Pith. sign in

Paper Citation Record · LEDGER

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling

As of 17 August 2026, this Paper Citation Record lists 100 of 293 outbound references and 0 inbound Pith citation observations for arXiv:2608.12276.

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

pith.paper-citation-record.v1
2608.12276 v2

Coverage vector

measured 100 of 293 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:18:29.941357Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

100 of 293 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ae7a894b-2ca8-449d-812e-e94cf0aea9ae · outbound

This paper cites ICLR , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ICLR , year=

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.456003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.456003Z digest=sha256:0947b05e471b019f0cb0919bd1d363f3244ec3658172b9fae37ac8e99b8fe060

Observation c63acc0f-92c3-4626-ade5-ceaa74f2800f · outbound

This paper cites MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling MDTv2: Masked Diffusion Transformer is a Strong Image Synthesizer

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.473516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.473516Z digest=sha256:4ef2448a9f278238a850ec2ab51d6bdce1cc425511eb4c192597e8d32e6d11ff

Observation 2b90d420-33e4-49ba-96e2-e93e873dded4 · outbound

This paper cites Qwen Technical Report.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Qwen Technical Report

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.478744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.478744Z digest=sha256:c20d4898d8327b1a7d6c4142f9b4e332f960943cfdfbac0dc62d684670aa4185

Observation 509f9680-5356-4b24-9c42-e165699b165d · outbound

This paper cites Journal of Machine Learning Research , volume=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Journal of Machine Learning Research , volume=

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.484454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.484454Z digest=sha256:94afd4f098f4b50abb487ad3f35f532a8aac53b21663dc7d6948cf6aebbb8a53

Observation a2d93bd2-880e-42de-bb13-b9be9b28d9f7 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Gemini: A Family of Highly Capable Multimodal Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.488773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.488773Z digest=sha256:46c7f8783b3304686693201af3fc49dee8daada0d9ff303b101685ff68741e70

Observation faa4df9c-26ed-4ea9-a8bb-81488081d9dc · outbound

This paper cites The Llama 3 Herd of Models.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling The Llama 3 Herd of Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.493369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.493369Z digest=sha256:1590ea76c82790e34f3ec2ea4c0cc5850b8cc5963f7ff95f90cda005d934f900

Observation 928e18ba-261f-440d-a126-1af9a5951919 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.498193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.498193Z digest=sha256:56d1a34ef283b93dfb5bae1ff397939a6d90bfccd2b9ad7e8c41b75c49624764

Observation a3d70d31-22c6-4f7d-880d-9b612783c871 · outbound

This paper cites Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Open-MAGVIT2: An Open-Source Project Toward Democratizing Auto-regressive Visual Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.503040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.503040Z digest=sha256:68f8d08030fbe08e0009e0d52780376fe8e57ac5c9201a9252a9d8eff0124a00

Observation eb909a2c-2d45-4e1f-9114-ec6f56c7fc38 · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.507310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.507310Z digest=sha256:1b0f75c9ca1671078cc3cd008922426cc3aca25a27b6566787fa47d673614790

Observation 1ffa0eff-1adf-4711-8bc0-693dfeba00b5 · outbound

This paper cites Large Scale GAN Training for High Fidelity Natural Image Synthesis.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Large Scale GAN Training for High Fidelity Natural Image Synthesis

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.511124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.511124Z digest=sha256:dabe8943bc6973948648b1df042a37dfbf7e8b4d749185f05e334380f06a54c2

Observation 9b7bd4d8-1800-42d6-bfdf-637d7632f6f8 · outbound

This paper cites CVPR , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.515288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.515288Z digest=sha256:f7b176607ebba84e969d3e78610969465af0346fb5641e5b279d76795c6471f2

Observation 2042bd8a-d498-4c2e-9b39-60ef1a212655 · outbound

This paper cites CVPR , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.539268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.539268Z digest=sha256:5d98f74329a0ce0e27e0409f1210356ed19b38c6a0219232eb1d7813906c945b

Observation b2652670-4793-4b1b-b3b2-3e01d3b5dd29 · outbound

This paper cites ECCV , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ECCV , year=

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.563061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.563061Z digest=sha256:c5f91ac9895602936b385f83692da2ab447cc49a678de3f4d8668da2467c00aa

Observation 1571b0ee-3d9a-4079-99c8-25cc2f3f6470 · outbound

This paper cites ICCV , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ICCV , year=

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.599743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.599743Z digest=sha256:ad48d2a504fe8b64603f96dd60fb3c5644daecd6027e6b59bd408139b84e3ebd

Observation 0ee65f3a-6fd9-49cb-bc85-5bcb2ca716e7 · outbound

This paper cites Disorder in Andreev reflection of a quantum Hall edge.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Disorder in Andreev reflection of a quantum Hall edge

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.676279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.676279Z digest=sha256:8f1a78e3f7199628cc20df5a5e5ea1b990534eb3e13921f13d4f9dec06e01709

Observation d598f7c5-8946-4227-81b4-87e26c434e1c · outbound

This paper cites Return of Unconditional Generation: A Self-supervised Representation Generation Method , year =.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Return of Unconditional Generation: A Self-supervised Representation Generation Method , year =

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.764201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.764201Z digest=sha256:c27d5312310f0a0253933a78467230ab6e35e2932f76f982eca0194ba49f93af

Observation d9234d8c-c048-4f22-b427-6df2d33f77ac · outbound

This paper cites Mean Flows for One-step Generative Modeling.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Mean Flows for One-step Generative Modeling

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.767973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.767973Z digest=sha256:a3fc31ae26d5909d155cd8869336c4c94c08eda163b80486831e910e5f26b513

Observation c74f1261-69d9-40b6-b0c2-f173c98bf5c6 · outbound

This paper cites Transition Matching: Scalable and Flexible Generative Modeling.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Transition Matching: Scalable and Flexible Generative Modeling

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.775943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.775943Z digest=sha256:56f915d7352e331eb842f7f6aeff308e70fb8b32f33d0a7f18aa69c6a2454282

Observation 6c015523-925c-4acc-b00a-2025465ec6a6 · outbound

This paper cites CVPR , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.780462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.780462Z digest=sha256:6c826f88dc3eb2140a5a813da4c71af40ddf37405093b27ad0de562264da9d3f

Observation d5af6db2-ffad-4cb4-902a-a274d6bd18cf · outbound

This paper cites Building Normalizing Flows with Stochastic Interpolants.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Building Normalizing Flows with Stochastic Interpolants

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.785032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.785032Z digest=sha256:8ace2be9fddc1c4cea00c083eb7161cec762f17144a7512f5be7b2d7547835b1

Observation efe64f62-8ed3-4634-b50e-63a2cbff0ec2 · outbound

This paper cites ICML , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ICML , year=

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.788974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.788974Z digest=sha256:78d21f2ed7526fa82de0d790936f900fa9ab8194f830d55f6740fe694aa39655

Observation 27508c57-9aa1-418e-b2ef-53dc0b8217b8 · outbound

This paper cites CVPR , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.792590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.792590Z digest=sha256:50fbe79259fa374207cf02028d5bb6ac4d4dc87ff0db7874f5f0d2b817cffcac

Observation b28df356-0d4a-48d0-bc49-cfc2dce27f51 · outbound

This paper cites Layer Normalization.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Layer Normalization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.795920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.795920Z digest=sha256:2c29e306915e7aef84e9651ce54f3b20d641cc5cea74d243789d9175995bc95b

Observation 0b6f9a9f-d791-4066-81dd-cc8bb2865e04 · outbound

This paper cites NeurIPS , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling NeurIPS , year=

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.799575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.799575Z digest=sha256:2a036c39206f329f4330f4551df7b0cc42a6abed5f6f3fee87ea40716356635f

Observation f7ced0f6-f9af-491b-8a00-e0a33b30d5d5 · outbound

This paper cites NeurIPS , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling NeurIPS , year=

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.802757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.802757Z digest=sha256:291d8c31e4e7bb42735ef887e4af84155721554195a1b233c60bec8acd5a45e9

Observation 1fc5205b-8d1c-43ea-82f7-5381f41bfa97 · outbound

This paper cites NeurIPS , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling NeurIPS , year=

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.806627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.806627Z digest=sha256:a49c51884c1f95323807c1725be4b7bdd4f20a4532cbd566c631f8dd21a9fff0

Observation 6689daa9-6420-4a22-b78b-aa3f8075e5e1 · outbound

This paper cites CVPR , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.810742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.810742Z digest=sha256:f0765e48cc30f9300cc0a035310d520b520ee4684b912efa8d5c4cb2e6a61888

Observation 3448985d-4932-48f4-b6c9-714e2cb1f507 · outbound

This paper cites Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.814374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.814374Z digest=sha256:524399e9b7b739d810f3286255d604297f24217607645344da7f9ccde1a2f5bd

Observation 435b3d51-9819-4d71-997a-cbf97cd1f0f5 · outbound

This paper cites NeurIPS , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling NeurIPS , year=

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.818559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.818559Z digest=sha256:b5b2984ef8d4aa50ad543c36f6083c4c2dfff92b34045a22bd5350cae8089e53

Observation 14184933-fca1-44f1-a31e-0e232c6f0fac · outbound

This paper cites NeurIPS , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling NeurIPS , year=

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.822872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.822872Z digest=sha256:8dd9bd33b1019e0c7f3088a11f11d807b8c021744b56ff5c1c89189bb0906e61

Observation d204a963-a574-40b2-84c6-88ecfabb0c54 · outbound

This paper cites Journal of Machine Learning Research , volume=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Journal of Machine Learning Research , volume=

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.826414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.826414Z digest=sha256:a44d7d841aaf5040cf2dbb26ac47578ccde7c522c0332d3c28eb6804825cd210

Observation 44bbe8ee-785d-4284-baba-ed05bb6cda17 · outbound

This paper cites Large-dit-imagenet , url=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Large-dit-imagenet , url=

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.829600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.829600Z digest=sha256:9fc1886b89e9e8c4f26c9e29e2030fe6f1977f56b7896d635420849153673e2f

Observation 8a0c79b7-9be6-4b03-9420-afea6c8357ad · outbound

This paper cites Scaling Autoregressive Models for Content-Rich Text-to-Image Generation.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.833500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.833500Z digest=sha256:dcaf55708c184eb4520355cc3b48fa7dc02489f5bfe39606cabffd6b83be9119

Observation dfe52f0a-3c19-44cc-a5a0-afda194b46e5 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.893207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.893207Z digest=sha256:6dca53fbf30b2046a154fe4b46c98e30029c2a8cdef97ff11981e5ca4709a2e7

Observation 34befc36-3a4c-4f10-9f6d-20ba1650afae · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:28.975783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:28.975783Z digest=sha256:8273cd57f25ad3642f09e4c6a8a6d9b2bcc6dfc4be7e7c6e1eb43cbae0d31455

Observation 20eb5ceb-87dd-427b-a4dc-9b62452aa60e · outbound

This paper cites NeurIPS , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling NeurIPS , year=

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.005040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.005040Z digest=sha256:f6473625935d1b1c327d20a3891541680b6f876f5c9120ff1eb56ea19b0e95b9

Observation c0cf535e-446a-4f79-b98b-1e1b84fafa0b · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.009048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.009048Z digest=sha256:06151c8d6438010de466fc23d84b2b70531422a90615d1b0d4d7b97e82d73188

Observation ae5be7bb-ed60-412a-9065-929c9bf6c5df · outbound

This paper cites Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.013098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.013098Z digest=sha256:b9f75ada7e47a7325105faf56d1f1ab86fe0e724ed53d71bc4fb974357c02b65

Observation 09e3fbd1-2c55-4e63-8f6b-008dd57662ed · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.016948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.016948Z digest=sha256:118e77929c7a0a2e9140f8b0e2d116a657262bdb25d34bff2b9a1246688b821b

Observation eb467768-e22c-42c1-b435-f51b9a65914c · outbound

This paper cites Autoregressive Pretraining with Mamba in Vision.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Autoregressive Pretraining with Mamba in Vision

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.021500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.021500Z digest=sha256:b47d24ac6aa06bfac9331089f42705970928923474b2c0d42adc8651bd52a723

Observation 0d56c45b-373a-4236-948b-07a0a0d4f5ca · outbound

This paper cites Dimba: Transformer-Mamba Diffusion Models.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Dimba: Transformer-Mamba Diffusion Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.025359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.025359Z digest=sha256:e3e934ac94606d405a6ba924e273c4b6a9a892166e84152ffe599a515c582501

Observation 70dae6f5-34a5-4149-b5f0-f9d655dfad19 · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.030244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.030244Z digest=sha256:08faf082a50536eb854047153df343d315a99eda81f1a335368014da3885b2ca

Observation 5cb83cac-2a5a-40ab-9b7e-fb4a1834950d · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.034426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.034426Z digest=sha256:77d163d3f82cc57fe6ca4bfd84de6c9704eaab18666662b5c22be324d08481c3

Observation 3d0f1e2d-657d-4a4c-a44d-3ec8e5b64d00 · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.039443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.039443Z digest=sha256:1e4a25f7077add754b141347988a0dfc967ed2b938752bfaa1589618400d48ea

Observation 2405d889-2a8b-470d-ad29-1d7fcb945e1e · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.044271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.044271Z digest=sha256:0d9f1e26f478f76160b91a12c25c8a4877d5674e6c8c657b841aa30b243a2017

Observation 6f6fe7e4-0c92-4b1d-bedb-b54939b4fea1 · outbound

This paper cites Neural computation , volume=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Neural computation , volume=

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.048152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.048152Z digest=sha256:f286bc8828b66bd8de2f6a25a2c3220918cb3be8f7a820f8743f03aba2221548

Observation 7dd1c9c9-d542-4e8c-b08f-c2c0c61bc234 · outbound

This paper cites Randomized Autoregressive Visual Generation.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Randomized Autoregressive Visual Generation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.052398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.052398Z digest=sha256:53ca1ef006a8edcf911105f39aa3387a8be0ced5194350664915192114c08913

Observation d8c9527c-99fe-4ade-8a0d-835f1dd4e676 · outbound

This paper cites Vector-quantized Image Modeling with Improved VQGAN.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Vector-quantized Image Modeling with Improved VQGAN

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.056475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.056475Z digest=sha256:9993bee29a952fbebc57dc024435fbaf5ed2f840751409217bf29c40c7b4c0f9

Observation 5aa15114-c872-46cf-8f7b-0af03e50f561 · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.059771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.059771Z digest=sha256:7b33ba7c0d672299d7d95dc56559ac16f3e9b037a2701cd52b328ff92271864d

Observation 3314cc77-eeb5-4ce7-8247-b5b9a7aedf0b · outbound

This paper cites 2018 , howpublished=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling 2018 , howpublished=

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.063504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.063504Z digest=sha256:6f38dd3f88175726ca57dbf5cb8e899e0f4a02c93975ef71321e951d8ea2fd17

Observation 4aca7c08-a9fb-4191-85a5-bd024e6f74dc · outbound

This paper cites 2020 , url=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling 2020 , url=

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.067770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.067770Z digest=sha256:f9d6cecf9539095357f5a42a67b1a4f8f799c753ec6737f06d12ee061353981c

Observation 26b9000e-fe0e-4d51-8878-bb047c9482c7 · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.071669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.071669Z digest=sha256:a6c785c3f7058b1122a3b188e00b43c5f9654d05c77549337f8f19a3b013a7bc

Observation d7c819f3-df6c-49ff-b1c5-33a7720dfdfe · outbound

This paper cites 2022 , howpublished =.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling 2022 , howpublished =

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.075348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.075348Z digest=sha256:5f112afb4acdc3904ed596221892e34feb89741b28e61abcee6bb0ad10921f5a

Observation 78120551-c619-4749-a8b9-3b282aef6543 · outbound

This paper cites GPT-4 Technical Report.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling GPT-4 Technical Report

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.117764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.117764Z digest=sha256:92980768cff52be676781c0f48d01ae51a81e56a28beb10288b88c5b10f89a40

Observation 501a74a1-60db-4381-8605-30e8d86092ae · outbound

This paper cites Proceedings of the IEEE , volume=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Proceedings of the IEEE , volume=

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.221419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.221419Z digest=sha256:5ed546ebb101734cbf212e8594d9622caf38fda4097e002af9c2d0d0fa382f7e

Observation 206afeae-32e9-4529-b20c-15ebbfd3b2b8 · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.292674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.292674Z digest=sha256:0093fd1745d7d6c7f00b2332d00710c7b120bc397faebd1c2fb07b6ad13d61fc

Observation f93204bb-ba84-4060-8255-57bfcabf357a · outbound

This paper cites arXiv preprint arXiv:2408.12245 , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling arXiv preprint arXiv:2408.12245 , year=

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.296748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.296748Z digest=sha256:13dc02647aed18d5d5528802a3cef4b22f1c9176246ac2385a8f5b51e242101a

Observation 280ba9de-734f-48ad-a934-a2e904e4e438 · outbound

This paper cites Efficiently Modeling Long Sequences with Structured State Spaces.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Efficiently Modeling Long Sequences with Structured State Spaces

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.301546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.301546Z digest=sha256:e36e46665165e702768b4a815e1407d7063fd50df01c3a805e795a94bfe85180

Observation bdc1b419-a128-470c-add1-ff4339257003 · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.306356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.306356Z digest=sha256:7fa2d39611754b68c4e752aca879f4cfb9f261e9f2a4013a68da2f08840953c7

Observation 47319e62-a617-4405-a693-fa08c047d5bd · outbound

This paper cites Long Range Language Modeling via Gated State Spaces.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Long Range Language Modeling via Gated State Spaces

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.310336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.310336Z digest=sha256:aee3323861f62fc63e572c463068b8a656856fcd2f6c0879168e20153cef608d

Observation 71b784e7-905a-4b34-8a3e-5318563eb066 · outbound

This paper cites How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.315247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.315247Z digest=sha256:6b26c631999edb6fb35bbab1e453bf0c3a84a6aff0fcc76cebacce323f243ea7

Observation 6f80e33d-6e15-4100-96e6-ccababf3f677 · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.319039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.319039Z digest=sha256:084ca10c91843e04b4e14f3af21dc368b8ff1c8e69ee724c7f4309120983eb79

Observation cf77b03d-0187-4d44-9fde-b398aa542877 · outbound

This paper cites MaskBit: Embedding-free Image Generation via Bit Tokens.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling MaskBit: Embedding-free Image Generation via Bit Tokens

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.322865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.322865Z digest=sha256:df808cd531b18f4c5af5485b5b6a04c9376c8a5a57cfbac8bc704f4119067087

Observation 393cfc63-53ab-431c-bba9-f7580a73b53a · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.327255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.327255Z digest=sha256:670b487e855ad6d74a6a3cce928fe7a41eda520f454c82eaa187671b8083252c

Observation 9df297d6-28bf-43d8-993d-bdfd5803cb5f · outbound

This paper cites Parallelized Autoregressive Visual Generation.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Parallelized Autoregressive Visual Generation

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.331175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.331175Z digest=sha256:abad0a144054d955d5e57b57201cf8539fbfd6458cf9443a43f2119a4665ea8f

Observation 7fc783a5-5071-4fc6-a3a8-54f38fc58260 · outbound

This paper cites and Ermon, Stefano and Rudra, Atri and R.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling and Ermon, Stefano and Rudra, Atri and R

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.334902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.334902Z digest=sha256:34094b74ae0b1fafae42934beb3c55b4e553a316f1b5f96e8308082bd4c82fc8

Observation 58b8013b-2732-48de-8512-4a154975c323 · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.338642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.338642Z digest=sha256:35e2df63b83efc817c19dd2c648e3cdf21a7e43fff111ceecc48b7b1702a8a22

Observation 57363b52-a683-4df5-907e-7b3460d37e33 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling LLaMA: Open and Efficient Foundation Language Models

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.396792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.396792Z digest=sha256:6f2f251e49a32275c83ff7afe7235f17fac6ebda7048d9f4c89674fc849c507e

Observation d942c78c-9049-4fd5-b536-e37a15d15444 · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling International Conference on Artificial Intelligence and Statistics , year=

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.462117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.462117Z digest=sha256:a6f10149611dd1a8f5de96813b9f66dedf25e7b2f751e3a4a74c94cb0fcfb3aa

Observation 6b7ec73f-4fed-4606-96dd-c46391d848ef · outbound

This paper cites Discriminator Rejection Sampling.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Discriminator Rejection Sampling

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.466158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.466158Z digest=sha256:65aa2b68a90d687433630a4e265666ed965fe4258215963a07653ae5c4ed14af

Observation d69d7c4f-8c30-4cbe-a485-b88502a7df90 · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.471253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.471253Z digest=sha256:88739bf5ea18687ea3f486ee69afbe3eac6a93dc792de962063c2db5c55f8897

Observation 2d04fc78-55bc-4cb4-9450-ef959d51de5f · outbound

This paper cites NeurIPS , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling NeurIPS , year=

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.475684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.475684Z digest=sha256:4875363e303ca8b0046912f3d5a99ee038b37733c238c719becbc25f5424434c

Observation 0b501c37-b3b1-49d3-9527-e760b892b5fa · outbound

This paper cites Denoising Diffusion Implicit Models.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Denoising Diffusion Implicit Models

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.480256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.480256Z digest=sha256:6d89ce78a18f3e12867d1b779e0a0d26bcf178cca9d28f34e490f1921178aa1f

Observation 8f740279-487d-4e15-897b-3d3ba9241f85 · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.486233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.486233Z digest=sha256:9783023f9242dbc09739e1a7dafeb6e50834f49f2af873774ded151357b227c6

Observation 89e9c131-4e14-48a2-9f3e-3f58bd473645 · outbound

This paper cites ICML , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ICML , year=

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.526484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.526484Z digest=sha256:5fce16ec217fcf0a383c0482b209aa2a8f538dac240d948c40874f82e2801548

Observation 7a2546bf-5597-40c4-a393-0106314ac3de · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.570513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.570513Z digest=sha256:6914fe44a2d74e826ebdb27921aae604bc8ea9139c4e8af9a6e51a6eafca5542

Observation 3f45680d-a785-4969-995c-b1a2d5af13ca · outbound

This paper cites MonoFormer: One Transformer for Both Diffusion and Autoregression.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling MonoFormer: One Transformer for Both Diffusion and Autoregression

Reference 78

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.613783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.613783Z digest=sha256:2940c4f751048b49fb0999b998abf27385ddfbfc71a8b5662a97901f5216b051

Observation 07058ce1-9d23-4cbb-be42-d132e0fb4554 · outbound

This paper cites ICLR , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ICLR , year=

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.618474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.618474Z digest=sha256:430b587f42d7dee82825d0665955ae74029f53f42ae890b0ed6168c0eaf1f963

Observation 9bb8db5c-2e5a-438f-9886-280925bbeeed · outbound

This paper cites Causal Diffusion Transformers for Generative Modeling.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Causal Diffusion Transformers for Generative Modeling

Reference 80

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.622519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.622519Z digest=sha256:eefbcaca754de121f58d8e270e35f30c99f56a61f5fb599532d03e6042337b27

Observation 80c73408-bda4-44a6-8007-2e211e27ecce · outbound

This paper cites ECCV , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ECCV , year=

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.626870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.626870Z digest=sha256:48c7164bbab2a8aceac7b25ddd13994ac19399aad2f3c8ce9cc6a26fec22ae0f

Observation 0e5c7cda-c69e-4372-ad07-672e4c8ec00f · outbound

This paper cites MICCAI , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling MICCAI , year=

Reference 82

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.630929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.630929Z digest=sha256:715d94c7390e1f22bf41522542637c64e881ea272cc4daa436dd8d1a91442dcb

Observation 7bc6196f-ddbb-4034-aed4-3936a875fd3c · outbound

This paper cites Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Deep Compression Autoencoder for Efficient High-Resolution Diffusion Models

Reference 83

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.634701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.634701Z digest=sha256:4c3a672a0a7820b6afd8456c167c7a663f5a0ebe8ececef1a9da185aefd442f3

Observation f8d90475-aa67-4be3-8df4-c3e9eb2cca18 · outbound

This paper cites Proceedings of Machine Learning and Systems , volume=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Proceedings of Machine Learning and Systems , volume=

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.639064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.639064Z digest=sha256:8d22aac19a6075fd71b61e514862c80daa71e8bdebe58e07421c94aab63baed2

Observation 5663f742-a6a3-49fb-9c7f-91226002f6cd · outbound

This paper cites 2002 , publisher=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling 2002 , publisher=

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.642779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.642779Z digest=sha256:cf93e61caa7b04b92bee2bb9a42a628141d9c1f863ed34cfc3095ed984dd51c0

Observation d0810b2e-97c9-4f0a-a459-44333a8a420b · outbound

This paper cites NeurIPS , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling NeurIPS , year=

Reference 86

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.647990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.647990Z digest=sha256:d0fb5bec13e1fc26fed9c9552c0b471b0698eb80ba37931b34f30c6424b68036

Observation 1b739a28-e5d2-4f43-a1a9-94885e060fc3 · outbound

This paper cites Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Evaluation: from precision, recall and F-measure to ROC, informedness, markedness and correlation

Reference 87

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.651698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.651698Z digest=sha256:79a6d59ccce6fb3bfbe16238a8f81f78fd32f5485636e52c98fdff554ed6e1cc

Observation 555acbd6-cdb7-4ea1-8cd2-f67580410e5a · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.655232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.655232Z digest=sha256:6c2bc31ccc1bb9d7d7e4306507486520c1b768e5eec1c271ca91ac9d10c19fcd

Observation 1c55581a-c32a-4690-a494-50a0592c16c0 · outbound

This paper cites an unresolved cited work.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Unresolved cited work

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.745945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.745945Z digest=sha256:427ca3d04c13c48d2be419ed2a589d5b456f436ef43a73a3ac6b4ed25a75021c

Observation 69c618fc-42e7-446e-a049-0ffec0bd4bdc · outbound

This paper cites Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Simpler Diffusion (SiD2): 1.5 FID on ImageNet512 with pixel-space diffusion

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.799380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.799380Z digest=sha256:5aa9d64a70faf74487c363703019e611a5de10104987694b2b7d6eb9032ad0cc

Observation 1629ab7f-faec-4ccc-855b-d9d43f81c017 · outbound

This paper cites Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Representation Alignment for Generation: Training Diffusion Transformers Is Easier Than You Think

Reference 91

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.803412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.803412Z digest=sha256:617af5008d97c9936477946af532be081f6bb6eee1ffc1615ae61153d4bd3ba3

Observation 299aafc6-be85-449a-aa3a-071e93332035 · outbound

This paper cites Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Reconstruction vs. Generation: Taming Optimization Dilemma in Latent Diffusion Models

Reference 92

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.808278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.808278Z digest=sha256:42118140b139c6684f911e80b48e3028c83cff3ac857cd12a2486c63dc7a6301

Observation 58b9dccb-01a1-4550-ab60-af422db73e26 · outbound

This paper cites Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling Applying Guidance in a Limited Interval Improves Sample and Distribution Quality in Diffusion Models

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.812667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.812667Z digest=sha256:11c152242234e360e32274b7e21d66a2ccca52895dbe7a0bd2851ac015099f28

Observation ab8a5693-e725-4f9d-87df-4302b29e93c7 · outbound

This paper cites ICCV , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ICCV , year=

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.912329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.912329Z digest=sha256:34f131e2faec0e0dc3fbbf1ae6fde669f1473f50a039f17491c39d7418842aa4

Observation 648619f1-ab95-45b5-84a9-24ef16b52159 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling DINOv2: Learning Robust Visual Features without Supervision

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.916417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.916417Z digest=sha256:b63a48382cbe7c207d2f0d39a93a76be8c4898f44cf4145ca416f0b5863b1deb

Observation 72569ace-1ae2-401d-a4b3-c30c67dd0731 · outbound

This paper cites ICML , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling ICML , year=

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.921242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.921242Z digest=sha256:f37770bde6476ad553e2eb6b70640ab9f9961d03daf576a646dd298066bd1981

Observation 49d31b32-b6f8-4c6b-add5-26564605184a · outbound

This paper cites CVPR , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.924977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.924977Z digest=sha256:d12adfb25eb0739416982a3b9ee971af2c5e718ce4bb70fe3da60afd5d48e296

Observation fecac4af-7170-40f9-b198-f58c7e227285 · outbound

This paper cites CVPR , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.929173Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.929173Z digest=sha256:ec2e322202c28a5bdb3659a9b1c2324d4bc24b3458fa31a4767ce68fe506b2b5

Observation 0d3de23d-3765-4046-a369-a7b0711b2cd9 · outbound

This paper cites CVPR , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=

Reference 99

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.933499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.933499Z digest=sha256:c29ea9f382d14aaa3c98e4d2c6b2188243952ece9fbf4f9fd5e7ffbc88dbf868

Observation 8327ddd5-1575-43a1-981a-4b60c9bbc248 · outbound

This paper cites CVPR , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=

Reference 100

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.937674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.937674Z digest=sha256:9c4e38a8438cdc514e5ce8effc6db0ece6b3600a8df12150770957b038fc0548

Observation ec114d58-d2e3-4e08-8ada-3b17f7b379f8 · outbound

This paper cites CVPR , year=.

XYZFlow:Scaling Multi dimensional Shortcut Flows for Efficient Generative Modeling CVPR , year=

Reference 101

Resolution
unresolved
no resolver link, observed 2026-08-16T00:18:29.941357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:18:29.941357Z digest=sha256:1a5e8c8007cc42f11ce0ee532d59d92f4b469ea7eacac0c7bf9ac2c1845ec12d

Pith citing papers

No inbound Pith citation observations are available.