Paper Citation Record · LEDGER

Learning Latent Dynamic Robust Representations for World Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2405.06263.

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

pith.paper-citation-record.v1
2405.06263 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:21:20.444497Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:15:22.104807Z

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 51878fb5-582c-4d53-b65e-82efa8d625ba · inbound

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations cites this paper.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Learning Latent Dynamic Robust Representations for World Models

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:21:48.737252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 26411a1f-80c4-4ddf-b11c-7dc6c85b94e3 · inbound

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations cites this paper.

Agent-Centric Observation Adaptation for Robust Visual Control under Dynamic Perturbations Learning Latent Dynamic Robust Representations for World Models

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:50:49.871710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9b68c751-5446-4d8f-b506-e0537037a56b · inbound

OrbiSim: World Models as Differentiable Physics Engines for Embodied Intelligence cites this paper.

OrbiSim: World Models as Differentiable Physics Engines for Embodied Intelligence Learning Latent Dynamic Robust Representations for World Models

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:43:45.653278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8006f9a3-9901-4617-b1ed-a8ce8828346d · 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 Learning Latent Dynamic Robust Representations for World Models

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:15:22.114090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c87af2bf-3a10-4f05-83d5-2e3ae50a5259 · inbound

Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation cites this paper.

Towards Dual-Brain Minimal Sufficient Representation for Vision-Language Navigation Learning Latent Dynamic Robust Representations for World Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-01T03:26:17.714001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f69beb38-5e57-4822-8c54-577c36017f64 · inbound

TaskSense: Focusing on What Matters in World Models cites this paper.

TaskSense: Focusing on What Matters in World Models Learning Latent Dynamic Robust Representations for World Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-10T04:21:20.444497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.