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Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:31:36.555576Z

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

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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 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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T23:58:29.040819Z digest=sha256:9cb7cf9bcaad5253ddcaacf3a4f91c040d64052619fc98cf1038c00df9d5125c

Observation aea2ab23-3e97-4f52-8a6c-2a852797e6cc · inbound

Mars-PO: Multi-Agent Reasoning System Preference Optimization cites this paper.

Mars-PO: Multi-Agent Reasoning System Preference Optimization MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-12T10:39:36.887300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T10:39:36.887300Z digest=sha256:3f0bc5b4fb982356a6eb8075fc7ae57e362d69e9205dabcf9b7056456d2635ed

Observation ebd885ec-f794-463b-a8a0-ac131827537d · inbound

System-2 Mathematical Reasoning via Enriched Instruction Tuning cites this paper.

System-2 Mathematical Reasoning via Enriched Instruction Tuning MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-11T05:58:55.077285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:58:55.077285Z digest=sha256:00f1e54a3ba755755ae06a5fa6c2a7950d44def593b8676404394820e9fc0ef2

Observation 6433f402-dee4-4a0d-937b-2454a26d11d4 · inbound

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search cites this paper.

Enhancing Reasoning through Process Supervision with Monte Carlo Tree Search MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T22:37:07.196280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:37:07.196280Z digest=sha256:644c7d0127b8494d09b9a87717b0195cd9fb2e5f2283f2b0c3656aef9c685a11

Observation 0290046f-0e7b-4da4-809b-1c5782746978 · 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 MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T23:19:36.721310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:19:36.721310Z digest=sha256:0002ea41469471bcec1222b4967c5651770dc8786e52fe2c3ed6a88275412409

Observation 28531fba-c90d-422f-a967-cafcc9bee302 · inbound

Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues? cites this paper.

Reasoning-OCR: Can Large Multimodal Models Solve Complex Logical Reasoning Problems from OCR Cues? MathGenie: Generating Synthetic Data with Question Back-translation for Enhancing Mathematical Reasoning of LLMs

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T20:31:36.555576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:31:36.555576Z digest=sha256:054160bc15d959209b48565a27de72b3939472ab3d1b4c91069349faffdff586

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=sha256:7136ff501bcbfd27b38d275cfbe5eac9984cadfaab90289c2029c71f176a542b

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=sha256:99cc8e6c732b496960d7e200b197d976e9e71791a2d395b4d5537836725b86cb

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=sha256:55aeef918f4eb08508c6d3f468358587cc389a01b475f5c50b86d506e3012e7a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-17T22:59:48.260121Z digest=sha256:db6e5baf43fca7af4c8111919b8c29c79a393741386994f174e2707e0ffd71f1

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=sha256:09c856e4d6937532a6a10767df78a2fcb30566a540f33c71a268bad94833dd3a

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T07:02:02.992871Z digest=sha256:6b2ebf53e86416ebdedce6f5ab09334fae2d405c780f4810791e3bb222fb5280

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-21T05:55:25.350890Z digest=sha256:3b2d1b11a893a6df8fb7137ec974b2598c71e17904064c8762b3c082688960a2