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Paper Citation Record · LEDGER

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models

As of 11 August 2026, this Paper Citation Record lists 100 of 114 outbound references and 2 inbound Pith citation observations for arXiv:2412.19948.

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

pith.paper-citation-record.v1
2412.19948 v3

Coverage vector

measured 100 of 114 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T23:49:31.377914Z

measured 102 of 102 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:25:18.480834Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T20:38:47.237289Z

Reference resolution

100 of 114 outbound references displayed

  • verified exact0
  • verified fuzzy59
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0cd73710-7c69-4a41-bf24-7b760a116bc8 · outbound

This paper cites an unresolved cited work.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Unresolved cited work

Reference 1

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Observation b79543ef-6526-4fdc-8cd8-14445fade6d7 · outbound

This paper cites Chomp: Gradient optimization tech- niques for efficient motion planning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Chomp: Gradient optimization tech- niques for efficient motion planning,

Reference 2

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Observation 4efacd16-ae7f-408e-a931-2a573e160d30 · outbound

This paper cites Continuous-time gaussian process motion planning via probabilistic inference,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Continuous-time gaussian process motion planning via probabilistic inference,

Reference 3

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Observation d1eefa4b-d1a9-4c7c-8450-d6427125804a · outbound

This paper cites Finding locally optimal, collision-free trajectories with sequential convex optimization,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Finding locally optimal, collision-free trajectories with sequential convex optimization,

Reference 4

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Observation 006dad4d-8765-4dda-aaf7-66ff00f5ee56 · outbound

This paper cites Rrt-connect: An efficient approach to single-query path planning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Rrt-connect: An efficient approach to single-query path planning,

Reference 5

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Observation 69081deb-9995-42f8-8585-350430477da4 · outbound

This paper cites Efficient robot motion planning via sampling and optimization,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Efficient robot motion planning via sampling and optimization,

Reference 6

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Observation 8d962acb-a30b-46f8-8036-ae2bff1bbd85 · outbound

This paper cites Learning from experience in manipulation planning: Setting the right goals,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Learning from experience in manipulation planning: Setting the right goals,

Reference 7

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Observation c1a1eacb-5307-4f76-80d9-8ce0ef192056 · outbound

This paper cites Memory of motion for initializing optimization in robotics,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Memory of motion for initializing optimization in robotics,

Reference 8

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Observation e4ce9775-0162-47cf-97cb-3b92501148d7 · outbound

This paper cites Memory of motion for warm- starting trajectory optimization,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Memory of motion for warm- starting trajectory optimization,

Reference 9

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Observation fcbbcbed-8ed9-4c83-952f-a69f473cf580 · outbound

This paper cites Demonstration based trajectory optimiza- tion for generalizable robot motions,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Demonstration based trajectory optimiza- tion for generalizable robot motions,

Reference 10

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Observation 44db2a65-3e93-4fdd-9a82-15d3a78c151b · outbound

This paper cites Towards robust skill generalization: Unifying learning from demonstration and motion planning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Towards robust skill generalization: Unifying learning from demonstration and motion planning,

Reference 11

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Observation f07fa728-267d-4397-af28-3f3e6c67d3de · outbound

This paper cites an unresolved cited work.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Unresolved cited work

Reference 12

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Observation cc510f6c-35ab-4689-a756-c8f79d182acf · outbound

This paper cites Efficient gradient-free variational infer- ence using policy search,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Efficient gradient-free variational infer- ence using policy search,

Reference 13

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Observation 59338b9e-fbac-43cb-b0dc-67337bc57d50 · outbound

This paper cites Auto-encoding variational bayes,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Auto-encoding variational bayes,

Reference 14

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Observation 9cf5b61c-aa94-4c9b-bbb5-107d4321b8ea · outbound

This paper cites Generative adversarial nets,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Generative adversarial nets,

Reference 15

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Observation 288dc2ac-7ff0-4289-a39e-bde64becfe2e · outbound

This paper cites A tutorial on energy-based learning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models A tutorial on energy-based learning,

Reference 16

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Observation df590622-e279-454e-93fc-3905b5f95f5e · outbound

This paper cites Denoising diffusion probabilistic models,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Denoising diffusion probabilistic models,

Reference 17

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Observation d0ecd6f5-6623-44b7-859f-7094741bbcf1 · outbound

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

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Score-based generative modeling through stochastic differential equations,

Reference 18

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Observation b09e95ac-73fc-428d-9e04-92dde27b9c65 · outbound

This paper cites Wasserstein generative adversarial networks,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Wasserstein generative adversarial networks,

Reference 19

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Observation 924be4c5-394f-4a48-be20-5f9d8c4c24f6 · outbound

This paper cites Implicit behavioral cloning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Implicit behavioral cloning,

Reference 20

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Observation eea68aaa-a9fd-47d0-a872-7643d76e12da · outbound

This paper cites A study on sample diversity in generative models: Gans vs. diffusion models,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models A study on sample diversity in generative models: Gans vs. diffusion models,

Reference 21

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Observation aae9d97b-3672-4b12-87f7-b4087cf8e274 · outbound

This paper cites Multimodal trajectory optimization for motion planning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Multimodal trajectory optimization for motion planning,

Reference 22

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Observation 34406516-ee2a-4c0a-938e-c33a5e664058 · outbound

This paper cites Diffusion models beat gans on image synthesis,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Diffusion models beat gans on image synthesis,

Reference 23

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Observation b57d6390-b13e-4b77-9a7f-9a8360768776 · outbound

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

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Motion planning diffusion: Learning and planning of robot motions with diffusion models,

Reference 24

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Observation 966a4d27-c802-489b-b7fa-fe81fe5a0ef3 · outbound

This paper cites Probabilistic roadmaps for path plan- ning in high-dimensional configuration spaces,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Probabilistic roadmaps for path plan- ning in high-dimensional configuration spaces,

Reference 25

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Observation 8690f5ae-bcdc-416c-b2f9-4bfb56c43167 · outbound

This paper cites an unresolved cited work.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Unresolved cited work

Reference 26

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Observation a39fa0b1-2c00-4d2c-a2fd-dea10200fcc5 · outbound

This paper cites Sampling-based algorithms for optimal motion planning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Sampling-based algorithms for optimal motion planning,

Reference 27

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Observation 38b23417-21e4-48ef-b454-0402da5de372 · outbound

This paper cites Informed rrt*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Informed rrt*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic,

Reference 28

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Observation db3b29ef-ba9f-4ca6-b343-d6492cfc5f04 · outbound

This paper cites Batch informed trees (bit*): Informed asymptotically optimal anytime search,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Batch informed trees (bit*): Informed asymptotically optimal anytime search,

Reference 29

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Observation a7d42eed-b0d2-4f93-ab8d-6518ba47e84a · outbound

This paper cites Adaptively informed trees (ait*): Fast asymptotically optimal path planning through adaptive heuristics,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Adaptively informed trees (ait*): Fast asymptotically optimal path planning through adaptive heuristics,

Reference 30

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Observation dcc72ede-b3cc-45d9-8ed5-8222a91e3e68 · outbound

This paper cites Path smoothing techniques in robot navigation: State-of-the-art, current and future challenges,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Path smoothing techniques in robot navigation: State-of-the-art, current and future challenges,

Reference 31

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Observation b919180f-9c5d-425e-8dfd-ec466de573fc · outbound

This paper cites A generalized path integral control approach to reinforcement learning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models A generalized path integral control approach to reinforcement learning,

Reference 32

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Observation 4d93eb12-9c24-4337-b1fb-d98633c966c0 · outbound

This paper cites Stomp: Stochastic trajectory optimization for motion planning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Stomp: Stochastic trajectory optimization for motion planning,

Reference 33

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Observation 9b3e82cc-2852-41b2-9ec2-5ffbd649d0e7 · outbound

This paper cites Learning implicit priors for motion optimiza- tion,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Learning implicit priors for motion optimiza- tion,

Reference 34

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Observation 5a517a42-082f-47f2-8d2f-73814d7f5efc · outbound

This paper cites Mixtures of gaussian processes for robot motion planning using stochastic trajectory optimization,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Mixtures of gaussian processes for robot motion planning using stochastic trajectory optimization,

Reference 35

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Source-reported events for the cited work

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Observation ffb5622c-12c6-43b8-a933-26a7ddcce325 · outbound

This paper cites Accelerating motion planning via optimal transport,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Accelerating motion planning via optimal transport,

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 23734aaa-8e63-4ff8-afbd-17b583017bdc · outbound

This paper cites Policies based on trajectory li- braries,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Policies based on trajectory li- braries,

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5d760f79-6d78-49a7-b259-c21ee36c2815 · outbound

This paper cites Standing balance control using a trajectory library,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Standing balance control using a trajectory library,

Reference 38

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raw_fallback, observed 2026-08-10T23:49:32.540728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.118623Z digest=sha256:85e6a50c5f05193e5cd9dded1dba7f985dff88431032541e2b101d874702f883

Observation d49020ec-0187-4c64-8318-bf434c263f35 · outbound

This paper cites Using a memory of motion to efficiently warm-start a nonlinear predictive controller,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Using a memory of motion to efficiently warm-start a nonlinear predictive controller,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.528024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.122471Z digest=sha256:0902553b290fd5b0d1c2d0770f4cb83249f6dd8b3c9ce745a8d410c1f5051c6d

Observation c6d3c5a7-4177-45d7-a84d-17b2baad9348 · outbound

This paper cites On-line motion synthesis and adaptation using a trajectory database,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models On-line motion synthesis and adaptation using a trajectory database,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.517246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.126284Z digest=sha256:18f89114e66e7e8128b7cb6fd87f9faa199488a86e6203c22428309551349fba

Observation edbfb318-dd21-44dd-bd6c-88dc31a94692 · outbound

This paper cites Trajectory planning for optimal robot catching in real-time,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Trajectory planning for optimal robot catching in real-time,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.506608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.130075Z digest=sha256:3e8c77390a59ace3e09b78e6e1d52d970b1bd3be6f4223667fd73f869e88ac1e

Observation f394842b-eda9-47d2-a3de-032ba0da974f · outbound

This paper cites Variational inference mpc using normal- izing flows and out-of-distribution projection,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Variational inference mpc using normal- izing flows and out-of-distribution projection,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.495407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.133646Z digest=sha256:be091e3b66ee205edf10636a262b50424563edd354987739662b089bb12bca70

Observation e820390d-e850-43c4-bb46-01b2f9d4669b · outbound

This paper cites An algorithmic perspective on imitation learning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models An algorithmic perspective on imitation learning,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.483093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.137497Z digest=sha256:44a8b68f1ff1a563240af0a4dd4a868c61b732d804d1f2da851101ff5bb1b1c9

Observation b2bfe5ab-73ce-47b8-b438-12989f78e363 · outbound

This paper cites Relative entropy policy search,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Relative entropy policy search,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.470432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.141461Z digest=sha256:756e5cf44b8247eb216d945f18e526dc506104a7c31a1b15669b3fc3c18b78f5

Observation ca9793df-c638-4305-8674-b2fdd49bc99f · outbound

This paper cites Diffusion models as plug-and-play priors,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Diffusion models as plug-and-play priors,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.459633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.145472Z digest=sha256:080408ffe625579e901419189bfbf5220d9b2df2651b6c77f02ef486e377b09e

Observation 914d645e-08c6-4a90-b673-6b75378291ff · outbound

This paper cites Kapelyukh, V.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Kapelyukh, V

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.448136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.149441Z digest=sha256:f5f0c2fe5a7496bf8548f897f451a2750556dab351ecbb2c0610fcbad6e4d690

Observation ca198888-894e-4263-86c6-92206c559c4d · outbound

This paper cites Ramesh et al., Hierarchical text-conditional image generation with clip latents, 2022.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Ramesh et al., Hierarchical text-conditional image generation with clip latents, 2022

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.437504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.154046Z digest=sha256:606935f442ac896bfd3305c0787705f59a52416295bc83bd451d385f429589bc

Observation 8a09b1cc-4f8e-4d7a-822f-74da2d1bba5e · outbound

This paper cites an unresolved cited work.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:49:32.426045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.157978Z digest=sha256:58d4f6ec805c1100e55ad83f2ad44a28b4b01dc4392848593886796fecd35896

Observation 4c76c27b-5bcf-4db2-937a-c63efe799a5c · outbound

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

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Se(3)-diffusionfields: Learning smooth cost functions for joint grasp and motion optimization through diffusion,

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.415440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.161743Z digest=sha256:f9fb73308613012fcddd4e64833f9b191ba8c7471c055ba8b48acc8820bfa961

Observation 68401c40-4cd8-43ee-aa83-6c7dd66db87b · outbound

This paper cites Dexdiffuser: Generating dexterous grasps with diffusion models,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Dexdiffuser: Generating dexterous grasps with diffusion models,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.403611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.165561Z digest=sha256:1df9968e626e8b96ea611251127c1d6a355d121c6af6855315917fa80866eb55

Observation b68fe17a-6fde-4563-a716-788d0b5b0b29 · outbound

This paper cites DexGrasp-Diffusion: Diffusion-based Unified Functional Grasp Synthesis Method for Multi-Dexterous Robotic Hands.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models DexGrasp-Diffusion: Diffusion-based Unified Functional Grasp Synthesis Method for Multi-Dexterous Robotic Hands

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-10T23:49:31.169672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:49:31.169672Z digest=sha256:a5f6ee3bffddae474508f906a9a983c06824b2ece8a8bb02bc5aaa908bd201d9

Observation 3196058e-1f1e-4aa6-9dc1-111d955643dc · outbound

This paper cites Planning with diffusion for flexible behavior synthesis,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Planning with diffusion for flexible behavior synthesis,

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.391166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.173945Z digest=sha256:9869f627cc74380c2f5fa7816e6aa4cc69393b7ea1fa05c27149955bcba8531d

Observation 05b8d3ef-2ad9-49cb-9100-a611898b38a3 · outbound

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

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Diffusion policy: Visuomotor policy learning via action diffusion,

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.268134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.177832Z digest=sha256:3d8366cca73d4fa8a15cfbc6564af9c242a38338d1173f1378a2d8438a375097

Observation 83c11e73-655a-48b8-87ea-ef4d51ed10b8 · outbound

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

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Goal-conditioned imitation learning using score-based diffusion policies,

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.256857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.182469Z digest=sha256:dc9dc6128a77e5d61d1eb43e34b995257f9c3bef12814412c585f159a0485a0b

Observation 29d861da-2e33-4f67-8fd8-544be229bc0d · outbound

This paper cites 3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models 3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations,

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.244343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.186309Z digest=sha256:eb70d8b073e0b80d2b2218d7b82a542783be523e35bdc3a770a78152ed176c3b

Observation 44a7fb19-4d7d-4b69-b4ec-d161db147066 · outbound

This paper cites 3d diffuser actor: Policy diffusion with 3d scene representations,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models 3d diffuser actor: Policy diffusion with 3d scene representations,

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.232045Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.190304Z digest=sha256:eb0f47a6d68efececb97c229123d4ba83c4f6f397b6fcf6eb7560dc7528b1bf8

Observation 9964332e-1b50-42c7-8bc2-9a9dff5a3d1b · outbound

This paper cites Language-guided object-centric diffusion policy for collision-aware robotic manipulation,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Language-guided object-centric diffusion policy for collision-aware robotic manipulation,

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.219079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.194835Z digest=sha256:83ce4395b2536ed3525aab150d80e3fc0ec70e97908d77e01d93d0503572ea63

Observation 7fa2720d-4a35-477c-bace-7df03b465295 · outbound

This paper cites DISCO: Language-Guided Manipulation with Diffusion Policies and Constrained Inpainting.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models DISCO: Language-Guided Manipulation with Diffusion Policies and Constrained Inpainting

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-10T23:49:31.198772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:49:31.198772Z digest=sha256:ebf6eb0eb02e90c18e8cf337f7d15798703396cc6147d6b75220580dfaf15a60

Observation 5e4ce5f3-e2ef-43a5-b1f4-09699604e92d · outbound

This paper cites CoBL-Diffusion: Diffusion-Based Conditional Robot Planning in Dynamic Environments Using Control Barrier and Lyapunov Functions.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models CoBL-Diffusion: Diffusion-Based Conditional Robot Planning in Dynamic Environments Using Control Barrier and Lyapunov Functions

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-10T23:49:31.202990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:49:31.202990Z digest=sha256:b0b2fd1f257c97b01ff4e03528be40888a1a106402a1ff3a2c8a1cf54ba22e06

Observation 4fb5d7db-1707-463b-9936-a7e18f6593ab · outbound

This paper cites Equivariant diffusion policy,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Equivariant diffusion policy,

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.206572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.207154Z digest=sha256:0879bf1678983ef46e494ef7292ea5f20b23405c08f0ae61aeb348e29bc58246

Observation 5d75d3ab-dff9-4e36-b835-640ea56bbee2 · outbound

This paper cites Equibot: Sim (3)-equivariant diffusion policy for generalizable and data efficient learning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Equibot: Sim (3)-equivariant diffusion policy for generalizable and data efficient learning,

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.195370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.210840Z digest=sha256:002bb8feaa7d103a552116de22ece503cc37d171b33fd86685721c379f7a4e0d

Observation 562be797-926a-4406-a999-f7617c3f267a · outbound

This paper cites Subgoal diffuser: Coarse-to-fine subgoal generation to guide model predictive control for robot manipulation,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Subgoal diffuser: Coarse-to-fine subgoal generation to guide model predictive control for robot manipulation,

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.182961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.214589Z digest=sha256:68949609d7405c502b1343bc470258a36b83f7fda78002b10858810234b0b6b7

Observation dc69a9b3-e401-4272-b41a-13f1d2a53cc9 · outbound

This paper cites Movement primitive diffusion: Learning gentle robotic manipulation of deformable objects,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Movement primitive diffusion: Learning gentle robotic manipulation of deformable objects,

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.171575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.218855Z digest=sha256:816e430f78562a9f274757a6c666943763d3402e2ce92e878b4bcfaed8451da6

Observation f0995e8c-c5fc-4aa1-afc7-d1e36a2e8128 · outbound

This paper cites Prodmp: A unified perspective on dynamic and probabilistic movement primitives,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Prodmp: A unified perspective on dynamic and probabilistic movement primitives,

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.160254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.222983Z digest=sha256:3cb4a1a236ee7be8b1e492e3ca5e361a737473c496f1a1def3baf8ded84dc13c

Observation c14ae7dd-37b5-4a67-8e93-3988ab40ab2a · outbound

This paper cites EDMP: ensemble-of-costs-guided diffusion for motion planning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models EDMP: ensemble-of-costs-guided diffusion for motion planning,

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.147687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.227487Z digest=sha256:91a84c48f1b8028ff608ace6ad6da474a18880f71a80a4a7a9e9379ec2e4a477

Observation 6ccfb4ff-39f0-4557-8bf3-b557bceeead3 · outbound

This paper cites Sampling constrained trajectories using composable diffusion models,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Sampling constrained trajectories using composable diffusion models,

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.136526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.231538Z digest=sha256:1f241031b0051c611746699c1233fa7af92a39ee7f809e8d2f9de15fc0b7bc58

Observation 08edb0ab-90cb-4998-969e-6bfb7605cf9a · outbound

This paper cites Safediffuser: Safe planning with diffu- sion probabilistic models,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Safediffuser: Safe planning with diffu- sion probabilistic models,

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.124124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.236264Z digest=sha256:32d0c1ea0f06d8b24cc1a63c854db274d95744bdd96be95e46edf078c4800b13

Observation 99eee85f-d7f0-462c-a135-e02573eec6bc · outbound

This paper cites Apex: Ambidextrous dual-arm robotic manipulation using collision-free generative diffusion models,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Apex: Ambidextrous dual-arm robotic manipulation using collision-free generative diffusion models,

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.110632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.240509Z digest=sha256:586a213aa11ce07d4ad838bf8300f314b704703ecc4da119395f2011ccc49970

Observation b0864e8f-9957-4d31-a715-624c0f8ec017 · outbound

This paper cites Conditioned score-based models for learning collision-free trajectory generation,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Conditioned score-based models for learning collision-free trajectory generation,

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.097512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.244819Z digest=sha256:356a2afffe44e4ad6b43fb885fa4627533dd30757308c1f26885856c264e65e6

Observation d57efac9-e3f2-419c-b650-864aeaec53d7 · outbound

This paper cites Potential based diffusion motion planning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Potential based diffusion motion planning,

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.083874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.248838Z digest=sha256:4e010c18daec47df3d20d988c944cc68d03e8fd2a48aaefd7f23d03dbba1ecff

Observation 63f59e3b-536e-4395-a356-e54c4c375da2 · outbound

This paper cites Huang, Z.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Huang, Z

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.070643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.253550Z digest=sha256:2a8d593c7e6bd6c1d1206f2854c87360db3cc8dd3302192c891d309ea9ae316c

Observation 9bb2d154-79ff-494e-aa93-c356224af1fe · outbound

This paper cites Diffusionseeder: Seeding motion optimization with diffusion for rapid motion planning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Diffusionseeder: Seeding motion optimization with diffusion for rapid motion planning,

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.057538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.258415Z digest=sha256:081338912ef7c173c702225a5bfe49c1e9aef463ccd14bf1d5eb930634ef3f45

Observation 2969424d-061f-4fcd-9328-0f2e7f5b51fc · outbound

This paper cites Motion policy networks,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Motion policy networks,

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.044717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.262824Z digest=sha256:1fd9c91b8618e33bb28b4d7ad1993ded31b5693cac962e1c42cf7274e360400e

Observation ff0e4cf1-af09-4fb6-ad04-2718daafe9e2 · outbound

This paper cites Motion planning for autonomous driving: The state of the art and future perspectives,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Motion planning for autonomous driving: The state of the art and future perspectives,

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.032007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.267485Z digest=sha256:fed028b2ff675f20db649aee66d576a1e899369475c51952d8e817fa08e65bf3

Observation 5d0bd45b-e30a-4d86-b3a5-c869fe331ea9 · outbound

This paper cites Scenecontrol: Diffusion for controllable traffic scene generation,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Scenecontrol: Diffusion for controllable traffic scene generation,

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.020038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.272218Z digest=sha256:4bb569ec1011e27d1260db25ef5e957643e058b3b0ef567ce994c550ed2e3ace

Observation b868a9e1-e077-45e9-ba8b-f9fc96f9fdc2 · outbound

This paper cites CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models CGD: Constraint-Guided Diffusion Policies for UAV Trajectory Planning

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-10T23:49:31.276538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:49:31.276538Z digest=sha256:a769b1d5eae95290b9aa44f9957559444a367b0439f8b483d21da51ac3754bd0

Observation 68f20c11-efd6-48d6-8ed7-328f869cfe99 · outbound

This paper cites Diffusion-es: Gradient-free planning with diffusion for autonomous and instruction-guided driving,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Diffusion-es: Gradient-free planning with diffusion for autonomous and instruction-guided driving,

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:32.008558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.280993Z digest=sha256:313bd0a281314f3bd183b2c6f1887bff5eb2f799a1020bdbc3d50a5274bc26bd

Observation 8f18618c-70cb-4060-8e27-8d767d166b76 · outbound

This paper cites Dipper: Diffusion-based 2d path planner applied on legged robots,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Dipper: Diffusion-based 2d path planner applied on legged robots,

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.995177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.284977Z digest=sha256:6e4675f858664eebbc9df9759312867d92226c4dc262ac94eced46a52c68dd1a

Observation 52f788cc-e62a-4890-8935-c29a389cf57a · outbound

This paper cites Dippest: Diffusion-based path planner for synthesizing trajectories applied on quadruped robots,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Dippest: Diffusion-based path planner for synthesizing trajectories applied on quadruped robots,

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.981585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.289490Z digest=sha256:dbdfd6b54f27bafc3867057b16ce2b8cae72119d81bde9b82f726b44cfb4a808

Observation 5474c88d-e895-4071-939c-b2aadc465718 · outbound

This paper cites Urain, A.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Urain, A

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.967345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.293481Z digest=sha256:ad18a6cf6a1330e2a66eeacdbc4c8613c8465791b366d6cb2d35555645fbdcff

Observation fa9e318f-2eea-4902-905f-076a8828bb75 · outbound

This paper cites Chomp: Covariant hamiltonian opti- mization for motion planning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Chomp: Covariant hamiltonian opti- mization for motion planning,

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.954013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.297786Z digest=sha256:324b8c823b3545c5451e142c144903000a13988eb8c845ec4dca55ae06bd15e8

Observation b5f29a08-ca70-4a1b-b059-c65a844ab863 · outbound

This paper cites Planning by probabilistic inference,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Planning by probabilistic inference,

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.938867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.301960Z digest=sha256:69d6ed4d03f5591c8f8a841b1a35449d5c52ecde5e819bff710c06265fe18c1a

Observation 427b8e64-6d7b-4078-b405-59c50e1ea380 · outbound

This paper cites Robot trajectory optimization using approximate in- ference,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Robot trajectory optimization using approximate in- ference,

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.926588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.306270Z digest=sha256:552d8e4d712fdabaad76700cb74d28ffadb84989db852e87a8bedc5fabdc3d55

Observation 01d168df-780f-44da-a7c2-679415ef2a3d · outbound

This paper cites A gaussian variational inference approach to motion planning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models A gaussian variational inference approach to motion planning,

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.913661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.310187Z digest=sha256:267b25e1a8b1f2f5dc0c82f2089967006fe6a049d951a54101056499f0a0c882

Observation 99bfc25e-96ea-4372-a91d-b8be63933c73 · outbound

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

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Generative modeling by estimating gradients of the data distribution,

Reference 85

Resolution
unresolved
no resolver link, observed 2026-08-10T23:49:31.314480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T23:49:31.314480Z digest=sha256:5a13c2d4f3102ebb51c6c72177ce995375e45bfab6d3e8253f61a282f3d9871f

Observation 45b1dcd7-b355-4a24-bb67-b13d67069f3b · outbound

This paper cites Improved denoising diffusion proba- bilistic models,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Improved denoising diffusion proba- bilistic models,

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.893910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.318715Z digest=sha256:72ea79a79eb5246c3bc7e7145f7fb3fcd794722c7d573a08833fbebdab745959

Observation 41f699f6-24d7-4e46-b707-ba1bb69d41ff · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Deep unsupervised learning using nonequilibrium thermodynamics,

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.880826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.322701Z digest=sha256:2ae3878ab897e86abf07aabb05abf5dd39361342d0235796b85cbf44ce7a4704

Observation 7559c831-7b91-4711-b3ed-aa752d30bdcc · outbound

This paper cites Luo, Understanding diffusion models: A unified perspective , 2022.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Luo, Understanding diffusion models: A unified perspective , 2022

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.867935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.326718Z digest=sha256:f1c428763d84eae51e80eabe424214a80a2e1a67aaa9bec291a83ef4131d4e35

Observation 41057148-4f14-4c1d-bb6c-8e8e08ea7a06 · outbound

This paper cites Is conditional generative modeling all you need for decision making?.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Is conditional generative modeling all you need for decision making?

Reference 89

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.856410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.330840Z digest=sha256:0fa782a1ed9e583692a579500d208bb91550908f03e56fa3a9c884742f647dc6

Observation f08c08f4-a347-42f1-9b90-a7cf85190d7e · outbound

This paper cites Elucidating the design space of classifier- guided diffusion generation,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Elucidating the design space of classifier- guided diffusion generation,

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.844828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.335198Z digest=sha256:6a4f30efd097beea91d1238e086f88e2862eafe19570fb4b7b0412ce6a39d8f4

Observation ec955f5e-6cc2-4c6b-b152-edd3bacee51e · outbound

This paper cites Guided conditional diffusion for control- lable traffic simulation,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Guided conditional diffusion for control- lable traffic simulation,

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.831851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.339468Z digest=sha256:56bb2f3cb47e10ddcf0b66f7cb8c61f51a37520d1777fc734dfc268672797297

Observation b3f29ad4-f10f-4298-8d9a-0b7710b9d111 · outbound

This paper cites Denoising diffusion implicit models,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Denoising diffusion implicit models,

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.819886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.343571Z digest=sha256:6b5459d9950cf4f02c8f8c643ae0046fae51ef423c69b4e7b792bf0901ba8433

Observation 95c2530e-98b2-4f3a-9c82-e71f68c4dfe8 · outbound

This paper cites Fast kinodynamic planning on the constraint manifold with deep neural networks,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Fast kinodynamic planning on the constraint manifold with deep neural networks,

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.807633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.347417Z digest=sha256:5b62f4ebaea6eb11ec1cde3263c90350e1f958319ea953c3ca5dd4eab0df2f64

Observation a2e1adee-e99b-48a6-8d46-e4412fc4ee64 · outbound

This paper cites Package for calculating with b-splines,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Package for calculating with b-splines,

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.795867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.352058Z digest=sha256:4e97fd37cff78ca7c0ec4e6a740bdc1e261b60aa4abfbebc11ceb53e0f24dee5

Observation 11663d63-88be-4ede-8196-25f914fac3c7 · outbound

This paper cites Shene, Derivatives of a B-spline Curve — pages.mtu.edu , https: / / pages.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Shene, Derivatives of a B-spline Curve — pages.mtu.edu , https: / / pages

Reference 95

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.781884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.356577Z digest=sha256:7fd4b44dab1f2fc0b9bbd0c19f20a7e9ef7184dd7ef11f3dbd07345cf943bfb0

Observation 868cb85e-bc90-4539-8a34-4fdc4f985133 · outbound

This paper cites Bridging the gap between learning-to-plan, motion primitives and safe reinforcement learning,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Bridging the gap between learning-to-plan, motion primitives and safe reinforcement learning,

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.768977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.360445Z digest=sha256:6f9e5396a598542cf62b34392f37d9422d53b957cc71ae6202d4d51de1a115b5

Observation d6477f2c-3372-4b43-8a22-b3ffeb0f94bd · outbound

This paper cites an unresolved cited work.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Unresolved cited work

Reference 97

Resolution
unresolved
raw_fallback, observed 2026-08-10T23:49:31.757454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.364148Z digest=sha256:66cb6e2c744ab185163b7dd019a6a8ad43040847f2b5ea8cce9fd8cc8133ebc9

Observation 4118516a-7d11-407e-b21f-fc7cbde08d1a · outbound

This paper cites Using probabilistic movement prim- itives in robotics,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Using probabilistic movement prim- itives in robotics,

Reference 98

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.746232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.368162Z digest=sha256:807dd689bb5569af6017e426b562e85c7122a73258051d67cbce0c94821cc499

Observation a055ca4c-3754-460b-807e-22853e45da7e · outbound

This paper cites A unified and elegant derivation of b ´ezier, b-spline, and other CAGD concepts: B ´ezier and b-spline techniques,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models A unified and elegant derivation of b ´ezier, b-spline, and other CAGD concepts: B ´ezier and b-spline techniques,

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.731981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.372700Z digest=sha256:932409597fe75c705928b65e4198ea1fac101cfe3ecfde19950f4470cca571e1

Observation 0d8e7a8f-b81a-467a-bb2a-d65d5763702f · outbound

This paper cites Film: Visual reasoning with a general condi- tioning layer,.

Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models Film: Visual reasoning with a general condi- tioning layer,

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T23:49:31.718827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-10T23:49:31.377914Z digest=sha256:854b249ed5ad5d753342b77d513569988a0df031287716a65ac72fd7ec9a0620

Pith citing papers

Observation f0dbc622-fb60-4e7c-8362-166558413b5d · inbound

Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models cites this paper.

Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-09T04:25:18.480834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:25:18.480834Z digest=sha256:1a40554b2f84091ce84a1ce1def9d93870a2b0d22dcafb21c595f9cb0a18a7c5

Observation d3beec0d-b65d-4151-8541-911751692d60 · inbound

Leveraging OS-Level Primitives for Robotic Action Management cites this paper.

Leveraging OS-Level Primitives for Robotic Action Management Motion Planning Diffusion: Learning and Adapting Robot Motion Planning with Diffusion Models

Reference 2024

Resolution
verified exact
local_arxiv, observed 2026-08-05T20:38:47.288310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T20:38:38.394363Z digest=sha256:c5284701c3f86cc77414d6fc128e42f6f37c58fa467662468ca6aabfb8d84717