Paper Citation Record · LEDGER

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem

As of 18 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2506.03295.

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

pith.paper-citation-record.v1
2506.03295 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:13:55.402176Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T05:23:08.478393Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T09:23:37.521970Z

Reference resolution

34 of 34 outbound references displayed

verified exact0
verified fuzzy0
unresolved34
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f61a3d36-b194-4a19-80e4-5fe8042ad77e · outbound

This paper cites online" 'onlinestring :=.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem online" 'onlinestring :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:52.240891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bddc807-a88e-4a84-8e28-f448c411a530 · outbound

This paper cites write newline.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:52.323699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 032176ae-7252-468b-9ff9-fb94657eb39b · outbound

This paper cites Phi-4-reasoning Technical Report.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Phi-4-reasoning Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:52.400441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64dc34c3-5951-4705-aec2-9f1d5c9b3859 · outbound

This paper cites GPT-4 Technical Report.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem GPT-4 Technical Report

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:52.506651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ceb413f-2a7b-4c3b-b255-b662ea55ec38 · outbound

This paper cites an unresolved cited work.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:13:56.812661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f5a9ef3e-62e5-40ab-b996-0d4c84c0436d · outbound

This paper cites an unresolved cited work.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Unresolved cited work

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:52.676931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8d4d64b-3532-482b-a0a8-9cd360d41574 · outbound

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

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem SuperGPQA: Scaling LLM Evaluation across 285 Graduate Disciplines

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:52.791271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c3c6318-4650-477a-826d-0a6ef184648c · outbound

This paper cites an unresolved cited work.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:13:56.607935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation ad00419f-80f7-4192-9c27-d8b928d75df3 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:52.980675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e35f8357-73d7-4ba2-a547-0b006bb08109 · outbound

This paper cites an unresolved cited work.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:53.074826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f36f3d9b-9820-40ef-b053-f8c2ce170c51 · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Measuring Mathematical Problem Solving With the MATH Dataset

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:53.146158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b47a0b5-9e12-4b7c-92b3-386e12b15de2 · outbound

This paper cites an unresolved cited work.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:53.242475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ef3b0a0a-d011-4cc8-8d46-32c24501447a · outbound

This paper cites Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:53.326869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95815a1c-d9b2-4c25-ac55-c5ec47921bb3 · outbound

This paper cites OpenAI o1 System Card.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem OpenAI o1 System Card

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:53.423566Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dab77a8c-5779-48ce-9821-740a9524f26c · outbound

This paper cites BIG-Bench Extra Hard.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem BIG-Bench Extra Hard

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:53.511955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18c74c37-490f-495c-8640-0c7dd3b64025 · outbound

This paper cites an unresolved cited work.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:53.610370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0be86bb8-dca2-4b9f-9e6b-4ee186768982 · outbound

This paper cites AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem AceMath: Advancing Frontier Math Reasoning with Post-Training and Reward Modeling

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:53.714891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c458e86f-bf83-4911-8d45-be01a33a7d17 · outbound

This paper cites General-Reasoner: Advancing LLM Reasoning Across All Domains.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem General-Reasoner: Advancing LLM Reasoning Across All Domains

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:53.817051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8850b35-548f-4380-a5f3-600086c3753c · outbound

This paper cites s1: Simple test-time scaling.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem s1: Simple test-time scaling

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:53.902869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2e15b19-515e-4dd6-ad16-7b64c773c0b9 · outbound

This paper cites an unresolved cited work.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:13:56.439106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation be07fda1-f257-458c-b527-5313acd2bbc2 · outbound

This paper cites an unresolved cited work.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:13:56.315205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation fe1384b7-7f29-4423-85e6-839528e25287 · outbound

This paper cites an unresolved cited work.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Unresolved cited work

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:54.250085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8cb61302-0316-49ef-8f2a-b4ef49a9bdfe · outbound

This paper cites an unresolved cited work.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:13:56.076603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5ff1a335-898a-4926-b228-1eeacf38255a · outbound

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

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:54.466759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d2fe63a-e74e-4ea6-b315-b09ac42ba3c4 · outbound

This paper cites an unresolved cited work.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:54.545213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb53f15c-9bda-41fe-b338-77fba178d538 · outbound

This paper cites Reinforcement Learning for Reasoning in Large Language Models with One Training Example.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:54.643303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c47b0fc3-0508-435c-aa00-a904a00345d2 · outbound

This paper cites an unresolved cited work.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:54.739185Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a427ab1-20d6-42e5-875b-457b07433dc2 · outbound

This paper cites Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Critique Fine-Tuning: Learning to Critique is More Effective than Learning to Imitate

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:54.819029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b679c15-fa0b-45ea-9eb4-314ab6cb5bf7 · outbound

This paper cites MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem MiMo: Unlocking the Reasoning Potential of Language Model -- From Pretraining to Posttraining

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:54.909053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72345245-f1cc-42a6-84b1-174caee69774 · outbound

This paper cites Qwen3 Technical Report.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Qwen3 Technical Report

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:55.027673Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a341be0-3ea0-4c17-9ce4-a97b22bc3daa · outbound

This paper cites Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-Improvement

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:55.110716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a5f9fc7-85ed-475f-8b00-cb6c7d8884c3 · outbound

This paper cites LIMO: Less is More for Reasoning.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem LIMO: Less is More for Reasoning

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:55.202416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfc1964e-dd6b-4193-892f-3d6fbb2eff31 · outbound

This paper cites an unresolved cited work.

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T11:13:55.861725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 475ea730-30f7-4685-a1f9-f66e4a87bee5 · outbound

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

Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem SimpleRL-Zoo: Investigating and Taming Zero Reinforcement Learning for Open Base Models in the Wild

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T11:13:55.402176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 444f8f0e-d11a-4ce5-a8bc-e6279d55bb8a · inbound

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment cites this paper.

HEALing Entropy Collapse: Enhancing Exploration in Few-Shot RLVR via Hybrid-Domain Entropy Dynamics Alignment Unleashing the Reasoning Potential of Pre-trained LLMs by Critique Fine-Tuning on One Problem

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-10T09:23:37.523565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.