Paper Citation Record · LEDGER

Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2503.06034.

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

pith.paper-citation-record.v1
2503.06034 v1

Coverage vector

measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:59:03.024836Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:06:48.410299Z

Reference resolution

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External citation measurements

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Outbound references

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Pith citing papers

Observation 9f067771-3887-4b5f-b26d-40da7dc8c1f6 · inbound

Rank-K: Test-Time Reasoning for Listwise Reranking cites this paper.

Rank-K: Test-Time Reasoning for Listwise Reranking Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T15:40:12.195943Z

Source-reported events for the cited work

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Observation 6c480737-9f3c-4502-b18a-e2aa38d4cd33 · inbound

Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary? cites this paper.

Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary? Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:54.743298Z

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Observation 9a046267-0fb6-4f94-9061-a14fe4bd8d06 · inbound

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning cites this paper.

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:15.608784Z

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Observation d86b7bbf-0226-48f0-b2ef-faba15fc369b · inbound

From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval cites this paper.

From Token to Action: State Machine Reasoning to Mitigate Overthinking in Information Retrieval Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T12:57:25.896630Z

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Observation 2f092779-c71c-4252-97c3-7069f5184840 · inbound

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning cites this paper.

Training LLMs for EHR-Based Reasoning Tasks via Reinforcement Learning Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:13.873620Z

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Observation 7d9409e4-9ece-4681-8c85-1c7ee58d92cf · inbound

ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking cites this paper.

ProRank: Prompt Warmup via Reinforcement Learning for Small Language Models Reranking Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-19T12:02:16.824032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 00a78ba1-214d-418e-94b6-6f7ae07c333f · inbound

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval cites this paper.

MM-R5: MultiModal Reasoning-Enhanced ReRanker via Reinforcement Learning for Document Retrieval Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:04.899044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7904f97-138f-4145-b64e-4b9890cd36d2 · inbound

InsertRank: LLMs can reason over BM25 scores to Improve Listwise Reranking cites this paper.

InsertRank: LLMs can reason over BM25 scores to Improve Listwise Reranking Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T19:59:03.024836Z

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Observation f9ee91a2-05e5-409d-8480-c21463d506d9 · inbound

RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition cites this paper.

RAGtifier: Evaluating RAG Generation Approaches of State-of-the-Art RAG Systems for the SIGIR LiveRAG Competition Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:11.921656Z

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Observation f68cf35d-38a0-4765-9982-3c985a212225 · inbound

RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation cites this paper.

RAG in the Wild: On the (In)effectiveness of LLMs with Mixture-of-Knowledge Retrieval Augmentation Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T17:54:29.315693Z

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Observation 2f3ed4f2-e34d-4c47-b802-b17276c7b831 · inbound

ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking cites this paper.

ERank: Fusing Supervised Fine-Tuning and Reinforcement Learning for Effective and Efficient Text Reranking Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-05T13:36:40.866271Z

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Observation c301e8a1-12a4-4f95-8b35-dc1f3da75f67 · inbound

Lighting the Way for BRIGHT: Reproducible Baselines with Anserini, Pyserini, and RankLLM cites this paper.

Lighting the Way for BRIGHT: Reproducible Baselines with Anserini, Pyserini, and RankLLM Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 39

Resolution: malformed identifier; no resolver link, observed 2026-08-15T16:41:16.667633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebf58274-23e7-4d63-a4c9-aaa6c600a468 · inbound

Benchmarking Information Retrieval Models on Complex Retrieval Tasks cites this paper.

Benchmarking Information Retrieval Models on Complex Retrieval Tasks Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-04T22:37:58.353677Z

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Observation 592cbb22-38df-4dd1-80ce-4f975876a0a5 · inbound

GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs cites this paper.

GroupRank: A Groupwise Paradigm for Effective and Efficient Passage Reranking with LLMs Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T23:42:13.059244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aefe8415-a39f-4d91-b00e-48b4ca82394d · inbound

Rich-Media Re-Ranker: A User Satisfaction-Driven LLM Re-ranking Framework for Rich-Media Search cites this paper.

Rich-Media Re-Ranker: A User Satisfaction-Driven LLM Re-ranking Framework for Rich-Media Search Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-16T07:30:44.226088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 43dbc3e3-94ad-4a05-a205-c61e2a239791 · inbound

MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning cites this paper.

MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-02T19:23:18.207537Z

Source-reported events for the cited work

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Observation 196aba9f-a49d-46ee-97d9-23daa040bdd8 · inbound

MARVEL: Multimodal Adaptive Reasoning-intensiVe Expand-rerank and retrievaL cites this paper.

MARVEL: Multimodal Adaptive Reasoning-intensiVe Expand-rerank and retrievaL Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 39

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:00:58.297962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 48bea02b-353b-4d80-85df-588af56b2d43 · inbound

HIVE: Query, Hypothesize, Verify An LLM Framework for Multimodal Reasoning-Intensive Retrieval cites this paper.

HIVE: Query, Hypothesize, Verify An LLM Framework for Multimodal Reasoning-Intensive Retrieval Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 43

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:56:02.486771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation af7f07d4-3a46-4741-9bbc-cb15d2b33dcd · inbound

Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking cites this paper.

Rethinking the Necessity of Adaptive Retrieval-Augmented Generation through the Lens of Adaptive Listwise Ranking Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T08:27:51.813065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 254bc2d5-df1a-4500-823b-c6335088eee5 · inbound

Reproducing Adaptive Reranking for Reasoning-Intensive IR cites this paper.

Reproducing Adaptive Reranking for Reasoning-Intensive IR Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:01:29.370069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 014ce13e-0f3f-47d7-9e3b-428f6d897684 · inbound

A Survey of Reasoning-Intensive Retrieval: Progress and Challenges cites this paper.

A Survey of Reasoning-Intensive Retrieval: Progress and Challenges Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 100

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:56:05.263052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4fe14167-5a33-457b-8dd3-c4e700577f67 · inbound

F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking cites this paper.

F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 76

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T19:52:52.338049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 36270390-b04d-4a1d-a04a-943dce1ce3b0 · inbound

Layer-wise Token Compression for Efficient Document Reranking cites this paper.

Layer-wise Token Compression for Efficient Document Reranking Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-21T03:03:55.874283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b92d481c-4f57-4e74-b31b-b16076d5b75c · inbound

Layer-wise Token Compression for Efficient Document Reranking cites this paper.

Layer-wise Token Compression for Efficient Document Reranking Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:21:21.571195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 65c2bdbb-fc3e-4f82-a2d1-3944f319e651 · inbound

LRanker: LLM Ranker for Massive Candidates cites this paper.

LRanker: LLM Ranker for Massive Candidates Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T10:33:18.798958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0f8f9e83-6dcc-47d0-bb30-ff044fc9b21a · inbound

Whole-Pool Setwise Reranking with Long-Context Language Models cites this paper.

Whole-Pool Setwise Reranking with Long-Context Language Models Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-02T00:56:25.532453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bc9ca08e-7be8-4934-ae9e-31b1dedb0351 · inbound

Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models cites this paper.

Dynamic Infilling Anchors for Format-Constrained Generation in Diffusion Large Language Models Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:06:48.411706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation db265419-95c1-4902-b25b-cf961df03aa6 · inbound

Tool-Adaptive LLM Reranker cites this paper.

Tool-Adaptive LLM Reranker Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-14T10:52:11.987091Z

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Observation cccf7b3d-afdf-4895-95df-53c82702cab4 · inbound

CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search cites this paper.

CORE: A Unified Cascaded Ordinal Relevance Estimation Framework for E-commerce Search Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-07-31T15:30:44.721023Z

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Observation f6a2e4d4-3d43-4f28-b319-426ae7944692 · inbound

TabRank: Chain-of-Thought Distillation for Table Re-Rankers cites this paper.

TabRank: Chain-of-Thought Distillation for Table Re-Rankers Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T03:15:29.487522Z

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Unavailable: canonical work link unavailable.

Observation dcd18336-5306-48b5-9cf0-b10f2085c974 · inbound

Structure-aware Relative Policy Optimization for Ranking cites this paper.

Structure-aware Relative Policy Optimization for Ranking Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-01T03:01:25.036117Z

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Unavailable: canonical work link unavailable.

Observation 694bd5f8-b4bb-4cc7-b3c3-1d845ec81275 · inbound

Retrieval-Constrained Policy Optimization for Attack Technique Extraction from Cyber Threat Intelligence cites this paper.

Retrieval-Constrained Policy Optimization for Attack Technique Extraction from Cyber Threat Intelligence Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-10T21:04:22.314874Z

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Unavailable: canonical work link unavailable.