{"as_of":"2026-08-14T12:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5f7d4f56b4eac126295f2a6d416084724c31c3714b2293aef448fb438fbddec5","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T14:09:24.650499Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-07T14:26:30.496861Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.11060","last_updated":"2025-02-03T00:23:45Z","snapshot_observed_at":"2026-08-14T10:03:15.764841Z","submitted_at":"2024-02-16T20:20:43Z","title":"Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.11060","snapshot_observed_at":"2026-08-11T14:09:24.650499Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.12445","last_updated":"2024-12-18T15:28:43Z","snapshot_observed_at":"2026-08-14T06:52:16.372872Z","submitted_at":"2024-12-17T01:15:40Z","title":"Persona-SQ: A Personalized Suggested Question Generation Framework For Real-world Documents","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-11T14:09:24.650499Z"},"links":{"cited_paper":"/paper/2402.11060","citing_paper":"/paper/2412.12445"},"observation_digest":"sha256:38e40e0e56054ff692a03d338c85ebb29abc42c7b86eb417d242746fd2e2d745","observation_id":"43670c96-a003-4731-adb0-1796a17ca0df","resolution":{"observed_at":"2026-08-11T14:09:24.650499Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11060","last_updated":"2025-02-03T00:23:45Z","snapshot_observed_at":"2026-08-14T10:03:15.764841Z","submitted_at":"2024-02-16T20:20:43Z","title":"Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.11060","snapshot_observed_at":"2026-08-09T05:09:16.600726Z","title":"Fung, Hou Pong Chan, ChengXiang Zhai, and Heng Ji","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04376","last_updated":"2025-02-05T16:25:43Z","snapshot_observed_at":"2026-08-14T01:30:10.425678Z","submitted_at":"2025-02-05T16:25:43Z","title":"MEETING DELEGATE: Benchmarking LLMs on Attending Meetings on Our Behalf","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-09T05:09:16.600726Z"},"links":{"cited_paper":"/paper/2402.11060","citing_paper":"/paper/2502.04376"},"observation_digest":"sha256:cf3ccaa8e046a542d7bec9b6fdbd9d12198b2dfe55109a92d7a0ff495c731fde","observation_id":"06452d30-931e-4c06-a6bc-7e6e64da6ffb","resolution":{"observed_at":"2026-08-09T05:09:16.600726Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11060","last_updated":"2025-02-03T00:23:45Z","snapshot_observed_at":"2026-08-14T10:03:15.764841Z","submitted_at":"2024-02-16T20:20:43Z","title":"Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement","version":3},"cited_work":{"arxiv_id":"2402.11060","doi":null,"metadata_source":"pith","pith_arxiv_id":"2402.11060","snapshot_observed_at":"2026-08-07T14:26:30.496861Z","title":"Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement","venue":"cs.CL","work_id":"d46c3ca8-ea45-4ecd-8a38-1e7e0a69ce3c","year":2024},"citing_paper":{"arxiv_id":"2505.19003","last_updated":"2025-05-25T06:54:01Z","snapshot_observed_at":"2026-08-12T00:42:44.614817Z","submitted_at":"2025-05-25T06:54:01Z","title":"Aligning LLM with human travel choices: a persona-based embedding learning approach","version":1},"reference_index":53,"source":"arxiv_source","source_observed_at":"2026-08-07T14:26:29.465597Z"},"links":{"cited_paper":"/paper/2402.11060","citing_paper":"/paper/2505.19003"},"observation_digest":"sha256:b9d8f138a929efdacf6304a5f054c9714976c115310713a7c3b0000376c8509b","observation_id":"300f68d9-8c18-4db9-ae17-0f6cf7c60699","resolution":{"observed_at":"2026-08-07T14:26:30.551322Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11060","last_updated":"2025-02-03T00:23:45Z","snapshot_observed_at":"2026-08-14T10:03:15.764841Z","submitted_at":"2024-02-16T20:20:43Z","title":"Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.11060","snapshot_observed_at":"2026-08-05T19:08:30.544863Z","title":"Persona-db: Efficient large language model personalization for response prediction with collaborative data refinement","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.09689","last_updated":"2025-08-18T22:14:57Z","snapshot_observed_at":"2026-08-10T16:37:57.196833Z","submitted_at":"2025-08-18T22:14:57Z","title":"Personas within Parameters: Fine-Tuning Small Language Models with Low-Rank Adapters to Mimic User Behaviors","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-05T19:08:30.544863Z"},"links":{"cited_paper":"/paper/2402.11060","citing_paper":"/paper/2509.09689"},"observation_digest":"sha256:edb31b52460463458f00907a43739a683ee6bb5642c260c27ea12c09ca1c2f03","observation_id":"24c02746-f322-4207-857f-f2f8f93bfb3f","resolution":{"observed_at":"2026-08-05T19:08:30.544863Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11060","last_updated":"2025-02-03T00:23:45Z","snapshot_observed_at":"2026-08-14T10:03:15.764841Z","submitted_at":"2024-02-16T20:20:43Z","title":"Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.11060","snapshot_observed_at":"2026-08-04T13:52:12.375468Z","title":"Persona-db: Efficient large language model personalization for response prediction with collaborative data refinement.arXiv preprint arXiv:2402.11060,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.24696","last_updated":"2026-05-30T14:42:04Z","snapshot_observed_at":"2026-08-13T16:21:09.152242Z","submitted_at":"2025-09-29T12:28:23Z","title":"T-POP: Test-Time Personalization with Online Preference Feedback","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-04T13:52:12.375468Z"},"links":{"cited_paper":"/paper/2402.11060","citing_paper":"/paper/2509.24696"},"observation_digest":"sha256:899391f29836c256467aeb3f9525b751c301cda752478eafad980e18af81c2a4","observation_id":"7d65d865-8204-4216-bc42-ee8398f242d6","resolution":{"observed_at":"2026-08-04T13:52:12.375468Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.11060/citation-record","integrity":"/paper/2402.11060/integrity","json":"/paper/2402.11060/citation-record.json","paper":"/paper/2402.11060"},"outbound":[],"paper":{"arxiv_id":"2402.11060","last_updated":"2025-02-03T00:23:45Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-14T10:03:15.764841Z","submitted_at":"2024-02-16T20:20:43Z","title":"Persona-DB: Efficient Large Language Model Personalization for Response Prediction with Collaborative Data Refinement"},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.11060."}