Paper Citation Record · LEDGER

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

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 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

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Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

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

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:02:23.397708Z

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

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Outbound references

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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

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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

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

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

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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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+00:00.

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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+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

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

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

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

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

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

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Unavailable: canonical work link unavailable.