Paper Citation Record · LEDGER

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models

As of 21 August 2026, this Paper Citation Record lists 58 of 58 outbound references and 13 inbound Pith citation observations for arXiv:2506.13923.

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

pith.paper-citation-record.v1
2506.13923 v2

Coverage vector

measured 58 of 58 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:31:38.586086Z

measured 71 of 71 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 2026-08-15T17:19:46.624230Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T20:48:56.210532Z

Reference resolution

58 of 58 outbound references displayed

verified exact0
verified fuzzy20
unresolved38
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93c69185-51db-403f-b91c-1b1ce5ffd1d1 · outbound

This paper cites OpenAI o1 System Card.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models OpenAI o1 System Card

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8988f1e-0c2e-4284-bd35-823af1320e74 · outbound

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

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:33.673149Z

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Observation b7ba5a2e-91c5-42a3-9966-0dd733e5b83c · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:33.763546Z

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Observation aeed9b1a-ca68-44e7-a2ec-7aa18495b3a8 · outbound

This paper cites Teaching large language models to reason with reinforcement learning.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Teaching large language models to reason with reinforcement learning

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:33.824990Z

Source-reported events for the cited work

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Observation d0963d46-c208-49b6-a62c-dfbab7fe6557 · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:33.883507Z

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Observation 13e84987-c960-42bc-9126-4f976a084cc3 · outbound

This paper cites an unresolved cited work.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:31:42.968767Z

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.

Observation e30394ea-1a98-4aed-b777-7263413883c9 · outbound

This paper cites Reinforced Self-Training (ReST) for Language Modeling.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Reinforced Self-Training (ReST) for Language Modeling

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:34.071107Z

Source-reported events for the cited work

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Observation 689b6931-b901-48bb-96f4-67616561938a · outbound

This paper cites Openai’s reinforcement fine-tuning research program, 2024.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Openai’s reinforcement fine-tuning research program, 2024

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:42.742679Z

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.

Observation c1892acf-dbe5-43b7-95c3-e78b068ceaea · outbound

This paper cites Be- yond human data: Scaling self-training for problem-solving with language models.Transactions on Machine Learning Research, 2024.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Be- yond human data: Scaling self-training for problem-solving with language models.Transactions on Machine Learning Research, 2024

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:42.566202Z

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.

Observation 77cc6ec1-5c4b-4636-94df-9c093f623c76 · outbound

This paper cites V-star: Training verifiers for self-taught reasoners.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models V-star: Training verifiers for self-taught reasoners

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:42.501094Z

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.

Observation c2bb22dc-bb45-4d6b-ab4c-61751a999089 · outbound

This paper cites ReST- MCTS*: LLM self-training via process reward guided tree search.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models ReST- MCTS*: LLM self-training via process reward guided tree search

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:42.266560Z

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.

Observation b2a05105-dcec-47c0-9c68-e37529ec670d · outbound

This paper cites Continuous control with deep reinforcement learning.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Continuous control with deep reinforcement learning

Reference 12

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Source-reported events for the cited work

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Observation b0c55e14-5657-40b7-af77-ff320e39af2b · outbound

This paper cites Qwen2.5 Technical Report.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Qwen2.5 Technical Report

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:34.635249Z

Source-reported events for the cited work

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Observation 503ce4ba-3497-4e35-aff9-16f65a6e7112 · outbound

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

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Measuring Mathematical Problem Solving With the MATH Dataset

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:34.851692Z

Source-reported events for the cited work

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Observation a94a7577-dd41-45a5-befa-721617b21833 · outbound

This paper cites Aime 2024.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Aime 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:42.081687Z

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.

Observation 27f7e066-ca93-4f55-bde1-e8f978f7cb64 · outbound

This paper cites Aime 2025.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Aime 2025

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:42.010708Z

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.

Observation 5a8cccb6-bcf6-462a-af42-818c0d348387 · outbound

This paper cites Amc 2023.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Amc 2023

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:41.885367Z

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.

Observation 07087427-359a-4e9b-9f33-1c67cb2dfdfa · outbound

This paper cites Gpqa: A graduate-level google-proof q&a benchmark.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Gpqa: A graduate-level google-proof q&a benchmark

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:35.213884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c05f9dc9-279f-4538-b816-a2bec136b49b · outbound

This paper cites OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models OlympiadBench: A Challenging Benchmark for Promoting AGI with Olympiad-Level Bilingual Multimodal Scientific Problems

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:35.273503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation beb9fd64-2327-4d99-9065-6f3e2b8f317e · outbound

This paper cites DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:35.407856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2577b0f8-e45f-4c7a-a99f-bf593af79254 · outbound

This paper cites Livecodebench: Holistic and contamination free evaluation of large language models for code.arXiv preprint, 2024.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Livecodebench: Holistic and contamination free evaluation of large language models for code.arXiv preprint, 2024

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:41.787072Z

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.

Observation 098d9765-40b6-4420-900c-835487736344 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Evaluating Large Language Models Trained on Code

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:35.563471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35b5e4f3-a3a6-487f-a86d-414cb3cac3d3 · outbound

This paper cites Open r1: A fully open reproduction of deepseek-r1, January 2025.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Open r1: A fully open reproduction of deepseek-r1, January 2025

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:35.647369Z

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Observation a9ff5d5f-0123-4e33-b672-8e7b2dd1c244 · outbound

This paper cites Dapo: An open-source llm reinforcement learning system at scale, 2025.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Dapo: An open-source llm reinforcement learning system at scale, 2025

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:35.732089Z

Source-reported events for the cited work

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Observation c7094ab0-9a3c-441e-b0b6-b7e5c9eb3c5e · outbound

This paper cites Fine-Tuning Language Models from Human Preferences.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Fine-Tuning Language Models from Human Preferences

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:35.831960Z

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Observation 97b7a885-7d76-403d-8754-9278b13936d2 · outbound

This paper cites an unresolved cited work.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:31:41.628336Z

Source-reported events for the cited work

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Observation a9c0a123-1458-4ec2-ad46-403029fe2937 · outbound

This paper cites LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models LMRL Gym: Benchmarks for Multi-Turn Reinforcement Learning with Language Models

Reference 28

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Observation c63c58de-bbae-4044-892f-a21618e9f075 · outbound

This paper cites Archer: Training language model agents via hierarchical multi-turn rl.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Archer: Training language model agents via hierarchical multi-turn rl

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:41.511850Z

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.

Observation 9a9491a7-4fca-4fb7-b1ee-481b3c08470d · outbound

This paper cites Aligning large multimodal models with factually augmented rlhf.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Aligning large multimodal models with factually augmented rlhf

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:41.386519Z

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.

Observation 63cc29ad-0a40-48b2-b947-c9ab58369e60 · outbound

This paper cites Kimi k1.5: Scaling Reinforcement Learning with LLMs.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Kimi k1.5: Scaling Reinforcement Learning with LLMs

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:36.250869Z

Source-reported events for the cited work

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Observation 62593bd3-d18c-4b33-b0fb-2ab464d70a43 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Training Verifiers to Solve Math Word Problems

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:36.352872Z

Source-reported events for the cited work

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Observation a56e454b-536e-4593-a6ea-861ee4fba24f · outbound

This paper cites Program Synthesis with Large Language Models.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Program Synthesis with Large Language Models

Reference 33

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Source-reported events for the cited work

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Observation 43b36156-2531-46f0-b9dd-afe892cd943c · outbound

This paper cites RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models RLEF: Grounding Code LLMs in Execution Feedback with Reinforcement Learning

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:36.562765Z

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Observation 0e997cca-1852-4654-a328-b4b1db39ef8c · outbound

This paper cites SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:36.601300Z

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Observation 386ef46f-11a8-45a7-9bcd-9bf7868f5487 · outbound

This paper cites Scaling LLM test-time com- pute optimally can be more effective than scaling parameters for reasoning.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Scaling LLM test-time com- pute optimally can be more effective than scaling parameters for reasoning

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:36.691691Z

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Observation 3f71c7fa-5d4b-4ef8-a912-a461dd82f61c · outbound

This paper cites Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:36.795096Z

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Observation 9fb8845d-8e9c-4e18-981d-6214dbf83a0d · outbound

This paper cites Assessing diversity collapse in reasoning.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Assessing diversity collapse in reasoning

Reference 38

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Source-reported events for the cited work

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Observation fee6f11f-2095-4421-a497-0c9994c674eb · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Direct preference optimization: Your language model is secretly a reward model

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:36.976302Z

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Observation 699988d1-d4a5-403a-b834-fa3f35c6c9b9 · outbound

This paper cites Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Tapered Off-Policy REINFORCE: Stable and efficient reinforcement learning for LLMs

Reference 40

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Observation eaf1f6ed-4b5c-439f-ad65-cf6251c95323 · outbound

This paper cites Learning to Reason under Off-Policy Guidance.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Learning to Reason under Off-Policy Guidance

Reference 41

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Observation 3294b235-12d3-4aea-af15-30508f14116f · outbound

This paper cites HybridFlow: A Flexible and Efficient RLHF Framework.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models HybridFlow: A Flexible and Efficient RLHF Framework

Reference 42

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Observation 2cbc1157-af60-4496-8d47-c2d7ac995883 · outbound

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Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Unresolved cited work

Reference 43

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:31:41.227473Z

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.

Observation 0b287539-eb83-4218-bd02-e499e193e097 · outbound

This paper cites an unresolved cited work.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:31:41.116242Z

Source-reported events for the cited work

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Observation 3ed7525f-09d6-411a-9a85-7468a3918160 · outbound

This paper cites an unresolved cited work.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:31:40.987925Z

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Observation b6d942a2-c234-4217-98f2-f56e1763451c · outbound

This paper cites an unresolved cited work.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:31:40.908596Z

Source-reported events for the cited work

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Observation 2bc9a944-19ff-4b71-bdeb-cc3b8a69008b · outbound

This paper cites A hint to the problem is provided below: [HINT_START].

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models A hint to the problem is provided below: [HINT_START]

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:40.776609Z

Source-reported events for the cited work

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Observation 85b570b4-9fb5-485c-b190-aab6de5316ce · outbound

This paper cites Think about how the identity (a²/4) - (4/a²) might be used as a building block for factoring the larger expression.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Think about how the identity (a²/4) - (4/a²) might be used as a building block for factoring the larger expression

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:40.646643Z

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.

Observation e13d6c72-369a-437f-ad8c-5d16f7844303 · outbound

This paper cites Ask yourself if a difference of powers or a recognizable factorization pattern might help connect the two parts of the expression.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Ask yourself if a difference of powers or a recognizable factorization pattern might help connect the two parts of the expression

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:40.472946Z

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.

Observation a818a75b-c756-4365-9c30-8c403835893b · outbound

This paper cites How can this substitution simplify the structure of the problem? ,→ ,→.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models How can this substitution simplify the structure of the problem? ,→ ,→

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:40.307652Z

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.

Observation ea984d5a-4322-41c4-93a6-29d8d3507596 · outbound

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Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:31:40.185924Z

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Observation 5ecf4a51-a6e2-4c78-aa2a-0f184f08c3db · outbound

This paper cites Use these observations to guide your step-by-step approach toward the final simplified result.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Use these observations to guide your step-by-step approach toward the final simplified result

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:40.020913Z

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.

Observation c4566f0d-4b2d-4f7c-a2b6-124fc1a5569b · outbound

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Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Unresolved cited work

Reference 53

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:31:39.842436Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d504db0d-c856-45e5-804c-5eb4622496fe · outbound

This paper cites an unresolved cited work.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Unresolved cited work

Reference 54

Resolution: unresolved; raw_fallback, observed 2026-08-07T00:31:39.762269Z

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.

Observation b03f974b-9501-4cfc-9c19-0e6a97c4b804 · outbound

This paper cites What does that imply about multiplying the side length? ,→ ,→.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models What does that imply about multiplying the side length? ,→ ,→

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:39.645444Z

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.

Observation e8681102-13af-4343-9de8-61d3a7d873a2 · outbound

This paper cites Ensure each step follows from the properties of a square.,→.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models Ensure each step follows from the properties of a square.,→

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:39.495423Z

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.

Observation a5312c55-30df-4e3f-bd80-b29e1640dc0b · outbound

This paper cites using the hint.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models using the hint

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:39.367706Z

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.

Observation 79e676a7-60b4-4be4-b507-194276321478 · outbound

This paper cites This example shows how a concise, domain-specific hint can redirect the model’s reasoning and correct a systematic geometric error.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models This example shows how a concise, domain-specific hint can redirect the model’s reasoning and correct a systematic geometric error

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:39.190927Z

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.

Observation 9efcd0cd-68c1-4bd7-bcb7-2855da000ad5 · outbound

This paper cites <think>\n {thoughts} </think>\n\.

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models <think>\n {thoughts} </think>\n\

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T00:31:39.011456Z

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.

Pith citing papers

Observation ae143971-845e-4b2c-a967-2259fae6503a · inbound

EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning cites this paper.

EvoCoT: Overcoming the Exploration Bottleneck in Reinforcement Learning Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-18T23:56:55.008684Z

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.

Observation daff95ec-0fc9-4ba0-9be5-c2f08db63c37 · inbound

G$^2$RPO-A: Guided Group Relative Policy Optimization with Adaptive Guidance cites this paper.

G$^2$RPO-A: Guided Group Relative Policy Optimization with Adaptive Guidance Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T17:19:46.624230Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5a87b9b-3829-498b-a3b9-57b85d3d4566 · inbound

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards cites this paper.

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T14:26:28.367388Z

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.

Observation ab55c3cc-e7da-457b-9948-d3f526203de4 · inbound

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards cites this paper.

Position: The Hidden Costs and Measurement Gaps of Reinforcement Learning with Verifiable Rewards Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T15:48:29.431431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11411b44-0b68-42f9-aeb6-eab51a369da2 · inbound

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance cites this paper.

TaoSR-AGRL: Adaptive Guided Reinforcement Learning Framework for E-commerce Search Relevance Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T10:53:08.661292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4ef3d49-52e8-4f36-943f-efa6b001fcff · inbound

Selective Off-Policy Reference Tuning with Plan Guidance cites this paper.

Selective Off-Policy Reference Tuning with Plan Guidance Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T01:47:05.199208Z

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.

Observation f6f35c7f-8dc4-4247-968c-0dd26bff82cf · inbound

Selective Off-Policy Reference Tuning with Plan Guidance cites this paper.

Selective Off-Policy Reference Tuning with Plan Guidance Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:22:59.342700Z

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.

Observation 2cf22fff-26b7-4055-817f-97f6907687bc · inbound

Learning Agentic Policy from Action Guidance cites this paper.

Learning Agentic Policy from Action Guidance Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T05:07:17.751601Z

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.

Observation 155a57b7-919a-4bda-89cb-84696c4310ee · inbound

Hide to Guide: Learning via Semantic Masking cites this paper.

Hide to Guide: Learning via Semantic Masking Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:34:39.107566Z

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.

Observation 9ca26ac3-6aa4-4d9d-99a9-9af34efbb577 · inbound

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients cites this paper.

Zone of Proximal Policy Optimization: Teacher in Prompts, Not Gradients Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models

Reference 94

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T20:48:56.211961Z

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.

Observation 8c9260d2-455f-405f-93e9-c5f57909abad · inbound

It Takes 8 Tokens: Weak-to-Strong Off-Policy RL via Auxiliary Branches cites this paper.

It Takes 8 Tokens: Weak-to-Strong Off-Policy RL via Auxiliary Branches Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-02T14:45:22.917496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 994c961a-99d7-4a9e-8378-21d7cd9ceb46 · inbound

LoRA Scaffolded Policy Optimization (LSPO): A Sampling-Time Low-Rank Scaffold for Recovering Reinforcement-Learning Gradient on Zero-Reward Cliff Prompts cites this paper.

LoRA Scaffolded Policy Optimization (LSPO): A Sampling-Time Low-Rank Scaffold for Recovering Reinforcement-Learning Gradient on Zero-Reward Cliff Prompts Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T01:28:56.693276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44f73572-76ad-4cac-a237-d43b714ec9a0 · inbound

Beacon: Knowing When and How to Perform Agentic Visual Reasoning cites this paper.

Beacon: Knowing When and How to Perform Agentic Visual Reasoning Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-31T02:45:28.621215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.