{"as_of":"2026-08-09T14:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e569657b17d9cc46e33c3190ff0825f6e69b7241d3de10bf9f6710b778e6d85","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-08T22:36:35.362434Z","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":"2026-05-21T08:49:53.756683Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2402.18667","last_updated":"2024-02-28T19:23:27Z","snapshot_observed_at":"2026-08-08T06:23:16.006834Z","submitted_at":"2024-02-28T19:23:27Z","title":"FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18667","snapshot_observed_at":"2026-08-08T22:36:35.362434Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.04498","last_updated":"2025-02-06T20:57:36Z","snapshot_observed_at":"2026-08-08T22:29:08.186037Z","submitted_at":"2025-02-06T20:57:36Z","title":"Verifiable Format Control for Large Language Model Generations","version":1},"reference_index":47,"source":"arxiv_source","source_observed_at":"2026-08-08T22:36:35.362434Z"},"links":{"cited_paper":"/paper/2402.18667","citing_paper":"/paper/2502.04498"},"observation_digest":"sha256:42122ac2287b088736276d2755c235870d72b0649990dffbc87c1359f0078363","observation_id":"f1a84af6-924c-45d2-b54e-95e4d69ae204","resolution":{"observed_at":"2026-08-08T22:36:35.362434Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18667","last_updated":"2024-02-28T19:23:27Z","snapshot_observed_at":"2026-08-08T06:23:16.006834Z","submitted_at":"2024-02-28T19:23:27Z","title":"FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18667","snapshot_observed_at":"2026-08-08T17:10:39.848115Z","title":"Fofo: A benchmark to evaluate llms' format-following capability","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2502.06901","last_updated":"2025-02-09T20:02:05Z","snapshot_observed_at":"2026-08-09T13:14:38.685381Z","submitted_at":"2025-02-09T20:02:05Z","title":"Enabling Autoregressive Models to Fill In Masked Tokens","version":1},"reference_index":46,"source":"arxiv_source","source_observed_at":"2026-08-08T17:10:39.848115Z"},"links":{"cited_paper":"/paper/2402.18667","citing_paper":"/paper/2502.06901"},"observation_digest":"sha256:2629597ef5686bfaa680a7b42c96cb190ab95790672ea4fa510a67cbaf7479d7","observation_id":"449781f1-aa04-4d85-9d85-8fefacf44433","resolution":{"observed_at":"2026-08-08T17:10:39.848115Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18667","last_updated":"2024-02-28T19:23:27Z","snapshot_observed_at":"2026-08-08T06:23:16.006834Z","submitted_at":"2024-02-28T19:23:27Z","title":"FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18667","snapshot_observed_at":"2026-08-06T14:37:37.794476Z","title":"arXiv preprint arXiv:2402.18667 (2024)","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.18442","last_updated":"2025-07-24T14:26:41Z","snapshot_observed_at":"2026-08-07T10:05:40.605947Z","submitted_at":"2025-07-24T14:26:41Z","title":"AraTable: Benchmarking LLMs' Reasoning and Understanding of Arabic Tabular Data","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-06T14:37:37.794476Z"},"links":{"cited_paper":"/paper/2402.18667","citing_paper":"/paper/2507.18442"},"observation_digest":"sha256:b47dc8d4207c0805075f0a51d46815f660e325bc7c81f88106941d22ff5ad950","observation_id":"aeca3003-8e41-4678-af24-52cb62a1a04b","resolution":{"observed_at":"2026-08-06T14:37:37.794476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18667","last_updated":"2024-02-28T19:23:27Z","snapshot_observed_at":"2026-08-08T06:23:16.006834Z","submitted_at":"2024-02-28T19:23:27Z","title":"FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability","version":1},"cited_work":{"arxiv_id":"2402.18667","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.18667","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2402.18667 , year=","venue":null,"work_id":"7c9aa112-978c-4101-a9fb-863c7379cd78","year":2024},"citing_paper":{"arxiv_id":"2604.09285","last_updated":"2026-04-10T12:55:23Z","snapshot_observed_at":"2026-08-05T01:20:50.277571Z","submitted_at":"2026-04-10T12:55:23Z","title":"SAGE: A Service Agent Graph-guided Evaluation Benchmark","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-05-10T16:41:23.956104Z"},"links":{"cited_paper":"/paper/2402.18667","citing_paper":"/paper/2604.09285"},"observation_digest":"sha256:dab2667d66c618c9a11df2241371a72d850448e7d3f645a0323c68802f6c02ea","observation_id":"59480ad6-dce1-4844-ae79-3494d9013396","resolution":{"observed_at":"2026-05-11T08:21:00.959008Z","resolver_source":"arxiv_id","status":"verified_exact"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18667","last_updated":"2024-02-28T19:23:27Z","snapshot_observed_at":"2026-08-08T06:23:16.006834Z","submitted_at":"2024-02-28T19:23:27Z","title":"FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability","version":1},"cited_work":{"arxiv_id":"2402.18667","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2402.18667","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2402.18667 , year=","venue":null,"work_id":"7c9aa112-978c-4101-a9fb-863c7379cd78","year":2024},"citing_paper":{"arxiv_id":"2605.15104","last_updated":"2026-05-20T10:20:54Z","snapshot_observed_at":"2026-07-06T23:26:28.006734Z","submitted_at":"2026-05-14T17:22:42Z","title":"From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-05-21T08:45:56.550821Z"},"links":{"cited_paper":"/paper/2402.18667","citing_paper":"/paper/2605.15104"},"observation_digest":"sha256:0c21d15c7f192d6233a4abfbd6bab981b49b96be133bcde2872f18b1a6234ad6","observation_id":"95d2e094-72f2-4069-8987-ecead4b90d54","resolution":{"observed_at":"2026-05-21T08:49:53.758545Z","resolver_source":"arxiv_id","status":"verified_exact"},"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"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18667","last_updated":"2024-02-28T19:23:27Z","snapshot_observed_at":"2026-08-08T06:23:16.006834Z","submitted_at":"2024-02-28T19:23:27Z","title":"FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18667","snapshot_observed_at":"2026-08-01T21:31:51.745650Z","title":"doi:10.48550/arXiv.2402.18667 , urldate =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.16057","last_updated":"2026-08-03T18:41:38Z","snapshot_observed_at":"2026-08-07T23:09:33.743540Z","submitted_at":"2026-07-17T15:34:51Z","title":"Frontier AI performance across the business disciplines: a case-grounded benchmark of knowledge work and analytical reasoning","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-01T21:31:51.745650Z"},"links":{"cited_paper":"/paper/2402.18667","citing_paper":"/paper/2607.16057"},"observation_digest":"sha256:49551e1996ad8ce5650a6ac2242f158dbf4a877a3deb09ca5b9b345bcfcfdef1","observation_id":"66ceaa30-b033-437f-88bb-41be7ef9e143","resolution":{"observed_at":"2026-08-01T21:31:51.745650Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.18667","last_updated":"2024-02-28T19:23:27Z","snapshot_observed_at":"2026-08-08T06:23:16.006834Z","submitted_at":"2024-02-28T19:23:27Z","title":"FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.18667","snapshot_observed_at":"2026-08-03T00:49:50.819098Z","title":"doi:10.48550/arXiv.2402.18667 , urldate =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.16057","last_updated":"2026-08-03T18:41:38Z","snapshot_observed_at":"2026-08-07T23:09:33.743540Z","submitted_at":"2026-07-17T15:34:51Z","title":"Frontier AI performance across the business disciplines: a case-grounded benchmark of knowledge work and analytical reasoning","version":3},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-03T00:49:50.819098Z"},"links":{"cited_paper":"/paper/2402.18667","citing_paper":"/paper/2607.16057"},"observation_digest":"sha256:75da77373455bac8fa90550a019d737da2cc13e004854d2424a51afce79c9429","observation_id":"3826f26e-4bbb-42c4-ae95-9c57ee8835f6","resolution":{"observed_at":"2026-08-03T00:49:50.819098Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2402.18667/citation-record","integrity":"/paper/2402.18667/integrity","json":"/paper/2402.18667/citation-record.json","paper":"/paper/2402.18667"},"outbound":[],"paper":{"arxiv_id":"2402.18667","last_updated":"2024-02-28T19:23:27Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-08T06:23:16.006834Z","submitted_at":"2024-02-28T19:23:27Z","title":"FOFO: A Benchmark to Evaluate LLMs' Format-Following Capability"},"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 7 inbound Pith citation observations for arXiv:2402.18667."}