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Paper Citation Record · LEDGER

Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks

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.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2404.13099 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:03:20.768320Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

5
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 40a0943f-28a6-40e8-b43e-26b1e21f74fc · inbound

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents cites this paper.

Improving Physics Reasoning in Large Language Models Using Mixture of Refinement Agents Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T05:03:20.768320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:03:20.768320Z digest=sha256:d29e5dbb546013af39cd0d3552db9080e48bf28caae4d56525615f4f5d2c2d4c

Observation 2583bc80-c7f5-4352-9ba3-915f6bd2a61e · inbound

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models cites this paper.

Su-RoBERTa: A Semi-supervised Approach to Predicting Suicide Risk through Social Media using Base Language Models Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-12T04:29:04.731476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:29:04.731476Z digest=sha256:a5db4937df55622e7555242376b2c0a13741559d84daae75be18020983597518

Observation aff11a3d-451d-4d35-8052-388b16277c13 · inbound

Steps are all you need: Rethinking STEM Education with Prompt Engineering cites this paper.

Steps are all you need: Rethinking STEM Education with Prompt Engineering Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T21:05:20.528466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:05:20.528466Z digest=sha256:05ae2feab20446250537642990e2d0a767166901a93c6c06a16ca9289d44e810

Observation 901f24ca-a6b1-4319-8fc8-78245e2c5027 · inbound

Knowledge Graphs are all you need: Leveraging KGs in Physics Question Answering cites this paper.

Knowledge Graphs are all you need: Leveraging KGs in Physics Question Answering Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T20:46:15.311062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:46:15.311062Z digest=sha256:38ce2445b67c5bdb394032f96cf9444b9417b5d374c1057c4fbead71a973b248

Observation 5b9c94d2-0d15-47b6-8e69-c531f8a9a3e7 · inbound

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning cites this paper.

When Can Large Reasoning Models Save Thinking? Mechanistic Analysis of Behavioral Divergence in Reasoning Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-07T15:25:49.048617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-07T15:25:47.084141Z digest=sha256:57ce36c5317ea54d556117795ce59670b7f5bb035dd2105f8292a7116ffdc4f8

Observation acdf606c-3787-41c2-819a-35d0beddf705 · inbound

GSM-Plus-BN: A Perturbation-Based Benchmark for Bangla Mathematical Reasoning in Large Language Models cites this paper.

GSM-Plus-BN: A Perturbation-Based Benchmark for Bangla Mathematical Reasoning in Large Language Models Mathify: Evaluating Large Language Models on Mathematical Problem Solving Tasks

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-02T05:48:55.261125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:48:55.261125Z digest=sha256:1fd0677169c4453eaf227dc84120d0b97e10f672086a893971d9d2b6b79fc435