Paper Citation Record · LEDGER

MonoFormer: One Transformer for Both Diffusion and Autoregression

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2409.16280.

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

pith.paper-citation-record.v1
2409.16280 v1

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 2026-08-07T06:34:17.273281+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:42:13.772497Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:14:01.731405Z

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 f1970a41-a2c8-44f1-bc4d-66b0716a5c3f · inbound

Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling cites this paper.

Janus-Pro: Unified Multimodal Understanding and Generation with Data and Model Scaling MonoFormer: One Transformer for Both Diffusion and Autoregression

Reference 54

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:14:53.043514Z

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.

Observation 6e649b9f-8e7c-4028-8a62-a889466678e9 · inbound

HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model cites this paper.

HybridVLA: Collaborative Diffusion and Autoregression in a Unified Vision-Language-Action Model MonoFormer: One Transformer for Both Diffusion and Autoregression

Reference 68

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:00:48.747273Z

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.

Observation a6476030-a421-4f75-9e33-c9d7a477eed6 · inbound

ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback cites this paper.

ComfyMind: Toward General-Purpose Generation via Tree-Based Planning and Reactive Feedback MonoFormer: One Transformer for Both Diffusion and Autoregression

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:42:13.772497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb647602-edc0-4160-b56c-70180aab2871 · inbound

Muddit: Liberating Generation Beyond Text-to-Image with a Unified Discrete Diffusion Model cites this paper.

Muddit: Liberating Generation Beyond Text-to-Image with a Unified Discrete Diffusion Model MonoFormer: One Transformer for Both Diffusion and Autoregression

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-19T13:02:18.406221Z

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.

Observation 69d98c81-9564-48fe-8a07-aeefee81b03d · inbound

MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation cites this paper.

MADFormer: Mixed Autoregressive and Diffusion Transformers for Continuous Image Generation MonoFormer: One Transformer for Both Diffusion and Autoregression

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:26:02.300549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6739e870-947f-49f0-be19-e358def20ee3 · inbound

Show-o2: Improved Native Unified Multimodal Models cites this paper.

Show-o2: Improved Native Unified Multimodal Models MonoFormer: One Transformer for Both Diffusion and Autoregression

Reference 146

Resolution: verified exact; arxiv_id, observed 2026-05-12T18:51:15.977705Z

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.

Observation 3b9d40d5-b6bd-490f-9d3f-24a5d8907f3b · inbound

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models cites this paper.

SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models MonoFormer: One Transformer for Both Diffusion and Autoregression

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T09:54:26.483487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 467c2d02-f499-40a0-a494-5885d7e57832 · inbound

Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications cites this paper.

Generative AI Meets 6G and Beyond: Diffusion Models for Semantic Communications MonoFormer: One Transformer for Both Diffusion and Autoregression

Reference 112

Resolution: verified exact; arxiv_id, observed 2026-05-17T23:40:31.129030Z

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.

Observation fc17375e-21ef-4e2a-a95d-511875bac497 · inbound

LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens cites this paper.

LLaMo: Scaling Pretrained Language Models for Unified Motion Understanding and Generation with Continuous Autoregressive Tokens MonoFormer: One Transformer for Both Diffusion and Autoregression

Reference 92

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:02:19.635308Z

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.

Observation 82518d8e-1e50-4256-aadb-1cd7e7d593ff · inbound

MONET: A Massive, Open, Non-redundant and Enriched Text-to-image dataset cites this paper.

MONET: A Massive, Open, Non-redundant and Enriched Text-to-image dataset MonoFormer: One Transformer for Both Diffusion and Autoregression

Reference 110

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:23:58.465588Z

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.

Observation 2400eb6a-2ba1-489c-9c58-8f3faab8de1e · inbound

DIVA: Harnessing the Representation Divergence in Unified Multimodal Models for Mutual Reinforcement cites this paper.

DIVA: Harnessing the Representation Divergence in Unified Multimodal Models for Mutual Reinforcement MonoFormer: One Transformer for Both Diffusion and Autoregression

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:14:01.733544Z

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.