{"as_of":"2026-08-23T15:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ccc9678ab150c3764821ab7a8c54228b818b422e8d391436d9a258709325d26c","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":"2026-08-23T06:30:58.430688+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":"2026-08-07T15:43:39.955030Z","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":"2026-07-01T19:16:00.089405Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.08661","last_updated":"2024-10-11T09:39:33Z","snapshot_observed_at":"2026-08-20T06:25:15.454568Z","submitted_at":"2024-10-11T09:39:33Z","title":"QEFT: Quantization for Efficient Fine-Tuning of LLMs","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.08661","snapshot_observed_at":"2026-08-07T15:43:39.955030Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14742","last_updated":"2025-05-29T22:04:36Z","snapshot_observed_at":"2026-08-20T17:54:02.949067Z","submitted_at":"2025-05-20T07:19:36Z","title":"Quaff: Quantized Parameter-Efficient Fine-Tuning under Outlier Spatial Stability Hypothesis","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-07T15:43:39.955030Z"},"links":{"cited_paper":"/paper/2410.08661","citing_paper":"/paper/2505.14742"},"observation_digest":"sha256:b8b256029a0316be075d83c0cdebeb20723ec8c0585dc1f0617ff157ea71fb74","observation_id":"2a6244cc-2733-4ad5-99f7-6a163aab0e62","resolution":{"observed_at":"2026-08-07T15:43:39.955030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.08661","last_updated":"2024-10-11T09:39:33Z","snapshot_observed_at":"2026-08-20T06:25:15.454568Z","submitted_at":"2024-10-11T09:39:33Z","title":"QEFT: Quantization for Efficient Fine-Tuning of LLMs","version":1},"cited_work":{"arxiv_id":"2410.08661","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2410.08661","snapshot_observed_at":"2026-07-01T19:16:00.089405Z","title":"arXiv preprint arXiv:2410.08661 , year=","venue":null,"work_id":"87c598ce-b40e-4fee-af76-40c37cd3a08e","year":null},"citing_paper":{"arxiv_id":"2606.00206","last_updated":"2026-05-29T18:00:00Z","snapshot_observed_at":"2026-08-15T13:37:05.608666Z","submitted_at":"2026-05-29T18:00:00Z","title":"Quantized Reasoning Models Think They Need to Think Longer, but They Do Not","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-06-28T23:05:00.401365Z"},"links":{"cited_paper":"/paper/2410.08661","citing_paper":"/paper/2606.00206"},"observation_digest":"sha256:1607d4a0b962fd44afb82bb27b1a94d0b72cefb72180091001438b66368f38d3","observation_id":"93242c87-2623-4d7d-9242-50c24f0b5db5","resolution":{"observed_at":"2026-07-01T19:16:00.091084Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.08661/citation-record","integrity":"/paper/2410.08661/integrity","json":"/paper/2410.08661/citation-record.json","paper":"/paper/2410.08661"},"outbound":[],"paper":{"arxiv_id":"2410.08661","last_updated":"2024-10-11T09:39:33Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-20T06:25:15.454568Z","submitted_at":"2024-10-11T09:39:33Z","title":"QEFT: Quantization for Efficient Fine-Tuning of LLMs"},"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":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.08661."}