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Paper Citation Record · LEDGER

Accuracy is not the only Metric that matters: Estimating the Energy Consumption of Deep Learning Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.00897.

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

pith.paper-citation-record.v1
2304.00897 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:40:48.899984Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T06:15:00.866473Z

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 60d5106b-aec5-4277-a8df-1517c87c766a · inbound

The cost of ensembling: is it always worth combining? cites this paper.

The cost of ensembling: is it always worth combining? Accuracy is not the only Metric that matters: Estimating the Energy Consumption of Deep Learning Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:40:48.899984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:40:48.899984Z digest=sha256:4a8099889c2ed22090df1ac88381da871f43af59354a4180dd1c2bac01121826

Observation a93c0aaf-b96c-435b-86f4-939c5a0321f3 · inbound

WattLayer: Get Layers Right to Estimate Inference Energy of Neural Networks cites this paper.

WattLayer: Get Layers Right to Estimate Inference Energy of Neural Networks Accuracy is not the only Metric that matters: Estimating the Energy Consumption of Deep Learning Models

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-29T04:53:06.177060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T04:48:13.407065Z digest=sha256:14b369ecda6976c5c622f53d4d355580cdb143796fda15ac404e8cb7866d1844