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Paper Citation Record · LEDGER

Hyper-Realist Rendering: A Theoretical Framework

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2401.12853.

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

pith.paper-citation-record.v1
2401.12853 v1

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 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:10:55.433555Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T05:30:23.456663Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

1
pith, observed 2026-08-10T05:30:23.456663Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 38d698fc-37b0-4e50-9721-fd32723bbb32 · inbound

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection cites this paper.

LightFFDNets: Lightweight Convolutional Neural Networks for Rapid Facial Forgery Detection Hyper-Realist Rendering: A Theoretical Framework

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-12T18:10:55.433555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:10:55.433555Z digest=sha256:db0b600dd92de56ad26fb28e93032e169d6412665724e83a264b4afc0dafa9a8

Observation 67c2a55c-2ac4-48be-9aab-5d265633076e · inbound

Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Survey cites this paper.

Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Survey Hyper-Realist Rendering: A Theoretical Framework

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T04:23:26.783517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:23:26.783517Z digest=sha256:3f5b9470bd2bbaaa274851dd872eee6fb82d08fb9b2c76793843995221f11109

Observation b18eb214-6f57-4069-8897-dbda75f8a83e · inbound

Mul2MAR: A Multi-Marker Mobile Augmented Reality Application for Improved Visual Perception cites this paper.

Mul2MAR: A Multi-Marker Mobile Augmented Reality Application for Improved Visual Perception Hyper-Realist Rendering: A Theoretical Framework

Reference 2

Resolution
metadata mismatch
local_arxiv, observed 2026-08-08T17:19:15.310416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-08T17:19:14.084181Z digest=sha256:bde46bf802c3f63373bdfa1c3a918f48fcf3be98b01a28725b1e98a2bd2a6250