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Paper Citation Record · LEDGER

Improving Token-Based World Models with Parallel Observation Prediction

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.05643.

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

pith.paper-citation-record.v1
2402.05643 v5

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:56:23.518567Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T21:43:45.640383Z

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 743ebb12-c02e-435c-9853-0ef33b911072 · inbound

A Survey of Retentive Network cites this paper.

A Survey of Retentive Network Improving Token-Based World Models with Parallel Observation Prediction

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:23.518567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:56:23.518567Z digest=sha256:3d0a3b60003a6f396b233d62e7742241944fbaeb4a19f7e9283a0aeee0de311c

Observation fd1832b1-e158-47ea-92e8-e888667c4288 · inbound

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

OrbiSim: World Models as Differentiable Physics Engines for Embodied Intelligence Improving Token-Based World Models with Parallel Observation Prediction

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-20T21:43:45.642256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T21:39:10.310926Z digest=sha256:123286f3d5b0981ad5ee7b3c7aa225d5c31d2ea032acf46f6bfaffca06a751e1