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Paper Citation Record · LEDGER

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code

As of 7 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 2 inbound Pith citation observations for arXiv:2511.15817.

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

pith.paper-citation-record.v1
2511.15817 v6

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:49:11.634098Z

measured 55 of 55 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T05:58:41.120953Z

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

53 of 53 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved47
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation cb702348-944a-4c89-bfd9-721cbd88cbe8 · outbound

This paper cites Few-shot training LLMs for project-specific code-summarization.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Few-shot training LLMs for project-specific code-summarization

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:05.744943Z digest=sha256:bd251fcd67d8831414d30ec5de1062fb8ba71ae56ac35e99ec95e09590969dce

Observation d650bd45-2e30-49fc-b206-e3a2285c70fd · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 2

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source=pdf_text observed=2026-08-04T06:49:05.839484Z digest=sha256:4280548618001919f17f36f81941f5bb77753b1321a343dc073cd3c1add1d762

Observation 138fa5c1-d6a4-431d-ab88-de3499341580 · outbound

This paper cites Sampling in Software Engineering Research: A Critical Review and Guidelines.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Sampling in Software Engineering Research: A Critical Review and Guidelines

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:05.934693Z digest=sha256:58a2bfb60250567ee0f2b1ed3c82f1a423a0bcc5a8748c94b921b23158f5fbeb

Observation c7bb6058-f4cb-4fcb-bd98-6da99acada42 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Evaluating Large Language Models Trained on Code

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:06.046598Z digest=sha256:5c3863deacfc2c90b4dc142109a61c2d8a16bfdfa69854ac1c01a521972ebbba

Observation be03a724-b283-4671-a6ea-6c1e69393531 · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 5

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no resolver link, observed 2026-08-04T06:49:06.141854Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T06:49:06.141854Z digest=sha256:9f4154bae50c3ea69ecba63aa176079cf068a9511efd874c508def3e042bd3a3

Observation cf12001a-18b9-4ff5-8b95-a57ccb5b2089 · outbound

This paper cites Cruzes and Tore Dyba.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Cruzes and Tore Dyba

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:06.200602Z digest=sha256:0c099eab2b8edae81cc273fbcd6b2b2e65526d7bceebb282c6c7ae1ce10dd49a

Observation e7c5ddab-0e77-4469-997a-0469a72c7afc · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-04T06:49:06.266463Z digest=sha256:08189f745e9bc3bcd473fcdd92005cc32ccb4b7b744d386b3f534eef43d0fbf4

Observation 547cfa6c-28e8-40b7-9458-c5b0dbea8b33 · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-04T06:49:06.474559Z digest=sha256:c64570e0ff6242a4768987b64c33669eab04ad51ef4d683184ca3b17204828a9

Observation f779a184-ed4f-41b7-b75c-9a1f27cc7cc0 · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 9

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verified exact
doi, observed 2026-08-04T06:53:26.493409Z

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=2026-08-04T06:49:06.691937Z digest=sha256:5eed755596f693d46f628f93f5fcbd607d97811f8d155a49e8344d3f2d72fc75

Observation 8adce556-0857-474e-9905-325800aedbd4 · outbound

This paper cites Mistral 7B.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Mistral 7B

Reference 11

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source=pdf_text observed=2026-08-04T06:49:06.878429Z digest=sha256:ab7a3775b95ec541cf2e10ed6592c0c4c611350fd52335b2c98b3a0022528df7

Observation e13d14ad-bcdf-44af-a01f-56fddd14c7c6 · outbound

This paper cites InferFix: End-to-End Program Repair with LLMs.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code InferFix: End-to-End Program Repair with LLMs

Reference 12

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source=pdf_text observed=2026-08-04T06:49:06.947279Z digest=sha256:6a27cd3471c6445b51fe8282895c027f91fbb7d50e2bb284e93508630f72a738

Observation ebd94fba-b7fb-4ec2-808a-5d8a40eaf7d2 · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:07.070505Z digest=sha256:1b3b5231e5f09da9559b69db221a84097ee2833d190a0bd49fd4cb455a6aa439

Observation 4cdc9301-feb2-4134-ae65-74704c8e8b51 · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:07.165673Z digest=sha256:9a63943b7ec5595bda03b1a446d82d74c3af06ea460bee59406251c146ef358b

Observation 678cb1fb-c918-4529-ad68-d979ead4f61f · outbound

This paper cites The Impact of Prompt Programming on Function-Level Code Generation.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code The Impact of Prompt Programming on Function-Level Code Generation

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:07.249389Z digest=sha256:ff98165e8237b7a20e8c598475e72779c79884d84bae1ed5120e9a46bac259b2

Observation d741f7b4-8c74-445e-b41a-cd87d9e056b6 · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 16

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no resolver link, observed 2026-08-04T06:49:07.326008Z

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source=pdf_text observed=2026-08-04T06:49:07.326008Z digest=sha256:97fb39de3850abcd6312a97bbdaad165e2862235cf8b4e846e19832f62fa02da

Observation d709ccd8-3d7a-47ea-bb2f-a3ede45533ec · outbound

This paper cites Towards Reliable Evaluation of Neural Program Repair with Natural Robustness Testing.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Towards Reliable Evaluation of Neural Program Repair with Natural Robustness Testing

Reference 17

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source=pdf_text observed=2026-08-04T06:49:07.386484Z digest=sha256:567516cc528771a417c5485675b3b3df9613d3fc5f8d4d1cb783f168795f6d21

Observation 467f1f17-883d-4cb7-a250-bffa62ab9c29 · outbound

This paper cites SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code SOEN-101: Code Generation by Emulating Software Process Models Using Large Language Model Agents

Reference 18

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no resolver link, observed 2026-08-04T06:49:07.442627Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T06:49:07.442627Z digest=sha256:09ef7dce9588b0d36197652a6cd84f7001ba4d26f5bc52777ed64bded905849e

Observation 05c266ad-988c-4165-aab7-12e4ff97d56a · outbound

This paper cites StarCoder 2 and The Stack v2: The Next Generation.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code StarCoder 2 and The Stack v2: The Next Generation

Reference 19

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no resolver link, observed 2026-08-04T06:49:07.515843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:07.515843Z digest=sha256:2184745b58cd97d39f09aa461f3dc20787af6a34c097e6d246b22cc1e4d2963f

Observation 17b75d6b-1058-4fbf-b666-2dbcd2bc0ef6 · outbound

This paper cites Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Precision or Peril: A PoC of Python Code Quality from Quantized Large Language Models

Reference 20

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no resolver link, observed 2026-08-04T06:49:07.624403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:07.624403Z digest=sha256:c3403f0761a5934e9fb875cc7cd34e9d77aa406a25f0064eab140d2f32106027

Observation 93deb7bd-19d7-4a82-afe3-205f91a489a1 · outbound

This paper cites Can We Trust Large Language Models Generated Code? A Framework for In-Context Learning, Security Patterns, and Code Evaluations Across Diverse LLMs.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Can We Trust Large Language Models Generated Code? A Framework for In-Context Learning, Security Patterns, and Code Evaluations Across Diverse LLMs

Reference 21

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no resolver link, observed 2026-08-04T06:49:07.787886Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-04T06:49:07.787886Z digest=sha256:b7c9ad28ba17577472588ec1456f3b53927c8ea75802e315d54f121a7f3f3ae6

Observation 02da1c6a-f6b6-4ec5-9ef6-70edad89e2c1 · outbound

This paper cites Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Evaluating the Effectiveness of LLMs in Fixing Maintainability Issues in Real-World Projects

Reference 22

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no resolver link, observed 2026-08-04T06:49:07.865706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:07.865706Z digest=sha256:525693a04fc79073464c92ebb07cc204560909716989f3e2995e6d0775083822

Observation bab71050-9250-410e-955c-8194910a99c9 · outbound

This paper cites On the Diffusion of Test Smells in LLM-Generated Unit Tests.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code On the Diffusion of Test Smells in LLM-Generated Unit Tests

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:08.029259Z digest=sha256:3bad3975f372cc49d58da645d8f70d3c737b4659bb4cb6dbaa1b1c0ff8934cf1

Observation c175bb4f-2c0d-4b26-be0d-b59c3c25b458 · outbound

This paper cites Palacio, Daniel Rodriguez-Cardenas, Alejandro Velasco, Dipin Khati, Kevin Moran, and Denys Poshyvanyk.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Palacio, Daniel Rodriguez-Cardenas, Alejandro Velasco, Dipin Khati, Kevin Moran, and Denys Poshyvanyk

Reference 24

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source=pdf_text observed=2026-08-04T06:49:08.111414Z digest=sha256:e950f352ae789519f49736bd3cc3c3d4d16afe24976ebf67b1f157fbc6008b96

Observation 20dac522-2035-49e8-8211-22363ee140ad · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-04T06:49:08.163894Z digest=sha256:0e437d8ebe6d5db28308b181e110bf85a6918862f736d644d0910961a29eb4b4

Observation 3ff0be6f-3915-4c01-9f90-26279f77ca99 · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 26

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no resolver link, observed 2026-08-04T06:49:08.252378Z

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source=pdf_text observed=2026-08-04T06:49:08.252378Z digest=sha256:1aa4533b38b7e86a62671f3ef905bded2ddb6cb745be93885e1f1ad7393cf7d2

Observation eb9f34ff-0d43-4973-b05f-9c1fab3b12c4 · outbound

This paper cites Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Asleep at the Keyboard? Assessing the Security of GitHub Copilot's Code Contributions

Reference 27

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source=pdf_text observed=2026-08-04T06:49:08.330142Z digest=sha256:ced41378e2466bc92b6d98b2c5021acbcf869d5f8e53782989b16a2cbdf66989

Observation c1a02a9d-df7d-4151-988d-022d44db193c · outbound

This paper cites 2018.The Book of Why: The New Science of Cause and Effect(1st ed.).

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code 2018.The Book of Why: The New Science of Cause and Effect(1st ed.)

Reference 28

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source=pdf_text observed=2026-08-04T06:49:08.395020Z digest=sha256:bd3da1bb60cc3ba4f395f3eb95749e27e63561bcbfe50f128306624288c450ac

Observation 8135f9e5-7d4c-4a6c-b4d0-c6201f215f01 · outbound

This paper cites Qwen2.5 Technical Report.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Qwen2.5 Technical Report

Reference 29

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no resolver link, observed 2026-08-04T06:49:08.436609Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:08.436609Z digest=sha256:e8f403549ce45d7ff94f9f206e478406f1eeed7ee5f6cc36284d2dddce3d64d4

Observation 10e7115c-291b-4f89-94d0-440766cd94f9 · outbound

This paper cites Sánchez-García, and Juan Car- los Pérez-Arriaga.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Sánchez-García, and Juan Car- los Pérez-Arriaga

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:08.567486Z digest=sha256:f954784b7a2829d662e92b5457d512a6e0b8070d46bd446262c0a07d95ca5340

Observation 62cff749-8486-46c0-ae29-2ae84fa6d2fe · outbound

This paper cites CodeBLEU: a Method for Automatic Evaluation of Code Synthesis.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

Reference 31

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source=pdf_text observed=2026-08-04T06:49:08.638543Z digest=sha256:624c6af2944b7924c3e18850ba5278a097062c7c7a24ed09a4d56085f44f292c

Observation 78594478-5816-4221-ba1b-8356c8171e5a · outbound

This paper cites Benchmarking Causal Study to Interpret Large Language Models for Source Code.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Benchmarking Causal Study to Interpret Large Language Models for Source Code

Reference 32

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source=pdf_text observed=2026-08-04T06:49:08.796729Z digest=sha256:ab2cc5eb9f51c89baec33129c26bd3e96ca58bb2ca78dda169b3707e09b4300f

Observation c82abffe-873f-4a3f-b3a4-1f66eb628ae5 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Code Llama: Open Foundation Models for Code

Reference 33

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source=pdf_text observed=2026-08-04T06:49:08.893302Z digest=sha256:971071a39d93061ff8a162aac7ffa806f33f9c6c913e1ba8a98909e94fd14c7f

Observation d948be2a-1ca2-462e-9238-161444dc2836 · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 34

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no resolver link, observed 2026-08-04T06:49:09.043329Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:09.043329Z digest=sha256:c17ae3fcd8a151774e24995f135e88445764cc4d823ee4487218fc0438af24ed

Observation 3d2f969d-7966-4788-ba46-415dc18407ee · outbound

This paper cites DoWhy: An End-to-End Library for Causal Inference.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code DoWhy: An End-to-End Library for Causal Inference

Reference 35

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source=pdf_text observed=2026-08-04T06:49:09.194955Z digest=sha256:e48b311167e773c772d2606121009e705c88fc994cd74dfeb6da91a1d8f0c9ce

Observation 1630e8c7-8403-4335-be65-17f75d70c874 · outbound

This paper cites Majumder, Maisha R.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Majumder, Maisha R

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:49:09.359797Z digest=sha256:4b0a9eef6c79e3f3400892f24c4de8b363b8bbf6abb776284490ca2c3b0ee44d

Observation ba12847e-d0fb-47a4-8d2c-13e2e6fa69c6 · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 37

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source=pdf_text observed=2026-08-04T06:49:09.590514Z digest=sha256:d16c6f26481dfd2241a7ff9aab934462127e388c5d7b60f3fb68ba67abf2e133

Observation 5e4bdbb0-0806-41a7-b3dd-794e381522e9 · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 38

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Observation e5fc96cb-55ff-4786-8074-c90b5cae854f · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 39

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Observation 8fd8663d-bb06-4b74-94d8-5bff821b0586 · outbound

This paper cites Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Code Readability in the Age of Large Language Models: An Industrial Case Study from Atlassian

Reference 40

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Observation 579c94d2-d8d7-43b9-9cc9-0c983d0cb6e8 · outbound

This paper cites Bugs in Large Language Models Generated Code: An Empirical Study.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Bugs in Large Language Models Generated Code: An Empirical Study

Reference 41

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Observation eb8e03aa-b46d-4e9e-97fa-01986a6c069e · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 42

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Observation 75937992-3c33-4279-abbe-2724dc63252a · outbound

This paper cites How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code How Propense Are Large Language Models at Producing Code Smells? A Benchmarking Study

Reference 43

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Observation 1464a0db-61f8-4841-8267-7b503aaad29e · outbound

This paper cites A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code A Systematic Literature Review on the Use of Deep Learning in Software Engineering Research

Reference 44

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Observation 66268154-c638-40f0-a6c8-f34844030598 · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 45

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Observation f276b83f-c082-417e-acfb-9633bf09bfd8 · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 46

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Observation dc875122-ec02-4527-a6f4-7cd87fb1eb97 · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 47

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Observation b3730327-edd3-4568-b663-afb970f6c6e6 · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 48

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Observation de94bb6e-a4bd-4521-a930-35928cfeb8fa · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 49

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Observation 88c14944-9a3f-4d3b-9ce6-2b119b05a107 · outbound

This paper cites an unresolved cited work.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Unresolved cited work

Reference 50

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Observation dac42bef-5b25-4d36-b2f1-8906c18b8a89 · outbound

This paper cites Beyond Correctness: Benchmarking Multi-dimensional Code Generation for Large Language Models.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Beyond Correctness: Benchmarking Multi-dimensional Code Generation for Large Language Models

Reference 51

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Observation aa3022c3-7412-4315-9e0d-156ad4680472 · outbound

This paper cites InProceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering (Singapore, Singapore)(ASE ’16).

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code InProceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering (Singapore, Singapore)(ASE ’16)

Reference 2016

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Observation ecf0bded-1ae8-49f9-8493-8a9c62a81490 · outbound

This paper cites 2023), 111741.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code 2023), 111741

Reference 2023

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Observation c0a5cddf-b0f7-4703-a5f4-187656e6e74d · outbound

This paper cites Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT.

A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code Studying How Configurations Impact Code Generation in LLMs: the Case of ChatGPT

Reference 2025

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source=pdf_text observed=2026-08-04T06:49:06.377877Z digest=sha256:ac53971f85b959cbce04d78fce75805cc670de04d29be9b461f0a4d80601e02c

Pith citing papers

Observation 53c7b57f-8bbd-4ceb-a2c5-c2bc145ef570 · inbound

SmellBench: Evaluating LLM Agents on Architectural Code Smell Repair cites this paper.

SmellBench: Evaluating LLM Agents on Architectural Code Smell Repair A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code

Reference 24

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arxiv_id, observed 2026-08-04T02:39:45.615352Z

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

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Observation 6ea58c48-5844-41b8-a140-23242dfa55fd · inbound

SmellBench: Evaluating LLM Agents on Architectural Code Smell Repair cites this paper.

SmellBench: Evaluating LLM Agents on Architectural Code Smell Repair A Causal Perspective on Measuring, Explaining and Mitigating Smells in LLM-Generated Code

Reference 24

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arxiv_id, observed 2026-08-04T02:39:45.615352Z

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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