Paper Citation Record · LEDGER

Solving Quantitative Reasoning Problems with Language Models

As of 12 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 91 inbound Pith citation observations for arXiv:2206.14858.

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

pith.paper-citation-record.v1
2206.14858 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T22:43:59.365155Z

measured 104 of 104 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 91 of 91 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:57:51.012718Z

measured 1 of 1 external citation measurements

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

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

Reference resolution

13 of 13 outbound references displayed

verified exact0
verified fuzzy11
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

281
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 928ddd2b-7c2b-461a-8353-f758c09d37e5 · outbound

This paper cites math/latex.

Solving Quantitative Reasoning Problems with Language Models math/latex

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T22:43:59.392342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fad014b5-e848-4682-815e-2e64f0e3bea7 · outbound

This paper cites application/x-tex.

Solving Quantitative Reasoning Problems with Language Models application/x-tex

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T22:43:59.397525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6c20835f-4a4d-413e-98d1-b75d648de335 · outbound

This paper cites Model output (62B):The sum of the geometric series is 0.12 1−0.12 = 1/2 1−1/2 = 1/2 1/2 = 1.

Solving Quantitative Reasoning Problems with Language Models Model output (62B):The sum of the geometric series is 0.12 1−0.12 = 1/2 1−1/2 = 1/2 1/2 = 1

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T22:43:59.402785Z

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Observation a872de3a-8d44-446c-a252-b352d2486bf5 · outbound

This paper cites Misunderstanding of a problem statement.

Solving Quantitative Reasoning Problems with Language Models Misunderstanding of a problem statement

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T22:43:59.406879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ba2bc752-2d77-4d65-b185-3648f64c3acb · outbound

This paper cites Model output (8B):We have that the lines are parallel if their slopes are the same.

Solving Quantitative Reasoning Problems with Language Models Model output (8B):We have that the lines are parallel if their slopes are the same

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T22:43:59.413824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2c83853d-dc2e-4bd1-ad9e-1179761cd730 · outbound

This paper cites an unresolved cited work.

Solving Quantitative Reasoning Problems with Language Models Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-05-12T22:43:59.418004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8b1af424-066a-4310-827d-93684a056d6f · outbound

This paper cites Question: Find the product10· 4 3· 6 4· 8 5· 10 6 · 12 7 · 14 8 · 16 9 · 18 10.

Solving Quantitative Reasoning Problems with Language Models Question: Find the product10· 4 3· 6 4· 8 5· 10 6 · 12 7 · 14 8 · 16 9 · 18 10

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T22:43:59.422030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0da83e5d-0989-4cc0-9a30-3f90f0645f93 · outbound

This paper cites Model output: The ﬁrst perfect cube in the list is253 = 15625.

Solving Quantitative Reasoning Problems with Language Models Model output: The ﬁrst perfect cube in the list is253 = 15625

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T22:43:59.432160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4b9b0b1a-bfaa-47d5-a7d9-553a21637979 · outbound

This paper cites an unresolved cited work.

Solving Quantitative Reasoning Problems with Language Models Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-05-12T22:43:59.436902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0710a3e4-29d8-4d3d-b5f8-0ef94cbb2929 · outbound

This paper cites Final solution: The ﬁnal answer is2 3.

Solving Quantitative Reasoning Problems with Language Models Final solution: The ﬁnal answer is2 3

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T22:43:59.441105Z

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Observation 81b27b7e-377d-4a41-a8e3-a41785c11715 · outbound

This paper cites Final solution: The ﬁnal answer is30 √ 3.

Solving Quantitative Reasoning Problems with Language Models Final solution: The ﬁnal answer is30 √ 3

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T22:43:59.445662Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a57a4c8b-76c1-46c4-86f5-34d025ff4f4c · outbound

This paper cites Model output - 540B:We will haven×m = 24 if and only ifn = 3 and m = 8, or ifn = 4 and m = 6, or ifn = 6 and m = 4, or ifn = 8 and m = 3.

Solving Quantitative Reasoning Problems with Language Models Model output - 540B:We will haven×m = 24 if and only ifn = 3 and m = 8, or ifn = 4 and m = 6, or ifn = 6 and m = 4, or ifn = 8 and m = 3

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T22:43:59.450626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6edbfe57-9c70-4a1a-b051-21e06adf8866 · outbound

This paper cites Large model [correct]:We will haven×m = 24 if and only ifn = 3 and m = 8, or ifn = 4 and m = 6, or ifn = 6 and m = 4, or ifn = 8 and m = 3.

Solving Quantitative Reasoning Problems with Language Models Large model [correct]:We will haven×m = 24 if and only ifn = 3 and m = 8, or ifn = 4 and m = 6, or ifn = 6 and m = 4, or ifn = 8 and m = 3

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-12T22:43:59.457462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

Observation 391f3aa2-a8aa-4d19-ab72-25179572295a · inbound

PaLM: Scaling Language Modeling with Pathways cites this paper.

PaLM: Scaling Language Modeling with Pathways Solving Quantitative Reasoning Problems with Language Models

Reference 86

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e02e2515-f470-4dd3-ad04-0c73156464ea · inbound

Code as Policies: Language Model Programs for Embodied Control cites this paper.

Code as Policies: Language Model Programs for Embodied Control Solving Quantitative Reasoning Problems with Language Models

Reference 44

Resolution: verified exact; local_arxiv, observed 2026-05-15T00:38:02.847224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c9d67503-cf1a-4df1-95c4-462192391825 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science Solving Quantitative Reasoning Problems with Language Models

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:53:21.992697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation afe5d696-79ca-4ecb-928d-119ca421fe64 · inbound

Galactica: A Large Language Model for Science cites this paper.

Galactica: A Large Language Model for Science Solving Quantitative Reasoning Problems with Language Models

Reference 200

Resolution: verified exact; local_arxiv, observed 2026-05-13T05:53:22.208216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5442122b-2a04-4182-bc58-bfb4b0f97498 · inbound

PAL: Program-aided Language Models cites this paper.

PAL: Program-aided Language Models Solving Quantitative Reasoning Problems with Language Models

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-15T05:02:50.238563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a31305ee-9b1f-4320-8dd9-4ada845b17b6 · inbound

Solving math word problems with process- and outcome-based feedback cites this paper.

Solving math word problems with process- and outcome-based feedback Solving Quantitative Reasoning Problems with Language Models

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-05-24T11:14:23.239893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation d2c7414a-13ce-438c-b0be-6a901b70ffa2 · inbound

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning cites this paper.

The Flan Collection: Designing Data and Methods for Effective Instruction Tuning Solving Quantitative Reasoning Problems with Language Models

Reference 31

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T09:14:16.398437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 01278255-d868-4db2-b19b-803b333fe507 · inbound

PaLM-E: An Embodied Multimodal Language Model cites this paper.

PaLM-E: An Embodied Multimodal Language Model Solving Quantitative Reasoning Problems with Language Models

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

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No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 39cd907c-edf6-495c-beed-0265ba6a244c · inbound

BloombergGPT: A Large Language Model for Finance cites this paper.

BloombergGPT: A Large Language Model for Finance Solving Quantitative Reasoning Problems with Language Models

Reference 65

Resolution: verified exact; local_arxiv, observed 2026-05-13T23:19:46.723111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f53324cb-6e7e-4e70-bf53-0a778fab8b12 · inbound

A Survey of Large Language Models cites this paper.

A Survey of Large Language Models Solving Quantitative Reasoning Problems with Language Models

Reference 222

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5112874c-21c1-4624-9757-31f1d33464bd · inbound

Towards Expert-Level Medical Question Answering with Large Language Models cites this paper.

Towards Expert-Level Medical Question Answering with Large Language Models Solving Quantitative Reasoning Problems with Language Models

Reference 19

Resolution: metadata mismatch; local_arxiv, observed 2026-05-24T04:32:33.426530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6e1b2c16-a90a-4dfc-b60c-e6b26514a52a · inbound

PaLM 2 Technical Report cites this paper.

PaLM 2 Technical Report Solving Quantitative Reasoning Problems with Language Models

Reference 245

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0e60ad0f-9e08-45dc-aed1-35e2d1bd970b · inbound

Improving Factuality and Reasoning in Language Models through Multiagent Debate cites this paper.

Improving Factuality and Reasoning in Language Models through Multiagent Debate Solving Quantitative Reasoning Problems with Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 71f3a511-f33c-4342-a78c-a041b17bdbb4 · inbound

Reasoning with Language Model is Planning with World Model cites this paper.

Reasoning with Language Model is Planning with World Model Solving Quantitative Reasoning Problems with Language Models

Reference 115

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T01:49:28.893305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8896b255-4320-4996-ae80-ec58e387b531 · inbound

Let's Verify Step by Step cites this paper.

Let's Verify Step by Step Solving Quantitative Reasoning Problems with Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ccdffaa8-3556-44cd-b9c1-2fc90b6f605d · inbound

Simple synthetic data reduces sycophancy in large language models cites this paper.

Simple synthetic data reduces sycophancy in large language models Solving Quantitative Reasoning Problems with Language Models

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-05-16T14:48:08.596132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3ee246bc-cae0-441f-ae14-6643ce1e4bee · inbound

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling cites this paper.

Large Language Monkeys: Scaling Inference Compute with Repeated Sampling Solving Quantitative Reasoning Problems with Language Models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b936ff09-3887-48b4-9ff5-c3e429fdd334 · inbound

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models cites this paper.

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Solving Quantitative Reasoning Problems with Language Models

Reference 62

Resolution: verified exact; local_arxiv, observed 2026-05-15T09:09:15.015382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation e0cdd669-d539-4bf8-9289-cf64e56cf69d · inbound

Dynamic Skill Adaptation for Large Language Models cites this paper.

Dynamic Skill Adaptation for Large Language Models Solving Quantitative Reasoning Problems with Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-11T00:46:46.153618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78ede9c0-1df4-4652-973a-b0e38de329d3 · inbound

A Survey on Large Language Models with some Insights on their Capabilities and Limitations cites this paper.

A Survey on Large Language Models with some Insights on their Capabilities and Limitations Solving Quantitative Reasoning Problems with Language Models

Reference 187

Resolution: unresolved; no resolver link, observed 2026-08-10T22:17:56.102902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 633e2d24-af07-442e-9683-0127106f4bc0 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Solving Quantitative Reasoning Problems with Language Models

Reference 87

Resolution: metadata mismatch; local_arxiv, observed 2026-05-23T04:32:33.255944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 25f16854-530d-4160-9582-d0604e29c8f3 · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Solving Quantitative Reasoning Problems with Language Models

Reference 93

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6ac1d63d-bc78-46a4-ada3-ec449e181772 · inbound

Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance cites this paper.

Fino1: On the Transferability of Reasoning-Enhanced LLMs and Reinforcement Learning to Finance Solving Quantitative Reasoning Problems with Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T10:25:12.994154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8c04222-da3e-444d-b7b9-697610f088e4 · inbound

Learning to Reason at the Frontier of Learnability cites this paper.

Learning to Reason at the Frontier of Learnability Solving Quantitative Reasoning Problems with Language Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-23T02:42:26.053039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation af5e6269-2f9d-42ae-a11e-dbd98f96949a · inbound

Towards an AI co-scientist cites this paper.

Towards an AI co-scientist Solving Quantitative Reasoning Problems with Language Models

Reference 102

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 128d52c0-5ac5-4988-a925-4f3ec5647cb1 · inbound

PRIMETIME : Limits of LLMs in Temporal Primitives cites this paper.

PRIMETIME : Limits of LLMs in Temporal Primitives Solving Quantitative Reasoning Problems with Language Models

Reference 107

Resolution: verified exact; local_arxiv, observed 2026-05-22T18:36:58.923453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 558a436b-7883-4f23-8d1c-99f72a9d1a48 · inbound

SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation cites this paper.

SCOPE: Compress Mathematical Reasoning Steps for Efficient Automated Process Annotation Solving Quantitative Reasoning Problems with Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T15:39:17.342085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec49cccf-7992-40b4-a64d-5ecc9d347567 · inbound

Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models cites this paper.

Activation Control for Efficiently Eliciting Long Chain-of-thought Ability of Language Models Solving Quantitative Reasoning Problems with Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:46:16.437950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0abd8209-5321-49c0-9ed2-e728d7f31d22 · inbound

RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion cites this paper.

RECIPE-TKG: From Sparse History to Structured Reasoning for LLM-based Temporal Knowledge Graph Completion Solving Quantitative Reasoning Problems with Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:59.385710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7ff258c3-e82b-42e2-a58b-d3e9d85fff9c · inbound

Breakpoint: Scalable evaluation of system-level reasoning in LLM code agents cites this paper.

Breakpoint: Scalable evaluation of system-level reasoning in LLM code agents Solving Quantitative Reasoning Problems with Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T12:17:44.675554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84f36c0b-d4ae-4b19-831f-94efbc16a9f8 · inbound

RewardBench 2: Advancing Reward Model Evaluation cites this paper.

RewardBench 2: Advancing Reward Model Evaluation Solving Quantitative Reasoning Problems with Language Models

Reference 66

Resolution: verified exact; local_arxiv, observed 2026-05-19T11:22:16.703008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c3d58d4a-3f9b-41c4-94ad-867c9c85e6f1 · inbound

Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains cites this paper.

Knowledge or Reasoning? A Close Look at How LLMs Think Across Domains Solving Quantitative Reasoning Problems with Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:33:31.305077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6af3ac2c-237a-4e9b-b519-5de7d147b83d · inbound

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning cites this paper.

Progressive Mastery: Customized Curriculum Learning with Guided Prompting for Mathematical Reasoning Solving Quantitative Reasoning Problems with Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:07.774895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d09a825c-5489-4883-9108-1d19d919c400 · inbound

How Far Are We from Optimal Reasoning Efficiency? cites this paper.

How Far Are We from Optimal Reasoning Efficiency? Solving Quantitative Reasoning Problems with Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:49:36.305178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d380343b-e0fa-4e43-85c3-f8f5eb1ed691 · inbound

A Survey on Large Language Models for Mathematical Reasoning cites this paper.

A Survey on Large Language Models for Mathematical Reasoning Solving Quantitative Reasoning Problems with Language Models

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:47.319519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50b2e901-02a1-4f37-904a-fa46d9a881be · inbound

Can A Gamer Train A Mathematical Reasoning Model? cites this paper.

Can A Gamer Train A Mathematical Reasoning Model? Solving Quantitative Reasoning Problems with Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T05:03:21.738356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation accf01ce-e8e2-4f4e-9c75-2fc42dac7d20 · inbound

Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model cites this paper.

Do Thinking Tokens Help or Trap? Towards More Efficient Large Reasoning Model Solving Quantitative Reasoning Problems with Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:08.187391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a12c555-c014-4f5d-882d-07a006bbcb36 · inbound

CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization cites this paper.

CriticLean: Critic-Guided Reinforcement Learning for Mathematical Formalization Solving Quantitative Reasoning Problems with Language Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:14:16.385011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e71face-cb27-4ca1-baa1-71adfac923c3 · inbound

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey cites this paper.

Towards Concise and Adaptive Thinking in Large Reasoning Models: A Survey Solving Quantitative Reasoning Problems with Language Models

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-06T17:54:16.964248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a21e266-f982-45af-b54a-c35634c4fe36 · inbound

Which LLMs Get the Joke? Probing Non-STEM Reasoning Abilities with HumorBench cites this paper.

Which LLMs Get the Joke? Probing Non-STEM Reasoning Abilities with HumorBench Solving Quantitative Reasoning Problems with Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T12:48:08.040390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83f14dab-ca0d-4b49-8f7d-1a69efff6c58 · inbound

EDGE-GRPO: Entropy-Driven GRPO with Guided Error Correction for Advantage Diversity cites this paper.

EDGE-GRPO: Entropy-Driven GRPO with Guided Error Correction for Advantage Diversity Solving Quantitative Reasoning Problems with Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T12:26:11.155945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc3b578e-4cf2-4520-aef8-505414412de6 · inbound

RIMO: An Easy-to-Evaluate, Hard-to-Solve Olympiad Benchmark for Advanced Mathematical Reasoning cites this paper.

RIMO: An Easy-to-Evaluate, Hard-to-Solve Olympiad Benchmark for Advanced Mathematical Reasoning Solving Quantitative Reasoning Problems with Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T21:54:48.197117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6fa7254-93ae-453e-b732-8cbf73c1e452 · inbound

Rethinking RL Evaluation: Can Benchmarks Truly Reveal Failures of RL Methods? cites this paper.

Rethinking RL Evaluation: Can Benchmarks Truly Reveal Failures of RL Methods? Solving Quantitative Reasoning Problems with Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T10:20:18.458587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35273487-6d54-4493-aa0e-a10989e94339 · inbound

MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation cites this paper.

MENTOR: Reinforcement Learning via Flexible Teacher-Optimized Rewards for Tool-Use Distillation Solving Quantitative Reasoning Problems with Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T08:55:58.655096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30ed0407-feea-4758-b574-f82ca49c3b9a · inbound

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning cites this paper.

GraphMind: Theorem Selection and Conclusion Generation Framework with Dynamic GNN for LLM Reasoning Solving Quantitative Reasoning Problems with Language Models

Reference 17

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T18:34:17.971557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f7005529-7fb1-4a36-b662-b98b6f419f79 · inbound

DVPO: Distributional Value Modeling-based Policy Optimization for LLM Post-Training cites this paper.

DVPO: Distributional Value Modeling-based Policy Optimization for LLM Post-Training Solving Quantitative Reasoning Problems with Language Models

Reference 14

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T01:48:51.106437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 97bd76e7-e889-42b1-b1f3-f9da977d1afa · inbound

Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning cites this paper.

Rethinking Expert Trajectory Utilization in LLM Post-training for Mathematical Reasoning Solving Quantitative Reasoning Problems with Language Models

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-05-16T22:43:37.841057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 6c5b8c08-1601-4292-88d2-341ce52d9524 · inbound

Coupled Variational Reinforcement Learning for Language Model General Reasoning cites this paper.

Coupled Variational Reinforcement Learning for Language Model General Reasoning Solving Quantitative Reasoning Problems with Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T16:43:55.364185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f51cda2a-2faa-405b-9701-30a67dc53431 · inbound

CORE: Concept-Oriented Reinforcement for Bridging the Definition-Application Gap in Mathematical Reasoning cites this paper.

CORE: Concept-Oriented Reinforcement for Bridging the Definition-Application Gap in Mathematical Reasoning Solving Quantitative Reasoning Problems with Language Models

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T20:28:24.126245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4a88acd3-be15-493f-a424-bfa82670cc09 · inbound

Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs cites this paper.

Spurious Rewards Paradox: Mechanistically Understanding How RLVR Activates Memorization Shortcuts in LLMs Solving Quantitative Reasoning Problems with Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T10:13:14.751527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7a19091-6e30-466f-9050-cb40ebc128d1 · inbound

CPMobius: Iterative Coach-Player Reasoning for Data-Free Reinforcement Learning cites this paper.

CPMobius: Iterative Coach-Player Reasoning for Data-Free Reinforcement Learning Solving Quantitative Reasoning Problems with Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T05:14:19.142903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d6598c9-fd54-434a-a830-8d18c221cd80 · inbound

When LLMs get significantly worse: A statistical approach to detect model degradations cites this paper.

When LLMs get significantly worse: A statistical approach to detect model degradations Solving Quantitative Reasoning Problems with Language Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-16T06:07:25.809903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 525c5edd-54fd-4ea3-8071-1cf2c1945008 · inbound

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation cites this paper.

When AI Benchmarks Plateau: A Systematic Study of Benchmark Saturation Solving Quantitative Reasoning Problems with Language Models

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-02T22:31:49.798678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 976d3e42-df8e-4b85-ae02-a6940dc370c6 · inbound

Boosting MLLM Spatial Reasoning with Geometrically Referenced 3D Scene Representations cites this paper.

Boosting MLLM Spatial Reasoning with Geometrically Referenced 3D Scene Representations Solving Quantitative Reasoning Problems with Language Models

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-15T14:35:56.065052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a7b4be31-3d19-483a-8913-66bb55cd7d0e · inbound

Attention Residuals cites this paper.

Attention Residuals Solving Quantitative Reasoning Problems with Language Models

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-05-21T06:39:04.500945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c75d1cd3-2d6c-4431-97fb-f713846ce7e7 · inbound

Assessing Large Language Models for Stabilizing Numerical Expressions in Scientific Software cites this paper.

Assessing Large Language Models for Stabilizing Numerical Expressions in Scientific Software Solving Quantitative Reasoning Problems with Language Models

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dda7c15a-ae62-4d17-87f1-672a2e1d1707 · inbound

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment cites this paper.

The Master Key Hypothesis: Unlocking Cross-Model Capability Transfer via Linear Subspace Alignment Solving Quantitative Reasoning Problems with Language Models

Reference 34

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bbabaafc-dd92-409f-a2b1-a55162726dc8 · inbound

From Perception to Autonomous Computational Modeling: A Multi-Agent Approach cites this paper.

From Perception to Autonomous Computational Modeling: A Multi-Agent Approach Solving Quantitative Reasoning Problems with Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8bd07ec3-655d-4c5e-84b1-1a69196829ea · inbound

When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning cites this paper.

When to Trust Tools? Adaptive Tool Trust Calibration For Tool-Integrated Math Reasoning Solving Quantitative Reasoning Problems with Language Models

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8181b803-58df-495b-bc2e-104fe803fa31 · inbound

Demystifying OPD: Length Inflation and Stabilization Strategies for Large Language Models cites this paper.

Demystifying OPD: Length Inflation and Stabilization Strategies for Large Language Models Solving Quantitative Reasoning Problems with Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 160dda99-d944-4d04-ae55-3a6a34ae75ca · inbound

Measuring Representation Robustness in Large Language Models for Geometry cites this paper.

Measuring Representation Robustness in Large Language Models for Geometry Solving Quantitative Reasoning Problems with Language Models

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-13T19:38:10.475735Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f2dce326-f17c-4651-8365-86f0e9ced5b2 · inbound

Multiplication in Multimodal LLMs: Computation with Text, Image, and Audio Inputs cites this paper.

Multiplication in Multimodal LLMs: Computation with Text, Image, and Audio Inputs Solving Quantitative Reasoning Problems with Language Models

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 49784fcb-ff62-447b-ae82-073fde45b482 · inbound

Fine-Tuning Small Reasoning Models for Quantum Field Theory cites this paper.

Fine-Tuning Small Reasoning Models for Quantum Field Theory Solving Quantitative Reasoning Problems with Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation efd631ab-6fa7-4f5d-92c3-9a19682e306a · inbound

Math Takes Two: A test for emergent mathematical reasoning in communication cites this paper.

Math Takes Two: A test for emergent mathematical reasoning in communication Solving Quantitative Reasoning Problems with Language Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-14T22:08:04.270133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation feab345a-50ce-4ca3-88cd-27cafeaeb9e7 · inbound

Co-Evolving Policy Distillation cites this paper.

Co-Evolving Policy Distillation Solving Quantitative Reasoning Problems with Language Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation af0cf941-b532-4d8c-afeb-c3c16f2f100d · inbound

Diversity in Large Language Models under Supervised Fine-Tuning cites this paper.

Diversity in Large Language Models under Supervised Fine-Tuning Solving Quantitative Reasoning Problems with Language Models

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ad1e6bf7-cfe6-4dd0-92e8-2d201e745fb7 · inbound

Diversity in Large Language Models under Supervised Fine-Tuning cites this paper.

Diversity in Large Language Models under Supervised Fine-Tuning Solving Quantitative Reasoning Problems with Language Models

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ab27407c-c671-4305-986c-f5f44e43a829 · inbound

Balanced Aggregation: Understanding and Fixing Aggregation Bias in GRPO cites this paper.

Balanced Aggregation: Understanding and Fixing Aggregation Bias in GRPO Solving Quantitative Reasoning Problems with Language Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b2894fe1-54b8-4344-935a-6eee4cce34ff · inbound

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key cites this paper.

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key Solving Quantitative Reasoning Problems with Language Models

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1a4ae588-c66f-4b5f-824d-a8240fc46519 · inbound

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key cites this paper.

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key Solving Quantitative Reasoning Problems with Language Models

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ea95de36-787d-47b4-ba87-9ca6aa6f2eb9 · inbound

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key cites this paper.

Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key Solving Quantitative Reasoning Problems with Language Models

Reference 81

Resolution: verified exact; local_arxiv, observed 2026-05-20T22:39:10.574860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 4a6c09a5-9517-48d3-97c6-d75c04a08688 · inbound

AI co-mathematician: Accelerating mathematicians with agentic AI cites this paper.

AI co-mathematician: Accelerating mathematicians with agentic AI Solving Quantitative Reasoning Problems with Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b67b3cc6-1079-470d-9afc-cd757714e417 · inbound

AI co-mathematician: Accelerating mathematicians with agentic AI cites this paper.

AI co-mathematician: Accelerating mathematicians with agentic AI Solving Quantitative Reasoning Problems with Language Models

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-14T21:19:28.656582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 67a8ea0a-2f08-42c3-a7b4-49fd54de8e05 · inbound

Experience Sharing in Mutual Reinforcement Learning for Heterogeneous Language Models cites this paper.

Experience Sharing in Mutual Reinforcement Learning for Heterogeneous Language Models Solving Quantitative Reasoning Problems with Language Models

Reference 47

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 80e57765-08e0-454d-990a-3c5d3197e885 · inbound

KL for a KL: On-Policy Distillation with Control Variate Baseline cites this paper.

KL for a KL: On-Policy Distillation with Control Variate Baseline Solving Quantitative Reasoning Problems with Language Models

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-12T22:43:59.458883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2cc75565-6293-4305-a0ad-b9802c21183b · inbound

Rotation-Preserving Supervised Fine-Tuning cites this paper.

Rotation-Preserving Supervised Fine-Tuning Solving Quantitative Reasoning Problems with Language Models

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-13T06:27:24.455152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9070d867-ae15-435c-97db-5dcb908e3d29 · inbound

Teacher-Guided Policy Optimization for On-Policy Reasoning Distillation under Large Policy Divergence cites this paper.

Teacher-Guided Policy Optimization for On-Policy Reasoning Distillation under Large Policy Divergence Solving Quantitative Reasoning Problems with Language Models

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-14T20:12:54.682473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dcc48307-2e9a-4ace-85de-55be68ee9c9a · inbound

LLMs Know When They Know, but Do Not Act on It: A Metacognitive Harness for Test-time Scaling cites this paper.

LLMs Know When They Know, but Do Not Act on It: A Metacognitive Harness for Test-time Scaling Solving Quantitative Reasoning Problems with Language Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-15T04:49:43.867923Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 509986d1-fd53-4415-a0cc-9bdf711ab8b5 · inbound

AGPO: Adaptive Group Policy Optimization with Dual Statistical Feedback cites this paper.

AGPO: Adaptive Group Policy Optimization with Dual Statistical Feedback Solving Quantitative Reasoning Problems with Language Models

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T07:14:02.376568Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bc2750ca-96c5-4296-9f70-71c7bc2deda3 · inbound

Intelligence as Managed Autonomy: Failure, Escalation, and Governance for Agentic AI Systems cites this paper.

Intelligence as Managed Autonomy: Failure, Escalation, and Governance for Agentic AI Systems Solving Quantitative Reasoning Problems with Language Models

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-06-29T16:53:41.384829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c86be0a4-b388-4e13-844a-acabc39fad4c · inbound

CAST: Non-Privileged Clipped Asymmetric Self-Teaching with Advantage Flipping for GRPO cites this paper.

CAST: Non-Privileged Clipped Asymmetric Self-Teaching with Advantage Flipping for GRPO Solving Quantitative Reasoning Problems with Language Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-07-01T19:26:01.039451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 32f183b1-3da3-49b7-9b7a-b02d827442b5 · inbound

Off-the-Shelf LLMs as Process Scorers: Training-Free Alternative to PRMs for Mathematical Reasoning cites this paper.

Off-the-Shelf LLMs as Process Scorers: Training-Free Alternative to PRMs for Mathematical Reasoning Solving Quantitative Reasoning Problems with Language Models

Reference 18

Resolution: metadata mismatch; local_arxiv, observed 2026-07-01T22:36:17.516396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8bf72e2a-1783-43c6-9d8a-dea516975245 · inbound

Evaluating Reasoning Fidelity in Visual Text Generation cites this paper.

Evaluating Reasoning Fidelity in Visual Text Generation Solving Quantitative Reasoning Problems with Language Models

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-02T07:16:44.542613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 9a8dcf91-01b6-47ef-a8db-cc7c2df2d7b3 · inbound

RASFT: Rollout-Adaptive Supervised Fine-Tuning for Reasoning cites this paper.

RASFT: Rollout-Adaptive Supervised Fine-Tuning for Reasoning Solving Quantitative Reasoning Problems with Language Models

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-06-27T22:31:21.110435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dca2582a-0a01-401a-870b-f1a93f8443a0 · inbound

Investigating LLM's Problem Solving Capability -- a Study on Statics Questions cites this paper.

Investigating LLM's Problem Solving Capability -- a Study on Statics Questions Solving Quantitative Reasoning Problems with Language Models

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-01T08:25:33.407001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation c8716189-2874-4206-8d3d-81b5277bf5fa · inbound

Post-Training Shifts Confidence: A Three-Stage Analysis of How SFT, RL, and OPD Shape CoT Calibration cites this paper.

Post-Training Shifts Confidence: A Three-Stage Analysis of How SFT, RL, and OPD Shape CoT Calibration Solving Quantitative Reasoning Problems with Language Models

Reference 92

Resolution: unresolved; no resolver link, observed 2026-08-02T03:56:24.673658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 016a574d-6436-42a8-906d-21d3677f916c · inbound

Making Open-Source Text LLM Watermarks Durable Against Merging cites this paper.

Making Open-Source Text LLM Watermarks Durable Against Merging Solving Quantitative Reasoning Problems with Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T14:26:15.074953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82427e8f-5477-45f9-bfa7-e47d48933bd8 · inbound

Learning as Reasoning Unfolds: Progressive Rollout Allocation for Efficient Reinforcement Learning cites this paper.

Learning as Reasoning Unfolds: Progressive Rollout Allocation for Efficient Reinforcement Learning Solving Quantitative Reasoning Problems with Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T06:14:26.859099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ce70b83-5571-43e0-9412-66e1828d9c37 · inbound

(Towards) Scalable Reliable Automated Evaluation with Large Language Models cites this paper.

(Towards) Scalable Reliable Automated Evaluation with Large Language Models Solving Quantitative Reasoning Problems with Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-07-31T12:20:07.003081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62507b1a-98bb-452b-bf33-54dc3613156e · inbound

When Teachers Mislead: Spurious-Signal-Aware On-Policy Distillation cites this paper.

When Teachers Mislead: Spurious-Signal-Aware On-Policy Distillation Solving Quantitative Reasoning Problems with Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T15:45:28.124748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49f2b6e4-87a6-4f3f-ad81-d79f9f09dca1 · inbound

Distill Skills into Weights, Not Prompts: Abstract Skills as Privileged Signals for On-Policy Self-Distillation cites this paper.

Distill Skills into Weights, Not Prompts: Abstract Skills as Privileged Signals for On-Policy Self-Distillation Solving Quantitative Reasoning Problems with Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T05:57:51.012718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.