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Paper Citation Record · LEDGER

CRAG -- Comprehensive RAG Benchmark

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2406.04744.

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

pith.paper-citation-record.v1
2406.04744 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:38:49.181497Z

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

7
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 6af5e794-66ab-454c-921e-0577aeb7cb3d · inbound

Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems cites this paper.

Know Your RAG: Dataset Taxonomy and Generation Strategies for Evaluating RAG Systems CRAG -- Comprehensive RAG Benchmark

Reference 47

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no resolver link, observed 2026-08-12T05:59:37.181897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:59:37.181897Z digest=sha256:8e93208a6d087e837b221a7e8d8e94855d8a42353f4ee09757f6f7c718046961

Observation 594c925f-8442-46e3-a518-89f97c87f13e · inbound

Inference Scaling for Bridging Retrieval and Augmented Generation cites this paper.

Inference Scaling for Bridging Retrieval and Augmented Generation CRAG -- Comprehensive RAG Benchmark

Reference 30

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no resolver link, observed 2026-08-11T15:48:28.376816Z

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source=arxiv_source observed=2026-08-11T15:48:28.376816Z digest=sha256:6601f744f6e63529170fef6a99d2f5df580f6a0e18dd105b11f7259d21d62709

Observation 1eb92eb6-2187-4ce3-a7f0-5e446d87feae · inbound

CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation cites this paper.

CORD: Balancing COnsistency and Rank Distillation for Robust Retrieval-Augmented Generation CRAG -- Comprehensive RAG Benchmark

Reference 14

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no resolver link, observed 2026-08-11T12:09:42.972011Z

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source=arxiv_source observed=2026-08-11T12:09:42.972011Z digest=sha256:7bd5a12628f8e80e1387cb9bb5ea7e85c6f2335453e67f8cfcdedc05528a539a

Observation 29be246e-9a30-4ad4-b892-aa64b5642650 · inbound

HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases cites this paper.

HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases CRAG -- Comprehensive RAG Benchmark

Reference 19

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no resolver link, observed 2026-08-11T10:46:47.662008Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:46:47.662008Z digest=sha256:f86051599cc0143706395817ed11c6d7743161210070e8c41ff2763e51d023df

Observation 0fcdd5c3-73e3-469a-a3a6-b741816e5b6f · inbound

MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems cites this paper.

MTRAG: A Multi-Turn Conversational Benchmark for Evaluating Retrieval-Augmented Generation Systems CRAG -- Comprehensive RAG Benchmark

Reference 40

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no resolver link, observed 2026-08-10T21:56:58.752186Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:56:58.752186Z digest=sha256:f5e2f29f1013b9e0e17839bdcd4de59f7bba966b5ed807bffed4bea3fbc98065

Observation fb071010-e69c-4dc5-beaf-38d8f7b88ca4 · inbound

Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions cites this paper.

Large Language Models, Knowledge Graphs and Search Engines: A Crossroads for Answering Users' Questions CRAG -- Comprehensive RAG Benchmark

Reference 54

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no resolver link, observed 2026-08-10T20:57:29.199013Z

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source=pdf_text observed=2026-08-10T20:57:29.199013Z digest=sha256:ca0bbf5a2ed9fe2544651e71ebe640179bde5bbe7e5f720aca8ba4970deb0f1e

Observation 668a4ea3-b800-4d54-9ec7-666234fe7de9 · inbound

Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMs cites this paper.

Dialogue Benchmark Generation from Knowledge Graphs with Cost-Effective Retrieval-Augmented LLMs CRAG -- Comprehensive RAG Benchmark

Reference 48

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no resolver link, observed 2026-08-10T19:35:27.938893Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T19:35:27.938893Z digest=sha256:efbd30f2b823cb87c18b5c914df101e83487eec93e6ff95fa22afb58d5550d60

Observation f1bcf714-7d98-4333-8263-52cce4989032 · inbound

ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation cites this paper.

ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation CRAG -- Comprehensive RAG Benchmark

Reference 43

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no resolver link, observed 2026-08-10T17:47:46.190878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T17:47:46.190878Z digest=sha256:3a7dd5daa0417161a2ff60f86218e20827f761e56838cbbe65fd9b15020ba4b2

Observation b01b69e4-0a6b-49d4-833d-391e8b0a428a · inbound

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding cites this paper.

APE: Faster and Longer Context-Augmented Generation via Adaptive Parallel Encoding CRAG -- Comprehensive RAG Benchmark

Reference 32

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no resolver link, observed 2026-08-08T19:28:43.617686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:28:43.617686Z digest=sha256:e68f4a47a61597784a21ccc68ac4eb50161a1a8ad7bd933dac481735b0c302b1

Observation 287f1808-c00f-465b-ae5f-21dd81bc3c73 · inbound

Level-Navi Agent: A Framework and benchmark for Chinese Web Search Agents cites this paper.

Level-Navi Agent: A Framework and benchmark for Chinese Web Search Agents CRAG -- Comprehensive RAG Benchmark

Reference 17

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no resolver link, observed 2026-08-11T11:17:48.482205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:17:48.482205Z digest=sha256:085f7cbe6a77a90be0399bd856f5c466fdec459c45933d61753c5bcb70721fbf

Observation 4d46a182-df56-4d52-8266-5c9aa723d128 · inbound

The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models cites this paper.

The Great Nugget Recall: Automating Fact Extraction and RAG Evaluation with Large Language Models CRAG -- Comprehensive RAG Benchmark

Reference 53

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no resolver link, observed 2026-08-16T11:38:49.181497Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:38:49.181497Z digest=sha256:635e3d93efe68490e9e7de0e92cf470b96340093c8081cd70abc8a1f3dadda1f

Observation 60cce34f-dfef-4bfb-a339-929dd03b08c3 · inbound

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review cites this paper.

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review CRAG -- Comprehensive RAG Benchmark

Reference 80

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verified exact
arxiv_id, observed 2026-05-15T02:57:38.347248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T02:57:37.873567Z digest=sha256:ad872df669b48d17122bade99823a2c8e0d5a50e6783caf15de84a8d46556c4d

Observation 99c2ea8c-678c-4857-8c58-56dff351cb75 · inbound

Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets cites this paper.

Can LLMs Be Trusted for Evaluating RAG Systems? A Survey of Methods and Datasets CRAG -- Comprehensive RAG Benchmark

Reference 54

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no resolver link, observed 2026-08-16T05:52:50.594834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:52:50.594834Z digest=sha256:74550c2b6060cc4ab6e82268dd98bfc51277c59fe0d47f95f0e786cde5815f8b

Observation 0120c2b2-b5e2-435d-968c-8deb9ae8b200 · inbound

POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models cites this paper.

POISONCRAFT: Practical Poisoning of Retrieval-Augmented Generation for Large Language Models CRAG -- Comprehensive RAG Benchmark

Reference 44

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no resolver link, observed 2026-08-15T22:43:06.070052Z

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source=pdf_text observed=2026-08-15T22:43:06.070052Z digest=sha256:b6aa7a2780f7c2d7adccbe5ecbfc1047d78e63f80bcb350dcf17ef32dd8c7797

Observation 453dfa8e-19e0-4171-b688-c5506294ce34 · inbound

TARGET: Benchmarking Table Retrieval for Generative Tasks cites this paper.

TARGET: Benchmarking Table Retrieval for Generative Tasks CRAG -- Comprehensive RAG Benchmark

Reference 38

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no resolver link, observed 2026-08-15T21:30:18.871545Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:30:18.871545Z digest=sha256:f66833e3d931a3e372c43f03c9d3818214b0057a1dc13fafbf70a66446268aba

Observation d5294252-475f-471f-8dac-589823b062df · inbound

syftr: Pareto-Optimal Generative AI cites this paper.

syftr: Pareto-Optimal Generative AI CRAG -- Comprehensive RAG Benchmark

Reference 54

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no resolver link, observed 2026-08-07T13:59:50.459606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:50.459606Z digest=sha256:804f2884d19faa2684a6bf8571646a89478d8068dd0dd63d2fca3b859ea6ed7e

Observation 3c0e4c43-0d7d-4dcb-9529-2ad2f433b79c · inbound

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment cites this paper.

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment CRAG -- Comprehensive RAG Benchmark

Reference 91

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no resolver link, observed 2026-08-05T10:34:46.822448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T10:34:46.822448Z digest=sha256:992243b181ab6bf300ffe17ca3a1ccc3730c10cc23e47c11bb033d75c6f2bc36

Observation dd90ed67-fff3-4a81-8b1a-591b46028348 · inbound

KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering cites this paper.

KERAG: Knowledge-Enhanced Retrieval-Augmented Generation for Advanced Question Answering CRAG -- Comprehensive RAG Benchmark

Reference 2023

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no resolver link, observed 2026-08-05T06:02:10.472186Z

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source=pdf_text observed=2026-08-05T06:02:10.472186Z digest=sha256:b9c26d4c4a28ca6adfd56a0caa1b3d81dd330cd3ea64887721e48e54fe33e113

Observation ce49d483-b003-4e76-a296-80c9ce0b3067 · inbound

Predict the Retrieval! Test time adaptation for Retrieval Augmented Generation cites this paper.

Predict the Retrieval! Test time adaptation for Retrieval Augmented Generation CRAG -- Comprehensive RAG Benchmark

Reference 34

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no resolver link, observed 2026-08-03T10:04:19.150973Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T10:04:19.150973Z digest=sha256:ef893cf70b7648380c022b371c5b23f1ecde770cd06c6ed8a38a3d7cfd83125f

Observation 7c711c9c-7c9b-4b64-951a-98a7172bb13f · inbound

Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook cites this paper.

Distributional Open-Ended Evaluation of LLM Cultural Value Alignment Based on Value Codebook CRAG -- Comprehensive RAG Benchmark

Reference 53

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no resolver link, observed 2026-07-14T20:48:19.312615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T20:48:19.312615Z digest=sha256:1cf3ce87853aedfbd2a441eac97bb36610c777a95d63948f5330e474753204de

Observation 35b90dc3-6c27-4630-b941-9fffb17328ee · inbound

Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models cites this paper.

Illocutionary Explanation Planning for Source-Faithful Explanations in Retrieval-Augmented Language Models CRAG -- Comprehensive RAG Benchmark

Reference 53

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verified exact
arxiv_id, observed 2026-05-15T10:39:56.816140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T10:39:11.866574Z digest=sha256:3aaf2f07e5c6ba53b8286f5c0375a5d5ca3358b59c2f51ee1b4f5f77a5c05e62

Observation 3d4646f7-471b-476d-8bc6-4df023de6828 · inbound

RAG-DIVE: A Dynamic Approach for Multi-Turn Dialogue Evaluation in Retrieval-Augmented Generation cites this paper.

RAG-DIVE: A Dynamic Approach for Multi-Turn Dialogue Evaluation in Retrieval-Augmented Generation CRAG -- Comprehensive RAG Benchmark

Reference 38

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arxiv_id, observed 2026-05-16T09:17:40.151113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-16T09:13:55.204404Z digest=sha256:febc51713168c4762ede6f1ee032f2fbea4cb196d15862dce13a526687f63122

Observation 476d7289-a649-4724-a524-d88da1a47d77 · inbound

Association Is Not Similarity: Learning Corpus-Specific Associations for Multi-Hop Retrieval cites this paper.

Association Is Not Similarity: Learning Corpus-Specific Associations for Multi-Hop Retrieval CRAG -- Comprehensive RAG Benchmark

Reference 4

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arxiv_id, observed 2026-05-15T22:00:21.002554Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-15T22:00:12.332167Z digest=sha256:33802d6c757c5dca8f67d63b97e18af8dc9683c1ff485c8cbdead7348c7db7ad

Observation 65f5d2ae-d910-4ff8-97ef-eb7544f1c6fe · inbound

CacheRAG: A Semantic Caching System for Retrieval-Augmented Generation in Knowledge Graph Question Answering cites this paper.

CacheRAG: A Semantic Caching System for Retrieval-Augmented Generation in Knowledge Graph Question Answering CRAG -- Comprehensive RAG Benchmark

Reference 33

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arxiv_id, observed 2026-05-12T08:46:26.160828Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-07T13:49:52.951086Z digest=sha256:2d0a91f3ace9c6a06e8b569cbc8219b2d4c6db4e3f7905d1feb2529f269cb49e

Observation b7a58033-d99f-4fd8-908a-7586bf3667f8 · inbound

CacheRAG: A Semantic Caching System for Retrieval-Augmented Generation in Knowledge Graph Question Answering cites this paper.

CacheRAG: A Semantic Caching System for Retrieval-Augmented Generation in Knowledge Graph Question Answering CRAG -- Comprehensive RAG Benchmark

Reference 31

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arxiv_id, observed 2026-07-01T08:35:33.679344Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-01T08:29:56.762672Z digest=sha256:1b50661266c8fe206f529706746adea57e23e1d9c466a6e7188f0ae1aa40115f

Observation 0c6e3fe6-6d70-42c4-97bd-3dda1c06585c · inbound

Executable Schema Contracts: From Automatic Ingestion to Multi-Source Retrieval cites this paper.

Executable Schema Contracts: From Automatic Ingestion to Multi-Source Retrieval CRAG -- Comprehensive RAG Benchmark

Reference 2

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metadata mismatch
arxiv_id, observed 2026-07-02T08:36:47.827653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-28T05:58:25.764539Z digest=sha256:c50666c10017076be4efb09eb274c41074772f84532cdea9df04cf6f759924b7

Observation 8c49d304-24b3-4463-9e52-5378c1572818 · inbound

Little Brains, Big Feats: Exploring Compact Language Models cites this paper.

Little Brains, Big Feats: Exploring Compact Language Models CRAG -- Comprehensive RAG Benchmark

Reference 39

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arxiv_id, observed 2026-06-30T06:24:19.358634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T06:18:11.792566Z digest=sha256:8343177ff4004048f354ac279a7dc30b212a1b72c1de2063d15f7bfe4e5a5bdb

Observation e28a16f0-e3b7-4821-bd47-74eb4274b3a1 · inbound

Always-OnAgents:A Survey of Persistent Memory, State, and Governance in LLMAgents cites this paper.

Always-OnAgents:A Survey of Persistent Memory, State, and Governance in LLMAgents CRAG -- Comprehensive RAG Benchmark

Reference 47

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metadata mismatch
arxiv_id, observed 2026-07-01T15:15:48.367889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T03:44:51.320606Z digest=sha256:8c3ef6f5ff4a2cdf004f1df23abf3d3d352fd4b4fd00cdb90e12a9e0b6c67b3e

Observation a17cdbb3-b928-464a-aaf1-c367b2f1d998 · inbound

EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning cites this paper.

EvidentialRAG: Quantifying and Mitigating Information Conflict in Multi-Source Retrieval-Augmented Generation via Evidential Deep Learning CRAG -- Comprehensive RAG Benchmark

Reference 14

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no resolver link, observed 2026-07-14T11:20:09.244925Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T11:20:09.244925Z digest=sha256:e2c007d42b2a23cd1f6ea3cef0e940413df69a819adc6c3566459b4b0173a874

Observation 43836596-31a1-453c-8e37-28cea0a906bf · inbound

BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms cites this paper.

BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms CRAG -- Comprehensive RAG Benchmark

Reference 71

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no resolver link, observed 2026-08-01T14:35:29.984858Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:35:29.984858Z digest=sha256:5eb2286f5d3f8c2ea6e258088ec8a626e06c9b9e7a3689f9e2442beec13950e5

Observation 20290a4a-7acd-4bfd-9520-f6c4330ef833 · inbound

BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms cites this paper.

BM25 Wins at Scale: A Scaling Study of Retrieval-Augmented Generation Paradigms CRAG -- Comprehensive RAG Benchmark

Reference 71

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no resolver link, observed 2026-08-03T01:45:04.183044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T01:45:04.183044Z digest=sha256:a126ecf5cb8151cc8920ab9e8a65d934cf70975da56d387749615c45f8c3a21f

Observation 928f39f1-145c-4d55-8787-8d17ba914d47 · inbound

LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented Generation cites this paper.

LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented Generation CRAG -- Comprehensive RAG Benchmark

Reference 2021

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no resolver link, observed 2026-08-15T15:29:09.036179Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:29:09.036179Z digest=sha256:e7bcf69839359022942e3bfab9c4c3b161248a82532291b50963469f4153635c

Observation b723d179-826a-4f5f-b1e6-67a4452514f1 · inbound

GABench: A Comprehensive Benchmark for Evaluating LLM Agents on Graph Analysis Tasks cites this paper.

GABench: A Comprehensive Benchmark for Evaluating LLM Agents on Graph Analysis Tasks CRAG -- Comprehensive RAG Benchmark

Reference 54

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no resolver link, observed 2026-08-04T22:55:34.022856Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:55:34.022856Z digest=sha256:0706c0492ba25a512db9d81538ff8715de6a2f2ebfa441d99f028bf880443cd0

Observation 0ac45e1f-8045-4121-930e-def489e75e2b · inbound

DataSpace: Benchmarking Data Agents for Verifiable Analytics over Heterogeneous Workspaces cites this paper.

DataSpace: Benchmarking Data Agents for Verifiable Analytics over Heterogeneous Workspaces CRAG -- Comprehensive RAG Benchmark

Reference 52

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no resolver link, observed 2026-08-15T14:54:16.090081Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T14:54:16.090081Z digest=sha256:621208f67091c02be8c2a9463ef391c487921c84f827a7e3ae478c6c59174c5e