{"as_of":"2026-08-01T16:46:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:ca0538344da5dceaf351d0c0b2a0e480b7cbcc47a7cc2ba0d895315cd82e0744","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":"2026-08-01T06:32:01.292127+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":"2026-07-10T01:26:59.421158Z","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":"2026-07-10T01:36:44.031071Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.19707","last_updated":"2024-06-28T07:41:26Z","snapshot_observed_at":"2026-07-06T18:38:21.977142Z","submitted_at":"2024-06-28T07:41:26Z","title":"InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management","version":1},"cited_work":{"arxiv_id":"2406.19707","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.19707","snapshot_observed_at":"2026-07-10T01:36:44.031071Z","title":"Xin Li and Dan Roth","venue":"cs.LG","work_id":"57b180a0-b105-4bd0-a104-5e90e82b0121","year":2024},"citing_paper":{"arxiv_id":"2406.02069","last_updated":"2025-05-15T17:18:12Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-06-04T07:51:30Z","title":"PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling","version":4},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-12T09:58:29.057357Z"},"links":{"cited_paper":"/paper/2406.19707","citing_paper":"/paper/2406.02069"},"observation_digest":"sha256:67554d2cbb221e2cf981a184edaef377b497a62895b232ac9d42d1ab1042503e","observation_id":"dccc4d18-53e0-470f-8c6e-8d12fae31190","resolution":{"observed_at":"2026-05-12T09:58:29.177917Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.19707","last_updated":"2024-06-28T07:41:26Z","snapshot_observed_at":"2026-07-06T18:38:21.977142Z","submitted_at":"2024-06-28T07:41:26Z","title":"InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management","version":1},"cited_work":{"arxiv_id":"2406.19707","doi":null,"metadata_source":"pith","pith_arxiv_id":"2406.19707","snapshot_observed_at":"2026-07-10T01:36:44.031071Z","title":"Xin Li and Dan Roth","venue":"cs.LG","work_id":"57b180a0-b105-4bd0-a104-5e90e82b0121","year":2024},"citing_paper":{"arxiv_id":"2607.08032","last_updated":"2026-07-09T01:15:03Z","snapshot_observed_at":"2026-07-30T03:42:18.629996Z","submitted_at":"2026-07-09T01:15:03Z","title":"What to Keep, What to Forget: A Rate--Distortion View of Memory Compaction in LLMs and Agents","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-07-10T01:26:59.421158Z"},"links":{"cited_paper":"/paper/2406.19707","citing_paper":"/paper/2607.08032"},"observation_digest":"sha256:bd2cd8e0271590fc2bbc2872321ca9dff5971aa81ba39c27a4740965d8527624","observation_id":"25aa3296-4961-4fb7-afed-6a6942e02e3c","resolution":{"observed_at":"2026-07-10T01:36:44.032589Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-01T06:32:01.292127+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.19707/citation-record","integrity":"/paper/2406.19707/integrity","json":"/paper/2406.19707/citation-record.json","paper":"/paper/2406.19707"},"outbound":[],"paper":{"arxiv_id":"2406.19707","last_updated":"2024-06-28T07:41:26Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T18:38:21.977142Z","submitted_at":"2024-06-28T07:41:26Z","title":"InfiniGen: Efficient Generative Inference of Large Language Models with Dynamic KV Cache Management"},"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":"2026-08-01T06:32:01.292127+00:00","source":"crossref"},{"observed_at":"2026-08-01T06:31:58.492377+00:00","source":"retraction_watch"}],"thesis":"As of 1 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.19707."}