{"as_of":"2026-08-09T11:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2c4aef7400fbe19798ddd18f9dee2365634e5bcd07575b20b5f236460c579742","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":"2026-08-09T06:31:02.800959+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":"2026-08-07T14:18:00.343574Z","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":"2026-08-07T05:35:01.544324Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2410.21352","last_updated":"2024-10-31T06:01:26Z","snapshot_observed_at":"2026-07-06T19:41:01.525832Z","submitted_at":"2024-10-28T14:45:01Z","title":"LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.21352","snapshot_observed_at":"2026-08-07T14:18:00.343574Z","title":"Llmcbench: Benchmarking large language model compression for efficient deployment","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2505.19433","last_updated":"2025-06-01T13:59:15Z","snapshot_observed_at":"2026-08-07T14:11:55.401752Z","submitted_at":"2025-05-26T02:49:07Z","title":"Can Compressed LLMs Truly Act? An Empirical Evaluation of Agentic Capabilities in LLM Compression","version":2},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-07T14:18:00.343574Z"},"links":{"cited_paper":"/paper/2410.21352","citing_paper":"/paper/2505.19433"},"observation_digest":"sha256:0b328e33a2b67d8e787bf6b871ba1eb5a6499f8b453f6ea505a03572c31bc77a","observation_id":"2bc95866-01f3-46fe-b86c-6e67c75a4723","resolution":{"observed_at":"2026-08-07T14:18:00.343574Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21352","last_updated":"2024-10-31T06:01:26Z","snapshot_observed_at":"2026-07-06T19:41:01.525832Z","submitted_at":"2024-10-28T14:45:01Z","title":"LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment","version":2},"cited_work":{"arxiv_id":"2410.21352","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.21352","snapshot_observed_at":"2026-08-07T05:35:01.544324Z","title":"LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment","venue":"cs.CL","work_id":"12c80d94-3712-40a2-a28e-765b298cdd25","year":2024},"citing_paper":{"arxiv_id":"2506.07627","last_updated":"2025-06-09T10:45:35Z","snapshot_observed_at":"2026-08-07T06:32:54.058652Z","submitted_at":"2025-06-09T10:45:35Z","title":"Event-Priori-Based Vision-Language Model for Efficient Visual Understanding","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T05:35:01.450581Z"},"links":{"cited_paper":"/paper/2410.21352","citing_paper":"/paper/2506.07627"},"observation_digest":"sha256:0e71e553de74a1ebf2d43ebc0c4a4b770126b9552448f092665e59b8d74f959b","observation_id":"7bb93c8a-aa06-44ee-a5d2-5247173e11e6","resolution":{"observed_at":"2026-08-07T05:35:01.553729Z","resolver_source":"local_arxiv","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2410.21352/citation-record","integrity":"/paper/2410.21352/integrity","json":"/paper/2410.21352/citation-record.json","paper":"/paper/2410.21352"},"outbound":[],"paper":{"arxiv_id":"2410.21352","last_updated":"2024-10-31T06:01:26Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T19:41:01.525832Z","submitted_at":"2024-10-28T14:45:01Z","title":"LLMCBench: Benchmarking Large Language Model Compression for Efficient Deployment"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.21352."}