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Paper Citation Record · LEDGER

Multi-Step Gaussian Process Propagation for Adaptive Path Planning

As of 10 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2604.19148.

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

pith.paper-citation-record.v1
2604.19148 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T02:46:40.361651Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

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

measured 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

41 of 41 outbound references displayed

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  • verified fuzzy35
  • unresolved1
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad22abe8-f021-4e6d-9e92-c1d2d95e1b1c · outbound

This paper cites Hierarchical rough terrain motion planning using an optimal sampling-based method.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Hierarchical rough terrain motion planning using an optimal sampling-based method

Reference 1

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

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Observation 890f0a4c-e937-4343-a97e-30160369cea7 · outbound

This paper cites Solving constrained trajectory planning problems using biased particle swarm optimization.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Solving constrained trajectory planning problems using biased particle swarm optimization

Reference 2

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Observation 467d25d1-da83-461d-bb5c-6ecf97834324 · outbound

This paper cites Path planning for manipulators based on an improved probabilistic roadmap method.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Path planning for manipulators based on an improved probabilistic roadmap method

Reference 3

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Observation d052ce6f-6dab-42f8-bd3f-6d048cb290b0 · outbound

This paper cites Planning and acting in partially observable stochastic domains.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Planning and acting in partially observable stochastic domains

Reference 4

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Source-reported events for the cited work

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

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Observation 27cce1e5-702d-4efb-8b2a-f13ac2a7fe5a · outbound

This paper cites Nonmyopic informative path planning based on global kriging variance minimization.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Nonmyopic informative path planning based on global kriging variance minimization

Reference 5

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Source-reported events for the cited work

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

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Observation fdecced3-9460-4a97-abc0-6934bf47586a · outbound

This paper cites Informative path planning for an autonomous underwater vehicle.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Informative path planning for an autonomous underwater vehicle

Reference 6

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Source-reported events for the cited work

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Observation 46d42e22-2c8d-4042-8643-6159ed980045 · outbound

This paper cites Informative path planning for active regression with gaussian processes via sparse optimization.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Informative path planning for active regression with gaussian processes via sparse optimization

Reference 7

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Source-reported events for the cited work

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

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Observation dcbec969-02d5-492a-8ae9-625674bf5437 · outbound

This paper cites Bayesian optimisation for informative continuous path planning.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Bayesian optimisation for informative continuous path planning

Reference 8

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Source-reported events for the cited work

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

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Observation 2c07cdfc-c348-45a0-bf22-45a90276bdf1 · outbound

This paper cites Gaussian process motion planning.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Gaussian process motion planning

Reference 9

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Source-reported events for the cited work

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

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Observation 92b01d37-90c4-454d-af4d-08ec20ba2fe0 · outbound

This paper cites Gaussian processes for data-efficient learning in robotics and control.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Gaussian processes for data-efficient learning in robotics and control

Reference 10

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Source-reported events for the cited work

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

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Observation b9148a4b-acf5-4948-81a1-40a11224d9fe · outbound

This paper cites Data-driven selective sampling for marine vehicles using multi-scale paths.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Data-driven selective sampling for marine vehicles using multi-scale paths

Reference 11

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Source-reported events for the cited work

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

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Observation 15f1e3c8-6667-4e50-92e4-fdf5ef46e255 · outbound

This paper cites Sensor planning for a symbiotic UA V and UGV system for precision agriculture.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Sensor planning for a symbiotic UA V and UGV system for precision agriculture

Reference 12

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Source-reported events for the cited work

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

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Observation e7a452bf-cd73-49ca-8360-372b4e01910d · outbound

This paper cites Approximate sequential optimization for informative path planning.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Approximate sequential optimization for informative path planning

Reference 13

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Source-reported events for the cited work

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

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Observation ac876f02-f730-40ac-8125-f956237faa06 · outbound

This paper cites Heterogeneous multi-robot system for exploration and strategic water sampling.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Heterogeneous multi-robot system for exploration and strategic water sampling

Reference 14

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 7b3db093-130b-49c0-857c-ea6954d2beac · outbound

This paper cites Adaptive underwater robotic sampling of dispersal dynamics in the coastal ocean.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Adaptive underwater robotic sampling of dispersal dynamics in the coastal ocean

Reference 15

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Source-reported events for the cited work

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

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Observation 34d98bf7-75e8-49b3-b60b-4e89ffa4425a · outbound

This paper cites Long-horizon informative path planning with obstacles and time constraints.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Long-horizon informative path planning with obstacles and time constraints

Reference 16

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Source-reported events for the cited work

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

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Observation ec426455-41c5-47c9-a56d-f0627a46a4f0 · outbound

This paper cites Using an autonomous underwater vehicle with onboard stochastic advection-diffusion models to map excursion sets of environmental variables.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Using an autonomous underwater vehicle with onboard stochastic advection-diffusion models to map excursion sets of environmental variables

Reference 17

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Source-reported events for the cited work

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

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Observation b5ef563f-b501-4424-83f3-928e93346960 · outbound

This paper cites Swindell, M.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Swindell, M

Reference 18

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Source-reported events for the cited work

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Observation 73416167-98ca-4cec-9c52-1dead85a2485 · outbound

This paper cites Efficient multiob- jective optimization employing Gaussian processes, spectral sampling and a genetic algorithm.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Efficient multiob- jective optimization employing Gaussian processes, spectral sampling and a genetic algorithm

Reference 19

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Source-reported events for the cited work

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

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Observation 8f02b74d-d6ef-49a2-a9bc-0e840acbf802 · outbound

This paper cites Near-optimal sensor placements in gaussian processes.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Near-optimal sensor placements in gaussian processes

Reference 20

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Source-reported events for the cited work

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

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Observation 3aba33dc-7ace-49a3-bd92-6dc8f66a1f1c · outbound

This paper cites Efficient implementation of Gaussian process–based predictive control by quadratic programming.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Efficient implementation of Gaussian process–based predictive control by quadratic programming

Reference 21

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Source-reported events for the cited work

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Observation d0dc30a0-a997-4d99-8b24-71020b269e93 · outbound

This paper cites Online learning-based model predictive control with Gaussian process models and stability guarantees.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Online learning-based model predictive control with Gaussian process models and stability guarantees

Reference 22

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

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Observation 1ef402b9-21b3-4263-b84c-db620559ece0 · outbound

This paper cites Campaign for hyperspectral data validation in north atlantic coastal waters.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Campaign for hyperspectral data validation in north atlantic coastal waters

Reference 23

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Source-reported events for the cited work

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

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Observation 6ad41c16-57cf-4297-a53b-fa3309f21471 · outbound

This paper cites Moni- toring the growth of coastal algae blooms in harsh weather conditions using a wave-propelled ASV: Challenges and lessons learned.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Moni- toring the growth of coastal algae blooms in harsh weather conditions using a wave-propelled ASV: Challenges and lessons learned

Reference 24

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Source-reported events for the cited work

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

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Observation acc4ad63-0b11-4ebd-8bd8-6c1d19e54e64 · outbound

This paper cites Operational closed-loop system for multi- scale chlorophyll-a monitoring along the Norwegian coast.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Operational closed-loop system for multi- scale chlorophyll-a monitoring along the Norwegian coast

Reference 25

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verified fuzzy
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Source-reported events for the cited work

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

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Observation 7a18b4ee-109f-40a5-a62d-1b803e82e46d · outbound

This paper cites Adaptive modeling, adaptive data assimilation and adaptive sampling.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Adaptive modeling, adaptive data assimilation and adaptive sampling

Reference 26

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Source-reported events for the cited work

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

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Observation f1383d90-703e-409c-be9f-426ac520dcde · outbound

This paper cites Toward adaptive robotic sampling of phytoplank- ton in the coastal ocean.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Toward adaptive robotic sampling of phytoplank- ton in the coastal ocean

Reference 27

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Source-reported events for the cited work

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

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Observation 07987cd0-b82f-449b-b920-2dbe15d21910 · outbound

This paper cites an unresolved cited work.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Unresolved cited work

Reference 28

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Source-reported events for the cited work

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

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Observation 50b92271-dc28-4ec2-bc7f-ff1f7254269a · outbound

This paper cites A more efficient rank-one covariance matrix update for evolution strategies.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning A more efficient rank-one covariance matrix update for evolution strategies

Reference 29

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verified fuzzy
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Source-reported events for the cited work

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

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Observation a59277af-2e45-4d12-9794-8da0cc6f9f33 · outbound

This paper cites A Bayesian Committee Machine.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning A Bayesian Committee Machine

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation c3b7f650-6e8c-429b-bd80-073707c97f19 · outbound

This paper cites Variational learning of inducing variables in sparse gaussian processes.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Variational learning of inducing variables in sparse gaussian processes

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T19:26:59.467561Z

Source-reported events for the cited work

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

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Observation cd851f81-8b39-45b5-9583-8600e2148f41 · outbound

This paper cites Distributed gaussian processes.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Distributed gaussian processes

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T19:26:59.497516Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T02:46:40.361651Z digest=sha256:af12a580ae200192423283aa8e7959ef9d13c7778c235bd33aea54ec71f7d339

Observation ac0319aa-d750-4afd-85de-801c83f4e34e · outbound

This paper cites MonitoringKarenia brevisblooms in the Gulf of Mexico using satellite ocean color imagery and other data.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning MonitoringKarenia brevisblooms in the Gulf of Mexico using satellite ocean color imagery and other data

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T19:26:59.499328Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T02:46:40.361651Z digest=sha256:aa48a0dff135f27095ad91d80316b581f1522d4a53c2331cbd9e4bd029b6a9c6

Observation 8db0fcd6-909c-4956-b03b-edeeb28a9fcf · outbound

This paper cites Modeling the ecosystem dynamics of the Barents sea including the marginal ice zone: I. Physical and chemical oceanography.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Modeling the ecosystem dynamics of the Barents sea including the marginal ice zone: I. Physical and chemical oceanography

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T19:26:59.501156Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T02:46:40.361651Z digest=sha256:82b80803a17121284aa44bc2c5f7c9950abd4005f944e1801e7df92deae382fd

Observation 7dd29f40-027c-41cd-b6fc-88f67525643c · outbound

This paper cites Modelling the ecosystem dynamics of the Barents Sea including the marginal ice zone: II. Carbon flux and interannual variability.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Modelling the ecosystem dynamics of the Barents Sea including the marginal ice zone: II. Carbon flux and interannual variability

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 3e481163-818a-4132-a7bd-cacbf76e782a · outbound

This paper cites Global Ocean Colour (Copernicus-GlobColour), Bio- Geo-Chemical, L4 (monthly and interpolated) from Satellite Observa- tions (Near Real Time).

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Global Ocean Colour (Copernicus-GlobColour), Bio- Geo-Chemical, L4 (monthly and interpolated) from Satellite Observa- tions (Near Real Time)

Reference 36

Resolution
verified exact
doi, observed 2026-05-10T02:48:26.758552Z

Source-reported events for the cited work

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

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Observation 0492d6f5-dfa6-4c45-928d-f394c58ab667 · outbound

This paper cites CasADi – A software framework for nonlinear optimization and optimal con- trol.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning CasADi – A software framework for nonlinear optimization and optimal con- trol

Reference 37

Resolution
verified exact
doi, observed 2026-05-10T02:48:26.760570Z

Source-reported events for the cited work

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

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Observation 6047e02b-9764-4f60-b417-a1f706f2085b · outbound

This paper cites On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning On the implementation of an interior-point filter line-search algorithm for large-scale nonlinear programming

Reference 38

Resolution
malformed identifier
raw_fallback, observed 2026-05-22T19:26:59.508223Z

Source-reported events for the cited work

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

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Observation c5391c1b-2f36-491b-9000-e55d09111786 · outbound

This paper cites The LSTS toolchain for networked vehicle systems.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning The LSTS toolchain for networked vehicle systems

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T19:26:59.519973Z

Source-reported events for the cited work

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

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Observation 786c32f6-072b-407e-84be-c1177ccd9f9d · outbound

This paper cites Design and validation of a course control system for a wave-propelled unmanned surface vehicle.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Design and validation of a course control system for a wave-propelled unmanned surface vehicle

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T19:26:59.491075Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-10T02:46:40.361651Z digest=sha256:b454bac8457ea96af8358420b73a4858e464d9e35224671a56a6e7c072a6d613

Observation ee144ebc-6ba2-443a-85c3-71b478d1c51d · outbound

This paper cites Interoperable and modular system architecture for green-energy unmanned surface vehicles in ocean science.

Multi-Step Gaussian Process Propagation for Adaptive Path Planning Interoperable and modular system architecture for green-energy unmanned surface vehicles in ocean science

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T19:26:59.486662Z

Source-reported events for the cited work

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

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Pith citing papers

No inbound Pith citation observations are available.