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Paper Citation Record · LEDGER

Improving Large Language Model Fine-tuning for Solving Math Problems

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2310.10047.

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

pith.paper-citation-record.v1
2310.10047 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:33:55.329461Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T23:58:29.146172Z

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 9707572d-5283-4e31-93c5-8370a9918894 · 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 Improving Large Language Model Fine-tuning for Solving Math Problems

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-18T23:58:29.148772Z

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.

source=pdf_text observed=2026-05-18T23:58:29.040819Z digest=sha256:f6b2442efd7baefcfbde76068d77a86fc3dadea9ed8c25cd714f5be4b2e13ac7

Observation b0ffc4af-b767-499b-b3e9-5083f300dd8c · inbound

From System 1 to System 2: A Survey of Reasoning Large Language Models cites this paper.

From System 1 to System 2: A Survey of Reasoning Large Language Models Improving Large Language Model Fine-tuning for Solving Math Problems

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:36:24.577404Z

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.

source=pdf_text observed=2026-05-13T01:36:23.845366Z digest=sha256:a66ddeb8b5ada82c8597002a100e1f7053f62d75f37c27a588e63d3f4ef56b33

Observation ae1bf471-dc67-454c-9dff-58f2d586f78c · inbound

Hume: Introducing System-2 Thinking in Visual-Language-Action Model cites this paper.

Hume: Introducing System-2 Thinking in Visual-Language-Action Model Improving Large Language Model Fine-tuning for Solving Math Problems

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-07T13:33:55.329461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:33:55.329461Z digest=sha256:e3107d8f8d7d6815bb380e8f03b23b4fe2661ac9f6ec0ffdae4bf6ab0565267f

Observation 15c53ae5-6c1d-4a3c-adfe-4dd50ec74692 · inbound

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models cites this paper.

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models Improving Large Language Model Fine-tuning for Solving Math Problems

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T12:48:15.805007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:48:15.805007Z digest=sha256:8ce287044226c79ad47945ee96f557fbe21a2fed2d83cacec3c4e319c13b6ad0

Observation cdee5b0e-b45c-4eef-b8b3-e02f34ede260 · inbound

Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification cites this paper.

Multi-Step Visual Reasoning with Visual Tokens Scaling and Verification Improving Large Language Model Fine-tuning for Solving Math Problems

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T05:45:30.675404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:45:30.675404Z digest=sha256:6b51d3f8b9ac4399a62d0ddcfda97cba4c911e21e00da13d2aca4160fecb008c

Observation 3ae028ca-7d4f-4477-91b8-157b9104151d · inbound

EMA Without the Lag: Bias-Corrected Iterate Averaging Schemes cites this paper.

EMA Without the Lag: Bias-Corrected Iterate Averaging Schemes Improving Large Language Model Fine-tuning for Solving Math Problems

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T10:23:50.334485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:23:50.334485Z digest=sha256:f16eb12c72a04afc4923f0aded9c36a339aff0f8026d499f837efe30ee946994

Observation 497d96e5-94be-459e-bcbb-5aa74bb4c199 · inbound

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models cites this paper.

Structure-Learnable Adapter Fine-Tuning for Parameter-Efficient Large Language Models Improving Large Language Model Fine-tuning for Solving Math Problems

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T11:10:14.915393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:10:14.915393Z digest=sha256:cbb2996313900b75c3ea3ea362f86af46e390df3bce850c311e05afc895ed0dc

Observation 85c22b34-cbcb-479d-8897-7833a5c92fdb · inbound

Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning cites this paper.

Plan Then Action:High-Level Planning Guidance Reinforcement Learning for LLM Reasoning Improving Large Language Model Fine-tuning for Solving Math Problems

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-04T12:52:27.130390Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:52:27.130390Z digest=sha256:33413fdd11a9247a02db769d92d4398cff8c287bce8feedbfabeb15c4fd3e6ac

Observation c3a513b9-e812-4425-ab62-cc684ce84464 · inbound

Logic-Regularized Verifier Elicits Reasoning from LLMs cites this paper.

Logic-Regularized Verifier Elicits Reasoning from LLMs Improving Large Language Model Fine-tuning for Solving Math Problems

Reference 73

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:51:10.891285Z

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.

source=arxiv_source observed=2026-05-08T10:54:01.229934Z digest=sha256:6c563447400ccafba38ee47836755098382d3162bd0aff2a15606b3b0bdfa6b9