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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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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  • malformed identifier0
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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:a23abf8753e28113f9fed80ea382454ea67d82da393a609ad7a131af32aadd43

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=sha256:674ab639c2c6daac5a768f6e4ade43047c5ffcabb0fb7366b52a6c39ea101c2c

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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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:7650003562275f134f782e9e5518fa2aea32641a296f0baf5132e3f5171e7aa0

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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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:ebd7642261345c4d529569e80ef05c321c700a375ccaac16bbbfb07f23743b7b

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=sha256:74594d3a2866e79e955be29a88d289717276efe25ecd2595c3e2c43e10066939

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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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:683ea1182484e3c559a3aa08c03e7a76a6f3c207e1346ca42c123d8cbc4a030e

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=sha256:40f21f0f32c3842745b0a52eedcb4caeaf06c4e3d833c465128afb50e3580fe7

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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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:b7326d4bb7c44c59f3032a13630f708d0e04c5f1b7c6f44be8ae04a18e715b7b

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=sha256:29997e06a0e284caf8492114793597bf9c18e51d62c3e0495a1c7b0db2a894e0

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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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:40a5a12dedfb5aa61a894b8a9c04bb8b0a1b6f8fd2f47b9c33379f595bc17d3e

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=sha256:40e63648bfae4962c3becfaf2ff81858bb4c6005bd6a578e97ad91f8cc344331

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=sha256:1548e707d1e15959c05e5158d7c5beb8ba297304cc9514c2dc3407449a78fdbe

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:ef62c8130801a2e4d9b8c3458092d089f08a13658960275b21cc90ea5f3cfde0

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=sha256:2fc134a0ea9fb8ab7f52b6acae876024e8aa6de18aa1fc48d07c9cafa85e62d5

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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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:736b4cde816c2d6d95ad97341d179367962ecbad942b65b7129b58ce9ce3bf70

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=sha256:5da9b0fa3bae66a54ed2c6c3bf0cbb690dd95e2767344f05ba959a7351f9cab9

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:f0a69c985206dfb2ed5d95b3a1e9fb92e899b2211721aa1a618352f136c21d6e

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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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:9d39e335f04f1b10e24b0abd609fb68d5a52838fc873abdb4241343380deff30

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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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:f028f1b9a9dbccd864289e44fbf0f06815035f65410c80196b7e9d4398818da3

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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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:aba95bebaac0fc32a0b6c5298dba9e6aa2bea11b9c27de4a0ad0f9b387016201

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=sha256:328b2d39934fb9439796e4a55d0a8931e4451a8073055edf0f064e44b9e34a1f

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=sha256:8206610f4dc436b0b6b176f0a3d2d6ebb8daff557b1dbac077517d7d1fb1a562

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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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:226d47781c0f4972e47adb0058549f143879e509b26091bc3643e6f03d2cf7a3

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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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:5162f796e4dcc42470965f0caac166743326d113ef55c6b0f3751b7dd3f726c3

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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source=pdf_text observed=2026-07-11T08:03:15.665668Z digest=sha256:e28da292cb426e1c4c40a5c4330a4f101a214e4eb8f57e3249bb47357627ce0b

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:c2d2623c5e69404e74332dab3eec9854c30cb37061ec30e5457f13b2c53e6393

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=sha256:592801169193dc5d7c5579d43bfbf544ad780706016b8518a0ca40d22e5ed48d

Pith citing papers

No inbound Pith citation observations are available.