{"as_of":"2026-08-09T13:05:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:3a052459413015d470c0c6fa37034460e07d4b44c5003f58472002b33c88e02f","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":11,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":11,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":11,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":11,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-09T04:32:43.086678Z","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":"2026-06-28T23:52:49.758119Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2304.02015","last_updated":"2023-03-16T09:28:15Z","snapshot_observed_at":"2026-08-04T17:38:55.806742Z","submitted_at":"2023-03-16T09:28:15Z","title":"How well do Large Language Models perform in Arithmetic tasks?","version":1},"cited_work":{"arxiv_id":"2304.02015","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.02015","snapshot_observed_at":"2026-06-28T23:52:49.758119Z","title":"How well do large language models perform in arithmetic tasks?","venue":null,"work_id":"0d166353-6da0-4ac8-aaa1-61ddb1ca358e","year":2023},"citing_paper":{"arxiv_id":"2308.01825","last_updated":"2023-09-13T03:57:29Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-08-03T15:34:01Z","title":"Scaling Relationship on Learning Mathematical Reasoning with Large Language Models","version":2},"reference_index":103,"source":"arxiv_source","source_observed_at":"2026-05-15T00:22:10.974593Z"},"links":{"cited_paper":"/paper/2304.02015","citing_paper":"/paper/2308.01825"},"observation_digest":"sha256:31d8cc5364ed74e5aa717b633d4f75911883a357d94f52c74aaef478712f7e8a","observation_id":"4ce92760-6329-4722-a83f-a8c50b1dc9b0","resolution":{"observed_at":"2026-05-15T00:22:11.044608Z","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":"2304.02015","last_updated":"2023-03-16T09:28:15Z","snapshot_observed_at":"2026-08-04T17:38:55.806742Z","submitted_at":"2023-03-16T09:28:15Z","title":"How well do Large Language Models perform in Arithmetic tasks?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02015","snapshot_observed_at":"2026-08-09T04:32:43.086678Z","title":"How well do large language models perform in arithmetic tasks? arXiv preprint arXiv:2304.02015, 2023","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.03568","last_updated":"2025-07-04T16:53:00Z","snapshot_observed_at":"2026-08-09T06:40:24.468945Z","submitted_at":"2025-02-05T19:30:28Z","title":"Code Simulation as a Proxy for High-order Tasks in Large Language Models","version":3},"reference_index":52,"source":"arxiv_source","source_observed_at":"2026-08-09T04:32:43.086678Z"},"links":{"cited_paper":"/paper/2304.02015","citing_paper":"/paper/2502.03568"},"observation_digest":"sha256:0986f731907d196afd843f2354b0dcb254785320343919d2b5256ae0a3ff1aa2","observation_id":"82e21b28-e62c-40e4-9576-c40b6235649d","resolution":{"observed_at":"2026-08-09T04:32:43.086678Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02015","last_updated":"2023-03-16T09:28:15Z","snapshot_observed_at":"2026-08-04T17:38:55.806742Z","submitted_at":"2023-03-16T09:28:15Z","title":"How well do Large Language Models perform in Arithmetic tasks?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02015","snapshot_observed_at":"2026-08-08T15:11:08.200325Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2502.06533","last_updated":"2025-02-10T14:56:25Z","snapshot_observed_at":"2026-08-08T15:05:57.951816Z","submitted_at":"2025-02-10T14:56:25Z","title":"Ignore the KL Penalty! Boosting Exploration on Critical Tokens to Enhance RL Fine-Tuning","version":1},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-08T15:11:08.200325Z"},"links":{"cited_paper":"/paper/2304.02015","citing_paper":"/paper/2502.06533"},"observation_digest":"sha256:fcbcb7ca28240f62d79f967ed81bcea3cea03282b64c67227e45c621dff3ab10","observation_id":"cdf1b3b7-0ef0-4a28-98f7-d25e3ee8bb00","resolution":{"observed_at":"2026-08-08T15:11:08.200325Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02015","last_updated":"2023-03-16T09:28:15Z","snapshot_observed_at":"2026-08-04T17:38:55.806742Z","submitted_at":"2023-03-16T09:28:15Z","title":"How well do Large Language Models perform in Arithmetic tasks?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02015","snapshot_observed_at":"2026-08-07T18:31:46.677098Z","title":"Zhou, D.; Sch¨ arli, N.; Hou, L.; Wei, J.; Scales, N.; Wang, X.; Schuurmans, D.; Cui, C.; Bousquet, O.; Le, Q","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2502.10338","last_updated":"2025-02-14T17:55:43Z","snapshot_observed_at":"2026-08-09T00:02:11.688683Z","submitted_at":"2025-02-14T17:55:43Z","title":"Evaluating the Meta- and Object-Level Reasoning of Large Language Models for Question Answering","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T18:31:46.677098Z"},"links":{"cited_paper":"/paper/2304.02015","citing_paper":"/paper/2502.10338"},"observation_digest":"sha256:ddf21795335ffb0125aeb790028c1d6cbe74096726643229bb042c33951a3048","observation_id":"aa43d4a0-dd03-4830-8394-52bec8d3ab11","resolution":{"observed_at":"2026-08-07T18:31:46.677098Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02015","last_updated":"2023-03-16T09:28:15Z","snapshot_observed_at":"2026-08-04T17:38:55.806742Z","submitted_at":"2023-03-16T09:28:15Z","title":"How well do Large Language Models perform in Arithmetic tasks?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02015","snapshot_observed_at":"2026-08-06T18:44:42.016394Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2507.07439","last_updated":"2025-07-10T05:29:34Z","snapshot_observed_at":"2026-08-07T22:30:13.079720Z","submitted_at":"2025-07-10T05:29:34Z","title":"Towards Interpretable Time Series Foundation Models","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T18:44:42.016394Z"},"links":{"cited_paper":"/paper/2304.02015","citing_paper":"/paper/2507.07439"},"observation_digest":"sha256:6d83dc72afa15974df9559e9b8ae772888578ab454958eecc2686ef1ee6b0e7f","observation_id":"c03f2d15-1fd9-43c4-a042-e11062ef6b4e","resolution":{"observed_at":"2026-08-06T18:44:42.016394Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02015","last_updated":"2023-03-16T09:28:15Z","snapshot_observed_at":"2026-08-04T17:38:55.806742Z","submitted_at":"2023-03-16T09:28:15Z","title":"How well do Large Language Models perform in Arithmetic tasks?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02015","snapshot_observed_at":"2026-08-02T21:43:10.979941Z","title":"How well do large language models perform in arithmetic tasks?arXiv preprint arXiv:2304.02015,","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2602.19313","last_updated":"2026-07-22T22:14:13Z","snapshot_observed_at":"2026-08-02T21:43:05.758047Z","submitted_at":"2026-02-22T19:25:48Z","title":"TOPReward: Token Probabilities as Hidden Zero-Shot Rewards for Robotics","version":2},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-02T21:43:10.979941Z"},"links":{"cited_paper":"/paper/2304.02015","citing_paper":"/paper/2602.19313"},"observation_digest":"sha256:efec9c00c11395263b3efa06bcbf54742dd44f05e3894cebade81d426dd8f2d4","observation_id":"c6e8372f-62d1-4f30-83b1-06ac46e77f95","resolution":{"observed_at":"2026-08-02T21:43:10.979941Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02015","last_updated":"2023-03-16T09:28:15Z","snapshot_observed_at":"2026-08-04T17:38:55.806742Z","submitted_at":"2023-03-16T09:28:15Z","title":"How well do Large Language Models perform in Arithmetic tasks?","version":1},"cited_work":{"arxiv_id":"2304.02015","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.02015","snapshot_observed_at":"2026-06-28T23:52:49.758119Z","title":"How well do large language models perform in arithmetic tasks?","venue":null,"work_id":"0d166353-6da0-4ac8-aaa1-61ddb1ca358e","year":2023},"citing_paper":{"arxiv_id":"2604.13533","last_updated":"2026-04-22T06:55:18Z","snapshot_observed_at":"2026-07-31T16:36:40.643204Z","submitted_at":"2026-04-15T06:29:02Z","title":"Evolvable Embodied Agent for Robotic Manipulation via Long Short-Term Reflection and Optimization","version":2},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-05-10T13:04:48.932945Z"},"links":{"cited_paper":"/paper/2304.02015","citing_paper":"/paper/2604.13533"},"observation_digest":"sha256:84e7d1e09f6159f0c32a314caf4f6fc9196b38d8e221db3d02455c5fd6a83b91","observation_id":"d8f9aa90-b92b-4f81-8b3f-e0ff2aa7fe9b","resolution":{"observed_at":"2026-05-10T13:05:24.471866Z","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":"2304.02015","last_updated":"2023-03-16T09:28:15Z","snapshot_observed_at":"2026-08-04T17:38:55.806742Z","submitted_at":"2023-03-16T09:28:15Z","title":"How well do Large Language Models perform in Arithmetic tasks?","version":1},"cited_work":{"arxiv_id":"2304.02015","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.02015","snapshot_observed_at":"2026-06-28T23:52:49.758119Z","title":"How well do large language models perform in arithmetic tasks?","venue":null,"work_id":"0d166353-6da0-4ac8-aaa1-61ddb1ca358e","year":2023},"citing_paper":{"arxiv_id":"2604.18203","last_updated":"2026-04-20T12:52:07Z","snapshot_observed_at":"2026-07-06T23:05:08.728446Z","submitted_at":"2026-04-20T12:52:07Z","title":"Multiplication in Multimodal LLMs: Computation with Text, Image, and Audio Inputs","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-05-10T04:31:01.954955Z"},"links":{"cited_paper":"/paper/2304.02015","citing_paper":"/paper/2604.18203"},"observation_digest":"sha256:11e4d4d8592bcffa6724099d4b8d7fd833dcb66b8cb137d745c231502beaaaef","observation_id":"39899214-f2b2-42cb-9880-8350760bd784","resolution":{"observed_at":"2026-05-11T11:51:04.159424Z","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":"2304.02015","last_updated":"2023-03-16T09:28:15Z","snapshot_observed_at":"2026-08-04T17:38:55.806742Z","submitted_at":"2023-03-16T09:28:15Z","title":"How well do Large Language Models perform in Arithmetic tasks?","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.02015","snapshot_observed_at":"2026-07-12T16:29:56.962393Z","title":"URL: https://openreview.net/forum?id=TPtXLihkny","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2605.19723","last_updated":"2026-07-08T07:17:25Z","snapshot_observed_at":"2026-08-05T22:38:33.840848Z","submitted_at":"2026-05-19T11:56:03Z","title":"Mathematical Reasoning in Large Language Models: Benchmarks, Architectures, Evaluation, and Open Challenges","version":3},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-07-12T16:29:56.962393Z"},"links":{"cited_paper":"/paper/2304.02015","citing_paper":"/paper/2605.19723"},"observation_digest":"sha256:b7b34f41b35b99aa2421e5b286b335dce7ee7a67999bddd0f003a15c88048dc1","observation_id":"1fbcbf65-1b53-4548-a914-d6a85838ceb6","resolution":{"observed_at":"2026-07-12T16:29:56.962393Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.02015","last_updated":"2023-03-16T09:28:15Z","snapshot_observed_at":"2026-08-04T17:38:55.806742Z","submitted_at":"2023-03-16T09:28:15Z","title":"How well do Large Language Models perform in Arithmetic tasks?","version":1},"cited_work":{"arxiv_id":"2304.02015","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.02015","snapshot_observed_at":"2026-06-28T23:52:49.758119Z","title":"How well do large language models perform in arithmetic tasks?","venue":null,"work_id":"0d166353-6da0-4ac8-aaa1-61ddb1ca358e","year":2023},"citing_paper":{"arxiv_id":"2605.20369","last_updated":"2026-05-19T18:18:59Z","snapshot_observed_at":"2026-07-06T23:30:58.549353Z","submitted_at":"2026-05-19T18:18:59Z","title":"DEL: Digit Entropy Loss for Numerical Learning of Large Language Models","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-21T07:35:22.992256Z"},"links":{"cited_paper":"/paper/2304.02015","citing_paper":"/paper/2605.20369"},"observation_digest":"sha256:bf7658bc17384c9d712ec24a87cac4a27e680927cb5e4c1fd0de2eddf6e81223","observation_id":"3bbdb18a-e4e0-478c-9f07-38ec186d1c2b","resolution":{"observed_at":"2026-05-21T07:39:49.489389Z","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":"2304.02015","last_updated":"2023-03-16T09:28:15Z","snapshot_observed_at":"2026-08-04T17:38:55.806742Z","submitted_at":"2023-03-16T09:28:15Z","title":"How well do Large Language Models perform in Arithmetic tasks?","version":1},"cited_work":{"arxiv_id":"2304.02015","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2304.02015","snapshot_observed_at":"2026-06-28T23:52:49.758119Z","title":"How well do large language models perform in arithmetic tasks?","venue":null,"work_id":"0d166353-6da0-4ac8-aaa1-61ddb1ca358e","year":2023},"citing_paper":{"arxiv_id":"2606.03645","last_updated":"2026-05-29T10:55:50Z","snapshot_observed_at":"2026-07-06T23:43:50.943530Z","submitted_at":"2026-05-29T10:55:50Z","title":"The Shape of Addition: Geometric Structures of Arithmetic in Large Language Models","version":1},"reference_index":41,"source":"arxiv_source","source_observed_at":"2026-06-28T23:45:16.789926Z"},"links":{"cited_paper":"/paper/2304.02015","citing_paper":"/paper/2606.03645"},"observation_digest":"sha256:8051bc7264b06c8b78eab0f72944bda68c8e2dcb1171e831100361d08eecf65c","observation_id":"1031672a-1945-4256-8bc2-67981ce73f84","resolution":{"observed_at":"2026-06-28T23:52:49.759382Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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"}}],"links":{"evidence":"/evidence","html":"/paper/2304.02015/citation-record","integrity":"/paper/2304.02015/integrity","json":"/paper/2304.02015/citation-record.json","paper":"/paper/2304.02015"},"outbound":[],"paper":{"arxiv_id":"2304.02015","last_updated":"2023-03-16T09:28:15Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-04T17:38:55.806742Z","submitted_at":"2023-03-16T09:28:15Z","title":"How well do Large Language Models perform in Arithmetic tasks?"},"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 11 inbound Pith citation observations for arXiv:2304.02015."}