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Paper Citation Record · LEDGER

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach

As of 11 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2501.13480.

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

pith.paper-citation-record.v1
2501.13480 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T15:57:28.897242Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

35 of 35 outbound references displayed

  • verified exact4
  • verified fuzzy24
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f21964eb-4c7f-4cb1-8a1a-2f11137b3244 · outbound

This paper cites Google ai overview,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Google ai overview,

Reference 1

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raw_fallback, observed 2026-08-10T15:57:29.329508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9daba3bd-4288-40d5-8594-51ee34b00a90 · outbound

This paper cites Perplexity ai search engine,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Perplexity ai search engine,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.792407Z digest=sha256:b724b88be92abb9ba99229d73febfaf17523f66c3845b08c04258155a39d2d66

Observation 0af4072a-52f5-4d7f-9845-f77e2834a410 · outbound

This paper cites Duolingo max with gpt-4,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Duolingo max with gpt-4,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.795352Z digest=sha256:7da5423264065fe4243dca25791032b9c5d5dc67d3974551c8e992137e104c56

Observation 60879544-7caf-43dc-9d16-21008aedc984 · outbound

This paper cites LARP: Language-Agent Role Play for Open-World Games.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach LARP: Language-Agent Role Play for Open-World Games

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:28.798640Z digest=sha256:033da6ec5fe9d6ccab7318cbfb853eca56bca6c133e4166a849d624f74dd7a2d

Observation cb67897d-4bb6-4444-91b2-828a33ae05d7 · outbound

This paper cites [Online].

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach [Online]

Reference 5

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raw_fallback, observed 2026-08-10T15:57:29.305595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.802100Z digest=sha256:62d70b20d113b140152668b26f755306443015c12dc03c723a78833fb1746dfd

Observation 3468f8bb-2af3-421c-859c-0a991b438a8c · outbound

This paper cites Ai dungeon,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Ai dungeon,

Reference 6

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raw_fallback, observed 2026-08-10T15:57:29.297876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.805163Z digest=sha256:885ee060282126f0ff5ff6c8f0f6ebed9493f363e1d4c6174f066d928487caf0

Observation d0dea566-4e0f-49f5-acfd-a900e95cd2d9 · outbound

This paper cites Github copilot,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Github copilot,

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.808405Z digest=sha256:32a343f5ee269090eea40902c2c7b07b5db6278b54a8b6e093def35184161b59

Observation 4fa0d9a7-ae83-4634-8559-334f977a9940 · outbound

This paper cites An Empirical Study on Challenges for LLM Application Developers.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach An Empirical Study on Challenges for LLM Application Developers

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:28.811241Z digest=sha256:91e07fed0dce61e952bb8ba1de055c7c5735f24ea2a0ce7d58bffeb4d5f3d8fb

Observation 8c955b56-3082-4787-ac6a-0084017cdc43 · outbound

This paper cites Demystifying Issues, Causes and Solutions in LLM Open-Source Projects.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Demystifying Issues, Causes and Solutions in LLM Open-Source Projects

Reference 9

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local_arxiv, observed 2026-08-10T15:57:29.096391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.814524Z digest=sha256:79b790582f1d36c2bd3a152bba7236463a9278332bf129153fc7d1c1e1b35df5

Observation 668c43b7-2512-4fcc-8e4e-fcdab5bd36e9 · outbound

This paper cites Langchain prompt template,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Langchain prompt template,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.817834Z digest=sha256:85025a6b4028d9d76f596ae45a4ac5b64e08d58b1bd2a8e819aa2a663d0b5832

Observation 1f50c581-4dde-42fb-b742-ca4da59800e0 · outbound

This paper cites SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach SPADE: Synthesizing Data Quality Assertions for Large Language Model Pipelines

Reference 11

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:28.820612Z digest=sha256:41ca9b6f9590a9b1e5caa28682f78ebed176778250b1a508a404c0660553806c

Observation e121041d-7bf0-49f7-ad0e-064d05d46d07 · outbound

This paper cites Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:28.824032Z digest=sha256:940a567320b1053be40fdd310a6d8ba33866a9e47dc732cbcecaf13ceb05b6f1

Observation 33872efb-d661-4e9e-ba42-2b723d333edd · outbound

This paper cites Adaptive Random Testing,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Adaptive Random Testing,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.827491Z digest=sha256:114fe881c9bdb0187bc6345181cb2f4ab002f8af7566c50271db79b1476b2756

Observation 7bcb7fc1-6451-491d-b3b0-5bfb60d7eb79 · outbound

This paper cites Adaptive Random Testing with Q-grams: The Illusion Comes True.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Adaptive Random Testing with Q-grams: The Illusion Comes True

Reference 14

Resolution
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local_arxiv, observed 2026-08-10T15:57:29.058707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.830503Z digest=sha256:d73359acd1d9be904b4d4dee2e78c8cab7c37d44fc4159374652975b72758d81

Observation 5bd44723-31e1-46fd-a3fd-09902560b015 · outbound

This paper cites Clustering by compression,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Clustering by compression,

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.833794Z digest=sha256:a2487aa3a96ad06aaad85892a5307338eecc45d63f1b163f179b282bf6e666f1

Observation d29a1024-eecb-41a2-a7f1-81c811e2bbb1 · outbound

This paper cites A Software Engineering Perspective on Testing Large Language Models: Research, Practice, Tools and Benchmarks.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach A Software Engineering Perspective on Testing Large Language Models: Research, Practice, Tools and Benchmarks

Reference 16

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local_arxiv, observed 2026-08-10T15:57:29.044353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.836747Z digest=sha256:454908dcb705ecb34fb012596796d7aba57951ba7ff1a86933d4d99cb66ff442

Observation 7ade91b6-cd37-4024-a02e-5b577088b1da · outbound

This paper cites Deepeval dataset generation,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Deepeval dataset generation,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.840224Z digest=sha256:fd5a3d5b863e71aa1152eb0c20d36f518bfe80dda0a1518c854af13bbc67eb44

Observation ef1c7bc9-7c1c-44c5-90d8-28fe75304bf2 · outbound

This paper cites Promptfoo dataset generation,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Promptfoo dataset generation,

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.843238Z digest=sha256:4874e0b5986f55d74995195b6ecea0c26bd100ffdda0486872e1f27fd8df9583

Observation b0fe5a7b-196d-440b-bfb7-35c0e34f1b24 · outbound

This paper cites Promptfoo,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Promptfoo,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.846207Z digest=sha256:5afb32bd81f3aa9f99e9b75bfba391a6a421451915c0860807d6a04a5abaf249

Observation d53ba1f1-d5f6-4617-89a6-2706aea0a028 · outbound

This paper cites Trulens,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Trulens,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.849171Z digest=sha256:d07a3a7bf3c9961f491428db9cade0775f196649f6a619416600f7b440c44d9e

Observation 417b8292-1745-4dfb-a164-20cbce5dc399 · outbound

This paper cites Langsmith,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Langsmith,

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.852090Z digest=sha256:a4d795f4cac98c1826b929921f0342a65b625d9dd56d4950bec188f1d970ad5c

Observation 506681a9-b979-4fef-ae24-8595a1bf2b9e · outbound

This paper cites Giskard,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Giskard,

Reference 22

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.855201Z digest=sha256:3c8e60e022934edc3c1debb0737b1dc18470ea69e8a98bf2a0302eab768594fc

Observation 67b17a01-152d-4a10-abfe-e348054600d4 · outbound

This paper cites Deepeval,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Deepeval,

Reference 23

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.858392Z digest=sha256:edf3062b024dcfb3f4811f165b9e8697fb430c0ea0698052a7c0866661ebc2d3

Observation 394fc7ea-bf8c-48c4-8c76-46399f12bd3c · outbound

This paper cites ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing,

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:28.861471Z digest=sha256:cd0cb3064e26bfdcfa44ca18564998fb11cc256d28a5b73e3fd4ed1da88fc8d6

Observation 56e93d47-d235-4f07-bd28-e8135b4c2da6 · outbound

This paper cites Adaptive random testing,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Adaptive random testing,

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.864681Z digest=sha256:4f09f0f215856608b4d0bb100e817c451f26f02c0845463e197e5428bee4712a

Observation 3c962ea1-ac68-41ff-8cd5-4e0243ab5247 · outbound

This paper cites Adaptive random testing: An illusion of effectiveness?.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Adaptive random testing: An illusion of effectiveness?

Reference 26

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raw_fallback, observed 2026-08-10T15:57:29.190620Z

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No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.867765Z digest=sha256:0b50f70dab7f0387ab78ae65d5254ad08b811cf57561bee1940e3612cb9135b3

Observation b6604366-554f-4c85-a6a7-69d2dd829a65 · outbound

This paper cites Test Set Diameter: Quantifying the Diversity of Sets of Test Cases.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Test Set Diameter: Quantifying the Diversity of Sets of Test Cases

Reference 27

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local_arxiv, observed 2026-08-10T15:57:28.955348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.871096Z digest=sha256:57dd3f93b68094816d27597f05b9eb0f65bc0ee743f16dbea8c5b1b069bfee04

Observation 8a0c217e-0cee-4068-8976-7066d10851f1 · outbound

This paper cites Comparing white-box and black-box test prioritization,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Comparing white-box and black-box test prioritization,

Reference 28

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raw_fallback, observed 2026-08-10T15:57:29.181532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.874636Z digest=sha256:46d81b32b5c10824c9ac117cb7813ebad3ad464013cb0b86d2320132c03d80af

Observation ca9cce61-3c49-4d0e-8e04-bef67b544ed6 · outbound

This paper cites A comparison of coverage-based and distribution-based techniques for filtering and prioritizing test cases,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach A comparison of coverage-based and distribution-based techniques for filtering and prioritizing test cases,

Reference 29

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raw_fallback, observed 2026-08-10T15:57:29.171539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.877908Z digest=sha256:306f5130dc9dc5725a5fd502658084ba14605d50364e633407013f1a425683d0

Observation cef3105a-9bc4-4282-b616-02151044eb43 · outbound

This paper cites Adaptive random testing: The art of test case diversity,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Adaptive random testing: The art of test case diversity,

Reference 30

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raw_fallback, observed 2026-08-10T15:57:29.162191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.881003Z digest=sha256:3601f44e06a38330745535f2643fefe2e6c82875b695625bd53704867706d98e

Observation be5bb4b6-fd4f-4e69-9f89-70d457fa39e0 · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 31

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:28.884092Z digest=sha256:fd61f157643dd0da554dea7a1a68b7b84168e447f9661328cd7d7fffa46731a6

Observation 505143c0-61ff-4a3a-ae60-55a537e0cc20 · outbound

This paper cites Multitask prompted training enables zero-shot task generalization,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Multitask prompted training enables zero-shot task generalization,

Reference 32

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raw_fallback, observed 2026-08-10T15:57:29.151386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.887654Z digest=sha256:163a8e7c2ff41f1c3e457cfba3905c895a1ff7b154cea2ad0434265603c64d1d

Observation b33829a6-30a8-4ad5-81a8-70d36eac7ad2 · outbound

This paper cites On the use of mutation faults in empirical assessments of test case prioritization techniques,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach On the use of mutation faults in empirical assessments of test case prioritization techniques,

Reference 33

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raw_fallback, observed 2026-08-10T15:57:29.140166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.890893Z digest=sha256:aa6b37938847fe5b292807644c27c758dc5bc4b6faf6da2b972ea8ae79442269

Observation f939b754-e6e2-464c-821f-5c2285b73290 · outbound

This paper cites Augmenting test suites effectiveness by increasing output diversity,.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Augmenting test suites effectiveness by increasing output diversity,

Reference 34

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raw_fallback, observed 2026-08-10T15:57:29.129273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T15:57:28.894017Z digest=sha256:4a852b291f3460bb78cb3167e9ad4c8548ae9a7c641c32d25b3fab695eb60f2c

Observation 01d375d5-a7da-428e-b6fb-338aac9cdbeb · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Adaptive Testing for LLM-Based Applications: A Diversity-based Approach Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 35

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unresolved
no resolver link, observed 2026-08-10T15:57:28.897242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:57:28.897242Z digest=sha256:db2cab40edf42a707b6f51379a4aa242635fa5078e5df2e048bc77047e5c09d7

Pith citing papers

No inbound Pith citation observations are available.