Paper Citation Record · LEDGER

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks

As of 24 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 3 inbound Pith citation observations for arXiv:2507.01297.

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

pith.paper-citation-record.v1
2507.01297 v2

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:03:01.965491Z

measured 73 of 73 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T17:00:34.295538Z

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

70 of 70 outbound references displayed

verified exact1
verified fuzzy28
unresolved40
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 0c09fe62-60af-4301-897f-7d3ef762258d · outbound

This paper cites Retrieval augmented language model pre-training.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Retrieval augmented language model pre-training

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.967922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1e79132d-e38d-45b4-87c1-3cb95fbc46d5 · outbound

This paper cites Dense passage retrieval for open-domain question answering.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Dense passage retrieval for open-domain question answering

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.960305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4e71dafe-eebe-43ea-a56c-e4d3279cde3e · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Retrieval-augmented generation for knowledge-intensive nlp tasks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.953218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 267fdde8-8411-4cf6-bf30-0dd89bed84d4 · outbound

This paper cites The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus

Reference 4

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Source-reported events for the cited work

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Observation a9f717d4-a281-4bc7-9085-0fd51513585d · outbound

This paper cites Improving language models by retrieving from trillions of tokens.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Improving language models by retrieving from trillions of tokens

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:57.154060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b02a56b5-db5d-4bdd-9cce-0438ac5b68f9 · outbound

This paper cites REPLUG: Retrieval-Augmented Black-Box Language Models.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks REPLUG: Retrieval-Augmented Black-Box Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:57.240328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34ae58d8-e811-471b-b696-471f49e44890 · outbound

This paper cites Retrieval-based language models and applications.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Retrieval-based language models and applications

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.941959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c3d4bb66-2cb0-4766-a349-f1b35a60d06b · outbound

This paper cites Scaling retrieval-based language models with a trillion-token datastore.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Scaling retrieval-based language models with a trillion-token datastore

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.935360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d90c1b11-0ec1-404f-987c-a5c8660e03e5 · outbound

This paper cites Toutanova, Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Toutanova, Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.928379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d06c1c7c-1527-43cd-87e2-30d9ecc1d0e0 · outbound

This paper cites Latent retrieval for weakly supervised open domain question answering.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Latent retrieval for weakly supervised open domain question answering

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.921831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 593ad5af-212d-4f3c-bf5e-8b31cd8a9940 · outbound

This paper cites TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.914994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2d41b9b6-21b4-4575-8ad1-593d0cb94630 · outbound

This paper cites Kilt: a benchmark for knowledge intensive language tasks.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Kilt: a benchmark for knowledge intensive language tasks

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.907512Z

Source-reported events for the cited work

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Observation 7b36469b-345b-44c8-aeb4-f4a87785fc66 · outbound

This paper cites Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Can Retriever-Augmented Language Models Reason? The Blame Game Between the Retriever and the Language Model

Reference 13

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Source-reported events for the cited work

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Observation 02aef129-7d15-4fc2-9844-9793f4cb9772 · outbound

This paper cites Great Memory, Shallow Reasoning: Limits of $k$NN-LMs.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Great Memory, Shallow Reasoning: Limits of $k$NN-LMs

Reference 14

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Source-reported events for the cited work

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Observation 5d61fe8f-3021-42c9-b197-a1000a65f56d · outbound

This paper cites Search-o1: Agentic Search-Enhanced Large Reasoning Models.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Search-o1: Agentic Search-Enhanced Large Reasoning Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:57.946086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be4008e2-05ff-4ffc-b3d4-44489d49e042 · outbound

This paper cites Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:58.014419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c3e1012b-c11c-4af8-9012-02148c80e910 · outbound

This paper cites Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:58.092078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f94ddbd-35d1-4043-8e99-d0a3cc0e73c4 · outbound

This paper cites ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks ReSearch: Learning to Reason with Search for LLMs via Reinforcement Learning

Reference 18

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Source-reported events for the cited work

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Observation b0198b72-00ee-436f-9a32-d7fa6d022ec6 · outbound

This paper cites R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks R1-Searcher: Incentivizing the Search Capability in LLMs via Reinforcement Learning

Reference 19

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Source-reported events for the cited work

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Observation 36f5341b-84e6-4057-8771-d0dde25fb063 · outbound

This paper cites ZeroSearch: Incentivize the Search Capability of LLMs without Searching.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks ZeroSearch: Incentivize the Search Capability of LLMs without Searching

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:02:58.300557Z

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Observation 8e4922f7-d65c-4fd4-923d-62e65d5c6b34 · outbound

This paper cites Measuring massive multitask language understanding, 2021.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Measuring massive multitask language understanding, 2021

Reference 21

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Observation 6832d0d8-a3b5-4d7b-a5c6-454e13d67236 · outbound

This paper cites Mmlu-pro: A more robust and challenging multi-task language understanding benchmark, 2024.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Mmlu-pro: A more robust and challenging multi-task language understanding benchmark, 2024

Reference 22

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Observation 0b9e7c7f-545f-4092-9c7f-0d9591ae5476 · outbound

This paper cites Agieval: A human-centric benchmark for evaluating foundation models, 2023.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Agieval: A human-centric benchmark for evaluating foundation models, 2023

Reference 23

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Observation 8144ac1c-5d80-4e2e-83c7-dcdd2b1441e5 · outbound

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Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Unresolved cited work

Reference 24

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Source-reported events for the cited work

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Observation 397a354d-6317-488c-a8fe-287410a999d0 · outbound

This paper cites Measuring mathematical problem solving with the math dataset, 2021.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Measuring mathematical problem solving with the math dataset, 2021

Reference 25

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Source-reported events for the cited work

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Observation 8c43029f-eea0-455a-b31e-0087e574fb0f · outbound

This paper cites Billion-scale similarity search with gpus.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Billion-scale similarity search with gpus

Reference 26

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Observation 2d31170b-d0d8-48ea-af28-7d8425f199b1 · outbound

This paper cites Diskann: Fast accurate billion-point nearest neighbor search on a single node.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Diskann: Fast accurate billion-point nearest neighbor search on a single node

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.873688Z

Source-reported events for the cited work

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Observation 2d302cac-c6e4-4032-93a6-e91aa241191f · outbound

This paper cites Knn-lm does not improve open-ended text generation.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Knn-lm does not improve open-ended text generation

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.866940Z

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

This paper cites ReasonIR: Training Retrievers for Reasoning Tasks.

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

Reference 29

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This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 30

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This paper cites Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Peters, Abhilasha Ravichander, Kyle Richardson, Zejiang Shen, Emma Strubell, Nishant Subramani, Oyvind Tafjord, Pete Walsh, Luke Zettlemoyer, Noah A

Reference 31

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This paper cites Datacomp-lm: In search of the next generation of training sets for language models.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Datacomp-lm: In search of the next generation of training sets for language models

Reference 32

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This paper cites The fineweb datasets: Decanting the web for the finest text data at scale.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks The fineweb datasets: Decanting the web for the finest text data at scale

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.848364Z

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Observation 6c851a9c-2933-42b9-98b8-beeab9b6f083 · outbound

This paper cites Ra-dit: Retrieval-augmented dual instruction tuning.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Ra-dit: Retrieval-augmented dual instruction tuning

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.841479Z

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Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Unresolved cited work

Reference 35

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This paper cites Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, and Vaishaal Shankar.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Dimakis, Yair Carmon, Achal Dave, Ludwig Schmidt, and Vaishaal Shankar

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.831098Z

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This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 37

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This paper cites Smith, Luke Zettlemoyer, Pang Wei Koh, Hannaneh Hajishirzi, Ali Farhadi, and Sewon Min.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Smith, Luke Zettlemoyer, Pang Wei Koh, Hannaneh Hajishirzi, Ali Farhadi, and Sewon Min

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.820344Z

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Observation e044df60-7d0b-4554-ad6d-d824f01548f1 · outbound

This paper cites Redpajama: An open source recipe to reproduce llama training dataset, April 2023.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Redpajama: An open source recipe to reproduce llama training dataset, April 2023

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.797032Z

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Observation 1d8bb3de-6ea5-435a-9bb9-7aa1e0273168 · outbound

This paper cites Openwebmath: An open dataset of high-quality mathematical web text, 2023.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Openwebmath: An open dataset of high-quality mathematical web text, 2023

Reference 40

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This paper cites Naturalproofs: Mathematical theorem proving in natural language, 2021.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Naturalproofs: Mathematical theorem proving in natural language, 2021

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.611615Z

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This paper cites peS2o (Pretraining Efficiently on S2ORC) Dataset.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks peS2o (Pretraining Efficiently on S2ORC) Dataset

Reference 42

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Source-reported events for the cited work

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This paper cites Pubmed baseline 2023 repository.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Pubmed baseline 2023 repository

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.395076Z

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Observation 713aaaaa-5893-4611-bb55-08e8f12a5190 · outbound

This paper cites Product quantization for nearest neighbor search.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Product quantization for nearest neighbor search

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:05.182345Z

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Observation e9f5bc2c-144f-4c99-833b-2f1d96bd58a7 · outbound

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Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Unsupervised Dense Information Retrieval with Contrastive Learning

Reference 45

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Observation dc4dc427-7fa5-4c6f-a052-9e02914070a5 · outbound

This paper cites Generative representational instruction tuning.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Generative representational instruction tuning

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:04.999291Z

Source-reported events for the cited work

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Observation 4bc361fc-d3b6-40af-9ef7-cffd97a60747 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Chain-of-thought prompting elicits reasoning in large language models

Reference 47

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Observation eaee399a-979c-448d-b139-8b266588c86b · outbound

This paper cites Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Reference 48

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Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Long-Context LLMs Meet RAG: Overcoming Challenges for Long Inputs in RAG

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T21:03:00.481681Z

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Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Unresolved cited work

Reference 50

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Observation 36df33e4-950c-458c-89d4-170e1a103c6a · outbound

This paper cites The Llama 3 Herd of Models.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks The Llama 3 Herd of Models

Reference 51

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Observation b7bd2e30-19df-47d8-bc65-dbf5b2e3b0b9 · outbound

This paper cites Let’s verify step by step.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Let’s verify step by step

Reference 52

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This paper cites Mistral 7B.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Mistral 7B

Reference 53

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Observation b56e3bc4-11b1-42b5-8eb5-4bd4524283b5 · outbound

This paper cites Qwen3 Technical Report.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Qwen3 Technical Report

Reference 54

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Observation 7f8db68b-dac8-4313-b96b-58e29d30c8ea · outbound

This paper cites Qwq: Reflect deeply on the boundaries of the unknown, november 2024.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Qwq: Reflect deeply on the boundaries of the unknown, november 2024

Reference 55

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This paper cites WebThinker: Empowering Large Reasoning Models with Deep Research Capability.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks WebThinker: Empowering Large Reasoning Models with Deep Research Capability

Reference 56

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This paper cites Elastic ChatNoir: Search Engine for the ClueWeb and the Common Crawl.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Elastic ChatNoir: Search Engine for the ClueWeb and the Common Crawl

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:04.258029Z

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Observation 0ba8aeae-8c9a-49b5-b032-a98ae3f697f6 · outbound

This paper cites Beautiful soup documentation.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Beautiful soup documentation

Reference 58

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Observation 5fdfc9be-2448-4550-85d1-b0107501628a · outbound

This paper cites olmocr: Unlocking trillions of tokens in pdfs with vision language models, 2025.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks olmocr: Unlocking trillions of tokens in pdfs with vision language models, 2025

Reference 59

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation caea113c-11d7-4659-aaaf-f2a50977e030 · outbound

This paper cites Crawl4ai: Open-source llm friendly web crawler & scraper.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Crawl4ai: Open-source llm friendly web crawler & scraper

Reference 60

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Unavailable: canonical work link unavailable.

Observation b3da89ce-8d9c-421e-9b7f-b8e19b38aa07 · outbound

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Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Unsupervised dense information retrieval with contrastive learning, 2022

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:03.788552Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7ca884bf-4182-452b-ad96-d309f3572341 · outbound

This paper cites cloudflare.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks cloudflare

Reference 62

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Observation a8fc7c08-c9cc-48af-86fd-e148b7b97d50 · outbound

This paper cites \$ 108 \\text{ cm}^3 \$ 3.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks \$ 108 \\text{ cm}^3 \$ 3

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:03.406836Z

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Observation 5f49561a-b2f1-4984-9bed-6723a0b3d60f · outbound

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Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks \$ 521.5 \\text{ cm}^3 \$ 23

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:03.273912Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 78a9d6de-f404-40b0-b88e-f6d1405e8e48 · outbound

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Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Unresolved cited work

Reference 65

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:03:03.095448Z

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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This paper cites about 13,333 BTUs 31a.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks about 13,333 BTUs 31a

Reference 66

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Observation e4bff852-75cf-4c55-8ddf-b175e0c02e53 · outbound

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Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Unresolved cited work

Reference 67

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:03:02.803765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 43045804-1bf2-452b-9798-cdac4b66c5dc · outbound

This paper cites an unresolved cited work.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Unresolved cited work

Reference 68

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No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 81d10342-fa14-4f53-9e3b-c2d169bbfd3e · outbound

This paper cites an unresolved cited work.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Unresolved cited work

Reference 69

Resolution: unresolved; raw_fallback, observed 2026-08-06T21:03:02.574163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 77c07154-b54f-4fae-a21a-20bb32b6b93a · outbound

This paper cites Pauli matrices with two spacetime indices\.

Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks Pauli matrices with two spacetime indices\

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:03:02.444529Z

Source-reported events for the cited work

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Pith citing papers

Observation e2cb905f-760b-4261-be49-0dc211403335 · inbound

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Procedural Knowledge at Scale Improves Reasoning Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks

Reference 20

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Observation 3fdb0795-c259-4c95-b329-63611ff7a6c7 · inbound

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Procedural Knowledge at Scale Improves Reasoning Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks

Reference 20

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56263bbd-7517-41cf-9684-bf250831582c · inbound

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PIXELRAG: Web Screenshots Beat Text for Retrieval-Augmented Generation Frustratingly Simple Retrieval Improves Challenging, Reasoning-Intensive Benchmarks

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:34:37.701915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.