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Paper Citation Record · LEDGER

Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.17138.

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

pith.paper-citation-record.v1
2311.17138 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:37:02.197996Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T21:29:51.144412Z

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 58ed338f-0869-45d1-8358-fe2919ca01ba · inbound

CAT3D: Create Anything in 3D with Multi-View Diffusion Models cites this paper.

CAT3D: Create Anything in 3D with Multi-View Diffusion Models Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:29:51.146341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-19T21:29:51.062396Z digest=sha256:6a8dd83175665c05a37c6dcc14b48dcaab8dbdae8c795804984a9578aff6c044

Observation f8977232-9c3c-41f7-8787-138a5a9ecb59 · inbound

Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios cites this paper.

Bridging the Gap Between Ideal and Real-world Evaluation: Benchmarking AI-Generated Image Detection in Challenging Scenarios Shadows Don't Lie and Lines Can't Bend! Generative Models don't know Projective Geometry...for now

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-04T19:37:02.197996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:37:02.197996Z digest=sha256:63e6a21f2ac08c91c4e4c77d1242e06d8912f72f0337159e882618debfbdba46