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Paper Citation Record · LEDGER

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators

As of 21 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2509.11185.

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

pith.paper-citation-record.v1
2509.11185 v1

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measured 35 of 35 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-04T17:01:24.305964Z

measured 36 of 36 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T06:36:40.317160Z

measured 0 of 1 external citation measurements

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Source: arxiv_reference, observed 2026-07-03T15:18:33.113501Z

Reference resolution

35 of 35 outbound references displayed

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Outbound references

Observation 1728e8a3-591c-44d3-bbbb-fcca267a1c2b · outbound

This paper cites Path planning for robotic manip- ulator in complex multi-obstacle environment based on Improved_RRT,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Path planning for robotic manip- ulator in complex multi-obstacle environment based on Improved_RRT,

Reference 1

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Observation 7c0fbbe8-9923-4468-8c29-06f22f87d194 · outbound

This paper cites CuRobo: Parallelized collision-free robot motion genera- tion,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators CuRobo: Parallelized collision-free robot motion genera- tion,

Reference 2

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Observation d1247fa5-14d5-448a-9934-5c5418156c70 · outbound

This paper cites Environment-adaptive path planning method for industrial robot ma- nipulators,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Environment-adaptive path planning method for industrial robot ma- nipulators,

Reference 3

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Observation 68e7d942-1b29-4511-b09f-d45e56fb6dc7 · outbound

This paper cites Reactive collision-free motion generation in joint space via dynamical systems and sampling-based mpc,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Reactive collision-free motion generation in joint space via dynamical systems and sampling-based mpc,

Reference 4

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Observation 755d4e7c-acd0-4230-8099-a8f920f53ae9 · outbound

This paper cites Motion policy networks,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Motion policy networks,

Reference 5

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Observation 1479895d-d329-4a4f-a43d-4b6ee747f756 · outbound

This paper cites Neural manipulation planning on constraint manifolds,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Neural manipulation planning on constraint manifolds,

Reference 6

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Observation e6a31d10-472b-4acc-9261-f079e6312c2a · outbound

This paper cites Dynamically constrained motion planning networks for non-holonomic robots,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Dynamically constrained motion planning networks for non-holonomic robots,

Reference 7

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Observation 6624b7d9-f3cf-4748-8280-c5cc529372af · outbound

This paper cites Integrating uncertainty-aware human motion prediction into graph-based manipu- lator motion planning,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Integrating uncertainty-aware human motion prediction into graph-based manipu- lator motion planning,

Reference 8

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Observation c0c7b219-0a2a-4ac7-b051-e7d05aceee0d · outbound

This paper cites Constrained motion planning networks x,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Constrained motion planning networks x,

Reference 9

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Observation bc586087-aca6-4c34-a2cc-5664300d6fae · outbound

This paper cites Globally-guided geometric fabrics for reactive mobile manipulation in dynamic environments,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Globally-guided geometric fabrics for reactive mobile manipulation in dynamic environments,

Reference 11

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Observation 8aca1443-580d-4c0c-939f-79dc4ef8d252 · outbound

This paper cites CHOMP: Covariant hamiltonian optimization for motion planning,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators CHOMP: Covariant hamiltonian optimization for motion planning,

Reference 12

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Observation a2b7a8fd-d840-4e55-9473-cc6ca5513850 · outbound

This paper cites SIMPNet: Spatial- informed motion planning network,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators SIMPNet: Spatial- informed motion planning network,

Reference 13

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Observation 18c11774-8adf-479f-9112-30553db46bbe · outbound

This paper cites Motion planning networks: Bridging the gap between learning-based and classical motion planners,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Motion planning networks: Bridging the gap between learning-based and classical motion planners,

Reference 14

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Observation 93426fdc-a5e8-4dea-b95a-4b70a343fcf5 · outbound

This paper cites Efficient motion planning based on kinodynamic model for quadruped robots following persons in confined spaces,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Efficient motion planning based on kinodynamic model for quadruped robots following persons in confined spaces,

Reference 15

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Observation 43787103-b630-4245-9c8e-2a3ef860f560 · outbound

This paper cites Neural MP: A Generalist Neural Motion Planner.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Neural MP: A Generalist Neural Motion Planner

Reference 16

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Observation 973b8aa2-e0af-4b1f-9a43-28cbf747e853 · outbound

This paper cites NTFields: Neural time fields for physics- informed robot motion planning,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators NTFields: Neural time fields for physics- informed robot motion planning,

Reference 17

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Observation 58b64455-5cbd-4f46-9d03-f6aa5a9099da · outbound

This paper cites RMMI: Reactive Mobile Manipulation using an Implicit Neural Map.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators RMMI: Reactive Mobile Manipulation using an Implicit Neural Map

Reference 18

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Observation 805164b5-ab5c-48ed-8de6-b6a93a1326e8 · outbound

This paper cites Aggressive collision-inclusive motion planning,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Aggressive collision-inclusive motion planning,

Reference 19

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Observation d89b9c21-ed84-4563-91ab-97d94b4c03ab · outbound

This paper cites V oxblox: Incremental 3D euclidean signed distance fields for on-board MA V planning,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators V oxblox: Incremental 3D euclidean signed distance fields for on-board MA V planning,

Reference 20

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Observation ef6e1e2a-0a60-480d-a124-126a3c3e675b · outbound

This paper cites V oxfield: Non-projective signed distance fields for online 11 planning and 3D reconstruction,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators V oxfield: Non-projective signed distance fields for online 11 planning and 3D reconstruction,

Reference 21

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Observation 94edcfe6-4a18-4c58-b65e-ee2009be0f63 · outbound

This paper cites nvblox: Gpu-accelerated incremental signed distance field mapping,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators nvblox: Gpu-accelerated incremental signed distance field mapping,

Reference 22

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Observation e22ebc68-c250-4500-b84b-b626b31b67fa · outbound

This paper cites iSDF: Real-time neural signed distance fields for robot perception,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators iSDF: Real-time neural signed distance fields for robot perception,

Reference 23

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Observation 4cf1253b-69da-4aa0-b137-0ed651e38b8d · outbound

This paper cites SHINE-Mapping: Large- scale 3D mapping using sparse hierarchical implicit neural representa- tions,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators SHINE-Mapping: Large- scale 3D mapping using sparse hierarchical implicit neural representa- tions,

Reference 24

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Observation 7b1a620e-4f99-4c35-92b5-d202dacfc3c6 · outbound

This paper cites G2-sdf: Geometry-guided neural signed distance fields for scalable and detailed reconstruction,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators G2-sdf: Geometry-guided neural signed distance fields for scalable and detailed reconstruction,

Reference 25

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Observation 0246f528-9335-4ce5-a9db-cef845779de8 · outbound

This paper cites A collision-free mpc for whole-body dynamic locomotion and manipula- tion,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators A collision-free mpc for whole-body dynamic locomotion and manipula- tion,

Reference 26

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Observation 37c921e8-ddf5-4457-8e15-a7b55f45f125 · outbound

This paper cites Avoid everything: Model-free collision avoidance with expert-guided fine-tuning,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Avoid everything: Model-free collision avoidance with expert-guided fine-tuning,

Reference 27

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Observation f08ae7ab-908d-484f-9220-67c8f3079bbc · outbound

This paper cites Collision-free motion generation based on stochastic optimization and composite signed distance field networks of articulated robot,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Collision-free motion generation based on stochastic optimization and composite signed distance field networks of articulated robot,

Reference 28

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Observation 4e755423-953a-4655-8b98-fc1e37c49320 · outbound

This paper cites Perceptual local collision-free motion generation for manipulators,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Perceptual local collision-free motion generation for manipulators,

Reference 29

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Observation 68b05c5a-0388-484e-9386-1fa4f9e931df · outbound

This paper cites A constrained motion planning method exploiting learned latent space for high-dimensional state and constraint spaces,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators A constrained motion planning method exploiting learned latent space for high-dimensional state and constraint spaces,

Reference 30

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Observation 8aeca89c-07c1-4bae-831d-0c7274c1db5c · outbound

This paper cites Motion planning diffusion: Learning and adapting robot motion planning with diffusion models,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Motion planning diffusion: Learning and adapting robot motion planning with diffusion models,

Reference 31

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Observation 3ea943b1-da4e-426a-85b0-4f9ee3b51a26 · outbound

This paper cites Adaptive trajectory learning with obstacle awareness for motion planning,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Adaptive trajectory learning with obstacle awareness for motion planning,

Reference 32

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Observation e484100d-66be-4d29-8498-22318c02ae79 · outbound

This paper cites Representing robot geometry as distance fields: Applications to whole-body manipulation,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Representing robot geometry as distance fields: Applications to whole-body manipulation,

Reference 33

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Observation ccbbc62e-796c-44bc-abd9-84a806457cf0 · outbound

This paper cites Instant neural graphics primitives with a multiresolution hash encoding,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Instant neural graphics primitives with a multiresolution hash encoding,

Reference 34

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Observation 429ade06-d459-44d4-91c6-6d7922d4a944 · outbound

This paper cites Spatial transformer networks,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators Spatial transformer networks,

Reference 35

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Observation 452ea2ec-8d89-4c21-a896-2bcf337135d5 · outbound

This paper cites PointNet: Deep learning on point sets for 3D classification and segmentation,.

SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators PointNet: Deep learning on point sets for 3D classification and segmentation,

Reference 36

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Pith citing papers

Observation 20eefc25-9a1d-4c73-abde-41a5c3c23547 · inbound

EmbodiSteer: Steering Embodiment-Agnostic Visuomotor Policies with Joint-Space Guidance for Zero-Shot Cross-Embodiment Deployment cites this paper.

EmbodiSteer: Steering Embodiment-Agnostic Visuomotor Policies with Joint-Space Guidance for Zero-Shot Cross-Embodiment Deployment SAMP: Spatial Anchor-based Motion Policy for Collision-Aware Robotic Manipulators

Reference 51

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arxiv_id, observed 2026-07-03T15:18:33.115381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-27T06:36:40.317160Z digest=sha256:9eed43e667ad7ef6b43a4ade2ecefa88a18594dac9519f73c04f755f04dc87d3