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Paper Citation Record · LEDGER

Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1907.00953.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
1907.00953 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:47:32.887758Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-17T21:05:15.595105Z

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 dc6a30a7-4c44-4922-b227-efb574f36caa · inbound

Dream to Control: Learning Behaviors by Latent Imagination cites this paper.

Dream to Control: Learning Behaviors by Latent Imagination Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-12T01:16:36.552472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T01:16:36.399272Z digest=sha256:d6a25c96cc05b9b28a254ef442ec28066c3c156cd7a348a2e75ed85de367990f

Observation cbefdad7-1309-46f3-9c0f-0f0ab9c1b05f · inbound

Mastering Atari with Discrete World Models cites this paper.

Mastering Atari with Discrete World Models Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-15T01:27:31.984389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-15T01:27:31.813680Z digest=sha256:9e3fb274c7a3a25602d01bdc5f79f0687ec032350977e23a0fce7525e3f4f710

Observation 438d9ebb-5e2d-4d2d-973a-93f711ed4b8e · inbound

Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning cites this paper.

Self-Predictive Dynamics for Generalization of Vision-based Reinforcement Learning Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T10:47:32.887758Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:47:32.887758Z digest=sha256:97fdb8cd93f977a8be7e2480305dd695c8ff1c81106f740d2a80a3911520a35a

Observation c13a3897-0a53-46f0-ac0b-9b058b732865 · inbound

rQdia: Regularizing Q-Value Distributions With Image Augmentation cites this paper.

rQdia: Regularizing Q-Value Distributions With Image Augmentation Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T22:30:07.977037Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:30:07.977037Z digest=sha256:aca2eda6fc1293672dcdfc36eee1d3be3f1545af2d9efc77e17f3ff6a95f2496

Observation 40975917-4239-4aec-98f8-f204ecb3b025 · inbound

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning cites this paper.

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-17T21:05:15.597672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-17T21:04:41.766964Z digest=sha256:81071796217a6206b5007af52313cefd556c9e194b7e97b6f68b9422da8cfe51

Observation 17656cec-09bf-46ff-92c1-6287c0122a17 · inbound

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning cites this paper.

Self-Supervised Multisensory Pretraining for Contact-Rich Robot Reinforcement Learning Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-03T21:40:42.892030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:40:42.892030Z digest=sha256:27ce0e4f7a5dac13f3252e8129413dfb462eaf0e2e3aa7f9d3bcb2b08709f31a

Observation 7a702d3a-d073-4799-ba67-2574471c3569 · inbound

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills cites this paper.

Weights or Skills? A Survey of Robot-Learning Techniques: from Action-Predicting Weights to Robots that Write their Own Skills Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model

Reference 130

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:34.867426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T19:45:34.867426Z digest=sha256:222ab902a1ee707122c851215a432d124ef4c1f53a0b22ff7438f6af1d88c3de