Paper Citation Record · LEDGER

An Empirical Study on Eliciting and Improving R1-like Reasoning Models

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2503.04548.

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

pith.paper-citation-record.v1
2503.04548 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:02:42.759310Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:27:36.567324Z

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 58656352-dd46-4280-83b0-75243c5d2710 · inbound

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation cites this paper.

LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T13:02:23.397708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f33de9cf-eec2-4453-83db-1f09bebf594e · inbound

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

DAPO: An Open-Source LLM Reinforcement Learning System at Scale An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:35:13.444477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 06469bab-0143-4fcb-82dd-0f9ab749777c · inbound

OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles cites this paper.

OpenVLThinker: Complex Vision-Language Reasoning via Iterative SFT-RL Cycles An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-19T06:59:03.369257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 76b6808a-bca6-4a3f-96b9-3f5d8dfea00a · inbound

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs cites this paper.

ReTool: Reinforcement Learning for Strategic Tool Use in LLMs An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-13T18:42:39.082992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 4381c426-e715-40cb-b99e-6afc554e7039 · inbound

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning cites this paper.

Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement Learning An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:46:56.774430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation b59bb1c4-1110-49ca-b5cf-2e347eb94675 · inbound

Generative AI Act II: Test Time Scaling Drives Cognition Engineering cites this paper.

Generative AI Act II: Test Time Scaling Drives Cognition Engineering An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T12:02:42.759310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cba7db72-ecca-47c0-ab50-daa341a04b18 · inbound

SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM cites this paper.

SRPO: A Cross-Domain Implementation of Large-Scale Reinforcement Learning on LLM An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:55:52.288360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29297c44-ea38-4cf0-8954-a3cb1074da32 · inbound

WebThinker: Empowering Large Reasoning Models with Deep Research Capability cites this paper.

WebThinker: Empowering Large Reasoning Models with Deep Research Capability An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:14:25.443648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation fbfe2200-79d0-4f9b-9cbc-d99b11d55d45 · inbound

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law cites this paper.

A Survey of Slow Thinking-based Reasoning LLMs using Reinforced Learning and Inference-time Scaling Law An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T00:48:17.354301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1335672c-77d4-48c8-8684-31cb153b6295 · inbound

Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models cites this paper.

Long-Short Chain-of-Thought Mixture Supervised Fine-Tuning Eliciting Efficient Reasoning in Large Language Models An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-15T23:56:46.208553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d42b39d2-6305-404b-bafe-abd1e7e22b27 · inbound

Learning from Peers in Reasoning Models cites this paper.

Learning from Peers in Reasoning Models An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T22:13:07.983704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1026facc-1e92-45cb-be99-89ba8001c0c8 · inbound

DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models cites this paper.

DiagnosisArena: Benchmarking Diagnostic Reasoning for Large Language Models An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T15:42:20.985769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b8875ab-b37b-43d1-add0-a48501d7948a · inbound

Prior Prompt Engineering for Reinforcement Fine-Tuning cites this paper.

Prior Prompt Engineering for Reinforcement Fine-Tuning An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 1901

Resolution: unresolved; no resolver link, observed 2026-08-07T15:43:00.380468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6f741f9-565d-4385-8f11-ea6c15b61ef1 · inbound

GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents cites this paper.

GUI-G1: Understanding R1-Zero-Like Training for Visual Grounding in GUI Agents An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:16:01.048333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5f52244-f3d1-4478-92df-621630b3f6d6 · inbound

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning cites this paper.

Tool-Star: Empowering LLM-Brained Multi-Tool Reasoner via Reinforcement Learning An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T15:06:03.057637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe80a669-587b-42f0-83c4-ecb28f4aebd1 · inbound

DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation cites this paper.

DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:58:12.795266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 198ecfa4-6606-4742-af44-4607ce100a41 · inbound

LARES: Latent Reasoning for Sequential Recommendation cites this paper.

LARES: Latent Reasoning for Sequential Recommendation An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:15.857633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 622a08fe-2874-4516-9be6-0009b06f3410 · inbound

Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning cites this paper.

Stepwise Reasoning Checkpoint Analysis: A Test Time Scaling Method to Enhance LLMs' Reasoning An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:45:16.258476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b20eca8-405a-43c7-b82f-25ee47b0b245 · inbound

How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning cites this paper.

How Much Backtracking is Enough? Exploring the Interplay of SFT and RL in Enhancing LLM Reasoning An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T12:32:21.206536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1dd7f1c-5a02-496d-920e-2483e7447a1f · inbound

Towards Effective Code-Integrated Reasoning cites this paper.

Towards Effective Code-Integrated Reasoning An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T12:25:26.696704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91706d69-cc3c-4652-96bf-4e1f55e08da2 · inbound

ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests cites this paper.

ICPC-Eval: Probing the Frontiers of LLM Reasoning with Competitive Programming Contests An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:35:02.142063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a14cc001-f48a-4c0f-801b-fff9e23f21f7 · inbound

Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency cites this paper.

Wait, We Don't Need to "Wait"! Removing Thinking Tokens Improves Reasoning Efficiency An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:19:15.802751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7a66c95-c231-4ac5-800a-9fb4f645469d · inbound

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning cites this paper.

Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:09:42.527494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66a3de8d-8fc8-4511-9668-9911376d2011 · inbound

CoRT: Code-integrated Reasoning within Thinking cites this paper.

CoRT: Code-integrated Reasoning within Thinking An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T04:46:20.731461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c297cfb4-f2b0-4ecc-91df-2dc7fee1cf47 · inbound

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation cites this paper.

Act-With-Think: Chunk Auto-Regressive Modeling for Generative Recommendation An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:40:48.214783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d6b4f97-6902-456c-ba54-d30bb5150131 · inbound

Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning cites this paper.

Reasoning-Driven Retrosynthesis Prediction with Large Language Models via Reinforcement Learning An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T14:55:03.899694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a097a0b-09ff-4ebf-8733-eafab4a5893d · inbound

Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models cites this paper.

Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T20:21:05.350521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f1e3433-c858-49cf-852f-f44ed4fbd56d · inbound

Why Does Reasoning Length Converge? Unveiling the Underfitting-Overfitting Trade-off in Chain-of-Thought cites this paper.

Why Does Reasoning Length Converge? Unveiling the Underfitting-Overfitting Trade-off in Chain-of-Thought An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T10:31:37.763822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b17cbcda-a229-4ac6-a328-5428da7d0df3 · inbound

Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework cites this paper.

Sticker-TTS: Learn to Utilize Historical Experience with a Sticker-driven Test-Time Scaling Framework An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T05:45:02.361736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c756cda-6e36-440b-b588-c5ad41ddeee5 · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:02:25.155358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 628b4a99-10af-4df0-843a-96075de8680e · 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 An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:26:28.245340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 7a135bed-7053-4874-aa72-a95d0b31e19b · 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 An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T15:48:29.373053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6ece2d3-1975-4510-b898-b35c9b2453fa · inbound

EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget cites this paper.

EEPO: Exploration-Enhanced Policy Optimization via Sample-Then-Forget An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-18T08:56:08.702299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation a9173ba0-c924-44b1-b186-7d8790d0b7f9 · inbound

How You Begin is How You Reason: Driving Exploration in RLVR via Prefix-Tuned Priors cites this paper.

How You Begin is How You Reason: Driving Exploration in RLVR via Prefix-Tuned Priors An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:26:19.275213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6e29e227-7d4b-4b70-bf5f-5f7909f88ea4 · inbound

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning cites this paper.

PruneTIR: Inference-Time Tool Call Pruning for Effective yet Efficient Tool-Integrated Reasoning An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T06:01:23.360130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6e0ee3e9-a6f6-4d9c-8ee7-5edacf66493d · inbound

TimelineReasoner: Advancing Timeline Summarization with Large Reasoning Models cites this paper.

TimelineReasoner: Advancing Timeline Summarization with Large Reasoning Models An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:38:01.053722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 28301dbc-933c-438e-98be-bb5d6bead1b3 · inbound

SAGE: Shaping Anchors for Guided Exploration in RLVR of LLMs cites this paper.

SAGE: Shaping Anchors for Guided Exploration in RLVR of LLMs An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 33

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T20:13:44.094363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9a52c77f-62d9-4e31-bdcd-bf21981882e7 · inbound

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data cites this paper.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.066083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 02371df3-e049-457f-a350-f324403fbc61 · inbound

Trust Region On-Policy Distillation cites this paper.

Trust Region On-Policy Distillation An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 289

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T20:56:13.161760Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 6f19636a-2dcb-4fd8-9d09-89c43a4236a4 · inbound

GUI-AC: Enhancing Continual Learning in GUI Agents cites this paper.

GUI-AC: Enhancing Continual Learning in GUI Agents An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:27:36.568792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9ea71d90-980c-4f64-9ae2-54906282b8b8 · inbound

GUI-AC: Enhancing Continual Learning in GUI Agents cites this paper.

GUI-AC: Enhancing Continual Learning in GUI Agents An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T14:27:05.589465Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1bd2f8b-efcb-4583-ba4e-60f18ced6894 · inbound

LaRec: Unleashing LLM-based Latent Reasoning for Generative Recommendation cites this paper.

LaRec: Unleashing LLM-based Latent Reasoning for Generative Recommendation An Empirical Study on Eliciting and Improving R1-like Reasoning Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T15:30:24.581995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.