Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T03:42:05.430886Z
Paper Citation Record · LEDGER
As of 4 August 2026, this Paper Citation Record lists 8 of 8 outbound references and 0 inbound Pith citation observations for arXiv:2602.07429.
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, observed 2026-08-03T03:42:05.430886Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
8 of 8 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation b02c1b84-df3f-4a43-a2e8-c39738e53e6e · outbound
Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers Unresolved cited work
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcde9214-8dae-45ea-903d-e51ffc1a9b65 · outbound
Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers Sampling Density TMCAD Pre-train Loss m= 1 0.8125 1.97 m= 3 0.8212 3.226 m= 5 0.8247 3.793 B.3
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15c72ee0-555a-419e-b48a-f8cb9b423371 · outbound
Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers In this space, NURBS operations degenerate into standard B-Spline operations, greatly simplifying algorithmic processing
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fac84bbc-2339-465a-8389-d912a36d3179 · outbound
Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers Practical ImplementationIn practical implementations, employing a fixed parametric step size h as the refinement criterion presents significant limitations
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ab8cae8-ae90-4f84-a803-3f71b42258fb · outbound
Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers Unresolved cited work
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c1972e10-5518-410d-b01d-3587dbc94738 · outbound
Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers Specifically, for each internal knot uk with multiplicity s, if s < p, we insert uk for (p−s) times until its multiplicity reaches p
Reference 1980
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64f21cdd-2499-4ad0-aecf-62c8f7b2d042 · outbound
Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers DINOv3
Reference 2021
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c072d6fe-62f5-4f77-816b-f6d0832475f0 · outbound
Brep2Shape: Boundary and Shape Representation Alignment via Self-Supervised Transformers Scaling Laws for Neural Language Models
Reference 2023
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.