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Paper Citation Record · LEDGER

Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2105.14376.

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

pith.paper-citation-record.v1
2105.14376 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T14:57:46.827556Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:22:46.772634Z

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 6f722510-0b7c-490e-881a-c6645bae85b9 · inbound

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach cites this paper.

Facial Features Matter: a Dynamic Watermark based Proactive Deepfake Detection Approach Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-12T14:57:46.827556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T14:57:46.827556Z digest=sha256:4d4bc6660d16919795b6134fde6031500fbb811a606bb7f5e703b25571f02486

Observation a227ab89-2bbf-4371-a435-b3eb25c40f54 · inbound

Knowledge-Guided Prompt Learning for Deepfake Facial Image Detection cites this paper.

Knowledge-Guided Prompt Learning for Deepfake Facial Image Detection Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T22:49:15.839992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:49:15.839992Z digest=sha256:716d841ffa6b7bd48d30471ea3e9b5563126bddda26287e40a19b3ef31e95bae

Observation e7dccb3b-456a-40b6-9f7c-857b461a444a · inbound

Practical Manipulation Model for Robust Deepfake Detection cites this paper.

Practical Manipulation Model for Robust Deepfake Detection Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T10:31:25.658604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:31:25.658604Z digest=sha256:de38a01cbdeeb577f9f5f6de17e4f1e6cc51a3ffc77a426642909eab47f4838f

Observation b57858f3-e943-420f-81ba-c95be44327fe · inbound

Beyond Semantics: Uncovering the Physics of Fakes via Universal Physical Descriptors for Cross-Modal Synthetic Detection cites this paper.

Beyond Semantics: Uncovering the Physics of Fakes via Universal Physical Descriptors for Cross-Modal Synthetic Detection Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-10T23:45:53.285880Z

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=2026-05-10T18:52:34.752473Z digest=sha256:7eb9199e0c45efd9e743f6ae9cc5829284ff31d7092c1201c6eb5c36cb54864d

Observation 5e9fa5d4-323b-45d9-93ab-1723ab3942a8 · inbound

The Regularizing Power of Language-Training Deepfake Detectors cites this paper.

The Regularizing Power of Language-Training Deepfake Detectors Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:22:46.774480Z

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=2026-06-28T23:19:55.111556Z digest=sha256:66f5cec87b0bdf1a8a90f4bc46e632035833652d9a91b594383521de5648e8b9