Paper Citation Record · LEDGER

Analysis on LLMs Performance for Code Summarization

As of 13 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:2412.17094.

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

pith.paper-citation-record.v1
2412.17094 v2

Coverage vector

measured 34 of 34 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T05:50:08.066577Z

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

34 of 34 outbound references displayed

verified exact1
verified fuzzy17
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 74ddc12d-8245-4d9b-b638-8673d2e1532d · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Analysis on LLMs Performance for Code Summarization Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:07.945617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea9794dc-ee17-4fb9-9a0a-e9f627bdaee9 · outbound

This paper cites Gpt-4 technical report,(2023),.

Analysis on LLMs Performance for Code Summarization Gpt-4 technical report,(2023),

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.507052Z

Source-reported events for the cited work

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

Observation 89341afa-b7c1-465f-b5f9-5cb1e797f479 · outbound

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

Analysis on LLMs Performance for Code Summarization Few-shot training llms for project-specific code- summarization,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:07.953528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 668b998e-23c2-414b-9e76-8580d2166916 · outbound

This paper cites Llama3modelcard,.

Analysis on LLMs Performance for Code Summarization Llama3modelcard,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.496750Z

Source-reported events for the cited work

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

Observation b21965ea-baee-41b5-8829-2c1804837f52 · outbound

This paper cites code2seq: Generating Sequences from Structured Representations of Code.

Analysis on LLMs Performance for Code Summarization code2seq: Generating Sequences from Structured Representations of Code

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:07.960567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ac542cd-7c15-475b-bc8e-7d42343eb6a6 · outbound

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

Analysis on LLMs Performance for Code Summarization A parallel corpus of Python functions and documentation strings for automated code documentation and code generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:07.964494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5909fb8-3b00-40eb-88f9-18d94358b9b8 · outbound

This paper cites GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization.

Analysis on LLMs Performance for Code Summarization GN-Transformer: Fusing Sequence and Graph Representation for Improved Code Summarization

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:07.968310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa7b2409-d4e3-44d6-a505-4216ef1be13b · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Analysis on LLMs Performance for Code Summarization Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:07.971824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db26764d-9730-4773-b0fc-805cf6ee81eb · outbound

This paper cites Structured Neural Summarization.

Analysis on LLMs Performance for Code Summarization Structured Neural Summarization

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:07.975359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59551b56-8175-4572-bb80-7e72e0091c7f · outbound

This paper cites Code Structure Guided Transformer for Source Code Summarization.

Analysis on LLMs Performance for Code Summarization Code Structure Guided Transformer for Source Code Summarization

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-11T05:50:08.198657Z

Source-reported events for the cited work

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

Observation ab072b7f-4b42-4b82-b010-d4ca2bea8fad · outbound

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

Analysis on LLMs Performance for Code Summarization M2ts: Multi-scale multi-modal approach based on trans- former for source code summarization,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.487022Z

Source-reported events for the cited work

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

Observation 311a94bf-470e-45c5-b1d3-b022b9fd8b0a · outbound

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

Analysis on LLMs Performance for Code Summarization GraphCodeBERT: Pre-training Code Representations with Data Flow

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:07.985661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e724de9-1390-4c15-b383-8b66371ff842 · outbound

This paper cites Analyzing the performance of large language modelsoncodesummarization,.

Analysis on LLMs Performance for Code Summarization Analyzing the performance of large language modelsoncodesummarization,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.476189Z

Source-reported events for the cited work

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

Observation 298046f8-5583-4f99-bbac-ab0d5418793b · outbound

This paper cites Measuring Coding Challenge Competence With APPS.

Analysis on LLMs Performance for Code Summarization Measuring Coding Challenge Competence With APPS

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:07.992821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 575196ff-49ef-4477-9aa8-4cb43b4f3b58 · outbound

This paper cites Deep code comment generation,.

Analysis on LLMs Performance for Code Summarization Deep code comment generation,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.465681Z

Source-reported events for the cited work

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

Observation 3854f393-9d8c-4373-93ea-bffb9ebf5376 · outbound

This paper cites Summarizing source code with transferredapiknowledge,.

Analysis on LLMs Performance for Code Summarization Summarizing source code with transferredapiknowledge,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.455518Z

Source-reported events for the cited work

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

Observation 8066b834-0615-45ac-b671-0dfa95a8bce0 · outbound

This paper cites CodeSearchNet Challenge: Evaluating the State of Semantic Code Search.

Analysis on LLMs Performance for Code Summarization CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:08.004115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 456e59f9-52a8-44f2-8cbd-7ab34bceec8a · outbound

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

Analysis on LLMs Performance for Code Summarization Summarizing source code using a neural attention model,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.444973Z

Source-reported events for the cited work

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

Observation 24e04c51-5324-468a-9084-495f21be72a8 · outbound

This paper cites Mistral 7B.

Analysis on LLMs Performance for Code Summarization Mistral 7B

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:08.012080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89bd2816-fde2-482e-ad0d-1c551b575645 · outbound

This paper cites Improvedcodesummarization viaagraphneuralnetwork,.

Analysis on LLMs Performance for Code Summarization Improvedcodesummarization viaagraphneuralnetwork,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.434028Z

Source-reported events for the cited work

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

Observation 94478b1e-6eea-4368-a33a-850f7afafa03 · outbound

This paper cites A neural model for generating natural languagesummariesofprogramsubroutines,.

Analysis on LLMs Performance for Code Summarization A neural model for generating natural languagesummariesofprogramsubroutines,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.423711Z

Source-reported events for the cited work

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

Observation 8a295db7-36ff-49ec-912f-5198118c223d · outbound

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

Analysis on LLMs Performance for Code Summarization Retrieval-Augmented Generation for Code Summarization via Hybrid GNN

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:08.023574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 777d7a3c-d540-42fb-9f47-1d652e7d22b4 · outbound

This paper cites CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation.

Analysis on LLMs Performance for Code Summarization CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:08.027100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a1c5c1f-4b81-4bb2-a4fe-774e3706eb50 · outbound

This paper cites Codegen:Anopenlargelanguagemodelforcodewithmulti- turnprogramsynthesis,.

Analysis on LLMs Performance for Code Summarization Codegen:Anopenlargelanguagemodelforcodewithmulti- turnprogramsynthesis,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.412822Z

Source-reported events for the cited work

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

Observation a9f93254-5033-4b31-8ab1-65cafbff3ff6 · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Analysis on LLMs Performance for Code Summarization Code Llama: Open Foundation Models for Code

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:08.034012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f775a6d0-7930-40b0-aee9-5f3a8326f524 · outbound

This paper cites Au- tomaticsourcecodesummarizationwithextendedtree-lstm,.

Analysis on LLMs Performance for Code Summarization Au- tomaticsourcecodesummarizationwithextendedtree-lstm,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.401769Z

Source-reported events for the cited work

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

Observation f91aa0c3-7678-46c1-bc64-2776a887b434 · outbound

This paper cites Sequencetosequencelearningwithneu- ralnetworks,.

Analysis on LLMs Performance for Code Summarization Sequencetosequencelearningwithneu- ralnetworks,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.390488Z

Source-reported events for the cited work

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

Observation d621579c-9b9b-4e3f-9220-a98cbd3f1521 · outbound

This paper cites Ast-trans: Code summarization with efficient tree-structured attention,.

Analysis on LLMs Performance for Code Summarization Ast-trans: Code summarization with efficient tree-structured attention,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.377964Z

Source-reported events for the cited work

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

Observation 38c38901-65c5-41e5-b9f6-4d82d908a848 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Analysis on LLMs Performance for Code Summarization Gemini: A Family of Highly Capable Multimodal Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:08.048039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59ed357a-985e-4ce7-a0b4-9dd1e1aac951 · outbound

This paper cites Gemma: Open Models Based on Gemini Research and Technology.

Analysis on LLMs Performance for Code Summarization Gemma: Open Models Based on Gemini Research and Technology

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-11T05:50:08.053155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e9feecc-daea-4f92-9786-9af8f7924748 · outbound

This paper cites Attentionisallyouneed,.

Analysis on LLMs Performance for Code Summarization Attentionisallyouneed,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.366167Z

Source-reported events for the cited work

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

Observation bfd22a0b-e80c-475c-846d-f95a94711c86 · outbound

This paper cites Improving automatic source code summa- rizationviadeepreinforcementlearning,.

Analysis on LLMs Performance for Code Summarization Improving automatic source code summa- rizationviadeepreinforcementlearning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.355134Z

Source-reported events for the cited work

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

Observation 708e712f-bff0-49e2-a2ac-f5dc8a0596ba · outbound

This paper cites Asurveyofautomaticsourcecodesumma- rization,.

Analysis on LLMs Performance for Code Summarization Asurveyofautomaticsourcecodesumma- rization,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.343757Z

Source-reported events for the cited work

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

Observation a3ea10eb-b5bb-46fd-bed7-3951b950ab1e · outbound

This paper cites Retrieval-basedneuralsource codesummarization,.

Analysis on LLMs Performance for Code Summarization Retrieval-basedneuralsource codesummarization,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T05:50:08.333912Z

Source-reported events for the cited work

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

Pith citing papers

No inbound Pith citation observations are available.