{"as_of":"2026-08-14T00:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:5d9f9009a7eba2e59ce397890673f9f38c6bf0fd7b3fdb8975d31cac8dc1fada","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-13T06:32:02.005865+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T17:10:39.859709Z","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":"2026-05-21T12:15:06.804154Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.09529","last_updated":"2024-04-15T07:49:10Z","snapshot_observed_at":"2026-08-13T09:31:06.716710Z","submitted_at":"2024-04-15T07:49:10Z","title":"Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.09529","snapshot_observed_at":"2026-08-08T17:10:39.859709Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06901","last_updated":"2025-02-09T20:02:05Z","snapshot_observed_at":"2026-08-10T10:46:34.379065Z","submitted_at":"2025-02-09T20:02:05Z","title":"Enabling Autoregressive Models to Fill In Masked Tokens","version":1},"reference_index":49,"source":"arxiv_source","source_observed_at":"2026-08-08T17:10:39.859709Z"},"links":{"cited_paper":"/paper/2404.09529","citing_paper":"/paper/2502.06901"},"observation_digest":"sha256:894fa645966dfdbbc37dc09c4f1851578ba3f7848cc4e0faf9ed43cfcb3bcad5","observation_id":"56c57e3a-696d-4189-b0b7-dea6c0b062c8","resolution":{"observed_at":"2026-08-08T17:10:39.859709Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.09529","last_updated":"2024-04-15T07:49:10Z","snapshot_observed_at":"2026-08-13T09:31:06.716710Z","submitted_at":"2024-04-15T07:49:10Z","title":"Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.09529","snapshot_observed_at":"2026-08-07T21:10:45.914537Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.09541","last_updated":"2025-02-13T17:57:05Z","snapshot_observed_at":"2026-08-12T03:24:12.741047Z","submitted_at":"2025-02-13T17:57:05Z","title":"Vortex: Overcoming Memory Capacity Limitations in GPU-Accelerated Large-Scale Data Analytics","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T21:10:45.914537Z"},"links":{"cited_paper":"/paper/2404.09529","citing_paper":"/paper/2502.09541"},"observation_digest":"sha256:5054d7ed1b931f03f280926b1d4c5666cfec14ef22bf5024714b47d7489377fd","observation_id":"5d8c3e83-9a64-4aa8-828b-4f14174d8e41","resolution":{"observed_at":"2026-08-07T21:10:45.914537Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.09529","last_updated":"2024-04-15T07:49:10Z","snapshot_observed_at":"2026-08-13T09:31:06.716710Z","submitted_at":"2024-04-15T07:49:10Z","title":"Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models","version":1},"cited_work":{"arxiv_id":"2404.09529","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.09529","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":null,"venue":null,"work_id":"561c3d20-7a46-405b-9d56-9d3f324ad90d","year":2024},"citing_paper":{"arxiv_id":"2603.10726","last_updated":"2026-05-20T10:27:28Z","snapshot_observed_at":"2026-07-06T22:48:39.649787Z","submitted_at":"2026-03-11T12:59:12Z","title":"PrefixWall: Mitigating Prefix Caching Side Channels in Shared LLM Systems","version":2},"reference_index":74,"source":"pdf_text","source_observed_at":"2026-05-21T12:14:09.509302Z"},"links":{"cited_paper":"/paper/2404.09529","citing_paper":"/paper/2603.10726"},"observation_digest":"sha256:d0fb750732f2df5b8d2e8f9e5637a9c7c39c83ca81a0b43dde9db4d1cce9cd32","observation_id":"b6009472-d10e-46c8-99ec-cd39bdff7fd3","resolution":{"observed_at":"2026-05-21T12:15:06.806144Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2404.09529/citation-record","integrity":"/paper/2404.09529/integrity","json":"/paper/2404.09529/citation-record.json","paper":"/paper/2404.09529"},"outbound":[],"paper":{"arxiv_id":"2404.09529","last_updated":"2024-04-15T07:49:10Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-13T09:31:06.716710Z","submitted_at":"2024-04-15T07:49:10Z","title":"Prepacking: A Simple Method for Fast Prefilling and Increased Throughput in Large Language Models"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2404.09529."}