{"as_of":"2026-08-17T16:54:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8bdcea47bf6abf9265f93925b37ee57e70a070f7941b23cbc7123ed90eb0ad70","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":"2026-08-17T06:30:58.91139+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":"2026-08-12T05:03:20.768320Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"pith","source_observed_at":"2026-08-10T05:30:23.456663Z","state":"measured"}],"external_citation_measurements":[{"count":5,"observed_at":"2026-08-10T05:30:23.456663Z","source":"pith"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.13099","last_updated":"2024-04-19T08:45:42Z","snapshot_observed_at":"2026-08-17T11:10:34.521621Z","submitted_at":"2024-04-19T08:45:42Z","title":"Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.13099","snapshot_observed_at":"2026-08-12T05:03:20.768320Z","title":"R.; and Shah, R","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.00821","last_updated":"2024-12-01T14:15:55Z","snapshot_observed_at":"2026-08-16T14:48:38.317646Z","submitted_at":"2024-12-01T14:15:55Z","title":"Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-12T05:03:20.768320Z"},"links":{"cited_paper":"/paper/2404.13099","citing_paper":"/paper/2412.00821"},"observation_digest":"sha256:d29e5dbb546013af39cd0d3552db9080e48bf28caae4d56525615f4f5d2c2d4c","observation_id":"40a0943f-28a6-40e8-b43e-26b1e21f74fc","resolution":{"observed_at":"2026-08-12T05:03:20.768320Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.13099","last_updated":"2024-04-19T08:45:42Z","snapshot_observed_at":"2026-08-17T11:10:34.521621Z","submitted_at":"2024-04-19T08:45:42Z","title":"Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.13099","snapshot_observed_at":"2026-08-12T04:29:04.731476Z","title":"Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.01353","last_updated":"2024-12-19T09:10:18Z","snapshot_observed_at":"2026-08-16T20:13:04.931684Z","submitted_at":"2024-12-02T10:31:12Z","title":"Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-12T04:29:04.731476Z"},"links":{"cited_paper":"/paper/2404.13099","citing_paper":"/paper/2412.01353"},"observation_digest":"sha256:a5db4937df55622e7555242376b2c0a13741559d84daae75be18020983597518","observation_id":"2583bc80-c7f5-4352-9ba3-915f6bd2a61e","resolution":{"observed_at":"2026-08-12T04:29:04.731476Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.13099","last_updated":"2024-04-19T08:45:42Z","snapshot_observed_at":"2026-08-17T11:10:34.521621Z","submitted_at":"2024-04-19T08:45:42Z","title":"Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.13099","snapshot_observed_at":"2026-08-11T21:05:20.528466Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2412.05023","last_updated":"2025-06-11T14:47:23Z","snapshot_observed_at":"2026-08-17T01:11:58.709073Z","submitted_at":"2024-12-06T13:20:57Z","title":"Steps are all you need: Rethinking STEM Education with Prompt Engineering","version":3},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T21:05:20.528466Z"},"links":{"cited_paper":"/paper/2404.13099","citing_paper":"/paper/2412.05023"},"observation_digest":"sha256:05ae2feab20446250537642990e2d0a767166901a93c6c06a16ca9289d44e810","observation_id":"aff11a3d-451d-4d35-8052-388b16277c13","resolution":{"observed_at":"2026-08-11T21:05:20.528466Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.13099","last_updated":"2024-04-19T08:45:42Z","snapshot_observed_at":"2026-08-17T11:10:34.521621Z","submitted_at":"2024-04-19T08:45:42Z","title":"Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.13099","snapshot_observed_at":"2026-08-11T20:46:15.311062Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.05453","last_updated":"2025-06-11T14:43:44Z","snapshot_observed_at":"2026-08-16T17:29:22.903793Z","submitted_at":"2024-12-06T22:25:23Z","title":"Knowledge Graphs are all you need: Leveraging KGs in Physics Question Answering","version":3},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-11T20:46:15.311062Z"},"links":{"cited_paper":"/paper/2404.13099","citing_paper":"/paper/2412.05453"},"observation_digest":"sha256:38ce2445b67c5bdb394032f96cf9444b9417b5d374c1057c4fbead71a973b248","observation_id":"901f24ca-a6b1-4319-8fc8-78245e2c5027","resolution":{"observed_at":"2026-08-11T20:46:15.311062Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.13099","last_updated":"2024-04-19T08:45:42Z","snapshot_observed_at":"2026-08-17T11:10:34.521621Z","submitted_at":"2024-04-19T08:45:42Z","title":"Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks","version":1},"cited_work":{"arxiv_id":"2404.13099","doi":"10.48550/arxiv.2404.13099","metadata_source":"pith","pith_arxiv_id":"2404.13099","snapshot_observed_at":"2026-08-10T05:30:23.456663Z","title":"Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks","venue":"cs.CL","work_id":"11c45e87-e585-42f6-87ad-56b43364c8a6","year":2024},"citing_paper":{"arxiv_id":"2505.15276","last_updated":"2025-05-21T08:55:35Z","snapshot_observed_at":"2026-08-16T04:08:46.404302Z","submitted_at":"2025-05-21T08:55:35Z","title":"When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T15:25:47.084141Z"},"links":{"cited_paper":"/paper/2404.13099","citing_paper":"/paper/2505.15276"},"observation_digest":"sha256:57ce36c5317ea54d556117795ce59670b7f5bb035dd2105f8292a7116ffdc4f8","observation_id":"5b9c94d2-0d15-47b6-8e69-c531f8a9a3e7","resolution":{"observed_at":"2026-08-07T15:25:49.048617Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2404.13099","last_updated":"2024-04-19T08:45:42Z","snapshot_observed_at":"2026-08-17T11:10:34.521621Z","submitted_at":"2024-04-19T08:45:42Z","title":"Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.13099","snapshot_observed_at":"2026-08-02T05:48:55.261125Z","title":"Mathify: Evaluating large language models on mathematical problem solving tasks","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.13248","last_updated":"2026-07-14T20:23:27Z","snapshot_observed_at":"2026-08-16T00:13:35.494542Z","submitted_at":"2026-07-14T20:23:27Z","title":"GSM-Plus-BN: A Perturbation-Based Benchmark for Bangla Mathematical Reasoning in Large Language Models","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-02T05:48:55.261125Z"},"links":{"cited_paper":"/paper/2404.13099","citing_paper":"/paper/2607.13248"},"observation_digest":"sha256:1fd0677169c4453eaf227dc84120d0b97e10f672086a893971d9d2b6b79fc435","observation_id":"acdf606c-3787-41c2-819a-35d0beddf705","resolution":{"observed_at":"2026-08-02T05:48:55.261125Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2404.13099/citation-record","integrity":"/paper/2404.13099/integrity","json":"/paper/2404.13099/citation-record.json","paper":"/paper/2404.13099"},"outbound":[],"paper":{"arxiv_id":"2404.13099","last_updated":"2024-04-19T08:45:42Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-17T11:10:34.521621Z","submitted_at":"2024-04-19T08:45:42Z","title":"Mathify: Evaluating Large Language Models on Mathematical Problem Solving 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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.13099."}