Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 3 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 75 of 75 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:11:49.105382Z

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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+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 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

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 2026-08-09T06:31:02.800959+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.