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Paper Citation Record · LEDGER

Manifold-Guided Motion Planning for Tight Assemblies

As of 9 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 0 inbound Pith citation observations for arXiv:2607.17898.

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

pith.paper-citation-record.v1
2607.17898 v1

Coverage vector

measured 73 of 73 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T16:46:00.053283Z

measured 73 of 73 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

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

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Reference resolution

73 of 73 outbound references displayed

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Outbound references

Observation b94ac7dc-44eb-4d17-a802-6c04e5bbd7d7 · outbound

This paper cites an unresolved cited work.

Manifold-Guided Motion Planning for Tight Assemblies Unresolved cited work

Reference 1

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Observation 3be00e14-a1c9-46a9-ad2b-8fa703fdb639 · outbound

This paper cites Probabilistic Roadmaps for path planning in high-dimensional configuration spaces,.

Manifold-Guided Motion Planning for Tight Assemblies Probabilistic Roadmaps for path planning in high-dimensional configuration spaces,

Reference 2

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Observation 206ffe8f-1981-46cb-a5c8-88ce943db6fc · outbound

This paper cites Rapidly-Exploring Random Trees: a new tool for path planning,.

Manifold-Guided Motion Planning for Tight Assemblies Rapidly-Exploring Random Trees: a new tool for path planning,

Reference 3

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Observation 064baa7a-13f8-4c88-b939-4572671f9bf8 · outbound

This paper cites Rapidly-exploring random trees: Progress and prospects: Steven m. lavalle, iowa state university, a james j. kuffner, jr., university of tokyo, tokyo, japan,.

Manifold-Guided Motion Planning for Tight Assemblies Rapidly-exploring random trees: Progress and prospects: Steven m. lavalle, iowa state university, a james j. kuffner, jr., university of tokyo, tokyo, japan,

Reference 4

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Observation f9c68170-ad5a-407e-bd61-414cc38e0e04 · outbound

This paper cites Recent advances in Rapidly-Exploring Random Tree: A review,.

Manifold-Guided Motion Planning for Tight Assemblies Recent advances in Rapidly-Exploring Random Tree: A review,

Reference 5

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Observation f7c0094b-eb90-4fa7-87f0-622822f1bdf1 · outbound

This paper cites Path planning in expansive configu- ration spaces,.

Manifold-Guided Motion Planning for Tight Assemblies Path planning in expansive configu- ration spaces,

Reference 6

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Observation ade55c40-b40c-49bd-9852-d7b9e8b36d70 · outbound

This paper cites Analysis of probabilistic roadmaps for path planning,.

Manifold-Guided Motion Planning for Tight Assemblies Analysis of probabilistic roadmaps for path planning,

Reference 7

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Observation f4ea08f5-4cd5-47b4-8b6a-95fa7b49d537 · outbound

This paper cites On the power of manifold samples in exploring configuration spaces and the dimensionality of narrow passages,.

Manifold-Guided Motion Planning for Tight Assemblies On the power of manifold samples in exploring configuration spaces and the dimensionality of narrow passages,

Reference 8

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Observation c2243e70-bb6d-434d-baaa-2fc73ce4e6a5 · outbound

This paper cites The bridge test for sampling narrow pas- sages with probabilistic roadmap planners,.

Manifold-Guided Motion Planning for Tight Assemblies The bridge test for sampling narrow pas- sages with probabilistic roadmap planners,

Reference 9

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Observation 302626e5-d791-4ce9-aa15-58040250fad7 · outbound

This paper cites Narrow passage sampling for proba- bilistic roadmap planners,.

Manifold-Guided Motion Planning for Tight Assemblies Narrow passage sampling for proba- bilistic roadmap planners,

Reference 10

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Observation faa12188-bdf1-4c78-a1db-e0770e8435a9 · outbound

This paper cites Path planning in complex 3d environments using a probabilistic roadmap method,.

Manifold-Guided Motion Planning for Tight Assemblies Path planning in complex 3d environments using a probabilistic roadmap method,

Reference 11

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Observation ebb752d9-3ff9-4082-a55d-348a6106cc9f · outbound

This paper cites A hybrid approach for complete motion planning,.

Manifold-Guided Motion Planning for Tight Assemblies A hybrid approach for complete motion planning,

Reference 12

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Observation a1f54f42-58ca-49e9-a643-5cf71891a3b9 · outbound

This paper cites Soft subdivision search in motion planning,.

Manifold-Guided Motion Planning for Tight Assemblies Soft subdivision search in motion planning,

Reference 13

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Observation e027cdac-b4ab-4936-a9be-9e9b6b3c0750 · outbound

This paper cites Soft subdivision search in motion planning, ii: axiomatics,.

Manifold-Guided Motion Planning for Tight Assemblies Soft subdivision search in motion planning, ii: axiomatics,

Reference 14

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Observation 6a725b07-95f6-4fa7-951d-190ac0b6856b · outbound

This paper cites Theory and Explicit Design of a Path Planner for an SE(3) Robot.

Manifold-Guided Motion Planning for Tight Assemblies Theory and Explicit Design of a Path Planner for an SE(3) Robot

Reference 15

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Observation 6dbe017f-6cc8-4841-ae9b-18c78a199efb · outbound

This paper cites Compliant manipulation planning,.

Manifold-Guided Motion Planning for Tight Assemblies Compliant manipulation planning,

Reference 16

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Observation 8fb9e649-d854-4512-a95e-2591bfd686c1 · outbound

This paper cites Active compliant motion: A survey,.

Manifold-Guided Motion Planning for Tight Assemblies Active compliant motion: A survey,

Reference 17

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Observation e4f6f52d-90e8-4b9d-b420-a80f5a6b5f05 · outbound

This paper cites Compliant robot motion i: A formalism for specifying compliant motion tasks,.

Manifold-Guided Motion Planning for Tight Assemblies Compliant robot motion i: A formalism for specifying compliant motion tasks,

Reference 18

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Observation 3fdfe7cf-4783-451a-81e0-43529a439d0d · outbound

This paper cites Assemble Them All: Physics-Based Planning for Generalizable Assembly By Disassembly,.

Manifold-Guided Motion Planning for Tight Assemblies Assemble Them All: Physics-Based Planning for Generalizable Assembly By Disassembly,

Reference 19

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Observation 36577d2c-43f0-45df-817b-9124f2de35d4 · outbound

This paper cites C-space tunnel discovery for puzzle path planning,.

Manifold-Guided Motion Planning for Tight Assemblies C-space tunnel discovery for puzzle path planning,

Reference 20

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Observation 33f5ca0f-6e8a-4c4c-97b9-3bdd1ad1ea3c · outbound

This paper cites Adaptive experience sampling for motion planning using the generator–critic framework,.

Manifold-Guided Motion Planning for Tight Assemblies Adaptive experience sampling for motion planning using the generator–critic framework,

Reference 21

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Observation 15a18120-3b90-416a-aa22-188f2fc96d7e · outbound

This paper cites Sample-driven connectivity learning for motion plan- ning in narrow passages,.

Manifold-Guided Motion Planning for Tight Assemblies Sample-driven connectivity learning for motion plan- ning in narrow passages,

Reference 22

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Observation 10624acf-dc7d-482b-9577-2c9a1e68347e · outbound

This paper cites Manipulation planning on constraint manifolds,.

Manifold-Guided Motion Planning for Tight Assemblies Manipulation planning on constraint manifolds,

Reference 23

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Observation 59f677a3-10d2-4d5e-9110-154287190fb0 · outbound

This paper cites Path planning under kinematic constraints by Rapidly- Exploring Random Trees,.

Manifold-Guided Motion Planning for Tight Assemblies Path planning under kinematic constraints by Rapidly- Exploring Random Trees,

Reference 24

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Observation 384e3477-4f44-47d1-8bdc-0b415b87c8fb · outbound

This paper cites A general method for sampling on im- plicit manifolds,.

Manifold-Guided Motion Planning for Tight Assemblies A general method for sampling on im- plicit manifolds,

Reference 25

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Observation 0a13e225-35b9-4841-8f45-5ce3e141c50d · outbound

This paper cites Exploring implicit configuration spaces,.

Manifold-Guided Motion Planning for Tight Assemblies Exploring implicit configuration spaces,

Reference 26

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Observation 1856bb64-80ac-42ea-9e79-4e7d38e3b2a0 · outbound

This paper cites Sampling-based methods for mo- tion planning with constraints,.

Manifold-Guided Motion Planning for Tight Assemblies Sampling-based methods for mo- tion planning with constraints,

Reference 27

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Observation 1dc8e6d2-d11d-4b64-ad6f-39ccc17e5a93 · outbound

This paper cites Tight Motion Planning by Rie- mannian Optimization for Sliding and Rolling with Finite Number of Contact Points,.

Manifold-Guided Motion Planning for Tight Assemblies Tight Motion Planning by Rie- mannian Optimization for Sliding and Rolling with Finite Number of Contact Points,

Reference 28

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Observation 9ccff1cd-9d4b-4b94-a990-af135ab69470 · outbound

This paper cites Reporting neighbors in high-dimensional euclidean space,.

Manifold-Guided Motion Planning for Tight Assemblies Reporting neighbors in high-dimensional euclidean space,

Reference 29

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Observation fffc0127-51f7-4a8d-a755-e101ef070ff1 · outbound

This paper cites Efficient high-quality motion plan- ning by fast all-pairs r-nearest-neighbors,.

Manifold-Guided Motion Planning for Tight Assemblies Efficient high-quality motion plan- ning by fast all-pairs r-nearest-neighbors,

Reference 30

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Observation c2017e71-546d-43d6-8ce0-3fa3130321f4 · outbound

This paper cites Perspectives on Euler angle singulari- ties, gimbal lock, and the orthogonality of applied forces and applied moments,.

Manifold-Guided Motion Planning for Tight Assemblies Perspectives on Euler angle singulari- ties, gimbal lock, and the orthogonality of applied forces and applied moments,

Reference 31

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Observation 7985481f-bd07-4401-a805-2d6312cb65b9 · outbound

This paper cites Special Orthogonal Group SO(3), Euler Angles, Angle-axis, Rodriguez Vector and Unit-Quaternion: Overview, Mapping and Challenges.

Manifold-Guided Motion Planning for Tight Assemblies Special Orthogonal Group SO(3), Euler Angles, Angle-axis, Rodriguez Vector and Unit-Quaternion: Overview, Mapping and Challenges

Reference 32

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Observation 653321ef-7aad-4e3c-9d38-877851dd6e91 · outbound

This paper cites an unresolved cited work.

Manifold-Guided Motion Planning for Tight Assemblies Unresolved cited work

Reference 33

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Observation 5b1501f0-d0d4-45fe-97b5-7e82e21500d2 · outbound

This paper cites Representing attitude: Euler angles, unit quaternions, and rotation vectors,.

Manifold-Guided Motion Planning for Tight Assemblies Representing attitude: Euler angles, unit quaternions, and rotation vectors,

Reference 34

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Observation 745f75a5-c266-40e5-93f9-e3f22cca2516 · outbound

This paper cites The Haar measure in solid mechanics.

Manifold-Guided Motion Planning for Tight Assemblies The Haar measure in solid mechanics

Reference 35

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Observation dfefb7c9-18d8-4dea-acf9-52847d305653 · outbound

This paper cites Finite metric spaces--combinatorics, geometry and algorithms.

Manifold-Guided Motion Planning for Tight Assemblies Finite metric spaces--combinatorics, geometry and algorithms

Reference 36

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Observation 3d1276ac-4955-42f0-aaa4-08129c16852d · outbound

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Manifold-Guided Motion Planning for Tight Assemblies Unresolved cited work

Reference 37

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Observation 59e42b87-24cc-424e-839d-f917c7f43686 · outbound

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Manifold-Guided Motion Planning for Tight Assemblies Unresolved cited work

Reference 38

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source=pdf_text observed=2026-08-01T16:45:59.930936Z digest=sha256:aa94a35a21b43451963a95ec017c59ad66d6bdbc0e0113e0c24b67f7eca8da90

Observation f809e32b-5c3a-45dd-a614-6b510a7999f6 · outbound

This paper cites 3d distance fields: A survey of techniques and applications,.

Manifold-Guided Motion Planning for Tight Assemblies 3d distance fields: A survey of techniques and applications,

Reference 39

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source=pdf_text observed=2026-08-01T16:45:59.933874Z digest=sha256:ff30d0f7f5f651d619d6fa2c2fc31329c390a22baadcc1912a9316df49c2999e

Observation ed4e34f0-8a8b-45ac-bc1c-95e97473e6c2 · outbound

This paper cites A survey and benchmark of automatic surface reconstruction from point clouds,.

Manifold-Guided Motion Planning for Tight Assemblies A survey and benchmark of automatic surface reconstruction from point clouds,

Reference 40

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source=pdf_text observed=2026-08-01T16:45:59.936774Z digest=sha256:4720d68f1c0b802ba38ac345ec64557df15e1c1771af16f4051c33b369a4fee5

Observation 94a03288-5288-476c-ab9f-f7304d70d9e5 · outbound

This paper cites Computing local signed distance fields for large polygonal models,.

Manifold-Guided Motion Planning for Tight Assemblies Computing local signed distance fields for large polygonal models,

Reference 41

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source=pdf_text observed=2026-08-01T16:45:59.939540Z digest=sha256:11b946c42a10d3cbc9b05c101dac9ee28603d6fe0cb740e7c0fd60a2041523ca

Observation f062726e-c54b-41c0-aa1b-d0c9270dbff0 · outbound

This paper cites Generating signed distance fields on the GPU with ray maps,.

Manifold-Guided Motion Planning for Tight Assemblies Generating signed distance fields on the GPU with ray maps,

Reference 42

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source=pdf_text observed=2026-08-01T16:45:59.942183Z digest=sha256:6893b62e1f391a4dbd66fd45db13cd492f68030f99ec6c4c7d6d01fe92e53546

Observation 2dba4d97-cd72-493a-afad-70bb57b97675 · outbound

This paper cites PSDF fusion: Probabilistic signed distance function for on-the-fly 3D data fusion and scene reconstruction,.

Manifold-Guided Motion Planning for Tight Assemblies PSDF fusion: Probabilistic signed distance function for on-the-fly 3D data fusion and scene reconstruction,

Reference 43

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source=pdf_text observed=2026-08-01T16:45:59.944966Z digest=sha256:ce18d608dc69f176550d9d8f93a1253bb086a7b287ed253229cac10f6382432a

Observation 06d48cbe-c423-44a7-ac57-926f25e7813f · outbound

This paper cites Signed distance transform using graphics hardware,.

Manifold-Guided Motion Planning for Tight Assemblies Signed distance transform using graphics hardware,

Reference 44

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source=pdf_text observed=2026-08-01T16:45:59.947674Z digest=sha256:80eb39bf8f34d5738b9459db3413af63a1fe81a3b3225ff32b7a951273a219d5

Observation 50a0bfe6-a0de-4d02-b74c-f7097c161414 · outbound

This paper cites A fast sweeping method for Eikonal equations,.

Manifold-Guided Motion Planning for Tight Assemblies A fast sweeping method for Eikonal equations,

Reference 45

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source=pdf_text observed=2026-08-01T16:45:59.950731Z digest=sha256:036a75f7ee7c82622c3f7e0acafd7b8442fdfdd6a638a29a107a0a8a3ad33ffb

Observation 411bdb78-325e-4404-ba6b-3a4a76de61f0 · outbound

This paper cites On the Effectiveness of Weight-Encoded Neural Implicit 3D Shapes.

Manifold-Guided Motion Planning for Tight Assemblies On the Effectiveness of Weight-Encoded Neural Implicit 3D Shapes

Reference 46

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source=pdf_text observed=2026-08-01T16:45:59.953622Z digest=sha256:45b4288dfdb0fce268494cfe99fb9c114fec46b20a586bb0ede3c7d4ec1c222e

Observation 1741da6a-dafe-432d-bb5d-4d3f544f30ea · outbound

This paper cites Learning models as func- tionals of signed-distance fields for manipulation planning,.

Manifold-Guided Motion Planning for Tight Assemblies Learning models as func- tionals of signed-distance fields for manipulation planning,

Reference 47

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source=pdf_text observed=2026-08-01T16:45:59.956874Z digest=sha256:d00aa8834f987dd4609ada41d30f6f1538f30b3426c48bb32dc0c1ab2d93119f

Observation f3530fc4-c7c3-45d4-b29a-c6cff6dddf85 · outbound

This paper cites Neural NMPC through signed distance field encoding for collision avoidance,.

Manifold-Guided Motion Planning for Tight Assemblies Neural NMPC through signed distance field encoding for collision avoidance,

Reference 48

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source=pdf_text observed=2026-08-01T16:45:59.959832Z digest=sha256:423dde85c7aed28c5516324d6b9d98b329dfd01278dbd2c838d7f5060730a09b

Observation c2f323d3-9e60-4eee-87c1-42001e18d761 · outbound

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

Manifold-Guided Motion Planning for Tight Assemblies Representing robot geometry as distance fields: Applications to whole-body manipulation,

Reference 49

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source=pdf_text observed=2026-08-01T16:45:59.962851Z digest=sha256:b6dfa2464e2c17708a688116d879b0cfa43c9e723a9cc026de5eee1016615072

Observation 71cf3154-6b5c-44bf-a4bf-b5acfe8176fb · outbound

This paper cites Deepsdf: Learning continuous signed distance functions for shape representation,.

Manifold-Guided Motion Planning for Tight Assemblies Deepsdf: Learning continuous signed distance functions for shape representation,

Reference 50

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source=pdf_text observed=2026-08-01T16:45:59.966170Z digest=sha256:184eca18b6722c9286d03bc233242082e0401b2c750ca5fb33ad4e91d7dbf84c

Observation 35ac7f8b-2d60-49ab-bd42-f2e4f63ef228 · outbound

This paper cites Diffusion-based signed distance fields for 3D shape generation,.

Manifold-Guided Motion Planning for Tight Assemblies Diffusion-based signed distance fields for 3D shape generation,

Reference 51

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source=pdf_text observed=2026-08-01T16:45:59.969432Z digest=sha256:85a2d492bc8ced29bf4881dda8931d6dcedb429d9b6fe7ce7145575ff5df8178

Observation 9ec98b7c-67d1-4f14-86b7-d033d6f7a305 · outbound

This paper cites ContactSDF: Signed Distance Functions as multi-contact models for dexterous manipulation,.

Manifold-Guided Motion Planning for Tight Assemblies ContactSDF: Signed Distance Functions as multi-contact models for dexterous manipulation,

Reference 52

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source=pdf_text observed=2026-08-01T16:45:59.972508Z digest=sha256:e1f8a150cd520a907c147e91ddc2695087fc533261124978ea48e1bd16a59087

Observation 5caf287a-e79a-4599-9265-7b85148a509c · outbound

This paper cites 3D collision detection: A survey,.

Manifold-Guided Motion Planning for Tight Assemblies 3D collision detection: A survey,

Reference 53

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T16:45:59.975985Z digest=sha256:03838abd6419da918bd3f94afe92f9ab9c120bf8c501675dba2c4026f861a3dd

Observation 5b13532f-2d80-4438-8883-7781954d6caf · outbound

This paper cites Continuous collision detec- tion between points and signed distance fields,.

Manifold-Guided Motion Planning for Tight Assemblies Continuous collision detec- tion between points and signed distance fields,

Reference 54

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source=pdf_text observed=2026-08-01T16:45:59.978861Z digest=sha256:cfacb953b872252444bb3e6629a803a1fd2c315cac535aaadfc46ec4ec874abc

Observation f568a471-b395-4b66-aec8-09626807ab86 · outbound

This paper cites Neural Implicit Surfaces for Efficient and Accurate Collisions in Physically Based Simulations.

Manifold-Guided Motion Planning for Tight Assemblies Neural Implicit Surfaces for Efficient and Accurate Collisions in Physically Based Simulations

Reference 55

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source=pdf_text observed=2026-08-01T16:45:59.981667Z digest=sha256:021c64eabbdfb3f60d348e67031535033235c122628992805a386a12517b79ad

Observation 76d1fc05-1c91-4500-8bb1-ee2e51796f03 · outbound

This paper cites Hierarchical HP-Adaptive signed distance fields,.

Manifold-Guided Motion Planning for Tight Assemblies Hierarchical HP-Adaptive signed distance fields,

Reference 56

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-01T16:45:59.984891Z digest=sha256:bf42cea9dbaec2b1b4f968fe35779b9531772a9d76499249889e2f24c918c729

Observation ace467b4-4131-4cb3-80a1-b87366dfd670 · outbound

This paper cites Local optimization for robust signed distance field collision,.

Manifold-Guided Motion Planning for Tight Assemblies Local optimization for robust signed distance field collision,

Reference 57

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source=pdf_text observed=2026-08-01T16:45:59.987817Z digest=sha256:74dcc25265da4488806ec094cb4679065fefb70b547af831c75e1e2b69b80699

Observation a5e5fdb1-5c77-4fcd-81a1-240c44c0e476 · outbound

This paper cites 6-DOF Haptic rendering using continuous collision detec- tion between points and signed distance fields,.

Manifold-Guided Motion Planning for Tight Assemblies 6-DOF Haptic rendering using continuous collision detec- tion between points and signed distance fields,

Reference 58

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source=pdf_text observed=2026-08-01T16:45:59.990755Z digest=sha256:60ff74b02e4a350f27165dbed66bc907d4eba25a646a3d3a7ee83c626dd8e90e

Observation e955912a-ad3a-424e-941d-ce735798bae7 · outbound

This paper cites A Note on the Time Complexity of Using Subdivision Methods for the Approximation of Fibers.

Manifold-Guided Motion Planning for Tight Assemblies A Note on the Time Complexity of Using Subdivision Methods for the Approximation of Fibers

Reference 59

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source=pdf_text observed=2026-08-01T16:45:59.993989Z digest=sha256:809a5c8b980006d017e0bd3500176714ef54772afad660d303d3a892c5346cec

Observation 808a47d6-4d61-47df-aa51-a1ec65b5d183 · outbound

This paper cites Adaptively sam- pled distance fields: A general representation of shape for computer graphics,.

Manifold-Guided Motion Planning for Tight Assemblies Adaptively sam- pled distance fields: A general representation of shape for computer graphics,

Reference 60

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source=pdf_text observed=2026-08-01T16:45:59.997526Z digest=sha256:26226d4ca269dff3fbbad54010f06ad9dbe982f7fe2acf69fff46c6aad891dc0

Observation fe953ff3-0ceb-40a7-adf4-db07afd1f488 · outbound

This paper cites Prob- abilistic completeness of RRT for geometric and kinodynamic planning with forward propagation,.

Manifold-Guided Motion Planning for Tight Assemblies Prob- abilistic completeness of RRT for geometric and kinodynamic planning with forward propagation,

Reference 61

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source=pdf_text observed=2026-08-01T16:46:00.000574Z digest=sha256:7342529937ccf79560d193592c0c3ee8853b3cddf5acc24be578398eef14fe56

Observation 3207d693-f7df-4265-9414-57308e1af24f · outbound

This paper cites Revisiting the asymptotic optimality of RRT,.

Manifold-Guided Motion Planning for Tight Assemblies Revisiting the asymptotic optimality of RRT,

Reference 62

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source=pdf_text observed=2026-08-01T16:46:00.015649Z digest=sha256:996063d14366c7c91d78bfed47b1275d3c330922b83672711461e4dbf05d5b75

Observation f1b86938-e992-409d-876d-91f57fc01b94 · outbound

This paper cites Openmp: an industry standard api for shared- memory programming,.

Manifold-Guided Motion Planning for Tight Assemblies Openmp: an industry standard api for shared- memory programming,

Reference 63

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source=pdf_text observed=2026-08-01T16:46:00.019909Z digest=sha256:022d32580dc6ae232e1d56c9e8f5da430db474288df436aedef91b5c049cf57c

Observation a240a589-f896-4273-b0fd-b034ff039ded · outbound

This paper cites 2D and 3D fast intersection and distance computation,.

Manifold-Guided Motion Planning for Tight Assemblies 2D and 3D fast intersection and distance computation,

Reference 64

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source=pdf_text observed=2026-08-01T16:46:00.023422Z digest=sha256:a71483feb1b8f0c33ca75788ac2b023aac80c8202a0fa565ec4dbbcd15384518

Observation b94ef95e-40c4-48d8-8a1a-3dd096719d23 · outbound

This paper cites The K-Means algorithm: A compre- hensive survey and performance evaluation,.

Manifold-Guided Motion Planning for Tight Assemblies The K-Means algorithm: A compre- hensive survey and performance evaluation,

Reference 65

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source=pdf_text observed=2026-08-01T16:46:00.026768Z digest=sha256:4be74a07b5f4e2497918b6ae3330b6ca505c87473c93f50655b0659ca07c30b8

Observation abe1ac27-759f-4f41-b876-850e08bbcc48 · outbound

This paper cites Some methods for classification and analysis of multivariate ob- servations,.

Manifold-Guided Motion Planning for Tight Assemblies Some methods for classification and analysis of multivariate ob- servations,

Reference 66

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source=pdf_text observed=2026-08-01T16:46:00.030025Z digest=sha256:d6a4c3b9511a79bcda7920fe75a2c6b2e5683ed895a91f21f2a75017e7a90a8c

Observation d21a6bc9-0409-4846-af7b-c2ad23a6935a · outbound

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

Manifold-Guided Motion Planning for Tight Assemblies Sampling-based algorithms for optimal motion planning,

Reference 67

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source=pdf_text observed=2026-08-01T16:46:00.033435Z digest=sha256:3d9304d35706504c06448236ad33685081c889f207536c02d72045af45588cc8

Observation e075e68d-bf7c-4152-acd2-02f84d950214 · outbound

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

Manifold-Guided Motion Planning for Tight Assemblies Batch informed trees (bit*): Informed asymptotically optimal anytime search,

Reference 68

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source=pdf_text observed=2026-08-01T16:46:00.036601Z digest=sha256:2e35fb2fee7778be1820beb0700c7708f881731327d6b5f735599c5f90dffbaa

Observation 2b2a3f4a-7cda-4677-95a4-39de623d87d5 · outbound

This paper cites Kinodynamic motion planning by interior- exterior cell exploration,.

Manifold-Guided Motion Planning for Tight Assemblies Kinodynamic motion planning by interior- exterior cell exploration,

Reference 69

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source=pdf_text observed=2026-08-01T16:46:00.039869Z digest=sha256:c8977cddb133b398b340d2b134024dbfbf5e76fe66b667fc7a5ae6484d24674d

Observation 2e8c2a54-9e94-4004-bc21-efe3878eeca7 · outbound

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

Manifold-Guided Motion Planning for Tight Assemblies Rrt-connect: An efficient approach to single- query path planning,

Reference 70

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source=pdf_text observed=2026-08-01T16:46:00.043202Z digest=sha256:5c62fee4dd3132a3e5ba94f2d25673dfb18885f5b1f9aec5259c08f2e39fdfef

Observation 44d59dc3-3f61-48f3-b0b1-92e234770449 · outbound

This paper cites The Open Motion Planning Library,.

Manifold-Guided Motion Planning for Tight Assemblies The Open Motion Planning Library,

Reference 71

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source=pdf_text observed=2026-08-01T16:46:00.046765Z digest=sha256:51311ca59024306a968cbb4c0dca6312e08c22485543d91b3bd65af367eb9ad3

Observation c8ebb9bd-0c9f-4caa-8790-fbe83c5a1ea9 · outbound

This paper cites Efficient physics-based planning: Sampling search via non-deterministic tactics and skills,.

Manifold-Guided Motion Planning for Tight Assemblies Efficient physics-based planning: Sampling search via non-deterministic tactics and skills,

Reference 72

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source=pdf_text observed=2026-08-01T16:46:00.050092Z digest=sha256:aa62a20d7323fb0b62889eaaf8e61639c7a7c6c417a1ee737a0695087cccf212

Observation 00521621-0605-4404-bce6-c68ae6465942 · outbound

This paper cites A full-cycle assembly operation: From digital planning to trajectory execution using a robotic arm,.

Manifold-Guided Motion Planning for Tight Assemblies A full-cycle assembly operation: From digital planning to trajectory execution using a robotic arm,

Reference 73

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source=pdf_text observed=2026-08-01T16:46:00.053283Z digest=sha256:eaddfd0ca14e8946d612ab77c45c8e585a9b5014676d99d2f6cc0c505bcfcf31

Pith citing papers

No inbound Pith citation observations are available.