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Paper Citation Record · LEDGER

A Bias-Free Training Paradigm for More General AI-generated Image Detection

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.17671.

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

pith.paper-citation-record.v1
2412.17671 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T04:21:37.892889Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:21:00.848903Z

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 f11f4e79-cba8-4b88-b417-90bf20530acd · inbound

Combating Pattern and Content Bias: Adversarial Feature Learning for Generalized AI-Generated Image Detection cites this paper.

Combating Pattern and Content Bias: Adversarial Feature Learning for Generalized AI-Generated Image Detection A Bias-Free Training Paradigm for More General AI-generated Image Detection

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:21:00.856211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:01:21.206132Z digest=sha256:4bfb0284dd30a124f5c438eb39bea7b0ba6c7f1bbc84c13f4df5de5cf80400a8

Observation 778cf27f-896c-4433-81a3-fbf938295abf · inbound

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System cites this paper.

Continuously Evolving Deepfake Detection: An Architecture and Public-Benchmark Evaluation of a Dynamic Detection System A Bias-Free Training Paradigm for More General AI-generated Image Detection

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-02T05:51:35.397247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T05:51:35.397247Z digest=sha256:02e84f1588985488c7415768459af810042b2bd414aef78c60061645255362a3

Observation 704480b3-8f78-40bd-8cae-35cd2afdbc81 · inbound

V-FIND: Revealing the Intrinsic Forgery Knowledge Encoded in Video Forgery Detectors cites this paper.

V-FIND: Revealing the Intrinsic Forgery Knowledge Encoded in Video Forgery Detectors A Bias-Free Training Paradigm for More General AI-generated Image Detection

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-08T04:21:37.892889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T04:21:37.892889Z digest=sha256:bd8dc5a172d7664a896df201bccac261e267fad4d64aed9463f6e05527db345d