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Paper Citation Record · LEDGER

Energy Consumption of Deep Generative Audio Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.02621.

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

pith.paper-citation-record.v1
2107.02621 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:10:13.382408Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T22:16:10.069156Z

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 46bbd156-29c9-47d1-95b6-f4802c403513 · inbound

Diffused Responsibility: Analyzing the Energy Consumption of Generative Text-to-Audio Diffusion Models cites this paper.

Diffused Responsibility: Analyzing the Energy Consumption of Generative Text-to-Audio Diffusion Models Energy Consumption of Deep Generative Audio Models

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-08-15T22:16:10.073471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-15T22:16:09.567274Z digest=sha256:0b2ca4bfa0cd119a75dd4eab4709a5e39521f94a8e3de0b136540aab6d591b40

Observation a6901b57-6e17-4f97-9b13-a1dbc5319316 · inbound

Detecting Musical Deepfakes cites this paper.

Detecting Musical Deepfakes Energy Consumption of Deep Generative Audio Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T04:10:13.382408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:10:13.382408Z digest=sha256:cf95b78960dd5d1eafad74bdd4831187af577ab0ffe10aaa441a77fde2aa952a