{"as_of":"2026-08-18T15:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:234eae645fbaf63c3406f9f5e1dfa45a98fd21b1ba25f58c37bfaa7371ac043c","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-18T06:34:40.430872+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-16T12:31:57.888104Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":0,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.02450","last_updated":"2025-06-11T04:01:56Z","snapshot_observed_at":"2026-08-16T12:53:16.677028Z","submitted_at":"2025-03-04T09:53:26Z","title":"Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02450","snapshot_observed_at":"2026-08-16T12:31:57.888104Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.12663","last_updated":"2025-06-11T07:31:37Z","snapshot_observed_at":"2026-08-17T13:10:48.080808Z","submitted_at":"2025-04-17T05:50:13Z","title":"Persona-judge: Personalized Alignment of Large Language Models via Token-level Self-judgment","version":2},"reference_index":44,"source":"arxiv_source","source_observed_at":"2026-08-16T12:31:57.888104Z"},"links":{"cited_paper":"/paper/2503.02450","citing_paper":"/paper/2504.12663"},"observation_digest":"sha256:9dfec0d90f13636359d5cdc48c3d77519424c951ee9358caac6cd4762b05a7ee","observation_id":"b302ea88-9885-4505-bc2f-7449aab078bf","resolution":{"observed_at":"2026-08-16T12:31:57.888104Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02450","last_updated":"2025-06-11T04:01:56Z","snapshot_observed_at":"2026-08-16T12:53:16.677028Z","submitted_at":"2025-03-04T09:53:26Z","title":"Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.02450","snapshot_observed_at":"2026-08-16T10:46:42.324911Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2504.17349","last_updated":"2025-08-04T16:14:00Z","snapshot_observed_at":"2026-08-17T04:03:27.807544Z","submitted_at":"2025-04-24T08:10:10Z","title":"DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-16T10:46:42.324911Z"},"links":{"cited_paper":"/paper/2503.02450","citing_paper":"/paper/2504.17349"},"observation_digest":"sha256:3d3fe2de89fff1768dd56f26f77ea51e6b72fd1e9b96cfe411c35839a73a72c7","observation_id":"64de3742-81c1-4ecb-8da9-835cd9139a86","resolution":{"observed_at":"2026-08-16T10:46:42.324911Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.02450","last_updated":"2025-06-11T04:01:56Z","snapshot_observed_at":"2026-08-16T12:53:16.677028Z","submitted_at":"2025-03-04T09:53:26Z","title":"Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization","version":3},"cited_work":{"arxiv_id":"2503.02450","doi":"10.48550/arxiv.2503.02450","metadata_source":"arxiv_reference","pith_arxiv_id":"2503.02450","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Measuring","venue":"ArXiv.org","work_id":"d5d59f85-ce5c-4b83-aecc-2e2f11f7402b","year":null},"citing_paper":{"arxiv_id":"2606.24985","last_updated":"2026-06-23T14:24:43Z","snapshot_observed_at":"2026-07-06T23:59:28.120338Z","submitted_at":"2026-06-23T14:24:43Z","title":"Retrieval-Augmented Personalization with Foundation Models for Wearable Stress Detection","version":1},"reference_index":113,"source":"arxiv_source","source_observed_at":"2026-06-26T00:27:41.609691Z"},"links":{"cited_paper":"/paper/2503.02450","citing_paper":"/paper/2606.24985"},"observation_digest":"sha256:cb0bbf654cacc70dffa3e267431246f012ab2deda0c4fb6405880720711918e5","observation_id":"eaa62b60-52f4-4b22-9f71-55859f890c7d","resolution":{"observed_at":"2026-06-26T00:28:43.152641Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2503.02450/citation-record","integrity":"/paper/2503.02450/integrity","json":"/paper/2503.02450/citation-record.json","paper":"/paper/2503.02450"},"outbound":[],"paper":{"arxiv_id":"2503.02450","last_updated":"2025-06-11T04:01:56Z","latest_version":3,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-16T12:53:16.677028Z","submitted_at":"2025-03-04T09:53:26Z","title":"Measuring What Makes You Unique: Difference-Aware User Modeling for Enhancing LLM Personalization"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2503.02450."}