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Paper Citation Record · LEDGER

STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2310.09615.

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

pith.paper-citation-record.v1
2310.09615 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:56:45.507846Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:15:22.209222Z

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 fa855692-1340-4897-a545-626b161111a9 · inbound

Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder cites this paper.

Efficient Reinforcement Learning Through Adaptively Pretrained Visual Encoder STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-08T18:56:45.507846Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T18:56:45.507846Z digest=sha256:0f4292594ecd322299db84a9b8834f1326776bfd547f789e3152a4d32ef382c7

Observation de9cf525-bdb9-499d-8d9c-8b9d9eb5f0be · inbound

WMAttack: Automated Attack Search for Adversarial Evaluation of World-Model Agents cites this paper.

WMAttack: Automated Attack Search for Adversarial Evaluation of World-Model Agents STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-25T05:15:22.212519Z

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.

source=pdf_text observed=2026-05-25T05:14:59.444339Z digest=sha256:f1eb46ab4c3242aee4084326ca2e2a3f8ead698223763831b1e6bc66d36a4f6b

Observation 2c48ebd4-04d9-46e1-8a89-57bd28f7c6a1 · inbound

Quo Vadis, World Modeling? cites this paper.

Quo Vadis, World Modeling? STORM: Efficient Stochastic Transformer based World Models for Reinforcement Learning

Reference 222

Resolution
unresolved
no resolver link, observed 2026-08-07T00:14:17.287180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:14:17.287180Z digest=sha256:d44b438ee116a7b3b8abf506320e4f5313c17bb5bb58d233e3aeb130896cd0f3