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Paper Citation Record · LEDGER

Detecting Human Artifacts from Text-to-Image Models

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2411.13842.

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

pith.paper-citation-record.v1
2411.13842 v2

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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T20:09:21.328170Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:18:03.426147Z

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 9251db26-5f69-485c-93b2-5001711ac351 · inbound

GeneVA: A Dataset of Human Annotations for Generative Text to Video Artifacts cites this paper.

GeneVA: A Dataset of Human Annotations for Generative Text to Video Artifacts Detecting Human Artifacts from Text-to-Image Models

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-04T20:09:21.328170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T20:09:21.328170Z digest=sha256:7330b0c24e56dad9dcfa826c54975d36f7c2eed705831e8ac14e5e60bdabb0fd

Observation f9c8e51d-6cb1-4696-b214-ea90b9ed4141 · inbound

HumanScore: Benchmarking Human Motions in Generated Videos cites this paper.

HumanScore: Benchmarking Human Motions in Generated Videos Detecting Human Artifacts from Text-to-Image Models

Reference 69

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T13:41:04.519757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T01:17:16.513512Z digest=sha256:0765489a2c09c1533d10570bb1e14a9448064242fe579f1e9005348a8225e216

Observation 446f64fc-ce31-42e0-9007-e51739ce6bd2 · inbound

Micro-Defects Expose Macro-Fakes: Detecting AI-Generated Images via Local Distributional Shifts cites this paper.

Micro-Defects Expose Macro-Fakes: Detecting AI-Generated Images via Local Distributional Shifts Detecting Human Artifacts from Text-to-Image Models

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:11:25.004257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T04:30:55.547341Z digest=sha256:f744505df7d68f45f31b9d8be77d3f6c0fc7bfa5003662996f939cb04bdd9364

Observation 9ab5f450-8392-489b-bb60-1b30dcbc99c8 · inbound

SalArt-VQA: Diagnosing Whether VLMs Understand Salient Artifacts in Generated Images cites this paper.

SalArt-VQA: Diagnosing Whether VLMs Understand Salient Artifacts in Generated Images Detecting Human Artifacts from Text-to-Image Models

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T11:18:03.427904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T09:39:11.685828Z digest=sha256:d1f8b5dc96f33bc51027baf184c2b9696cd84b5021b6ab0225024d27e2cad71d

Observation 29d6d1eb-946a-4d9f-8a40-d1556a92c4ee · inbound

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis cites this paper.

Unified Backbone Refinement for Diffusion Models via Internal-Latent Analysis Detecting Human Artifacts from Text-to-Image Models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-07-14T16:28:17.428855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T16:28:17.428855Z digest=sha256:e522d508d00cc1e14ac1cf26494653efd63871c402b53fa59914c08067ed4821