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Paper Citation Record · LEDGER

Seven Failure Points When Engineering a Retrieval Augmented Generation System

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 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 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:37.271291Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:33ccc5fcb217c8f64b291ca7a78350cfb27ccc66509f710e403c45e64dfe0e35

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T19:02:24.165688Z digest=sha256:4fe5b1d557c5ef76fcfd59ae77631a364c5b5fd1d47440934e4d9dc5bc6a527a

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:b7af66e15ca8202b518af3e5388fb7e94fa7f612aef42d1dba8c1cb54f048478

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:f001181830effccd12d69264934055ed4ed1b98c607720baeca820977f0bdcd8

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=sha256:842953cd3b0ddf1ecb3c6e281f67fe3b030f8cfae7fed13e052172e2c6026983

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:ce893ff264680434489b2fa51ce545be8e50c105ceb08b691ca1b3dbf0a4d919

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-13T21:32:28.344156Z digest=sha256:b14cbeddfe5f663da564c9e8ec13b72ae7e80c26bb776d4eb757bcc3b34ffd16

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-10T11:50:27.258770Z digest=sha256:a5d3a1949e54c55aeaacc6b951d0eaf4b0d124c0aebc0be21214f7bcb22e4811

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-07T16:40:54.825257Z digest=sha256:4ad6b301de735555415879fe6e52f0ed17eae45114419dbb8bd9d8fea8093eb8

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-08T19:25:42.362245Z digest=sha256:54b7f84ca2ca17e1f40910194c452fc7a0a2ba08fc56ec97dd9c310f47471acc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T17:56:05.596190Z digest=sha256:f5bb3043defd14f64601f0abd5243d9e2d3e901eb3c7a7fd9c364cfccac3c849

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:4a09dbdb86902eb85d6f6f07bb91160a415a1c4e1bbebe9134bf98131bcf607a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-26T22:43:03.892738Z digest=sha256:9e08391755a5d6e06eefb787a48e8803954fa9db798eff9519e89116d9259736

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T22:36:19.807806Z digest=sha256:f990e1139c8bed63a0764b2c1d177f44593c3a48c15c48ad91fe4a7f07e221d8

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:df3503cd847a1df144ed58739423314a9856dd9c7220393af2278ee5065833a4

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=sha256:3fd14019061147a463da9b03cf71e04e7e81d5cd1b977cf6ba05d4f078cfc5e0