{"as_of":"2026-08-15T14:56:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7fe2f3fa9fcfff71a536fa53ec85bfd39d5083d00ab802cae5e442be23e93075","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-15T06:32:42.880941+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T14:51:13.145701Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-10T06:06:19.391966Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2211.05110","last_updated":"2022-11-09T18:58:29Z","snapshot_observed_at":"2026-08-13T13:45:48.754123Z","submitted_at":"2022-11-09T18:58:29Z","title":"Large Language Models with Controllable Working Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.05110","snapshot_observed_at":"2026-08-12T14:51:13.145701Z","title":"Large language mod- els with controllable working memory","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.15268","last_updated":"2024-11-22T12:22:21Z","snapshot_observed_at":"2026-08-13T00:37:28.487983Z","submitted_at":"2024-11-22T12:22:21Z","title":"ICT: Image-Object Cross-Level Trusted Intervention for Mitigating Object Hallucination in Large Vision-Language Models","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T14:51:13.145701Z"},"links":{"cited_paper":"/paper/2211.05110","citing_paper":"/paper/2411.15268"},"observation_digest":"sha256:e18bbe9caea62500d65d29436e1e921d61a852b827029a30eff77a84ac26a84f","observation_id":"ce569ec1-9415-4cc1-875f-bc775dcba34d","resolution":{"observed_at":"2026-08-12T14:51:13.145701Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.05110","last_updated":"2022-11-09T18:58:29Z","snapshot_observed_at":"2026-08-13T13:45:48.754123Z","submitted_at":"2022-11-09T18:58:29Z","title":"Large Language Models with Controllable Working Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.05110","snapshot_observed_at":"2026-08-12T12:45:39.665472Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2411.16985","last_updated":"2024-11-25T23:25:34Z","snapshot_observed_at":"2026-08-12T21:43:43.352590Z","submitted_at":"2024-11-25T23:25:34Z","title":"Teaching Smaller Language Models To Generalise To Unseen Compositional Questions (Full Thesis)","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-08-12T12:45:39.665472Z"},"links":{"cited_paper":"/paper/2211.05110","citing_paper":"/paper/2411.16985"},"observation_digest":"sha256:5c5c7f49fee461f6df37beb653723499af98279a58300a35616c57f86d88849b","observation_id":"6b3b96ee-5478-4614-9cdd-803cfe58a6e3","resolution":{"observed_at":"2026-08-12T12:45:39.665472Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.05110","last_updated":"2022-11-09T18:58:29Z","snapshot_observed_at":"2026-08-13T13:45:48.754123Z","submitted_at":"2022-11-09T18:58:29Z","title":"Large Language Models with Controllable Working Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.05110","snapshot_observed_at":"2026-08-11T17:25:59.379269Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.08985","last_updated":"2025-07-21T16:16:56Z","snapshot_observed_at":"2026-08-15T13:15:17.528701Z","submitted_at":"2024-12-12T06:38:40Z","title":"KnowShiftQA: How Robust are RAG Systems when Textbook Knowledge Shifts in K-12 Education?","version":4},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-11T17:25:59.379269Z"},"links":{"cited_paper":"/paper/2211.05110","citing_paper":"/paper/2412.08985"},"observation_digest":"sha256:fab6bcce3060eb6e855ef0b896a0b88f1e954a19fcd954188839d4513b746ce1","observation_id":"b4013de7-0253-4433-b5d8-da42d2f3ae1b","resolution":{"observed_at":"2026-08-11T17:25:59.379269Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.05110","last_updated":"2022-11-09T18:58:29Z","snapshot_observed_at":"2026-08-13T13:45:48.754123Z","submitted_at":"2022-11-09T18:58:29Z","title":"Large Language Models with Controllable Working Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.05110","snapshot_observed_at":"2026-08-11T11:50:55.032829Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.14959","last_updated":"2025-07-15T07:07:14Z","snapshot_observed_at":"2026-08-15T14:21:12.327085Z","submitted_at":"2024-12-19T15:39:31Z","title":"Understanding the Dark Side of LLMs' Intrinsic Self-Correction","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-11T11:50:55.032829Z"},"links":{"cited_paper":"/paper/2211.05110","citing_paper":"/paper/2412.14959"},"observation_digest":"sha256:4d739b21b2dc8da77d1b3315dc8891c1b8e4379dc7cb27c8d81729a65f8ef213","observation_id":"eec23ac9-9cfa-4157-a2f8-9cedcd7d8010","resolution":{"observed_at":"2026-08-11T11:50:55.032829Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.05110","last_updated":"2022-11-09T18:58:29Z","snapshot_observed_at":"2026-08-13T13:45:48.754123Z","submitted_at":"2022-11-09T18:58:29Z","title":"Large Language Models with Controllable Working Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.05110","snapshot_observed_at":"2026-08-11T11:28:32.919580Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.15443","last_updated":"2024-12-19T22:51:56Z","snapshot_observed_at":"2026-08-14T12:57:16.423384Z","submitted_at":"2024-12-19T22:51:56Z","title":"SKETCH: Structured Knowledge Enhanced Text Comprehension for Holistic Retrieval","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T11:28:32.919580Z"},"links":{"cited_paper":"/paper/2211.05110","citing_paper":"/paper/2412.15443"},"observation_digest":"sha256:92cda6bd8e9ef099cd7b4051dbd0dc95fd10d2ae53a7106f4dd882f314b3dc70","observation_id":"62b7a071-85aa-439c-9820-fc9e6c011eec","resolution":{"observed_at":"2026-08-11T11:28:32.919580Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.05110","last_updated":"2022-11-09T18:58:29Z","snapshot_observed_at":"2026-08-13T13:45:48.754123Z","submitted_at":"2022-11-09T18:58:29Z","title":"Large Language Models with Controllable Working Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.05110","snapshot_observed_at":"2026-08-11T05:55:14.719947Z","title":"Yu, and Surinder Kumar","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2412.17032","last_updated":"2025-08-22T02:06:08Z","snapshot_observed_at":"2026-08-13T01:06:43.034748Z","submitted_at":"2024-12-22T14:17:12Z","title":"MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge","version":3},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-11T05:55:14.719947Z"},"links":{"cited_paper":"/paper/2211.05110","citing_paper":"/paper/2412.17032"},"observation_digest":"sha256:f8c084c951c3312f6a704eb93efd021993240db601a959c921c1a56ff850c0ab","observation_id":"02b048db-2b15-4816-8818-97996dcbb148","resolution":{"observed_at":"2026-08-11T05:55:14.719947Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.05110","last_updated":"2022-11-09T18:58:29Z","snapshot_observed_at":"2026-08-13T13:45:48.754123Z","submitted_at":"2022-11-09T18:58:29Z","title":"Large Language Models with Controllable Working Memory","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2211.05110","snapshot_observed_at":"2026-08-07T05:37:55.493881Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.07510","last_updated":"2025-06-09T07:37:50Z","snapshot_observed_at":"2026-08-10T19:43:50.323462Z","submitted_at":"2025-06-09T07:37:50Z","title":"DeRAGEC: Denoising Named Entity Candidates with Synthetic Rationale for ASR Error Correction","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T05:37:55.493881Z"},"links":{"cited_paper":"/paper/2211.05110","citing_paper":"/paper/2506.07510"},"observation_digest":"sha256:dc34f0cd52ca056cde7518ca69880013a30e80de4044993ded303716c04485ff","observation_id":"3ce9a6ea-84a1-47f7-8a14-ab86cf191dfe","resolution":{"observed_at":"2026-08-07T05:37:55.493881Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2211.05110","last_updated":"2022-11-09T18:58:29Z","snapshot_observed_at":"2026-08-13T13:45:48.754123Z","submitted_at":"2022-11-09T18:58:29Z","title":"Large Language Models with Controllable Working Memory","version":1},"cited_work":{"arxiv_id":"2211.05110","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2211.05110","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2211.05110 , year=","venue":null,"work_id":"034e0cef-b7ab-4c77-bfbb-f1e38fc13394","year":null},"citing_paper":{"arxiv_id":"2604.17396","last_updated":"2026-04-19T11:59:58Z","snapshot_observed_at":"2026-08-11T15:10:49.040925Z","submitted_at":"2026-04-19T11:59:58Z","title":"Representation-Guided Parameter-Efficient LLM Unlearning","version":1},"reference_index":94,"source":"arxiv_source","source_observed_at":"2026-05-10T06:01:46.885030Z"},"links":{"cited_paper":"/paper/2211.05110","citing_paper":"/paper/2604.17396"},"observation_digest":"sha256:826d3780ce0fd5786b28196886945bd983f59466357f6ec0e4a8f795a08e5dce","observation_id":"85ca1aaf-ccb6-4e4b-aad7-926f6be3ed80","resolution":{"observed_at":"2026-05-10T06:06:19.393134Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2211.05110/citation-record","integrity":"/paper/2211.05110/integrity","json":"/paper/2211.05110/citation-record.json","paper":"/paper/2211.05110"},"outbound":[],"paper":{"arxiv_id":"2211.05110","last_updated":"2022-11-09T18:58:29Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-13T13:45:48.754123Z","submitted_at":"2022-11-09T18:58:29Z","title":"Large Language Models with Controllable Working Memory"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"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":"2026-08-15T06:32:42.880941+00:00","source":"crossref"},{"observed_at":"2026-08-15T06:32:39.529945+00:00","source":"retraction_watch"}],"thesis":"As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2211.05110."}