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Paper Citation Record · LEDGER

LIMT: Language-Informed Multi-Task Visual World Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.13466.

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

pith.paper-citation-record.v1
2407.13466 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:16:33.967601Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:08:17.270399Z

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 79fcb6d7-3857-4729-8c18-155ef65d53a7 · inbound

GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control cites this paper.

GEM: A Generalizable Ego-Vision Multimodal World Model for Fine-Grained Ego-Motion, Object Dynamics, and Scene Composition Control LIMT: Language-Informed Multi-Task Visual World Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T15:16:33.967601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T15:16:33.967601Z digest=sha256:57f5f56f10c106384334aafc5b3377268e47a71e3f9b7c140027606b3d567594

Observation 08abbfcf-e2ea-4d1b-a180-f67797cd9d49 · inbound

Multi-Task Reinforcement Learning for Quadrotors cites this paper.

Multi-Task Reinforcement Learning for Quadrotors LIMT: Language-Informed Multi-Task Visual World Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:08:17.277053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-11T14:08:17.155016Z digest=sha256:50a52270213ce0074f9202516aeba385d5db24d58b077326cef416086b476416