Paper Citation Record · LEDGER

Watt For What: Rethinking Deep Learning's Energy-Performance Relationship

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2310.06522.

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

pith.paper-citation-record.v1
2310.06522 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:36:09.092529Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T10:06:03.417152Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1c5b9a41-e532-4363-a575-dd76a969cad6 · inbound

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation cites this paper.

The Hidden Cost of an Image: Quantifying the Energy Consumption of AI Image Generation Watt For What: Rethinking Deep Learning's Energy-Performance Relationship

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:36:09.092529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 53c0b531-320d-487b-8cce-80ff77a01104 · inbound

SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Version cites this paper.

SLM-Bench: A Comprehensive Benchmark of Small Language Models on Environmental Impacts--Extended Version Watt For What: Rethinking Deep Learning's Energy-Performance Relationship

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T17:57:16.276535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98a75840-7fe3-427c-8631-33f7c6c1c3c8 · inbound

Performance is not All You Need: Sustainability Considerations for Algorithms cites this paper.

Performance is not All You Need: Sustainability Considerations for Algorithms Watt For What: Rethinking Deep Learning's Energy-Performance Relationship

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T17:03:26.077577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11c98073-db02-45e5-82ef-908373daed3c · inbound

Adaptive Data Dropout: Towards Self-Regulated Learning in Deep Neural Networks cites this paper.

Adaptive Data Dropout: Towards Self-Regulated Learning in Deep Neural Networks Watt For What: Rethinking Deep Learning's Energy-Performance Relationship

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:06:03.420523Z

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.