T21:23:47.835868Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.835868Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:fe872e0b8384cfcdc6cc996ac25df9b1be24d8aac6b8a9839502aa1d610a247d","observation_id":"b409ff6b-b042-4720-8797-0151dd0c85d2","resolution":{"observed_at":"2026-08-10T21:23:47.835868Z","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":"2026-08-10T21:23:47.838820Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.838820Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:ff86fb3c9fa2a801565269a998971f2a9f9898fe4d69005cc81772f81b131562","observation_id":"9bb87d5f-df08-4fb1-8390-3c058033a0b1","resolution":{"observed_at":"2026-08-10T21:23:47.838820Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2202.07646","last_updated":"2023-03-06T06:28:18Z","snapshot_observed_at":"2026-08-03T19:51:05.627063Z","submitted_at":"2022-02-15T18:48:31Z","title":"Quantifying Memorization Across Neural Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2202.07646","snapshot_observed_at":"2026-08-10T21:23:47.842479Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.842479Z"},"links":{"cited_paper":"/paper/2202.07646","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:355ddb12a1fc33e35260cf160f430a2731c1cf871c2fba107e61474d6076c100","observation_id":"d3fc0960-9ba8-4f30-b913-6bdb90fa6f23","resolution":{"observed_at":"2026-08-10T21:23:47.842479Z","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":"2026-08-10T21:23:48.309531Z","title":"Brown, Dawn Xiaodong Song, \\'U lfar Erlingsson, Alina Oprea, and Colin Raffel","venue":null,"work_id":"367f43de-3aeb-4e45-9557-fc4ac4de721f","year":2020},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.848497Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:c79f27da0805772c4d025d05af591c59fc1ea5f7dca6d1b383131a27c9fa6f2b","observation_id":"767bda36-f50b-4028-9e42-18c8b1e38975","resolution":{"observed_at":"2026-08-10T21:23:48.313198Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1803.05457","last_updated":"2018-03-14T18:04:21Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2018-03-14T18:04:21Z","title":"Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1803.05457","snapshot_observed_at":"2026-08-10T21:23:47.851524Z","title":null,"venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.851524Z"},"links":{"cited_paper":"/paper/1803.05457","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:ed24f5100f9a3400dbe465ffd1f956b4fefe5aa6908f0a5e727ee314ff31ed79","observation_id":"61c576d2-c316-4770-83a8-1172e96ebc97","resolution":{"observed_at":"2026-08-10T21:23:47.851524Z","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":"2026-08-10T21:23:47.855091Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.855091Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:980247c9a8a32e58e6104ab2e5a8f4c06fcb7ea1ab78c745a03f8deb1186fa1a","observation_id":"f4690162-f57a-4d66-a6f9-8788a2a064af","resolution":{"observed_at":"2026-08-10T21:23:47.855091Z","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":"2026-08-10T21:23:47.858423Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.858423Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:c8de6d439b60de9f15d3bda605723a6a5f7a0c7c1b87e71aeea4bfea7cb635b9","observation_id":"8798f8a7-4571-4432-809a-959455495ced","resolution":{"observed_at":"2026-08-10T21:23:47.858423Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2101.00027","last_updated":"2020-12-31T19:00:10Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2020-12-31T19:00:10Z","title":"The Pile: An 800GB Dataset of Diverse Text for Language Modeling","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2101.00027","snapshot_observed_at":"2026-08-10T21:23:47.861325Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.861325Z"},"links":{"cited_paper":"/paper/2101.00027","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:25b40974ec943d7ecff13ec15e1cc400479f23110b1b22e9eaeedc5de2245f3b","observation_id":"233ecb14-e98c-44de-8f09-ccc06959d02c","resolution":{"observed_at":"2026-08-10T21:23:47.861325Z","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":"2026-08-10T21:23:47.865207Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.865207Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:231fcbd902fcdc6156911c2f88b238ef53d3268e94df39180baf56bc7e503453","observation_id":"a8b5f834-31d0-45c4-a313-b1bc3f00b7a8","resolution":{"observed_at":"2026-08-10T21:23:47.865207Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.17817","last_updated":"2024-07-25T07:10:31Z","snapshot_observed_at":"2026-08-13T00:52:52.593110Z","submitted_at":"2024-07-25T07:10:31Z","title":"Demystifying Verbatim Memorization in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.17817","snapshot_observed_at":"2026-08-10T21:23:47.868216Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.868216Z"},"links":{"cited_paper":"/paper/2407.17817","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:6eba38ec70da888b817977a777c2e9752b1562cc40e6e51795b8d908e1bbd8f0","observation_id":"64e8a839-b418-4bc3-a146-f81cc3a737bd","resolution":{"observed_at":"2026-08-10T21:23:47.868216Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.17143","last_updated":"2024-08-15T15:40:15Z","snapshot_observed_at":"2026-08-13T00:21:48.729032Z","submitted_at":"2024-04-26T04:12:08Z","title":"Quantifying Memorization and Detecting Training Data of Pre-trained Language Models using Japanese Newspaper","version":2},"cited_work":{"arxiv_id":"2404.17143","doi":null,"metadata_source":"pith","pith_arxiv_id":"2404.17143","snapshot_observed_at":"2026-08-10T21:23:48.200218Z","title":"Quantifying Memorization and Detecting Training Data of Pre-trained Language Models using Japanese Newspaper","venue":"cs.CL","work_id":"e74cad23-187c-4f1e-851f-c188d4afe019","year":2024},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.871138Z"},"links":{"cited_paper":"/paper/2404.17143","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:e96b23990289598b40f1ea74a1678f1ea18a9d567c588aafbacf3a58eb40539b","observation_id":"49cf3a7d-da10-47b0-b8e8-65f7d780c6aa","resolution":{"observed_at":"2026-08-10T21:23:48.206158Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.02834","last_updated":"2024-06-23T08:45:33Z","snapshot_observed_at":"2026-08-11T02:47:07.358642Z","submitted_at":"2024-02-05T09:44:49Z","title":"Shortened LLaMA: Depth Pruning for Large Language Models with Comparison of Retraining Methods","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.02834","snapshot_observed_at":"2026-08-10T21:23:47.873794Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.873794Z"},"links":{"cited_paper":"/paper/2402.02834","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:204a7cc9749659ff3e7540c4baeac2b0e786ccf1ad58da40ecaf90e64c8397ad","observation_id":"f55d0bb9-a330-4ee7-a0ab-e4dc2076d2c3","resolution":{"observed_at":"2026-08-10T21:23:47.873794Z","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":"2026-08-10T21:23:48.291752Z","title":null,"venue":null,"work_id":"4ebce6a4-6399-48a1-948b-f97edab0dda1","year":2024},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.877346Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:9fe8a75373d7960b2af67d19293abb0f2d06446c19b89492cd20f7282efa72d2","observation_id":"198f49a2-63c1-4406-970d-3905b0404531","resolution":{"observed_at":"2026-08-10T21:23:48.294442Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+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":"2026-08-10T21:23:47.879794Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.879794Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:5b1e6f6ba41d6ab6ac5a9ee3e256630189f951ebf7885306a60c3e2b73d82cf2","observation_id":"08ad6845-7475-4420-90f3-ba4f3aa143fd","resolution":{"observed_at":"2026-08-10T21:23:47.879794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2107.06499","last_updated":"2022-03-24T19:29:45Z","snapshot_observed_at":"2026-08-05T18:30:13.997811Z","submitted_at":"2021-07-14T06:06:52Z","title":"Deduplicating Training Data Makes Language Models Better","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2107.06499","snapshot_observed_at":"2026-08-10T21:23:47.882697Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.882697Z"},"links":{"cited_paper":"/paper/2107.06499","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:a78e22bb11241deed2521847bbd4d7ea8669164442a7c0d4c12e7f2844119cbb","observation_id":"f8ae71b3-69ab-4e58-b4df-05afb4a29343","resolution":{"observed_at":"2026-08-10T21:23:47.882697Z","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":"2026-08-10T21:23:47.886542Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.886542Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:218f52aa3e8484a94bff46f83802b79efcdaa524648b5170b75f7607a0b6f4c7","observation_id":"e4765666-2c03-4bb2-bd54-fb11f8bfa186","resolution":{"observed_at":"2026-08-10T21:23:47.886542Z","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":"2026-08-10T21:23:48.280375Z","title":null,"venue":null,"work_id":"a8048688-f140-4bbf-8dd8-8615336d81d9","year":2022},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.890375Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:4bf8ad6489b81706d9c170bd5c60633ebbd8b2ff515d848eb99adb09dd7f6ec8","observation_id":"fbf1ba3d-f622-4945-abf4-e6c952530c85","resolution":{"observed_at":"2026-08-10T21:23:48.283704Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2311.17035","last_updated":"2023-11-28T18:47:03Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-11-28T18:47:03Z","title":"Scalable Extraction of Training Data from (Production) Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.17035","snapshot_observed_at":"2026-08-10T21:23:47.892992Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.892992Z"},"links":{"cited_paper":"/paper/2311.17035","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:c4879b2dc9dbbdf6fa6b953df0131f5f425bc5d012cacd3552775fd27e963e83","observation_id":"1dd3eab1-82c3-4b15-8815-2287a221db99","resolution":{"observed_at":"2026-08-10T21:23:47.892992Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1606.06031","last_updated":"2016-06-20T09:37:17Z","snapshot_observed_at":"2026-08-10T23:14:34.195361Z","submitted_at":"2016-06-20T09:37:17Z","title":"The LAMBADA dataset: Word prediction requiring a broad discourse context","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1606.06031","snapshot_observed_at":"2026-08-10T21:23:47.896034Z","title":null,"venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.896034Z"},"links":{"cited_paper":"/paper/1606.06031","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:a7c1f87dd2b9b5af9d529b99da6b6244c9d5a99b6bbac9e84c7c9b308c8f1d19","observation_id":"dfb4e5ef-fde6-482d-a61e-788f824069b3","resolution":{"observed_at":"2026-08-10T21:23:47.896034Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17746","last_updated":"2025-05-07T18:36:12Z","snapshot_observed_at":"2026-08-12T23:35:04.610152Z","submitted_at":"2024-06-25T17:32:16Z","title":"Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.17746","snapshot_observed_at":"2026-08-10T21:23:47.899405Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.899405Z"},"links":{"cited_paper":"/paper/2406.17746","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:75a4904551a173d486198f3af83944da482b4c92aadc72ef27aa4978ad11f3e2","observation_id":"5cc00dd2-0981-4eb4-b3a7-11b7925d269c","resolution":{"observed_at":"2026-08-10T21:23:47.899405Z","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":"2026-08-10T21:23:47.902624Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.902624Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:fb4fc9becb28e9ce3c99abb0c59df04f9123a26da31af913e3c8e611ee81da7c","observation_id":"9f59000f-e836-485a-a2e7-2001fd3715f3","resolution":{"observed_at":"2026-08-10T21:23:47.902624Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.16286","last_updated":"2024-07-23T08:40:27Z","snapshot_observed_at":"2026-08-12T23:16:38.789613Z","submitted_at":"2024-07-23T08:40:27Z","title":"A deeper look at depth pruning of LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.16286","snapshot_observed_at":"2026-08-10T21:23:47.905733Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.905733Z"},"links":{"cited_paper":"/paper/2407.16286","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:57efa8cb0110d2d6a8e8a8f0d21dfb98b176c89b1d03bdb383f05bba307c2b32","observation_id":"39962bab-abea-48d7-8033-b08e717fe7c9","resolution":{"observed_at":"2026-08-10T21:23:47.905733Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.19851","last_updated":"2024-03-28T21:53:24Z","snapshot_observed_at":"2026-08-13T00:42:36.801230Z","submitted_at":"2024-03-28T21:53:24Z","title":"Localizing Paragraph Memorization in Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.19851","snapshot_observed_at":"2026-08-10T21:23:47.909033Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.909033Z"},"links":{"cited_paper":"/paper/2403.19851","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:3c3d6de1112fffe2d4938988c98e84f2cbda11dfb3b28efd4acde99a1dc16ca3","observation_id":"a4de1594-95e9-4b34-9b17-274ada5220c7","resolution":{"observed_at":"2026-08-10T21:23:47.909033Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.11695","last_updated":"2024-05-06T17:47:01Z","snapshot_observed_at":"2026-07-06T15:44:42.776459Z","submitted_at":"2023-06-20T17:18:20Z","title":"A Simple and Effective Pruning Approach for Large Language Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.11695","snapshot_observed_at":"2026-08-10T21:23:47.911964Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.911964Z"},"links":{"cited_paper":"/paper/2306.11695","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:764c1f3d2dff4b7569c497e0aca21c41772a418f9652c5baa0292fff5c900e76","observation_id":"89820573-fa91-42d2-9e6d-d2cd5e62cd61","resolution":{"observed_at":"2026-08-10T21:23:47.911964Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2407.20311","last_updated":"2024-07-29T17:52:40Z","snapshot_observed_at":"2026-08-12T23:12:37.358039Z","submitted_at":"2024-07-29T17:52:40Z","title":"Physics of Language Models: Part 2.1, Grade-School Math and the Hidden Reasoning Process","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.20311","snapshot_observed_at":"2026-08-10T21:23:47.915270Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.915270Z"},"links":{"cited_paper":"/paper/2407.20311","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:2a1d7856089f9784165d96cdba01802c5ac581fd9d8ae969bc8c9f841d2df5d3","observation_id":"114629ba-d46c-4ce0-9193-1d4a63fb2b4d","resolution":{"observed_at":"2026-08-10T21:23:47.915270Z","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":"2026-08-10T21:23:48.267895Z","title":null,"venue":null,"work_id":"147da3b3-cb2f-41b3-8ec2-c1e7f1414bd9","year":2023},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.919147Z"},"links":{"citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:27d2b175f0720d945bb5f00e4a0fab7cae63544fb90f07dc7e5eb18e12563ea0","observation_id":"534fe77e-c35e-4a67-bdaa-8e1bbc65518d","resolution":{"observed_at":"2026-08-10T21:23:48.270371Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1905.07830","last_updated":"2019-05-19T23:57:23Z","snapshot_observed_at":"2026-08-10T16:18:23.994244Z","submitted_at":"2019-05-19T23:57:23Z","title":"HellaSwag: Can a Machine Really Finish Your Sentence?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.07830","snapshot_observed_at":"2026-08-10T21:23:47.921756Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution","version":1},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-10T21:23:47.921756Z"},"links":{"cited_paper":"/paper/1905.07830","citing_paper":"/paper/2501.05078"},"observation_digest":"sha256:217dfb1616d0a67c82d2f9de243c2c03c18ffd6ebab75b007e7e190cc7ad7cbe","observation_id":"a2c85cfe-be2c-4116-945c-73035ccb1d11","resolution":{"observed_at":"2026-08-10T21:23:47.921756Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2501.05078","last_updated":"2025-01-09T09:00:32Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T01:04:17.998598Z","submitted_at":"2025-01-09T09:00:32Z","title":"Analyzing Memorization in Large Language Models through the Lens of Model Attribution"},"reference_resolution":{"displayed":35,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":32,"verified_exact":1,"verified_fuzzy":2},"total_outbound_references":35},"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":"2026-08-12T06:34:41.77262+00:00","source":"crossref"},{"observed_at":"2026-08-12T06:34:36.333875+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2501.05078."}