Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Inferring the Isotropic-nematic Phase Transition with Generative Machine Learning
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.21034.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:23:14.261961Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-16T16:41:06.297402Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 101a0ab8-ae40-433e-9878-794d51b453e7 · inbound
Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data cites this paper.
Latent Thermodynamic Flows: Unified Representation Learning and Generative Modeling of Temperature-Dependent Behaviors from Limited Data Inferring the Isotropic-nematic Phase Transition with Generative Machine Learning
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:23:14.261961Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9dfc11b9-3379-40ba-b9ee-ffb8989326e3 · inbound
Listen to Rhythm, Choose Movements: Autoregressive Multimodal Dance Generation via Diffusion and Mamba with Decoupled Dance Dataset cites this paper.
Listen to Rhythm, Choose Movements: Autoregressive Multimodal Dance Generation via Diffusion and Mamba with Decoupled Dance Dataset Inferring the Isotropic-nematic Phase Transition with Generative Machine Learning
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T16:41:06.299109Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.