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Paper Citation Record · LEDGER

Teaching Code Refactoring Using LLMs

As of 10 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 2026-08-10T06:31:04.303077+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

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:53.299181Z digest=sha256:601a77be93ff8968c5c9c299ff2e4b11a75ed9a83ec32444db8c0accc67612ae

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

This paper cites Fowler, K.

Teaching Code Refactoring Using LLMs Fowler, K

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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
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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 2026-08-10T06:31:04.303077+00:00.

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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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:53.499833Z digest=sha256:c054311ea0bf01fe95fec38d90531f31d959c234b5dc81844c06180bb8f12c7b

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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:53.573978Z digest=sha256:3b609582a43e82955b54ee139fe8f9335ade18e9155f0e7aa57fdec22e706b0d

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:53.670525Z digest=sha256:065f9837055238016deed7ca76d7c58ec908370536ef1005b1a928a1fd97cd12

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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:53.782761Z digest=sha256:e4b5db569167dc65b3a2c010b1fe511bb5db0fa6e08b162bd3970cd2c2a2f349

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
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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 2026-08-10T06:31:04.303077+00:00.

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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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:53.997249Z digest=sha256:08f354e6d08f6714a64148a1d9d99d73c5d823761a0ff3db36b286dc92cc6cb2

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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:54.112474Z digest=sha256:88a820930f0155b2bb89488eb8cc0d1e89d583923cc979fe316f8be5cec46bff

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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:54.200318Z digest=sha256:ca33cc50483adf95f6e749e346bff0e10fbc55394bc1f21fa465812819217096

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

This paper cites Fakhoury, D.

Teaching Code Refactoring Using LLMs Fakhoury, D

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:54.848058Z digest=sha256:3f2788cd90ee751ddbef43b8c40063e1897d8148a7b8307eef5652d0abbccbc3

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

This paper cites an unresolved cited work.

Teaching Code Refactoring Using LLMs Unresolved cited work

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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

This paper cites Zhang, Y.

Teaching Code Refactoring Using LLMs Zhang, Y

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:55.170282Z digest=sha256:9c8827242755edac1c67c2bb427f6b783db16ad8f9f14688ebb95b0049d70a12

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

This paper cites Zhang, Z.

Teaching Code Refactoring Using LLMs Zhang, Z

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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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
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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 2026-08-10T06:31:04.303077+00:00.

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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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:55.572166Z digest=sha256:8ac531f84d6622ec8e996fb674fa731c1c655d1f20d54b5ea7183183fdd1308d

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:e91f0a11d75c6b284a7f8f4ae32c1d8e9697b73cdac16413c4d3d8f48533cbf7

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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:55.909642Z digest=sha256:2a1214a093c63bf0110a54a13109d64ae31809f06c734478e146ef9bdbeac5bf

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:56.010288Z digest=sha256:dcbc45d797a2e9176de25c6ffcc303145ecf731c4d99a1edf49f4c0458ff508b

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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:56.148020Z digest=sha256:b5172b76bb6bbad17bab4dc9c487a0844c82103a00476df2026f5132355bfff5

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:56.227166Z digest=sha256:5080b58d584b63c9e0ceb01ce8fb0c5c779c5f00bf3110d42b0cd22e7d81f5d3

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

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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:56.352003Z digest=sha256:eaf47b9665f5b076c38cfcc13efd022a069b0c1b66504bcf62a4c4b1e015fc75

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:56.419946Z digest=sha256:e71e12a0438002cffb31f3ef10a2f3f529b4601ac0838a2bda4b7021cd288202

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
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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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:56.517333Z digest=sha256:62bf32038e63d9166e3201b641105fd2f888c46b67db65af2f2e4fd06cdef551

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:56.633693Z digest=sha256:9e01ed7b054c2eb254c543373c57cbca02e678c7423497d34bb8377854aa2d94

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:56.699056Z digest=sha256:be89626c9c03bfe79acfc659dfa2842226a9484221f0594c5be51da21b2228e4

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:56.808266Z digest=sha256:098230554560903bca30693599ec9a02d2ae64a3d6734e5de91ab4c0591c99ca

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:56.907205Z digest=sha256:c93d9f2a59762b21b4ccb3737614e383fc19d420543d677f67554a1bd61da558

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:56.998494Z digest=sha256:ec1e7a07013bb21e96b25765c46d282dc6ace92fbf9d1a6464eff0d660d103ca

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:57.116732Z digest=sha256:edfe89d43816647e5988d19126c28da5d010c6da174e3553aa8949d9b332208b

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:57.181443Z digest=sha256:3adf6cbdf7507631da3fb3d3a68849349b4de918166a37b46ff1c596267f8d04

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:57.184474Z digest=sha256:5d16d30fa3c740cf2c50e9cd4b0705df4d156908d30acd1f24823a63841814af

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:57.218834Z digest=sha256:df9223696618c92ad2b4c5e38500f7600b9734e207b7096326eebb0f2b4a16dc

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T21:09:57.288909Z digest=sha256:24ace08b38eabc2fd7ea49abc6f63e2cac08fe3a265eb119b8505bdc3b33b0e8

Pith citing papers

No inbound Pith citation observations are available.