Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:18:52.415210Z
Paper Citation Record · LEDGER
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks
As of 8 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2505.15631.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
53 of 53 outbound references displayed
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation abf16a4b-0306-4a89-9930-5773d8e4a74f · outbound
This paper cites Gradient-based learning applied to document recognition,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Gradient-based learning applied to document recognition,
Reference 1
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48c87cf0-789c-414d-ade6-945375e2b3b0 · outbound
This paper cites Fully convolutional networks for semantic segmentation,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Fully convolutional networks for semantic segmentation,
Reference 2
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 839ea99b-ca3f-4166-8d4b-71593beb542f · outbound
This paper cites Long short-term memory,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Long short-term memory,
Reference 3
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Source-reported events for the cited work
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Observation 0bda36c1-9255-40c6-aab4-0506b8062eda · outbound
This paper cites ImageNet classification with deep convolutional neural networks,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks ImageNet classification with deep convolutional neural networks,
Reference 4
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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 84b2c4f4-5b1a-4ab6-9073-2d22d0ecf9ad · outbound
This paper cites Going deeper with convolutions,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Going deeper with convolutions,
Reference 5
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Source-reported events for the cited work
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Observation 9af8eb82-ac99-4e9a-b109-eefacf82a88a · outbound
This paper cites Deep residual learning for image recognition,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Deep residual learning for image recognition,
Reference 6
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 215fbffd-57ec-4700-a37f-2e32786eed20 · outbound
This paper cites Attention is all you need,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Attention is all you need,
Reference 7
- Resolution
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Source-reported events for the cited work
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Observation f41897ec-4e63-4be8-be35-46d5256cacac · outbound
This paper cites Hutter, L.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Hutter, L
Reference 8
- Resolution
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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 fdbe478a-e325-4565-a8af-d7f534f48e33 · outbound
This paper cites Neural architecture search: a survey,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Neural architecture search: a survey,
Reference 9
- Resolution
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Source-reported events for the cited work
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Observation 6e6dd2c4-d45b-4cf9-8878-fa908ec36653 · outbound
This paper cites Meta pseudo labels,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Meta pseudo labels,
Reference 10
- Resolution
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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 9dc50ddb-d0b7-4390-a6d6-f06e58369e5d · outbound
This paper cites Searching for efficient transformers for language modeling,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Searching for efficient transformers for language modeling,
Reference 11
- Resolution
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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 5824c7f4-f851-493f-b997-625473c86bb4 · outbound
This paper cites Neural architecture search with reinforcement learning,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Neural architecture search with reinforcement learning,
Reference 12
- Resolution
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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 b1c863f8-e5d7-465f-874d-bc336f382cdc · outbound
This paper cites Green AI,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Green AI,
Reference 13
- Resolution
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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 39abd4b1-387c-49dc-ba0f-466df3e64715 · outbound
This paper cites Towards Green Automated Machine Learning: Status Quo and Future Directions,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Towards Green Automated Machine Learning: Status Quo and Future Directions,
Reference 14
- Resolution
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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 c3f36c31-300c-4eba-9982-5e4ceca3cbc5 · outbound
This paper cites NAS-Bench-201: Extending the Scope of Repro- ducible Neural Architecture Search,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks NAS-Bench-201: Extending the Scope of Repro- ducible Neural Architecture Search,
Reference 15
- Resolution
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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 fc1ce83d-6d3c-4a80-8c27-7dc9a468b99c · outbound
This paper cites Hardware-aware neural architecture search: Survey and taxonomy,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Hardware-aware neural architecture search: Survey and taxonomy,
Reference 16
- Resolution
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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 2cb4f4d5-78c8-4915-8668-aea87d8f1d0c · outbound
This paper cites Edge intelligence: Paving the last mile of artificial intelligence with edge computing,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Edge intelligence: Paving the last mile of artificial intelligence with edge computing,
Reference 17
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3baad1fa-0778-4f3c-a951-75b42d4eed56 · outbound
This paper cites Learning iot in edge: Deep learning for the internet of things with edge computing,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Learning iot in edge: Deep learning for the internet of things with edge computing,
Reference 18
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation cc1fd5f9-c5b7-4e92-9eeb-4e0e29d7de00 · outbound
This paper cites HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks HW-NAS-Bench: Hardware-Aware Neural Architecture Search Benchmark,
Reference 19
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 467a1cbd-ab1a-455d-b2a5-a6c73b460bbc · outbound
This paper cites EA-HAS-bench: Energy-aware hyperparameter and architecture search benchmark,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks EA-HAS-bench: Energy-aware hyperparameter and architecture search benchmark,
Reference 20
- Resolution
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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 506d297b-601f-4e57-b67a-5fb0cd8d42ff · outbound
This paper cites NVIDIA Management Library,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks NVIDIA Management Library,
Reference 21
- Resolution
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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 477953d0-ef7b-4326-9d5f-64f8a5f8eda2 · outbound
This paper cites mlco2/codecarbon: v2.4.1,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks mlco2/codecarbon: v2.4.1,
Reference 22
- Resolution
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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 adc8d06f-6996-4be2-9530-5e39aa95aacc · outbound
This paper cites Auto-pytorch tabular: Multi- fidelity metalearning for efficient and robust autodl,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Auto-pytorch tabular: Multi- fidelity metalearning for efficient and robust autodl,
Reference 23
- Resolution
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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 446f5adf-cdea-4d1b-8766-1c17d1410b07 · outbound
This paper cites Efficient neural architecture search via parameters sharing,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Efficient neural architecture search via parameters sharing,
Reference 24
- Resolution
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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 19ab99c1-e06f-4ee9-9aac-e468b0789096 · outbound
This paper cites Efficient multi-objective neural architecture search via lamarckian evolution,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Efficient multi-objective neural architecture search via lamarckian evolution,
Reference 25
- Resolution
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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 f69d9b5f-ad51-40a3-a9ca-7172aa179656 · outbound
This paper cites Large-scale evolution of image classifiers,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Large-scale evolution of image classifiers,
Reference 26
- Resolution
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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 0721a9c7-010c-4c94-994b-8f474f830b0a · outbound
This paper cites DARTS: Differentiable Architecture Search,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks DARTS: Differentiable Architecture Search,
Reference 27
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 23a7f376-ed35-48fe-8484-a96c9bd71569 · outbound
This paper cites DARTS-: Robustly Stepping out of Performance Collapse Without Indicators,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks DARTS-: Robustly Stepping out of Performance Collapse Without Indicators,
Reference 28
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation e797d998-6c5f-4299-8822-95b48ed11ad0 · outbound
This paper cites Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Fair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search,
Reference 29
- Resolution
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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 eca04ef9-d07c-4a50-b7fa-ecd6130ae7f7 · outbound
This paper cites Progressive differentiable architecture search: Bridging the depth gap between search and evalua- tion,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Progressive differentiable architecture search: Bridging the depth gap between search and evalua- tion,
Reference 30
- Resolution
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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 9fe13056-a94e-40c6-9925-107d9b61358b · outbound
This paper cites Understanding and robustifying differentiable architecture search,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Understanding and robustifying differentiable architecture search,
Reference 31
- Resolution
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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 e24a9f80-d9d0-4abe-88d8-f9fcacd982f8 · outbound
This paper cites Zero-shot neural architecture search: Challenges, solutions, and opportunities,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Zero-shot neural architecture search: Challenges, solutions, and opportunities,
Reference 32
- Resolution
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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 c357306e-41fa-41f0-aca0-f50587c962fe · outbound
This paper cites MicroNAS: Zero-Shot Neural Architecture Search for MCUs,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks MicroNAS: Zero-Shot Neural Architecture Search for MCUs,
Reference 33
- Resolution
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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 a2e33cfd-26a5-42bf-8164-46cfd9e44b9b · outbound
This paper cites An efficient multi-objective evolutionary zero-shot neural architecture search framework for image classification,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks An efficient multi-objective evolutionary zero-shot neural architecture search framework for image classification,
Reference 34
- Resolution
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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 2ced9483-3340-415b-8141-081c9802b996 · outbound
This paper cites NAS-Bench-101: Towards reproducible neural architecture search,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks NAS-Bench-101: Towards reproducible neural architecture search,
Reference 35
- Resolution
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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 be05c56c-ecab-4985-b02d-3504d140aef8 · outbound
This paper cites NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks NAS-Bench-301 and the Case for Surrogate Benchmarks for Neural Architecture Search,
Reference 36
- Resolution
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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 df856f49-63cd-4005-9779-7ae618cbac89 · outbound
This paper cites JAHS- Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks JAHS- Bench-201: A Foundation For Research On Joint Architecture And Hyperparameter Search,
Reference 37
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 490692bb-9e1f-4cc0-918e-167877517191 · outbound
This paper cites EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks EC-NAS: Energy Consumption Aware Tabular Benchmarks for Neural Architecture Search,
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 2026-08-08T06:32:00.761636+00:00.
Observation 448a8a22-ab5d-44ee-87cf-efd9d37c2778 · outbound
This paper cites Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Auto-NBA: Efficient and Effective Search Over the Joint Space of Networks, Bitwidths, and Accelerators,
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 2026-08-08T06:32:00.761636+00:00.
Observation 53776d76-29cf-4180-bef6-0928c3827fc4 · outbound
This paper cites Accurate and convenient energy measurements for gpus: A detailed study of nvidia gpu’s built-in power sensor,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Accurate and convenient energy measurements for gpus: A detailed study of nvidia gpu’s built-in power sensor,
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 2026-08-08T06:32:00.761636+00:00.
Observation 07ef6c8b-ea45-4712-a5e0-b02c3fb20596 · outbound
This paper cites NVIDIA System Management Interface Documentation,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks NVIDIA System Management Interface Documentation,
Reference 41
- Resolution
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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 a100df48-257f-4170-a34c-98cf9441c3b6 · outbound
This paper cites RAPL: memory power estimation and capping,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks RAPL: memory power estimation and capping,
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 2026-08-08T06:32:00.761636+00:00.
Observation 28ab4cf2-0171-42fb-bae8-935390d33d89 · outbound
This paper cites Rouvoy, “pyRAPL,” 2023.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Rouvoy, “pyRAPL,” 2023
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:18:54.566043Z
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 1efbb96b-0601-4c92-9e3f-89567d9bf9d3 · outbound
This paper cites Power monitoring with papi for extreme scale architectures and dataflow-based program- ming models,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Power monitoring with papi for extreme scale architectures and dataflow-based program- ming models,
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:18:53.948196Z
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 db2ae559-1a89-4010-8abe-c1aa1a3d2877 · outbound
This paper cites LIKWID: A Lightweight Performance-Oriented Tool Suite for x86 Multicore Environments,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks LIKWID: A Lightweight Performance-Oriented Tool Suite for x86 Multicore Environments,
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:18:53.459320Z
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 db84d1a1-725a-4f09-889d-5daeb6161c0c · outbound
This paper cites A Validation of DRAM RAPL Power Measurements,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks A Validation of DRAM RAPL Power Measurements,
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:18:53.254563Z
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 4ba96c74-643f-444e-a067-d11638791360 · outbound
This paper cites Quantifying the Carbon Emissions of Machine Learning.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Quantifying the Carbon Emissions of Machine Learning
Reference 47
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b8b94a0f-ba3f-40f7-86af-24a9f80dc92a · outbound
This paper cites Energy Usage Reports: Environmental awareness as part of algorithmic accountability.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Energy Usage Reports: Environmental awareness as part of algorithmic accountability
Reference 48
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9a9c26e-cc86-4aaa-ac23-8fa133c307a9 · outbound
This paper cites How to estimate carbon footprint when training deep learning models? A guide and review.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks How to estimate carbon footprint when training deep learning models? A guide and review
Reference 49
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T15:18:52.575245Z
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 87b38b38-1b44-4c80-b892-bcc29ecd900a · outbound
This paper cites The carbon footprint of machine learning training will plateau, then shrink,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks The carbon footprint of machine learning training will plateau, then shrink,
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:18:52.033327Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 094f26a2-9bd0-4711-a14f-b02c12f215a1 · outbound
This paper cites Introducing FIRESTARTER: A processor stress test utility,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks Introducing FIRESTARTER: A processor stress test utility,
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:18:52.993659Z
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 50760b4d-e145-44b3-b333-1cc4e5bcc124 · outbound
This paper cites RegNet: Self- Regulated Network for Image Classification,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks RegNet: Self- Regulated Network for Image Classification,
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T15:18:52.822611Z
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 06a1eb46-053c-4b1b-906e-e487c0fd09b6 · outbound
This paper cites ImageNet Large Scale Visual Recognition Challenge,.
Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks ImageNet Large Scale Visual Recognition Challenge,
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:18:52.415210Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.