Pith. sign in

Paper Citation Record · LEDGER

Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks

As of 19 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.

pith.paper-citation-record.v1
2505.15631 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:18:52.415210Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

53 of 53 outbound references displayed

  • verified exact1
  • verified fuzzy45
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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
unresolved
no resolver link, observed 2026-08-07T15:18:47.981930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:18:47.981930Z digest=sha256:f590610ff018f593b2c60d8df3f119adfcb1bd9612045280a079ed8a5c307bd4

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:18:48.042024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:18:48.042024Z digest=sha256:8f6336ef52600d48943c913ba4aeb0e97b432435d926f69ee884af81fde4cd07

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:19:02.523444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:48.153163Z digest=sha256:918f44259ca4ea312c4a902147c23e9295e583f9716c04980b52c9df2f4b8b86

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:19:02.308625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:48.213242Z digest=sha256:85997549fa5f8e4c78016da3efc2c6d406cd114265cca69b63bd74604af50623

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:19:02.136572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:48.307153Z digest=sha256:8cf85ce4c57394d52632fbceadc2316b4aa0422876dd8a545434d31601e8f7c8

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

Resolution
unresolved
no resolver link, observed 2026-08-07T15:18:48.384715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:18:48.384715Z digest=sha256:a68b1164121b6d29660271a853aab64fdd95e546f596335929ba45ed27ee8c34

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:19:01.993689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:48.449416Z digest=sha256:7392cef74e5e7a598de24788034c53502a8e11a48326f335c94599b744b8df43

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:19:01.827114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:48.557775Z digest=sha256:b8396d5f4f98a0563f87f2b265b92632cab8d4e77e612cb219ef1e33f9a89920

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:19:01.626323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:48.617906Z digest=sha256:db45902acd0a5337a996dc80d7976dc43ac01e3e0836d54775e793a1208a8d0a

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:19:01.517586Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:48.673236Z digest=sha256:1a950fb2949f8c9237d768352bf6633fd009ec80886ead92c12763dee9b24cbc

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:19:01.359720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:48.726641Z digest=sha256:ec4d253a1d16145ce3c48d14412b53b2e964241f2778dda6e8c1898a8d697e61

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:19:01.163440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:48.812704Z digest=sha256:e11a27aeb10739dcf8e98c60414695a815e28853bcb9dd2f07b2d12f0814f5b8

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:19:00.965309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:48.883073Z digest=sha256:365aec82d564d7d830cf6e07e2b2b1355b388feb77933a263db32b09dbb2a310

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:19:00.789808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:48.944216Z digest=sha256:f8d02693d7a4be06220c704ccd08253ac6913249ee8e9e10715af2fc9679e1b0

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:19:00.541073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:49.035433Z digest=sha256:9f8cf5e8fc12e6a154fb0eada968dff278cad60fdfc09503352168e07a9288a1

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:19:00.321037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:49.110187Z digest=sha256:7363616668edaa62ae4b0f50aad4c709061001aee0db0e1c23c8b91ca259b376

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
raw_fallback, observed 2026-08-07T15:19:00.153540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:49.178719Z digest=sha256:4881154385ed32f545cdfae26c2a761a0388d602311827c1d4a44da9c55febfe

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
raw_fallback, observed 2026-08-07T15:18:59.927811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:49.232164Z digest=sha256:e28239ebc1f03c065c6d15da664fc5e9351810f1907bb78045d398a5e9ddad5f

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
raw_fallback, observed 2026-08-07T15:18:59.736957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:49.315481Z digest=sha256:192f7ccdb7b95287127dbdace988e19a34d311f916b91e8d5e34709a99db5948

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:18:59.548101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:49.408241Z digest=sha256:316f60eedba69ab737c61bc6dbeecfb55cec51fc2986372e830aabdfed46741f

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:18:59.370246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:49.489461Z digest=sha256:631585ccf5199f64e2c7d34c3a9302ee0689936f74bab1fa68d5af87f6746a0e

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:18:59.151695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:49.592684Z digest=sha256:70d1629d9597560e4dba18710f5d1ef5e98464067c9796f053d5014a61e2970a

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:18:58.955219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:49.667775Z digest=sha256:65b28031d5bf4f28e4c605621819acd460ae3b4b7b24d635844825221693d2ee

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:18:58.780860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:49.733015Z digest=sha256:c1efbfe977147a790d6eec4d0a7c392dfb872bc08b7859f4f4f7a376d3079b85

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:18:58.590239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:49.822117Z digest=sha256:85873fc96bd184e78bf6beed8659fe9c7f0c74586c811720a1c4beecb9484c6a

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:18:58.361068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:49.901908Z digest=sha256:734af933375728cc900c4606e6e3ba5d597b04967d31e8a924591f63459564a2

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
raw_fallback, observed 2026-08-07T15:18:58.149484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:49.982018Z digest=sha256:11ee6d359ec902c57836fdd66605cab851bdfd48552378499dc7826d560c5ba2

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
raw_fallback, observed 2026-08-07T15:18:57.868464Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:50.099217Z digest=sha256:e76f5e36d9d6d5c50fdfdee258d7b2db66d31a91196e08beff3b16fd43b6a363

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:18:57.674374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:50.160390Z digest=sha256:90ae3dc500b4c6a1d4137b3b95362ba38adb395428818381219d5e37f4989423

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:18:57.420574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:50.222521Z digest=sha256:3aed32bab9c96be05beb5f49a49c61431a384fc90f3785a9b6713bebfbbef7f7

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:18:57.270848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:50.289821Z digest=sha256:70825ab4f2c11748dd34e1d375fc6bb84f030e4651110dc405fde79eb0f4ed98

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:18:57.103557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:50.365443Z digest=sha256:46f5a4638be08a02c1e020c81745c43e2c77f8862b642dfaa5a2d2195894678e

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:18:56.929414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:50.421388Z digest=sha256:8a5116898c3c5b442567c801444df41a4232234cde245e13100b2d394b28ef4e

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:18:56.764259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:50.527713Z digest=sha256:574702e534eda1f8276ca99e1df43e2c8b79954fb65c6f1cd5e759f01a71b917

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:18:56.550828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:50.606414Z digest=sha256:c347fbe740462d99fd62cf8caf4dd5ea6ac9d4087a98112bd477a499434ae335

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:18:56.294510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:50.658865Z digest=sha256:81c5a3e76ec2786d897d5e34b6ae92cb75972616f94c013782e571a3ea0ee177

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
raw_fallback, observed 2026-08-07T15:18:56.045021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:50.749979Z digest=sha256:01482a421ab20ccf3fda98043527b4eb80694d3348a21486ef82c4b2e2272962

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
raw_fallback, observed 2026-08-07T15:18:55.769843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:50.843060Z digest=sha256:3941bba24e93a8164fd67eaa1cb13411f0a3c695fea21673f0c139afd1269804

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
raw_fallback, observed 2026-08-07T15:18:55.604642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:50.966408Z digest=sha256:10b4d116f43b32e77453c6db477232e9ab7f5a4d6c0348aca7e2b45fd4baebde

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
raw_fallback, observed 2026-08-07T15:18:55.351869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:51.052053Z digest=sha256:2ced0fe039040b32321ffc86545b91a8c0fadb1160227f900920a92f3c761fe7

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
verified fuzzy
raw_fallback, observed 2026-08-07T15:18:55.117893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:51.164926Z digest=sha256:f603507a06f6fb3a87307b835fc83b2804fb608d892b7cefc186a27ec166f13b

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
raw_fallback, observed 2026-08-07T15:18:54.851015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:51.239150Z digest=sha256:a4b040da5167fdb5f5acc55c65d8655392ad7349b5b3b9328da3d69e8ff7ca2a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:51.331860Z digest=sha256:b5a382c798bc35823a088bd4f5d9271ed1bf53f770b185941edecab353a98d00

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:51.413624Z digest=sha256:2617408329e0b82322b6ab970e8ac8ca024588d8a0c9c034988155022964e990

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:51.517994Z digest=sha256:f8986499cd4c51df4afee31640d91011740752f15dd9e8fd5cfda3b509af25a1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:51.633683Z digest=sha256:ffb7bdc8afa597072b6da701a1e4423ed4e0ec03fafbc25bcdd1d435fc3f8c78

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
no resolver link, observed 2026-08-07T15:18:51.687157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:18:51.687157Z digest=sha256:1c4e1dbfa40b0023d02cfba07a3cb1104dbe663a866c52ee68b2896c80e8c71e

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
no resolver link, observed 2026-08-07T15:18:51.835109Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:18:51.835109Z digest=sha256:72008b964f0c76126297a0ba297056971f0f3098ef905a668922eb8232097bb3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:51.952817Z digest=sha256:942a01f4765b55492e560a750fcb981c2ebefeaa3ab293b3b80a594f9b2f85ea

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.

source=pdf_text observed=2026-08-07T15:18:52.033327Z digest=sha256:ad4b4ea3ede59820e59a5c472909a6f515dce2f0faedd366b5b7fbfe22178f31

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:52.158089Z digest=sha256:8feb2bf4d8799a5811fd0db90f0bd55f6a399687336e3afa3dbb67c5e2b1823c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T15:18:52.308530Z digest=sha256:560af6847d6ea96659e82c175935169dc4322ebc39fd9ad82bd8e19312275760

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.

source=pdf_text observed=2026-08-07T15:18:52.415210Z digest=sha256:3bd488a4de853f94dff083ae69a1b6a346dbb2511dad276a74cc1cd42e524fe0

Pith citing papers

No inbound Pith citation observations are available.