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Paper Citation Record · LEDGER

Deep-Learning-based Frequency-Domain Watermarking for Energy System Time Series Data Asset Protection

As of 11 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2511.07802.

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

pith.paper-citation-record.v1
2511.07802 v2

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T23:03:14.060642Z

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

4 of 4 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved3
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b026185a-9630-4083-b545-40df76c76f67 · outbound

This paper cites Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data,.

Deep-Learning-based Frequency-Domain Watermarking for Energy System Time Series Data Asset Protection Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T23:03:13.830826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:03:13.830826Z digest=sha256:fb229140a335906a5f97ac2ec2d0e031e8241df6b2a029cc1539e7d0461fe879

Observation 5cc44518-4621-43a0-8095-0ccbea175733 · outbound

This paper cites A Brief, In - Depth Survey of Deep Learning - Based Image Watermarking,.

Deep-Learning-based Frequency-Domain Watermarking for Energy System Time Series Data Asset Protection A Brief, In - Depth Survey of Deep Learning - Based Image Watermarking,

Reference 497

Resolution
unresolved
no resolver link, observed 2026-08-03T23:03:13.894884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:03:13.894884Z digest=sha256:e393d715c53bfc810ba81ddab0aa9af7cfb667c2108d800d2cb04bf65489d50a

Observation 85548cda-0d0e-4102-9447-dbb1d510e7c4 · outbound

This paper cites StegaStamp: Invisible Hyperlinks in Physical Photographs,.

Deep-Learning-based Frequency-Domain Watermarking for Energy System Time Series Data Asset Protection StegaStamp: Invisible Hyperlinks in Physical Photographs,

Reference 697

Resolution
malformed identifier
no resolver link, observed 2026-08-03T23:03:13.779934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:03:13.779934Z digest=sha256:24dd8c8211535a689751879df501256ef7ec9279e385d9ae6fe9ad070e190d39

Observation f983a40b-4eea-49aa-9704-2526dd7c65bc · outbound

This paper cites Frequency Bias in Neural Networks for Input of Non - Uniform Density,.

Deep-Learning-based Frequency-Domain Watermarking for Energy System Time Series Data Asset Protection Frequency Bias in Neural Networks for Input of Non - Uniform Density,

Reference 2410

Resolution
unresolved
no resolver link, observed 2026-08-03T23:03:14.060642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:03:14.060642Z digest=sha256:ed2e16f5eecfa0d5ad9a4ab5600596e15a39b725dde3b4dc3e6849a286554ec8

Pith citing papers

No inbound Pith citation observations are available.