Paper Citation Record · LEDGER

MathPrompter: Mathematical Reasoning using Large Language Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2303.05398.

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

pith.paper-citation-record.v1
2303.05398 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:50:12.324974Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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External citation measurements

16
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d4e8f48a-569d-49ad-ad50-9ae9b60f9a9d · inbound

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society cites this paper.

CAMEL: Communicative Agents for "Mind" Exploration of Large Language Model Society MathPrompter: Mathematical Reasoning using Large Language Models

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:40:53.878517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bfca81c2-4609-4294-a141-0aedf0e43ccb · inbound

Agent AI: Surveying the Horizons of Multimodal Interaction cites this paper.

Agent AI: Surveying the Horizons of Multimodal Interaction MathPrompter: Mathematical Reasoning using Large Language Models

Reference 228

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T14:25:59.708896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9e199677-1e39-4492-b84e-84962e13fbaf · inbound

Efficient Causal Graph Discovery Using Large Language Models cites this paper.

Efficient Causal Graph Discovery Using Large Language Models MathPrompter: Mathematical Reasoning using Large Language Models

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T04:25:28.576059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dbb7d55e-dfbd-489d-8d1d-135f56d5402a · inbound

CodeMind: Evaluating Large Language Models for Code Reasoning cites this paper.

CodeMind: Evaluating Large Language Models for Code Reasoning MathPrompter: Mathematical Reasoning using Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:55:59.730684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 96ef60d7-23ab-4c5a-bc0c-e3d7471451ca · inbound

LLMs can be easily Confused by Instructional Distractions cites this paper.

LLMs can be easily Confused by Instructional Distractions MathPrompter: Mathematical Reasoning using Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T10:50:12.324974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0068c0bf-0aa0-4ea4-b5dd-c173fbdb980a · inbound

Active Task Disambiguation with LLMs cites this paper.

Active Task Disambiguation with LLMs MathPrompter: Mathematical Reasoning using Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-08T22:38:19.894518Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92f60199-3cc9-4cba-bd6d-e95807f96e7d · inbound

ZeroSearch: Incentivize the Search Capability of LLMs without Searching cites this paper.

ZeroSearch: Incentivize the Search Capability of LLMs without Searching MathPrompter: Mathematical Reasoning using Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-17T17:44:13.457288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ecbde63c-b3e4-46bb-87ea-b473e8a1299c · inbound

ZeroSearch: Incentivize the Search Capability of LLMs without Searching cites this paper.

ZeroSearch: Incentivize the Search Capability of LLMs without Searching MathPrompter: Mathematical Reasoning using Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-22T16:06:45.894985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4a111b37-51f5-41c5-8693-1d7eec2198d8 · inbound

VLM-R$^3$: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought cites this paper.

VLM-R$^3$: Region Recognition, Reasoning, and Refinement for Enhanced Multimodal Chain-of-Thought MathPrompter: Mathematical Reasoning using Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:10:08.588351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0bfeeb7-bbd4-4a89-a6c5-28b949708792 · inbound

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? cites this paper.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? MathPrompter: Mathematical Reasoning using Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:11.303922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9da6d6b-e5f2-493f-abff-f5ae34c2f87d · inbound

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction cites this paper.

ReGA: Model-Based Safeguard for LLMs via Representation-Guided Abstraction MathPrompter: Mathematical Reasoning using Large Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:37:16.017673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9ec5b8ff-bdb8-4a23-b3fe-d7cc9259516f · inbound

More or Less Wrong: A Benchmark for Directional Bias in LLM Comparative Reasoning cites this paper.

More or Less Wrong: A Benchmark for Directional Bias in LLM Comparative Reasoning MathPrompter: Mathematical Reasoning using Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T10:59:04.705154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aae6248f-6c2e-4532-87d2-64b77b41c189 · inbound

Structured Pruning for Diverse Best-of-N Reasoning Optimization cites this paper.

Structured Pruning for Diverse Best-of-N Reasoning Optimization MathPrompter: Mathematical Reasoning using Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:23.586385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea991fb9-6da8-45a8-9831-72fc6250e744 · inbound

Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs cites this paper.

Direct Behavior Optimization: Unlocking the Potential of Lightweight LLMs MathPrompter: Mathematical Reasoning using Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:33.505707Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37a47894-4970-4e0a-8b98-74c3d3ee2f54 · inbound

Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions cites this paper.

Evaluating and Improving Robustness in Large Language Models: A Survey and Future Directions MathPrompter: Mathematical Reasoning using Large Language Models

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:30.983527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e363b9a7-d056-4a05-b06d-1aed85135f76 · inbound

A Large Language Model-Empowered Agent for Reliable and Robust Structural Analysis cites this paper.

A Large Language Model-Empowered Agent for Reliable and Robust Structural Analysis MathPrompter: Mathematical Reasoning using Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T22:21:10.269483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7391140-c5ec-4f8f-88a8-320cd6003d9b · inbound

We Need Knowledge Distillation for Solving Math Word Problems cites this paper.

We Need Knowledge Distillation for Solving Math Word Problems MathPrompter: Mathematical Reasoning using Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:20:48.863797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea2760e7-03f4-4799-ad2a-1a615e588236 · inbound

A Technical Survey of Reinforcement Learning Techniques for Large Language Models cites this paper.

A Technical Survey of Reinforcement Learning Techniques for Large Language Models MathPrompter: Mathematical Reasoning using Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T19:59:29.011036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a812aa39-4782-4f0d-b5cf-a7fbfdec4854 · inbound

Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning cites this paper.

Enhancing Chain-of-Thought Reasoning with Critical Representation Fine-tuning MathPrompter: Mathematical Reasoning using Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T17:52:36.093671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84645ec0-5c6d-40cd-9016-abb40f328580 · inbound

SVAgent: AI Agent for Hardware Security Verification Assertion cites this paper.

SVAgent: AI Agent for Hardware Security Verification Assertion MathPrompter: Mathematical Reasoning using Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T15:22:32.883522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee0752bb-ed3a-4021-a6b2-e540ccc3acbf · inbound

Can Structured Templates Facilitate LLMs in Tackling Harder Tasks? : An Exploration of Scaling Laws by Difficulty cites this paper.

Can Structured Templates Facilitate LLMs in Tackling Harder Tasks? : An Exploration of Scaling Laws by Difficulty MathPrompter: Mathematical Reasoning using Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T16:02:03.315402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30564805-3eb1-4c07-9a99-5995ef44e848 · inbound

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs cites this paper.

From Implicit Exploration to Structured Reasoning: Leveraging Guideline and Refinement for LLMs MathPrompter: Mathematical Reasoning using Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T23:56:34.886866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9f5d7f6f-e3a8-4454-a67d-a12e4f75834b · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences MathPrompter: Mathematical Reasoning using Large Language Models

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-05-18T16:41:38.000449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 27aae890-d0eb-48a8-8555-c769c0ce2074 · inbound

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences cites this paper.

The Prompt Engineering Report Distilled: Quick Start Guide for Life Sciences MathPrompter: Mathematical Reasoning using Large Language Models

Reference 65

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T16:41:37.666821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 99eff83d-25d0-4ec0-8426-5c114f2e8f28 · inbound

Learning How to Use Tools, Not Just When: Pattern-Aware Tool-Integrated Reasoning cites this paper.

Learning How to Use Tools, Not Just When: Pattern-Aware Tool-Integrated Reasoning MathPrompter: Mathematical Reasoning using Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T14:49:51.572073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eaa3ed97-99ee-416e-9116-57ac0385d855 · inbound

Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models cites this paper.

Assessing Coherency and Consistency of Code Execution Reasoning by Large Language Models MathPrompter: Mathematical Reasoning using Large Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-18T06:00:57.292158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 23ec18a5-b313-4e6f-8ad4-5148f7ca3553 · inbound

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing cites this paper.

RACC: Representation-Aware Coverage Criteria for LLM Safety Testing MathPrompter: Mathematical Reasoning using Large Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:17:36.615429Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e6c23e24-4aae-46b7-adc5-256afc7e1e13 · inbound

Context Learning for Multi-Agent Discussion cites this paper.

Context Learning for Multi-Agent Discussion MathPrompter: Mathematical Reasoning using Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T08:10:45.497307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation be9d72b0-5d09-4624-a639-712d70c7d671 · inbound

A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs cites this paper.

A Replicate-and-Quantize Strategy for Plug-and-Play Load Balancing of Sparse Mixture-of-Experts LLMs MathPrompter: Mathematical Reasoning using Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-02T21:32:45.586588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58bc0365-aa49-494a-a7c3-ff5f440dc0cd · inbound

Improving Medical VQA through Trajectory-Aware Process Supervision cites this paper.

Improving Medical VQA through Trajectory-Aware Process Supervision MathPrompter: Mathematical Reasoning using Large Language Models

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:06:06.713071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c09bb2e8-52d6-4df5-af70-9606b37cabd1 · inbound

Agentic Retrieval-Augmented Generation for Financial Document Question Answering cites this paper.

Agentic Retrieval-Augmented Generation for Financial Document Question Answering MathPrompter: Mathematical Reasoning using Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:51:08.321564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53a1eed5-dda2-4945-aee3-4ba683be272f · inbound

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model cites this paper.

SOM: Structured Opponent Modeling for LLM-based Agents via Structural Causal Model MathPrompter: Mathematical Reasoning using Large Language Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:30:55.975142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 593919cb-2f22-4a20-87e6-1cf1d017f71c · inbound

Adaptive Order Policies for Masked Diffusion cites this paper.

Adaptive Order Policies for Masked Diffusion MathPrompter: Mathematical Reasoning using Large Language Models

Reference 90

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:42:49.871113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a0da260-5d7c-42e6-80ad-974eadc0fe48 · 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 MathPrompter: Mathematical Reasoning using Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-02T05:48:54.586744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1686789-7bd5-4f05-b1ea-50781d2d86ee · inbound

Explaining and Tuning Transformer-based LLMs in Arithmetic Tasks with Human Strategies cites this paper.

Explaining and Tuning Transformer-based LLMs in Arithmetic Tasks with Human Strategies MathPrompter: Mathematical Reasoning using Large Language Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T18:53:12.152009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.