Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2402.19255.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T15:26:07.602912Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T22:39:01.102254Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 273b4196-04ac-4f45-b529-a955dc87d4e8 · inbound
MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations cites this paper.
MATH-Perturb: Benchmarking LLMs' Math Reasoning Abilities against Hard Perturbations GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T15:26:07.602912Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac0af52a-9b08-4286-9cec-ebf9de1c221a · inbound
Why Do Multi-Agent LLM Systems Fail? cites this paper.
Why Do Multi-Agent LLM Systems Fail? GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 83
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T05:42:58.742230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation d82f4801-5635-4d86-9de5-ec53712e3d72 · inbound
LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models cites this paper.
LFTF: Locating First and Then Fine-Tuning for Mitigating Gender Bias in Large Language Models GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:22:15.777907Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cf3710cd-db74-44e2-8166-541cffa73122 · inbound
Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation cites this paper.
Can LLMs Reason Abstractly Over Math Word Problems Without CoT? Disentangling Abstract Formulation From Arithmetic Computation GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:43:58.814245Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ee6d899-f5c3-4d6b-bd9b-fb6ed2167fa8 · inbound
CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective cites this paper.
CogMath: Assessing LLMs' Authentic Mathematical Ability from a Human Cognitive Perspective GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 2003
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:46:38.902389Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f1635b6-be41-4bcb-aa4b-a089978da199 · inbound
Enhancing Reasoning Capabilities in SLMs with Reward Guided Dataset Distillation cites this paper.
Enhancing Reasoning Capabilities in SLMs with Reward Guided Dataset Distillation GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:45:01.803122Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 473895c4-83b0-4638-8419-11988695da1a · inbound
Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models cites this paper.
Do LLMs Overthink Basic Math Reasoning? Benchmarking the Accuracy-Efficiency Tradeoff in Language Models GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T06:27:07.343286Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation a3c25241-11df-4826-b648-320d31f26066 · inbound
Beyond Isolated Capabilities: Bridging Long CoT Reasoning and Long-Context Understanding cites this paper.
Beyond Isolated Capabilities: Bridging Long CoT Reasoning and Long-Context Understanding GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:50:51.172050Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1e3dcf4-64f9-4e84-bc91-83c1113b8d8d · inbound
CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models in Mathematical Reasoning cites this paper.
CoLD: Counterfactually-Guided Length Debiasing for Process Reward Models in Mathematical Reasoning GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 8
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T23:25:45.340074Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ec94d46f-565c-4263-ad3a-7b9b41f0a9cb · inbound
TRPrompt: Bootstrapping Query-Aware Prompt Optimization from Textual Rewards cites this paper.
TRPrompt: Bootstrapping Query-Aware Prompt Optimization from Textual Rewards GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:35:46.556756Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ee31aa89-88a6-40bb-832a-e7dc0b7595cc · inbound
League of LLMs: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models cites this paper.
League of LLMs: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T03:22:01.279904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation c26b4548-2955-4d1d-8e15-10a847931c94 · inbound
RTTC: Reward-Guided Collaborative Test-Time Compute cites this paper.
RTTC: Reward-Guided Collaborative Test-Time Compute GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T23:10:44.161130Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bdb0e41b-fc1e-4ce9-8803-6e85e63f5455 · inbound
FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline cites this paper.
FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T17:20:56.968306Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0a41c17-c5c8-4748-bccb-6ece7fdedc66 · inbound
Model soups need only one ingredient cites this paper.
Model soups need only one ingredient GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T02:51:55.289859Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4a1f310b-2525-410b-8401-16dd2bcd567a · inbound
Remask, Don't Replace: Token-to-Mask Refinement in Diffusion Large Language Models cites this paper.
Remask, Don't Replace: Token-to-Mask Refinement in Diffusion Large Language Models GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T11:00:04.688097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 5d5d65c7-5b94-41c1-ba2f-150ec4a2f0da · inbound
Mellum2 Technical Report cites this paper.
Mellum2 Technical Report GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 40
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-28T23:02:46.503173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 047da0e2-690b-4182-a75e-6af01102d05c · inbound
Testing LLM Arithmetic Reasoning Generalization with Automatic Numeric-Remapping Attacks cites this paper.
Testing LLM Arithmetic Reasoning Generalization with Automatic Numeric-Remapping Attacks GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T04:06:35.204133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation ff603d16-9f8c-4b7c-9906-6b7827ec79bc · inbound
Search for Truth from Reasoning: A Dynamic Representation Editing Framework for Steering LLM Trajectories cites this paper.
Search for Truth from Reasoning: A Dynamic Representation Editing Framework for Steering LLM Trajectories GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T16:35:50.340135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 1f60ae21-2436-4792-8642-6fd1f1c402a0 · inbound
Search for Truth from Reasoning: A Dynamic Representation Editing Framework for Steering LLM Trajectories cites this paper.
Search for Truth from Reasoning: A Dynamic Representation Editing Framework for Steering LLM Trajectories GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T22:39:01.103776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4868ac3e-7355-4b84-8942-39d14afd2863 · inbound
Don't Commit Alone: Joint Token Commitment in Diffusion Large Language Models cites this paper.
Don't Commit Alone: Joint Token Commitment in Diffusion Large Language Models GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-07-11T18:56:31.772618Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7dee0196-0d50-4c69-8992-8c15a07ff5f6 · 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 GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T05:48:50.502614Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd5024cc-f644-4e05-92c0-1e7f1bbd6a80 · inbound
Implicit Reasoning Steering via Concept Chaining cites this paper.
Implicit Reasoning Steering via Concept Chaining GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T02:44:22.594941Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a5b350ca-398d-4f5d-9ab4-02a053f0ee48 · inbound
Implicit Reasoning Steering via Concept Chaining cites this paper.
Implicit Reasoning Steering via Concept Chaining GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 138
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T02:44:33.784184Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6fdfc55-92f6-4009-adf5-75351a2daed4 · inbound
Are Arithmetic Heuristic Neurons Form-Invariant? A Mechanistic Analysis of Symbols, Text, and Code in LLMs cites this paper.
Are Arithmetic Heuristic Neurons Form-Invariant? A Mechanistic Analysis of Symbols, Text, and Code in LLMs GSM-Plus: A Comprehensive Benchmark for Evaluating the Robustness of LLMs as Mathematical Problem Solvers
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T20:19:22.327652Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.