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Paper Citation Record · LEDGER

BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 46 inbound Pith citation observations for arXiv:2407.12883.

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

pith.paper-citation-record.v1
2407.12883 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 46 of 46 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:12:01.402612Z

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

3
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 a01b2c4f-641b-4ba4-b8a6-7681c782745c · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 300

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arxiv_id, observed 2026-05-13T02:47:07.683161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:ebee6e7982fce5ee62e54404e4344581400b79beec98c764e2843fa2a06a4fcf

Observation a5341e66-48c4-408f-a4c8-50edbc7fd1b6 · inbound

Drowning in Documents: Consequences of Scaling Reranker Inference cites this paper.

Drowning in Documents: Consequences of Scaling Reranker Inference BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 25

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source=pdf_text observed=2026-08-12T18:13:42.444675Z digest=sha256:634fbd99643a017e44f5f75bcd929dfb9a4f0b92b59270ff9a6e02bb367e955a

Observation 64cacebb-8e84-4f76-bf9e-ef8591b7f53d · inbound

LLMs are Also Effective Embedding Models: An In-depth Overview cites this paper.

LLMs are Also Effective Embedding Models: An In-depth Overview BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 161

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source=pdf_text observed=2026-08-11T13:59:01.920186Z digest=sha256:558b9054acb665081692b3fe50e670e95e3b76ca08bb89a4ad64d85d388c18c1

Observation 1be7e85b-b8ca-417e-8a6d-5fcf1b47bd99 · inbound

MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering cites this paper.

MRAG: A Modular Retrieval Framework for Time-Sensitive Question Answering BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 47

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source=arxiv_source observed=2026-08-11T11:24:01.294417Z digest=sha256:e7567091d742862f49d162db007dc915dca3b1cc0e02eb2cc5a6c07c82908128

Observation 7b20af57-3b5e-451c-b6ec-0ee325bbdd0b · inbound

O1 Embedder: Let Retrievers Think Before Action cites this paper.

O1 Embedder: Let Retrievers Think Before Action BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 46

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T12:25:12.335319Z digest=sha256:e809ea1da6a9cf7184b229fcb901c22dbe204c284083dbd9861caa132db698d7

Observation ae23e004-903d-47f2-9a9d-69a06261039e · inbound

Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks cites this paper.

Toward Generalizable Evaluation in the LLM Era: A Survey Beyond Benchmarks BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 260

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:12:01.402612Z digest=sha256:9d4e357774203926c9f3ab375b26d05688c35c46e4fe9b124eddaf7f56898454

Observation 8ddecc75-24ba-4488-837f-106d4677ba07 · inbound

A Reasoning-Focused Legal Retrieval Benchmark cites this paper.

A Reasoning-Focused Legal Retrieval Benchmark BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 36

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no resolver link, observed 2026-08-15T23:44:37.575867Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:44:37.575867Z digest=sha256:b0270000dc511a07ea35209f2e49200fb2e9446fd91ac6c91de94243e4a2576b

Observation 210b77af-d5c0-4675-a004-4bc94d01512d · inbound

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

Rank-K: Test-Time Reasoning for Listwise Reranking BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 28

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:40:11.273656Z digest=sha256:33b804b7cd34b503f2f3926e4d99b94d967ec932b3f6bc9fd43bc02633bf653e

Observation d2a5fa58-c251-4947-a415-e97247487e26 · inbound

R2MED: A Benchmark for Reasoning-Driven Medical Retrieval cites this paper.

R2MED: A Benchmark for Reasoning-Driven Medical Retrieval BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 12

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verified exact
arxiv_id, observed 2026-05-22T13:54:53.067953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-22T13:52:15.835379Z digest=sha256:a8ced220a664c92ada85dbd35b2291cbdc8c18707772c1491c5c41aba2501854

Observation da130949-e377-41e5-96b4-6229738f9296 · inbound

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

Diffusion vs. Autoregressive Language Models: A Text Embedding Perspective BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 35

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no resolver link, observed 2026-08-07T15:30:15.785938Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:30:15.785938Z digest=sha256:4eeb3bdb0a7201fad5483749435e5aca5390836d8499f8198a7d7ee7337af489

Observation 40c30b49-eec6-4969-854d-52de4fd85359 · inbound

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

RaDeR: Reasoning-aware Dense Retrieval Models BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 41

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no resolver link, observed 2026-08-07T14:35:19.939313Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:35:19.939313Z digest=sha256:f84d6ab4ae4c09955ddf339c91e64932201e591f68f599f80a02210136ff04ff

Observation 3608c238-937c-4e7d-85e2-0c785f42a213 · inbound

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

REARANK: Reasoning Re-ranking Agent via Reinforcement Learning BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 27

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no resolver link, observed 2026-08-07T14:07:14.344080Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:07:14.344080Z digest=sha256:274e62498248e3060fd948a05ce1403c1864ca4bbd1a87ee402883511ab38409

Observation 61a9c35f-f15d-4201-80bf-2c6a6eea0265 · inbound

Towards Better Instruction Following Retrieval Models cites this paper.

Towards Better Instruction Following Retrieval Models BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 35

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no resolver link, observed 2026-08-07T13:35:51.154936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:35:51.154936Z digest=sha256:efe91e0705d21505b93542564d05302cd4b1824032868c5fd524945ff78e73fa

Observation 6ed4aeb8-0c86-485b-8b58-1df5f45f9214 · 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 BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 18

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no resolver link, observed 2026-08-07T12:57:25.045421Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:57:25.045421Z digest=sha256:48281bca04117dc1aa30146740ae0181c4ac2e384969c50f98db44a63df90351

Observation 63ba4e54-cadb-438b-a1e8-32b69801bafe · inbound

MIR: Methodology Inspiration Retrieval for Scientific Research Problems cites this paper.

MIR: Methodology Inspiration Retrieval for Scientific Research Problems BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 2024

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no resolver link, observed 2026-08-07T12:14:39.816485Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:14:39.816485Z digest=sha256:3aecedf80cf8d2da9ed04142afa3e28e2e0146f1084124c7cde5ed47dfd8c19e

Observation ba3518b1-829c-449e-a7d3-5b2d0aacc020 · inbound

SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing cites this paper.

SUCEA: Reasoning-Intensive Retrieval for Adversarial Fact-checking through Claim Decomposition and Editing BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 36

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no resolver link, observed 2026-08-07T10:45:03.879065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:45:03.879065Z digest=sha256:41e2e8e6e1b0361a9196b8fc0b555f41787ae4847a276a0ddf6cc337374d08c6

Observation d3780a6e-980c-4584-a8f6-92443517221d · inbound

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration cites this paper.

When Models Know More Than They Can Explain: Quantifying Knowledge Transfer in Human-AI Collaboration BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 46

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:20:09.902235Z digest=sha256:f05f0860aade449a3e3334cafacb630ec1d43408407c2197022f50c491669e45

Observation 408772b3-3fc4-4bcc-b479-0378d3128908 · inbound

Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning cites this paper.

Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 96

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no resolver link, observed 2026-08-07T05:18:30.056028Z

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source=pdf_text observed=2026-08-07T05:18:30.056028Z digest=sha256:517657eb43d4c42f57488aa4f4d4aa488fd22f18a3fa870849223c54184e4be2

Observation 8daa8b37-876a-4c04-a5da-b4ef2651a924 · inbound

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

TongSearch-QR: Reinforced Query Reasoning for Retrieval BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 30

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no resolver link, observed 2026-08-07T04:07:19.420264Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:07:19.420264Z digest=sha256:2ebd145c449bbd5c309c11e2acfbb055618c7b08766ef1e09e22425b7f28bd4f

Observation c981847c-f97e-4393-b973-e4a116ffd8e6 · 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 BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 21

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no resolver link, observed 2026-08-15T19:59:03.000849Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:59:03.000849Z digest=sha256:d9ac7e590c52083957278bf5ee9bb5702b3027bcb18c77617dc1b771215d70cf

Observation 6296f120-742f-42db-8315-913497ade1a6 · inbound

Towards a Large Physics Benchmark cites this paper.

Towards a Large Physics Benchmark BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 8

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no resolver link, observed 2026-08-06T12:34:57.607139Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:34:57.607139Z digest=sha256:3bda90bbb1c4c32d5a0453ea1842b86c1bf677422bb1d1061a36fc70776e2aa8

Observation db6bbbb3-4c4a-422a-af04-67596c8b7ca0 · inbound

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval cites this paper.

Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 20

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no resolver link, observed 2026-08-05T13:50:11.584107Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:50:11.584107Z digest=sha256:d768f2e2f7c7f1db56b3b2459b42658b83722a771cae05dfd3140cd323dfc873

Observation de9f739e-5aea-46f6-a558-cb9b8454cb9b · inbound

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? cites this paper.

Can Multi-turn Self-refined Single Agent LMs with Retrieval Solve Hard Coding Problems? BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 2024

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no resolver link, observed 2026-08-05T13:31:26.897102Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:31:26.897102Z digest=sha256:fa7c38361784c583a02f760a223fa3d5662073fbfb29d7d428ee02928f3b66f9

Observation 3f7a1d54-6fd7-4fa8-a816-6246ba0c7519 · 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 BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 32

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no resolver link, observed 2026-08-15T16:41:16.639726Z

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source=pdf_text observed=2026-08-15T16:41:16.639726Z digest=sha256:6bfd37f0e6be3747256bf8cccacfefbe7d2f3b14e0c8e3e475d80e73faa36b5d

Observation a6174e56-1fdf-4adf-a024-8c1edd46b9bd · inbound

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

Beyond Sequential Reranking: Reranker-Guided Search Improves Reasoning Intensive Retrieval BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 21

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no resolver link, observed 2026-08-04T22:49:21.424867Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:49:21.424867Z digest=sha256:f46f06985c365b994997e57cec7c67cadd0e675d65b3d7493dc30f5a4747bece

Observation 6de64786-a00f-4876-9164-d2040d15acf1 · inbound

BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback cites this paper.

BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 32

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no resolver link, observed 2026-08-15T15:51:24.468017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T15:51:24.468017Z digest=sha256:d9fb9636120595aa95dcf130f125982e54943afc7d4fe71e012804c3268c23dc

Observation 2992265e-56b4-433c-b760-cca24f3eb372 · 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 BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 35

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arxiv_id, observed 2026-05-17T23:42:13.049596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T23:41:47.052697Z digest=sha256:82253d9ea20764552bcfeda94279f6f178397e1edaf3e7f889a1e07a4dad44a3

Observation 8b76459a-7448-4669-8e0e-629c9a56054f · inbound

Refine Thought: A Test-Time Inference Method for Embedding Model Reasoning cites this paper.

Refine Thought: A Test-Time Inference Method for Embedding Model Reasoning BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 17

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no resolver link, observed 2026-08-04T09:59:48.296083Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:59:48.296083Z digest=sha256:71361d0d1d16e2e7667f647a44fb5afc8c9593c2166b45e42dc4d8c410c4c562

Observation 769c1037-5c8c-4765-8467-d104bee70518 · inbound

Where Relevance Emerges: A Layer-Wise Study of Internal Attention for Zero-Shot Re-Ranking cites this paper.

Where Relevance Emerges: A Layer-Wise Study of Internal Attention for Zero-Shot Re-Ranking BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 21

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metadata mismatch
arxiv_id, observed 2026-05-15T19:26:30.779347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T19:25:34.262890Z digest=sha256:f710962eadfadf2f0b58807ec7507c13c123047463dc40c47fa18a64b5a5f9af

Observation f2823bb6-0eda-45aa-9d17-7c994f0675a5 · 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 BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 48

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verified exact
arxiv_id, observed 2026-05-13T17:23:02.633303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T17:19:40.630283Z digest=sha256:04b208dcc6ebb71a894e64c942c9435fd088c324a59adf1abe329af5b2db71c0

Observation 6d08fee8-f348-41e0-ac83-32e08c2b7ee3 · inbound

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

MARVEL: Multimodal Adaptive Reasoning-intensiVe Expand-rerank and retrievaL BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 30

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arxiv_id, observed 2026-05-11T06:00:58.397169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T17:51:16.675856Z digest=sha256:9b1c5986eadfb3039ffed35ab8223ad8c03d4cb8622d3ebe50634d9ef50a8c2e

Observation c9ae0ece-1138-4303-819b-942613cf0383 · inbound

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

BRIDGE: Multimodal-to-Text Retrieval via Reinforcement-Learned Query Alignment BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 38

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arxiv_id, observed 2026-05-11T06:41:56.250731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T17:28:59.838565Z digest=sha256:857e1d5bcbd7231672059f01aa4b9c25e200ceef6712bbfc3c4c38f601b9cc58

Observation d3198ff2-5a1f-4456-a617-b42f41f07dad · 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 BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 31

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metadata mismatch
arxiv_id, observed 2026-05-11T06:56:02.614094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T17:22:21.682534Z digest=sha256:5f77cd166ad27faa90906991808f9ae4ea2d6d84dc723c44a901d7e46aeedb21

Observation 715d3505-050d-4676-8bf5-9546881a91d6 · inbound

An Agentic Approach to Metadata Reasoning cites this paper.

An Agentic Approach to Metadata Reasoning BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 38

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verified exact
arxiv_id, observed 2026-05-09T23:29:43.766415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-09T23:29:31.029111Z digest=sha256:cf0ccf893e16b4e10e7a302f4c2f7ea171d6129a5dcbc059b1553d677dfda95f

Observation 68ede70f-aaad-45c4-b000-eedde21b2c15 · inbound

AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases cites this paper.

AgenticRAG: Agentic Retrieval for Enterprise Knowledge Bases BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:21:08.770540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-08T12:10:01.748436Z digest=sha256:9b14f06f2abf12da49a84f297d08395bbfa5e5c64f962bfd2c2ca9a7d6919276

Observation 4297bd38-7f82-4076-a6c3-faf6c630ac92 · inbound

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

LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T18:32:34.074503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-14T18:32:24.957899Z digest=sha256:8dd65c9b380c6a3e3b431ce7a736354761dea2ab91f0c744b6bcbfc98362f914

Observation 3bf3cab2-1ef8-4e57-bc45-07ad4a78627e · inbound

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

LeanSearch v2: Global Premise Retrieval for Lean 4 Theorem Proving BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 19

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T03:09:44.208360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T03:05:04.196270Z digest=sha256:1f6ff2a2edeb7cc2c9c88290e3ae78787f83e647be2bf420a9afaafb8d00227f

Observation b847d6c9-9670-4a23-9690-0d3f8492ca74 · inbound

RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents cites this paper.

RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 25

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T21:43:59.833520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T21:24:11.882268Z digest=sha256:4926c23bdc9525ff11d80d42d8d51fa4b78f9ff19d352dc15f077fca184d37df

Observation 876bc229-0d52-4f85-80cf-336345665124 · inbound

RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents cites this paper.

RICE-PO: Turning Retrieval Interactions into Credit Signals for Reasoning Agents BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-04T05:01:25.954748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:01:25.954748Z digest=sha256:0c2ebf4442c5957c637a57e19730c2f1eab3832b0262d1741b1ed19acd9b5920

Observation 31a6e9f5-5b26-4dde-bfaa-ec4ac83e2959 · inbound

Xetrieval: Mechanistically Explaining Dense Retrieval cites this paper.

Xetrieval: Mechanistically Explaining Dense Retrieval BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:23:12.866770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-29T07:18:17.049765Z digest=sha256:8d81b805378344963ad660ffa11fd4d5663a62d3ae240b6338d2c0de8e929b97

Observation 92d94faa-f579-4ff1-8a4e-4e0806f51178 · inbound

Compact Geometric Representations of Hierarchies cites this paper.

Compact Geometric Representations of Hierarchies BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T23:29:02.753895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T22:12:38.245812Z digest=sha256:d8b4ef4d8b18c9fa8a3d3ef69ac8906cc192bbb09f4ce371e27a5c47e46a07eb

Observation 6020ba0a-93ed-4bbd-8ad3-134511a08c1b · inbound

HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions cites this paper.

HAKARI-Bench: A Lightweight Benchmark for Comparing Retrieval Architectures and Efficiency Settings under Unified Conditions BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 128

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T11:59:51.200272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-26T07:22:34.547816Z digest=sha256:b0930fb98a5b4906288fc1fa22c8c6c0623926920eba4bd1fed429f13159ad25

Observation 13fd1110-b4a9-41ac-a124-10984c6fa1bc · inbound

CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval cites this paper.

CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T11:24:38.802874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T11:07:31.861143Z digest=sha256:32e6f47932c16fc750bfdb5d8c355f41572574c31b3d1e788aa0ea26f3f31aea

Observation 43c4e520-9a85-43b1-9f52-5d64ec59b5d3 · inbound

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation cites this paper.

Contrastive Parameter Disentanglement for Multi-modal Remote Sensing Image Generation BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 44

Resolution
unresolved
no resolver link, observed 2026-07-30T16:18:09.321341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T16:18:09.321341Z digest=sha256:29fd16a2f76ebf97c2d50ca84456f53d716ff22f958162f4a1e352b97ba4b437

Observation 7fb3e493-60ff-4384-be79-69702d6bc62a · inbound

Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding? cites this paper.

Generative Embedding Benchmark: How Much Information Survives in a Dense Embedding? BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T17:26:11.617640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:26:11.617640Z digest=sha256:099fb195ac7471b9ee876dd7ba4edc8ffcaaf74613e4bd0172e4e87cd36a1dd8

Observation 32edaf2f-3fb8-410c-b794-2902e73d00ac · inbound

The Embedder's Dilemma: LLMs Are Better, but at What Cost? cites this paper.

The Embedder's Dilemma: LLMs Are Better, but at What Cost? BRIGHT: A Realistic and Challenging Benchmark for Reasoning-Intensive Retrieval

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T21:37:01.314760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:37:01.314760Z digest=sha256:7fa0b795f2356b0741418a60ab59fd66f554a4b36eca52bea0f3f27ff5c2981f