Data set and pseudo-code for publication 10.5194/amt-2022-250
Bruce Forgan, Jülian Gröbner
Paper appears method- or tooling-adjacent to AI workflows with partial ecosystem coverage.
This is the data and example software code for the publication: New Absolute Cavity Pyrgeometer equation by application of Kirchhoff’s law and adding a convection term by Forgan et al., 2023, https://doi.org/10.5194/amt-2022-250
Results & Benchmarks
No concrete benchmark grounding is available yet. Treat the page as context or an implementation starting point only.
This is the data and example software code for the publication: New Absolute Cavity Pyrgeometer equation by application of Kirchhoff’s law and adding a convection term by Forgan et al., 2023, https://doi.org/10.5194/amt-2022-250
Implementation Evidence Summary
codefuse-ai/Awesome-Code-LLM is the closest maintained adjacent implementation (Title overlap with paper keywords (40%)). It is not paper-verified; validate algorithm and evaluation setup against the paper before trusting reported metrics. Community adoption signal: 3261 GitHub stars.
Reproduction Risks
- Adjacent implementations are not paper-verified
- Recommended repository is adjacent and not paper-verified.
Hardware Notes
Expect multi-day setup/compute for meaningful reproduction based on current guidance.
Evidence disclosure
Evidence graph: 3 refs, 3 links.
Utility signals: depth 70/100, grounding 75/100, status medium.
Implementation Status
There is no verified maintained implementation yet. Use this baseline plan to decide whether to prototype now or defer.
- No maintained paper-verified implementation was found; start with the closest related repositories below.
- Compare repo methods against the paper equations/algorithm before trusting metrics.
- Create a minimal baseline implementation from the paper and use adjacent repos as references.
Reproduction readiness
Hardware requirements
- Expect multi-day setup/compute for meaningful reproduction based on current guidance.
No verified implementation available
- · No maintained repository has been identified for this paper. Check adjacent implementations or HF artifacts below.
No benchmark numbers could be verified. You will not be able to validate reproduction correctness against published numbers.
Closest related implementations
These are not paper-verified. Use them as reference points when no direct implementation is available.
- codefuse-ai/Awesome-Code-LLMAdjacentConfidence: MediumStars: 3,261
Title overlap with paper keywords (40%)
- Spacial/csstuffAdjacentConfidence: LowStars: 83
Matches contextual method/domain keyword: computer science
Hugging Face artifacts
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Datasets
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Research context
13
Citations
0
References
Tasks
Set (abstract data type), Code (set theory), Computer science, Programming language, Physical Sciences
Methods
None detected
Domains
Mathematics, Physics and Astronomy, Statistical and Nonlinear Physics
Evaluation & Human Feedback Data
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