{"as_of":"2026-08-08T15:42:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3e12674173b5b7340407ae98b954731c54d4cf1329eac0fac1c0c8d4b6d80354","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T13:08:37.868531Z","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":"2026-05-25T04:50:21.483105Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.15020","last_updated":"2023-07-27T17:24:09Z","snapshot_observed_at":"2026-07-06T15:59:23.019044Z","submitted_at":"2023-07-27T17:24:09Z","title":"SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark","version":1},"cited_work":{"arxiv_id":"2307.15020","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.15020","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2307.15020 , year =","venue":null,"work_id":"e9fefe0e-34f1-4ae8-95b1-4a7ce7175b9a","year":2023},"citing_paper":{"arxiv_id":"2401.15947","last_updated":"2024-12-23T08:05:14Z","snapshot_observed_at":"2026-08-06T02:31:58.372974Z","submitted_at":"2024-01-29T08:13:40Z","title":"MoE-LLaVA: Mixture of Experts for Large Vision-Language Models","version":5},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-05-16T02:33:30.143907Z"},"links":{"cited_paper":"/paper/2307.15020","citing_paper":"/paper/2401.15947"},"observation_digest":"sha256:ce93d4abb63f64f923a53b8970701407b9ab5981670dcc87859f20907b680dc0","observation_id":"7a217b55-d1a5-446e-ac9a-e4a613ba36e3","resolution":{"observed_at":"2026-05-16T02:33:30.405951Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15020","last_updated":"2023-07-27T17:24:09Z","snapshot_observed_at":"2026-07-06T15:59:23.019044Z","submitted_at":"2023-07-27T17:24:09Z","title":"SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark","version":1},"cited_work":{"arxiv_id":"2307.15020","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.15020","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2307.15020 , year =","venue":null,"work_id":"e9fefe0e-34f1-4ae8-95b1-4a7ce7175b9a","year":2023},"citing_paper":{"arxiv_id":"2404.16821","last_updated":"2024-04-29T20:24:30Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-04-25T17:59:19Z","title":"How Far Are We to GPT-4V? Closing the Gap to Commercial Multimodal Models with Open-Source Suites","version":2},"reference_index":104,"source":"pdf_text","source_observed_at":"2026-05-12T20:58:58.849040Z"},"links":{"cited_paper":"/paper/2307.15020","citing_paper":"/paper/2404.16821"},"observation_digest":"sha256:2eced3e702b2bfc06409a0fea2e4179079c0f7ba7877e81eaf3b2198f4758a96","observation_id":"e30deb87-f7e3-4392-8357-130b35f9efc0","resolution":{"observed_at":"2026-05-12T20:58:59.190037Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15020","last_updated":"2023-07-27T17:24:09Z","snapshot_observed_at":"2026-07-06T15:59:23.019044Z","submitted_at":"2023-07-27T17:24:09Z","title":"SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark","version":1},"cited_work":{"arxiv_id":"2307.15020","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.15020","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2307.15020 , year =","venue":null,"work_id":"e9fefe0e-34f1-4ae8-95b1-4a7ce7175b9a","year":2023},"citing_paper":{"arxiv_id":"2412.05271","last_updated":"2025-09-26T12:52:41Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-12-06T18:57:08Z","title":"Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling","version":5},"reference_index":222,"source":"pdf_text","source_observed_at":"2026-05-10T13:23:57.588851Z"},"links":{"cited_paper":"/paper/2307.15020","citing_paper":"/paper/2412.05271"},"observation_digest":"sha256:1d0cfb3d31ea84c67e6b74432875f35264e18ea6d9f9956975385fb8ab9eb7c3","observation_id":"d30e5aad-e7c0-4492-bdef-e7acfbcf260f","resolution":{"observed_at":"2026-05-10T13:23:58.014387Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15020","last_updated":"2023-07-27T17:24:09Z","snapshot_observed_at":"2026-07-06T15:59:23.019044Z","submitted_at":"2023-07-27T17:24:09Z","title":"SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.15020","snapshot_observed_at":"2026-08-07T13:08:37.868531Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.22645","last_updated":"2025-05-28T17:56:49Z","snapshot_observed_at":"2026-08-07T13:00:11.133396Z","submitted_at":"2025-05-28T17:56:49Z","title":"Characterizing Bias: Benchmarking Large Language Models in Simplified versus Traditional Chinese","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-07T13:08:37.868531Z"},"links":{"cited_paper":"/paper/2307.15020","citing_paper":"/paper/2505.22645"},"observation_digest":"sha256:b825cce9cc0756e15628d092a8a6f2626b9270ebda735adfc3bad9cb287a3897","observation_id":"e5d123ac-7ebf-4b8a-8a2b-eea636c20ea8","resolution":{"observed_at":"2026-08-07T13:08:37.868531Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15020","last_updated":"2023-07-27T17:24:09Z","snapshot_observed_at":"2026-07-06T15:59:23.019044Z","submitted_at":"2023-07-27T17:24:09Z","title":"SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.15020","snapshot_observed_at":"2026-08-06T19:42:13.672819Z","title":"arXiv preprint arXiv:2307.15020 7, 3 (2023)","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.04877","last_updated":"2025-07-07T11:04:03Z","snapshot_observed_at":"2026-08-08T04:21:53.118446Z","submitted_at":"2025-07-07T11:04:03Z","title":"DoPI: Doctor-like Proactive Interrogation LLM for Traditional Chinese Medicine","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-06T19:42:13.672819Z"},"links":{"cited_paper":"/paper/2307.15020","citing_paper":"/paper/2507.04877"},"observation_digest":"sha256:7f4992329e59b5e3b7ced3f20922856fd4ec3b39c8f864faaa51b88a3f7dd644","observation_id":"a374978f-5a0f-4b02-b3f6-832041adb1c6","resolution":{"observed_at":"2026-08-06T19:42:13.672819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15020","last_updated":"2023-07-27T17:24:09Z","snapshot_observed_at":"2026-07-06T15:59:23.019044Z","submitted_at":"2023-07-27T17:24:09Z","title":"SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark","version":1},"cited_work":{"arxiv_id":"2307.15020","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.15020","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2307.15020 , year =","venue":null,"work_id":"e9fefe0e-34f1-4ae8-95b1-4a7ce7175b9a","year":2023},"citing_paper":{"arxiv_id":"2605.08904","last_updated":"2026-05-09T11:51:34Z","snapshot_observed_at":"2026-07-06T23:21:02.177557Z","submitted_at":"2026-05-09T11:51:34Z","title":"OPT-BENCH: Evaluating the Iterative Self-Optimization of LLM Agents in Large-Scale Search Spaces","version":1},"reference_index":65,"source":"arxiv_source","source_observed_at":"2026-05-12T02:57:15.521594Z"},"links":{"cited_paper":"/paper/2307.15020","citing_paper":"/paper/2605.08904"},"observation_digest":"sha256:09dbd7d86469f5b8a6eb68be15172073db1b6247737e01fa5e6ba84907b42c90","observation_id":"80666c11-096f-4893-b7bd-f2959b6f52bf","resolution":{"observed_at":"2026-05-12T03:01:18.595801Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.15020","last_updated":"2023-07-27T17:24:09Z","snapshot_observed_at":"2026-07-06T15:59:23.019044Z","submitted_at":"2023-07-27T17:24:09Z","title":"SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark","version":1},"cited_work":{"arxiv_id":"2307.15020","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.15020","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2307.15020 , year =","venue":null,"work_id":"e9fefe0e-34f1-4ae8-95b1-4a7ce7175b9a","year":2023},"citing_paper":{"arxiv_id":"2605.23825","last_updated":"2026-05-22T16:29:02Z","snapshot_observed_at":"2026-08-01T22:52:26.050922Z","submitted_at":"2026-05-22T16:29:02Z","title":"It's the humans, not the data: Geopolitical bias in LLMs originates in post-training, amplified by the language of the prompt","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-05-25T04:46:50.086940Z"},"links":{"cited_paper":"/paper/2307.15020","citing_paper":"/paper/2605.23825"},"observation_digest":"sha256:a4c95c21704f43550bd5a0796b44885de8467484d5006f5fcfd433d9f6503ace","observation_id":"2acc34a8-d4a0-438c-8bf2-026bdd1f9392","resolution":{"observed_at":"2026-05-25T04:50:21.486415Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2307.15020/citation-record","integrity":"/paper/2307.15020/integrity","json":"/paper/2307.15020/citation-record.json","paper":"/paper/2307.15020"},"outbound":[],"paper":{"arxiv_id":"2307.15020","last_updated":"2023-07-27T17:24:09Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T15:59:23.019044Z","submitted_at":"2023-07-27T17:24:09Z","title":"SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2307.15020."}