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Paper Citation Record · LEDGER

MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2402.16352.

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

pith.paper-citation-record.v1
2402.16352 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:29:34.957668Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T05:59:41.167304Z

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 7ca1941d-7477-4e79-a4dd-3ff3a5abb369 · 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 MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-18T23:58:29.153407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T23:58:29.040819Z digest=sha256:33f8da7e1364cb924b0b3d92f6f6f60561a360821ec3fbdd74ef55bd658d148b

Observation 3d4f9a7d-1972-40c9-b23c-eae567766c12 · inbound

MDPO: Multi-Granularity Direct Preference Optimization for Mathematical Reasoning cites this paper.

MDPO: Multi-Granularity Direct Preference Optimization for Mathematical Reasoning MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:29:34.957668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:29:34.957668Z digest=sha256:c61a257ab7de941cfdde64a547bc094917c56b84ac8e0dfa8023f651b4cf8784

Observation 4dc90c5d-7c0e-438d-93fd-8bf69ab68936 · inbound

Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning? cites this paper.

Does Learning Mathematical Problem-Solving Generalize to Broader Reasoning? MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T19:53:36.791996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:53:36.791996Z digest=sha256:cdb41a977c5cc143ba0b5128e3626e845edbe63be058bdcff7c0371386efb0dd

Observation 80ef57f6-9230-4c83-bd50-703ed14d6531 · inbound

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training cites this paper.

ACT: Bridging the Gap in Code Translation through Synthetic Data Generation & Adaptive Training MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T15:12:38.698937Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:12:38.698937Z digest=sha256:6e1ec9c2333a6dc4a516abad1cd68bed0731ee850cc0b5aae35e1a0be7cbcf74

Observation ad793f38-4849-4875-8762-ca1e5f92081e · inbound

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis cites this paper.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-17T23:00:25.517385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T22:59:48.260121Z digest=sha256:74e38706e4d5fc9c328e844f8743f7320f714ee964829915c2dd9e179ed09fcd

Observation 1f5682fd-b576-4ba5-be75-b908b83c5943 · inbound

R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model? cites this paper.

R1-SyntheticVL: Is Synthetic Data from Generative Models Ready for Multimodal Large Language Model? MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-03T05:06:45.572114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:06:45.572114Z digest=sha256:e41bc5930e1c29641d649eff36ccc0db72edf693508c4d8bc881c2cb9eb9bc36

Observation 1dd061e9-75e2-445e-b1c8-cb0fd7841fc5 · inbound

AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems cites this paper.

AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-10T07:11:53.573646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T07:02:02.992871Z digest=sha256:3fdeec15cbad71b6fc899fbe60a8e6229564d804600f47e1f9acedeb2cfe94ce

Observation 4db64a0a-39ed-4613-ac51-5c344d97f80c · inbound

Learning First Integrals via Backward-Generated Data and Guided Reinforcement Learning cites this paper.

Learning First Integrals via Backward-Generated Data and Guided Reinforcement Learning MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-21T05:59:41.169172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-21T05:55:25.350890Z digest=sha256:4516619ffcae6e3f6fb34bffe9ebc084c2f02bd3e3cb2c94d9ffb362471da37f