Paper Citation Record · LEDGER

OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2412.01169.

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

pith.paper-citation-record.v1
2412.01169 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:59:35.563998Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T05:51:25.529624Z

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 52608195-9992-48b1-ab74-4c2502fe686c · inbound

LaViDa: A Large Diffusion Language Model for Multimodal Understanding cites this paper.

LaViDa: A Large Diffusion Language Model for Multimodal Understanding OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T14:59:35.563998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43be3b75-d5fa-411d-a840-991ebc006b4b · inbound

UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning cites this paper.

UniRL: Self-Improving Unified Multimodal Models via Supervised and Reinforcement Learning OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:53:23.481480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08756ba8-eb7c-4020-943c-5cc4f05a57f7 · inbound

Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces cites this paper.

Diffuse Everything: Multimodal Diffusion Models on Arbitrary State Spaces OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T05:34:51.345354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ebe2114-334c-42b0-ac95-61f35730573a · inbound

Flow Diverse and Efficient: Learning Momentum Flow Matching via Stochastic Velocity Field Sampling cites this paper.

Flow Diverse and Efficient: Learning Momentum Flow Matching via Stochastic Velocity Field Sampling OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:11:23.676792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5cec857-e94b-4962-9b6d-4236679b470c · inbound

Flow Straight and Fast in Hilbert Space: Functional Rectified Flow cites this paper.

Flow Straight and Fast in Hilbert Space: Functional Rectified Flow OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T18:00:37.408957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ced0174-0da9-4e56-bd04-66c6fd7506c5 · inbound

Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation cites this paper.

Lavida-O: Elastic Large Masked Diffusion Models for Unified Multimodal Understanding and Generation OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T15:39:37.010618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bcaa1ba-a0f9-462b-8831-b78185c9ddb6 · inbound

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study cites this paper.

Any2Any 3D Diffusion Models with Knowledge Transfer: A Radiotherapy Planning Study OmniFlow: Any-to-Any Generation with Multi-Modal Rectified Flows

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-12T05:51:25.532529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.