Paper Citation Record · LEDGER

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis

As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 2 inbound Pith citation observations for arXiv:2511.09907.

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

pith.paper-citation-record.v1
2511.09907 v5

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-17T22:59:48.260121Z

measured 29 of 29 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T10:01:45.332920Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T10:27:56.530584Z

Reference resolution

27 of 27 outbound references displayed

verified exact21
verified fuzzy1
unresolved0
parse uncertain0
malformed identifier2
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c2981dc0-b812-4a6d-900e-28c53067ed30 · outbound

This paper cites Qwen2.5-VL Technical Report.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Qwen2.5-VL Technical Report

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:00:25.514022Z

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.

Observation e3769ba7-2e51-41fe-9a9d-db38190c9f93 · outbound

This paper cites Language models that think, chat better.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Language models that think, chat better

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:00:25.520925Z

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.

Observation d36ba037-24b8-463b-88aa-a4f5a0ef087f · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Training Verifiers to Solve Math Word Problems

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:00:25.504561Z

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.

Observation 18aa1124-f05a-46e4-8635-a815703245c7 · outbound

This paper cites SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:00:25.501322Z

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.

Observation 7f9af066-a144-4ba4-a756-72dbbcdb5828 · outbound

This paper cites Synthetic Data RL: Task Definition Is All You Need.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Synthetic Data RL: Task Definition Is All You Need

Reference 5

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T23:00:25.524260Z

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.

Observation 741c5291-7bb4-4b1e-a06d-918a2738ab69 · outbound

This paper cites R-Zero: Self-Evolving Reasoning LLM from Zero Data.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis R-Zero: Self-Evolving Reasoning LLM from Zero Data

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:00:25.510812Z

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.

Observation fe0854a1-4679-46cb-ae9c-7bda128d94cc · outbound

This paper cites Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:00:25.498240Z

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.

Observation 3414d351-c086-43d3-a653-39a06647375d · outbound

This paper cites BIG-Bench Extra Hard.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis BIG-Bench Extra Hard

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:00:25.507895Z

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.

Observation 0b2cf992-4f6c-4836-b903-becb543c6f98 · outbound

This paper cites Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-05-17T23:00:25.527531Z

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.

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

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

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.

Observation 649da9e0-17f2-49a3-beb2-0d99f651384e · outbound

This paper cites MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis MM-Eureka: Exploring the Frontiers of Multimodal Reasoning with Rule-based Reinforcement Learning

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:00:25.467935Z

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.

Observation b9b9779e-b9a0-453e-b8c9-3e6376b9d8a1 · outbound

This paper cites Scalediff: Scaling difficult problems for advanced mathematical reasoning.arXiv preprint arXiv:2509.21070.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Scalediff: Scaling difficult problems for advanced mathematical reasoning.arXiv preprint arXiv:2509.21070

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:00:25.464977Z

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.

Observation 70735b1c-6836-4759-aec6-7e9676b32943 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Proximal Policy Optimization Algorithms

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:00:25.471087Z

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.

Observation bf683fa7-5a43-4025-a9e0-2f3e6c0e81d0 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:00:25.455859Z

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.

Observation 59397268-50c9-4951-b475-5a1103e41478 · outbound

This paper cites arXiv preprint arXiv:2509.24726 , year=.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis arXiv preprint arXiv:2509.24726 , year=

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T23:00:25.474995Z

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.

Observation 9859c030-1cb5-465a-bc01-e47c1b600820 · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:00:25.494431Z

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.

Observation fefd0ac1-4f43-4b0f-8763-857bbd9d533f · outbound

This paper cites Qwen3 Technical Report.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Qwen3 Technical Report

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:00:25.483210Z

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.

Observation 37c7f58b-4c4f-474c-9690-e1cefd9683bb · outbound

This paper cites CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis CoT-Self-Instruct: Building high-quality synthetic prompts for reasoning and non-reasoning tasks

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:00:25.449719Z

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.

Observation 3a76be87-66db-41fd-9c7b-fa7be54d72d9 · outbound

This paper cites SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:00:25.443139Z

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.

Observation af8bd071-788a-4dc4-abd2-e7f0a6b55d65 · outbound

This paper cites Small Language Models Need Strong Verifiers to Self-Correct Reasoning.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Small Language Models Need Strong Verifiers to Self-Correct Reasoning

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:00:25.491154Z

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.

Observation 57b2310b-f1db-4c8c-8d96-305438cda973 · outbound

This paper cites Reinforcing General Reasoning without Verifiers.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Reinforcing General Reasoning without Verifiers

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:00:25.487127Z

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.

Observation 1fc7e214-3e29-42a7-9a7d-6937a4bfec75 · outbound

This paper cites TTRL: Test-Time Reinforcement Learning.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis TTRL: Test-Time Reinforcement Learning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-05-17T23:00:25.478758Z

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.

Observation 87d708a7-eebe-4bc8-962a-c9bb35973ad9 · outbound

This paper cites We use Fully Sharded Data Parallel (FSDP) with full parameter sharding and optional CPU offloading for parameters and optimizer states to balance GPU memory.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis We use Fully Sharded Data Parallel (FSDP) with full parameter sharding and optional CPU offloading for parameters and optimizer states to balance GPU memory

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-17T23:00:26.004521Z

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.

Observation e61635e8-9ab7-412f-8869-323a8b82c287 · outbound

This paper cites an unresolved cited work.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Unresolved cited work

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:00:25.461907Z

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.

Observation 4c0398a9-a582-46db-8de7-f3e3cdcec89f · outbound

This paper cites an unresolved cited work.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Unresolved cited work

Reference 25

Resolution: malformed identifier; arxiv_id, observed 2026-05-17T23:00:25.458948Z

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.

Observation a5b03c8f-c7de-4161-b2e5-9dd679aef0d9 · outbound

This paper cites an unresolved cited work.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Unresolved cited work

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:00:25.452389Z

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.

Observation f1090191-69d4-4c25-80af-fef6e1923e11 · outbound

This paper cites an unresolved cited work.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Unresolved cited work

Reference 27

Resolution: malformed identifier; arxiv_id, observed 2026-05-17T23:00:25.446213Z

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.

Pith citing papers

Observation ac8cef94-4fff-4813-a574-a280e2b91aa0 · inbound

Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory cites this paper.

Memory Grafting: Scaling Language Model Pre-training via Offline Conditional Memory Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-21T05:49:40.807207Z

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.

Observation f0f89c7f-7555-48b2-94c2-6f7266085797 · inbound

FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents cites this paper.

FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis

Reference 45

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T10:27:56.531843Z

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.