{"as_of":"2026-08-08T03:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:931a1dcfa40184ca48b1652cfd9c66d0bebf5e4e055227bb3b83d1dc8d734e2e","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":"2026-08-07T06:34:17.273281+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":"2026-08-05T17:52:28.021295Z","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":"2026-07-03T16:28:38.352564Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2412.16719","last_updated":"2024-12-28T17:45:12Z","snapshot_observed_at":"2026-08-02T07:05:43.916199Z","submitted_at":"2024-12-21T18:04:01Z","title":"Lillama: Large Language Models Compression via Low-Rank Feature Distillation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2412.16719","snapshot_observed_at":"2026-08-05T17:52:28.021295Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.16680","last_updated":"2025-08-26T02:14:41Z","snapshot_observed_at":"2026-08-05T17:52:25.502096Z","submitted_at":"2025-08-21T13:16:02Z","title":"CALR: Corrective Adaptive Low-Rank Decomposition for Efficient Large Language Model Layer Compression","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-05T17:52:28.021295Z"},"links":{"cited_paper":"/paper/2412.16719","citing_paper":"/paper/2508.16680"},"observation_digest":"sha256:5ba26e7f734393735a9ceeb37e4d27351f510709a91063b483e92f0c98df5292","observation_id":"99e1a964-ed56-4143-9af6-4b60f69254f0","resolution":{"observed_at":"2026-08-05T17:52:28.021295Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2412.16719","last_updated":"2024-12-28T17:45:12Z","snapshot_observed_at":"2026-08-02T07:05:43.916199Z","submitted_at":"2024-12-21T18:04:01Z","title":"Lillama: Large Language Models Compression via Low-Rank Feature Distillation","version":2},"cited_work":{"arxiv_id":"2412.16719","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2412.16719","snapshot_observed_at":"2026-07-03T16:28:38.352564Z","title":"arXiv preprint arXiv:2412.16719 (2024)","venue":null,"work_id":"f0da9233-e73f-4795-8c8c-ab4efdc9c12f","year":2024},"citing_paper":{"arxiv_id":"2607.01851","last_updated":"2026-07-02T08:11:32Z","snapshot_observed_at":"2026-07-07T00:07:23.664493Z","submitted_at":"2026-07-02T08:11:32Z","title":"Geometric Foundation Model Distillation for Efficient Lunar 3D Reconstruction","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-07-03T16:22:40.396646Z"},"links":{"cited_paper":"/paper/2412.16719","citing_paper":"/paper/2607.01851"},"observation_digest":"sha256:3915805d6e61c1e329982bd0082ecf8e0cff584268b6da4b0e0cc9ffc716bf4b","observation_id":"1236c6d1-d384-4426-860f-473f0c2d39ee","resolution":{"observed_at":"2026-07-03T16:28:38.353831Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2412.16719/citation-record","integrity":"/paper/2412.16719/integrity","json":"/paper/2412.16719/citation-record.json","paper":"/paper/2412.16719"},"outbound":[],"paper":{"arxiv_id":"2412.16719","last_updated":"2024-12-28T17:45:12Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-02T07:05:43.916199Z","submitted_at":"2024-12-21T18:04:01Z","title":"Lillama: Large Language Models Compression via Low-Rank Feature Distillation"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2412.16719."}