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Paper Citation Record · LEDGER

"Energon": Unveiling Transformers from GPU Power and Thermal Side-Channels

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2508.01768.

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

pith.paper-citation-record.v1
2508.01768 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T22:00:06.085598Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T06:30:59.706357Z

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 e44b6977-df00-4e55-b275-f6edca06f1fe · inbound

PRISM: Probabilistic Runtime Insights and Scalable Performance Modeling for Large-Scale Distributed Training cites this paper.

PRISM: Probabilistic Runtime Insights and Scalable Performance Modeling for Large-Scale Distributed Training "Energon": Unveiling Transformers from GPU Power and Thermal Side-Channels

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:30:59.708340Z

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=2026-05-18T06:27:40.254366Z digest=sha256:511f0539b94f2e638ee9d10ff0d88e75ca8a1ea0a19441ea6eb89cf7062bed30

Observation f6fbae45-275b-468c-bb52-a0cce83ae77f · inbound

Securing Deep Learning Hardware: A Survey of Side-Channel Vulnerabilities and Countermeasures cites this paper.

Securing Deep Learning Hardware: A Survey of Side-Channel Vulnerabilities and Countermeasures "Energon": Unveiling Transformers from GPU Power and Thermal Side-Channels

Reference 22

Resolution
malformed identifier
no resolver link, observed 2026-07-11T22:00:06.085598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T22:00:06.085598Z digest=sha256:8f35427634ce555a102307e74abc3cb3f881e811f3488ba2907d7d206c676e88