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Paper Citation Record · LEDGER

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

As of 22 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2607.27353.

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

pith.paper-citation-record.v1
2607.27353 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:29:09.040882Z

measured 14 of 14 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 203df4ef-7286-441c-93c1-1a5b0a8c60e5 · outbound

This paper cites Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection.

LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented Generation Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T15:29:08.975923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:29:08.975923Z digest=sha256:7326d7a5e8b39c3082e4544a4d9de9b9d76af1493e04a264f3aae0196096c667

Observation f3340c5a-244a-43d0-a7ee-feca2dbbf678 · outbound

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

LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented Generation Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T15:29:08.986364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:29:08.986364Z digest=sha256:942f7d305412577fc1026a57ee5045ef6af438e5a3114233dd7a99df92fac2c4

Observation 2f432e5a-e856-460c-bb65-e4c5ea54dcff · outbound

This paper cites ReliabilityBench: Evaluating LLM agent reliability under production-like stress conditions.

LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented Generation ReliabilityBench: Evaluating LLM agent reliability under production-like stress conditions

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T15:29:08.991640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:29:08.991640Z digest=sha256:8db78f230af507ceb5917afcb3a98515a08db1805e89c2d20481e7dd5539d289

Observation 6f728af3-e30d-4ba5-89c8-02854b989e9c · outbound

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

LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented Generation Dense passage retrieval for open-domain question answering

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T15:29:09.425176Z

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=2026-08-15T15:29:09.001809Z digest=sha256:fc7f2d2fff38e2841bdb44d7c26eb14e468419ba50ab5d1a47ec581a75c1b51c

Observation 1d713a1d-fd87-4944-95ff-aa55caede05a · outbound

This paper cites Overcoming the "Impracticality" of RAG: Proposing a Real-World Benchmark and Multi-Dimensional Diagnostic Framework.

LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented Generation Overcoming the "Impracticality" of RAG: Proposing a Real-World Benchmark and Multi-Dimensional Diagnostic Framework

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-15T15:29:09.159796Z

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=2026-08-15T15:29:09.017140Z digest=sha256:9b646259a1b6872d441d83f673af5a6d334961b9653b0d0cc71e83c91f1c4318

Observation e12eb282-7627-4227-b2c8-98d360b75e76 · outbound

This paper cites ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented Generation ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T15:29:09.022002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:29:09.022002Z digest=sha256:b374da9871a725ae5e042a29b769bd1486ad1a4437d4938237c0ca6e58ef1ae0

Observation 88cc9fbc-a682-413a-b3ea-eae09eb5fb12 · outbound

This paper cites ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems.

LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented Generation ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T15:29:09.026943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:29:09.026943Z digest=sha256:83a3fffe49d32d58353c0177a4930d1def5dbdf60f8e8d0a4a1877d0ff9a4c10

Observation e4d6b840-ae67-4b42-a478-c18d126ee058 · outbound

This paper cites EnterpriseRAG-Bench: A RAG Benchmark for Company Internal Knowledge.

LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented Generation EnterpriseRAG-Bench: A RAG Benchmark for Company Internal Knowledge

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T15:29:09.031838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:29:09.031838Z digest=sha256:394a6bac9262fa98452005cf80a3c3bc91bd45c4d22bba77a8f67cddcc726cd4

Observation 7e52bd39-242f-43a0-b08d-c5fa93f7ba3d · outbound

This paper cites AgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning in Agentic RAG.

LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented Generation AgenticRAGTracer: A Hop-Aware Benchmark for Diagnosing Multi-Step Retrieval Reasoning in Agentic RAG

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T15:29:09.040882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:29:09.040882Z digest=sha256:ecbe178b214a78df53fe232e576ec01e1bd9e2991595523b50820308c9816ebc

Observation 273b68e1-acf1-4dff-9a4d-c66abdc0a43b · outbound

This paper cites RAGCap-Bench: Benchmarking Capabilities of LLMs in Agentic Retrieval Augmented Generation Systems.

LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented Generation RAGCap-Bench: Benchmarking Capabilities of LLMs in Agentic Retrieval Augmented Generation Systems

Reference 2020

Resolution
verified exact
local_arxiv, observed 2026-08-15T15:29:09.246831Z

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=2026-08-15T15:29:09.006877Z digest=sha256:969befee3752290fce799592db5d3c4f0ef486106e27c321a4542dc7722ce2c7

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

This paper cites CRAG -- Comprehensive RAG Benchmark.

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

Reference 2021

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

Observation 34349609-7b00-4832-9c53-75e5b4fc0e66 · outbound

This paper cites Ragas: Automated Evaluation of Retrieval Augmented Generation.

LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented Generation Ragas: Automated Evaluation of Retrieval Augmented Generation

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-15T15:29:08.981319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:29:08.981319Z digest=sha256:d356114d7ba8e41e07182b7c025f78a419e4ba73af22fb310c6a62edabc3fe92

Observation 78b53ff2-9083-4513-acba-37805a2190b2 · outbound

This paper cites SoK: Agentic retrieval-augmented generation (RAG): Taxonomy, architectures, evaluation, and research directions.arXiv preprint arXiv:2603.07379,.

LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented Generation SoK: Agentic retrieval-augmented generation (RAG): Taxonomy, architectures, evaluation, and research directions.arXiv preprint arXiv:2603.07379,

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-15T15:29:09.012111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:29:09.012111Z digest=sha256:9fdcfca042a9b496f43d20c3128252717045a6fb7a4d3da8384f6129ed3d37d6

Observation 24fc311a-cb3f-4647-843d-057dfd618507 · outbound

This paper cites Doctor-RAG: A failure-aware repair framework for agentic retrieval-augmented generation.arXiv preprint arXiv:2604.00865,.

LayerRAG-Bench: A Cross-Layer Reliability Benchmark for Agentic Retrieval-Augmented Generation Doctor-RAG: A failure-aware repair framework for agentic retrieval-augmented generation.arXiv preprint arXiv:2604.00865,

Reference 2026

Resolution
unresolved
no resolver link, observed 2026-08-15T15:29:08.996683Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:29:08.996683Z digest=sha256:1b7dc16c75b7f9ac4e73c574d911b3dcb67921416a95e59e2feccf24cce4e1fd

Pith citing papers

No inbound Pith citation observations are available.