Paper Citation Record · LEDGER

Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2409.12941.

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

pith.paper-citation-record.v1
2409.12941 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:09:13.017075Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T05:57:41.611759Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ed2ca68b-042e-41d5-bc2f-332a8fd42f93 · inbound

Measuring short-form factuality in large language models cites this paper.

Measuring short-form factuality in large language models Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:50.254884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d15e50ef-e078-4125-a7c7-98b07b7d8955 · inbound

Overcoming Vision Language Model Challenges in Diagram Understanding: A Proof-of-Concept with XML-Driven Large Language Models Solutions cites this paper.

Overcoming Vision Language Model Challenges in Diagram Understanding: A Proof-of-Concept with XML-Driven Large Language Models Solutions Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T04:09:13.017075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a12e8048-00ae-4568-ae0c-ec2cd483543b · inbound

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

From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-15T02:57:38.340817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7a1a2a5e-b9c2-4398-9886-1e2dd95a15e6 · inbound

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use cites this paper.

MedBrowseComp: Benchmarking Medical Deep Research and Computer Use Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T15:30:50.952602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba0e791c-8210-4b33-b1f6-9fe334c8d8d3 · inbound

QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning cites this paper.

QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:47:55.502010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d285042-5d91-4ed1-b71e-cfab85c71e36 · inbound

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework cites this paper.

ManuSearch: Democratizing Deep Search in Large Language Models with a Transparent and Open Multi-Agent Framework Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:39:14.888247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 331578aa-4376-4345-9ac5-68ab5bb9eb12 · inbound

MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models cites this paper.

MiniLongBench: The Low-cost Long Context Understanding Benchmark for Large Language Models Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:08:09.772386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c2d51e8-e042-4983-bce4-bb1dcb51c7fa · 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 Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T00:22:18.525352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c576a81f-04a7-480a-97b5-c78ffc0097b6 · inbound

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation cites this paper.

Engineering RAG Systems for Real-World Applications: Design, Development, and Evaluation Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T22:42:04.692551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbc23717-ed83-4041-a9d0-1bc309af2419 · inbound

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs cites this paper.

Towards Agentic RAG with Deep Reasoning: A Survey of RAG-Reasoning Systems in LLMs Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T18:00:41.356846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed63cab4-90af-4a68-b193-50a00b2191d7 · inbound

Kimi K2: Open Agentic Intelligence cites this paper.

Kimi K2: Open Agentic Intelligence Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-10T17:49:28.161561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 1c0c6023-6e3a-42d0-8237-85a416344917 · inbound

Characterizing Deep Research: A Benchmark and Formal Definition cites this paper.

Characterizing Deep Research: A Benchmark and Formal Definition Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T00:56:04.705727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11cd8f17-d9da-4a14-93b0-28399a1e1dfe · inbound

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents cites this paper.

SFR-DeepResearch: Towards Effective Reinforcement Learning for Autonomously Reasoning Single Agents Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T23:55:37.813481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6e6f308-c48e-4923-8db8-e70cfcc702be · inbound

Kimi Linear: An Expressive, Efficient Attention Architecture cites this paper.

Kimi Linear: An Expressive, Efficient Attention Architecture Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-13T23:49:11.184162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 600a5450-5dd1-482e-8402-18e29a3662df · inbound

EigentSearch-Q+: Enhancing Deep Research Agents with Structured Reasoning Tools cites this paper.

EigentSearch-Q+: Enhancing Deep Research Agents with Structured Reasoning Tools Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:15:55.607096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 9df7de3b-d77a-45d5-bc55-073d0f41cb21 · inbound

Known By Their Actions: Fingerprinting LLM Browser Agents via UI Traces cites this paper.

Known By Their Actions: Fingerprinting LLM Browser Agents via UI Traces Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:35:02.235239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation ca4940a2-acc6-4c83-b3e3-b619ae6feca2 · inbound

IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents cites this paper.

IdleSpec: Exploiting Idle Time via Speculative Planning for LLM Agents Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-22T06:24:40.498309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 705afeab-1245-46bb-85b3-776d54bea5ae · inbound

IntentKV: Cross-Turn Intent-Aware KV Cache Pruning for Agent Inference cites this paper.

IntentKV: Cross-Turn Intent-Aware KV Cache Pruning for Agent Inference Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 32

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:57:22.969913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 22802d2e-24cc-496e-b1f1-7626daf860b7 · inbound

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes cites this paper.

The Periodic Table of LLM Reasoning: A Structured Survey of Reasoning Paradigms, Methods, and Failure Modes Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 120

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:57:41.613239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 41c366f5-b66a-4bc1-81ef-4a31ed39da83 · inbound

Ko-WideSearch: A Korean Breadth-Search Benchmark for Exhaustive Set Enumeration by Web Agents cites this paper.

Ko-WideSearch: A Korean Breadth-Search Benchmark for Exhaustive Set Enumeration by Web Agents Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:55:58.902156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 8f8da839-f29a-41ba-8e11-cbcc8177a061 · inbound

SimpleWikiSearch: A Clean Offline Wikipedia Environment for Agentic Search cites this paper.

SimpleWikiSearch: A Clean Offline Wikipedia Environment for Agentic Search Fact, Fetch, and Reason: A Unified Evaluation of Retrieval-Augmented Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-02T07:39:39.206270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.