{"as_of":"2026-08-20T03:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d49a5f6b0a9ca4e1936b55a80aa79df29631b6d3a99d49e47197877235b747dd","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-19T06:32:44.657259+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T21:51:53.705212Z","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":"2026-08-12T15:58:20.634856Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2311.12275","last_updated":"2024-04-16T21:34:29Z","snapshot_observed_at":"2026-08-16T14:41:39.762011Z","submitted_at":"2023-11-21T01:34:02Z","title":"Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2311.12275","snapshot_observed_at":"2026-08-12T21:51:53.705212Z","title":"Enabling on-device large language model personalization with self-supervised data selection and synthesis","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.08244","last_updated":"2024-11-12T23:43:20Z","snapshot_observed_at":"2026-08-17T13:52:38.778980Z","submitted_at":"2024-11-12T23:43:20Z","title":"NVCiM-PT: An NVCiM-assisted Prompt Tuning Framework for Edge LLMs","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-12T21:51:53.705212Z"},"links":{"cited_paper":"/paper/2311.12275","citing_paper":"/paper/2411.08244"},"observation_digest":"sha256:3e87a8e401e5669108b1f25edf58a8df0815a6837f14c040aa3da9b8ceb2b3a6","observation_id":"81f0bc23-a841-4d76-8f49-db8feff54f6c","resolution":{"observed_at":"2026-08-12T21:51:53.705212Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2311.12275","last_updated":"2024-04-16T21:34:29Z","snapshot_observed_at":"2026-08-16T14:41:39.762011Z","submitted_at":"2023-11-21T01:34:02Z","title":"Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis","version":4},"cited_work":{"arxiv_id":"2311.12275","doi":null,"metadata_source":"pith","pith_arxiv_id":"2311.12275","snapshot_observed_at":"2026-08-12T15:58:20.634856Z","title":"Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis","venue":"cs.CL","work_id":"0bc8089e-1516-4c3e-bb38-1220b685ba84","year":2023},"citing_paper":{"arxiv_id":"2411.13766","last_updated":"2025-07-11T21:47:39Z","snapshot_observed_at":"2026-08-14T07:37:29.230681Z","submitted_at":"2024-11-21T00:29:58Z","title":"Tiny-Align: Bridging Automatic Speech Recognition and Large Language Model on the Edge","version":4},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-12T15:58:19.809930Z"},"links":{"cited_paper":"/paper/2311.12275","citing_paper":"/paper/2411.13766"},"observation_digest":"sha256:e112c483b92e460aa22d39e27f3ab7dab87538a5210c48f71317e31396519716","observation_id":"b1c283dd-cc8a-4531-ab4d-b4bb0fd8a35a","resolution":{"observed_at":"2026-08-12T15:58:20.639986Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2311.12275/citation-record","integrity":"/paper/2311.12275/integrity","json":"/paper/2311.12275/citation-record.json","paper":"/paper/2311.12275"},"outbound":[],"paper":{"arxiv_id":"2311.12275","last_updated":"2024-04-16T21:34:29Z","latest_version":4,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T14:41:39.762011Z","submitted_at":"2023-11-21T01:34:02Z","title":"Enabling On-Device Large Language Model Personalization with Self-Supervised Data Selection and Synthesis"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.12275."}