Paper Citation Record · LEDGER

Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2505.15612.

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

pith.paper-citation-record.v1
2505.15612 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 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 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:45:08.292468Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:19:43.881659Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8215d2d0-315b-4add-9aa8-a54da7b0598d · inbound

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models cites this paper.

Stop Overthinking: A Survey on Efficient Reasoning for Large Language Models Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Reference 116

Resolution: verified exact; arxiv_id, observed 2026-05-14T01:29:57.440468Z

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 e2806cf4-e1a3-4291-8d88-34263ede61be · inbound

Garbage In, Reasoning Out? Why Benchmark Scores are Unreliable and What to Do About It cites this paper.

Garbage In, Reasoning Out? Why Benchmark Scores are Unreliable and What to Do About It Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:08.292468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cb0dbfa-7cc7-4266-9804-628e6c489f8c · inbound

Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning cites this paper.

Reconsidering Overthinking: Penalizing Internal and External Redundancy in CoT Reasoning Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T05:14:37.167029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6db48e9a-15f4-4c36-8b2f-f582bbe38f7d · inbound

GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization cites this paper.

GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:31:55.906712Z

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 57e59cd1-dfe9-492f-b79f-d81a8bceeacb · inbound

Numerically Optimizing Shortcuts to Adiabaticity: A Hybrid Control Strategy cites this paper.

Numerically Optimizing Shortcuts to Adiabaticity: A Hybrid Control Strategy Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-13T14:28:35.916911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1d3c71b-ce7b-40f6-9879-0ea2168f9d51 · inbound

T$^2$PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning cites this paper.

T$^2$PO: Uncertainty-Guided Exploration Control for Stable Multi-Turn Agentic Reinforcement Learning Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T05:45:22.135373Z

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 decffc5e-5dc7-49d2-9828-01f11c1e8ba2 · inbound

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost cites this paper.

Post Reasoning: Improving the Performance of Non-Thinking Models at No Cost Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Reference 244

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T20:06:09.969293Z

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 621aa321-98df-4cf1-8d43-93fc91d81e1d · inbound

Implicit Compression Regularization: Concise Reasoning via Internal Shorter Distributions in RL Post-Training cites this paper.

Implicit Compression Regularization: Concise Reasoning via Internal Shorter Distributions in RL Post-Training Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-11T04:36:00.027949Z

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 1bd3322e-6d0f-47ed-aae6-2d7d2b22e475 · inbound

AIPO: Learning to Reason from Active Interaction cites this paper.

AIPO: Learning to Reason from Active Interaction Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:06:31.370255Z

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 0b3bda08-724c-48d2-8257-5898f42dd122 · inbound

AIPO: Learning to Reason from Active Interaction cites this paper.

AIPO: Learning to Reason from Active Interaction Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-19T18:07:42.254204Z

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 0f8f4104-ab31-4fd6-a7e2-35d3b24f9e7b · inbound

LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models cites this paper.

LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:31:16.776375Z

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 9473f81e-b1c1-4bbf-b0f4-d52050b385e9 · inbound

CLORE: Content-Level Optimization for Reasoning Efficiency cites this paper.

CLORE: Content-Level Optimization for Reasoning Efficiency Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:51:08.161581Z

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 5f010621-c287-4485-9c86-3830856bcd32 · inbound

DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning cites this paper.

DVAO: Dynamic Variance-adaptive Advantage Optimization for Multi-reward Reinforcement Learning Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:33:59.250975Z

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 c6993438-c84d-4363-b3cd-d682e4cf7a33 · inbound

SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning cites this paper.

SLAT: Segment-Level Adaptive Trimming for Efficient CoT Reasoning Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-28T22:32:44.426841Z

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 d4422fa3-a96f-48cf-aaa0-9b986e39183d · inbound

CARE: Competence-Aware Reward Shaping for Adaptive Reasoning Length in Video-MLLMs cites this paper.

CARE: Competence-Aware Reward Shaping for Adaptive Reasoning Length in Video-MLLMs Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-07-04T03:29:31.421204Z

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 5c542a3d-e8a9-416e-a70b-6da1d6e9e7af · inbound

Beyond Penalizing Mistakes: Stabilizing Efficiency Training in Large Reasoning Models via Adaptive Correct-Only Rewards cites this paper.

Beyond Penalizing Mistakes: Stabilizing Efficiency Training in Large Reasoning Models via Adaptive Correct-Only Rewards Learn to Reason Efficiently with Adaptive Length-based Reward Shaping

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T09:19:43.883814Z

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.