Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:16:40.344010Z
Paper Citation Record · LEDGER
Probabilistic Models with Deep Neural Networks
As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:1908.03442.
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 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T10:24:55.639623Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-14T10:24:55.754174Z
Reference resolution
27 of 27 outbound references displayed
- verified exact0
- verified fuzzy9
- unresolved18
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 82b5592b-52ca-4c0d-9d62-b5f9be533ec2 · outbound
This paper cites an unresolved cited work.
Probabilistic Models with Deep Neural Networks Unresolved cited work
Reference 4
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:16:40.725538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6735c684-975d-4969-928c-0b64c9c992e4 · outbound
This paper cites an unresolved cited work.
Probabilistic Models with Deep Neural Networks Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:16:40.711308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 24b7f99e-e822-4fcf-b844-513a86556bd3 · outbound
This paper cites an unresolved cited work.
Probabilistic Models with Deep Neural Networks Unresolved cited work
Reference 8
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:16:40.672129Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6112279b-7e34-4d5e-a178-b9fdf32efca3 · outbound
This paper cites an unresolved cited work.
Probabilistic Models with Deep Neural Networks Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:16:40.576483Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c73cd808-ec02-4269-acc6-e4f1c8d2d380 · outbound
This paper cites an unresolved cited work.
Probabilistic Models with Deep Neural Networks Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:16:40.561422Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7e4b2d78-6b7b-4616-921d-833655cfce14 · outbound
This paper cites an unresolved cited work.
Probabilistic Models with Deep Neural Networks Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:16:40.548026Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b8af5885-3498-41d2-8a9b-6a1d2a1c0f7c · outbound
This paper cites an unresolved cited work.
Probabilistic Models with Deep Neural Networks Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:16:40.507650Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation afba2fe6-3b5b-46e4-9f20-4909e25c43f4 · outbound
This paper cites Learning deep generative models.
Probabilistic Models with Deep Neural Networks Learning deep generative models
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:16:40.493830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7ee61d68-ebd1-47ed-92a9-9db5d6b287f9 · outbound
This paper cites an unresolved cited work.
Probabilistic Models with Deep Neural Networks Unresolved cited work
Reference 22
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:16:40.479050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 342bc55e-5b78-4ebf-80d5-f9624527b3dd · outbound
This paper cites an unresolved cited work.
Probabilistic Models with Deep Neural Networks Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:16:40.465031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2596951a-5377-4e51-ad97-b4f74b78b3ae · outbound
This paper cites an unresolved cited work.
Probabilistic Models with Deep Neural Networks Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:16:40.452098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8adcc03d-5588-45a3-a3b4-aa2425c4d815 · outbound
This paper cites an unresolved cited work.
Probabilistic Models with Deep Neural Networks Unresolved cited work
Reference 26
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:16:40.424688Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b60cdbc8-2ce5-4360-b15d-bc18ae275eb6 · outbound
This paper cites an unresolved cited work.
Probabilistic Models with Deep Neural Networks Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:16:40.410028Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6825f653-3cc1-44dc-b08f-84cebe676143 · outbound
This paper cites A survey of manifold learning for images.
Probabilistic Models with Deep Neural Networks A survey of manifold learning for images
Reference 1988
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:16:40.534243Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fee87690-7f8e-451b-9265-535c8767c259 · outbound
This paper cites Deep belief networks.
Probabilistic Models with Deep Neural Networks Deep belief networks
Reference 2001
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:16:40.656612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0a6905f2-ba52-41bb-b621-581a223efbe0 · outbound
This paper cites Inference of population structure using multi- locus genotype data.
Probabilistic Models with Deep Neural Networks Inference of population structure using multi- locus genotype data
Reference 2003
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:16:40.521772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 531b4205-aadb-4efc-ac2c-8bb50cd4bd53 · outbound
This paper cites Build, compute, critique, repeat: Data analysis with latent variable models.
Probabilistic Models with Deep Neural Networks Build, compute, critique, repeat: Data analysis with latent variable models
Reference 2006
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:16:40.737295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 699de335-64af-49cc-8a45-b4334d0b46d5 · outbound
This paper cites Variational deep embedding: An unsuper- vised and generative approach to clustering.
Probabilistic Models with Deep Neural Networks Variational deep embedding: An unsuper- vised and generative approach to clustering
Reference 2007
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:16:40.624540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 534dcec0-d639-4334-824d-7251b481f20e · outbound
This paper cites Automatic differentiation variational inference.
Probabilistic Models with Deep Neural Networks Automatic differentiation variational inference
Reference 2009
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:16:40.591832Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 19d5c8ad-f3a8-4476-b45d-02ca7cb8342a · outbound
This paper cites Pyro: Deep Universal Probabilistic Programming.
Probabilistic Models with Deep Neural Networks Pyro: Deep Universal Probabilistic Programming
Reference 2010
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:16:40.208767Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc227e8c-4664-4a3e-94f7-19c881f564a2 · outbound
This paper cites an unresolved cited work.
Probabilistic Models with Deep Neural Networks Unresolved cited work
Reference 2012
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:16:40.641502Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 94016aad-bb88-4dd5-ba77-506da611a0a5 · outbound
This paper cites Likelihood ratio gradient estimation for stochastic systems.
Probabilistic Models with Deep Neural Networks Likelihood ratio gradient estimation for stochastic systems
Reference 2013
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:16:40.684539Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 02e44089-42ca-4737-a29b-6c09a25c8d53 · outbound
This paper cites an unresolved cited work.
Probabilistic Models with Deep Neural Networks Unresolved cited work
Reference 2014
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:16:40.697913Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 05109eb7-8051-497d-9f64-81d7e4017bc7 · outbound
This paper cites Amari SI.
Reference 2015
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:16:40.751207Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b762f5b5-f731-4dd5-b5b5-470eaa25b273 · outbound
This paper cites an unresolved cited work.
Probabilistic Models with Deep Neural Networks Unresolved cited work
Reference 2016
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:16:40.607035Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b6fb777a-6636-4729-af72-d01d8d393f85 · outbound
This paper cites The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables.
Probabilistic Models with Deep Neural Networks The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:16:40.289762Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4c5f46f0-e13a-4f44-9fad-e25ac6ca9c5e · outbound
This paper cites an unresolved cited work.
Probabilistic Models with Deep Neural Networks Unresolved cited work
Reference 2018
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T14:16:40.438031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
Observation dc603b99-8671-43a2-a085-d719052973bf · inbound
InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy cites this paper.
InferPy: Probabilistic Modeling with Deep Neural Networks Made Easy Probabilistic Models with Deep Neural Networks
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T10:24:55.761418Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.