Approximating the universal thermal climate index using sparse regression with orthogonal polynomials | Paper Citation Record

Observation 6beb79a5-9af2-4975-9318-1efbe2cdcb67 · outbound

This paper cites Exploring the effectiveness of llms in automated logging statement generation: An empirical study,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Exploring the effectiveness of llms in automated logging statement generation: An empirical study,

Reference 1

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This paper cites Larger Is Not Always Better: Exploring Small Open-source Language Models in Logging Statement Generation.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Larger Is Not Always Better: Exploring Small Open-source Language Models in Logging Statement Generation

Reference 2

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This paper cites SherLog: error diagnosis by connecting clues from run-time logs,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials SherLog: error diagnosis by connecting clues from run-time logs,

Reference 3

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This paper cites The Bones of the System: A Case Study of Logging and Telemetry at Microsoft,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials The Bones of the System: A Case Study of Logging and Telemetry at Microsoft,

Reference 4

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Observation c34aeb10-2dbf-46cc-a8da-16d01a891571 · outbound

This paper cites A comparative evaluation of log-based process performance analysis techniques,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials A comparative evaluation of log-based process performance analysis techniques,

Reference 5

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Observation b10d8d15-2fff-4881-a5a9-823f8c748a0d · outbound

This paper cites An empirical study on leveraging logs for debugging production failures,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials An empirical study on leveraging logs for debugging production failures,

Reference 6

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Observation 83ddf68a-5a8c-4d2c-90f8-e4c9198c86a4 · outbound

This paper cites Automatic abnormal log detection by analyzing log history for providing debugging insight,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Automatic abnormal log detection by analyzing log history for providing debugging insight,

Reference 7

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Approximating the universal thermal climate index using sparse regression with orthogonal polynomials A qualitative study of the benefits and costs of logging from developers’ perspectives,

Reference 8

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Observation 061fcd4b-0a2f-4ec4-ac0f-ae0b1d77f9fe · outbound

This paper cites A Survey on Automated Log Analysis for Reliability Engineering,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials A Survey on Automated Log Analysis for Reliability Engineering,

Reference 9

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Observation ab722c7f-5d15-4fc9-bb6b-35b15719fdcc · outbound

This paper cites Did we miss something important? studying and exploring variable-aware log abstraction,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Did we miss something important? studying and exploring variable-aware log abstraction,

Reference 10

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Observation 8c904a6d-57e2-4899-90ca-fe6d55e13364 · outbound

This paper cites Characterizing and Detecting Anti-Patterns in the Logging Code,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Characterizing and Detecting Anti-Patterns in the Logging Code,

Reference 11

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Observation b4778778-9c61-4ad8-a455-52957562af1a · outbound

This paper cites Studying and detecting log-related issues,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Studying and detecting log-related issues,

Reference 12

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Observation e23a2434-6b52-48c9-a6c8-5062b09f967f · outbound

This paper cites DLFinder: Characterizing and Detecting Duplicate Logging Code Smells,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials DLFinder: Characterizing and Detecting Duplicate Logging Code Smells,

Reference 13

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Observation 0c39f317-302a-44b7-9459-3093672ff0f0 · outbound

This paper cites HBASE-27099,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials HBASE-27099,

Reference 14

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Observation 38708d4c-e0f3-4f2a-b127-423a431f8679 · outbound

This paper cites Characterizing logging practices in open- source software,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Characterizing logging practices in open- source software,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:56.908973Z

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Observation a5a22647-fe37-4195-8a1d-2c3011ee0d18 · outbound

This paper cites On the Temporal Relations between Logging and Code,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials On the Temporal Relations between Logging and Code,

Reference 16

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Observation 74c074a4-e20c-4118-841c-3098cd23cfe0 · outbound

This paper cites Are They All Good? Studying Practitioners’ Expectations on the Readability of Log Messages,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Are They All Good? Studying Practitioners’ Expectations on the Readability of Log Messages,

Reference 17

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Observation 00281774-0d33-4938-a659-76c5b839c765 · outbound

This paper cites Perfcodegen: Improving performance of llm generated code with execution feedback,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Perfcodegen: Improving performance of llm generated code with execution feedback,

Reference 18

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Observation af8cbebe-ce23-482b-80fa-b6cb4ccec3fa · outbound

This paper cites Reasoning runtime behavior of a program with llm: How far are we?.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Reasoning runtime behavior of a program with llm: How far are we?

Reference 19

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Observation 9600db74-d376-4cf2-b7c4-38c2cce36eb4 · outbound

This paper cites COFFE: A Code Efficiency Benchmark for Code Generation.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials COFFE: A Code Efficiency Benchmark for Code Generation

Reference 20

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Observation 8ce3cd4c-94a7-4b18-a89f-5d61a7e7c7c1 · outbound

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Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Code search is all you need? improving code suggestions with code search,

Reference 21

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Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Assessing and advancing benchmarks for evaluating large language models in software engineering tasks,

Reference 22

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Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Re-Ranking Step by Step: Investigating Pre-Filtering for Re-Ranking with Large Language Models

Reference 23

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Observation 87d88f3b-a9ee-4608-98de-98cfa7c7971f · outbound

This paper cites Replicaton package,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Replicaton package,

Reference 24

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Observation a99b7ddf-27d6-443f-baf2-14d7e1f48a23 · outbound

This paper cites Logupdater: Automated detection and repair of specific defects in logging statements,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Logupdater: Automated detection and repair of specific defects in logging statements,

Reference 25

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Observation ae042f3a-8d77-49db-af5a-9cb66fa0709a · outbound

This paper cites Learning to Log: Helping Developers Make Informed Logging Decisions,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Learning to Log: Helping Developers Make Informed Logging Decisions,

Reference 26

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Observation cf14f505-6b70-41e3-8aed-073015f45d5a · outbound

This paper cites Where Shall We Log? Studying and Suggesting Logging Locations in Code Blocks,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Where Shall We Log? Studying and Suggesting Logging Locations in Code Blocks,

Reference 27

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Observation 38f3cfb5-20f7-4c70-a67a-d8c320826c8b · outbound

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Approximating the universal thermal climate index using sparse regression with orthogonal polynomials DeepLV: Suggesting Log Levels Using Ordinal Based Neural Networks,

Reference 28

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Observation 013b22b4-560b-405e-811a-182ee6f4d058 · outbound

This paper cites Benchmarking open-source large language models for log level suggestion,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Benchmarking open-source large language models for log level suggestion,

Reference 29

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Observation 1f5cf6ad-51f7-479c-86aa-eb0f4c0f1e4f · outbound

This paper cites LoGenText: Automatically Generating Logging Texts Using Neural Machine Translation,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials LoGenText: Automatically Generating Logging Texts Using Neural Machine Translation,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:54.830531Z

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Observation 9ef81b82-5827-4a37-a6a2-91fa10ba78cf · outbound

This paper cites LoGenText-Plus: Improving Neural Machine Translation Based Logging Texts Generation with Syntactic Templates,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials LoGenText-Plus: Improving Neural Machine Translation Based Logging Texts Generation with Syntactic Templates,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:54.624923Z

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Observation 90e1f833-f747-468f-bd78-ab08089a87b3 · outbound

This paper cites Go static: Contextualized logging statement generation,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Go static: Contextualized logging statement generation,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:54.395168Z

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Observation 664357cb-6123-4136-b859-bfdc1529a00c · outbound

This paper cites Llmparser: An exploratory study on using large language models for log parsing,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Llmparser: An exploratory study on using large language models for log parsing,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:54.316409Z

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Observation afd2b362-8b71-4020-9cbe-5b2b5a34422e · outbound

This paper cites Free: Towards more practical log parsing with large language models,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Free: Towards more practical log parsing with large language models,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:54.053583Z

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Observation 0051a2ea-057b-4dfb-bfb3-ca8ab829f972 · outbound

This paper cites Autolog: A log sequence synthesis framework for anomaly detection,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Autolog: A log sequence synthesis framework for anomaly detection,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:53.932388Z

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Observation 48926fc5-f159-41cb-b4a1-edb05db21cc9 · outbound

This paper cites Logsd: Detecting anomalies from system logs through self-supervised learning and frequency-based masking,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Logsd: Detecting anomalies from system logs through self-supervised learning and frequency-based masking,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:53.815220Z

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Observation 8890eb00-c0f1-4b47-ae68-9256cf2c8045 · outbound

This paper cites Pathidea: Improving information retrieval-based bug localization by re-constructing execution paths using logs,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Pathidea: Improving information retrieval-based bug localization by re-constructing execution paths using logs,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:53.679927Z

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Observation ababea57-6526-422d-a4f2-4fcd9732f690 · outbound

This paper cites Log4perf: Suggesting logging locations for web-based systems’ perfor- mance monitoring,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Log4perf: Suggesting logging locations for web-based systems’ perfor- mance monitoring,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:53.494831Z

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Observation 3ebf38f9-6435-44e3-8907-335c6b60863c · outbound

This paper cites Characterizing the natural language descriptions in software logging statements,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Characterizing the natural language descriptions in software logging statements,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:53.388245Z

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Observation 4ec67f83-dc39-4249-bb3f-f889b961d92f · outbound

This paper cites Drain: An Online Log Parsing Approach with Fixed Depth Tree,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Drain: An Online Log Parsing Approach with Fixed Depth Tree,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:53.263883Z

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Observation 7616e32f-f3b4-4e96-acf2-5bcf23973fff · outbound

This paper cites Self- supervised Log Parsing,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Self- supervised Log Parsing,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:53.096654Z

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Observation 888e640d-74c2-4fca-b021-49843fa0ab7e · outbound

This paper cites Execution anomaly detection in distributed systems through unstructured log analysis,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Execution anomaly detection in distributed systems through unstructured log analysis,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:52.976129Z

Source-reported events for the cited work

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Observation 6e253f2f-3f20-4343-b8f3-58d5fd9ef569 · outbound

This paper cites LogLens: A real-time log analysis system,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials LogLens: A real-time log analysis system,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:52.863405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a09d8c8c-1628-4e93-905e-ef544bd12788 · outbound

This paper cites UiLog: Improving log-based fault diagnosis by log analysis.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials UiLog: Improving log-based fault diagnosis by log analysis

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:52.726903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9ecde8ef-3aa3-4cd5-8247-a04990e0840a · outbound

This paper cites Log- based fault localization with unsupervised log segmentation.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Log- based fault localization with unsupervised log segmentation

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:52.562107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d79898fd-5aff-48c0-9f8c-70cb863585a2 · outbound

This paper cites Understanding practitioners’ expectations on clear code review comments,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Understanding practitioners’ expectations on clear code review comments,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:52.360316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7dad5922-6d00-4395-b515-50836901bdb0 · outbound

This paper cites Nlperturbator: Studying the robustness of code llms to natural language variations,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Nlperturbator: Studying the robustness of code llms to natural language variations,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:52.179666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aa599eae-883f-49b4-9fa4-056f7797599c · outbound

This paper cites Project-specific code summarization with in-context learning,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Project-specific code summarization with in-context learning,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:51.973729Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 273e5c77-9f9b-428c-9f82-1f3c1339f6b8 · outbound

This paper cites ProConSuL: Project context for code summarization with LLMs,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials ProConSuL: Project context for code summarization with LLMs,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:51.789225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a0ee4e1b-1881-4306-ba2e-56aba59584b4 · outbound

This paper cites Code vulnerability repair with large language model using context-aware prompt tuning,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Code vulnerability repair with large language model using context-aware prompt tuning,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:51.637687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3176c3fe-3a61-4310-b1b9-bc29c331dd61 · outbound

This paper cites Context- aware code summary generation,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Context- aware code summary generation,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:51.481183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a78ee6f9-7c67-4451-a635-36b3013c25f4 · outbound

This paper cites Context-aware code generation with synchronous bidirectional decoder,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Context-aware code generation with synchronous bidirectional decoder,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:51.341850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b846c169-07a8-464e-bd19-7f8d34221b9c · outbound

This paper cites Studying duplicate logging statements and their relationships with code clones,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Studying duplicate logging statements and their relationships with code clones,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:51.158993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ccb0db2a-323f-44a0-96b7-bf62f93f1b64 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Large Language Models are Zero-Shot Reasoners,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:51.001637Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 355824c9-4834-4e14-811e-d480b7403429 · outbound

This paper cites ELLA: Empowering LLMs for Interpretable, Accurate and Informative Legal Advice,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials ELLA: Empowering LLMs for Interpretable, Accurate and Informative Legal Advice,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:50.816045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f55aaf3f-ae36-4890-b6e3-93a616c92ae8 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Chain-of-thought prompting elicits reasoning in large language models,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:50.601925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d607588a-8731-4152-bf5c-c69cb1e6e59d · outbound

This paper cites Qwen2.5 Technical Report,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Qwen2.5 Technical Report,

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:50.422906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5f30fe6a-3cd7-4d1c-aee5-282d0702b688 · outbound

This paper cites DeepSeek-r1: Incentivizing reasoning capability in LLMs via reinforcement learning.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials DeepSeek-r1: Incentivizing reasoning capability in LLMs via reinforcement learning

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:50.212244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9016c2da-dacd-41e0-bd19-8add01f162df · outbound

This paper cites The llama 3 herd of models.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials The llama 3 herd of models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:50.034020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e377a9db-549e-40a8-bbfa-2ad7aa15a89b · outbound

This paper cites an unresolved cited work.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Unresolved cited work

Reference 60

Resolution: unresolved; raw_fallback, observed 2026-08-05T20:04:49.850035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bce252e4-cc35-43cd-bd99-90abe413673f · outbound

This paper cites Understand: The Software Developer’s Multi-Tool,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Understand: The Software Developer’s Multi-Tool,

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:49.659536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6a8396f6-06ea-4469-a925-264cc1e0d0d5 · outbound

This paper cites HBASE-24367,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials HBASE-24367,

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:49.480682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ebca0206-9c00-455e-870b-99ba7890ff5b · outbound

This paper cites AutoMQ-Commit-e6f8ca8,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials AutoMQ-Commit-e6f8ca8,

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:49.299820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 59833a12-d15c-4e80-a039-515d293d5d1b · outbound

This paper cites HDFS-15045,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials HDFS-15045,

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:49.137684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation deb69bf2-d109-42e7-bfe3-36c22e6d9dd3 · outbound

This paper cites Y ARN-6951,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Y ARN-6951,

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:48.969883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2a01e7f7-4751-4cc1-95ee-94501b4daf5d · outbound

This paper cites HIVE-20796,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials HIVE-20796,

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:48.802724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 49c32b45-9fcf-4601-8b4d-e37abd08ed81 · outbound

This paper cites HDFS-17310,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials HDFS-17310,

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:48.629685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3994178b-2239-44fb-aad9-14f653a151e9 · outbound

This paper cites HIVE-25794,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials HIVE-25794,

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:48.492648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0b0642e7-b2e5-4e69-8532-3163bf1314a7 · outbound

This paper cites A coefficient of agreement for nominal scales,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials A coefficient of agreement for nominal scales,

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:48.284995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f35fde9b-d365-41df-99bc-df6484d55d7b · outbound

This paper cites Y ARN-8907,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Y ARN-8907,

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:48.058668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b5257585-3b7a-4209-a333-531448d26881 · outbound

This paper cites HDFS-15197,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials HDFS-15197,

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:47.848178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e0780577-a35c-4523-a1f6-5ff598c5f074 · outbound

This paper cites HDFS-14407,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials HDFS-14407,

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:47.599623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2449730c-9403-4d00-a510-942e1a55c090 · outbound

This paper cites Camel-Commit-0c1a589,.

Approximating the universal thermal climate index using sparse regression with orthogonal polynomials Camel-Commit-0c1a589,

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T20:04:47.381987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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