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Paper Citation Record · LEDGER

Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2403.02333.

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

pith.paper-citation-record.v1
2403.02333 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:20:51.448211Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T08:02:23.614088Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 5fabff6e-65fe-42c3-95a3-b3e367d387b0 · inbound

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

Scaling Synthetic Data Creation with 1,000,000,000 Personas Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning

Reference 14

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T00:03:55.722916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-16T00:03:55.599967Z digest=sha256:1eee34e922380391bff97ff1206d9e4fcca93b7f67180bfacf11363f85c17cf3

Observation 8214fb5a-69a1-4c6b-8013-9f9cb38296c2 · inbound

Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation cites this paper.

Template-Driven LLM-Paraphrased Framework for Tabular Math Word Problem Generation Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T11:20:51.448211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:20:51.448211Z digest=sha256:c3560b6bfd080cfc78c858d8e9c435b1407dd48283c3a57bc539669838e85d56

Observation 46b16d1e-2351-4338-a498-e05128a54853 · inbound

CDS: Knowledge Component-Driven Data Synthesis Guided by Cognitive Diagnosis Theory cites this paper.

CDS: Knowledge Component-Driven Data Synthesis Guided by Cognitive Diagnosis Theory Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T20:44:16.923907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:44:16.923907Z digest=sha256:bfd889d6d0f29c5cd3994b64d123f024c9435ac7c23652868d465b26b5abf720

Observation 6f1fbceb-ef44-4f6b-9040-e5a3be97132e · inbound

OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas cites this paper.

OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T14:21:24.303873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:21:24.303873Z digest=sha256:d18e284005012222b40f03e0287c99efb906dc37d0890984acbfee4dd484bf69

Observation b33acd2c-425e-431d-a53e-905bf28611e9 · inbound

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training cites this paper.

MIH-TCCT: Mitigating Inconsistent Hallucinations in LLMs via Event-Driven Text-Code Cyclic Training Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T23:19:36.706962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:19:36.706962Z digest=sha256:f648175fe4c4a0feb3b73d18637e299a1efad2170e5c71c99ac7356aca01b2b6

Observation 10d334e0-dd35-41dd-a1e1-d3299a1ff9ca · inbound

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning

Reference 145

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:02:23.618150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-19T08:02:23.002090Z digest=sha256:e3d6afdb2f0f41b5f2273cf8b590f433dc4a6eb39a79b8efc7b6b42f7c070643

Observation fb1ce042-9dc1-4575-8db7-52dae69f6ba1 · inbound

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models cites this paper.

Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning

Reference 300

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T08:40:41.743043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:1aaeb19cbe54df76896b69429de46d992caf953807153682c236d6f625f0d001

Observation 06432e54-e417-44d7-9902-2eb4ccfde470 · 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 Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-07T15:36:06.373531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:36:06.373531Z digest=sha256:5d8efd6ede99d1e11be2e3b5d90b6657166fdbe9648d13f0a0000180f453e8c3

Observation 0e766d3b-c328-4a50-84ad-7f0ba09602b3 · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning

Reference 179

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:13.185848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:13.185848Z digest=sha256:5369ddb3ffcdf4508eb8ba261ae1756507bd28178e66ec409e00576db5216a0e

Observation 056d6f3b-8055-457c-9cb0-12be14510874 · inbound

rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset cites this paper.

rStar-Coder: Scaling Competitive Code Reasoning with a Large-Scale Verified Dataset Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T13:40:17.228117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:40:17.228117Z digest=sha256:3ef30c0a7253247b5897aaeaf906669fe46e73a5f44d76d97393b15aa82b516c

Observation 4a3e3d71-fb7f-4721-95c4-f2d4567803fb · inbound

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

A Survey on Large Language Models for Mathematical Reasoning Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:46.545758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:46.545758Z digest=sha256:2dda2e0dd783280b01aca98b8f12bdd32c9d30cd96aa3b7dd7d0d0607e501d3b

Observation 408a24fd-cfcc-4564-b8ff-ff9c928c58d3 · inbound

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning cites this paper.

SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning Key-Point-Driven Data Synthesis with its Enhancement on Mathematical Reasoning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:01:24.127813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:01:24.127813Z digest=sha256:ba84329ad5f2bf238cb1c12e98093447e1ef79a5183775ae20a93778b7c9f57d