{"as_of":"2026-08-10T09:51:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:36f3b701ca3bc0edd5a537132f12ee688e054c5c574e4e8116707a5fcf9a0dc8","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:21:37.418553Z","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":"2026-07-01T19:36:09.374709Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2502.14318","last_updated":"2025-02-20T07:13:29Z","snapshot_observed_at":"2026-08-10T07:02:02.424628Z","submitted_at":"2025-02-20T07:13:29Z","title":"Line Goes Up? Inherent Limitations of Benchmarks for Evaluating Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14318","snapshot_observed_at":"2026-08-07T14:21:37.418553Z","title":"Line goes up? inherent limitations of benchmarks for evaluating large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.23790","last_updated":"2025-05-25T22:31:24Z","snapshot_observed_at":"2026-08-10T01:06:58.030296Z","submitted_at":"2025-05-25T22:31:24Z","title":"Rethinking the Understanding Ability across LLMs through Mutual Information","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T14:21:37.418553Z"},"links":{"cited_paper":"/paper/2502.14318","citing_paper":"/paper/2505.23790"},"observation_digest":"sha256:b445a1e558d4e9d029fd41206adc072efd0e4c6385ebe1bb8c8f72abc53b028b","observation_id":"b3cfdbff-a0ad-4aaf-8030-68e334d08b2c","resolution":{"observed_at":"2026-08-07T14:21:37.418553Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14318","last_updated":"2025-02-20T07:13:29Z","snapshot_observed_at":"2026-08-10T07:02:02.424628Z","submitted_at":"2025-02-20T07:13:29Z","title":"Line Goes Up? Inherent Limitations of Benchmarks for Evaluating Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2502.14318","snapshot_observed_at":"2026-08-04T21:25:26.758106Z","title":"Line Goes Up? Inherent Limitations of Benchmarks for Evaluating Large Language Models.ArXiv, 2502.14318, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.09717","last_updated":"2025-09-09T18:57:10Z","snapshot_observed_at":"2026-08-08T11:56:25.298917Z","submitted_at":"2025-09-09T18:57:10Z","title":"Testing chatbots on the creation of encoders for audio conditioned image generation","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-04T21:25:26.758106Z"},"links":{"cited_paper":"/paper/2502.14318","citing_paper":"/paper/2509.09717"},"observation_digest":"sha256:fd4cc4aa3ae896b66c4b901425dc343ba389a695959979b09768a0866d43fd75","observation_id":"047ae5d0-4bd9-4baf-8a9d-3790b8fe4c05","resolution":{"observed_at":"2026-08-04T21:25:26.758106Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14318","last_updated":"2025-02-20T07:13:29Z","snapshot_observed_at":"2026-08-10T07:02:02.424628Z","submitted_at":"2025-02-20T07:13:29Z","title":"Line Goes Up? Inherent Limitations of Benchmarks for Evaluating Large Language Models","version":1},"cited_work":{"arxiv_id":"2502.14318","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.14318","snapshot_observed_at":"2026-07-01T19:36:09.374709Z","title":"Line goes up? inherent limitations of benchmarks for evaluating large language models.arXiv preprint arXiv:2502.14318, 2025","venue":null,"work_id":"8a33b424-0343-4602-a88b-cf122023df2d","year":2025},"citing_paper":{"arxiv_id":"2605.08942","last_updated":"2026-05-09T13:22:47Z","snapshot_observed_at":"2026-07-06T23:21:06.773761Z","submitted_at":"2026-05-09T13:22:47Z","title":"Decomposing and Steering Functional Metacognition in Large Language Models","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-12T02:57:09.180530Z"},"links":{"cited_paper":"/paper/2502.14318","citing_paper":"/paper/2605.08942"},"observation_digest":"sha256:a8756a7aab137854a91f56ed222ccb40db237dda07c88d670520782e42a0ef9f","observation_id":"3c0267c0-188e-4166-8b33-e39ae0f8c32d","resolution":{"observed_at":"2026-05-12T07:26:28.435651Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14318","last_updated":"2025-02-20T07:13:29Z","snapshot_observed_at":"2026-08-10T07:02:02.424628Z","submitted_at":"2025-02-20T07:13:29Z","title":"Line Goes Up? Inherent Limitations of Benchmarks for Evaluating Large Language Models","version":1},"cited_work":{"arxiv_id":"2502.14318","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.14318","snapshot_observed_at":"2026-07-01T19:36:09.374709Z","title":"Line goes up? inherent limitations of benchmarks for evaluating large language models.arXiv preprint arXiv:2502.14318, 2025","venue":null,"work_id":"8a33b424-0343-4602-a88b-cf122023df2d","year":2025},"citing_paper":{"arxiv_id":"2605.14164","last_updated":"2026-05-13T22:39:10Z","snapshot_observed_at":"2026-07-06T23:25:39.415637Z","submitted_at":"2026-05-13T22:39:10Z","title":"Unsteady Metrics and Benchmarking Cultures of AI Model Builders","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-15T04:54:26.888562Z"},"links":{"cited_paper":"/paper/2502.14318","citing_paper":"/paper/2605.14164"},"observation_digest":"sha256:01cb97b1a790c00fc75ab85b4e69f1e0af82e4dd0d2498e09252ea8a41e5d01f","observation_id":"6e0fb51a-2dcc-4d9b-b2a3-5f2f31e7734d","resolution":{"observed_at":"2026-05-15T04:55:03.415081Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14318","last_updated":"2025-02-20T07:13:29Z","snapshot_observed_at":"2026-08-10T07:02:02.424628Z","submitted_at":"2025-02-20T07:13:29Z","title":"Line Goes Up? Inherent Limitations of Benchmarks for Evaluating Large Language Models","version":1},"cited_work":{"arxiv_id":"2502.14318","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.14318","snapshot_observed_at":"2026-07-01T19:36:09.374709Z","title":"Line goes up? inherent limitations of benchmarks for evaluating large language models.arXiv preprint arXiv:2502.14318, 2025","venue":null,"work_id":"8a33b424-0343-4602-a88b-cf122023df2d","year":2025},"citing_paper":{"arxiv_id":"2605.30018","last_updated":"2026-05-29T04:32:57Z","snapshot_observed_at":"2026-07-06T23:39:20.085961Z","submitted_at":"2026-05-28T14:41:26Z","title":"Latent Performance Profiling of Large Language Models","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-06-29T07:31:02.595386Z"},"links":{"cited_paper":"/paper/2502.14318","citing_paper":"/paper/2605.30018"},"observation_digest":"sha256:d4a7cbf64d039da923e84f2e4c47bdd08a374266b08a4d1da12195283cc4644f","observation_id":"476c8f7f-8442-48cb-959d-7359b2d33e6d","resolution":{"observed_at":"2026-06-29T07:33:13.403297Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2502.14318","last_updated":"2025-02-20T07:13:29Z","snapshot_observed_at":"2026-08-10T07:02:02.424628Z","submitted_at":"2025-02-20T07:13:29Z","title":"Line Goes Up? Inherent Limitations of Benchmarks for Evaluating Large Language Models","version":1},"cited_work":{"arxiv_id":"2502.14318","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2502.14318","snapshot_observed_at":"2026-07-01T19:36:09.374709Z","title":"Line goes up? inherent limitations of benchmarks for evaluating large language models.arXiv preprint arXiv:2502.14318, 2025","venue":null,"work_id":"8a33b424-0343-4602-a88b-cf122023df2d","year":2025},"citing_paper":{"arxiv_id":"2606.00288","last_updated":"2026-06-24T07:36:07Z","snapshot_observed_at":"2026-07-06T23:41:01.066075Z","submitted_at":"2026-05-29T19:20:16Z","title":"Model-Native Computing Architecture: Envisioning Future System Architecture Through the Lens of Computer Architecture","version":3},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-06-28T22:12:13.114405Z"},"links":{"cited_paper":"/paper/2502.14318","citing_paper":"/paper/2606.00288"},"observation_digest":"sha256:fa1ec4b27d321bc34bfb5b2669e6e5aba1cd835c555ccaaaa72de63fcc441013","observation_id":"dd6452f0-3348-455d-9b73-c017a1972970","resolution":{"observed_at":"2026-07-01T19:36:09.376299Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2502.14318/citation-record","integrity":"/paper/2502.14318/integrity","json":"/paper/2502.14318/citation-record.json","paper":"/paper/2502.14318"},"outbound":[],"paper":{"arxiv_id":"2502.14318","last_updated":"2025-02-20T07:13:29Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-10T07:02:02.424628Z","submitted_at":"2025-02-20T07:13:29Z","title":"Line Goes Up? Inherent Limitations of Benchmarks for Evaluating 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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2502.14318."}