Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-08T21:38:43.945071Z
Paper Citation Record · LEDGER
Autoregressive Generation of Static and Growing Trees
As of 9 August 2026, this Paper Citation Record lists 3 of 3 outbound references and 0 inbound Pith citation observations for arXiv:2502.04762.
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 2026-08-09T06:31:02.800959+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
Reference resolution
3 of 3 outbound references displayed
- verified exact0
- verified fuzzy1
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 8efe0ad4-f3fb-42d7-beb6-4dda41054dbd · outbound
This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.
Autoregressive Generation of Static and Growing Trees Score-Based Generative Modeling through Stochastic Differential Equations
Reference 2020
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T21:38:43.941085Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95d5ac9a-8350-4c71-9980-0c5326b2c19f · outbound
This paper cites In NeurIPS.
Autoregressive Generation of Static and Growing Trees In NeurIPS
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-08T21:38:43.994449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation b78679e6-d176-4991-aef6-330030f6d9f5 · outbound
This paper cites LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion.
Autoregressive Generation of Static and Growing Trees LaGeM: A Large Geometry Model for 3D Representation Learning and Diffusion
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T21:38:43.945071Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.