Paper Citation Record · LEDGER

Hierarchical Budget Policy Optimization for Adaptive Reasoning

As of 18 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2507.15844.

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

pith.paper-citation-record.v1
2507.15844 v3

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:31:28.767651Z

measured 29 of 29 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 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 exact3
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 282d0983-76a0-4e7d-9269-597ef0fabc77 · outbound

This paper cites L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning.

Hierarchical Budget Policy Optimization for Adaptive Reasoning L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:26.600626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc1f98b9-2226-48e4-a27a-b217e678a2d8 · outbound

This paper cites URL https://doi.org/10.

Hierarchical Budget Policy Optimization for Adaptive Reasoning URL https://doi.org/10

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:26.692180Z

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Observation 2a4f7ba3-08d8-4a34-9586-a2519ef98720 · outbound

This paper cites Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models.

Hierarchical Budget Policy Optimization for Adaptive Reasoning Towards Reasoning Era: A Survey of Long Chain-of-Thought for Reasoning Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:26.868293Z

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Observation 4fc7dd44-8184-4f22-b1a9-b918be534d1f · outbound

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

Hierarchical Budget Policy Optimization for Adaptive Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:27.319209Z

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Observation 6c0aaae6-8018-48ee-8579-0d863a965da8 · outbound

This paper cites Thinkless: LLM Learns When to Think.

Hierarchical Budget Policy Optimization for Adaptive Reasoning Thinkless: LLM Learns When to Think

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:27.442287Z

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Observation 87229f48-e3d9-4439-b38f-18c0427e85b8 · outbound

This paper cites ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning.

Hierarchical Budget Policy Optimization for Adaptive Reasoning ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:27.609818Z

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Observation d8c3f112-3400-466c-8a33-b1f78825ba81 · outbound

This paper cites ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning.

Hierarchical Budget Policy Optimization for Adaptive Reasoning ThinkPrune: Pruning Long Chain-of-Thought of LLMs via Reinforcement Learning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:27.748148Z

Source-reported events for the cited work

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Observation c534d5d1-4d77-4b2e-b298-c0cf235de80c · outbound

This paper cites URLhttps://doi.org/10.48550/arXiv.2505.11225.

Hierarchical Budget Policy Optimization for Adaptive Reasoning URLhttps://doi.org/10.48550/arXiv.2505.11225

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:27.958656Z

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Observation e0714b9d-f4a4-46c2-9aee-ba6de4f8bcca · outbound

This paper cites Think Only When You Need with Large Hybrid-Reasoning Models.

Hierarchical Budget Policy Optimization for Adaptive Reasoning Think Only When You Need with Large Hybrid-Reasoning Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:28.102020Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02bf1114-67cd-4d06-8c9d-f67a7d202e2f · outbound

This paper cites SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning.

Hierarchical Budget Policy Optimization for Adaptive Reasoning SelfBudgeter: Adaptive Token Allocation for Efficient LLM Reasoning

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:28.228889Z

Source-reported events for the cited work

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Observation 3754db1e-dab9-47d9-9389-9b7d56f7f4d3 · outbound

This paper cites ThinkSwitcher: When to Think Hard, When to Think Fast.

Hierarchical Budget Policy Optimization for Adaptive Reasoning ThinkSwitcher: When to Think Hard, When to Think Fast

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:28.312222Z

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Observation 06e9ff18-fa4c-457d-ab68-213df15f9805 · outbound

This paper cites AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning.

Hierarchical Budget Policy Optimization for Adaptive Reasoning AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:28.441783Z

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Observation 8c52a92a-bdbe-41f5-8298-c7fb10f3f786 · outbound

This paper cites Reasoning Models Can Be Effective Without Thinking.

Hierarchical Budget Policy Optimization for Adaptive Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:28.526529Z

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Observation 040d2d23-8868-452a-8f41-466916fccb9b · outbound

This paper cites Reasoning Models Can Be Effective Without Thinking.

Hierarchical Budget Policy Optimization for Adaptive Reasoning Reasoning Models Can Be Effective Without Thinking

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:28.578878Z

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Observation 35312d21-cb31-4f3e-8bda-dc2b7aae9586 · outbound

This paper cites Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems.

Hierarchical Budget Policy Optimization for Adaptive Reasoning Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:28.703711Z

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Observation 5968c0c8-97cd-47c5-a1f7-f0cf736660e6 · outbound

This paper cites s1: Simple test-time scaling.

Hierarchical Budget Policy Optimization for Adaptive Reasoning s1: Simple test-time scaling

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:28.722892Z

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Observation 08e6a92c-a9df-4c47-970e-d32541be5277 · outbound

This paper cites Accessed: 2025-07-22.

Hierarchical Budget Policy Optimization for Adaptive Reasoning Accessed: 2025-07-22

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:28.728133Z

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Observation b823124c-5b7f-4289-abb1-10c120f67e88 · outbound

This paper cites URL https://doi.org/ 10.48550/arXiv.2505.04881.

Hierarchical Budget Policy Optimization for Adaptive Reasoning URL https://doi.org/ 10.48550/arXiv.2505.04881

Reference 22

Resolution: verified exact; doi, observed 2026-08-06T15:31:29.181641Z

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 a077caf7-ac67-47b6-8c0f-5df45d927f99 · outbound

This paper cites Learning when to think: Shaping adaptive reasoning in r1-style models via multi-stage RL.

Hierarchical Budget Policy Optimization for Adaptive Reasoning Learning when to think: Shaping adaptive reasoning in r1-style models via multi-stage RL

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:28.738590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c5a568d-8990-4f95-a77f-857af800e004 · outbound

This paper cites URL https://doi.org/ 10.48550/arXiv.2505.10832.

Hierarchical Budget Policy Optimization for Adaptive Reasoning URL https://doi.org/ 10.48550/arXiv.2505.10832

Reference 24

Resolution: verified exact; doi, observed 2026-08-06T15:31:29.109749Z

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 3a5e8ee1-c570-490f-991a-e77582d4a762 · outbound

This paper cites PATS: Process-Level Adaptive Thinking Mode Switching.

Hierarchical Budget Policy Optimization for Adaptive Reasoning PATS: Process-Level Adaptive Thinking Mode Switching

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:28.748477Z

Source-reported events for the cited work

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Observation 44edbed9-a921-4666-a661-fa77e446d855 · outbound

This paper cites URL https://doi.org/10.48550/arXiv.2505.20258.

Hierarchical Budget Policy Optimization for Adaptive Reasoning URL https://doi.org/10.48550/arXiv.2505.20258

Reference 26

Resolution: verified exact; doi, observed 2026-08-06T15:31:29.005466Z

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 d4571c65-7566-4e78-958d-fde3db65fa6b · outbound

This paper cites Scalable Chain of Thoughts via Elastic Reasoning.

Hierarchical Budget Policy Optimization for Adaptive Reasoning Scalable Chain of Thoughts via Elastic Reasoning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:28.757943Z

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Observation 092df8c9-b248-4eca-91ce-1631970e42fb · outbound

This paper cites URLhttps://doi.org/10.48550/arXiv.2504.15895.

Hierarchical Budget Policy Optimization for Adaptive Reasoning URLhttps://doi.org/10.48550/arXiv.2504.15895

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:28.763066Z

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Observation a884b321-ad3e-4dd1-8214-a6eead52d5c3 · outbound

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

Hierarchical Budget Policy Optimization for Adaptive Reasoning DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:28.767651Z

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Unavailable: canonical work link unavailable.

Observation 68b378fb-239c-496d-a120-d98241007ce4 · outbound

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

Hierarchical Budget Policy Optimization for Adaptive Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:27.109371Z

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Unavailable: canonical work link unavailable.

Observation 4b63b925-88cd-4732-a3ce-000e546a4658 · outbound

This paper cites AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning.

Hierarchical Budget Policy Optimization for Adaptive Reasoning AdaCoT: Pareto-Optimal Adaptive Chain-of-Thought Triggering via Reinforcement Learning

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:28.425196Z

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Observation c7fbf56c-13cb-4258-ac3f-e4ae51ea39cc · outbound

This paper cites Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs.

Hierarchical Budget Policy Optimization for Adaptive Reasoning Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:26.956879Z

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Observation 4af2d2de-57bc-4c3d-b51b-d6bed7cff138 · outbound

This paper cites L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning.

Hierarchical Budget Policy Optimization for Adaptive Reasoning L1: Controlling How Long A Reasoning Model Thinks With Reinforcement Learning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:26.625005Z

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Pith citing papers

No inbound Pith citation observations are available.