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Paper Citation Record · LEDGER

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance

As of 7 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2508.20420.

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

pith.paper-citation-record.v1
2508.20420 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:09:07.743904Z

measured 30 of 30 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T01:00:13.017290Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:31:25.884163Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact4
  • verified fuzzy10
  • unresolved8
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6fef861c-5b5f-4f6c-9000-09a38f3999d7 · outbound

This paper cites Scheduling challenges within maintenance repair and overhaul operations in the civil aviation sector.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Scheduling challenges within maintenance repair and overhaul operations in the civil aviation sector

Reference 1

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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.

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Observation 8d6dbdf2-de13-4547-bc38-156049d32bdc · outbound

This paper cites Integrating LLMs for Explainable Fault Diagnosis in Complex Systems.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Integrating LLMs for Explainable Fault Diagnosis in Complex Systems

Reference 2

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source=pdf_text observed=2026-08-05T15:09:07.639590Z digest=sha256:d45e7a2fc1a5c517ea02a3d84bf087a20a5983a48d7850ad49e66f6d7b57f660

Observation 3b5479cc-f818-4e4a-bc25-a9033ade0a7e · outbound

This paper cites A quantitative and qualitative evaluation of llm-based explainable fault localization.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance A quantitative and qualitative evaluation of llm-based explainable fault localization

Reference 3

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source=pdf_text observed=2026-08-05T15:09:07.643529Z digest=sha256:470aba9dde806713d1e9853e9ae8eb5ae87614b1f82e695cd7ef70be599a6dae

Observation 689a25e0-b866-4573-8343-575c011de85c · outbound

This paper cites Cost-effectiveness of structural health monitoring in fuselage maintenance of the civil aviation industry.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Cost-effectiveness of structural health monitoring in fuselage maintenance of the civil aviation industry

Reference 4

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raw_fallback, observed 2026-08-05T15:09:08.660445Z

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=2026-08-05T15:09:07.647499Z digest=sha256:07f3a61e1f9006fd5fe41034086a082b9c707c14bfb945da6fad6920cccac6ad

Observation 2209a59c-dd8d-4b86-ac27-bebc3023463b · outbound

This paper cites Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Estimate and Replace: A Novel Approach to Integrating Deep Neural Networks with Existing Applications

Reference 5

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source=pdf_text observed=2026-08-05T15:09:07.651340Z digest=sha256:9be316657fc5ef23d65a91fdfd311c0f368e4d974d9ae29c7eb5086685be2306

Observation 22647167-bf6c-49a8-ba07-53d8a36c6384 · outbound

This paper cites Evaluating large language models for real-world engineering tasks.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Evaluating large language models for real-world engineering tasks

Reference 6

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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=2026-08-05T15:09:07.655640Z digest=sha256:f5a364fd977fc3689012adeb73cec64a336fdaeaee9081f27f80a6dfd5737a8f

Observation 1e9025e8-0a5c-4652-9077-e139c72420b6 · outbound

This paper cites Applied research on an aircraft maintenance assistant based on a large language model.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Applied research on an aircraft maintenance assistant based on a large language model

Reference 7

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T15:09:07.659698Z digest=sha256:b97c164baa2bcfd3ebed94b06b4120d9d6ffed6d1220039e26452475c58c036d

Observation 38e7b730-1a70-488c-96e8-2b0831bf3531 · outbound

This paper cites A multi-agent approach to fault localization via graph-based retrieval and reflexion.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance A multi-agent approach to fault localization via graph-based retrieval and reflexion

Reference 8

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raw_fallback, observed 2026-08-05T15:09:08.642921Z

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=2026-08-05T15:09:07.664340Z digest=sha256:eb7377b738919fcf8882ffa7d6bbe50857eacef8e3ffdfffa30f79e73366209f

Observation 4138940e-ef6c-4026-88d9-7904fad187b0 · outbound

This paper cites A systematic survey and critical review on evaluating large language models: Challenges, limitations, and recommendations.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance A systematic survey and critical review on evaluating large language models: Challenges, limitations, and recommendations

Reference 9

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T15:09:07.668765Z digest=sha256:08cb41ace0cc04389992786cf9e0a07ffe3bf2f369f984621a1fa2a69994e7b9

Observation 09e80150-4960-41d6-8f56-795436cccbd0 · outbound

This paper cites FD-LLM: Large language model for fault diagnosis of machines.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance FD-LLM: Large language model for fault diagnosis of machines

Reference 10

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Observation fbac4708-258f-44e2-bf2b-36add5863588 · outbound

This paper cites LLM Evaluation Based on Aerospace Manufacturing Expertise: Automated Generation and Multi-Model Question Answering.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance LLM Evaluation Based on Aerospace Manufacturing Expertise: Automated Generation and Multi-Model Question Answering

Reference 11

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local_arxiv, observed 2026-08-05T15:09:08.316850Z

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=2026-08-05T15:09:07.675962Z digest=sha256:9a9fc8af7644e21e668b257b38fc0fb6f3a673d863c5417d2e9f1c6f357d145f

Observation 306bcf60-7293-42fd-959f-8735810924fd · outbound

This paper cites Joint knowledge graph and large language model for fault diagnosis and its application in aviation assembly.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Joint knowledge graph and large language model for fault diagnosis and its application in aviation assembly

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-05T15:09:08.627753Z

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=2026-08-05T15:09:07.680538Z digest=sha256:dc674ce6dff9d20717af46fe1d7df52e25ff332d0cb2c09cc7d086e676b9d37f

Observation bbd82ffd-7d65-4e69-9368-9945b073e4d1 · outbound

This paper cites Aviation language understanding evaluation (alue)–large language model benchmark with aviation datasets.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Aviation language understanding evaluation (alue)–large language model benchmark with aviation datasets

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-05T15:09:08.618073Z

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=2026-08-05T15:09:07.687841Z digest=sha256:969e3c91015c0aa452049dfaa094f31e9e69d04ef64cd0bc4a0ca384afa31893

Observation 4878aba3-2dbb-47d0-93ec-66b0b0fe9793 · outbound

This paper cites Cellmea:a collaboratively enhanced large language model-based entity alignment for aircraft fault maintenance.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Cellmea:a collaboratively enhanced large language model-based entity alignment for aircraft fault maintenance

Reference 14

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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=2026-08-05T15:09:07.691168Z digest=sha256:c885f306bf3f7f8358af64b0cc72bb554881cfd4c01a9183a2b5043d9454b64b

Observation 0afb3e56-65f1-4034-b8da-fcc1e26a66fa · outbound

This paper cites Aviation safety qa dataset for extracting knowledge from incident reports.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Aviation safety qa dataset for extracting knowledge from incident reports

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-05T15:09:08.608791Z

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=2026-08-05T15:09:07.694630Z digest=sha256:8e303f57aeebb34860b9e41274da397edd5f5c2f68e3667b02133bbcabdfa91e

Observation 9c4243b3-60b3-4464-87bf-6295ab8df760 · outbound

This paper cites Cast-eval: A domain-specific benchmark for large language models in civil aviation safety.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Cast-eval: A domain-specific benchmark for large language models in civil aviation safety

Reference 16

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raw_fallback, observed 2026-08-05T15:09:08.599859Z

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=2026-08-05T15:09:07.698451Z digest=sha256:3edd68484925b0bb2a10507cb709bd650fdbbd555dcfbcf94673d348d2dad7f7

Observation a39deb74-09e6-46bc-8d3c-aeaca2c2cde9 · outbound

This paper cites Implementation of a large language model for the interpretation of the colombian aeronautical regulations.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Implementation of a large language model for the interpretation of the colombian aeronautical regulations

Reference 17

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T15:09:07.701633Z digest=sha256:215bac4428b8c47985be928e5da2d97ad24e335bc4508206feb8da466bcccb3e

Observation cb2f1b98-02c5-4a50-b211-98e5e4845f0c · outbound

This paper cites Towards enhancing aviation safety through advanced incident analysis using large language models.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Towards enhancing aviation safety through advanced incident analysis using large language models

Reference 18

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T15:09:07.704859Z digest=sha256:667ca6776a1099059a49d91effd0d9b34bee6b7cee83b2e26678c45d53b0f7c7

Observation 592582b8-fb62-4bbf-8539-25143bde5e09 · outbound

This paper cites Retrieval-augmented generation and in-context prompted large language models in aircraft engineering.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Retrieval-augmented generation and in-context prompted large language models in aircraft engineering

Reference 19

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T15:09:07.708295Z digest=sha256:d19faf34d23cbd1fa1c09b9ec26217644ba3a17ecd08202e6d563151ce59a1d1

Observation 4ddc5beb-7af6-4ff9-abbe-8c8dd62b1588 · outbound

This paper cites Benchmarking the Capabilities of Large Language Models in Transportation System Engineering: Accuracy, Consistency, and Reasoning Behaviors.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Benchmarking the Capabilities of Large Language Models in Transportation System Engineering: Accuracy, Consistency, and Reasoning Behaviors

Reference 20

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source=pdf_text observed=2026-08-05T15:09:07.711671Z digest=sha256:874da11706fd16da91432393818519c0314222c2fecdb7862cfd498930be9f55

Observation 7e5fbdf8-6989-4dbc-afba-54002ad7b1d5 · outbound

This paper cites Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Assessing Large Language Models in Mechanical Engineering Education: A Study on Mechanics-Focused Conceptual Understanding

Reference 21

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source=pdf_text observed=2026-08-05T15:09:07.715373Z digest=sha256:544b628e7d02e0166ddd28cd29b8ecb338a9ca41ec9207618ecfbca18a3d18e8

Observation 1dfd4284-cc4c-42f8-8065-0eaa6dc658d0 · outbound

This paper cites Generating troubleshooting trees for industrial equipment using large language models (llm).

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Generating troubleshooting trees for industrial equipment using large language models (llm)

Reference 22

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Observation b42dba06-160f-47e1-adf8-7deebe4e1f74 · outbound

This paper cites AviationLLM: An LLM-based Knowledge System for Aviation Training.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance AviationLLM: An LLM-based Knowledge System for Aviation Training

Reference 23

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T15:09:07.723260Z digest=sha256:ca538b4b6d81d838f2bcb3765b4669ca09fb30010d963a81f66d661df1ad861c

Observation 0fcda03a-19f2-41ee-9e2d-6c246a546547 · outbound

This paper cites A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations

Reference 24

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source=pdf_text observed=2026-08-05T15:09:07.727259Z digest=sha256:f3f1ea2d3d4c245b3fd24e8d2b9ecf5a60d8835554fc8ed6f1195a99f0d8725d

Observation e3b23381-de31-481d-8a88-41d5ec4001b7 · outbound

This paper cites An intelligent guided troubleshooting method for aircraft based on HybirdRAG.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance An intelligent guided troubleshooting method for aircraft based on HybirdRAG

Reference 25

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T15:09:07.731051Z digest=sha256:4ffacbedec72b06f56c1b6898995efc5c4392bcb6e5d535e48e007005fbd2117

Observation 31dc1323-ef8f-491f-94ef-ce74cbbdd55a · outbound

This paper cites A retrieval-augmented generation-based method for aviation ac- cident data analysis.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance A retrieval-augmented generation-based method for aviation ac- cident data analysis

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:09:07.735304Z digest=sha256:f36a1665f6dcfc8aa3172ef2a8ea3b61d9e6fb02cfd3e891c574f908770d9039

Observation 1dbaa1e6-71c1-4580-86eb-c7a7174ffe62 · outbound

This paper cites Empirical study on fine-tuning pre-trained large language models for fault diagnosis of complex systems.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Empirical study on fine-tuning pre-trained large language models for fault diagnosis of complex systems

Reference 27

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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.

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Observation 9693f776-24c7-4d64-806f-d8582017c8c3 · outbound

This paper cites Application of reliability technologies in civil aviation: Lessons learnt and perspectives.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Application of reliability technologies in civil aviation: Lessons learnt and perspectives

Reference 28

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Observation f0114cef-da3b-4b3b-a0f6-eeacc4236450 · outbound

This paper cites an unresolved cited work.

CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance Unresolved cited work

Reference 2024

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T15:09:07.684396Z digest=sha256:0afb9cbe55399b4c85bfbbc712cdda8daa27b5784622d259a95b07b80c6706a7

Pith citing papers

Observation cda804e2-4717-4c81-81ff-41de6229b05f · inbound

DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules cites this paper.

DiagnosticIQ: A Benchmark for LLM-Based Industrial Maintenance Action Recommendation from Symbolic Rules CAMB: A comprehensive industrial LLM benchmark on civil aviation maintenance

Reference 46

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arxiv_id, observed 2026-05-12T08:31:25.886703Z

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=2026-05-12T01:00:13.017290Z digest=sha256:e0ecf036d65a703e8976e63059848cd19e85387493cb26783f71ff829d3fd74b