Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T11:10:39.510929Z
Paper Citation Record · LEDGER
A Probabilistic Representation of Deep Learning
As of 20 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:1908.09772.
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 2026-08-20T06:33:59.587034+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
40 of 40 outbound references displayed
- verified exact0
- verified fuzzy22
- unresolved17
- parse uncertain0
- malformed identifier0
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 859053b7-847c-4593-ad51-df25b15a80c5 · outbound
This paper cites Emergence of Invariance and Disentanglement in Deep Representations.
A Probabilistic Representation of Deep Learning Emergence of Invariance and Disentanglement in Deep Representations
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:10:39.344749Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 35f98708-2cc7-4f4c-9acc-3359eb81710b · outbound
This paper cites Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks.
A Probabilistic Representation of Deep Learning Nearly-tight VC-dimension and pseudodimension bounds for piecewise linear neural networks
Reference 2
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-14T11:10:39.632488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c1984f1b-7a2c-40b7-9a18-adb27b453643 · outbound
This paper cites Representation learning: A review and new perspectives.IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(8):1798–1828, 2013.
A Probabilistic Representation of Deep Learning Representation learning: A review and new perspectives.IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(8):1798–1828, 2013
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:10:39.354466Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8c9f55e2-f5c0-4d6e-adb3-9bd70a132c64 · outbound
This paper cites Variational inference: A review for statisticians.Journal of Machine Learning Research, 112:859–877, 2017.
A Probabilistic Representation of Deep Learning Variational inference: A review for statisticians.Journal of Machine Learning Research, 112:859–877, 2017
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:40.067853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation eac33054-4519-440e-a1c0-218c3aa84ba1 · outbound
This paper cites Stability and generalization.Journal of Machine Learning Research, pages 499–526, 2002.
A Probabilistic Representation of Deep Learning Stability and generalization.Journal of Machine Learning Research, pages 499–526, 2002
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:40.053577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 68a94992-c3b5-4592-bd37-383d54001284 · outbound
This paper cites Training stochastic model recognition algorithms as networks can lead to maximum mutual information estimation of parameters.
A Probabilistic Representation of Deep Learning Training stochastic model recognition algorithms as networks can lead to maximum mutual information estimation of parameters
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:40.038398Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c6d71125-3f2b-4756-b1df-7e2f3519e381 · outbound
This paper cites Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks.
A Probabilistic Representation of Deep Learning Stochastic gradient descent performs variational inference, converges to limit cycles for deep networks
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:40.024099Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 05999d27-3d9c-422b-8495-c8b54854c819 · outbound
This paper cites Wiley- Interscience, Hoboken, New Jersy, 2006.
A Probabilistic Representation of Deep Learning Wiley- Interscience, Hoboken, New Jersy, 2006
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:40.009866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6bb7733a-e31c-4470-8748-30fd0040118c · outbound
This paper cites Geman and D.
A Probabilistic Representation of Deep Learning Geman and D
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.994480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 707b26a3-41d1-4901-9bee-47a2206e2457 · outbound
This paper cites A probabilistic approach to the understanding and training of neural network classifiers.
A Probabilistic Representation of Deep Learning A probabilistic approach to the understanding and training of neural network classifiers
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.980349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 27eb6335-7ba0-4cc3-8a8a-279392820025 · outbound
This paper cites MIT Press, 2016.
A Probabilistic Representation of Deep Learning MIT Press, 2016
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:10:39.387962Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8fd9e69c-9398-414f-9e68-22002dbbe6ae · outbound
This paper cites Lawrence.
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.957638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bec56d51-7206-4c5d-bcc4-a35c029dfbe4 · outbound
This paper cites an unresolved cited work.
A Probabilistic Representation of Deep Learning Unresolved cited work
Reference 13
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:10:39.944063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 84f3d0de-1f61-4957-83c6-4fc39e824744 · outbound
This paper cites Hoffman, David M.
A Probabilistic Representation of Deep Learning Hoffman, David M
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.930862Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation edcc564e-b78f-4051-a95b-9d3c42af2300 · outbound
This paper cites an unresolved cited work.
A Probabilistic Representation of Deep Learning Unresolved cited work
Reference 15
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:10:39.917391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 41afecdc-93e3-4c63-8d12-816c0904cdec · outbound
This paper cites an unresolved cited work.
A Probabilistic Representation of Deep Learning Unresolved cited work
Reference 16
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:10:39.905343Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8b0f309f-a079-4649-b2de-dd0d15c09401 · outbound
This paper cites MIT Press, 2006.
A Probabilistic Representation of Deep Learning MIT Press, 2006
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.892366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ddd6d887-9abe-4db2-879b-13db87610388 · outbound
This paper cites A bayesian hierarchical model for learning natural scene categories.
A Probabilistic Representation of Deep Learning A bayesian hierarchical model for learning natural scene categories
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.879089Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8e90bd15-75a8-432c-8a19-87ddd3ea3b71 · outbound
This paper cites an unresolved cited work.
A Probabilistic Representation of Deep Learning Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:10:39.866383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 21511726-3b28-4e2a-b4e2-61b5b926bc26 · outbound
This paper cites An exact mapping between the Variational Renormalization Group and Deep Learning.
A Probabilistic Representation of Deep Learning An exact mapping between the Variational Renormalization Group and Deep Learning
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:10:39.426031Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0729cae-cbb5-4fd7-bd28-7fdc803bd22e · outbound
This paper cites an unresolved cited work.
A Probabilistic Representation of Deep Learning Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:10:39.854057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1d090719-6a6c-47e1-ae52-0311cac12e88 · outbound
This paper cites Deep Learning and the Information Bottleneck Principle.
A Probabilistic Representation of Deep Learning Deep Learning and the Information Bottleneck Principle
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:10:39.434688Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2aa777d5-5511-4f26-9977-b5af132ad8df · outbound
This paper cites Exploring generalization in deep learning.
A Probabilistic Representation of Deep Learning Exploring generalization in deep learning
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.840102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7b4d8889-10fd-4c5e-be0b-9c6ff4c7bf5e · outbound
This paper cites In search of the real inductive bias: On the role of implicit regularization in deep learning.
A Probabilistic Representation of Deep Learning In search of the real inductive bias: On the role of implicit regularization in deep learning
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.827426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6a22792c-37c1-408e-a5ba-9eda90f7164b · outbound
This paper cites Ng and Michael I.
A Probabilistic Representation of Deep Learning Ng and Michael I
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.814273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 468dbdfa-5b55-4cf2-b676-77a4b96d5c50 · outbound
This paper cites Statistical exponential families: A digest with flash cards.
A Probabilistic Representation of Deep Learning Statistical exponential families: A digest with flash cards
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:10:39.451344Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4cbb117-bf74-4442-97b5-22e6b41b08ea · outbound
This paper cites Aprobabilisticframework for deep learning.
A Probabilistic Representation of Deep Learning Aprobabilisticframework for deep learning
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.801357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d913b689-fa70-4c16-8169-70d0816d588c · outbound
This paper cites Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution.
A Probabilistic Representation of Deep Learning Theoretical Impediments to Machine Learning With Seven Sparks from the Causal Revolution
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:10:39.460022Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 232f9aae-af9b-4fed-898d-e9a65ebb2756 · outbound
This paper cites Richard and R.P.
A Probabilistic Representation of Deep Learning Richard and R.P
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.788416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1cfa1785-8f6b-494e-bc5a-96ad2450f46c · outbound
This paper cites Rumelhart, Geoffrey E.
A Probabilistic Representation of Deep Learning Rumelhart, Geoffrey E
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.775011Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation efcfc163-628b-4b05-b2fd-f5905126f79c · outbound
This paper cites Deep boltzmann machines.
A Probabilistic Representation of Deep Learning Deep boltzmann machines
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.760385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 98462bf6-7f62-4325-a2e7-fa807dd99899 · outbound
This paper cites On the information bottleneck theory of deep learning.
A Probabilistic Representation of Deep Learning On the information bottleneck theory of deep learning
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.746590Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d02adc9f-2995-4e6c-9867-261508277f69 · outbound
This paper cites Opening the Black Box of Deep Neural Networks via Information.
A Probabilistic Representation of Deep Learning Opening the Black Box of Deep Neural Networks via Information
Reference 33
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:10:39.482581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3abe59eb-f634-49ba-af34-ad691ccca99e · outbound
This paper cites an unresolved cited work.
A Probabilistic Representation of Deep Learning Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:10:39.732110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 11e6bda5-88f1-4ad1-beff-bc7d26747187 · outbound
This paper cites Jaakkola.
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.716765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8ea8e7ab-7fef-4fe1-94ab-352644b1ecb3 · outbound
This paper cites Deep Mixtures of Factor Analysers.
A Probabilistic Representation of Deep Learning Deep Mixtures of Factor Analysers
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T11:10:39.494696Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6bd05c9b-063c-4be2-87f5-f4593e5e0440 · outbound
This paper cites an unresolved cited work.
A Probabilistic Representation of Deep Learning Unresolved cited work
Reference 37
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:10:39.702803Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1237d842-c587-4674-a973-0c8993e2c991 · outbound
This paper cites Understanding deep learning requires rethinking generalization.
A Probabilistic Representation of Deep Learning Understanding deep learning requires rethinking generalization
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.688888Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0c0ce6b6-8b7e-4493-98f6-dbbfc3590b17 · outbound
This paper cites an unresolved cited work.
A Probabilistic Representation of Deep Learning Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T11:10:39.675164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 57e49a3b-8b60-4929-b741-7c70c93abd0a · outbound
This paper cites Conditional random fields as recurrent neural networks.
A Probabilistic Representation of Deep Learning Conditional random fields as recurrent neural networks
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T11:10:39.661847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.