Paper Citation Record · LEDGER

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices

As of 19 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2501.14995.

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

pith.paper-citation-record.v1
2501.14995 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:47:46.968755Z

measured 17 of 17 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

17 of 17 outbound references displayed

verified exact1
verified fuzzy13
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9cfe247d-b69e-4c25-8b27-ded34dd048c0 · outbound

This paper cites Sustain- able AI: Environmental implications, challenges and opportunities.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices Sustain- able AI: Environmental implications, challenges and opportunities

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:47:47.186346Z

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.

Observation c6269188-ebbc-4534-a656-41384031bf1e · outbound

This paper cites DeepEn2023: Energy Datasets for Edge Artificial Intelligence.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices DeepEn2023: Energy Datasets for Edge Artificial Intelligence

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-10T14:47:47.027382Z

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.

Observation 6f3eeb0f-71d4-4028-b897-88be6bdadb6a · outbound

This paper cites Sustainable AI: AI for sustainability and the sustain- ability of AI.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices Sustainable AI: AI for sustainability and the sustain- ability of AI

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:47:47.176281Z

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.

Observation 253aab8d-9494-4581-b486-31332b9c8ecc · outbound

This paper cites The role of artificial intelligence in achiev- ing the sustainable development goals.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices The role of artificial intelligence in achiev- ing the sustainable development goals

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:47:47.165408Z

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.

Observation 1580abc5-99d3-49e1-9805-9c4f5a8e116b · outbound

This paper cites https://www.eia.gov/energyexplained/ energy-and-the-environment/where-greenhouse-gases-come-from.php?utm_ source=chatgpt.com.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices https://www.eia.gov/energyexplained/ energy-and-the-environment/where-greenhouse-gases-come-from.php?utm_ source=chatgpt.com

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:47:47.153860Z

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.

Observation 7f788167-bfff-4c72-a8b6-7647fb696f9b · outbound

This paper cites https://iot-analytics.com/number-connected-iot-devices/.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices https://iot-analytics.com/number-connected-iot-devices/

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:47:47.141864Z

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.

Observation 61fd0c68-85a9-47be-bcc4-00329cf52c83 · outbound

This paper cites Energy drain of the object detection processing pipeline for mobile devices: Analysis and implications.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices Energy drain of the object detection processing pipeline for mobile devices: Analysis and implications

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:47:47.128706Z

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.

Observation d57f4924-6a4c-413e-94c8-b7d444995aac · outbound

This paper cites LEAF+AIO: Edge-assisted energy-aware object detection for mobile augmented reality.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices LEAF+AIO: Edge-assisted energy-aware object detection for mobile augmented reality

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:47:47.117874Z

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.

Observation 8feed622-494f-485c-b356-49423fdd92f9 · outbound

This paper cites NAS-Bench-201: Extending the scope of reproducible neural architecture search.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices NAS-Bench-201: Extending the scope of reproducible neural architecture search

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:47:47.107359Z

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.

Observation 52b1c220-65e0-4634-8ee1-dfe3235d6717 · outbound

This paper cites Unveiling energy efficiency in deep learning: Measurement, prediction, and scoring across edge devices.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices Unveiling energy efficiency in deep learning: Measurement, prediction, and scoring across edge devices

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:47:47.096101Z

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.

Observation d3b7f26a-20b6-4493-a085-f6436ab6740c · outbound

This paper cites Neural architecture search without training.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices Neural architecture search without training

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:47:47.085467Z

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.

Observation d2f16b06-c1d1-45ed-b011-a5d017319b5d · outbound

This paper cites Learning multiple layers of features from tiny images.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices Learning multiple layers of features from tiny images

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T14:47:46.951423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af85cf67-aeb0-4453-b97a-8e0d4b2d4795 · outbound

This paper cites https://ai.google.dev/edge/litert/models/measurement.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices https://ai.google.dev/edge/litert/models/measurement

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:47:47.064754Z

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.

Observation 2278e7de-7994-43f0-a491-679d62129437 · outbound

This paper cites https://www.msoon.com/high-voltage-power-monitor.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices https://www.msoon.com/high-voltage-power-monitor

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:47:47.051918Z

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.

Observation 2387d742-cb34-49fb-baab-98fbb8241cf4 · outbound

This paper cites Regularized evolution for image classifier architecture search.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices Regularized evolution for image classifier architecture search

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T14:47:47.039993Z

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.

Observation 56e829b1-cc23-4f2d-8ebd-7d625f0942b9 · outbound

This paper cites Transformer models: an introduction and catalog.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices Transformer models: an introduction and catalog

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-10T14:47:46.964971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aebd9af-11eb-4825-9af1-ed587d8130b0 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

GreenAuto: An Automated Platform for Sustainable AI Model Design on Edge Devices LLaMA: Open and Efficient Foundation Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T14:47:46.968755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.