Paper Citation Record · LEDGER

CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.17043.

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

pith.paper-citation-record.v1
2401.17043 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:54:17.438366Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T05:13:56.501924Z

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 76b3c43f-bb10-4e1f-9b80-d69af86e0236 · inbound

Retrieval-Augmented Generation for Large Language Models: A Survey cites this paper.

Retrieval-Augmented Generation for Large Language Models: A Survey CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models

Reference 169

Resolution: verified exact; arxiv_id, observed 2026-05-24T05:13:56.504699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8646e1dd-b1d4-4112-abef-53150f40bcea · inbound

LightRAG: Simple and Fast Retrieval-Augmented Generation cites this paper.

LightRAG: Simple and Fast Retrieval-Augmented Generation CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models

Reference 46

Resolution: verified exact; arxiv_id, observed 2026-05-13T01:59:04.228757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3b9fe76b-2ebe-4080-a82f-4410323ddd54 · inbound

LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs -- No Silver Bullet for LC or RAG Routing cites this paper.

LaRA: Benchmarking Retrieval-Augmented Generation and Long-Context LLMs -- No Silver Bullet for LC or RAG Routing CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models

Reference 658

Resolution: unresolved; no resolver link, observed 2026-08-07T19:54:17.438366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c6eb347-2f37-4537-9335-642bbaf7b7dc · inbound

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation cites this paper.

InfoDeepSeek: Benchmarking Agentic Information Seeking for Retrieval-Augmented Generation CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T15:19:16.517440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76c42f4c-5896-4ad3-9ca7-f2359cc3961b · inbound

CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG Evaluation cites this paper.

CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG Evaluation CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:01:35.228435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5db368f3-b8e5-4f06-9b03-6a311ebec39b · inbound

Diverse And Private Synthetic Datasets Generation for RAG evaluation: A multi-agent framework cites this paper.

Diverse And Private Synthetic Datasets Generation for RAG evaluation: A multi-agent framework CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T16:07:57.739551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c908427-6a7b-440e-bdf3-0432d64c4105 · inbound

A Benchmark Construction and Evaluation Framework for Specialist Domains: Case Study on Defense-related Documents cites this paper.

A Benchmark Construction and Evaluation Framework for Specialist Domains: Case Study on Defense-related Documents CRUD-RAG: A Comprehensive Chinese Benchmark for Retrieval-Augmented Generation of Large Language Models

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T11:30:19.537720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.