Pith. sign in

Paper Citation Record · LEDGER

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation

As of 19 August 2026, this Paper Citation Record lists 70 of 70 outbound references and 0 inbound Pith citation observations for arXiv:2506.18999.

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

pith.paper-citation-record.v1
2506.18999 v1

Coverage vector

measured 70 of 70 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T18:44:38.640196Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

70 of 70 outbound references displayed

  • verified exact0
  • verified fuzzy20
  • unresolved49
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d10ad56f-20b7-48a6-a764-320b0d3a0827 · outbound

This paper cites One transformer fits all distributions in multi-modal diffu- sion at scale.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation One transformer fits all distributions in multi-modal diffu- sion at scale

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.244209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.244209Z digest=sha256:aca832529021156c6b452059447713151ff9a5e7bf4853b297d374e139670343

Observation 09a858a8-8f64-4761-9fd5-8e7dde54312f · outbound

This paper cites Video generation models as world simulators.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Video generation models as world simulators

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.248738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.248738Z digest=sha256:37313a0a9a7386629ca25dc1a59956bcae355a0779342fcf9db128de76d1aabc

Observation 31d9c724-e7d2-4888-b5e6-3527f0243779 · outbound

This paper cites Cross-layer distillation with semantic calibration.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Cross-layer distillation with semantic calibration

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.596917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.252859Z digest=sha256:bd869c9d170f7ce31b8bbbec0121d683370c62fb575991bf00fd68fe044e6f17

Observation 0795c075-9350-4a2d-84df-096bb9a07aab · outbound

This paper cites PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation PixArt-$\alpha$: Fast Training of Diffusion Transformer for Photorealistic Text-to-Image Synthesis

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.257309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.257309Z digest=sha256:333b527eb8f1579e74cf4f2e87122d4513a9df8be9019e068841f06cee7164e1

Observation 4cd509fc-59fd-4137-bc8a-10d09c3bac0d · outbound

This paper cites PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation PixArt-\Sigma: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.263438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.263438Z digest=sha256:30d6b2fe81823ba7eb717f7792b3b07a1ec9adcd552ea40fcad4f25554f07675

Observation 4a5bc4b1-3be9-4021-b6de-9bb55c260087 · outbound

This paper cites GenTron: Diffusion Transformers for Image and Video Generation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation GenTron: Diffusion Transformers for Image and Video Generation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.268537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.268537Z digest=sha256:e4c27064f03de07403475d186d1a8a0e41fbbc09e067da36f1ea585a93ecf8c1

Observation 147d0c0c-0ab1-464f-b761-ef836b300ec1 · outbound

This paper cites Pali- x: On scaling up a multilingual vision and language model,.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Pali- x: On scaling up a multilingual vision and language model,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.579506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.273632Z digest=sha256:2fec61884ae6a918e07f7b7d318f0cd961e42025e2849d4f9aa157629c65e800

Observation 341c1bcb-733c-42d5-819e-2ac44649f85f · outbound

This paper cites Scaling instruction- finetuned language models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Scaling instruction- finetuned language models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.278080Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.278080Z digest=sha256:9240aa0d3abc7f8d0db88d06126cc38f887ce3246c2016335278aa60745922f0

Observation 946e96b4-d2b9-4816-8b86-0b4ee721010e · outbound

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

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Transformers are SSMs: Generalized Models and Efficient Algorithms Through Structured State Space Duality

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.283159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.283159Z digest=sha256:e29385831aefe036bf05f3da7873dfaa288e20ba2f1f33f9972f1f8b07cf7c5b

Observation 5950ab43-4f0c-4b5f-82f3-b0bae9ecd54c · outbound

This paper cites Diffusion models beat gans on image synthesis.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Diffusion models beat gans on image synthesis

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.288396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.288396Z digest=sha256:b3753071cbc67c2f79dab0f575ce904a8c4c3a7f446029ac3ae9e89a5cf6aadd

Observation 6d78aac6-9b54-4603-a200-bc9e79211c33 · outbound

This paper cites Dimba: Transformer-Mamba Diffusion Models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Dimba: Transformer-Mamba Diffusion Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.293601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.293601Z digest=sha256:d0c113fbb7bde3503da84bf9065f289b0f932021f08323ee85333904f9566eff

Observation 15df9e22-72b3-49d4-9268-55124b7c0db0 · outbound

This paper cites Hungry Hungry Hippos: Towards Language Modeling with State Space Models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.298754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.298754Z digest=sha256:d255e415fe5e247e0dac5826a3240063c931c799bae3c2e22e25872c1839a165

Observation 1a49452b-03d6-4f0c-8385-104e2a62d911 · outbound

This paper cites Simple hardware-efficient long convolutions for se- quence modeling.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Simple hardware-efficient long convolutions for se- quence modeling

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.542856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.303637Z digest=sha256:0f1ab1e5efb2a42e420019326847d02de77d55169413a9afda74ccbc08b511e4

Observation ab2614db-bee4-43c3-946a-a1eb435a82ed · outbound

This paper cites Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion Transformers

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.319824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.319824Z digest=sha256:b20f57e3314358ae66cfb50cf3c124b33d318129258e6815287b63ef1b0f1ee5

Observation 65e47fa5-09ca-446b-b439-b44675af7668 · outbound

This paper cites Masked diffusion transformer is a strong image synthesizer, 2023.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Masked diffusion transformer is a strong image synthesizer, 2023

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.529796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.329819Z digest=sha256:e4a67d56ae6d5356f9d25a7b95c6c5d55774b8df6c33abb8c1d45a426478dca8

Observation d61578d8-2746-49da-bc12-4cdbbab43d84 · outbound

This paper cites Matten: Video Generation with Mamba-Attention.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Matten: Video Generation with Mamba-Attention

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.335567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.335567Z digest=sha256:3da0a781f1298893579cdd4412e610f9f206318fc9828aa5cb83350a0cf007dd

Observation 301ce75d-3a4c-4458-bf22-4f6f12293ef1 · outbound

This paper cites Geneval: An object-focused framework for evaluating text- to-image alignment.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Geneval: An object-focused framework for evaluating text- to-image alignment

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.342764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.342764Z digest=sha256:ca697d4386c46756ecabc52f414c3afa54592188914101ba78d788eba528c6f6

Observation bf81d307-958b-4d01-9d8f-9574fc40bf0e · outbound

This paper cites Knowledge distillation: A survey.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Knowledge distillation: A survey

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.347851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.347851Z digest=sha256:315ed8f6dfd503d8ad142fddd735ff3ce1c1b50aafa79950a6fb8f4c09a319b8

Observation c0bca4ce-6a51-431f-906c-3cc25973fd6d · outbound

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

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.353748Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.353748Z digest=sha256:861b4dabd273d2c025d2d978f72cc7248f3d8ca0dce78ae570a3ee11c33dc29a

Observation b43007ff-3101-42fd-96b9-ea668f4a4209 · outbound

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

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Efficiently Modeling Long Sequences with Structured State Spaces

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.359214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.359214Z digest=sha256:2c9b3d792ca1ed71cd0cb8d49bd6604e0e5004545169f7fc0de5208b5a6f94c4

Observation bc281e77-22ee-4749-8add-1b4933f74c61 · outbound

This paper cites State-space models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation State-space models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.491806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.364064Z digest=sha256:aa29acc22d63a3f6ef5267aa1b63057097f228afda6e737a0a12ddae4e7fb513

Observation a63b7b23-ada5-40b5-86c9-66b50b6bf0eb · outbound

This paper cites A comprehensive overhaul of feature distillation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation A comprehensive overhaul of feature distillation

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.368519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.368519Z digest=sha256:75245ac36164c3cfcb526805a0bcf125ee4455edb12f7941b7e0ba45606f5033

Observation 0a0fadcb-dbf6-4587-a785-19042dd231b7 · outbound

This paper cites Gans trained by a two time-scale update rule converge to a local nash equilib- rium.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Gans trained by a two time-scale update rule converge to a local nash equilib- rium

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.373561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.373561Z digest=sha256:575103884352aec3c79f721be10fd1a275b077579864ec256b741b6f9cfaf371

Observation 6d989004-e9d9-4cb5-a8e4-1c3f52c149f4 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Distilling the Knowledge in a Neural Network

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.378761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.378761Z digest=sha256:a9f089ea9bf572ffff25bf56342dcf84b4ac7118783bddd485905711552a09f1

Observation 31cf9810-b172-4541-bf61-91b188080cdc · outbound

This paper cites Denoising dif- fusion probabilistic models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Denoising dif- fusion probabilistic models

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.383904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.383904Z digest=sha256:af26e8df1286769cdddf86b5a07f6b81dfd658f623eee984749213a1baf7f61e

Observation 83c57675-00da-496f-b7b6-9335cbfbf50c · outbound

This paper cites Cascaded Diffusion Models for High Fidelity Image Generation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Cascaded Diffusion Models for High Fidelity Image Generation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.389809Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.389809Z digest=sha256:0b1682e2620ab78360727b08aad706eb255429bd6d923069d9a061600e7856ce

Observation da1d3a86-7009-4bfb-bf4a-40f113b33b4e · outbound

This paper cites ZigMa: A DiT-style Zigzag Mamba Diffusion Model.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation ZigMa: A DiT-style Zigzag Mamba Diffusion Model

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.394734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.394734Z digest=sha256:7859824624a25aa24c41c94491b679e4258e2cfc7a7cae35e689ebfcafcc7a63

Observation f5b6912c-5699-435d-a371-b220005b93d5 · outbound

This paper cites ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation ML-Mamba: Efficient Multi-Modal Large Language Model Utilizing Mamba-2

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.400868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.400868Z digest=sha256:1cbf292587b98a7ad3bbae84a22918b6bdc556023d69b893cdb3c7b607109f55

Observation 31c033a1-5df6-4128-95ee-b9a17438f7e6 · outbound

This paper cites Efficient movie scene detection using state-space transformers.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Efficient movie scene detection using state-space transformers

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.446412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.405564Z digest=sha256:900be268a3da3d385ad945aebf2c665b5c295e51291cae15688de26ed57189bb

Observation 5cd7fef6-4347-4687-a45c-6bf2bf02f725 · outbound

This paper cites Just chop: Em- barrassingly simple llm compression, 2024.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Just chop: Em- barrassingly simple llm compression, 2024

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.429202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.412866Z digest=sha256:32e71ebeaa1b9b35958271e4c5f7ec10bf88853715c47938e96d5c35967cc6d9

Observation 2e4e52f8-a50e-4dcf-9a29-10977337d0d3 · outbound

This paper cites Knowledge dis- tillation via route constrained optimization.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Knowledge dis- tillation via route constrained optimization

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.413940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.418824Z digest=sha256:33f630e8569a0f017951e68d960f14a1aa7efb8125bd767157b31ded500c28ac

Observation e30ada65-2aad-4c43-b9d7-d416142a2931 · outbound

This paper cites an unresolved cited work.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-15T18:44:39.397908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.426018Z digest=sha256:1dcd4cb51783d4625547db1f5b201b9b3b3f31b08dbfa2c30f2e29e8e60f1ba1

Observation 62780981-65b9-4775-9e9c-29da68c2563a · outbound

This paper cites Videomamba: State space model for efficient video understanding.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Videomamba: State space model for efficient video understanding

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.430899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.430899Z digest=sha256:446f5fee5e935afc86e5bba8db1c4375ef13c15dec0220bfc53125328266d314

Observation d42cce7d-b139-438e-a330-ab93ca19bcac · outbound

This paper cites Jamba: A Hybrid Transformer-Mamba Language Model.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Jamba: A Hybrid Transformer-Mamba Language Model

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.439733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.439733Z digest=sha256:a1059dd8394329c673b9e23eaf45537b43e3b0849be7402e8cac5a4025113f92

Observation 14b862c2-f386-4449-8ce1-62c8c7d5da28 · outbound

This paper cites Microsoft coco: Common objects in context.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Microsoft coco: Common objects in context

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.446202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.446202Z digest=sha256:75901d4eac3bd3eccb34adae07e992db696b80c7c3d82441a2e9093836035fc3

Observation cf12ec93-5e9e-4d3a-b3e8-8c43e14b608e · outbound

This paper cites LinFusion: 1 GPU, 1 Minute, 16K Image.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation LinFusion: 1 GPU, 1 Minute, 16K Image

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.453093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.453093Z digest=sha256:40d81a8a5441bca5db8b78844644bfbef78465cd5fdb2f41bad334d801aacaab

Observation 1ccf3cb2-d300-4a74-a641-21e19993b1a8 · outbound

This paper cites Instaflow: One step is enough for high-quality diffusion- based text-to-image generation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Instaflow: One step is enough for high-quality diffusion- based text-to-image generation

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.362585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.459979Z digest=sha256:d8efd8b7b299d67c7ab46086de7392b45aa47862f67ee8f0cadf6d1d39c83dca

Observation 94ab20b5-fd9c-4e64-bbaa-46c3a3b737da · outbound

This paper cites Vmamba: Visual state space model.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Vmamba: Visual state space model

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.347088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.465447Z digest=sha256:192bccc109790ed5cbde98cd8dba200ede71146a368e0411170b43693dffe336

Observation 3fed1391-a6de-4e10-adb3-9e6151ea8008 · outbound

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

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Long Range Language Modeling via Gated State Spaces

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.471525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.471525Z digest=sha256:ea12771cc1f6fe17b18260ac2d41de5c5474a71f7822cafda9f30c94b4120b16

Observation 23673296-1432-47c0-a234-6061f697c7e9 · outbound

This paper cites Lin- earizing large language models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Lin- earizing large language models

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.333951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.478235Z digest=sha256:d881d0c4a1cce4133424aa67357184c5c5bf520340846c0e31857064d123b487

Observation 1c52bade-1d42-423e-be6d-81f3a008c925 · outbound

This paper cites Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Scaling Diffusion Mamba with Bidirectional SSMs for Efficient Image and Video Generation

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.484584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.484584Z digest=sha256:42bc8eed6227c1beda9ad52e73e22c3ea8d3938c6278d9c8b1ff8e81d3f030dc

Observation 23893a81-85fe-48b6-a627-f1f122edd9fd · outbound

This paper cites S4nd: Modeling images and videos as multidimensional signals with state spaces.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation S4nd: Modeling images and videos as multidimensional signals with state spaces

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.319833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.490524Z digest=sha256:b7db885d533c8d8a5a0c8045307b61726c10758d2e52c12981d647d3b5018702

Observation c7da6f5b-d099-4093-8d6d-979d7beddf6f · outbound

This paper cites GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.496160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.496160Z digest=sha256:387b62214a00cc41d7d13e81789bb8b3f6895c454e575e159ed3f509844f0579

Observation d601f70b-5d2d-4e0c-a9f1-b195f98cbfb0 · outbound

This paper cites Glide: Towards photorealistic image generation and editing with text-guided diffusion models, 2022.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Glide: Towards photorealistic image generation and editing with text-guided diffusion models, 2022

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.502299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.502299Z digest=sha256:28577c890ce183ee7f651363d691baa439b87a229374237a6e1cb354d5b76acb

Observation 28dc476a-d208-4e29-815e-f89e673d2d64 · outbound

This paper cites Scalable diffusion models with transformers.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Scalable diffusion models with transformers

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.507006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.507006Z digest=sha256:5e36b55134bdc96cd710f8c403182943aeda7ceff54c52e3dabbcc22750f94e8

Observation 50e95542-49dd-4262-b56c-7d8adc57e634 · outbound

This paper cites RWKV: Reinventing RNNs for the Transformer Era.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation RWKV: Reinventing RNNs for the Transformer Era

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.512227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.512227Z digest=sha256:8aa936fcba91b05e018454c23c3a8d419c7d98c89c6d69ea70b3af3197546009

Observation db4dafad-2158-4edc-a780-169536b91e4c · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.517264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.517264Z digest=sha256:ecd81fdc2527467731917db9f039ae44f7f5efbdbff8a3416759ab277b4b5dbb

Observation 2d9b1f7d-4029-4036-98a8-39368707e0bb · outbound

This paper cites Hyena hierarchy: Towards larger con- volutional language models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Hyena hierarchy: Towards larger con- volutional language models

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.288767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.524498Z digest=sha256:48d4d5a42026d24faea8d32b35f91cead7ed3fbad7cea6730fd4705ef35546a5

Observation 2074047a-4425-4876-a498-4489f9b1a4e9 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.529472Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.529472Z digest=sha256:1ec962cd41e6abf26abffb04bff455db91377320cbb62e13a5822d7bddd9a44e

Observation 73e16053-56e9-4808-bfa2-22f809fd9756 · outbound

This paper cites Zero-shot text-to-image generation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Zero-shot text-to-image generation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.257442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.533872Z digest=sha256:d9965c97b39e25dd2dbbed524df2195ac4f84297923190f5d028f97fcfd72a2f

Observation cd10c6cf-4ee3-4ac9-9ae3-eec302f34632 · outbound

This paper cites High-resolution image synthesis with latent diffusion models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation High-resolution image synthesis with latent diffusion models

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.241034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.538486Z digest=sha256:041cbf9cd86074690a52bbca3a368d3f3369f8a022b9596b3ad45d8c088fd222

Observation db15ecda-4ae1-41a2-a344-78e73af25ad0 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation U-net: Convolutional networks for biomedical image segmentation,

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.546585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.546585Z digest=sha256:60ecb41bc38b40e9d5a57e83f69c76d6a74a2c5a4aa6917bb945db73e4e98301

Observation 4e976d72-6c25-4f83-b302-27ae9423c6fb · outbound

This paper cites Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Sara Mahdavi, Rapha Gontijo Lopes, Tim Salimans, Jonathan Ho, David J Fleet, and Mohammad Norouzi

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.553903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.553903Z digest=sha256:f935d961f7f558af4065b01974a5034c58672690300e3339d7587efeae6c9696

Observation 87148e25-e373-4d0c-8354-35ef4fc17470 · outbound

This paper cites Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Stylegan-t: Unlocking the power of gans for fast large-scale text-to-image synthesis

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.559957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.559957Z digest=sha256:750a4526384560c63dc0c02a5f0ca21ed1e6b915539cb32768b208bb1d5c3fab

Observation 599306f1-5d34-4a09-a780-7957605c5c31 · outbound

This paper cites Convolutional state space models for long-range spatiotemporal modeling.Advances in Neural Information Processing Systems, 36, 2024.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Convolutional state space models for long-range spatiotemporal modeling.Advances in Neural Information Processing Systems, 36, 2024

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.203109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.566507Z digest=sha256:7ddba3c1082350ed64a3d6fc206d1a4e64f90ae37025c8237519c1da557e6365

Observation c61cf94d-0f63-4f86-a451-31015abfcd6c · outbound

This paper cites DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.571021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.571021Z digest=sha256:f7da4d3f6a251f67ef051287cbb596ab4aab1c44a6dd0c56c132937d96f61235

Observation 5ca8e7e6-b5f4-475e-a456-7a03c604ff49 · outbound

This paper cites Contrastive Representation Distillation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Contrastive Representation Distillation

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.575544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.575544Z digest=sha256:8acf2e63df991afeec8eaa2f47d16357eef5fa6ffb1cd176dd734dce326cae8b

Observation 5ba07854-eba6-4806-ae19-8c40ddb60b5d · outbound

This paper cites Similarity-preserving knowl- edge distillation.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Similarity-preserving knowl- edge distillation

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.581307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.581307Z digest=sha256:ad20d653817ac63c0df90c345de838abe412e03e6dbf8e8be688a36e13a3a9cf

Observation 2ef8c214-a542-4bc5-818d-347de7fbc8a3 · outbound

This paper cites Gomez, Łukasz Kaiser, and Illia Polosukhin.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.178588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.586376Z digest=sha256:8442dbdef4c509817ea0ea1a5547f70a1b2305379c1880e8dc0f5eb0e8af51ec

Observation 27797923-01f5-4521-81c4-cd3025c63fee · outbound

This paper cites An Empirical Study of Mamba-based Language Models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation An Empirical Study of Mamba-based Language Models

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.596554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.596554Z digest=sha256:af32034ae547c1beba009aaa557a9e20c7562c4412e9b587cb74a01dc44d7be0

Observation ce3b3831-15a1-4da0-9921-c3fbb15a1eb8 · outbound

This paper cites The Mamba in the Llama: Distilling and Accelerating Hybrid Models.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation The Mamba in the Llama: Distilling and Accelerating Hybrid Models

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.601371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.601371Z digest=sha256:57ac791e406e1e8951e1a4096fd5b0fb71f8a05397dbe15de3ff6366b4c4c318

Observation 18f0c2e7-73b0-40ba-b757-729c1f187db2 · outbound

This paper cites Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.606300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.606300Z digest=sha256:6935260d4a64d542abe2634d0666f5130f6fd371d33a58ce71e96eed22bf5768

Observation b1b8309c-b54d-48b1-8d28-9a964bab2c72 · outbound

This paper cites Difffit: Un- locking transferability of large diffusion models via sim- ple parameter-efficient fine-tuning.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Difffit: Un- locking transferability of large diffusion models via sim- ple parameter-efficient fine-tuning

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.151358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.610852Z digest=sha256:5fbc4a186914ac335444aeb06e4f4683a0f716302e7e28cbbf34bed1a78f6974

Observation 520d7ec0-df33-44c1-a20e-c2025743922c · outbound

This paper cites Visual Mamba: A Survey and New Outlooks.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Visual Mamba: A Survey and New Outlooks

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.616407Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.616407Z digest=sha256:f9bff96a7227902978e5cab5375e2db6aef49858de802a34c0ce9daabfd7a6dc

Observation 5b8cf8ca-0a57-4264-8a45-ac509bf80e09 · outbound

This paper cites The hedgehog & the porcupine: Expressive linear attentions with softmax mimicry, 2024.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation The hedgehog & the porcupine: Expressive linear attentions with softmax mimicry, 2024

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.136393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.620884Z digest=sha256:067bdfa05878bcda95073854e19e0829b2b8e641b32fc22349cfed01dea1ff8c

Observation 2ea1e74c-1b51-439a-993f-34d097c7b59c · outbound

This paper cites Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient Inference

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.626227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.626227Z digest=sha256:cbdc68a327bc82de92e7774e40c6f544a8c8ba9d32c504bb49b2452e486f6b5d

Observation 3e0d5353-1c3e-471e-8f92-1bbaaa72761b · outbound

This paper cites Fast training of diffusion models with masked transformers.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Fast training of diffusion models with masked transformers

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T18:44:39.120623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-15T18:44:38.631557Z digest=sha256:0a174a648f2a9c868dfb522730850dd5058da8a6c2f541dc56c310a09eb8c04e

Observation f0c67ca5-0704-4975-a0d5-d81007622b84 · outbound

This paper cites Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Rethinking Soft Labels for Knowledge Distillation: A Bias-Variance Tradeoff Perspective

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.635832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.635832Z digest=sha256:000d7b042cebfd503bf9d2934e140c4aed9d37054208e182c8469f02821b982f

Observation c386b471-4784-4ebf-af94-c7ee25b69542 · outbound

This paper cites Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiT

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-15T18:44:38.640196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.640196Z digest=sha256:a92c729e6577f2285109f4c4c2cc44524ec5efba0df9c07b347724ea142ca94b

Observation e88f3373-26aa-4bd3-af2f-c3abfec95166 · outbound

This paper cites an unresolved cited work.

Diffusion Transformer-to-Mamba Distillation for High-Resolution Image Generation Unresolved cited work

Reference 2017

Resolution
parse uncertain
no resolver link, observed 2026-08-15T18:44:38.591667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:44:38.591667Z digest=sha256:5120f49778fff31dadcfc75730e6680b73c573fdc9d61ad1908b5535c2ef21c7

Pith citing papers

No inbound Pith citation observations are available.