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Paper Citation Record · LEDGER

Detecting Generated Images by Real Images Only

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2311.00962.

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

pith.paper-citation-record.v1
2311.00962 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 2026-08-21T06:32:19.484+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T07:59:44.436264Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T08:03:14.089932Z

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 7c1dabe7-31ed-46ea-b8f8-889369af4755 · inbound

From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection cites this paper.

From Evidence to Verdict: An Agent-Based Forensic Framework for AI-Generated Image Detection Detecting Generated Images by Real Images Only

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-18T02:05:38.889733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T02:04:49.742067Z digest=sha256:b61a658920fef8c2355d0a10d75665ddf68656207ef194e2e7b689042750a060

Observation cdc9bc99-d936-4f5f-8923-b7c2fdbd6352 · 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 Detecting Generated Images by Real Images Only

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:21:00.886009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T15:01:21.206132Z digest=sha256:3b6c5c9d6478cac43f60f25761ccc821bfac2d28e8bfb65944c3441fb8dae791

Observation 409a21c3-c01c-4f20-9899-9b508984e1b1 · inbound

UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection cites this paper.

UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection Detecting Generated Images by Real Images Only

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:44:15.251393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-09T22:21:10.133655Z digest=sha256:549f6d4a709b78fae0f636cea45087bd50943b46d6d2192fead9327faab372de

Observation 254a7253-5384-4838-b7a4-7b86e47f80a3 · inbound

FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection cites this paper.

FakeVLM-R1: Internalizing Physical Laws via CoT for Synthetic Image Detection Detecting Generated Images by Real Images Only

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:03:14.091558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-29T07:59:44.436264Z digest=sha256:756f5cca80bba1e126dc61341a550c0a32255e372e7bab18be0e454f0fb8f5d2

Observation fe66fc34-4e28-4155-8383-7495793f329d · inbound

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

The Regularizing Power of Language-Training Deepfake Detectors Detecting Generated Images by Real Images Only

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T23:22:46.840962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T23:19:55.111556Z digest=sha256:1aa848acc48b8476f78dce7c831d44505218af086455d91e660b16cc1a993f35