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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 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 2026-08-07T23:19:36.706962Z

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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  • verified fuzzy0
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  • malformed identifier0
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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 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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T00:03:55.599967Z digest=sha256:799c8cc2ecbd90c672d7c8ac8089afd7d4e85f7a50002926b2fde6428f40ab17

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=sha256:465abe415fcc998366adc5151b39eac914adc423c53329764202e2debda05cea

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T08:02:23.002090Z digest=sha256:6e5a2a9b35012740a382aaf96afbe9fe22d9d138e411a8ae9905963b3c776610

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T08:40:40.910461Z digest=sha256:dc227734e815eb31062734f8f44c50dc63b184d10ce18408339477d2b8bb53fc

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:be219fd07a91ca2962d47cd78575fc4ede43fb940918fda180b30e079dfc7d9f

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=sha256:6a83c80da28529ccff6070facca1cea4ead80d5287c68b5825c4d6f68944f720

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:faaa055473429636b0a5748e80705abe8851b85bbb3f691a3ce3213d2ea0c9a1

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=sha256:38ec007d7ee5caa4b028ead41faccc86a2aac8f692bef0b7ccff50fb44b3b386

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:ef63e26851399a7b1261bd0f74b0c035dc13ccd118a1841d402a67f6f07cbcd3