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Paper Citation Record · LEDGER

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning

As of 11 August 2026, this Paper Citation Record lists 84 of 84 outbound references and 10 inbound Pith citation observations for arXiv:2412.12953.

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

pith.paper-citation-record.v1
2412.12953 v1

Coverage vector

measured 84 of 84 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:38:42.260960Z

measured 94 of 94 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T13:35:17.980889Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T04:59:36.249267Z

Reference resolution

84 of 84 outbound references displayed

  • verified exact5
  • verified fuzzy32
  • unresolved47
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4cb44208-5f43-469b-aff7-d8005705cc1b · outbound

This paper cites write newline.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning write newline

Reference 1

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no resolver link, observed 2026-08-11T13:38:41.041997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.041997Z digest=sha256:60190264db4a2e2f972ec4749823511daf067836e594fde730f5b8e21388f829

Observation 3ba8392e-6bb0-470c-83af-c81eded34920 · outbound

This paper cites Tenenbaum, Tommi S.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Tenenbaum, Tommi S

Reference 2

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no resolver link, observed 2026-08-11T13:38:41.047872Z

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source=arxiv_source observed=2026-08-11T13:38:41.047872Z digest=sha256:81e2db900d68ecce684b24181c4819e92eae63aba42b4c40a4774efd3ddee904

Observation 24857d69-50b0-4fda-8d40-1af8a4f94faf · outbound

This paper cites Compositional Foundation Models for Hierarchical Planning.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Compositional Foundation Models for Hierarchical Planning

Reference 3

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no resolver link, observed 2026-08-11T13:38:41.052641Z

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source=arxiv_source observed=2026-08-11T13:38:41.052641Z digest=sha256:737014a56a77643b8ff3f64648356028e4b5c7f4319e2890004da0498522d4e1

Observation e9296adf-604f-44c2-b7c6-67457087bdcb · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Flamingo: a visual language model for few-shot learning

Reference 4

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no resolver link, observed 2026-08-11T13:38:41.057560Z

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source=arxiv_source observed=2026-08-11T13:38:41.057560Z digest=sha256:8d3ad518a15d19fce8e7ea41e129b212e63fc587bfa0ebd25babb21769489203

Observation ed7cf9d3-f8a2-4ae2-9a0b-2096150cfe95 · outbound

This paper cites Roboagent: Generalization and efficiency in robot manipulation via semantic augmentations and action chunking, 2023.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Roboagent: Generalization and efficiency in robot manipulation via semantic augmentations and action chunking, 2023

Reference 5

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no resolver link, observed 2026-08-11T13:38:41.061947Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T13:38:41.061947Z digest=sha256:66b8f85d3fac2d99b48a12c74fb248d368f6928cb05018738a1893d35c4c6bfb

Observation 45a35a21-84bd-4e4b-865c-e152762c9863 · outbound

This paper cites Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models

Reference 6

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no resolver link, observed 2026-08-11T13:38:41.066897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.066897Z digest=sha256:c195585a603d51a1fcb0ad41ccb43b8af65758b83afa35a0b75c579233926cb6

Observation 9c364233-a17e-4b1d-9306-c4cba5d0fe71 · outbound

This paper cites Information maximizing curriculum: A curriculum-based approach for learning versatile skills.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Information maximizing curriculum: A curriculum-based approach for learning versatile skills

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-11T13:38:44.060592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.071543Z digest=sha256:7243d4a8d1547a86bfa08a7cc86123c05c9d63dd34b3363bac22ab63cda5c34a

Observation 8e027929-5df1-47ac-a6cb-cd39d2306485 · outbound

This paper cites RT-1: Robotics Transformer for Real-World Control at Scale.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning RT-1: Robotics Transformer for Real-World Control at Scale

Reference 8

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source=arxiv_source observed=2026-08-11T13:38:41.076098Z digest=sha256:2838103491c94988358b0b45972538dd8bfce0a8c5afb62ac0145c9d1f1cda6e

Observation d2f43dcf-3eab-497d-80b0-bbe697b6ac30 · outbound

This paper cites RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Reference 9

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source=arxiv_source observed=2026-08-11T13:38:41.081209Z digest=sha256:032c93bcc9561e544f0d57712ec9ec57d1fded5d665c40610110edf593c47c79

Observation fb214aff-03c9-4672-b209-1f0c04c68084 · outbound

This paper cites an unresolved cited work.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Unresolved cited work

Reference 10

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unresolved
no resolver link, observed 2026-08-11T13:38:41.087406Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.087406Z digest=sha256:652a87ecf01ce59b2b23c7f7d2abd2a01f728871298c4e08ee64f787804d95a1

Observation 885580b3-f1ed-43ba-9701-8b5cf9412c70 · outbound

This paper cites Motion planning diffusion: Learning and planning of robot motions with diffusion models.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Motion planning diffusion: Learning and planning of robot motions with diffusion models

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.126589Z digest=sha256:587738e5247c55ed4ca30a61c3b0b408a013826fd4a030b080f04dcdb892fa5b

Observation a0186723-71f5-4c05-a564-b9d7c7125888 · outbound

This paper cites Specializing versatile skill libraries using local mixture of experts.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Specializing versatile skill libraries using local mixture of experts

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:44.018654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.169622Z digest=sha256:725e69fa44f3ba972468121e7bcbab529ccd2b2b3a96d330e239d69c0acfdd17

Observation dbb70760-bbbf-4c27-9737-b62979c80738 · outbound

This paper cites Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Acquiring Diverse Skills using Curriculum Reinforcement Learning with Mixture of Experts

Reference 13

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verified exact
local_arxiv, observed 2026-08-11T13:38:42.959875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.208364Z digest=sha256:c21794cbe81d98c8a89936d6003530ae1faaa8492705fd741d1b0bae734a3a13

Observation e0cd91c2-28b6-4022-875d-985dcda8a2a6 · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Diffusion policy: Visuomotor policy learning via action diffusion

Reference 14

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source=arxiv_source observed=2026-08-11T13:38:41.281480Z digest=sha256:86334261bd881cd696df9cd8867c6a328f2d7a5f95b488e32895b589e785c02f

Observation 7759360f-5c20-4cc4-bfad-bb735cbb96c1 · outbound

This paper cites On the representation collapse of sparse mixture of experts.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning On the representation collapse of sparse mixture of experts

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.993833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.323579Z digest=sha256:281d0555e92b78b10f28c64c6f1bbf47121f3e9e90892aef33d684c8b33fd6f9

Observation 2fa416a8-ca4a-4ea5-89ae-0f7b0dc28901 · outbound

This paper cites Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Open X-Embodiment: Robotic Learning Datasets and RT-X Models

Reference 16

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no resolver link, observed 2026-08-11T13:38:41.327698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.327698Z digest=sha256:cadf32161527789ecac1a005e4d5b619dabd276ea245c3b32857121e957c3fa6

Observation 33ccac7e-5b11-4e7a-904a-952d978741b7 · outbound

This paper cites From play to policy: Conditional behavior generation from uncurated robot data.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning From play to policy: Conditional behavior generation from uncurated robot data

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.978280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.332282Z digest=sha256:78d89bf9db971a492ac1687f63f30b31c230ca5d4082150396e0b88928141475

Observation b486c379-5b9d-41e6-98a8-6a41da13f093 · outbound

This paper cites an unresolved cited work.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Unresolved cited work

Reference 18

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-11T13:38:41.337608Z digest=sha256:42fcc8feba18444cb774407ddf8f3bdb60d2371fee97f2dcb0c36c0af3b5ba2c

Observation 0a7172b6-2158-4380-aff3-15c7fcd00fe5 · outbound

This paper cites Learning Universal Policies via Text-Guided Video Generation.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Learning Universal Policies via Text-Guided Video Generation

Reference 19

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no resolver link, observed 2026-08-11T13:38:41.342029Z

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source=arxiv_source observed=2026-08-11T13:38:41.342029Z digest=sha256:9b951d6c797fa27cb70c6061e4eed65dad1be30450c0c1bb282449ebee1618dc

Observation cebdf4aa-f182-4023-9cf1-1e0676cb8556 · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity

Reference 20

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no resolver link, observed 2026-08-11T13:38:41.347045Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.347045Z digest=sha256:2384874419e701141f6b569b60adb4874715170b1f1e9d9439d03908faa8741e

Observation 8b9b5d10-da96-4a03-a25b-ee81d71e9ba1 · outbound

This paper cites Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation

Reference 21

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no resolver link, observed 2026-08-11T13:38:41.351621Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.351621Z digest=sha256:c88042445bce26ea9c7915f135a1f6d4d1dfd8360b5a1c7fdedf59adb28ffb16

Observation 2dce407a-3e7c-4a02-ba9a-880778167c80 · outbound

This paper cites Towards practical plug-and-play diffusion models.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Towards practical plug-and-play diffusion models

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.911590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.356507Z digest=sha256:b759bea31ade27bd205578d08958f90795beda22c916e0d0e6237c18b8155e57

Observation 56396dd3-3977-446e-a1c1-40bb6df6ba18 · outbound

This paper cites Rt-trajectory: Robotic task generalization via hindsight trajectory sketches.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Rt-trajectory: Robotic task generalization via hindsight trajectory sketches

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.851753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.360817Z digest=sha256:6c0079e1292b501a7e7a340fb936c11c89dc20fd39fca79aca4d6dae1d88b6d6

Observation 2e4d56bd-0fb8-48ca-a48b-ebca05278f65 · outbound

This paper cites Efficient diffusion training via min-snr weighting strategy, 2024.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Efficient diffusion training via min-snr weighting strategy, 2024

Reference 24

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verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.812201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.364844Z digest=sha256:05f3a4c3e2ec2d18bdede128ca2246dbfb086c2133e496087675e752b8b93297

Observation b681988d-af92-4883-b3df-82404aefc208 · outbound

This paper cites Hierarchical policy blending as inference for reactive robot control.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Hierarchical policy blending as inference for reactive robot control

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.797702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.368954Z digest=sha256:7b01633eadfd2214fec2be412f8b7515e693ea57559009982daa62b2c6f21d68

Observation f67759c2-a3a3-4cfe-9a48-9e6c85993b7e · outbound

This paper cites DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning DSelect-k: Differentiable Selection in the Mixture of Experts with Applications to Multi-Task Learning

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-11T13:38:42.886861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.373253Z digest=sha256:ab43c32428f5aebd9cb95f0fa6d2e78cbd099751ec5b7968609c8e9ff1535fd1

Observation 99a6c6c1-c288-4bb4-a0c7-aaf3ebb30cef · outbound

This paper cites Denoising diffusion probabilistic models.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Denoising diffusion probabilistic models

Reference 27

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no resolver link, observed 2026-08-11T13:38:41.377677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.377677Z digest=sha256:6946067cbfa74e189a673457df14de4fca42eb6696daa0f4d6f37e3c6828e5af

Observation d77cc86a-2433-49d4-a3b0-bb7be02ec1eb · outbound

This paper cites Planning with diffusion for flexible behavior synthesis.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Planning with diffusion for flexible behavior synthesis

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.772418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.381904Z digest=sha256:e0ed5749f1f86ba3aa06863c68190b3896092a0da3c0f347df7d680001ad538c

Observation 1361db0b-814d-49d5-8850-00a467f590ee · outbound

This paper cites Towards diverse behaviors: A benchmark for imitation learning with human demonstrations.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Towards diverse behaviors: A benchmark for imitation learning with human demonstrations

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.757457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.386201Z digest=sha256:eefc5735caac225a559e7ffd4160b383cd702e3551fdfcd8a6566940006ed00a

Observation b05d4623-62d6-43ac-8548-595641719fa1 · outbound

This paper cites Mixtral of Experts.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Mixtral of Experts

Reference 30

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no resolver link, observed 2026-08-11T13:38:41.390072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.390072Z digest=sha256:16a5a682bad3664f696f7bfabdcb29a15fd71b6bd3f9cef709d3ff3f337a13d6

Observation 095b88dc-5a29-4153-be94-54b5033b73f3 · outbound

This paper cites Elucidating the design space of diffusion-based generative models.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Elucidating the design space of diffusion-based generative models

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.741870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.394618Z digest=sha256:96205dc56e25d409d4f5dd5b9381dde18dfd38f7729cae923421cad7dea4418e

Observation a8ec20bb-fd4a-4c61-ba82-ee7059193eaf · outbound

This paper cites 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning 3D Diffuser Actor: Policy Diffusion with 3D Scene Representations

Reference 32

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unresolved
no resolver link, observed 2026-08-11T13:38:41.399251Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.399251Z digest=sha256:c548e1e54f6d5981e68e7ca8acc4bf4a42805254fe2a8bcd89dc5cb5bb0b9dac

Observation a5f150c8-0658-439b-8bae-3447c74a74dc · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning OpenVLA: An Open-Source Vision-Language-Action Model

Reference 33

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unresolved
no resolver link, observed 2026-08-11T13:38:41.403879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.403879Z digest=sha256:bf007de45ac0e891acf641329539dd35dc16ed6cf8d7bbcec763bd6ce5d540c5

Observation e26dbd9d-5981-46e6-93b9-b106af4d2f52 · outbound

This paper cites Learning to Act from Actionless Videos through Dense Correspondences.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Learning to Act from Actionless Videos through Dense Correspondences

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-11T13:38:41.408284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.408284Z digest=sha256:5ff0d72663ab259154a3dc9450368eb25fc699a3e573d7286c4562fc80da022f

Observation d4db5cad-77ac-4fd5-a4e1-310c5e2226b8 · outbound

This paper cites Hierarchical policy blending as optimal transport.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Hierarchical policy blending as optimal transport

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.727695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.451711Z digest=sha256:ec949182151c2aee9e03516f58e95371924ad5bc95ffa624156ec3203d9a16b4

Observation fa93655a-cd88-4338-ba91-d86c25b6ed83 · outbound

This paper cites Behavior Generation with Latent Actions.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Behavior Generation with Latent Actions

Reference 36

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source=arxiv_source observed=2026-08-11T13:38:41.490873Z digest=sha256:e240b0a5281a1b8c348da6987ef103fadae17ceb7bcc5a6c97e04d5bcc12cf44

Observation 68921f86-329d-4be0-ac98-6c8a606dc159 · outbound

This paper cites Multi-architecture multi-expert diffusion models.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Multi-architecture multi-expert diffusion models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.712676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.535311Z digest=sha256:f04fe7ab356fc63d56140e7cb53b162683b1ebd51dd9faf031fa485b875e31e6

Observation a7a4c2b5-bd90-4a96-90fc-202b7499d643 · outbound

This paper cites Base layers: Simplifying training of large, sparse models, 2021.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Base layers: Simplifying training of large, sparse models, 2021

Reference 38

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no resolver link, observed 2026-08-11T13:38:41.618958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.618958Z digest=sha256:d9f094b2e8e7ba238c1bda4d9d17a178fe09dd8063b43cee9d7c82684820f734

Observation aecdba36-08d8-4970-856d-ba8941d56a0b · outbound

This paper cites Curriculum-based imitation of versatile skills.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Curriculum-based imitation of versatile skills

Reference 39

Resolution
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no resolver link, observed 2026-08-11T13:38:41.624271Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.624271Z digest=sha256:ab519d0b1f4de7dc523d46aca9d7f4d66ca18799aa2baf46d8f6e26aaf34c6a0

Observation 36f3cae5-10c9-4374-98ea-bcf21d0bbf71 · outbound

This paper cites Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Crossway Diffusion: Improving Diffusion-based Visuomotor Policy via Self-supervised Learning

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-11T13:38:42.621966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.629606Z digest=sha256:23206f471a398fb3e8add7e3a61575931250e247a75f0c9e2ba0edbea8cfe3ad

Observation d70ad9c2-233d-44b5-bcd1-63110d5a7d16 · outbound

This paper cites Vision-language foundation models as effective robot imitators.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Vision-language foundation models as effective robot imitators

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.687362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.635135Z digest=sha256:ebbb0a044e953ff513fb88aec7d767759c341bc8d611d875b18868e113715db9

Observation 9c021be0-99e8-4622-9bbe-8725d7432ea6 · outbound

This paper cites Evaluating Real-World Robot Manipulation Policies in Simulation.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Evaluating Real-World Robot Manipulation Policies in Simulation

Reference 42

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no resolver link, observed 2026-08-11T13:38:41.642140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.642140Z digest=sha256:19e8cb2e861d15cd4c97a4a609eb0e1ee8d8593651ada4f75a91d052b4090c51

Observation 3dc8bc79-0806-4180-bfc7-610c4fef07fe · outbound

This paper cites LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Reference 43

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no resolver link, observed 2026-08-11T13:38:41.647765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.647765Z digest=sha256:5b1a00f36d6d1b79e8c7fea365a5b716a0fa10603a48fb3b5190466aeb8e079a

Observation 04bc3728-daa0-4d2e-8bbd-f27a638b67ec · outbound

This paper cites Learning latent plans from play, 2019.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Learning latent plans from play, 2019

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.670869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.652368Z digest=sha256:9d7c196a573b8c59ddb2911705682e31dc16ab8b1a2f424666c78fc3a9205564

Observation 2d58bc50-dc10-476d-b17c-b575db6849ad · outbound

This paper cites Choosing smartly: Adaptive multimodal fusion for object detection in changing environments.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Choosing smartly: Adaptive multimodal fusion for object detection in changing environments

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.561714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.657064Z digest=sha256:191741319d27ca9d82bd6be0f4e670862f3f71291d87abfd3955c87f1e589bed

Observation 75c9c0b5-71a9-4d12-b5c8-5c7e1e6b75ed · outbound

This paper cites What matters in language conditioned robotic imitation learning over unstructured data.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning What matters in language conditioned robotic imitation learning over unstructured data

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.505483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.661723Z digest=sha256:57fa9b9eaf543ba83a85679d024c7c03657cf240055b73a30732559b45c77904

Observation 7e175dca-3877-41fe-af12-9f0e1f0f8acd · outbound

This paper cites Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Calvin: A benchmark for language-conditioned policy learning for long-horizon robot manipulation tasks

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.490287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.666653Z digest=sha256:10fa84af6fe3e26880f17651bd7d0ce6014b7075e916931d981c35f389e74d55

Observation d279eb44-77cc-4f50-be13-d1e106aaa76d · outbound

This paper cites QueST: Self-Supervised Skill Abstractions for Learning Continuous Control.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning QueST: Self-Supervised Skill Abstractions for Learning Continuous Control

Reference 48

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.671562Z digest=sha256:0bc9cf02d5591ca44da14709c804dab62ccd3961fa4b3d1d432f9c03629136aa

Observation 2e653f67-c5de-4062-8d34-968a69460977 · outbound

This paper cites OLMoE: Open Mixture-of-Experts Language Models.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning OLMoE: Open Mixture-of-Experts Language Models

Reference 49

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unresolved
no resolver link, observed 2026-08-11T13:38:41.677223Z

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source=arxiv_source observed=2026-08-11T13:38:41.677223Z digest=sha256:0ce47c897c5d27e20e5ce61367b01923e9a4b5b9c4376cb36afb17d0fe2de28f

Observation f4e3ba09-ba7c-4692-901f-8b7b80519dc9 · outbound

This paper cites Combining self-supervised learning and imitation for vision-based rope manipulation.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Combining self-supervised learning and imitation for vision-based rope manipulation

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.475567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.682531Z digest=sha256:76a7470c9560d83350d9e76bf956c486abe4b1cffa3d13a0a14ba8b80e20905e

Observation 3694bde1-8931-412a-8f21-b089b5cb78ac · outbound

This paper cites Mixtures of Experts Unlock Parameter Scaling for Deep RL.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Mixtures of Experts Unlock Parameter Scaling for Deep RL

Reference 51

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no resolver link, observed 2026-08-11T13:38:41.687615Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.687615Z digest=sha256:5b315109891c6b00af0a114cf9d97277b41145f35ecdec4e78a5f7e000109ab4

Observation b2e59edc-70d1-45cf-9317-4fa3a8fd328b · outbound

This paper cites Octo: An open-source generalist robot policy.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Octo: An open-source generalist robot policy

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.460341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.692327Z digest=sha256:fdad64f274fa56605919c4558bd0d9d6357d6bf2f60f31b9266411a8861611cd

Observation 39edcbe2-0ece-468f-bc51-0be38b3cb92e · outbound

This paper cites The surprising effectiveness of representation learning for visual imitation, 2021.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning The surprising effectiveness of representation learning for visual imitation, 2021

Reference 53

Resolution
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no resolver link, observed 2026-08-11T13:38:41.697288Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.697288Z digest=sha256:1e62e04fcea1d78b69fda6079710eb9545e5334f597e2e56bb928eb53d86e374

Observation 7dc5a3f8-a964-480b-80f3-de0d652e6a1d · outbound

This paper cites The Surprising Effectiveness of Representation Learning for Visual Imitation.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning The Surprising Effectiveness of Representation Learning for Visual Imitation

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T13:38:41.702143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.702143Z digest=sha256:4a45faf637696af094b02f25a0fe62f156983f02eb71fb52d462a5de21f4673f

Observation f7f2ddfd-1233-41ba-9ece-31ce67eb62ee · outbound

This paper cites Denoising Task Routing for Diffusion Models.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Denoising Task Routing for Diffusion Models

Reference 55

Resolution
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no resolver link, observed 2026-08-11T13:38:41.706201Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.706201Z digest=sha256:aa0a389f3383ada615b52f6124149538221b494a9d317a0fa4b16c578d124afe

Observation 1908fd95-498d-4d85-b410-b80a5f15b485 · outbound

This paper cites Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Switch Diffusion Transformer: Synergizing Denoising Tasks with Sparse Mixture-of-Experts

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-08-11T13:38:42.462627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.711111Z digest=sha256:ed3c8d047a5e441e99897856a561d3e07e3b5dc2fb43a9c5a344fd878bab5e5c

Observation 269d4811-27b0-48ab-b046-25423da1552c · outbound

This paper cites Scalable diffusion models with transformers.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Scalable diffusion models with transformers

Reference 57

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no resolver link, observed 2026-08-11T13:38:41.747074Z

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source=arxiv_source observed=2026-08-11T13:38:41.747074Z digest=sha256:e2708a2f7afacb3ec6fba11bd1a519224bcaaf8e79cf2bce75ff802de86ba3cb

Observation bb3b824a-12f7-402a-9f4f-7d7860578a91 · outbound

This paper cites Film: Visual reasoning with a general conditioning layer.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Film: Visual reasoning with a general conditioning layer

Reference 58

Resolution
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no resolver link, observed 2026-08-11T13:38:41.816075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:41.816075Z digest=sha256:3650e3289473111887d4b12c4346991738af391117da11c663e62c1d15c8709f

Observation baf652d7-4358-4c59-aefc-9652d079f613 · outbound

This paper cites Alvinn: An autonomous land vehicle in a neural network.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Alvinn: An autonomous land vehicle in a neural network

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.413156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.894659Z digest=sha256:46adf484e45e9cbd0cab6751350688b78e51f33d25d19ae5dbe1ff443e61d61a

Observation 5a37bcb8-0cf3-46fe-8be6-3260f23f80ed · outbound

This paper cites Goal conditioned imitation learning using score-based diffusion policies.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Goal conditioned imitation learning using score-based diffusion policies

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.398081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:41.964380Z digest=sha256:905ad90669a4c81734560f41fae75661166d0bb24dbbf8616452ffe57e2a396c

Observation b94148bb-bcd3-4da4-bd60-c15aba85efd8 · outbound

This paper cites Multimodal diffusion transformer: Learning versatile behavior from multimodal goals.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Multimodal diffusion transformer: Learning versatile behavior from multimodal goals

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.382932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:42.004806Z digest=sha256:4971053dc6743f156bc742202484e4937fcd833d8ea550efac3b9ccef25727fe

Observation 2731dbcf-2411-435d-a052-1bb51887bd08 · outbound

This paper cites Scaling vision with sparse mixture of experts, 2021.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Scaling vision with sparse mixture of experts, 2021

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.367325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:42.009415Z digest=sha256:1b2896173d902c0917ba8ef500a067adc5890ed5a739ec1ad2081e7b31c9b5bb

Observation e52a3f5d-5c7d-4d63-b82d-710d619f4813 · outbound

This paper cites Hash Layers For Large Sparse Models.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Hash Layers For Large Sparse Models

Reference 63

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no resolver link, observed 2026-08-11T13:38:42.014505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:42.014505Z digest=sha256:24a2cb4673462a145f1568016497d2f692fa8a7d7376ec2c1c01668eccbb0292

Observation 49ad3cbe-6cc3-45e5-96d0-5581ac94b03e · outbound

This paper cites Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Movement Primitive Diffusion: Learning Gentle Robotic Manipulation of Deformable Objects

Reference 64

Resolution
verified exact
local_arxiv, observed 2026-08-11T13:38:42.423993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:42.018750Z digest=sha256:9efa837cbbadd4d0b11cdab8713936d1af562db3014fce636a325b2669d01a72

Observation de171437-d0b1-4583-9943-9105d15154cf · outbound

This paper cites Behavior transformers: Cloning k modes with one stone.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Behavior transformers: Cloning k modes with one stone

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.350688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:42.023500Z digest=sha256:b55edeaed6f1d7f6588f74a24d06351793e9a48f45939c86b8eba9a4d244449e

Observation 39dd298c-5a10-40b2-a0a2-34d46a49001e · outbound

This paper cites Outrageously large neural networks: The sparsely-gated mixture-of-experts layer, 2017.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Outrageously large neural networks: The sparsely-gated mixture-of-experts layer, 2017

Reference 66

Resolution
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no resolver link, observed 2026-08-11T13:38:42.029084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:42.029084Z digest=sha256:d7b30f16954f789ec8194e2834050216161015d81aa254d1d6708d70cf8465b6

Observation ae000033-20fc-4500-b1d3-8c1b4d35e22d · outbound

This paper cites Denoising diffusion implicit models.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Denoising diffusion implicit models

Reference 67

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no resolver link, observed 2026-08-11T13:38:42.033705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:42.033705Z digest=sha256:6d6e921755bb71609a357a5a158ed5a8ddc53f65150d24de0d4f84a4c6d9b75b

Observation 3d0ab0bd-4e5f-48ae-8e53-1f9ae54e2f41 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Generative modeling by estimating gradients of the data distribution

Reference 68

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no resolver link, observed 2026-08-11T13:38:42.038543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:42.038543Z digest=sha256:0b9b27e1946439a76ef00540031428a5023ec8d2d7468f11e456d5e797f632fe

Observation 1b907127-6878-47c6-b042-06c5f78addee · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Score-based generative modeling through stochastic differential equations

Reference 69

Resolution
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no resolver link, observed 2026-08-11T13:38:42.042923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:42.042923Z digest=sha256:523f5b615f1b5b96c46e924dc38ce73648145691f3d355065b6f81094ebd81f4

Observation f496f032-f504-4de2-8fef-17ebb8fe47da · outbound

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

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning LLaMA: Open and Efficient Foundation Language Models

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-11T13:38:42.047194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:42.047194Z digest=sha256:21b406ab6fb4b443465b1321d46c4ed9a551b2dc5e2a08d214cc728eb78eb26e

Observation e76e9ad0-5a19-48c5-9159-981453ac1159 · outbound

This paper cites Se (3)-diffusionfields: Learning smooth cost functions for joint grasp and motion optimization through diffusion.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Se (3)-diffusionfields: Learning smooth cost functions for joint grasp and motion optimization through diffusion

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.277972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:42.052207Z digest=sha256:2a755f916b599454eb978ca1ea104cde4e43c35fd127b119a9031fc9b68ac5d4

Observation 8027e9f0-67d7-407c-845b-4fd7e2ba68b6 · outbound

This paper cites Attention is all you need.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Attention is all you need

Reference 72

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:42.057075Z digest=sha256:ae6a4191fd58b631b4a1032d6ed3aa50a04d3bb1acbe2968bf3d901ff1b4a90b

Observation 738d51c6-6b0c-44d0-9996-e9c484e2bc8c · outbound

This paper cites A connection between score matching and denoising autoencoders.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning A connection between score matching and denoising autoencoders

Reference 73

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source=arxiv_source observed=2026-08-11T13:38:42.099491Z digest=sha256:9d2efeb656f49c735be938f7de40e2926c3e49c0b1af8e5a4d2b1476bde52890

Observation 579aa66b-5911-4d90-84e9-6c2e83c05b91 · outbound

This paper cites Bridgedata v2: A dataset for robot learning at scale.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Bridgedata v2: A dataset for robot learning at scale

Reference 74

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no resolver link, observed 2026-08-11T13:38:42.164181Z

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source=arxiv_source observed=2026-08-11T13:38:42.164181Z digest=sha256:2f39d49344871ecadda6516dcc92171aa09d1d00fe68786b358214e325bd2da9

Observation 2fdaa947-51d1-4387-a2d5-0bdf96c445e7 · outbound

This paper cites Tenenbaum, Chuang Gan, and Daniela Rus.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Tenenbaum, Chuang Gan, and Daniela Rus

Reference 75

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verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.188131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:42.214624Z digest=sha256:4aa60d7ef2f0c2c3e7d4feeef182ec5575cd988e7c218d30700ebfe89dbdfd30

Observation eaaf4373-fa2c-42d5-9f66-7712db223dfe · outbound

This paper cites Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Sparse Diffusion Policy: A Sparse, Reusable, and Flexible Policy for Robot Learning

Reference 76

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source=arxiv_source observed=2026-08-11T13:38:42.219507Z digest=sha256:64bb98cbd492f4f28a29ba3e0ed27b6073c28ff8f5b0b32790db2b0b7dd33054

Observation 16fec2fd-b710-47d1-8302-99153684918d · outbound

This paper cites Unleashing large-scale video generative pre-training for visual robot manipulation.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Unleashing large-scale video generative pre-training for visual robot manipulation

Reference 77

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verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.115255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:42.225097Z digest=sha256:c6ec1d36767045771274ab765909eea936300ea7f533a372b1b3148d4a3f9238

Observation 1397dd26-348c-4c0b-ac39-50c4e5593cc2 · outbound

This paper cites Chaineddiffuser: Unifying trajectory diffusion and keypose prediction for robotic manipulation.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Chaineddiffuser: Unifying trajectory diffusion and keypose prediction for robotic manipulation

Reference 78

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verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.099989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:42.229913Z digest=sha256:629e3886522a56f86808cdb3709be07c030f0b64651aafe3d8cc3352a1756fb8

Observation 4c625208-8036-4bf4-b761-267fb21e6e09 · outbound

This paper cites Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 79

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source=arxiv_source observed=2026-08-11T13:38:42.234764Z digest=sha256:f68f642c5b48b715091de6372f772cc50dae67f7193b39af0ca826e4eeb37b19

Observation ea1002b6-c0cb-40ae-a932-1e00398fc434 · outbound

This paper cites Mixture-of-experts with expert choice routing, 2022.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Mixture-of-experts with expert choice routing, 2022

Reference 80

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verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.085092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:42.240151Z digest=sha256:5c14cd9722db0a18d23dd21ae451e5c531729b4fa2433663cedafc6f73775de7

Observation c7649ae7-ba09-40a8-998b-59b515605fa6 · outbound

This paper cites RT -2: Vision-language-action models transfer web knowledge to robotic control.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning RT -2: Vision-language-action models transfer web knowledge to robotic control

Reference 81

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verified fuzzy
raw_fallback, observed 2026-08-11T13:38:43.070046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T13:38:42.245310Z digest=sha256:3b569eba41259de0403d54e052acec2b513817ef9df8ad4a8aafce4f5ada9ce4

Observation d1dfb97a-e789-49bf-a56d-20ead0b38c26 · outbound

This paper cites @esa (Ref.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning @esa (Ref

Reference 82

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source=arxiv_source observed=2026-08-11T13:38:42.251180Z digest=sha256:8c8099245c8e4f8a9f07355d3503f93d6f52c588739af28d1e33fe3218492955

Observation 719d80dc-8980-4afd-99fc-1f1870012437 · outbound

This paper cites an unresolved cited work.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Unresolved cited work

Reference 83

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source=arxiv_source observed=2026-08-11T13:38:42.256492Z digest=sha256:58899e4c012628bbc494b5acd6a9ff2c829bd8ef9271e5cae987eb0cb09e2c8c

Observation cffb6606-12e7-43e9-a938-919f6ce9196b · outbound

This paper cites an unresolved cited work.

Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning Unresolved cited work

Reference 84

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:38:42.260960Z digest=sha256:86cfa352a9f7f5fa373f26c46bd871303f22982b6532b31e22eba53479d448eb

Pith citing papers

Observation 7017187b-85e5-45de-b4e9-08d49bc5bd47 · inbound

RoboBERT: An End-to-end Multimodal Robotic Manipulation Model cites this paper.

RoboBERT: An End-to-end Multimodal Robotic Manipulation Model Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning

Reference 28

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source=pdf_text observed=2026-08-08T13:35:17.980889Z digest=sha256:408eca15b3973d3b75f8f963924a88d92c542da3cde820bbefe7315754a590d1

Observation 5fb243e5-1d95-4546-b2fb-4aa324e0c279 · inbound

Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better cites this paper.

Knowledge Insulating Vision-Language-Action Models: Train Fast, Run Fast, Generalize Better Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning

Reference 38

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no resolver link, observed 2026-08-07T12:45:23.666609Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:45:23.666609Z digest=sha256:74954e7f83b3c9ffb099962aec9c42b4c82171b1d0291ebc6240fff5d0871aa1

Observation 69b7fd5e-aa5d-45b8-837b-e242b46cb7ac · inbound

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges cites this paper.

Robotic Manipulation via Imitation Learning: Taxonomy, Evolution, Benchmark, and Challenges Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning

Reference 133

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no resolver link, observed 2026-08-05T16:55:52.422823Z

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source=pdf_text observed=2026-08-05T16:55:52.422823Z digest=sha256:8c8322ad782f9dc438c26107b4f44c429743f4f206e6c068a2d8b0a1918587ff

Observation 5dd8f8a1-17f2-45d0-9462-5244ee602b1f · inbound

Continually Evolving Skill Knowledge in Vision Language Action Model cites this paper.

Continually Evolving Skill Knowledge in Vision Language Action Model Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning

Reference 31

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verified exact
arxiv_id, observed 2026-05-17T06:04:09.237209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-17T06:02:31.638120Z digest=sha256:cc20817e8138fbe0280cf397a53b6071ae41b7514fd2552a7bdc19a374f33272

Observation 4f2dddce-b16a-48a5-9f3e-938ab45d7746 · inbound

Horizon Activation Mapping for Neural Networks in Time Series Forecasting cites this paper.

Horizon Activation Mapping for Neural Networks in Time Series Forecasting Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning

Reference 9

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no resolver link, observed 2026-08-03T12:40:56.446985Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T12:40:56.446985Z digest=sha256:847ef6650d30a6fdb7232236e4ed028abbcf7c8cd1ff00beac1c34b1a2abb099

Observation 38e9eb5c-a576-4b53-812e-d3b51587e8c2 · inbound

Supervised Mixture-of-Experts for Surgical Grasping and Retraction cites this paper.

Supervised Mixture-of-Experts for Surgical Grasping and Retraction Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning

Reference 31

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verified exact
arxiv_id, observed 2026-05-16T09:30:48.158082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-16T09:30:17.251223Z digest=sha256:0a425146c38b935963d29c8be8c10a8d0f1e444fc82db6ffd07c62c1a1a27b9f

Observation 8196435a-8dbe-46a9-bee6-9c98e2437fb0 · inbound

Diffusion Policy with Bayesian Expert Selection for Active Multi-Target Tracking cites this paper.

Diffusion Policy with Bayesian Expert Selection for Active Multi-Target Tracking Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-13T18:28:06.390222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-13T18:27:25.541838Z digest=sha256:abda33eb83b21ba9a9bda3b8052dfeb15689aef136961afc1597eab4dc5aa6e3

Observation 04c33ec6-d617-4c75-9832-7c86bc1a799d · inbound

DISC: Decoupling Instruction from State-Conditioned Control via Policy Generation cites this paper.

DISC: Decoupling Instruction from State-Conditioned Control via Policy Generation Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-21T04:59:36.251256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-21T04:58:46.675822Z digest=sha256:20c66a884575c293f6849cf17453353a0dc80f95faf48e147092d891cbf16eb9

Observation 3fde7b3c-846c-4c76-a20f-43311929f11f · inbound

TS-Mask VLA: 2D Temporal-Spatial Masking for Vision-Language-Action Model with Effective Bridging cites this paper.

TS-Mask VLA: 2D Temporal-Spatial Masking for Vision-Language-Action Model with Effective Bridging Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning

Reference 38

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no resolver link, observed 2026-07-14T15:19:27.489381Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T15:19:27.489381Z digest=sha256:3ef23d2ca126a4ea03014524d9e1eabd1cd8ef8b47ad83faaf928347a7a07320

Observation 907506f5-4f77-4eb6-b087-6d1e26464a59 · inbound

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation cites this paper.

EDAR: Learning Environment-Dependent Action Representations for Robotic Manipulation Efficient Diffusion Transformer Policies with Mixture of Expert Denoisers for Multitask Learning

Reference 26

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unresolved
no resolver link, observed 2026-07-14T05:40:47.306935Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T05:40:47.306935Z digest=sha256:78cdab26601aa06e10675fa5c2eb504f4e811f678385926a42457fd70a4e5865