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Paper Citation Record · LEDGER

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation

As of 19 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 0 inbound Pith citation observations for arXiv:2607.11027.

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

pith.paper-citation-record.v1
2607.11027 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T07:33:51.586265Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

54 of 54 outbound references displayed

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  • unresolved53
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  • malformed identifier1
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Outbound references

Observation 50406232-6732-46c4-9959-5dcb6b0686f8 · outbound

This paper cites Sail: Faster-than-demonstration execution of imitation learning policies.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Sail: Faster-than-demonstration execution of imitation learning policies

Reference 1

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:0e110520da6582a868543f006cc4e11a7ee15e42bbc2ce872b20dc8c095c40c0

Observation 2bfde493-df7d-498a-bfb7-6d4644fe3e62 · outbound

This paper cites A framework for behavioural cloning.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation A framework for behavioural cloning

Reference 2

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:7f22d8b3fba2b03ae5b6a69a7cb775acb84f4d3123a962ed671f6ae83044b617

Observation 4618333e-b4f4-4d2e-afe7-439b15ed0e44 · outbound

This paper cites Hydra: Hybrid robot actions for imitation learning.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Hydra: Hybrid robot actions for imitation learning

Reference 3

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Observation 96dc9017-7c8b-47eb-af87-20166f40f08a · outbound

This paper cites $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation $\pi_0$: A Vision-Language-Action Flow Model for General Robot Control

Reference 4

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Observation e94b3785-5a5d-4b14-b5d6-997ce1dc734e · outbound

This paper cites Real-Time Execution of Action Chunking Flow Policies.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Real-Time Execution of Action Chunking Flow Policies

Reference 5

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Observation 222d647e-540c-446e-84fd-28080380806e · outbound

This paper cites Polarnet: 3d point clouds for language-guided robotic manipulation.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Polarnet: 3d point clouds for language-guided robotic manipulation

Reference 6

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:cb0f709e272ed1c4f033fbc83d7d882dd08fb14bc9956aa0d9f89f2bbf1088fa

Observation 3fea1f84-61b6-4ff1-bbc5-0bef235a7688 · outbound

This paper cites Bail: Best-action imitation learning for batch deep reinforcement learning.AdvancesinNeuralInformationProcessingSystems, 33:18353–18363, 2020.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Bail: Best-action imitation learning for batch deep reinforcement learning.AdvancesinNeuralInformationProcessingSystems, 33:18353–18363, 2020

Reference 7

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Observation a2ead7c8-d934-489a-86c5-8d055fcc397b · outbound

This paper cites Responsive Noise-Relaying Diffusion Policy: Responsive and Efficient Visuomotor Control.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Responsive Noise-Relaying Diffusion Policy: Responsive and Efficient Visuomotor Control

Reference 8

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Observation 7f5a21e2-125a-462b-8af2-d75b54e5ec5a · outbound

This paper cites Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of RoboticsResearch, 44(10-11):1684–1704, 2025.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Diffusion policy: Visuomotor policy learning via action diffusion.The International Journal of RoboticsResearch, 44(10-11):1684–1704, 2025

Reference 9

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Observation 9224e558-a25c-434c-b8e9-c13abcbeb47b · outbound

This paper cites Real-Time Iteration Scheme for Diffusion Policy.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Real-Time Iteration Scheme for Diffusion Policy

Reference 10

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Observation bee77868-e9b5-49c9-9a89-a79e842b1c96 · outbound

This paper cites Sam2act: Integrating visual foundation model with a memory architecture for robotic manipulation.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Sam2act: Integrating visual foundation model with a memory architecture for robotic manipulation

Reference 11

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Observation 96e08cc2-cccb-48e1-b5af-43821b3a0628 · outbound

This paper cites Act3d: 3d feature field transformers for multi-task robotic manipulation.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Act3d: 3d feature field transformers for multi-task robotic manipulation

Reference 12

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Observation 2476b0e0-c46c-454c-b9ad-790fc2738036 · outbound

This paper cites Rvt: Robotic view transformer for 3d object manipulation.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Rvt: Robotic view transformer for 3d object manipulation

Reference 13

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Observation eb3fbeeb-7414-4652-a1b8-b834b3eb1c90 · outbound

This paper cites Rvt2: Learning precise manipulation from few demonstrations.RSS, 2024.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Rvt2: Learning precise manipulation from few demonstrations.RSS, 2024

Reference 14

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Observation e3ed2255-2f69-4016-ad29-39abeda567e5 · outbound

This paper cites Denoisingdiffusionprobabilisticmodels.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Denoisingdiffusionprobabilisticmodels

Reference 15

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Observation 7bf45276-580d-4805-9c38-1c5138b93a81 · outbound

This paper cites Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion Models

Reference 16

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Observation 6bc6de18-e56f-4a37-80b9-8bc1eebf6f2b · outbound

This paper cites Video prediction policy: A generalist robot policy with predictive visual representations.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Video prediction policy: A generalist robot policy with predictive visual representations

Reference 17

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Observation 2e2686f4-babd-461c-ad35-17abc4a9ada3 · outbound

This paper cites Q-attention: Enablingefficientlearningforvision-basedroboticmanipulation.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Q-attention: Enablingefficientlearningforvision-basedroboticmanipulation

Reference 18

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Observation 2fbf4ea7-8ab4-4088-b3f7-3ef054de1581 · outbound

This paper cites Rlbench: The robot learning benchmark & learning environment.IEEE Roboticsand AutomationLetters, 5(2):3019–3026, 2020.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Rlbench: The robot learning benchmark & learning environment.IEEE Roboticsand AutomationLetters, 5(2):3019–3026, 2020

Reference 19

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Observation f8fa712c-69cf-4ed2-b4ac-8f7b941ae871 · outbound

This paper cites Coarse-to-fine q-attention: Efficient learning forvisualroboticmanipulationviadiscretisation.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Coarse-to-fine q-attention: Efficient learning forvisualroboticmanipulationviadiscretisation

Reference 20

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Observation 20a42e61-9b93-4103-8769-2e332567384e · outbound

This paper cites Sampling-based algorithms for optimal motion planning.Theinternational journal ofroboticsresearch, 30(7):846–894, 2011.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Sampling-based algorithms for optimal motion planning.Theinternational journal ofroboticsresearch, 30(7):846–894, 2011

Reference 21

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Observation f9beb228-4862-4a0d-9e2f-f34eef1cff64 · outbound

This paper cites Anytime motion planning using the rrt.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Anytime motion planning using the rrt

Reference 22

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Observation 7f413824-37fb-4e69-af21-e640816abfa1 · outbound

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

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation 3d diffuser actor: Policy diffusion with 3d scene representations

Reference 23

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Observation 17b70279-8c04-4e1a-8ab9-d574f89d8572 · outbound

This paper cites Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Fine-Tuning Vision-Language-Action Models: Optimizing Speed and Success

Reference 24

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Observation 504328f5-e7e7-4e17-8989-94ba0dbb110d · outbound

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

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Rrt-connect: An efficient approach to single-query path planning

Reference 25

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Observation 3934d377-72b0-48b3-a61e-5a56cdbb8982 · outbound

This paper cites Rapidly-exploring random trees: A new tool for path planning.ResearchReport9811, 1998.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Rapidly-exploring random trees: A new tool for path planning.ResearchReport9811, 1998

Reference 26

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Observation b8d87df1-5a66-4f54-9f0c-a952a13388c2 · outbound

This paper cites Curriculum offline imitating learning.AdvancesinNeuralInformationProcessingSystems, 34:6266–6277, 2021.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Curriculum offline imitating learning.AdvancesinNeuralInformationProcessingSystems, 34:6266–6277, 2021

Reference 27

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Observation 5262ce23-7a29-4817-8202-5e09baf7e5f6 · outbound

This paper cites Rdt-1b: a diffusion foundation model for bimanual manipulation.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Rdt-1b: a diffusion foundation model for bimanual manipulation

Reference 28

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Observation 18447fba-bbeb-40de-a420-15404caac84b · outbound

This paper cites ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic Manipulation

Reference 29

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Observation 051f21b3-2dd9-4d94-8290-7993cc4875eb · outbound

This paper cites What matters in learning from offline human demonstrations for robot manipulation.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation What matters in learning from offline human demonstrations for robot manipulation

Reference 30

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Observation 10eca440-38b8-4837-b24c-853c7873ec19 · outbound

This paper cites Receding horizon control of nonlinear systems.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Receding horizon control of nonlinear systems

Reference 31

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Observation a99e58fc-6a74-43ac-8fef-28586e02c9e5 · outbound

This paper cites An algorithmic perspective on imitation learning.Foundationsand Trends®inRobotics, 7(1-2):1–179, 2018.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation An algorithmic perspective on imitation learning.Foundationsand Trends®inRobotics, 7(1-2):1–179, 2018

Reference 32

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Observation 61138f34-5cea-43e3-ae56-722bc3a62452 · outbound

This paper cites Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Consistency Policy: Accelerated Visuomotor Policies via Consistency Distillation

Reference 33

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Observation 5531090a-0e9e-4ff7-aded-8722cc653325 · outbound

This paper cites V-rep: A versatile and scalable robot simulation framework.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation V-rep: A versatile and scalable robot simulation framework

Reference 34

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Observation 87ecbf33-c3bd-4e80-b813-a1b5b8934f30 · outbound

This paper cites Learning from demonstration.Advancesinneuralinformationprocessingsystems, 9, 1996.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Learning from demonstration.Advancesinneuralinformationprocessingsystems, 9, 1996

Reference 35

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Observation 994e5d7a-f916-49cc-8ecd-568c0e43b2c8 · outbound

This paper cites Is imitation learning the route to humanoid robots?Trendsincognitivesciences, 3(6):233–242, 1999.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Is imitation learning the route to humanoid robots?Trendsincognitivesciences, 3(6):233–242, 1999

Reference 36

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:562c3389df2929fff6d337bfeeff05da7c2396a8de18d23461b8b01391b84adb

Observation 0792c5fd-a6f7-451c-ba03-c7a97466ba63 · outbound

This paper cites Waypoint-based imitation learning for robotic manipulation.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Waypoint-based imitation learning for robotic manipulation

Reference 37

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:fd722ffc6a2fafeb236f4b38a18509262a8e488ff410ac7fe0275e9f15d3e559

Observation 211fe646-383c-4352-a594-95cc345b48fc · outbound

This paper cites Perceiver-actor: A multi-task transformer for robotic manipulation.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Perceiver-actor: A multi-task transformer for robotic manipulation

Reference 38

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:c1541a5e02b70dd0a0b0847f4e2a6ab1a28576de6c542fb2d4a337b1e7dc2fde

Observation 65285e5b-c0cc-49df-8b03-32a8346d3117 · outbound

This paper cites Generative image as action models.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Generative image as action models

Reference 39

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:a2aa75a2cb09740c35509dfb9bb2cd994581ba09934e4955611ffa66bebad66a

Observation 81873772-ec96-4b8c-af5d-3955d85081b5 · outbound

This paper cites Denoising diffusion implicit models.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Denoising diffusion implicit models

Reference 40

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:eda52939086a1c21fbed6e039efa8051d64fadcffa808ccbef6b31a890946cf8

Observation 9f510978-58db-4b4b-916a-8e469d7ca05a · outbound

This paper cites What’s the move? hybrid imitation learning via salient points.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation What’s the move? hybrid imitation learning via salient points

Reference 41

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:b880e8fcf334d3aa339db32ebea755d2996784558754da67cec696e6cc660c75

Observation 9fb89057-e0d7-48fb-ac62-5b5ef38906db · outbound

This paper cites Octo: An Open-Source Generalist Robot Policy.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Octo: An Open-Source Generalist Robot Policy

Reference 42

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:ac97e9851cbe90dfbec8af3c58d0bd253a618f8229b11b10915c393eeb47dd2a

Observation e10a38c2-a73f-4208-94fa-968b539e90b3 · outbound

This paper cites Hierarchical diffusion policy: manipulation trajectory generation via contact guidance.IEEETransactionson Robotics, 2025.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Hierarchical diffusion policy: manipulation trajectory generation via contact guidance.IEEETransactionson Robotics, 2025

Reference 43

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:dd68c9f9ac7fec5e0febd4955b8f1745a8c2c40756a181c3509e00dd27491a4e

Observation c9e80cd2-f294-486f-b879-94651c90cfab · outbound

This paper cites Group normalization.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Group normalization

Reference 44

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:4894628865039666c59cd677012afbd965349f4890d368785cc1860690ba7a23

Observation b51b3543-2cad-460c-80bf-6694fdcd6da9 · outbound

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

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Chaineddiffuser: Unifying trajectory diffusion and keypose prediction for robotic manipulation

Reference 45

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:9d42f574d0b5db0f4cd95512eec866d18ae1dbde9e4906d66fb01206f1e4e5e6

Observation 60caf69d-3ae5-4523-a4c7-13cadcd9092a · outbound

This paper cites Human2robot: Learning robot actions from paired human-robot videos.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Human2robot: Learning robot actions from paired human-robot videos

Reference 46

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:677e37a3eb084fed3fe8e46bef5bd35d7d1bccb62fca888bc1ab62751da1c4fd

Observation d72cc96b-d0e4-4834-82e5-cb8655486edc · outbound

This paper cites BiKC: Keypose-Conditioned Consistency Policy for Bimanual Robotic Manipulation.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation BiKC: Keypose-Conditioned Consistency Policy for Bimanual Robotic Manipulation

Reference 47

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:6dfef05edbcf77d1ba3d655a4701de61d75d7c7ad692e765f42532ef9afd22bb

Observation 165ef2d2-b44d-41e0-adce-e60b5c86873b · outbound

This paper cites Asurveyofimitationlearning: Algorithms, recent developments, and challenges.IEEE Transactionson Cybernetics, 2024.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Asurveyofimitationlearning: Algorithms, recent developments, and challenges.IEEE Transactionson Cybernetics, 2024

Reference 48

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:e5ae33ebcd7482f5518b4618297571e0793b3027369acadcb9874cb1583d5426

Observation 68854900-70c7-45a6-9270-a6a55a96f924 · outbound

This paper cites Gnfactor: Multi-task real robot learning with generalizable neural feature fields.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Gnfactor: Multi-task real robot learning with generalizable neural feature fields

Reference 49

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:0474de508ec99150b7e2113be85e9e8ddf55c7dcfd0f4f8e18b061d53eb49d29

Observation 10f14510-c3c3-45a3-af9b-701d0f2bb6f0 · outbound

This paper cites 3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations.Robotics: Scienceand SystemsXX, 2024.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation 3d diffusion policy: Generalizable visuomotor policy learning via simple 3d representations.Robotics: Scienceand SystemsXX, 2024

Reference 50

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:1262da3fa1f52301783bc54fe9407b2103f3cea3134e6ffb5103e6f53d8aaf1d

Observation 0680e248-d232-4c48-92b9-471bf55a9849 · outbound

This paper cites Generalizable humanoid manipulation with 3d diffusion policies.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Generalizable humanoid manipulation with 3d diffusion policies

Reference 51

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:30d8031ee56537ac387f563fcf78e00e2a75907f81cc2985cf4786e6e32b60b7

Observation a3cecfcf-3146-4283-9549-d3e9f4ecfe36 · outbound

This paper cites Chain-of-action: Trajectory autoregressive modeling for robotic manipulation.arXiv preprint arXiv:2506.09990, 2025.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Chain-of-action: Trajectory autoregressive modeling for robotic manipulation.arXiv preprint arXiv:2506.09990, 2025

Reference 52

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Observation acaf30f9-76a0-4c6a-9b0e-2970f44cb163 · outbound

This paper cites Effective tuning strategies for generalist robot manipulation policies.

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Effective tuning strategies for generalist robot manipulation policies

Reference 53

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:19a7acd7e30e09717f048e39268de438dbbdec8f595709f972e2a8cc26a03384

Observation 1bb3e63d-009d-47d5-8934-f46b9367ec6e · outbound

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

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation Learning Fine-Grained Bimanual Manipulation with Low-Cost Hardware

Reference 54

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source=pdf_text observed=2026-07-14T07:33:51.586265Z digest=sha256:ccf2066db7c3ed3c38effd6977d0cffef268428f8e3d1c9b6b9a552fcfc2059c

Pith citing papers

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