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Paper Citation Record · LEDGER

Seven Failure Points When Engineering a Retrieval Augmented Generation System

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2401.05856.

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

pith.paper-citation-record.v1
2401.05856 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:51:25.751245Z

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

0 of 0 outbound references displayed

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External citation measurements

6
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a64d6c5a-537b-4da5-8d71-2b4db622996e · inbound

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions cites this paper.

A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:46:27.376674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:55d559bcaa81fc92b42bf4bd990c2f2a5ce2ec04d9f15ea8b576771d11b1fc2f

Observation a0fb9891-a3eb-4e34-961e-58ba32199b34 · inbound

Visual RAG: Expanding MLLM visual knowledge without fine-tuning cites this paper.

Visual RAG: Expanding MLLM visual knowledge without fine-tuning Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T18:59:22.276228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:59:22.276228Z digest=sha256:4b9208315b3429bfbe3eb4709581d6d2468355dbb4e2208b65cc81a91de29892

Observation 63b51a82-60e8-40a9-bcb9-96e05accda04 · inbound

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering cites this paper.

FinSage: A Multi-aspect RAG System for Financial Filings Question Answering Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T11:51:25.751245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:51:25.751245Z digest=sha256:bbb710680f5c5746602258d851a760b4afac598a630a4ca7da7fd0ada464a62b

Observation 03027a00-e99e-4aee-a663-079dbda85d53 · inbound

ReCellTy: Domain-Specific Knowledge Graph Retrieval-Augmented LLMs Reasoning Workflow for Single-Cell Annotation cites this paper.

ReCellTy: Domain-Specific Knowledge Graph Retrieval-Augmented LLMs Reasoning Workflow for Single-Cell Annotation Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-22T19:05:03.570198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T19:02:24.165688Z digest=sha256:36c1d7e015ae9c8f3a96e32959975339e1e66e4ccac71aac9e64465e366f31f5

Observation 81ea0308-b798-4da2-9a0d-5cf6c78a1be2 · inbound

MARK: Memory Augmented Refinement of Knowledge cites this paper.

MARK: Memory Augmented Refinement of Knowledge Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T23:15:00.353448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:15:00.353448Z digest=sha256:deb5fae77e1bbd3ef8e64ff9f747a1d5b21bd62fe9cb44fa956449aa1990d311

Observation dd170161-37f0-4969-b722-c72937590584 · inbound

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks cites this paper.

Automatic Dataset Generation for Knowledge Intensive Question Answering Tasks Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:37.271291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:37.271291Z digest=sha256:4dd997c00a5904fbf67b0a1efab1723230b07338fa77e3ad085580df71dda51c

Observation 6bb03e10-0c26-4379-a3c3-be0f226dc275 · inbound

A Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignment cites this paper.

A Comprehensive Graph Framework for Question Answering with Mode-Seeking Preference Alignment Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T23:28:41.514745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:28:41.514745Z digest=sha256:6c1961cae918d8c77065b8944dc8c8fc277b3e3c7a6cd208decf96871c7dc215

Observation 5eedf284-f840-4a1d-a462-6eca40e8d869 · inbound

Schema Lineage Extraction at Scale: Multilingual Pipelines, Composite Evaluation, and Language-Model Benchmarks cites this paper.

Schema Lineage Extraction at Scale: Multilingual Pipelines, Composite Evaluation, and Language-Model Benchmarks Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-05T22:20:24.616921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:20:24.616921Z digest=sha256:e27ad059ba4dbb4872c73da88795027c1c5225c8a022077d0e5bddcce2ac9a18

Observation 823c0110-b7c0-4be9-a19d-af3f046513bd · inbound

RAG Strategies for Natural Language-Based SQL Query and REST API Call Generation cites this paper.

RAG Strategies for Natural Language-Based SQL Query and REST API Call Generation Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-04T06:09:50.655194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:09:50.655194Z digest=sha256:930d43999d394cfc21457416a9b88af09f038d32b1a5e3fbc1ef60cb57d5ef55

Observation 4fe2053e-ce23-4ce5-9022-1d9ee5a51cd7 · inbound

Improving MPI Error Detection and Repair with Large Language Models and Bug References cites this paper.

Improving MPI Error Detection and Repair with Large Language Models and Bug References Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-13T21:33:18.372396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T21:32:28.344156Z digest=sha256:140d68531a2b3dec4a8766e0686d97f279777e52b34804be2c89eb104f91da2f

Observation 86a24e90-a5c1-4715-98a0-f1453d3f45b0 · inbound

Controlling Authority Retrieval: A Missing Retrieval Objective for Authority-Governed Knowledge cites this paper.

Controlling Authority Retrieval: A Missing Retrieval Objective for Authority-Governed Knowledge Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:55:21.096532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-10T11:50:27.258770Z digest=sha256:f0df08d0ad94c3bc460b7f089613c50b1dbf0e52d4481020c58a6e775adf138f

Observation 5516ee37-f201-4fbe-9d7c-55fa47e3c03d · inbound

Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models cites this paper.

Faithfulness-QA: A Counterfactual Entity Substitution Dataset for Training Context-Faithful RAG Models Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T23:36:26.523383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-07T16:40:54.825257Z digest=sha256:3d2b668de5c5310e7e50df7a6c8ae5a77b31ee6f590ee7641f98a2e5dbefc036

Observation 9001a6f0-c49b-4466-babd-18de79c9baf1 · inbound

Reliable AI Needs to Externalize Implicit Knowledge: A Human-AI Collaboration Perspective cites this paper.

Reliable AI Needs to Externalize Implicit Knowledge: A Human-AI Collaboration Perspective Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-09T05:55:29.441850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T19:25:42.362245Z digest=sha256:15d92803dec77bd1dff8e7ed29463a5c9adb8770ddbed2af093e9afbddf6899d

Observation dcef3077-a84c-4705-9520-94401d1fedbd · inbound

Separating Semantic Competition from Context Length in RAG Reading cites this paper.

Separating Semantic Competition from Context Length in RAG Reading Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T18:03:48.170661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T17:56:05.596190Z digest=sha256:bf0aa9b4bc9be1590004977dac2e0886935477bcfa51edb27a1ae7e6ca7e171a

Observation 5a6a9b21-acd6-4290-9073-6c08f01d57e8 · inbound

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs cites this paper.

Beyond Vector Similarity: A Structural Analysis of Graph-Augmented Retrieval for Industrial Knowledge Graphs Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T13:26:58.997540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:6b5c3915d4fdf728b13388da6b24cc311c23be8ba6c580576c600abc6237ae04

Observation d3f07e49-2af6-4126-9c41-b45303adb460 · inbound

Understanding and Debugging Failures in N-Gram-Based Generative Retrieval cites this paper.

Understanding and Debugging Failures in N-Gram-Based Generative Retrieval Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-07-03T23:19:03.307402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T22:43:03.892738Z digest=sha256:cc038f68002e89aabdfb3b766cf66a52e9f61d7bd75861774dcea268e72e9f0c

Observation 258e806d-6837-42a4-9901-8e25c26347d2 · inbound

SemChunk-C: Semantic Segmentation for C Code cites this paper.

SemChunk-C: Semantic Segmentation for C Code Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T13:55:45.536715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T22:36:19.807806Z digest=sha256:4601dd3c9538b3bfb4c6761a62e2e0ffdd507b2ae571deca59bba4d293d44d71

Observation c9d32034-bc4f-41d3-8773-7318169c5709 · inbound

Enhancing LLMs through human feedback: a journey towards self-improvement cites this paper.

Enhancing LLMs through human feedback: a journey towards self-improvement Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-14T02:23:46.480403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T02:23:46.480403Z digest=sha256:69d05d9d08ac4948f42acdeff945f00f7b796d2a9971508f36d14a3eb9a0295e

Observation 939e72c6-44c4-41c0-bf32-65930002a511 · inbound

Three Sides of Retrieval: Factorial Evidence for Document-Side, Query-Side, and Answer-Side Complementarity in RAG cites this paper.

Three Sides of Retrieval: Factorial Evidence for Document-Side, Query-Side, and Answer-Side Complementarity in RAG Seven Failure Points When Engineering a Retrieval Augmented Generation System

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T10:41:36.328922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:41:36.328922Z digest=sha256:22b5f630acec847ccc2dbd608300107c87d3c04c876ed8cea26a398dcaec51ce