Paper Citation Record · LEDGER

iVideoGPT: Interactive VideoGPTs are Scalable World Models

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2405.15223.

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

pith.paper-citation-record.v1
2405.15223 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T06:00:16.294098Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T04:09:35.376333Z

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 095250ee-3180-463a-9607-4e7df94b8126 · inbound

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model cites this paper.

FLIP: Flow-Centric Generative Planning as General-Purpose Manipulation World Model iVideoGPT: Interactive VideoGPTs are Scalable World Models

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-11T18:07:55.262590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b993cd75-f9fe-4ebb-af8d-5d0ce1d344bc · inbound

On the Benefits of Instance Decomposition in Video Prediction Models cites this paper.

On the Benefits of Instance Decomposition in Video Prediction Models iVideoGPT: Interactive VideoGPTs are Scalable World Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-10T19:12:00.823669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b2a5669e-4915-4dd4-bec9-05687ca1924a · inbound

Graph World Model cites this paper.

Graph World Model iVideoGPT: Interactive VideoGPTs are Scalable World Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T17:37:11.802704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e127e4d7-7128-4342-8314-60174b923251 · inbound

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems cites this paper.

Met$^2$Net: A Decoupled Two-Stage Spatio-Temporal Forecasting Model for Complex Meteorological Systems iVideoGPT: Interactive VideoGPTs are Scalable World Models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T15:02:35.484872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 993b419c-8b00-403f-9ca9-22cb30aa54c0 · inbound

World Action Models: The Next Frontier in Embodied AI cites this paper.

World Action Models: The Next Frontier in Embodied AI iVideoGPT: Interactive VideoGPTs are Scalable World Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-13T05:02:17.867757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 33b9f769-7751-4fc1-bdcd-647b409edfae · inbound

CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization cites this paper.

CLAW: Learning Continuous Latent Action World Models via Adversarial Latent Regularization iVideoGPT: Interactive VideoGPTs are Scalable World Models

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-07-02T03:36:29.612285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 818c7bcd-c045-4299-9a0e-080f14c7b3ed · inbound

World Action Models: A Survey cites this paper.

World Action Models: A Survey iVideoGPT: Interactive VideoGPTs are Scalable World Models

Reference 174

Resolution: verified exact; arxiv_id, observed 2026-07-04T04:09:35.378853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5e1dfcce-821f-43d7-93cf-b06e294dabd4 · inbound

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models cites this paper.

Causally Debiased Latent Action Model for Embodied Action Conditioned World Models iVideoGPT: Interactive VideoGPTs are Scalable World Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-07-13T04:50:59.096166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f5b624cc-5507-47b7-8026-463e2d733e95 · inbound

Open-AoE: An Open Egocentric Manipulation Dataset and Toolchain for Embodied Learning cites this paper.

Open-AoE: An Open Egocentric Manipulation Dataset and Toolchain for Embodied Learning iVideoGPT: Interactive VideoGPTs are Scalable World Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-02T03:25:28.138304Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30af5aaf-06d9-46c0-92d6-365be56d942e · inbound

Quo Vadis, World Modeling? cites this paper.

Quo Vadis, World Modeling? iVideoGPT: Interactive VideoGPTs are Scalable World Models

Reference 172

Resolution: unresolved; no resolver link, observed 2026-08-07T00:14:14.400476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2010d104-c58b-4b0c-a55b-254c16096e83 · inbound

DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation cites this paper.

DreamX-Phi 1.0: Action-Conditioned Video World Model for Robotic Manipulation iVideoGPT: Interactive VideoGPTs are Scalable World Models

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-14T06:00:16.294098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.