Paper Citation Record · LEDGER

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough?

As of 15 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 4 inbound Pith citation observations for arXiv:2502.07611.

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

pith.paper-citation-record.v1
2502.07611 v1

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T12:12:58.403172Z

measured 76 of 76 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:56:31.046942Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T14:11:49.510770Z

Reference resolution

72 of 72 outbound references displayed

verified exact1
verified fuzzy40
unresolved31
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ec0e6642-e2f8-414b-b581-67d11da4d0d2 · outbound

This paper cites Do code and comments co- evolve? on the relation between source code and comment changes,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Do code and comments co- evolve? on the relation between source code and comment changes,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:59.178075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f70187d8-e02b-463c-98f7-23a86b02f39d · outbound

This paper cites Analyzing the co- evolution of comments and source code,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Analyzing the co- evolution of comments and source code,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:59.166793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fab69c86-37ee-4cb1-857c-ccdf78028962 · outbound

This paper cites How do developers document database usages in source code?(n),.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? How do developers document database usages in source code?(n),

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:59.154703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e0de4f5a-d4ed-4f82-b342-8395544843e2 · outbound

This paper cites A large-scale empirical study on code-comment inconsistencies,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? A large-scale empirical study on code-comment inconsistencies,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.132270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17027371-c6af-46e9-8440-97d195a72e2a · outbound

This paper cites A decade of code comment quality assessment: A systematic literature review,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? A decade of code comment quality assessment: A systematic literature review,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:59.137392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7171a061-552c-419e-a9e7-c5489cf37d5b · outbound

This paper cites A study of the documentation essential to software maintenance,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? A study of the documentation essential to software maintenance,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:59.125970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation efe7bf8a-0b17-47f9-b224-4ef122c499ee · outbound

This paper cites Improved auto- matic summarization of subroutines via attention to file context,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Improved auto- matic summarization of subroutines via attention to file context,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:59.114496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 793a6bb0-9d7a-4d71-8cb3-eda7e584569e · outbound

This paper cites Deep code comment generation with hybrid lexical and syntactical information,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Deep code comment generation with hybrid lexical and syntactical information,

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.148490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8de36cdb-61b7-4bc0-bd60-1c3593c50911 · outbound

This paper cites A neural model for gener- ating natural language summaries of program subroutines,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? A neural model for gener- ating natural language summaries of program subroutines,

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.151928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9c86c10-7d62-40fc-b7fe-4fd1455de907 · outbound

This paper cites Retrieval-based neural source code summarization,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Retrieval-based neural source code summarization,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:59.090933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 97a07c59-8226-49d7-b301-0119a2298a6c · outbound

This paper cites Studying the usage of text-to-text transfer transformer to support code-related tasks,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Studying the usage of text-to-text transfer transformer to support code-related tasks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:59.079435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e78f9aca-a60d-40bf-8ad7-2590d3b8371f · outbound

This paper cites Code structure–guided transformer for source code summarization,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Code structure–guided transformer for source code summarization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:59.068607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c39506bb-0f03-40e1-ae46-28c076c83f70 · outbound

This paper cites Attention is all you need,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Attention is all you need,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.168794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4771e861-247d-41d3-8735-443e7fd7ef2a · outbound

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

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.172228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 241f10c1-6463-45e4-94a8-18cddeb29518 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Exploring the limits of transfer learning with a unified text-to-text transformer,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.176255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4b1c104-37c9-4c92-8766-3830064fd3c3 · outbound

This paper cites Code generation as a dual task of code summarization,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Code generation as a dual task of code summarization,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:59.043299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3400904e-bdf5-49a6-8293-e7aee857a769 · outbound

This paper cites Intellicode compose: Code generation using transformer,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Intellicode compose: Code generation using transformer,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.184088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aeaaec0c-76e4-4a11-855b-9e9799de8233 · outbound

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

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Is your code generated by ChatGPT really correct? rigorous evaluation of large language models for code generation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:59.025217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6a55a61d-3d72-4470-b134-61d7493cb725 · outbound

This paper cites SynCode: LLM Generation with Grammar Augmentation.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? SynCode: LLM Generation with Grammar Augmentation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.190727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9cbd31fb-fae7-4ebb-a943-19b04be26110 · outbound

This paper cites Inferfix: End-to-end program repair with llms,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Inferfix: End-to-end program repair with llms,

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.194483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2388f30-fb90-4458-929d-c04f4bc6bb7f · outbound

This paper cites Neural transfer learning for repairing security vulnerabilities in C code,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Neural transfer learning for repairing security vulnerabilities in C code,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:59.007155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d31ef222-004d-4871-a48f-e24af1128aa4 · outbound

This paper cites Sequencer: Sequence-to-sequence learning for end- to-end program repair,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Sequencer: Sequence-to-sequence learning for end- to-end program repair,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.995918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3f3cd8b7-e492-4bf3-8e4d-90053edaaaf6 · outbound

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

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? An empirical investigation into learning bug-fixing patches in the wild via neural machine translation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.984572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 6152a493-5473-49ab-a9e4-57b3d3dd9468 · outbound

This paper cites Summarizing source code with transferred API knowledge,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Summarizing source code with transferred API knowledge,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.973432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation cfc35aea-7642-4f6b-b09b-c71916a34f20 · outbound

This paper cites Deep code comment genera- tion,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Deep code comment genera- tion,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.961201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e499ea84-e276-472a-b6f4-3202bb3e04d6 · outbound

This paper cites Improved code summarization via a graph neural network,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Improved code summarization via a graph neural network,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.950809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 764bcda6-cdcf-4956-8ee5-4ccef0861c32 · outbound

This paper cites Fair and balanced?: bias in bug-fix datasets,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Fair and balanced?: bias in bug-fix datasets,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.939004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 71978b81-deca-4ece-a005-7f46cb9f60ab · outbound

This paper cites It’s not a bug, it’s a feature: how misclassification impacts bug prediction,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? It’s not a bug, it’s a feature: how misclassification impacts bug prediction,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.925763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 11132878-8ab7-42c4-b6f5-a9cfa919fcd2 · outbound

This paper cites The missing links: bugs and bug-fix commits,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? The missing links: bugs and bug-fix commits,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.913416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 491f1c06-4745-4356-ba67-847c4697f991 · outbound

This paper cites Are we building on the rock? on the importance of data preprocessing for code summarization,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Are we building on the rock? on the importance of data preprocessing for code summarization,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.901309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 998c86ac-0802-4c1e-af74-82ee21ee75aa · outbound

This paper cites On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.233229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19f0e6ba-4985-4b20-886e-5f1423187b32 · outbound

This paper cites On the coherence between comments and implementations in source code,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? On the coherence between comments and implementations in source code,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.890150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 803eae6e-d974-4902-838e-bca8f18e50e2 · outbound

This paper cites Evaluat- ing code summarization techniques: A new metric and an empirical characterization,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Evaluat- ing code summarization techniques: A new metric and an empirical characterization,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.878301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e94686ea-72b0-4ad8-87cf-6b94fb57c2dc · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Bleu: a method for automatic evaluation of machine translation,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.244563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec02d0d6-d0c7-4da0-8656-ea61d6d6be20 · outbound

This paper cites CodeT5+: Open Code Large Language Models for Code Understanding and Generation.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? CodeT5+: Open Code Large Language Models for Code Understanding and Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.251792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7559514-4011-4d72-8685-0db73ea833c5 · outbound

This paper cites Codereval: A benchmark of pragmatic code generation with generative pre-trained models,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Codereval: A benchmark of pragmatic code generation with generative pre-trained models,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.255582Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6793791a-e941-4735-ad04-df8128ebb379 · outbound

This paper cites On the robustness of code generation techniques: An empirical study on Github CoPilot,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? On the robustness of code generation techniques: An empirical study on Github CoPilot,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.845328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e2279819-3a1c-4ddd-8d11-fa10af372498 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Rouge: A package for automatic evaluation of summaries,

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.262282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd7ae4d0-6466-4f95-9425-7b662e0fec20 · outbound

This paper cites METEOR: An automatic metric for MT eval- uation with improved correlation with human judgments,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? METEOR: An automatic metric for MT eval- uation with improved correlation with human judgments,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.833423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ae02c32c-43e2-445f-a8f8-6ee3d464711c · outbound

This paper cites MPNet: Masked and Permuted Pre-training for Language Understanding.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? MPNet: Masked and Permuted Pre-training for Language Understanding

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.269499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 868fde40-11d6-476f-b620-1e602884ae63 · outbound

This paper cites Automatic semantic augmentation of language model prompts (for code summarization),.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Automatic semantic augmentation of language model prompts (for code summarization),

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.274293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 963f6646-f342-46a2-bede-7952f4d336fd · outbound

This paper cites RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? RepoHyper: Search-Expand-Refine on Semantic Graphs for Repository-Level Code Completion

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.277868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcd083a2-9203-4165-a1db-54e9814be7a1 · outbound

This paper cites How important are good method names in neural code generation? a model robustness perspective,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? How important are good method names in neural code generation? a model robustness perspective,

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.282288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60b53a27-2607-4ed9-ba7e-eea05b539578 · outbound

This paper cites AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? AlexaTM 20B: Few-Shot Learning Using a Large-Scale Multilingual Seq2Seq Model

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.286398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b380f29-679d-44b8-a44f-d9d4e03af487 · outbound

This paper cites UL2: Unifying Language Learning Paradigms.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? UL2: Unifying Language Learning Paradigms

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.290208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f4f06e3-04b8-40a7-8cc3-d4ecd60892ad · outbound

This paper cites Using transfer learning for code- related tasks,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Using transfer learning for code- related tasks,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.808618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a7a8501f-1812-462c-ba64-a411c88cf11c · outbound

This paper cites Automatic source code summarization with graph attention networks,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Automatic source code summarization with graph attention networks,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.796140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2e1aec11-86c6-4e36-a1fa-3da211be3059 · outbound

This paper cites Automating code-related tasks through transformers: The impact of pre-training,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Automating code-related tasks through transformers: The impact of pre-training,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.784133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 57607d18-b4e5-4286-b6bf-796ee67243b3 · outbound

This paper cites Decoupled Weight Decay Regularization.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Decoupled Weight Decay Regularization

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.305897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a493f4f-f8b4-4891-9de2-8749fcb0f61b · outbound

This paper cites Towards automatically addressing self-admitted technical debt: How far are we?.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Towards automatically addressing self-admitted technical debt: How far are we?

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.772963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9a36fd4d-4818-4d6f-bc99-6580dbc08b01 · outbound

This paper cites On the generalizability of deep learning-based code completion across programming language versions,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? On the generalizability of deep learning-based code completion across programming language versions,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.761884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d420885-9d9c-400c-b1d7-7dc79d76d36a · outbound

This paper cites How the training procedure impacts the performance of deep learning-based vul- nerability patching,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? How the training procedure impacts the performance of deep learning-based vul- nerability patching,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.750668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 43896d36-cca6-426b-a1c4-467e884bd7ad · outbound

This paper cites Early stopping-but when?.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Early stopping-but when?

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.320941Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc573f01-9874-406a-b28e-6953646832ed · outbound

This paper cites Individual comparisons by ranking methods,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Individual comparisons by ranking methods,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.732320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5427d107-219e-4d16-b8bb-98a3fab9867d · outbound

This paper cites an unresolved cited work.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Unresolved cited work

Reference 56

Resolution: unresolved; raw_fallback, observed 2026-08-08T12:12:58.720705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9c0da60a-a041-4bcd-9392-a466679c35d4 · outbound

This paper cites A simple sequentially rejective multiple test procedure,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? A simple sequentially rejective multiple test procedure,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.332949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af929842-7736-42fe-8ba6-4c422b999119 · outbound

This paper cites Recommendations for Datasets for Source Code Summarization.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Recommendations for Datasets for Source Code Summarization

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.337362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ea54cd6-dc3e-4ca0-a723-4e3aba73d69c · outbound

This paper cites Replication Package of.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Replication Package of

Reference 59

Resolution: verified exact; doi, observed 2026-08-08T12:12:58.439902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d646a487-9b54-48e7-a5f4-3b13f8208c9e · outbound

This paper cites Quantifying the Carbon Emissions of Machine Learning.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Quantifying the Carbon Emissions of Machine Learning

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.346665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dee03f67-a874-4f3f-9c65-b01ffba4eee2 · outbound

This paper cites On the evaluation of neural code summarization,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? On the evaluation of neural code summarization,

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.351920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0af12a42-6cd0-4266-b3cd-0ad399c6b17f · outbound

This paper cites Code to comment.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Code to comment

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.693375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b3981d22-266d-40fb-a3f9-860c21b35897 · outbound

This paper cites Findings of the 2019 conference on machine translation (wmt19).

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Findings of the 2019 conference on machine translation (wmt19)

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.360774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04129be5-1db5-4b92-90bf-fe3b4868743f · outbound

This paper cites On the importance of building high-quality training datasets for neural code search,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? On the importance of building high-quality training datasets for neural code search,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.674365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 571e476c-29fe-444c-ba30-424b2facf9f8 · outbound

This paper cites Commit message matters: Investigating impact and evolution of commit message quality,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Commit message matters: Investigating impact and evolution of commit message quality,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.662512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5510b4c2-bcf1-4d7b-9d86-466b2737811b · outbound

This paper cites Data quality matters: A case study of obsolete comment detection,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Data quality matters: A case study of obsolete comment detection,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.650209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1b94c9d6-c7a3-4f81-a538-d66fe48c3970 · outbound

This paper cites Summarizing source code using a neural attention model,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Summarizing source code using a neural attention model,

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.376803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ab42f2f-870a-4cea-891e-40db5f12e424 · outbound

This paper cites A Transformer-based Approach for Source Code Summarization.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? A Transformer-based Approach for Source Code Summarization

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.380338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcabc76b-3807-4fd9-a472-235492b74568 · outbound

This paper cites Source Code Summarization in the Era of Large Language Models.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Source Code Summarization in the Era of Large Language Models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-08T12:12:58.384730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3469155b-81c3-48dc-a26a-3521c81b27fd · outbound

This paper cites /* icomment: Bugs or bad comments?*,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? /* icomment: Bugs or bad comments?*,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.630225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b79cb726-ed7d-43e5-8e3e-7b1b176a0353 · outbound

This paper cites Automatic detection of outdated comments during code changes,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Automatic detection of outdated comments during code changes,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.618155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fe52219a-6159-4d26-9d7d-0ef69d5ecb51 · outbound

This paper cites Deep code-comment understanding and assessment,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Deep code-comment understanding and assessment,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.603878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3de0df90-1a76-4afe-bdc6-852326be248e · outbound

This paper cites Code comment inconsistency detection based on confidence learning,.

Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough? Code comment inconsistency detection based on confidence learning,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T12:12:58.591386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

Observation 4eb10254-0b75-423f-8f95-09385512a865 · inbound

Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering cites this paper.

Towards Understanding the Impact of Data Bugs on Deep Learning Models in Software Engineering Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough?

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-12T17:56:31.046942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4440407d-bd18-4e99-adac-a0d286e3ce27 · inbound

CIDRe: A Reference-Free Multi-Aspect Criterion for Code Comment Quality Measurement cites this paper.

CIDRe: A Reference-Free Multi-Aspect Criterion for Code Comment Quality Measurement Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough?

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:11:49.551037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 55a61a2c-6df7-480c-adb9-a96e2ab09185 · inbound

Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks cites this paper.

Parameter-Efficient Multi-Task Fine-Tuning in Code-Related Tasks Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough?

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-03T09:01:33.625541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad62ff13-5679-47eb-ac0f-bd389918e4c3 · inbound

Not All Tokens Matter: Data-Centric Optimization for Efficient Code Summarization cites this paper.

Not All Tokens Matter: Data-Centric Optimization for Efficient Code Summarization Optimizing Datasets for Code Summarization: Is Code-Comment Coherence Enough?

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-03T07:34:22.017508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.