Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Deep Gaussian Mixture Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1711.06929.
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, observed 2026-08-08T18:17:14.775660Z
A source-named dated measurement, never combined with another source.
Source: pith, 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
2
pith, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation eb681c8a-73da-43c8-a12a-a46eb5c6e190 · inbound
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design cites this paper.
Improving Environment Novelty Quantification for Effective Unsupervised Environment Design Deep Gaussian Mixture Models
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:17:14.775660Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50e5fbb8-4779-47bb-8726-04a4174bdd30 · inbound
IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections cites this paper.
IntTrajSim: Trajectory Prediction for Simulating Multi-Vehicle driving at Signalized Intersections Deep Gaussian Mixture Models
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:03:00.011127Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 642f808f-4ed5-4086-a28a-694c80d6d378 · inbound
SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning cites this paper.
SHeRL-FL: When Representation Learning Meets Split Learning in Hierarchical Federated Learning Deep Gaussian Mixture Models
Reference 148
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:03:09.876233Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83961629-be43-41ae-ae5c-5398f5dcc914 · inbound
CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters cites this paper.
CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters Deep Gaussian Mixture Models
Reference 85
- Resolution
- verified exact
- local_arxiv, observed 2026-06-28T07:41:44.813694Z
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 1d562b6f-640e-4c6e-9d94-5926e60e32ee · inbound
CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters cites this paper.
CaloTrilogy: Toward a Breakthrough in One-Step, End-to-End, Physics-Guided Shower Generation for Modern Calorimeters Deep Gaussian Mixture Models
Reference 85
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T12:30:44.173564Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.