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Paper Citation Record · LEDGER

Seven Failure Points When Engineering a Retrieval Augmented Generation System

As of 9 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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T02:46:26.957539Z digest=sha256:e5210cf80ec3367ba41f0d7604d232bbcc5f06e58e1cf8f4a1f32ced32d3e57f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T19:02:24.165688Z digest=sha256:d09f9db5fc2ed872801997c1e9391c021fccd068859329b4383907a8c6ac3038

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:d34729afdb24ada1e60904c2636445c51b2c0cd9ee5483ce7b0df395108407a5

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=sha256:6e0c9e2c7a5999312554bef6011b8ef034a3e0ec4620124bc078837046021fb9

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=sha256:8ef89320aaceeb59bc34b873097d0c5d325987539758d9d8d62a1ddc14417e7e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T21:32:28.344156Z digest=sha256:01112553f22e10395c91e169bbe840f77af1b62eb94ee30f3072346506e27bde

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T11:50:27.258770Z digest=sha256:5804b1e45009e3d0c9af33c979812dbc6b9f0acf129e6c28bb55abeadd52d890

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T16:40:54.825257Z digest=sha256:b9aa4ac819c5e58f46036eb202ff6d2ee729891554b4f4a9cea549325ac7b383

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T19:25:42.362245Z digest=sha256:8aebf88267ee05c19642d21248affbf572079c4791a7a7182f27d5ecd2206632

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T17:56:05.596190Z digest=sha256:d702c705d13e554899645ffc0151cd5cd299228a8f0b1df0a979733d1976800b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T01:19:33.405517Z digest=sha256:2613bd7b8239c464194a282c337a91195baea3ed6216e8bc4564767b5e3a4882

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T22:43:03.892738Z digest=sha256:e379dc17564452e5c8f6c255b3dd2494b2076ce5ac85a0bd17b60c5788cbd78d

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T22:36:19.807806Z digest=sha256:bf53d31338617ac227e81dcb1e2a44cdb2af1f67b7d034e3141f4a1fdbfc997b

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=sha256:4870f4bbd2aa47f51ec41c4d6d947aae9291c1da6ae1c5b536abca3852565678

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