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Paper Citation Record · LEDGER

ReasonIR: Training Retrievers for Reasoning Tasks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 32 inbound Pith citation observations for arXiv:2504.20595.

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

pith.paper-citation-record.v1
2504.20595 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

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 2026-08-12T06:34:41.77262+00:00

measured 32 of 32 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:49:39.558893Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

1
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4f9ee11f-bba8-4cb0-8167-b5e51ccd8087 · inbound

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

Rank-K: Test-Time Reasoning for Listwise Reranking ReasonIR: Training Retrievers for Reasoning Tasks

Reference 25

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no resolver link, observed 2026-08-07T15:40:11.034095Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:40:11.034095Z digest=sha256:a1bbf816bd26ee86097d6ed63e9f09514b29eaa5848d0f35df874f2e470edb91

Observation 12cd277e-be6b-45f1-af97-48f34c26ac61 · inbound

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective cites this paper.

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective ReasonIR: Training Retrievers for Reasoning Tasks

Reference 29

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no resolver link, observed 2026-08-07T15:30:15.327109Z

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source=arxiv_source observed=2026-08-07T15:30:15.327109Z digest=sha256:94d2d2819bd4e2010e679c9dd3a5117fc137583e9432783eaf21b0946336d16c

Observation 8bc66168-be97-4566-a60c-671d9c299e12 · inbound

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

Don't "Overthink" Passage Reranking: Is Reasoning Truly Necessary? ReasonIR: Training Retrievers for Reasoning Tasks

Reference 18

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no resolver link, observed 2026-08-07T14:54:52.963024Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:54:52.963024Z digest=sha256:541656a996d2b9fdf3745ad7f5e68be975783694387ab9d90799743b6ae2ecd0

Observation d0718ed5-9ecf-4fb3-bf0c-0a84f5357a22 · inbound

RaDeR: Reasoning-aware Dense Retrieval Models cites this paper.

RaDeR: Reasoning-aware Dense Retrieval Models ReasonIR: Training Retrievers for Reasoning Tasks

Reference 37

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no resolver link, observed 2026-08-07T14:35:19.926103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:35:19.926103Z digest=sha256:5db1de9ff833011a1de00682d6efb2a84cfb23514e6563030ee782b25a2aec15

Observation 54acbdd5-ff57-437a-bf15-671d44e95496 · 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 ReasonIR: Training Retrievers for Reasoning Tasks

Reference 16

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no resolver link, observed 2026-08-07T12:57:24.831143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:24.831143Z digest=sha256:fd26fe796b35b2f779d6feb7a6fd77c225a7ba2860e6281b4466df8d45f45cc2

Observation 55af5b55-7d72-43d4-a5d0-3ff9523a8324 · inbound

TongSearch-QR: Reinforced Query Reasoning for Retrieval cites this paper.

TongSearch-QR: Reinforced Query Reasoning for Retrieval ReasonIR: Training Retrievers for Reasoning Tasks

Reference 28

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no resolver link, observed 2026-08-07T04:07:19.413729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:19.413729Z digest=sha256:24aafd1b39a93bdfb13a18adbf43c5517f155302e8c114b9efc417f247aca500

Observation 8e68c949-5c62-4307-a669-871c4a5d737f · inbound

A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis cites this paper.

A Vision for Geo-Temporal Deep Research Systems: Towards Comprehensive, Transparent, and Reproducible Geo-Temporal Information Synthesis ReasonIR: Training Retrievers for Reasoning Tasks

Reference 40

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no resolver link, observed 2026-08-07T00:22:22.099598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:22:22.099598Z digest=sha256:4fecea7fe6e30f0f9124a92838ca85d152837c828417e671575f66953c356f4d

Observation a63b6cc6-3dbf-4f83-aca3-01da9eb6d602 · inbound

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks cites this paper.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks ReasonIR: Training Retrievers for Reasoning Tasks

Reference 29

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no resolver link, observed 2026-08-06T21:02:58.906885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:02:58.906885Z digest=sha256:de103f49f2631b226809bb062959b9333dd494a06376a5dce2273d9cfe6db18d

Observation 1ff5d32f-1676-476e-aba7-156e897276fc · inbound

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent cites this paper.

BrowseComp-Plus: A More Fair and Transparent Evaluation Benchmark of Deep-Research Agent ReasonIR: Training Retrievers for Reasoning Tasks

Reference 22

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no resolver link, observed 2026-08-05T22:46:12.572141Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:46:12.572141Z digest=sha256:d3be3175f50adb881348d1204333c468171ef8ca79664b71ec95f20aa6381448

Observation 8af53492-63a0-4c32-aba2-79905d185af4 · 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 ReasonIR: Training Retrievers for Reasoning Tasks

Reference 29

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no resolver link, observed 2026-08-05T13:36:38.612961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:36:38.612961Z digest=sha256:648780a25ff7a07541a1ddd2b7671b2b137ee3e6ec010fb511a008c46b825d16

Observation 21aebf3f-0839-44f9-91e5-7d6e19226ac6 · inbound

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval cites this paper.

Domain-Aware RAG: MoL-Enhanced RL for Efficient Training and Scalable Retrieval ReasonIR: Training Retrievers for Reasoning Tasks

Reference 22

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no resolver link, observed 2026-08-04T23:23:41.462145Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T23:23:41.462145Z digest=sha256:bfd2a1384310e3d14722eeb0c17c45577ce5ba57d9c4d05820efee02f0af48be

Observation fafb48e5-f1f5-433c-9424-54c705243b3e · inbound

Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval cites this paper.

Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval ReasonIR: Training Retrievers for Reasoning Tasks

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:49:21.304760Z digest=sha256:99d938749c304e9f21e28e938c1c53e25bdbd2b201fb3cf4bbdc195fa92bf608

Observation 0947da87-7537-41d8-aecc-534b916aa643 · inbound

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

Benchmarking Information Retrieval Models on Complex Retrieval Tasks ReasonIR: Training Retrievers for Reasoning Tasks

Reference 64

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no resolver link, observed 2026-08-04T22:37:58.236980Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:37:58.236980Z digest=sha256:9edc1f35f01754a0dbb0334dba61a7b9349b997c957983815c8c26da824d1ae5

Observation ba2f94ce-0149-4def-92a4-041cbdd75ab0 · inbound

With Argus Eyes: Assessing Retrieval Gaps via Uncertainty Scoring to Detect and Remedy Retrieval Blind Spots cites this paper.

With Argus Eyes: Assessing Retrieval Gaps via Uncertainty Scoring to Detect and Remedy Retrieval Blind Spots ReasonIR: Training Retrievers for Reasoning Tasks

Reference 272

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no resolver link, observed 2026-08-03T02:53:14.533944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T02:53:14.533944Z digest=sha256:20b2a3397ed312710ad69d0f0598e2c886f349f4b3cc47d8530515280a1f1ac4

Observation eabc716d-afe7-4812-9b8a-1dac92f830db · inbound

Revisiting Text Ranking in Deep Research cites this paper.

Revisiting Text Ranking in Deep Research ReasonIR: Training Retrievers for Reasoning Tasks

Reference 40

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no resolver link, observed 2026-08-02T21:06:40.105426Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:06:40.105426Z digest=sha256:7c3794cd156bd29ff4143967ef1f6c32830c3a9f5213fa9cd47478e318ddcec6

Observation 4363c1b2-52e8-486e-a753-f362dbf73116 · inbound

Procedural Knowledge at Scale Improves Reasoning cites this paper.

Procedural Knowledge at Scale Improves Reasoning ReasonIR: Training Retrievers for Reasoning Tasks

Reference 33

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verified exact
arxiv_id, observed 2026-05-13T22:08:20.424639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-13T22:04:54.727468Z digest=sha256:bf18ab7c1e203b30277e630037ecfc4c0660c56f3d35e7ccbd50eac7c9d0675e

Observation 8a894075-75ee-4dce-93e3-7d99e01f0bd5 · inbound

Procedural Knowledge at Scale Improves Reasoning cites this paper.

Procedural Knowledge at Scale Improves Reasoning ReasonIR: Training Retrievers for Reasoning Tasks

Reference 33

Resolution
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no resolver link, observed 2026-08-02T17:00:35.065894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T17:00:35.065894Z digest=sha256:591ff73ac826de61e3f50699d31c436379bfe9223be1c83521abf61304693c11

Observation 427ff98b-8394-46d0-a61f-6100082850b1 · inbound

Are LLM-Based Retrievers Worth Their Cost? An Empirical Study of Efficiency, Robustness, and Reasoning Overhead cites this paper.

Are LLM-Based Retrievers Worth Their Cost? An Empirical Study of Efficiency, Robustness, and Reasoning Overhead ReasonIR: Training Retrievers for Reasoning Tasks

Reference 46

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arxiv_id, observed 2026-05-13T17:23:02.674878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T17:19:40.630283Z digest=sha256:cd0f2ea459edde8a95f31e6df463ee33ff75bbd61ea75a1ecbc7959eccf239a8

Observation 4a979aa8-4362-47b8-8f34-3147c334779d · inbound

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

MARVEL: Multimodal Adaptive Reasoning-intensiVe Expand-rerank and retrievaL ReasonIR: Training Retrievers for Reasoning Tasks

Reference 29

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arxiv_id, observed 2026-05-11T06:00:58.221786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T17:51:16.675856Z digest=sha256:fa88b63203f2397b543f5d3b4be3a886e326820526cb8518dfc5f7f18ba56e7b

Observation cd411501-cc24-4a11-85d4-a6dd51847b07 · inbound

BRIDGE: Multimodal-to-Text Retrieval via Reinforcement-Learned Query Alignment cites this paper.

BRIDGE: Multimodal-to-Text Retrieval via Reinforcement-Learned Query Alignment ReasonIR: Training Retrievers for Reasoning Tasks

Reference 36

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arxiv_id, observed 2026-05-11T06:41:55.727374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T17:28:59.838565Z digest=sha256:d2a5506ee9527ebba00a91a2cd0f901b4392c8b7dd552369775412d4371bdf2d

Observation ce0586ce-c530-4e9b-91b6-881c66273bec · 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 ReasonIR: Training Retrievers for Reasoning Tasks

Reference 30

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arxiv_id, observed 2026-05-11T06:56:02.592893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-10T17:22:21.682534Z digest=sha256:72bab9bc16f176433e459faf61e4780d6ceeac9bf2250b69e132a164297d06c6

Observation a183691f-fc4a-474a-bd44-1562009277e7 · inbound

An Agentic Approach to Metadata Reasoning cites this paper.

An Agentic Approach to Metadata Reasoning ReasonIR: Training Retrievers for Reasoning Tasks

Reference 35

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arxiv_id, observed 2026-05-09T23:29:43.770765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-09T23:29:31.029111Z digest=sha256:8ed6c39054904f469396f75002145720971a9d7df7255c564e5f6c1121c4d37e

Observation bb7421bf-7eb3-4d50-b4e8-7fd77e46fd17 · inbound

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

A Survey of Reasoning-Intensive Retrieval: Progress and Challenges ReasonIR: Training Retrievers for Reasoning Tasks

Reference 62

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arxiv_id, observed 2026-05-11T14:56:05.217852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-09T20:53:05.314601Z digest=sha256:fa8e4422cd4c1be6457dba5cdd717614b4dc87ddaa751d2dece618e19a992816

Observation 2d03bda4-e9b1-42b5-beba-7356f8a98796 · inbound

FollowTable: A Benchmark for Instruction-Following Table Retrieval cites this paper.

FollowTable: A Benchmark for Instruction-Following Table Retrieval ReasonIR: Training Retrievers for Reasoning Tasks

Reference 37

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arxiv_id, observed 2026-05-11T15:47:15.066017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-09T19:13:05.189604Z digest=sha256:becc8bce5c8d6c6905cf74806553685e3c8ca6ffbe4c04ddb26e8fd5d23906fc

Observation 5d068090-4bc2-4a3a-a28a-0dac58ecfd22 · inbound

Context Convergence Improves Answering Inferential Questions cites this paper.

Context Convergence Improves Answering Inferential Questions ReasonIR: Training Retrievers for Reasoning Tasks

Reference 31

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arxiv_id, observed 2026-05-13T06:07:22.349931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T06:04:20.618526Z digest=sha256:5a01f88ac799e9ec3927e27f091d430f5561aab271e1e08e495aefa1fd585e8f

Observation 62eb4e2c-f442-4738-a308-70a79b9b9740 · inbound

LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving cites this paper.

LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving ReasonIR: Training Retrievers for Reasoning Tasks

Reference 17

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verified exact
arxiv_id, observed 2026-05-14T18:32:34.104422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-14T18:32:24.957899Z digest=sha256:dddaf1d96f1339f6a2a31a03d7af31340ca62efce28fd73e1f3667e25ad1a5c6

Observation cd3532b6-4272-44cd-adec-6579b4a7a28f · inbound

LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving cites this paper.

LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving ReasonIR: Training Retrievers for Reasoning Tasks

Reference 17

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verified exact
arxiv_id, observed 2026-05-15T03:09:44.165465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-15T03:05:04.196270Z digest=sha256:dca1b5d18181a1f04eba935048ed9e686eda231ee4af93c5ec1294108aad45bb

Observation 21332589-0ddd-4d4e-ab10-f891a520e4df · inbound

Granite Embedding Multilingual R2 Models cites this paper.

Granite Embedding Multilingual R2 Models ReasonIR: Training Retrievers for Reasoning Tasks

Reference 15

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metadata mismatch
arxiv_id, observed 2026-05-14T18:17:34.925637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-14T18:16:49.148303Z digest=sha256:b705b6fd1482eb06909e7e016f68d7d9b1933dd354fdca73592984fd4b7e720f

Observation 66409d10-2647-4ef9-8c92-aa3443422135 · inbound

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval cites this paper.

SHIFT: Self-reconstruction Harnesses Implicit Fine-grained Thinking for Retrieval ReasonIR: Training Retrievers for Reasoning Tasks

Reference 52

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:51:17.309481Z digest=sha256:85c792ac691e8dccf206da10d63c5f432e7a0b4b20c988ad6e2dac7d4baf81e0

Observation eef406be-e28a-4412-993e-8d4a6940d8a4 · inbound

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

TabRank: Chain-of-Thought Distillation for Table Re-Rankers ReasonIR: Training Retrievers for Reasoning Tasks

Reference 22

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no resolver link, observed 2026-08-01T03:15:29.060525Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T03:15:29.060525Z digest=sha256:5e1faa1e346ef66dbd4b6fc1132d56fa8a0acb9fca07fd117aaf2b1932d63a44

Observation f3775eb6-c352-426a-a27c-e9ac922bc5f3 · inbound

Antares: Foundation Models for Agentic Vulnerability Localization cites this paper.

Antares: Foundation Models for Agentic Vulnerability Localization ReasonIR: Training Retrievers for Reasoning Tasks

Reference 40

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no resolver link, observed 2026-08-04T07:50:50.685326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T07:50:50.685326Z digest=sha256:6c3f164df36eb85861ad5fd1ad85326f0d9517ac7965be0ac2ad8bbae101bc0f

Observation 81ed61d0-8fad-4eeb-9d0e-8ddbdf187007 · inbound

CodeGrep: An RL-Trained Retrieval Agent for LLM Coding Agents cites this paper.

CodeGrep: An RL-Trained Retrieval Agent for LLM Coding Agents ReasonIR: Training Retrievers for Reasoning Tasks

Reference 4

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no resolver link, observed 2026-08-07T21:49:39.558893Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:49:39.558893Z digest=sha256:11828df165e880453ecd3df01bafe8e0039befdf2c3930c68138f9a7163b645a