Paper Citation Record · LEDGER

When Retriever Meets Generator: A Joint Model for Code Comment Generation

As of 19 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2507.12558.

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

pith.paper-citation-record.v1
2507.12558 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:48:44.882854Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

35 of 35 outbound references displayed

verified exact0
verified fuzzy21
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe59ffbc-3c63-4c01-a9b4-eaab1823b7e6 · outbound

This paper cites Exploiting method names to improve code summarization: A deliberation multi-task learning ap- proach,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Exploiting method names to improve code summarization: A deliberation multi-task learning ap- proach,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:50.461350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 52437a9b-b1b1-4160-adaa-9636a9d975fc · outbound

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

When Retriever Meets Generator: A Joint Model for Code Comment Generation Few-shot training llms for project-specific code-summarization,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:50.188755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5670a747-74e5-4e33-b5c5-6736bc537e74 · outbound

This paper cites Towards automatically generating summary comments for java meth- ods,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Towards automatically generating summary comments for java meth- ods,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:49.945227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b740c32-16f9-4710-94a2-cc002da4a048 · outbound

This paper cites Automatic source code summa- rization of context for java methods,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Automatic source code summa- rization of context for java methods,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:49.694204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c38ae7c3-f235-446b-9dec-1c4aa3077188 · outbound

This paper cites Autocomment: Mining question and an- swer sites for automatic comment generation,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Autocomment: Mining question and an- swer sites for automatic comment generation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:49.492455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7f44aea-e8fe-4539-8206-9c63fe795307 · outbound

This paper cites Clocom: Mining existing source code for automatic comment generation,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Clocom: Mining existing source code for automatic comment generation,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:49.204638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c365edf3-65cb-4a85-94c8-92be6c26400a · outbound

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

When Retriever Meets Generator: A Joint Model for Code Comment Generation Summarizing source code using a neural attention model,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:48.912433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 202cfefc-cc15-4c72-ae8e-3c2e5ecd279f · outbound

This paper cites Deep code comment genera- tion,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Deep code comment genera- tion,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:48.694999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5cdce635-ab9d-4abc-90aa-71b188a55158 · outbound

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

When Retriever Meets Generator: A Joint Model for Code Comment Generation A neural model for gener- ating natural language summaries of program subroutines,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:48.446485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 46605860-1841-4c65-ac56-3134f4ef273d · outbound

This paper cites Leveraging code generation to improve code retrieval and summarization via dual learning,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Leveraging code generation to improve code retrieval and summarization via dual learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:48.240026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3bc6be51-f424-4d6a-a580-ff378d12d940 · outbound

This paper cites Retrieval augmented code generation and summarization,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Retrieval augmented code generation and summarization,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:41.588477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1f019619-d0ef-4350-8bdd-ceedd4fe4232 · outbound

This paper cites Editsum: A retrieve-and-edit framework for source code summarization,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Editsum: A retrieve-and-edit framework for source code summarization,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:47.988437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 66abbd09-8e6e-446f-b651-4f8c0d06f49e · outbound

This paper cites Improving retrieval-augmented code comment generation by retrieving for generation,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Improving retrieval-augmented code comment generation by retrieving for generation,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:41.847606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1822e8f6-b70e-46b9-bbad-e8b36df493bc · outbound

This paper cites Cross-modal retrieval-enhanced code summarization based on joint learning for retrieval and generation,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Cross-modal retrieval-enhanced code summarization based on joint learning for retrieval and generation,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:47.789440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 44dcb848-fdfc-407b-926f-63fdac92e56a · outbound

This paper cites Codet5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Codet5: Identifier-aware unified pre-trained encoder-decoder models for code understanding and generation,

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:42.087539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 37f3e7a3-0ba5-4389-9787-f0b519f98531 · outbound

This paper cites The Llama 3 Herd of Models.

When Retriever Meets Generator: A Joint Model for Code Comment Generation The Llama 3 Herd of Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:42.164214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4e37dac-87b8-44ef-a0c2-74024874be5a · outbound

This paper cites When Retriever Meets Generator: A Joint Model for Code Comment Generation.

When Retriever Meets Generator: A Joint Model for Code Comment Generation When Retriever Meets Generator: A Joint Model for Code Comment Generation

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:47.540194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 257de198-0702-4aad-81c2-a17694770299 · outbound

This paper cites Improving automatic source code summarization via deep reinforce- ment learning,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Improving automatic source code summarization via deep reinforce- ment learning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:47.243563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 11ee4826-acd9-4b72-8000-3af4e07d6060 · outbound

This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

When Retriever Meets Generator: A Joint Model for Code Comment Generation CodeBERT: A Pre-Trained Model for Programming and Natural Languages

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:42.539617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3eec540b-9549-4df6-884a-8256d6e06fcf · outbound

This paper cites GraphCodeBERT: Pre-training Code Representations with Data Flow.

When Retriever Meets Generator: A Joint Model for Code Comment Generation GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:42.674175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 35d85a4f-0f9b-4b25-9e17-8006a34d98cf · outbound

This paper cites CAST: Enhancing code summarization with hierarchical splitting and reconstruction of abstract syntax trees,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation CAST: Enhancing code summarization with hierarchical splitting and reconstruction of abstract syntax trees,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:46.939930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72b203c9-e20c-45e2-b7a7-ebcdd9d357b9 · outbound

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

When Retriever Meets Generator: A Joint Model for Code Comment Generation Retrieval-based neural source code summarization,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:46.659109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9834001f-8437-4fe1-9d1d-ae7e413fb68a · outbound

This paper cites Automatic comment generation via multi-pass deliberation,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Automatic comment generation via multi-pass deliberation,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:46.378308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6884774c-dc31-4e44-b89a-04fcf9446e8a · outbound

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

When Retriever Meets Generator: A Joint Model for Code Comment Generation Source Code Summarization in the Era of Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:43.241508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f39464d4-4de8-4793-990f-8cf37df30951 · outbound

This paper cites Automatic Code Summarization via ChatGPT: How Far Are We?.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Automatic Code Summarization via ChatGPT: How Far Are We?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:43.367479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5257b88-8d5f-4333-bb35-b40fd59fc2c6 · outbound

This paper cites Cocosoda: Effective contrastive learning for code search,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Cocosoda: Effective contrastive learning for code search,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:43.505668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38a33b32-fd3c-4b05-a619-1daed30e5708 · outbound

This paper cites Retrieval-Augmented Generation for Code Summarization via Hybrid GNN.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Retrieval-Augmented Generation for Code Summarization via Hybrid GNN

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:43.667824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee879675-a696-408e-8d27-ea14dbb50e8c · outbound

This paper cites Better language models of code through self-improvement,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Better language models of code through self-improvement,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:46.100768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1583828f-c5f3-493e-be30-8b111966741c · outbound

This paper cites A parallel corpus of Python functions and documentation strings for automated code documentation and code generation.

When Retriever Meets Generator: A Joint Model for Code Comment Generation A parallel corpus of Python functions and documentation strings for automated code documentation and code generation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:43.979201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b73f91e9-2921-4036-afbf-d8fb20dea93f · outbound

This paper cites M2ts: Multi-scale multi-modal approach based on transformer for source code summarization,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation M2ts: Multi-scale multi-modal approach based on transformer for source code summarization,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:45.903230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b025a89-f922-4ddf-9f37-380578792e95 · outbound

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

When Retriever Meets Generator: A Joint Model for Code Comment Generation Bleu: a method for automatic evaluation of machine translation,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:44.263275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79426187-e6a2-44dc-9053-ae7be501b555 · outbound

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

When Retriever Meets Generator: A Joint Model for Code Comment Generation Rouge: A package for automatic evaluation of summaries,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:44.427995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6e8ecd0-b82a-4254-911a-dce5faada536 · outbound

This paper cites Meteor: An automatic metric for mt evalua- tion with improved correlation with human judgments,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Meteor: An automatic metric for mt evalua- tion with improved correlation with human judgments,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:45.635543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5df3dd19-4703-498f-a945-25258456adca · outbound

This paper cites Cider: Consensus- based image description evaluation,.

When Retriever Meets Generator: A Joint Model for Code Comment Generation Cider: Consensus- based image description evaluation,

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T16:48:44.731212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2872d29-b1dc-4081-b9cc-24ff96a1245d · outbound

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

When Retriever Meets Generator: A Joint Model for Code Comment Generation Deep code comment generation with hybrid lexical and syntactical information,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T16:48:45.348034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.