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Paper Citation Record · LEDGER

How to estimate carbon footprint when training deep learning models? A guide and review

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2306.08323.

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

pith.paper-citation-record.v1
2306.08323 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 1 of 1 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:18:51.952817Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T15:18:52.533445Z

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 a9a9c26e-cc86-4aaa-ac23-8fa133c307a9 · inbound

Guidelines for the Quality Assessment of Energy-Aware NAS Benchmarks cites this paper.

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=sha256:7f828ba33d406429b2e1027f5c54ab00aca489d5f829a1c1665886fd24ee3eef