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Paper Citation Record · LEDGER

MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2403.09859.

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

pith.paper-citation-record.v1
2403.09859 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:33:49.533458Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T19:32:34.977396Z

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 b13efa27-2888-450f-9d45-14dbf77a6349 · inbound

Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks cites this paper.

Task-Aware Virtual Training: Enhancing Generalization in Meta-Reinforcement Learning for Out-of-Distribution Tasks MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:32:28.776998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-23T03:27:41.641417Z digest=sha256:726d8d63a2bb8e69fe1ebc754f2d0b5ac6bbb8cad0ed35e3b64972c82965bd98

Observation 477112b8-7a72-4d4b-925a-de7e48710a22 · inbound

Embodied Intelligence: The Key to Unblocking Generalized Artificial Intelligence cites this paper.

Embodied Intelligence: The Key to Unblocking Generalized Artificial Intelligence MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-15T22:33:49.533458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:33:49.533458Z digest=sha256:3bdd4659c4e16cc704c5febdcb9824218ade2b6e06fb6c5eb443d44254c828ab

Observation 118bf2cf-c6c2-43cb-936c-a8d46f7556d2 · inbound

Success in Humanoid Reinforcement Learning under Partial Observation cites this paper.

Success in Humanoid Reinforcement Learning under Partial Observation MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T18:11:10.924642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:11:10.924642Z digest=sha256:6c92e1cca1ea2b81bdcf69be4b89b4b28e2606cab6f5e570458cb74504744693

Observation ff5a59f1-2bc9-4995-8bbd-842fc052abd4 · inbound

Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning cites this paper.

Behavior-Invariant Task Representation Learning with Transformer-based World Models for Offline Meta-Reinforcement Learning MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-28T19:32:34.978990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T19:27:25.233173Z digest=sha256:054304de5bc7b2caaab5625a460da734d3d8b1e56cf4daae8933665df8f50953