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Paper Citation Record · LEDGER

MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2310.03731.

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

pith.paper-citation-record.v1
2310.03731 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:21:56.516105Z

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

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External citation measurements

4
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 2def9a8d-cad8-4ff2-8e2e-dc001bfd7787 · inbound

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models cites this paper.

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 34

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arxiv_id, observed 2026-05-17T03:03:27.000623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T03:03:26.723464Z digest=sha256:60e3339483f73ee1271c92f34052ac315eeec90c12d0b83418e5b0b8d7cd7c29

Observation ba6ef50c-7840-4cf6-8967-646b290e3316 · inbound

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security cites this paper.

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 54

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arxiv_id, observed 2026-05-17T00:57:26.920433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-17T00:57:26.303195Z digest=sha256:de1b9f779b033cafa05691d13c80032a3ab6ea2d7e20a504badfd3b49fe5708f

Observation c57e84ef-5c1d-41f1-8d29-adc04c866336 · inbound

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

CodeMind: Evaluating Large Language Models for Code Reasoning MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 9

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arxiv_id, observed 2026-05-24T03:55:59.744823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-24T03:53:55.964755Z digest=sha256:b600ecbbd2adfeca4e38bd2e76c3f66f825bfa7a04a98d1a0dcd96ac1e1ed1e6

Observation 89a7e51a-28bb-4f73-a6d9-41121c3579d8 · inbound

InternLM2 Technical Report cites this paper.

InternLM2 Technical Report MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 170

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arxiv_id, observed 2026-05-15T11:44:38.266507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-15T11:44:38.066501Z digest=sha256:ff4abbd55fd903c74a27a87c928e557cd9fab1d4e58e0b4ddc1567d0d4b2977c

Observation d0abb843-beab-40b5-a7d1-4f466f8d5266 · inbound

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs cites this paper.

Step-DPO: Step-wise Preference Optimization for Long-chain Reasoning of LLMs MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 27

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arxiv_id, observed 2026-05-18T23:58:29.205867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T23:58:29.040819Z digest=sha256:26d60c61dc6c5bf0b679bb15ca64bc9a2a653e2592747a1c95a250d10a177c2c

Observation 6ea04555-ccdf-4642-b5d7-875164cde317 · inbound

Scaling Synthetic Data Creation with 1,000,000,000 Personas cites this paper.

Scaling Synthetic Data Creation with 1,000,000,000 Personas MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 22

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arxiv_id, observed 2026-05-16T00:03:55.779793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T00:03:55.599967Z digest=sha256:5652c9b0e9fe59fd2ea6adb593a9bde009d98bc0dff1ba36a9e0b5d06513eb58

Observation c2f7f0d1-e8a8-43c6-aebb-e3d6355dedbb · inbound

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models cites this paper.

A Tool for In-depth Analysis of Code Execution Reasoning of Large Language Models MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 32

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no resolver link, observed 2026-08-09T23:21:56.516105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:21:56.516105Z digest=sha256:34fbfba3c4045d91cd6fc357366affbc933dfb576509adc8a668d0c1233441bd

Observation c96d01c1-4ec3-430f-82d7-e1ceaa255c6e · inbound

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

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 191

Resolution
verified exact
arxiv_id, observed 2026-05-23T04:32:32.512512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-23T04:30:38.804702Z digest=sha256:72dc9ea8cb8fc7df28289a3f2d34bafae3b0577db9548ebee43f89bba1dfdb68

Observation 0f339465-b4ad-4db8-b5e4-330fa8cfcb41 · inbound

Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages cites this paper.

Mind the Gap! Choice Independence in Using Multilingual LLMs for Persuasive Co-Writing Tasks in Different Languages MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 128

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no resolver link, observed 2026-08-07T21:10:57.747706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:10:57.747706Z digest=sha256:3b91c0451d7c3ca5bc84a24330d3ee5388644eb4eef80103160a170b4d2b054c

Observation 2a19d2fb-7574-414c-8b87-c3ce63ed6240 · inbound

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs cites this paper.

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 29

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arxiv_id, observed 2026-05-13T18:42:39.105751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T18:42:39.023650Z digest=sha256:d90e3d1a7a7fb8d7cc8b523531affc0a52e9d5044f38645cdaaab9d500029e13

Observation 9ac6abfd-775f-4358-9e43-fbd191d1ff3e · inbound

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training cites this paper.

Two Experts Are All You Need for Steering Thinking: Reinforcing Cognitive Effort in MoE Reasoning Models Without Additional Training MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 96

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unresolved
no resolver link, observed 2026-08-07T15:36:06.435967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:06.435967Z digest=sha256:34a929cab05781444bb781c641ebfc2327351f549c20f6dd8ce84d28346542e1

Observation e05631a2-1497-41f2-ba23-0ec21ee5516a · inbound

Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion cites this paper.

Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:21.437981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:21.437981Z digest=sha256:cddd5134bf9176c858ce9d77c5fd1573a82569ac8fd59ecc839c4e336f71fddb

Observation 5c171505-cd23-422d-9e0a-4bcda81e82f7 · inbound

Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning cites this paper.

Ego-R1: Chain-of-Tool-Thought for Ultra-Long Egocentric Video Reasoning MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 61

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unresolved
no resolver link, observed 2026-08-07T00:34:35.704789Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:34:35.704789Z digest=sha256:f8e6b63185e40ac43aec21af3e572e97fd8e3842d4f6524306ff195e68dc8d5b

Observation 901ede36-cd7b-492e-a496-01f068123fc7 · inbound

DuaShepherd: Integrating Stepwise Correctness and Potential Rewards for Mathematical Reasoning cites this paper.

DuaShepherd: Integrating Stepwise Correctness and Potential Rewards for Mathematical Reasoning MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 28

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unresolved
no resolver link, observed 2026-08-06T23:35:36.084979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:35:36.084979Z digest=sha256:db6c046939a3b8856e63878cc2d8594964cc35d9f4175e98b1d7b0b4bb0875d0

Observation 38559dbf-f1ae-4979-aae0-abcdcdc53f6f · inbound

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code cites this paper.

Teaching LLM to Reason: Reinforcement Learning from Algorithmic Problems without Code MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T18:43:59.614488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T18:43:59.614488Z digest=sha256:104523eba0f0e3e1a0eb077f150467eda389e04d216d4d3d1622d16b4dca4c5d

Observation cf910d0d-8a54-4eee-9b91-8d638cddd9fd · inbound

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters cites this paper.

Seed-X: Building Strong Multilingual Translation LLM with 7B Parameters MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-06T16:24:34.359157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:24:34.359157Z digest=sha256:f8dacbf77508667b71e0dee6c38db40088589e80434ba5de1f873082cf991560

Observation 157072b1-a794-49b1-be32-eda0a6466340 · inbound

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training cites this paper.

Data Mixing Agent: Learning to Re-weight Domains for Continual Pre-training MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 38

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metadata mismatch
arxiv_id, observed 2026-05-19T03:37:00.864495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T03:36:50.366757Z digest=sha256:dc3bcc30120ef930b33919a8491c9af34996e77c42506a8be93029471681cf47

Observation 21d94b57-9c05-41e8-8131-bba8f1ba23e1 · inbound

Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness cites this paper.

Arrows of Math Reasoning Data Synthesis for Large Language Models: Diversity, Complexity and Correctness MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 17

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unresolved
no resolver link, observed 2026-08-05T16:15:28.306599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:15:28.306599Z digest=sha256:e552654d83cf3592ac2e0c4712bc46ecf82dce3ec3625d43256aac0e6094d592

Observation b731d246-78c4-44c5-94b2-ee0466365cb3 · inbound

Survey of Specialized Large Language Model cites this paper.

Survey of Specialized Large Language Model MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T15:37:49.307488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:37:49.307488Z digest=sha256:b13435b8cc441df7b97180705e9154f8f9ab1ec9ff266793dc4f525352c37d50

Observation 75802de6-64a1-45a8-8f6a-179498ecdf76 · inbound

Semantic-Aware Logical Reasoning via a Semiotic Framework cites this paper.

Semantic-Aware Logical Reasoning via a Semiotic Framework MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 43

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verified exact
arxiv_id, observed 2026-05-18T13:01:23.928555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T12:57:45.584017Z digest=sha256:395d9d4e7ce950758968eed514c2ec59d6a7aee937e4360a660bafbcaeb7ffcb

Observation 0bb464b0-67cb-451d-b208-769ff4869b52 · 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 MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 43

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verified exact
arxiv_id, observed 2026-05-18T06:00:57.280405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T05:59:00.400429Z digest=sha256:c132bb645de046a0c5c410c7a3693c7181388bee0f9d4c12f5e208f326512b4f

Observation ced8d68d-404e-4b09-9192-69ca5fbf0b8c · inbound

DeepEyesV2: Toward Agentic Multimodal Model cites this paper.

DeepEyesV2: Toward Agentic Multimodal Model MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 48

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verified exact
arxiv_id, observed 2026-05-16T05:32:29.442436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-16T05:32:29.266583Z digest=sha256:62dfc04facfa87078179e870facb2cb8d3e7450f34d91ce924fea3eae2a10e43

Observation 640d47b3-c827-4530-8609-4c1171b90e33 · 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 MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T21:32:46.952975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:32:46.952975Z digest=sha256:93e3672040b96205dd56b79a9e1e0764f40ff16e8eb17cddcc2989d16fdc28cc

Observation 89d6c9af-5f35-4ab9-8d2f-62e75f435b0e · 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 MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T00:10:52.026754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T18:40:04.944348Z digest=sha256:cb6c622bf4cd249cab7449dbd34dce4c5d0b1b703951f8793d87b974dfa0a89e

Observation 3df5e4aa-3530-413b-a8fc-a265b487c964 · inbound

Code as Agent Harness cites this paper.

Code as Agent Harness MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 68

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arxiv_id, observed 2026-05-20T10:58:14.192945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T10:54:54.558241Z digest=sha256:062d14f02a8bd1ab4fb5d03ac3d3fc38df3909b6a6d5c5714f6c5bd97b6a47c4

Observation 4a95da48-141e-4b22-8e67-654bdde1244b · inbound

Agent Explorative Policy Optimization for Multimodal Agentic Reasoning cites this paper.

Agent Explorative Policy Optimization for Multimodal Agentic Reasoning MathCoder: Seamless Code Integration in LLMs for Enhanced Mathematical Reasoning

Reference 57

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verified exact
arxiv_id, observed 2026-06-29T12:23:24.100806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T12:22:39.655615Z digest=sha256:1898a333bd04e5949ff4b8f95b229db57f4944b6da948848bc1d91127c82860f