{"as_of":"2026-07-31T23:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:77c58f5abf343f8a626304590a3834673f899de84c43549d05fbeb2fab99d9e0","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":"2026-07-31T06:34:12.847434+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":"2026-06-30T01:23:52.085007Z","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":"2026-07-01T15:25:48.771111Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2506.20856","last_updated":"2025-06-25T22:01:25Z","snapshot_observed_at":"2026-07-06T21:47:43.876807Z","submitted_at":"2025-06-25T22:01:25Z","title":"Leaner Training, Lower Leakage: Revisiting Memorization in LLM Fine-Tuning with LoRA","version":1},"cited_work":{"arxiv_id":"2506.20856","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.20856","snapshot_observed_at":"2026-07-01T15:25:48.771111Z","title":"Leaner Training, Lower Leakage: Revisiting Memorization in LLM Fine-Tuning with LoRA","venue":null,"work_id":"758573c6-92b0-4730-a9e4-5e9909f82075","year":2025},"citing_paper":{"arxiv_id":"2512.05929","last_updated":"2026-06-29T18:18:24Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-12-05T18:12:21Z","title":"LLM Harms: A Taxonomy and Discussion","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-17T00:29:07.951709Z"},"links":{"cited_paper":"/paper/2506.20856","citing_paper":"/paper/2512.05929"},"observation_digest":"sha256:ea1b1ca63c0def2efadb02dec614d89b6fa445012d6ecca6d33c19386a6530fa","observation_id":"0fbd2cd9-cc7e-4004-946f-0038acaea2de","resolution":{"observed_at":"2026-05-17T00:31:24.800182Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2506.20856","last_updated":"2025-06-25T22:01:25Z","snapshot_observed_at":"2026-07-06T21:47:43.876807Z","submitted_at":"2025-06-25T22:01:25Z","title":"Leaner Training, Lower Leakage: Revisiting Memorization in LLM Fine-Tuning with LoRA","version":1},"cited_work":{"arxiv_id":"2506.20856","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2506.20856","snapshot_observed_at":"2026-07-01T15:25:48.771111Z","title":"Leaner Training, Lower Leakage: Revisiting Memorization in LLM Fine-Tuning with LoRA","venue":null,"work_id":"758573c6-92b0-4730-a9e4-5e9909f82075","year":2025},"citing_paper":{"arxiv_id":"2606.28479","last_updated":"2026-06-26T17:35:17Z","snapshot_observed_at":"2026-07-07T00:02:33.644076Z","submitted_at":"2026-06-26T17:35:17Z","title":"Decomposing Memorization Reduction in Privacy-Preserving Fine-Tuning of SLMs for CSIRTs","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-06-30T01:23:52.085007Z"},"links":{"cited_paper":"/paper/2506.20856","citing_paper":"/paper/2606.28479"},"observation_digest":"sha256:20a6285c2243d0d7dc19dae1e3dfe042120dc22f250ba4dc91e49d74a88a1f39","observation_id":"41071891-4cac-4bdb-a981-f3b0e28427b0","resolution":{"observed_at":"2026-07-01T15:25:48.774033Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-07-31T06:34:12.847434+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2506.20856/citation-record","integrity":"/paper/2506.20856/integrity","json":"/paper/2506.20856/citation-record.json","paper":"/paper/2506.20856"},"outbound":[],"paper":{"arxiv_id":"2506.20856","last_updated":"2025-06-25T22:01:25Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T21:47:43.876807Z","submitted_at":"2025-06-25T22:01:25Z","title":"Leaner Training, Lower Leakage: Revisiting Memorization in LLM Fine-Tuning with LoRA"},"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":"2026-07-31T06:34:12.847434+00:00","source":"crossref"},{"observed_at":"2026-07-31T06:34:08.642788+00:00","source":"retraction_watch"}],"thesis":"As of 31 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2506.20856."}