Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2010.00114.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T11:42:26.227009Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T23:16:21.721760Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation f5a5c6ac-7c6f-49af-89fe-b8bfcc9d149e · inbound
Uni-Renderer: Unifying Rendering and Inverse Rendering Via Dual Stream Diffusion MaterialGAN: Reflectance Capture using a Generative SVBRDF Model
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 740bf867-4a40-4ce0-a9f8-5c0b2b25f9ee · inbound
VLMaterial: Procedural Material Generation with Large Vision-Language Models MaterialGAN: Reflectance Capture using a Generative SVBRDF Model
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ccb573b9-a98d-4364-9d0e-67322a49086e · inbound
DualMat: PBR Material Estimation via Coherent Dual-Path Diffusion MaterialGAN: Reflectance Capture using a Generative SVBRDF Model
Reference 2020
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea3cb777-ff0e-4444-9582-fda29be88731 · inbound
FMMC: Harnessing the Power of Foundation Models for Accurate Material Classification MaterialGAN: Reflectance Capture using a Generative SVBRDF Model
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d47c0b02-d8b9-42bc-9b22-739e037ab388 · inbound
Neural Enhancement of Analytical Appearance Models MaterialGAN: Reflectance Capture using a Generative SVBRDF Model
Reference 66
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.