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Paper Citation Record · LEDGER

Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2208.06102.

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

pith.paper-citation-record.v1
2208.06102 v2

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:01:31.576930Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T04:52:17.203298Z

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 e8827d66-0214-48f4-beed-fa11a71f6f1f · inbound

The Illusion of Power Capping in LLM Decode: A Phase-Aware Energy Characterisation Across Attention Architectures cites this paper.

The Illusion of Power Capping in LLM Decode: A Phase-Aware Energy Characterisation Across Attention Architectures Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T04:52:17.204554Z

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.

source=pdf_text observed=2026-05-13T04:48:46.006687Z digest=sha256:96b50249fbd0920c6d479885299f550112a200b6f1a4a5ada57bb1f787e78a30

Observation 7c9334c4-4d20-4989-94e0-86f8baab13d0 · inbound

Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning cites this paper.

Opti-Q: A Constraint-Based Optimization Framework for Multi-LLM Question Planning Zeus: Understanding and Optimizing GPU Energy Consumption of DNN Training

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-02T11:01:31.576930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:01:31.576930Z digest=sha256:f6a476dbbc388bf8684f1d23e86a71c2c9a5089877c58e82f274bf0efdda1ea2