Paper Citation Record · LEDGER

RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

As of 22 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2407.11005.

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

pith.paper-citation-record.v1
2407.11005 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-22T06:31:00.163083+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T11:20:09.244925Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-11T01:37:42.765684Z

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 0b231fab-f587-4839-937b-a8823a34ff19 · inbound

Retrieval-Augmented Generation for Natural Language Processing: A Survey cites this paper.

Retrieval-Augmented Generation for Natural Language Processing: A Survey RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:08:35.629195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation ba999252-5f12-4d1b-bd51-65684de7e702 · inbound

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions cites this paper.

Evaluating Memory in LLM Agents via Incremental Multi-Turn Interactions RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T21:20:22.224437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 7229130b-6f01-4b13-a9d3-2ead786ca423 · inbound

LLMs as Assessors: Right for the Right Reason? cites this paper.

LLMs as Assessors: Right for the Right Reason? RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T14:22:59.169929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 94c67db4-4aaf-4e14-a0c5-ffa69fab442b · inbound

UnWeaving the knots of GraphRAG -- turns out VectorRAG is almost enough cites this paper.

UnWeaving the knots of GraphRAG -- turns out VectorRAG is almost enough RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T07:00:43.236693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 278779de-f22a-4ace-bc68-e3b7d89522b6 · inbound

Facet-Level Tracing of Evidence Uncertainty and Hallucination in RAG cites this paper.

Facet-Level Tracing of Evidence Uncertainty and Hallucination in RAG RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:40:59.470981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 6a2e5433-6a56-41ec-8189-1a33e379bf52 · inbound

Facet-Level Tracing of Evidence Uncertainty and Hallucination in RAG cites this paper.

Facet-Level Tracing of Evidence Uncertainty and Hallucination in RAG RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-21T08:59:55.502431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation dddefe32-5d4e-45ad-8733-d28ac58891e5 · inbound

Empirical Evaluation of PDF Parsing and Chunking for Financial Question Answering with RAG cites this paper.

Empirical Evaluation of PDF Parsing and Chunking for Financial Question Answering with RAG RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:51:04.127348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation e8b122ef-b4c1-49e0-96b5-57cdc360f016 · inbound

Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions cites this paper.

Retrieval-Augmented Generation Must Move Beyond Factual Grounding to Represent Diverse Opinions RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 72

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:21:03.475140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c07ec089-f7e2-42ec-ad94-50f125241f84 · inbound

Evaluating Multi-Hop Reasoning in RAG Systems: A Comparison of LLM-Based Retriever Evaluation Strategies cites this paper.

Evaluating Multi-Hop Reasoning in RAG Systems: A Comparison of LLM-Based Retriever Evaluation Strategies RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 12

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T04:04:47.619519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 7a4de228-e8f4-4fba-b097-cfe781ffbbdc · inbound

Seeking Information with RAG-Assistants: Does Model Size Matter in Human-AI Collaborations? cites this paper.

Seeking Information with RAG-Assistants: Does Model Size Matter in Human-AI Collaborations? RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:11:10.436719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 09951c2c-c3c7-4eca-b994-d1570c37f5cf · inbound

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction cites this paper.

Towards Dependable Retrieval-Augmented Generation Using Factual Confidence Prediction RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-08T18:13:53.760405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c342ecfa-3e4b-4a06-b42b-f96276f59549 · inbound

ACL-Verbatim: hallucination-free question answering for research cites this paper.

ACL-Verbatim: hallucination-free question answering for research RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T04:54:35.961153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 62097bc5-09da-42e2-b918-12fcb73de1e8 · inbound

Query Symbolically or Retrieve Semantically? A Dataset and Method for Semi-Structured Question Answering cites this paper.

Query Symbolically or Retrieve Semantically? A Dataset and Method for Semi-Structured Question Answering RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:13:44.961045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 97d9f5a3-1cbc-48ba-b515-7dca9dd0215c · inbound

Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer? cites this paper.

Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer? RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T17:23:45.137913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation a739962d-efcd-4e1f-99b3-bbcc8e68bfbd · inbound

QO-Bench: Diagnosing Query-Operator-Preserving Retrieval over Typed Event Tuples cites this paper.

QO-Bench: Diagnosing Query-Operator-Preserving Retrieval over Typed Event Tuples RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 29

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T07:46:45.764199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c9b41e22-0ffb-428d-855f-8b83efd96bcb · inbound

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version) cites this paper.

Reducing Hallucinations in Complex Question Answering using Simple Graph-based Retrieval-Augmented Generation (long version) RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-07-02T13:26:59.426136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation e985e72c-9f79-4d10-8399-6fe412f05176 · inbound

OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation cites this paper.

OPD-Evolver: Cultivating Holistic Agent Evolver via On-Policy Distillation RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-06-27T01:10:19.892543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 611c48f9-4dd9-4003-818c-80c853c96bc5 · inbound

RAIDS: Rethinking Data Systems as Responsible Intelligent Infrastructure cites this paper.

RAIDS: Rethinking Data Systems as Responsible Intelligent Infrastructure RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 89

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T08:29:42.109543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation fb4c6476-c8f6-4d8d-8bdc-2ee75282085f · inbound

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

Little Brains, Big Feats: Exploring Compact Language Models RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-30T06:24:19.344651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation e4203ef3-ff62-483c-8fc5-4d758d15a7c1 · 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 RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-07-01T15:15:48.346346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation d581c92c-f77e-42f8-9bf4-92d55a11760f · inbound

Detecting Hallucinations in Retrieval-Augmented Generation through Grounding-Aware Sensitivity by Perturbation (GASP) cites this paper.

Detecting Hallucinations in Retrieval-Augmented Generation through Grounding-Aware Sensitivity by Perturbation (GASP) RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 20

Resolution: unresolved; no resolver link, observed 2026-07-11T20:50:52.068889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b582c5d-63b2-42a4-b7eb-63c750358d0c · inbound

PolyWorkBench: Benchmarking Multilingual Long-Horizon LLM Agents cites this paper.

PolyWorkBench: Benchmarking Multilingual Long-Horizon LLM Agents RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-08T20:05:34.087934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation 0dab83c0-d197-4afe-b396-dfe62bb4f293 · inbound

PolyWorkBench: Benchmarking Multilingual Long-Horizon LLM Agents cites this paper.

PolyWorkBench: Benchmarking Multilingual Long-Horizon LLM Agents RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 3

Resolution: metadata mismatch; local_arxiv, observed 2026-07-11T01:37:42.793879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-22T06:31:00.163083+00:00.

Observation c28ca4f1-adf5-47d3-9e47-a9bdb07dc419 · 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 RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 54

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.