Pith. sign in

Paper Citation Record · LEDGER

Teaching Code Refactoring Using LLMs

As of 14 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2508.09332.

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

pith.paper-citation-record.v1
2508.09332 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T21:09:57.288909Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy36
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c41047fa-bdc4-4f79-94e3-2d70d8a6a4b0 · outbound

This paper cites A survey of software refactoring,.

Teaching Code Refactoring Using LLMs A survey of software refactoring,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.749379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:52.942613Z digest=sha256:c4668d0b8c82b36a697b3561c63a347245a34f035730cfcf52c182ccc9b70302

Observation aada5ffb-30a1-4ae0-9cf1-3dc1a7a9f628 · outbound

This paper cites A comparative study of manual and automated refactorings,.

Teaching Code Refactoring Using LLMs A comparative study of manual and automated refactorings,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.742347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:53.005617Z digest=sha256:ac93cfc0a9879a8f7de363d52326dc5db525fc2cc1c4f601447a668a404bc44c

Observation 3500748f-c393-4575-8bc0-bcb73d028db2 · outbound

This paper cites Peer review in programming courses: Benefits, implementations, and experiences,.

Teaching Code Refactoring Using LLMs Peer review in programming courses: Benefits, implementations, and experiences,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.735256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:53.094204Z digest=sha256:0c0c97b62b2535b14bd836d1778c7e1575167f873214ec2b6753cbaacca4a5a2

Observation a323952c-d600-4f60-a198-8df58a06ce59 · outbound

This paper cites How we refactor, and how we know it,.

Teaching Code Refactoring Using LLMs How we refactor, and how we know it,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.728651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:53.175052Z digest=sha256:27b725922a5b3b303ff00073ea2452dec1555648ada5fbc7b4e25ab42f225599

Observation 537785c9-6c70-47b8-9edd-9a286835edc5 · outbound

This paper cites CodeRL: Mastering code generation through pretrained models and deep reinforcement learning,.

Teaching Code Refactoring Using LLMs CodeRL: Mastering code generation through pretrained models and deep reinforcement learning,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.722202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:53.299181Z digest=sha256:5f0c917b05d1c26130fcbe21ab00cff080aface7abda5235f60d0340576048c6

Observation 2004cfad-b2ea-4c80-b063-a4fdd4526639 · outbound

This paper cites Fowler, K.

Teaching Code Refactoring Using LLMs Fowler, K

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.715899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:53.382065Z digest=sha256:6dc697fe711198884987929a2c873d526aab785f422def44975fc611ef0c1951

Observation 16c6c5bf-9ae6-4f2a-b256-46ce8b59c6f4 · outbound

This paper cites Why we refactor? Confes- sions of GitHub contributors,.

Teaching Code Refactoring Using LLMs Why we refactor? Confes- sions of GitHub contributors,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.708945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:53.454961Z digest=sha256:af66ad51ccba946308b770e053367adcd01b5e5117d7ebc7be2f61581287d937

Observation ab4173fd-41c4-440e-8c5f-97f3122b8f60 · outbound

This paper cites Exploring the impact of inter-smell relations on software maintainability: An empirical study,.

Teaching Code Refactoring Using LLMs Exploring the impact of inter-smell relations on software maintainability: An empirical study,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.703193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:53.499833Z digest=sha256:7a220e5b7f8777776f69ef366ff7c89f6de2c239acbbaeb555d70ea71f78ad0e

Observation 17a07ef2-810c-4d86-b887-7848b3d72db9 · outbound

This paper cites Do they really smell bad? A study on developers’ perception of bad code smells,.

Teaching Code Refactoring Using LLMs Do they really smell bad? A study on developers’ perception of bad code smells,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.696133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:53.573978Z digest=sha256:6238ac021e787bfa8546d1c8658122ed63fb6e8cb6e7f682926adfe88ee053e5

Observation 886e4061-9845-4482-bd31-ad8e83315750 · outbound

This paper cites Teaching object oriented modelling using concept maps,.

Teaching Code Refactoring Using LLMs Teaching object oriented modelling using concept maps,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.688777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:53.670525Z digest=sha256:85319d11ba92e52783227ef7cea089a86099b90f7827320f44200b0524ff78ca

Observation fe078465-51bd-4831-aed6-3f271c6ca447 · outbound

This paper cites An empirical investigation on the use of automated refactoring tools,.

Teaching Code Refactoring Using LLMs An empirical investigation on the use of automated refactoring tools,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.682561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:53.782761Z digest=sha256:cc4d5a7ed2abf2cd7e9c09cd4d719a266dd0e4dad718788df98a5f6c3403552a

Observation dff617ae-4f41-4173-9569-0ea02aba2ce0 · outbound

This paper cites Preparing the next generation of software engineers to tackle cloud- based challenges,.

Teaching Code Refactoring Using LLMs Preparing the next generation of software engineers to tackle cloud- based challenges,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.676179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:53.886181Z digest=sha256:5d8cf625bf1c3f1b94a2b8a0911db76072d8d28ec20ae4a2fb90dd7ba8dec38e

Observation 0b7efa04-7f07-4697-bbe3-6501433bb6b4 · outbound

This paper cites Work for us? An empirical study on student volunteers contributing to OSS projects,.

Teaching Code Refactoring Using LLMs Work for us? An empirical study on student volunteers contributing to OSS projects,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.669544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:53.997249Z digest=sha256:5db1fb99f07e31f544385bcd5768451e869f703fd0117ca534533e3a6b621339

Observation 02aa87a2-1e17-4e99-93f3-a94838398235 · outbound

This paper cites JDeodorant: Iden- tification and removal of type-checking bad smells,.

Teaching Code Refactoring Using LLMs JDeodorant: Iden- tification and removal of type-checking bad smells,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.662872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:54.112474Z digest=sha256:0eb4fe5bde3c94ece15214485ef93467dc2c0a7a50269767c31796260bacd3ba

Observation be71d799-0667-4e1f-b5eb-dc3a0b00f11b · outbound

This paper cites On the diffusion of test smells in automatically generated test code: An empirical study,.

Teaching Code Refactoring Using LLMs On the diffusion of test smells in automatically generated test code: An empirical study,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.656794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:54.200318Z digest=sha256:eabe7e05ac2e29e620a944c62d13c5041e05c4ffe5835e352f31d97b4dda0403

Observation 2b31705b-ebd6-4af9-baf6-334a38b9ba58 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Teaching Code Refactoring Using LLMs Evaluating Large Language Models Trained on Code

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T21:09:54.331700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:09:54.331700Z digest=sha256:3b7d8dee79c7df0e887c281b87a6eef0e5f7aadaa6ee8b642be4218eba8c1b9f

Observation a4dc8804-a672-4dd1-bba7-9eb97096f814 · outbound

This paper cites An empirical study on learning bug-fixing patches in the wild via neural machine translation,.

Teaching Code Refactoring Using LLMs An empirical study on learning bug-fixing patches in the wild via neural machine translation,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.649709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:54.425979Z digest=sha256:3057ff4fad31290f4ed3e49c92c4c8056e244381bc5544f330a9c50caa174eff

Observation a604f8c0-6a83-45da-b48c-f4c9fda06578 · outbound

This paper cites Pythia: AI- assisted code completion system,.

Teaching Code Refactoring Using LLMs Pythia: AI- assisted code completion system,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.642864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:54.564304Z digest=sha256:1c4974414595ddc6b4da7901488b57a7c041a9ae7e5232629a63bda73c221608

Observation d8edbf6f-5fe4-49c9-9587-95c09c00d03a · outbound

This paper cites On the use of large language models for computer science education,.

Teaching Code Refactoring Using LLMs On the use of large language models for computer science education,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.636341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:54.700298Z digest=sha256:3c9c2d29517282a46a758e38e35de840ca3a8c31c6875f2826025453acf6fd77

Observation e7b6d2f3-55f1-4f66-adcf-1ef802b339ca · outbound

This paper cites Fakhoury, D.

Teaching Code Refactoring Using LLMs Fakhoury, D

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.629307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:54.848058Z digest=sha256:ee28bdd68da91592b7ca1dd359c5e665827c63cf594c3f3db6d278411b5b050d

Observation aa293d7f-be9a-47cb-81a6-3ac42fe194e6 · outbound

This paper cites an unresolved cited work.

Teaching Code Refactoring Using LLMs Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-05T21:09:57.622662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:54.972304Z digest=sha256:4fa3f6449b4607598f7952af4dbd3489da07f98a8e3f109ec40039d63cf55a24

Observation 90b6591c-237e-40b0-938e-8cd9a179e717 · outbound

This paper cites Zhang, Y.

Teaching Code Refactoring Using LLMs Zhang, Y

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.615854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:55.170282Z digest=sha256:f41e5e4295d6d317131d233b210cac066783eb1c081bd23ab2f7c097ddbe862c

Observation e66fc305-d8aa-4011-b15f-e32dcac59f13 · outbound

This paper cites Zhang, Z.

Teaching Code Refactoring Using LLMs Zhang, Z

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.609737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:55.269803Z digest=sha256:c20986d76d810ccaf0f7567a291bb2bc574ddbda27b17eb37d38ae8c18a5d2d6

Observation f2e7e16b-6641-4f86-820b-d7fee5f87772 · outbound

This paper cites Thinking like a developer? Comparing the attention of humans with neural models of code,.

Teaching Code Refactoring Using LLMs Thinking like a developer? Comparing the attention of humans with neural models of code,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.602955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:55.408286Z digest=sha256:72e39313ac17e4e543640e6899a6fb08a585d42f6d37dd33056f4137f75d52f6

Observation 9196169f-ad33-4446-96ec-4b0d5f1271da · outbound

This paper cites Refactoring vs Refuctoring Whitepaper,.

Teaching Code Refactoring Using LLMs Refactoring vs Refuctoring Whitepaper,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.595851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:55.572166Z digest=sha256:9d40a4d6976db0cb69a1256619338d4fa74462268236c114382c55f85229f9b0

Observation 3cb4f36c-ab2a-4dfb-8538-e7d80b05a1d2 · outbound

This paper cites An Empirical Study on the Potential of LLMs in Automated Software Refactoring.

Teaching Code Refactoring Using LLMs An Empirical Study on the Potential of LLMs in Automated Software Refactoring

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-05T21:09:55.746914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:09:55.746914Z digest=sha256:463ec1d53d075cb81f6445c812884411f5bec1b485ff1fa3f9ff30a4154e2ac5

Observation 79103c4e-ed5a-4acf-882d-de1718262e5d · outbound

This paper cites How effective are neural networks for fixing security vulnerabilities,.

Teaching Code Refactoring Using LLMs How effective are neural networks for fixing security vulnerabilities,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.589172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:55.909642Z digest=sha256:cd7d030e40c6cd4ecd34bdada54b370da9bb887255267b0cd6472b9c3a22efe2

Observation ffc52115-5489-4ecb-bcd0-2736ef5437d8 · outbound

This paper cites An empirical study of pre-trained model-based code refactoring,.

Teaching Code Refactoring Using LLMs An empirical study of pre-trained model-based code refactoring,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.582549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:56.010288Z digest=sha256:05bf9e8698bf323acf271130a1fa4493d1af2774339cf726033b602699da9c5d

Observation 2fcf4b08-9b40-4d5b-8db5-727117095483 · outbound

This paper cites Can you explain what this class does step by step?.

Teaching Code Refactoring Using LLMs Can you explain what this class does step by step?

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.576215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:56.148020Z digest=sha256:0540103fb444fadd1621f48a01806d711dfed01ade1f395c19b3ae21a77194b8

Observation 45b91f22-018c-4592-8364-02c11c564501 · outbound

This paper cites What potential code smells do you see in this class?.

Teaching Code Refactoring Using LLMs What potential code smells do you see in this class?

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.569883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:56.227166Z digest=sha256:df9d6945f0007ddb00e187b2cd14f113ac8356b726bc007c382deee1b729e129

Observation cd59a146-e35f-4114-8454-50b2980a4443 · outbound

This paper cites Refactor this class to improve readability and maintain- ability.

Teaching Code Refactoring Using LLMs Refactor this class to improve readability and maintain- ability

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.562699Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:56.352003Z digest=sha256:800f790131c0ae31fb40b1949a7e9fa46f7e766298539255eb15e836a688512f

Observation fbeac48f-2452-42cc-8a87-4d37b0d27beb · outbound

This paper cites Refactor this function gradually, explaining each step and ensuring correctness.

Teaching Code Refactoring Using LLMs Refactor this function gradually, explaining each step and ensuring correctness

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.555680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:56.419946Z digest=sha256:2cbfaecb7010706be0d17628f5374e822b5c22dc8890179840870d211bdc3445

Observation c5c82d76-96ac-4cdd-9b11-5e3561398a63 · outbound

This paper cites Provide test cases to verify the correctness of the refac- tored class.

Teaching Code Refactoring Using LLMs Provide test cases to verify the correctness of the refac- tored class

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.548893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:56.517333Z digest=sha256:893fc04883249a69e1e5b06bcb811156db95bde37a7360f56c815e3d160b3325

Observation 1b79f1da-4bf0-4ebb-9cc0-c13c463f4c63 · outbound

This paper cites Here’s an example of a refactored method: [Exam- ple]. Now, refactor this method in a similar way: [Method to refactor].

Teaching Code Refactoring Using LLMs Here’s an example of a refactored method: [Exam- ple]. Now, refactor this method in a similar way: [Method to refactor]

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.541900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:56.633693Z digest=sha256:a37e05e7d79eb5622a7591b335b7e6d74378f9a7710bc95a75b787ef04f3632a

Observation 9ffed83d-d0c0-41f6-bfe3-c2960b507fb6 · outbound

This paper cites Here are three examples of refactored methods: [Examples]. Using these as guidelines, refactor the following method: [Method to refactor].

Teaching Code Refactoring Using LLMs Here are three examples of refactored methods: [Examples]. Using these as guidelines, refactor the following method: [Method to refactor]

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.535506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:56.699056Z digest=sha256:08e903c7d65d8378057471f95375b88e747d4d5d775f0789b7fb5c485c7e5734

Observation ffcb3b06-e868-499e-8ab7-24170c416ec7 · outbound

This paper cites an unresolved cited work.

Teaching Code Refactoring Using LLMs Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-05T21:09:57.528829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:56.808266Z digest=sha256:65d7c958307687a7b9a06ff4e65a23267b4035ec2cfc183f73862c57720547a5

Observation c51dd764-f1bd-4e96-ae1f-bc51bffa14da · outbound

This paper cites an unresolved cited work.

Teaching Code Refactoring Using LLMs Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-05T21:09:57.522510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:56.907205Z digest=sha256:1b67e906a04bd01b8fa77d77f5ca4ad7ced3d032b9203cc105092cf4d7c19364

Observation 792043b1-796b-482d-b9ee-e191991aee7c · outbound

This paper cites an unresolved cited work.

Teaching Code Refactoring Using LLMs Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-05T21:09:57.515006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:56.998494Z digest=sha256:d0b3e1996fe9c4a126609250f2efbbc63b96493f67b83a5f6568aca606a0d076

Observation 430054ed-9660-4304-94a2-2979f15e9e8f · outbound

This paper cites an unresolved cited work.

Teaching Code Refactoring Using LLMs Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-05T21:09:57.507825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:57.116732Z digest=sha256:7822109854dda7feba8e625c8597b3bb74ab736a99d81c5ef1e206b47843a15c

Observation 933ebafc-281b-4aec-984e-445972ccd351 · outbound

This paper cites Now, start with step 1 for this method: [Method to refactor]” D.

Teaching Code Refactoring Using LLMs Now, start with step 1 for this method: [Method to refactor]” D

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.500970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:57.181443Z digest=sha256:32f28253d17939473e12905755af633fb22e5ef587871057ec0d74e7cc583dd4

Observation 85afd920-cb64-47d0-a5e8-fdca3a7131eb · outbound

This paper cites Refactor only one class/method at a time and explain why the change is needed.

Teaching Code Refactoring Using LLMs Refactor only one class/method at a time and explain why the change is needed

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.494126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:57.184474Z digest=sha256:aeede1e6abd4082ca7e167f4c940e5756eaff2a1e5a6c98fdae332cbe6237d9f

Observation 1b71512e-40a8-40e9-aaa7-29558ecc49ea · outbound

This paper cites How does this class fit into the larger project? Suggest improvements in that context.

Teaching Code Refactoring Using LLMs How does this class fit into the larger project? Suggest improvements in that context

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.482197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:57.218834Z digest=sha256:ef6bc5a323f8bffafc38e3b4936eb4b2dc79a493c8e2e763361bd86a1eb1952a

Observation f70a7afe-983d-45fb-b178-c74efb273d32 · outbound

This paper cites Modify this code to follow Ruby on Rails best prac- tices.

Teaching Code Refactoring Using LLMs Modify this code to follow Ruby on Rails best prac- tices

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T21:09:57.424207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-05T21:09:57.288909Z digest=sha256:f2028f585e26b8206bd4bac32c449ef2271916b1a656b53dcb494a816451d3a3

Pith citing papers

No inbound Pith citation observations are available.