Paper Citation Record · LEDGER

Goku: Flow Based Video Generative Foundation Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2502.04896.

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

pith.paper-citation-record.v1
2502.04896 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:20:20.049659Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:31:36.510544Z

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 db7427bf-25e3-4924-8688-59dfdea8ab36 · inbound

VACE: All-in-One Video Creation and Editing cites this paper.

VACE: All-in-One Video Creation and Editing Goku: Flow Based Video Generative Foundation Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-16T00:53:54.139725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation da65e6d6-5bcd-40e6-9e80-76ea5c5d9830 · inbound

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation cites this paper.

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation Goku: Flow Based Video Generative Foundation Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T20:20:20.049659Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 343d2a48-e967-478b-9f55-9d38b4aae68e · inbound

From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms cites this paper.

From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms Goku: Flow Based Video Generative Foundation Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T20:17:44.619825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cff7969-361a-4ced-bf5a-e069987fa478 · inbound

HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning cites this paper.

HuMo: Human-Centric Video Generation via Collaborative Multi-Modal Conditioning Goku: Flow Based Video Generative Foundation Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T20:35:30.238979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26eb7b67-5785-468d-ba32-3b6f849bf9e8 · inbound

Improving Video Diffusion Transformer Training by Multi-Feature Fusion and Alignment from Self-Supervised Vision Encoders cites this paper.

Improving Video Diffusion Transformer Training by Multi-Feature Fusion and Alignment from Self-Supervised Vision Encoders Goku: Flow Based Video Generative Foundation Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T18:58:10.893526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac8cb034-2752-4382-ac22-0c3f665f6926 · inbound

Demystifying Transition Matching: When and Why It Can Beat Flow Matching cites this paper.

Demystifying Transition Matching: When and Why It Can Beat Flow Matching Goku: Flow Based Video Generative Foundation Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:31:36.514398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a2cecf91-d31b-4a45-a5ce-cedfb6525e2c · inbound

VHOI: Controllable Video Generation of Human-Object Interactions from Sparse Trajectories via Motion Densification cites this paper.

VHOI: Controllable Video Generation of Human-Object Interactions from Sparse Trajectories via Motion Densification Goku: Flow Based Video Generative Foundation Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T23:31:21.942829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c06e65dc-7ab7-4721-97a2-17e381ada3d1 · inbound

Evolution of Video Generative Foundations cites this paper.

Evolution of Video Generative Foundations Goku: Flow Based Video Generative Foundation Models

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:05:51.885205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.