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Paper Citation Record · LEDGER

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants

As of 10 August 2026, this Paper Citation Record lists 31 of 31 outbound references and 0 inbound Pith citation observations for arXiv:2607.05149.

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

pith.paper-citation-record.v1
2607.05149 v1

Coverage vector

measured 31 of 31 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T08:03:15.665668Z

measured 31 of 31 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

31 of 31 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d078c7cb-5e8d-4520-aa8a-b35a98ce87c3 · outbound

This paper cites An empirical study on mutation, statement and branch coverage fault revelation that avoids the unreliable clean program assumption,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants An empirical study on mutation, statement and branch coverage fault revelation that avoids the unreliable clean program assumption,

Reference 1

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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:953fe06b78a3a205490bbbc4488bc80a4288040ee805967f8a55fbfe5e3c818c

Observation 0ef3b8c3-b011-4483-bff6-6faccdc5e32c · outbound

This paper cites Chapter six - mutation testing advances: An analysis and survey,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Chapter six - mutation testing advances: An analysis and survey,

Reference 2

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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:0f483b51d1effa67ad5952795886f508a04f9cc8dec38aac602272011d14f27d

Observation cec42116-bcf6-4ad3-bd12-be7fb213ca30 · outbound

This paper cites Selecting fault revealing mutants,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Selecting fault revealing mutants,

Reference 3

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Observation c60d7183-b878-42bc-a538-a63d669a50bf · outbound

This paper cites Prioritizing mutants to guide mutation testing,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Prioritizing mutants to guide mutation testing,

Reference 4

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Observation be66dff5-2441-492e-ab8a-787f883bdcfd · outbound

This paper cites Deepmutation: A neural mutation tool,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Deepmutation: A neural mutation tool,

Reference 5

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Observation 3854f4dc-ba77-4fec-892d-c34f52b2be5e · outbound

This paper cites Time to clean your test objectives,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Time to clean your test objectives,

Reference 6

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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:7a2b9d34b818690841aa32f77343f5486b436c78476055a822a84333b0f63cf4

Observation 235dc621-93da-496c-a3f3-c258db206f33 · outbound

This paper cites Trivial compiler equivalence: A large scale empirical study of a simple, fast and effective equivalent mutant detection technique,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Trivial compiler equivalence: A large scale empirical study of a simple, fast and effective equivalent mutant detection technique,

Reference 7

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Observation 58cbfcac-df1a-4d5e-a17e-cae84e6648a3 · outbound

This paper cites Employing second-order mutation for isolating first-order equivalent mutants,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Employing second-order mutation for isolating first-order equivalent mutants,

Reference 8

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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:3398b7000229cb4e1a76896865e966ad244f5899a2a16f94a53d97aad6405081

Observation 2800f47b-9d28-4d37-b60d-1b7b0e1b4d00 · outbound

This paper cites Mujava: an automated class mutation system,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Mujava: an automated class mutation system,

Reference 9

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Observation 9001af2e-e2f5-45cc-a108-3dca61b59ca6 · outbound

This paper cites Assessing and improving the mutation testing practice of pit,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Assessing and improving the mutation testing practice of pit,

Reference 10

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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:f893a4c11d0840b35d446425c8ada58961b6773947079ea0abcd8fce777b6069

Observation b4c11f0f-f65a-4824-8037-78fc6363ac66 · outbound

This paper cites Pit: A practical mutation testing tool for java (demo),.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Pit: A practical mutation testing tool for java (demo),

Reference 11

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Observation a5e3cecb-2c12-4202-a847-1aadc0abc519 · outbound

This paper cites Ammann and J.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Ammann and J

Reference 12

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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:9755ba58498aabdf14b782ceb29e3eb9ed7b81d2e1e9c4eef7763943d99a86e2

Observation b316bcc7-75a9-4407-9b6d-ad9f41aed23e · outbound

This paper cites An experimental determination of sufficient mutant operators,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants An experimental determination of sufficient mutant operators,

Reference 13

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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:e7bf08412c361e07a78c3cb5c426a339874ee2c37a6f8799ee9f8a1ae78b86cc

Observation a0f02a0d-cbe2-408c-a30f-e3554816f297 · outbound

This paper cites How effective are mutation testing tools? an empirical analysis of java mutation testing tools with manual analysis and real faults,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants How effective are mutation testing tools? an empirical analysis of java mutation testing tools with manual analysis and real faults,

Reference 14

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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:1ee7a9e8e973eab6b0ae4809305360271bf5aa23f18c624d7b7bb7443f74614c

Observation 4b0630ca-345f-41f3-a0d0-e10a3aca284a · outbound

This paper cites Learning to construct better mutation faults,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Learning to construct better mutation faults,

Reference 15

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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:f33dfafb6a398b2162058c0f69f230c857a5677a941435af5b5e9acbaeb6f3f1

Observation 1f28b6d5-7bd1-499f-94eb-a5df0afa07dd · outbound

This paper cites Semantic bug seeding: A learning-based approach for creating realistic bugs,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Semantic bug seeding: A learning-based approach for creating realistic bugs,

Reference 16

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Observation a37233f1-a564-4478-b087-731f17a49831 · outbound

This paper cites Ibir: Bug report driven fault injection,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Ibir: Bug report driven fault injection,

Reference 17

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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:8b502889f75c328629c8040ab5c94bf80d360151117d9e3e4ad80b8c7fbf0ada

Observation b5949d5d-db6d-4d2f-9bb9-e3d810bff1ba · outbound

This paper cites Untangling changes,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Untangling changes,

Reference 18

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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:e707fc76e86cc792ecf543ed6d104decc35f6f36ed7e02ec1fe42bea1b2e4b8b

Observation a4980740-836d-4673-87c5-5d72f5f0285b · outbound

This paper cites µbert: Mutation testing using pre- trained language models,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants µbert: Mutation testing using pre- trained language models,

Reference 19

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Observation 50abd9e5-f6c4-4e51-9ae1-ea65f0712f13 · outbound

This paper cites Efficient Mutation Testing via Pre-Trained Language Models.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Efficient Mutation Testing via Pre-Trained Language Models

Reference 20

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Observation ae4484b8-4fd1-49db-b8d6-95fc7c5e1c31 · outbound

This paper cites Codebert: A pre-trained model for programming and natural languages,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Codebert: A pre-trained model for programming and natural languages,

Reference 21

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Observation 2e0184f3-ccf2-46e9-a163-042be5e73dd6 · outbound

This paper cites Syntactic versus semantic similarity of artificial and real faults in mutation testing studies,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Syntactic versus semantic similarity of artificial and real faults in mutation testing studies,

Reference 22

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Observation 7abd169b-e7b5-4044-aad1-4bb552854803 · outbound

This paper cites On comparing mutation testing tools through learning- based mutant selection,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants On comparing mutation testing tools through learning- based mutant selection,

Reference 23

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Observation 08c1c458-e26d-4d31-936d-e793ffc86ee1 · outbound

This paper cites Github copilot,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Github copilot,

Reference 24

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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:d01ba823b32737ccc7c5401254b50ee53f0133d4d34c75d000c2a120138229e0

Observation ae4d3d94-557e-4cc8-aa78-d19360f97fa4 · outbound

This paper cites Amazon codewhisperer,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Amazon codewhisperer,

Reference 26

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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:57c60fe27599756212a77626e4fd92b8d09b3612d757fe3fcf212fa200793f3a

Observation b07dc96b-c7dc-4ea8-8018-d41973176e54 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 27

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Observation e2b3a794-5032-43a2-833c-1f51718dc813 · outbound

This paper cites Mutant quality indi- cators,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Mutant quality indi- cators,

Reference 28

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Observation 3018c40d-bc5c-4ea4-b1d7-c456aab13656 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Evaluating Large Language Models Trained on Code

Reference 29

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Observation 842bc14c-4cca-44ad-b827-81d4a5ed7fb4 · outbound

This paper cites Codegeex: A pre-trained model for code generation with multilingual benchmarking on humaneval-x,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Codegeex: A pre-trained model for code generation with multilingual benchmarking on humaneval-x,

Reference 30

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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:c233a54110d74df9e1510c531c0a0ac52da62546db9815cf0bc1a22c793e50c4

Observation 27c3e51d-3de4-4f09-9c15-3efaa6010d05 · outbound

This paper cites Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Is your code generated by chatgpt really correct? rigorous evaluation of large language models for code generation,

Reference 31

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Observation 46cfc84d-2796-4d0c-aaae-eb0eb0894c91 · outbound

This paper cites Mutant subsumption graphs,.

Intent-Based Mutation Testing: From Naturally Written Programming Intents to Mutants Mutant subsumption graphs,

Reference 32

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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:279e20749e27e3ec5c697da1412005f178a4676c1d12dbe470c7364efe27b413

Pith citing papers

No inbound Pith citation observations are available.