Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.18470.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:58:38.046303Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
11
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation fee70fe5-2ac7-4a87-a656-0c119e026cf3 · inbound
Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation cites this paper.
Neuro-Symbolic Generative Diffusion Models for Physically Grounded, Robust, and Safe Generation Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:58:38.046303Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b1aa0bd0-f0b0-4936-8246-c410e6deeea4 · inbound
GLUE: Coordinating Pre-Trained Generative Models for System-Level Design cites this paper.
GLUE: Coordinating Pre-Trained Generative Models for System-Level Design Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T20:28:23.626100Z
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.
Observation e30f1f27-5a16-4ddc-8523-64d62427a3ac · inbound
Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing cites this paper.
Global Convergence of Sampling-Based Nonconvex Optimization through Diffusion-Style Smoothing Aligning Optimization Trajectories with Diffusion Models for Constrained Design Generation
Reference 82
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T20:18:59.459411Z
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.