Paper Citation Record · LEDGER

Engineering AI Judge Systems

As of 14 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 2 inbound Pith citation observations for arXiv:2411.17793.

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

pith.paper-citation-record.v1
2411.17793 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:59:18.434546Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

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

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T10:32:47.756343Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T10:33:18.382028Z

Reference resolution

70 of 70 outbound references displayed

verified exact0
verified fuzzy42
unresolved28
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e07a633d-a329-4f9a-822d-47e8a45c6cad · outbound

This paper cites Claude 3 sonnet has become very lazy,.

Engineering AI Judge Systems Claude 3 sonnet has become very lazy,

Reference 1

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Observation 0641d58c-b4d9-45ae-a544-f469463b3b76 · outbound

This paper cites Do you guy think the cost of gpt-4 is high,.

Engineering AI Judge Systems Do you guy think the cost of gpt-4 is high,

Reference 2

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Source-reported events for the cited work

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Observation 7e88b40b-4104-444c-a7f7-955aa0354452 · outbound

This paper cites Gpt-4 is crazy expensive,.

Engineering AI Judge Systems Gpt-4 is crazy expensive,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.259355Z

Source-reported events for the cited work

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

Observation 6e7e3ff0-5b01-49c5-8426-0c64801f4e06 · outbound

This paper cites Open llm leaderboard,.

Engineering AI Judge Systems Open llm leaderboard,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.247901Z

Source-reported events for the cited work

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Observation a62f18e3-1362-46cb-9a8a-d5e82ba916dd · outbound

This paper cites Use agent metrics & llm judges to evaluate app performance,.

Engineering AI Judge Systems Use agent metrics & llm judges to evaluate app performance,

Reference 5

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Source-reported events for the cited work

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Observation 2d24a91c-5b70-4273-bff3-90967b30d88b · outbound

This paper cites 2030 software engineering,.

Engineering AI Judge Systems 2030 software engineering,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.224133Z

Source-reported events for the cited work

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

Observation 947c5aeb-8423-4bc7-9dda-6df89c092418 · outbound

This paper cites The acm international conference on the foundations of software en- gineering (fse) 2024,.

Engineering AI Judge Systems The acm international conference on the foundations of software en- gineering (fse) 2024,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.210844Z

Source-reported events for the cited work

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Observation 05ca5043-7480-4d7e-8b16-34110261baea · outbound

This paper cites Fm+se summit 2024,.

Engineering AI Judge Systems Fm+se summit 2024,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.198220Z

Source-reported events for the cited work

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

Observation 40e1b4f1-a253-4d29-a173-96e35aede6e5 · outbound

This paper cites Opea initiative (open platform for enterprise ai (opea),.

Engineering AI Judge Systems Opea initiative (open platform for enterprise ai (opea),

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.186229Z

Source-reported events for the cited work

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

Observation c3f25090-1dee-424a-9f4d-ef4075c739ff · outbound

This paper cites Re-thinking data strategy and integration for artificial intelligence: concepts, opportuni- ties, and challenges,.

Engineering AI Judge Systems Re-thinking data strategy and integration for artificial intelligence: concepts, opportuni- ties, and challenges,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.172791Z

Source-reported events for the cited work

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

Observation 8a957eb4-3f66-4202-b0f1-8923229c292d · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Engineering AI Judge Systems Constitutional AI: Harmlessness from AI Feedback

Reference 11

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Source-reported events for the cited work

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Observation c8023431-371b-4128-96f9-6d4dd42ca5d2 · outbound

This paper cites Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs.

Engineering AI Judge Systems Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs

Reference 12

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92cf6acd-09fd-4426-b0ef-6bf32fe48823 · outbound

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

Engineering AI Judge Systems Meteor: an automatic metric for MT evalua- tion with improved correlation with human judgments,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.159428Z

Source-reported events for the cited work

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

Observation cfb058a0-0668-4acf-87dd-305edac4a074 · outbound

This paper cites Test driven development: By example addison-wesley,.

Engineering AI Judge Systems Test driven development: By example addison-wesley,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.147267Z

Source-reported events for the cited work

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Observation 71493e67-f94e-479d-a0cd-602bac9facd1 · outbound

This paper cites On the dangers of stochastic parrots: can language models be too big?.

Engineering AI Judge Systems On the dangers of stochastic parrots: can language models be too big?

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.135774Z

Source-reported events for the cited work

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

Observation c2ac4a3a-4cff-48fd-97bf-e8fd9f8a5dd5 · outbound

This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Engineering AI Judge Systems Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 16

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Source-reported events for the cited work

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Observation 62e3339c-7943-452c-847f-8cbde46d5111 · outbound

This paper cites ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate.

Engineering AI Judge Systems ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

Reference 17

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Source-reported events for the cited work

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Observation 0935c594-8e41-416a-95db-9f86a061e380 · outbound

This paper cites A survey on evaluation of large language models,.

Engineering AI Judge Systems A survey on evaluation of large language models,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.122927Z

Source-reported events for the cited work

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

Observation e65b98a8-a1b8-4100-a638-188fd934f478 · outbound

This paper cites Unleashing the potential of prompt engineering for large language models.

Engineering AI Judge Systems Unleashing the potential of prompt engineering for large language models

Reference 19

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Source-reported events for the cited work

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Observation a970bc9c-49d3-465b-9583-2f2c3cd9b86e · outbound

This paper cites Towards training reproducible deep learning models,.

Engineering AI Judge Systems Towards training reproducible deep learning models,

Reference 20

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Source-reported events for the cited work

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

Observation d2fa95c7-8c31-498e-8bdf-dec0558784c8 · outbound

This paper cites Humans or LLMs as the Judge? A Study on Judgement Biases.

Engineering AI Judge Systems Humans or LLMs as the Judge? A Study on Judgement Biases

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-12T11:59:18.228507Z

Source-reported events for the cited work

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Observation c5ad56e2-3a5c-4c91-a84c-08c4ee58a9c2 · outbound

This paper cites How is ChatGPT's behavior changing over time?.

Engineering AI Judge Systems How is ChatGPT's behavior changing over time?

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 64e25685-2f9e-4c1b-9113-cc8e95572a23 · outbound

This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

Engineering AI Judge Systems Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T11:59:18.237211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ddc37fd-3306-4aac-bcb2-a6cc389bc29f · outbound

This paper cites Available: https://www.reddit.com/r/ClaudeAI/comments/ 1bv8ww5/claude 3 sonnet has become very lazy/.

Engineering AI Judge Systems Available: https://www.reddit.com/r/ClaudeAI/comments/ 1bv8ww5/claude 3 sonnet has become very lazy/

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.282971Z

Source-reported events for the cited work

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

Observation 10d1d72c-38ce-4f89-8809-379d44341fc4 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Engineering AI Judge Systems Training Verifiers to Solve Math Word Problems

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-12T11:59:18.241194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54a73f2e-70a0-43f2-89e7-684da527c5e6 · outbound

This paper cites Evalullm: llm assisted evaluation of generative outputs,.

Engineering AI Judge Systems Evalullm: llm assisted evaluation of generative outputs,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.098115Z

Source-reported events for the cited work

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

Observation 2ab6465c-c725-4a04-b939-394da8855761 · outbound

This paper cites Qlora: ef- ficient finetuning of quantized llms,.

Engineering AI Judge Systems Qlora: ef- ficient finetuning of quantized llms,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.086396Z

Source-reported events for the cited work

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

Observation aec2f2f2-46ed-4a8e-9983-d24f1b299583 · outbound

This paper cites Fira: fine-grained graph-based code change representation for automated com- mit message generation,.

Engineering AI Judge Systems Fira: fine-grained graph-based code change representation for automated com- mit message generation,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.075156Z

Source-reported events for the cited work

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

Observation 2c4f6a65-7ce3-4ec6-a895-0cbd0da38f37 · outbound

This paper cites Alpacafarm: a simulation framework for methods that learn from human feedback,.

Engineering AI Judge Systems Alpacafarm: a simulation framework for methods that learn from human feedback,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.063807Z

Source-reported events for the cited work

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Observation 9831402a-94fc-4b4a-bb73-8d52cc27b3c7 · outbound

This paper cites Bias and fairness in large language models: a survey,.

Engineering AI Judge Systems Bias and fairness in large language models: a survey,

Reference 30

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Source-reported events for the cited work

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

Observation 535c660a-2eb5-4e4a-8c8c-2d803839f901 · outbound

This paper cites Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning.

Engineering AI Judge Systems Self-Guided Noise-Free Data Generation for Efficient Zero-Shot Learning

Reference 31

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Observation 4944e0f9-35d0-4078-8829-e8f5a610a8e9 · outbound

This paper cites LLM-based NLG Evaluation: Current Status and Challenges.

Engineering AI Judge Systems LLM-based NLG Evaluation: Current Status and Challenges

Reference 32

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Observation 964d0df2-5403-4e1b-8136-a64903194b90 · outbound

This paper cites Fm+se vision 2030,.

Engineering AI Judge Systems Fm+se vision 2030,

Reference 33

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Observation 80f2e391-f7a0-4f0b-9247-39c261d7d047 · outbound

This paper cites Rethinking software engineering in the foundation model era: a curated catalogue of challenges in the development of trustworthy fmware,.

Engineering AI Judge Systems Rethinking software engineering in the foundation model era: a curated catalogue of challenges in the development of trustworthy fmware,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:19.029239Z

Source-reported events for the cited work

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

Observation 38c394b4-fb5d-4586-b09d-45b121f5a5ef · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Engineering AI Judge Systems Measuring Massive Multitask Language Understanding

Reference 35

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Observation abc6d780-04f7-4f85-bcb2-8b0d8f8b217b · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Engineering AI Judge Systems A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 36

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Observation 8f6c5c9f-b355-4868-9765-adf08a204dd1 · outbound

This paper cites AI safety via debate.

Engineering AI Judge Systems AI safety via debate

Reference 37

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Observation 601eb689-23ad-4590-b3ee-368c505574dd · outbound

This paper cites Kejriwal, Domain-specific knowledge graph construction.

Engineering AI Judge Systems Kejriwal, Domain-specific knowledge graph construction

Reference 38

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Observation dce9d1bd-1dd9-479a-9f89-db458e0f2469 · outbound

This paper cites On scalable oversight with weak LLMs judging strong LLMs.

Engineering AI Judge Systems On scalable oversight with weak LLMs judging strong LLMs

Reference 39

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Observation 28284a8d-410a-4e89-b44b-1d1c75aff2f3 · outbound

This paper cites Debating with More Persuasive LLMs Leads to More Truthful Answers.

Engineering AI Judge Systems Debating with More Persuasive LLMs Leads to More Truthful Answers

Reference 40

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Observation 84a337a4-3562-4833-9efb-ddcd9b7d00f5 · outbound

This paper cites Dspy: compiling declarative language model calls into state-of-the-art pipelines,.

Engineering AI Judge Systems Dspy: compiling declarative language model calls into state-of-the-art pipelines,

Reference 41

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Observation f9386766-e1fd-461f-9013-e120f2ed1260 · outbound

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Engineering AI Judge Systems Software engineering for machine learning applications (semla) 2023,

Reference 42

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Observation dac9e283-2527-47fb-8842-c2df3acbb6cc · outbound

This paper cites Understanding the Effects of RLHF on LLM Generalisation and Diversity.

Engineering AI Judge Systems Understanding the Effects of RLHF on LLM Generalisation and Diversity

Reference 43

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Engineering AI Judge Systems On the role of knowledge graphs in explainable ai,

Reference 44

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Observation 2104f4a8-8d00-479d-aa47-f19387188b8c · outbound

This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

Engineering AI Judge Systems Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 45

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

Engineering AI Judge Systems Rouge: a package for automatic evaluation of summaries,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:18.968535Z

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Observation 56a5924d-8edc-4c5f-8af5-dc72367b80be · outbound

This paper cites Best Practices and Lessons Learned on Synthetic Data.

Engineering AI Judge Systems Best Practices and Lessons Learned on Synthetic Data

Reference 47

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Observation a57f28fd-7676-4364-9c5f-b975c931315e · outbound

This paper cites Calibrating LLM-Based Evaluator.

Engineering AI Judge Systems Calibrating LLM-Based Evaluator

Reference 48

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Observation ae9b3172-cb8b-4264-b00e-b1fc5795ef68 · outbound

This paper cites Generating training data with language models: towards zero-shot language understanding,.

Engineering AI Judge Systems Generating training data with language models: towards zero-shot language understanding,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:18.956636Z

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Observation eb717707-4edb-4c03-aeb5-23bf499ef0a4 · outbound

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

Engineering AI Judge Systems Cider: robust consensus-based image description evaluation,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:18.944650Z

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Observation 95a55474-bc6c-4ec1-81f6-73192c62e639 · outbound

This paper cites A framework for evaluating and improving requirements specifications based on the developers and testers perspective,.

Engineering AI Judge Systems A framework for evaluating and improving requirements specifications based on the developers and testers perspective,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:18.932435Z

Source-reported events for the cited work

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Observation 698c9c48-3d7c-4663-9190-028b2013d533 · outbound

This paper cites Human-Centered Design Recommendations for LLM-as-a-Judge.

Engineering AI Judge Systems Human-Centered Design Recommendations for LLM-as-a-Judge

Reference 52

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Observation d380be56-886c-43af-a80c-d04386398aaf · outbound

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

Engineering AI Judge Systems Bleu: a method for automatic evaluation of machine translation,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:18.920316Z

Source-reported events for the cited work

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

Observation a5a90d46-9e76-4ecb-94ce-4bf898a63156 · outbound

This paper cites The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities.

Engineering AI Judge Systems The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-12T11:59:18.365781Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57920572-3461-49cf-b1b9-5a97faa05cee · outbound

This paper cites Verbosity Bias in Preference Labeling by Large Language Models.

Engineering AI Judge Systems Verbosity Bias in Preference Labeling by Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-12T11:59:18.369902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f1b10a0-d706-48ae-a6fd-e0e483db6f0e · outbound

This paper cites BLEURT: Learning Robust Metrics for Text Generation.

Engineering AI Judge Systems BLEURT: Learning Robust Metrics for Text Generation

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T11:59:18.374841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1cd8717b-f6b1-4089-aec4-d5b796dbcae0 · outbound

This paper cites On automatic summarization of what and why information in source code changes,.

Engineering AI Judge Systems On automatic summarization of what and why information in source code changes,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:18.906996Z

Source-reported events for the cited work

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

Observation ff1d24d0-ab0f-4ea3-92d4-57d3d1841f88 · outbound

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

Engineering AI Judge Systems On the evaluation of neural code summarization,

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:18.894287Z

Source-reported events for the cited work

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

Observation f1f2be3f-b8ef-4e6c-9a72-9c183b1bb0f9 · outbound

This paper cites RACE: Retrieval-augmented commit message generation,.

Engineering AI Judge Systems RACE: Retrieval-augmented commit message generation,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:18.882388Z

Source-reported events for the cited work

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

Observation 9de57533-72ab-447b-9c2e-9a16d1936911 · outbound

This paper cites On the evaluation of commit message generation models: an experimental study,.

Engineering AI Judge Systems On the evaluation of commit message generation models: an experimental study,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:18.870426Z

Source-reported events for the cited work

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

Observation 68bbccb3-869f-49bb-aa65-0f68b69ef797 · outbound

This paper cites Alpaca: a strong, replicable instruction-following model,.

Engineering AI Judge Systems Alpaca: a strong, replicable instruction-following model,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:18.858724Z

Source-reported events for the cited work

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

Observation 196eee81-2147-4992-9d96-4f60defcddda · outbound

This paper cites Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges.

Engineering AI Judge Systems Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-12T11:59:18.400788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d64aa7a2-c591-4f8b-8884-5cb6100a9cc3 · outbound

This paper cites Synthetic data, real errors: how (not) to publish and use synthetic data,.

Engineering AI Judge Systems Synthetic data, real errors: how (not) to publish and use synthetic data,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:18.844266Z

Source-reported events for the cited work

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

Observation a7d2c3be-6852-4eea-b3be-9e62162e1d76 · outbound

This paper cites Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models.

Engineering AI Judge Systems Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-12T11:59:18.409126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02d0b65c-f5f1-4087-b51f-22bad0f786a2 · outbound

This paper cites Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates.

Engineering AI Judge Systems Systematic Evaluation of LLM-as-a-Judge in LLM Alignment Tasks: Explainable Metrics and Diverse Prompt Templates

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-12T11:59:18.413886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5746f32f-31dc-40ec-b425-a3aa15be497f · outbound

This paper cites Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems.

Engineering AI Judge Systems Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM Inference on Heterogeneous Systems

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-12T11:59:18.417892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99eedc02-be11-4d1c-bb22-864eaef6e7e4 · outbound

This paper cites Fake it till you make it: face analysis in the wild using synthetic data alone,.

Engineering AI Judge Systems Fake it till you make it: face analysis in the wild using synthetic data alone,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:18.831987Z

Source-reported events for the cited work

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

Observation 219aebda-04d4-455d-b19a-6145c4cbea0a · outbound

This paper cites Commit message generation via chatgpt: how far are we?.

Engineering AI Judge Systems Commit message generation via chatgpt: how far are we?

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:18.820449Z

Source-reported events for the cited work

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

Observation f890a40e-3532-4f3d-b0f0-0e99dbe9cb2c · outbound

This paper cites Automatic commit message generation: a critical review and directions for future work,.

Engineering AI Judge Systems Automatic commit message generation: a critical review and directions for future work,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:18.808693Z

Source-reported events for the cited work

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

Observation b3e532f0-e1c9-45c0-8e81-6851a8f47262 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena,.

Engineering AI Judge Systems Judging llm-as-a-judge with mt-bench and chatbot arena,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:59:18.795757Z

Source-reported events for the cited work

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

Pith citing papers

Observation a1f08563-e1d9-450b-b1fb-942ab696aa28 · inbound

Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers cites this paper.

Model Context Protocol (MCP) at First Glance: Studying the Security and Maintainability of MCP Servers Engineering AI Judge Systems

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-19T09:32:15.515399Z

Source-reported events for the cited work

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

Observation c3ec2d89-6bea-4e6b-8f3b-09f152b10195 · inbound

An Empirical Study on Logging Evolution On Stack Overflow: Trends, Topics, and Challenges cites this paper.

An Empirical Study on Logging Evolution On Stack Overflow: Trends, Topics, and Challenges Engineering AI Judge Systems

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-06-29T10:33:18.383835Z

Source-reported events for the cited work

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