Paper Citation Record · LEDGER

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection

As of 14 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2502.04170.

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

pith.paper-citation-record.v1
2502.04170 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T23:25:41.172564Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

verified exact0
verified fuzzy31
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c80a562e-ea58-4e35-a47a-5a264fb98d5e · outbound

This paper cites an unresolved cited work.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Unresolved cited work

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T23:25:41.007310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e888732-64e0-4eaa-a5a2-136161ad4722 · outbound

This paper cites Algorithmic motion plan- ning,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Algorithmic motion plan- ning,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.737282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 90d57604-80ae-47a1-a549-3f6548bd4e8f · outbound

This paper cites Latombe, Robot motion planning.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Latombe, Robot motion planning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.722201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 23ffa810-dba1-4ac5-84f1-5ba6c4a0bab7 · outbound

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

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Sampling-based algorithms for optimal motion planning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.706503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7d7e3700-7177-42bc-964f-08ae2d988a61 · outbound

This paper cites Sampling-based robot motion planning: A review,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Sampling-based robot motion planning: A review,

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-08T23:25:41.027417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 757677a9-026a-42d8-888a-d8cc6db475bf · outbound

This paper cites CHOMP: co- variant hamiltonian optimization for motion planning,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection CHOMP: co- variant hamiltonian optimization for motion planning,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.680753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2782fd92-0475-49bc-bff1-305f39faaaae · outbound

This paper cites Single- and dual-arm motion planning with heuristic search,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Single- and dual-arm motion planning with heuristic search,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.665376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 12ef295d-c5d0-4868-8f26-58340c4fe244 · outbound

This paper cites Sampling-based robot motion planning,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Sampling-based robot motion planning,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.650314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 1e3575ae-d7cb-4192-b4c4-963471e0cd90 · outbound

This paper cites Lazy collision checking in asymptotically-optimal motion planning,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Lazy collision checking in asymptotically-optimal motion planning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.634741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e3772fae-3f7f-470f-bd77-1ab31e3cc812 · outbound

This paper cites Proba- bilistic roadmaps for path planning in high-dimensional configuration spaces,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Proba- bilistic roadmaps for path planning in high-dimensional configuration spaces,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.619546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fe15fd86-62c8-4d0b-aaf7-5c4664570ce8 · outbound

This paper cites Randomized kinodynamic plan- ning,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Randomized kinodynamic plan- ning,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.604147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 2c579ed0-eefa-4fda-a506-d9d2a87d85d7 · outbound

This paper cites A unifying formalism for shortest path problems with expensive edge evaluations via lazy best-first search over paths with edge selectors,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection A unifying formalism for shortest path problems with expensive edge evaluations via lazy best-first search over paths with edge selectors,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.588706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 36c0c24c-32b0-4261-a802-edde69bdf040 · outbound

This paper cites Gen- eralized lazy search for robot motion planning: Interleaving search and edge evaluation via event-based toggles,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Gen- eralized lazy search for robot motion planning: Interleaving search and edge evaluation via event-based toggles,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.573022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dcd23bac-0938-4c56-b5f1-4018c5fa49de · outbound

This paper cites Learning-based proxy collision detection for robot motion planning applications,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Learning-based proxy collision detection for robot motion planning applications,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.557050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation af6305b1-168e-442a-8052-752d62b84ac4 · outbound

This paper cites DiffCo: Autodifferentiable proxy collision detection with multiclass labels for safety-aware trajectory optimization,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection DiffCo: Autodifferentiable proxy collision detection with multiclass labels for safety-aware trajectory optimization,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.542125Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 76ddb65c-dd32-4842-bc60-1c0328847ea4 · outbound

This paper cites Collisiongp: Gaussian process-based collision checking for robot motion planning,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Collisiongp: Gaussian process-based collision checking for robot motion planning,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.526166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3e963c96-d54f-45b3-b78c-f0bbc12f3cd5 · outbound

This paper cites Neural collision clearance estimator for batched motion planning,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Neural collision clearance estimator for batched motion planning,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.492410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 111d605c-26c3-41cf-b753-005d5d3edb33 · outbound

This paper cites A survey of learning-based robot motion planning,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection A survey of learning-based robot motion planning,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.476788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b71f5678-6a66-49ef-b15b-41d9f6c52a3d · outbound

This paper cites A survey on the integration of machine learning with sampling-based motion planning,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection A survey on the integration of machine learning with sampling-based motion planning,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.461330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation bebfa387-1140-4144-9f3e-6bf0746109fd · outbound

This paper cites Shalev-Shwartz and S.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Shalev-Shwartz and S

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.445493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a610128d-81e6-4ed2-8a91-c1c1531fe9d5 · outbound

This paper cites Cristianini, An Introduction to Support Vector Machines and other kernel-based learning methods.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Cristianini, An Introduction to Support Vector Machines and other kernel-based learning methods

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.430052Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 9ff309ed-867c-4683-96af-ffcb130a0327 · outbound

This paper cites Active learning literature survey,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Active learning literature survey,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-08T23:25:41.107123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09298ed7-46c4-4831-9adc-934b3efd3f28 · outbound

This paper cites Forward kinematics kernel for improved proxy collision checking,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Forward kinematics kernel for improved proxy collision checking,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.509539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fbe6110a-f977-4ce2-9b24-fbc1531c3b86 · outbound

This paper cites Reducing collision checking for sampling-based motion planning using graph neural networks,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Reducing collision checking for sampling-based motion planning using graph neural networks,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.406634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation fbb9033d-aefa-49f1-b8dc-a6442a3dee2a · outbound

This paper cites Graph neural networks: A review of methods and applications,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Graph neural networks: A review of methods and applications,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-08T23:25:41.119973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a0cec71-50f8-4ec0-9ba9-03b625aa7a28 · outbound

This paper cites Learning-based motion planning in dynamic environments using GNNs and temporal encoding,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Learning-based motion planning in dynamic environments using GNNs and temporal encoding,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.380077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b2a80b2b-7e2b-4c45-88bc-f934cb2685cf · outbound

This paper cites Configuration space distance fields for manipulation planning,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Configuration space distance fields for manipulation planning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.365673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 35a1d5b0-0e21-4fb0-8680-8a2392eb8270 · outbound

This paper cites Neural joint space implicit signed distance functions for reactive robot manipulator control,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Neural joint space implicit signed distance functions for reactive robot manipulator control,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.350970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 3235a500-7a1f-4348-83fd-41c8d2c444c1 · outbound

This paper cites an unresolved cited work.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-08T23:25:41.336714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0b78b61a-cf16-4efa-83ea-b026d01ee8df · outbound

This paper cites Sample complexity of prob- abilistic roadmaps via ϵ-nets,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Sample complexity of prob- abilistic roadmaps via ϵ-nets,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.322187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 89180fd5-0fc3-44be-b0e4-9481c6829196 · outbound

This paper cites Near-optimal multi-robot motion planning with finite sampling,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Near-optimal multi-robot motion planning with finite sampling,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.306558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ed6cef13-a106-49cd-8818-c71d90be28d8 · outbound

This paper cites Towards Practical Finite Sample Bounds for Motion Planning in TAMP.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Towards Practical Finite Sample Bounds for Motion Planning in TAMP

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T23:25:41.150410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8c97a22-00e4-4e61-88b4-4dc5ebf6f83e · outbound

This paper cites Integrated task and motion plan- ning,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Integrated task and motion plan- ning,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.289630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 42b220e8-d688-4bdd-8544-724b5f2d1c26 · outbound

This paper cites Wackerly, W.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Wackerly, W

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.274089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 696a3e6c-fc1d-4aeb-8ede-6172b92c5d34 · outbound

This paper cites Approximate is better than “exact.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Approximate is better than “exact

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.258517Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 7eb491e0-82e1-4373-9f1c-adf270c3d202 · outbound

This paper cites Confidence intervals for a binomial proportion and asymptotic expansions,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Confidence intervals for a binomial proportion and asymptotic expansions,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.243141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8e669313-c1de-4ffb-a16a-8c5b7fb5deba · outbound

This paper cites Interval estimation for a binomial proportion,.

From Configuration-Space Clearance to Feature-Space Margin: Sample Complexity in Learning-Based Collision Detection Interval estimation for a binomial proportion,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T23:25:41.226511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Pith citing papers

No inbound Pith citation observations are available.