Paper Citation Record · LEDGER

TREK: Distill to Explore, Reinforce to Refine

As of 10 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2607.05339.

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

pith.paper-citation-record.v1
2607.05339 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-07T16:22:55.342495Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

verified exact21
verified fuzzy1
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 80fd619e-8d26-41d4-bcfd-4500c6ca129d · outbound

This paper cites an unresolved cited work.

TREK: Distill to Explore, Reinforce to Refine Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-07-07T16:24:01.114846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5352be6f-0bc7-4a50-833a-a960d1605d4f · outbound

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

TREK: Distill to Explore, Reinforce to Refine DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.004931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6633503d-8a18-4a48-818e-a0717298c2f7 · outbound

This paper cites On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes.

TREK: Distill to Explore, Reinforce to Refine On-Policy Distillation of Language Models: Learning from Self-Generated Mistakes

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-07T16:24:01.039917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ff8e90aa-e930-490e-9926-7509fb356e77 · outbound

This paper cites Not All Disagreement Is Learnable: Token Teachability in On-Policy Distillation.

TREK: Distill to Explore, Reinforce to Refine Not All Disagreement Is Learnable: Token Teachability in On-Policy Distillation

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.079034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 074eaec9-0a3d-4dea-b54b-31bc0f77c52d · outbound

This paper cites PACED: Distillation and On-Policy Self-Distillation at the Frontier of Student Competence.

TREK: Distill to Explore, Reinforce to Refine PACED: Distillation and On-Policy Self-Distillation at the Frontier of Student Competence

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.042864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 751d1dbc-e511-49da-ab79-ee3f3978eab6 · outbound

This paper cites ReAct: Synergizing Reasoning and Acting in Language Models.

TREK: Distill to Explore, Reinforce to Refine ReAct: Synergizing Reasoning and Acting in Language Models

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.097345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c63a4003-8702-4dab-83f6-e875f8d999fe · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

TREK: Distill to Explore, Reinforce to Refine Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-07-07T16:24:00.996759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ce4c47c0-24b1-47a2-92af-e5d57f20c716 · outbound

This paper cites Qwen3 Technical Report.

TREK: Distill to Explore, Reinforce to Refine Qwen3 Technical Report

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.047960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 248af4a3-40d6-4158-b03e-eb2f46dacadb · outbound

This paper cites Qwen2.5 Technical Report.

TREK: Distill to Explore, Reinforce to Refine Qwen2.5 Technical Report

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.085334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a7fba036-a782-4d1e-bef0-4fb3cb71fdeb · outbound

This paper cites ScienceWorld: Is your Agent Smarter than a 5th Grader?.

TREK: Distill to Explore, Reinforce to Refine ScienceWorld: Is your Agent Smarter than a 5th Grader?

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-07-07T16:24:01.073239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c0781527-49b7-4801-b333-8456bfad9bdf · outbound

This paper cites Learn hard problems during rl with reference guided fine-tuning.

TREK: Distill to Explore, Reinforce to Refine Learn hard problems during rl with reference guided fine-tuning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-07T16:24:01.015130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f0e7e388-ff58-4425-a764-6195cda5f8ce · outbound

This paper cites Privileged Information Distillation for Language Models.

TREK: Distill to Explore, Reinforce to Refine Privileged Information Distillation for Language Models

Reference 12

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.067687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7e044e34-5c57-4bce-8caa-255f67e81ed3 · outbound

This paper cites Self-Distillation Zero: Self-Revision Turns Binary Rewards into Dense Supervision.

TREK: Distill to Explore, Reinforce to Refine Self-Distillation Zero: Self-Revision Turns Binary Rewards into Dense Supervision

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.033844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 68754d8a-47c3-4562-9926-71451d911559 · outbound

This paper cites Unifying group-relative and self-distillation policy optimization via sample routing.

TREK: Distill to Explore, Reinforce to Refine Unifying group-relative and self-distillation policy optimization via sample routing

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-07T16:24:01.053970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 0e522810-a5e4-4478-a6ae-0e83353208e8 · outbound

This paper cites Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective Recipe.

TREK: Distill to Explore, Reinforce to Refine Uni-OPD: Unifying On-Policy Distillation with a Dual-Perspective Recipe

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.103354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e49b3531-1c2d-4a64-a419-f497a9e0e943 · outbound

This paper cites Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe.

TREK: Distill to Explore, Reinforce to Refine Rethinking On-Policy Distillation of Large Language Models: Phenomenology, Mechanism, and Recipe

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.037165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f84730e4-135e-4d18-ac39-ede5209b6f0a · outbound

This paper cites Black-box on-policy distillation of large language models.arXiv preprint.

TREK: Distill to Explore, Reinforce to Refine Black-box on-policy distillation of large language models.arXiv preprint

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-07-07T16:24:01.023987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b9e19399-1ae3-4466-ab36-2a952f75ea88 · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

TREK: Distill to Explore, Reinforce to Refine Self-Refine: Iterative Refinement with Self-Feedback

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.030689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation b249f26c-14a1-4331-a12d-4ee15eaae7d8 · outbound

This paper cites Let's Verify Step by Step.

TREK: Distill to Explore, Reinforce to Refine Let's Verify Step by Step

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.000144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 5dba23c9-7194-410c-8aa0-94905afb19d5 · outbound

This paper cites Large Language Models Can Self-Improve.

TREK: Distill to Explore, Reinforce to Refine Large Language Models Can Self-Improve

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.011439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4edc7a00-cbb0-46c6-bd20-dbf8595f699c · outbound

This paper cites Explanations from Large Language Models Make Small Reasoners Better.

TREK: Distill to Explore, Reinforce to Refine Explanations from Large Language Models Make Small Reasoners Better

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.020296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c88f63a8-01cb-4ef6-a526-ebeaa3148fb1 · outbound

This paper cites Distilling step-by-step! Outperforming larger language models with less training data and smaller model sizes.

TREK: Distill to Explore, Reinforce to Refine Distilling step-by-step! Outperforming larger language models with less training data and smaller model sizes

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-07-07T16:24:01.109437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d0388e6d-e7ad-4743-8324-16ab7979439e · outbound

This paper cites Knowledge Distillation with Training Wheels.

TREK: Distill to Explore, Reinforce to Refine Knowledge Distillation with Training Wheels

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:00.992883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 95e4f408-5e2b-441d-b11d-8da9c6048c83 · outbound

This paper cites Codes: A context-efficient framework for enhancing small language models via domain-specific adaptation and model ensembling.

TREK: Distill to Explore, Reinforce to Refine Codes: A context-efficient framework for enhancing small language models via domain-specific adaptation and model ensembling

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-07T16:24:00.985351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 811c02bb-30bc-4395-9d72-89f511531161 · outbound

This paper cites DriftGuard: Safety-Aware Multi-Monitor Detection and Selective Adaptation for Evolving Toxicity Moderation.

TREK: Distill to Explore, Reinforce to Refine DriftGuard: Safety-Aware Multi-Monitor Detection and Selective Adaptation for Evolving Toxicity Moderation

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.090823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 49cc97da-1f47-49f0-b1ac-383d63a66841 · outbound

This paper cites Reinforcement-aware Knowledge Distillation for LLM Reasoning.

TREK: Distill to Explore, Reinforce to Refine Reinforcement-aware Knowledge Distillation for LLM Reasoning

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.060405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 4e3e0f65-0415-4218-a492-0faf2c693271 · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

TREK: Distill to Explore, Reinforce to Refine DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-07-07T16:24:01.026792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 82644a5a-4930-4ea6-9580-ee56a8ce3e35 · outbound

This paper cites Group Sequence Policy Optimization.

TREK: Distill to Explore, Reinforce to Refine Group Sequence Policy Optimization

Reference 28

Resolution: metadata mismatch; local_arxiv, observed 2026-07-07T16:24:01.008182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cd089bc9-d9f3-4a1e-8fc8-79639bc469e3 · outbound

This paper cites an unresolved cited work.

TREK: Distill to Explore, Reinforce to Refine Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-07-07T16:24:01.119416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Pith citing papers

No inbound Pith citation observations are available.