Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T04:32:03.419764Z
Paper Citation Record · LEDGER
Can Large Language Models Serve as Evaluators for Code Summarization?
As of 17 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 6 inbound Pith citation observations for arXiv:2412.01333.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T05:56:23.781576Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T03:38:57.833957Z
Reference resolution
66 of 66 outbound references displayed
- verified exact2
- verified fuzzy29
- unresolved35
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e13550c2-d7d7-4b7b-911f-d01e9109d06b · outbound
This paper cites Summarizing source code using a neural attention model,.
Can Large Language Models Serve as Evaluators for Code Summarization? Summarizing source code using a neural attention model,
Reference 1
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e07fe13-e465-4554-84b5-f2bad33e5b36 · outbound
This paper cites A neural model for generating natural language summaries of program subroutines,.
Can Large Language Models Serve as Evaluators for Code Summarization? A neural model for generating natural language summaries of program subroutines,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:32:04.663891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 928dd8a9-7c7a-4be0-9553-650774b2da6d · outbound
This paper cites Large language models are few-shot summarizers: Multi-intent comment generation via in-context learning,.
Can Large Language Models Serve as Evaluators for Code Summarization? Large language models are few-shot summarizers: Multi-intent comment generation via in-context learning,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:32:04.648125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2791eb5d-5d3e-4c55-b31b-d6ed9e13f9ea · outbound
This paper cites Gpt-4 technical report,.
Can Large Language Models Serve as Evaluators for Code Summarization? Gpt-4 technical report,
Reference 4
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9bf09b46-b5e1-45af-9603-b472024bc83e · outbound
This paper cites Gemini: A Family of Highly Capable Multimodal Models.
Can Large Language Models Serve as Evaluators for Code Summarization? Gemini: A Family of Highly Capable Multimodal Models
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:32:03.070428Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5271e906-7a83-4617-a52f-a800452f994d · outbound
This paper cites LLaMA: Open and Efficient Foundation Language Models.
Can Large Language Models Serve as Evaluators for Code Summarization? LLaMA: Open and Efficient Foundation Language Models
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:32:03.075797Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fad18f81-5cb9-49ee-8f83-b744c0e6d6c3 · outbound
This paper cites Bleu: a method for automatic evaluation of machine translation,.
Can Large Language Models Serve as Evaluators for Code Summarization? Bleu: a method for automatic evaluation of machine translation,
Reference 7
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f9c513bd-fada-4b2b-81ce-aa701e90a11c · outbound
This paper cites Rouge: A package for automatic evaluation of summaries,.
Can Large Language Models Serve as Evaluators for Code Summarization? Rouge: A package for automatic evaluation of summaries,
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:32:03.086423Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dca472b4-82b1-4bc5-94d7-7afe777d0d5a · outbound
This paper cites Meteor: An automatic metric for mt evaluation with improved correlation with human judgments,.
Can Large Language Models Serve as Evaluators for Code Summarization? Meteor: An automatic metric for mt evaluation with improved correlation with human judgments,
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:32:03.091826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 34ee4429-ac5e-4887-887b-36d6a5629b3d · outbound
This paper cites BERTScore: Evaluating Text Generation with BERT.
Can Large Language Models Serve as Evaluators for Code Summarization? BERTScore: Evaluating Text Generation with BERT
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:32:03.097218Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 483510d7-aebc-4846-b9ce-9a2b61aee303 · outbound
This paper cites On the evaluation of neural code summarization,.
Can Large Language Models Serve as Evaluators for Code Summarization? On the evaluation of neural code summarization,
Reference 11
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 9b77032c-d91f-44a5-99a2-7b5f51adcf4c · outbound
This paper cites Reassessing automatic evaluation metrics for code summarization tasks,.
Can Large Language Models Serve as Evaluators for Code Summarization? Reassessing automatic evaluation metrics for code summarization tasks,
Reference 12
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac43f845-a8d3-4563-997b-b3718a9a75be · outbound
This paper cites Is ChatGPT a Good NLG Evaluator? A Preliminary Study.
Can Large Language Models Serve as Evaluators for Code Summarization? Is ChatGPT a Good NLG Evaluator? A Preliminary Study
Reference 13
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9584fe44-95b9-4350-a50f-67e56050f521 · outbound
This paper cites G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment.
Can Large Language Models Serve as Evaluators for Code Summarization? G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:32:03.119646Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 035363bf-f34a-4f15-9bfe-707d3331831b · outbound
This paper cites Can Large Language Models Be an Alternative to Human Evaluations?.
Can Large Language Models Serve as Evaluators for Code Summarization? Can Large Language Models Be an Alternative to Human Evaluations?
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:32:03.124672Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2c6c2898-cd37-47a3-971f-33cbb43c2730 · outbound
This paper cites A Closer Look into Automatic Evaluation Using Large Language Models.
Can Large Language Models Serve as Evaluators for Code Summarization? A Closer Look into Automatic Evaluation Using Large Language Models
Reference 16
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 165f2e09-5617-4951-b96f-947689a3593c · outbound
This paper cites ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.
Can Large Language Models Serve as Evaluators for Code Summarization? ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af062056-6ed3-4a15-af6c-9b018670f92b · outbound
This paper cites Large Language Models Are State-of-the-Art Evaluators of Translation Quality.
Can Large Language Models Serve as Evaluators for Code Summarization? Large Language Models Are State-of-the-Art Evaluators of Translation Quality
Reference 18
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8d8c2549-bcb2-4420-8fd8-d78d3a0e977e · outbound
This paper cites Evaluating Large Language Models at Evaluating Instruction Following.
Can Large Language Models Serve as Evaluators for Code Summarization? Evaluating Large Language Models at Evaluating Instruction Following
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:32:03.151155Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b52a792b-0557-4f99-8536-af24bb7b6196 · outbound
This paper cites Ice-score: Instructing large language models to evaluate code,.
Can Large Language Models Serve as Evaluators for Code Summarization? Ice-score: Instructing large language models to evaluate code,
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:32:03.157456Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e0a1c37-c890-4b52-95ee-5020050223ea · outbound
This paper cites Chatgpt,.
Can Large Language Models Serve as Evaluators for Code Summarization? Chatgpt,
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation e7d26a14-c503-436e-a99e-3a5e84e13a79 · outbound
This paper cites [Online].
Can Large Language Models Serve as Evaluators for Code Summarization? [Online]
Reference 22
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a56b8c3d-d6ea-4aed-b3af-c248cd382820 · outbound
This paper cites [Online].
Can Large Language Models Serve as Evaluators for Code Summarization? [Online]
Reference 23
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 2382104c-c26d-4491-9956-ef2a9b8c270b · outbound
This paper cites Deep code comment generation,.
Can Large Language Models Serve as Evaluators for Code Summarization? Deep code comment generation,
Reference 24
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation b0bd9099-3c0d-4e2c-b09a-4b3f6d3719c3 · outbound
This paper cites Retrieval-based neural source code summarization,.
Can Large Language Models Serve as Evaluators for Code Summarization? Retrieval-based neural source code summarization,
Reference 25
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5e99ece5-01bb-4805-b075-b70aa2f38490 · outbound
This paper cites A Transformer-based Approach for Source Code Summarization.
Can Large Language Models Serve as Evaluators for Code Summarization? A Transformer-based Approach for Source Code Summarization
Reference 26
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3a2c6c2d-e4f7-4cf7-bcb3-04eb15baa7c6 · outbound
This paper cites Automatic Code Summarization via ChatGPT: How Far Are We?.
Can Large Language Models Serve as Evaluators for Code Summarization? Automatic Code Summarization via ChatGPT: How Far Are We?
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14c682dc-1c84-4b8f-99db-9e9b3a1b8895 · outbound
This paper cites An empirical study of smoothing techniques for language modeling,.
Can Large Language Models Serve as Evaluators for Code Summarization? An empirical study of smoothing techniques for language modeling,
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1e1ede7c-79e7-49a3-9d80-c5b425441890 · outbound
This paper cites Retrieve and refine: exemplar- based neural comment generation,.
Can Large Language Models Serve as Evaluators for Code Summarization? Retrieve and refine: exemplar- based neural comment generation,
Reference 29
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fcf31da2-c731-49b8-907d-7ff8a7e96804 · outbound
This paper cites Project-level encoding for neural source code summarization of subroutines,.
Can Large Language Models Serve as Evaluators for Code Summarization? Project-level encoding for neural source code summarization of subroutines,
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 596247f9-e949-4d1b-8934-b6c2cf99f0d9 · outbound
This paper cites Improving code summarization with block-wise abstract syntax tree splitting,.
Can Large Language Models Serve as Evaluators for Code Summarization? Improving code summarization with block-wise abstract syntax tree splitting,
Reference 31
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 39323a8a-9b66-42b9-9826-e7149f3afc6f · outbound
This paper cites Api2com: On the improvement of automatically generated code comments using api documentations,.
Can Large Language Models Serve as Evaluators for Code Summarization? Api2com: On the improvement of automatically generated code comments using api documentations,
Reference 32
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5d97a36b-2e55-46ba-88fd-b783ed0f6cd5 · outbound
This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.
Can Large Language Models Serve as Evaluators for Code Summarization? RoBERTa: A Robustly Optimized BERT Pretraining Approach
Reference 33
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3835d723-d7fd-4849-b663-91fac5d2e354 · outbound
This paper cites Chain-of-thought prompting elicits reasoning in large language models,.
Can Large Language Models Serve as Evaluators for Code Summarization? Chain-of-thought prompting elicits reasoning in large language models,
Reference 34
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e27429a5-6910-42c0-bc4d-a1b999f7217b · outbound
This paper cites Generative agents: Interactive simulacra of human behavior,.
Can Large Language Models Serve as Evaluators for Code Summarization? Generative agents: Interactive simulacra of human behavior,
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1255f785-8cff-488e-b14c-118bf72ed027 · outbound
This paper cites Multi-Agent Consensus Seeking via Large Language Models.
Can Large Language Models Serve as Evaluators for Code Summarization? Multi-Agent Consensus Seeking via Large Language Models
Reference 36
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ad4f033-cd94-4a46-a002-08c98a7a4db0 · outbound
This paper cites Summarizing source code with transferred api knowledge,.
Can Large Language Models Serve as Evaluators for Code Summarization? Summarizing source code with transferred api knowledge,
Reference 37
- Resolution
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation a251f891-ac49-4969-81ed-68eef0843c67 · outbound
This paper cites Summeval: Re-evaluating summarization evaluation,.
Can Large Language Models Serve as Evaluators for Code Summarization? Summeval: Re-evaluating summarization evaluation,
Reference 38
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 242d043c-459e-4a45-9221-023517833854 · outbound
This paper cites The treatment of ties in ranking problems,.
Can Large Language Models Serve as Evaluators for Code Summarization? The treatment of ties in ranking problems,
Reference 39
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 97189272-8706-4ffe-b1a7-2296e3c32757 · outbound
This paper cites Standard probability and statistics tables and formulae,.
Can Large Language Models Serve as Evaluators for Code Summarization? Standard probability and statistics tables and formulae,
Reference 40
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6ccc1155-2c2c-435a-9e6d-383e9291aa9a · outbound
This paper cites Software documentation: how much is enough?.
Can Large Language Models Serve as Evaluators for Code Summarization? Software documentation: how much is enough?
Reference 41
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation d83cfa2d-63cc-4301-846a-d13cee2f0c6f · outbound
This paper cites The relevance of software documenta- tion, tools and technologies: a survey,.
Can Large Language Models Serve as Evaluators for Code Summarization? The relevance of software documenta- tion, tools and technologies: a survey,
Reference 42
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6a7268c7-3224-4de3-bf59-274f3c943eb3 · outbound
This paper cites Documenting software systems with views,.
Can Large Language Models Serve as Evaluators for Code Summarization? Documenting software systems with views,
Reference 43
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6a13a4b6-cb70-4382-8cc2-bab14cb0c6ec · outbound
This paper cites Reinforcement-learning-guided source code summarization using hierarchical attention,.
Can Large Language Models Serve as Evaluators for Code Summarization? Reinforcement-learning-guided source code summarization using hierarchical attention,
Reference 44
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 5c414b7d-351d-47ae-8c67-168d83bec955 · outbound
This paper cites Modeling hierarchical syntax structure with triplet position for source code summarization,.
Can Large Language Models Serve as Evaluators for Code Summarization? Modeling hierarchical syntax structure with triplet position for source code summarization,
Reference 45
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 0899d916-3e40-4623-8508-78afb46fe682 · outbound
This paper cites Improving automatic source code summarization via deep reinforcement learning,.
Can Large Language Models Serve as Evaluators for Code Summarization? Improving automatic source code summarization via deep reinforcement learning,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:32:04.217392Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 55ed83f5-0be1-477c-bb60-4d24247c8147 · outbound
This paper cites Deep learning for code intelligence: Survey, benchmark and toolkit,.
Can Large Language Models Serve as Evaluators for Code Summarization? Deep learning for code intelligence: Survey, benchmark and toolkit,
Reference 47
- Resolution
- verified exact
- doi, observed 2026-08-12T04:32:03.467494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 25fedac6-7b5f-489b-bbb3-416a3861b673 · outbound
This paper cites Deep learning for code generation: A survey,.
Can Large Language Models Serve as Evaluators for Code Summarization? Deep learning for code generation: A survey,
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:32:04.193086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 129d47aa-c4cf-4eab-b7af-c1fdac64973e · outbound
This paper cites Code Summarization with Structure-induced Transformer.
Can Large Language Models Serve as Evaluators for Code Summarization? Code Summarization with Structure-induced Transformer
Reference 49
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 519c9f0c-4e48-4f07-9762-c7d5d9ae4bd9 · outbound
This paper cites code2seq: Generating Sequences from Structured Representations of Code.
Can Large Language Models Serve as Evaluators for Code Summarization? code2seq: Generating Sequences from Structured Representations of Code
Reference 50
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af9034e2-1d4a-49c3-8a0c-b4337a41265d · outbound
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Can Large Language Models Serve as Evaluators for Code Summarization? Code to comment
Reference 51
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5ea8343-2320-4df4-9fde-08f82402630e · outbound
This paper cites CodeBERT: A Pre-Trained Model for Programming and Natural Languages.
Can Large Language Models Serve as Evaluators for Code Summarization? CodeBERT: A Pre-Trained Model for Programming and Natural Languages
Reference 52
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:32:03.341910Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b802330c-1d96-4284-8feb-47a0654719d1 · outbound
This paper cites CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation.
Can Large Language Models Serve as Evaluators for Code Summarization? CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:32:03.347747Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 908919ee-ec26-4862-a5ef-61ac948d13ad · outbound
This paper cites Automatic code documentation generation using gpt-3,.
Can Large Language Models Serve as Evaluators for Code Summarization? Automatic code documentation generation using gpt-3,
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:32:04.157369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 59d5ab25-a658-47f0-970e-320985656d5f · outbound
This paper cites Automatic semantic augmentation of language model prompts (for code summarization),.
Can Large Language Models Serve as Evaluators for Code Summarization? Automatic semantic augmentation of language model prompts (for code summarization),
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:32:03.359435Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1190defe-72f6-48eb-a264-9120e79caed6 · outbound
This paper cites On-the-fly adapting code summarization on trainable cost-effective language models,.
Can Large Language Models Serve as Evaluators for Code Summarization? On-the-fly adapting code summarization on trainable cost-effective language models,
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:32:03.364473Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f9d36c9-3c8a-4e7c-a72d-119365f9c683 · outbound
This paper cites Distilled gpt for source code summarization,.
Can Large Language Models Serve as Evaluators for Code Summarization? Distilled gpt for source code summarization,
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:32:04.110488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f229d004-d995-46ea-b242-f0c9bc8efe11 · outbound
This paper cites Source code summarization in the era of large language models,.
Can Large Language Models Serve as Evaluators for Code Summarization? Source code summarization in the era of large language models,
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:32:04.090593Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 918d554c-29ff-42b0-a47f-eb040aafcb44 · outbound
This paper cites A human study of comprehension and code summariza- tion,.
Can Large Language Models Serve as Evaluators for Code Summarization? A human study of comprehension and code summariza- tion,
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:32:04.074220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation fcb3384d-e882-4cc3-9be6-cc3a2a7c7699 · outbound
This paper cites GPTScore: Evaluate as You Desire.
Can Large Language Models Serve as Evaluators for Code Summarization? GPTScore: Evaluate as You Desire
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:32:03.387369Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04e8875f-7143-4f7b-a991-1ad53d92a41a · outbound
This paper cites Mllm-as-a-judge: Assessing multimodal llm-as- a-judge with vision-language benchmark,.
Can Large Language Models Serve as Evaluators for Code Summarization? Mllm-as-a-judge: Assessing multimodal llm-as- a-judge with vision-language benchmark,
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:32:04.056792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 78ad570d-338a-4aef-8e62-c34cbd16e3d7 · outbound
This paper cites Large Language Models are Diverse Role-Players for Summarization Evaluation.
Can Large Language Models Serve as Evaluators for Code Summarization? Large Language Models are Diverse Role-Players for Summarization Evaluation
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:32:03.398570Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ab4ed19b-f959-4989-8ddc-62fd7bb645e8 · outbound
This paper cites How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs?.
Can Large Language Models Serve as Evaluators for Code Summarization? How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs?
Reference 63
- Resolution
- verified exact
- local_arxiv, observed 2026-08-12T04:32:03.636635Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation f94e10d2-e19b-4132-ba34-ec66c88881c6 · outbound
This paper cites Who validates the validators? aligning llm-assisted evaluation of llm outputs with human preferences,.
Can Large Language Models Serve as Evaluators for Code Summarization? Who validates the validators? aligning llm-assisted evaluation of llm outputs with human preferences,
Reference 64
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:32:04.038500Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 3ad261fa-84c8-4368-8b52-5d20790a899a · outbound
This paper cites Naturalcc: an open-source toolkit for code intelligence,.
Can Large Language Models Serve as Evaluators for Code Summarization? Naturalcc: an open-source toolkit for code intelligence,
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T04:32:04.021401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation aeb14d77-2f83-45cd-a000-5c29818e25cc · outbound
This paper cites Available: https://doi.org/10.1145/3654777.3676450.
Can Large Language Models Serve as Evaluators for Code Summarization? Available: https://doi.org/10.1145/3654777.3676450
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:32:03.414062Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 4339c255-4ae4-4a99-8527-11901eb565f7 · inbound
Can Large Language Models Understand Intermediate Representations in Compilers? cites this paper.
Can Large Language Models Understand Intermediate Representations in Compilers? Can Large Language Models Serve as Evaluators for Code Summarization?
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T20:20:19.753566Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0e6845cf-8bd7-4310-b6a8-9d2d244f04ae · inbound
Do Automatic Comment Generation Techniques Fall Short? Exploring the Influence of Method Dependencies on Code Understanding cites this paper.
Do Automatic Comment Generation Techniques Fall Short? Exploring the Influence of Method Dependencies on Code Understanding Can Large Language Models Serve as Evaluators for Code Summarization?
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:56:23.781576Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bd6ec4a-2d93-4b15-8bff-a2804792981c · inbound
Issue Retrieval and Verification Enhanced Supplementary Code Comment Generation cites this paper.
Issue Retrieval and Verification Enhanced Supplementary Code Comment Generation Can Large Language Models Serve as Evaluators for Code Summarization?
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:54:55.722155Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d6813f7d-0b7f-4e78-8e46-f4d83a39b5ce · inbound
evalSmarT: An LLM-Based Framework for Evaluating Smart Contract Generated Comments cites this paper.
evalSmarT: An LLM-Based Framework for Evaluating Smart Contract Generated Comments Can Large Language Models Serve as Evaluators for Code Summarization?
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T13:17:42.262914Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbca0308-c386-41ea-b3d0-3003a1157511 · inbound
Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study cites this paper.
Knowledge-Graph-Driven Data Synthesis for Low-Resource Software Development: A HarmonyOS Case Study Can Large Language Models Serve as Evaluators for Code Summarization?
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T03:38:57.837063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 6c19b454-d264-47db-a20e-6d6c0a437ead · inbound
Using Mutation-Analysis to Examine an LLM's Ability to Summarize Code cites this paper.
Using Mutation-Analysis to Examine an LLM's Ability to Summarize Code Can Large Language Models Serve as Evaluators for Code Summarization?
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T22:09:52.817688Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.