Paper Citation Record · LEDGER

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers

As of 23 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2505.07845.

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

pith.paper-citation-record.v1
2505.07845 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:43:28.232295Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

40 of 40 outbound references displayed

verified exact0
verified fuzzy32
unresolved8
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c198495-2a33-41a4-9291-c96c7c3ef0f9 · outbound

This paper cites Enhancing trajectory tracking accuracy in three-wheeled mobile robots using backstepping fuzzy sliding mode control,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Enhancing trajectory tracking accuracy in three-wheeled mobile robots using backstepping fuzzy sliding mode control,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:29.640947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 86f11b78-3300-4895-8129-6a4a2fe68f24 · outbound

This paper cites PSO based linear parameter varying- model predictive control for trajectory tracking of autonomous vehicles,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers PSO based linear parameter varying- model predictive control for trajectory tracking of autonomous vehicles,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:29.630279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 57d36ded-023b-4b36-a2a9-dadb1b014bf0 · outbound

This paper cites MAC- Planner: A novel task allocation and path planning framework for multi-robot online coverage processes,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers MAC- Planner: A novel task allocation and path planning framework for multi-robot online coverage processes,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:29.619581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b28b1d07-7c4d-4dd5-a7f3-937cf41514bd · outbound

This paper cites Quadrotor au- tonomous landing on moving platform,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Quadrotor au- tonomous landing on moving platform,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:29.606968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a24b596d-1100-48b7-b570-993eefc4e8c3 · outbound

This paper cites An improved trajectory tracking control of quadcopter using a novel sliding mode control with fuzzy PID surface,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers An improved trajectory tracking control of quadcopter using a novel sliding mode control with fuzzy PID surface,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:29.465888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 36d7e0a7-6e0a-49e7-aefc-0965b648247f · outbound

This paper cites Enhanced trajectory control of quadrotor UA V using fuzzy PID based recurrent neural network controller,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Enhanced trajectory control of quadrotor UA V using fuzzy PID based recurrent neural network controller,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:29.291906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a00c1d28-eeb8-4288-a6f8-51f4c0113c82 · outbound

This paper cites An improved nonsin- gular adaptive super twisting sliding mode controller for quadcopter,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers An improved nonsin- gular adaptive super twisting sliding mode controller for quadcopter,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:29.279956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2ca96057-9b05-4347-9e41-217b64f07fcb · outbound

This paper cites Development of bioinspired multimodal underwater robot “HERO-BLUE.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Development of bioinspired multimodal underwater robot “HERO-BLUE

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:29.268642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5763fec2-73bd-44a4-8e95-8f14017d5c78 · outbound

This paper cites Coastal underwater evidence search system with surface-underwater collaboration,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Coastal underwater evidence search system with surface-underwater collaboration,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:29.256764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 07caf185-dd84-4e4e-9a79-5e10e26b11e3 · outbound

This paper cites A formal basis for the heuristic determination of minimum cost paths,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers A formal basis for the heuristic determination of minimum cost paths,

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T23:43:27.831055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d799488-f9d5-44c3-a2d4-59203b56dd65 · outbound

This paper cites Real-time obstacle avoidance for manipulators and mobile robots,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Real-time obstacle avoidance for manipulators and mobile robots,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T23:43:27.835813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50ac9ae9-98e4-4bf4-8367-18769bb256af · outbound

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

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Rapidly-exploring random trees: A new tool for path planning,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:29.208856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation daddc152-1069-4f62-8421-63c3629df47d · outbound

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

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Sampling-based algorithms for optimal motion planning,

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T23:43:27.842825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11549b42-6677-4970-9ad6-3427fc3ca8f3 · outbound

This paper cites Informed sam- pling for asymptotically optimal path planning,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Informed sam- pling for asymptotically optimal path planning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:29.037986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7afe28cf-b42d-4a13-a4b8-8b032ac80dce · outbound

This paper cites Cyl-IRRT*: Homotopy optimal 3D path planning for auvs by biasing the sampling into a cylindrical informed subset,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Cyl-IRRT*: Homotopy optimal 3D path planning for auvs by biasing the sampling into a cylindrical informed subset,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.968941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b5ee0d0e-9bb8-4bac-b3e4-0bb31375e881 · outbound

This paper cites RBI-RRT*: Efficient sampling-based path planning for high-dimensional state space,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers RBI-RRT*: Efficient sampling-based path planning for high-dimensional state space,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.956973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4006e579-c3fa-4dd5-95a1-24b395182e50 · outbound

This paper cites Neural RRT*: Learning-based optimal path planning,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Neural RRT*: Learning-based optimal path planning,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T23:43:28.042116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 048616dd-1062-43d1-b288-9f33871fb5cb · outbound

This paper cites Deep neural network enhanced sampling-based path planning in 3D space,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Deep neural network enhanced sampling-based path planning in 3D space,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.939417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8259ae6b-d19b-4887-b794-0f5be617a1b6 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers U-net: Convolutional networks for biomedical image segmentation,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.928834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 0f1a2aa7-bea1-4870-b947-1feb82ac7f55 · outbound

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

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Motion planning networks: Bridging the gap between learning-based and classical motion planners,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.916824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 37a5f47e-5172-4e7e-b49c-8247dfcea788 · outbound

This paper cites Huang, H.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Huang, H

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.905193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d3ef7bae-8e51-4126-b0b0-6c1e76c93e34 · outbound

This paper cites Prob- abilistic roadmaps for path planning in high-dimensional configuration spaces,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Prob- abilistic roadmaps for path planning in high-dimensional configuration spaces,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-15T23:43:28.063016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc299199-6f53-4e61-ae78-550c110baad6 · outbound

This paper cites Use of relaxation methods in sampling- based algorithms for optimal motion planning,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Use of relaxation methods in sampling- based algorithms for optimal motion planning,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.794344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f0f6e5f9-b9d2-46f7-b3d9-06bd5ca829e1 · outbound

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

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers RRT-connect: An efficient approach to single-query path planning,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.673502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d7fea5f2-9d40-40a9-9e8f-a63f135ebd04 · outbound

This paper cites Optimal bidirectional rapidly-exploring ran- dom trees,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Optimal bidirectional rapidly-exploring ran- dom trees,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.661249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5304a99b-f36f-4b5f-967b-944fbf352af3 · outbound

This paper cites Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environ- ments,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Intelligent bidirectional rapidly-exploring random trees for optimal motion planning in complex cluttered environ- ments,

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-15T23:43:28.077807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8283ac67-30b1-488c-ba9a-696695d34f65 · outbound

This paper cites Balancing global exploration and local-connectivity exploitation with rapidly-exploring random disjointed- trees,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Balancing global exploration and local-connectivity exploitation with rapidly-exploring random disjointed- trees,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.643130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2f840712-ae1a-4db5-92da-362a7e80f62d · outbound

This paper cites Guild: Guided incremental local densification for accelerated sampling- based motion planning,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Guild: Guided incremental local densification for accelerated sampling- based motion planning,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.631091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c000dc57-6fef-402b-8d8b-65cdb9869481 · outbound

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

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Batch informed trees (BIT*): Informed asymptotically optimal anytime search,

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T23:43:28.088370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf6b1880-e5bb-46b1-a337-b8a53320003b · outbound

This paper cites Adaptively informed trees (AIT) and effort informed trees (EIT): Asymmetric bidirectional sampling-based path planning,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Adaptively informed trees (AIT*) and effort informed trees (EIT*): Asymmetric bidirectional sampling-based path planning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.612018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 1ba97990-170b-45ec-b620-a88a52ea8d04 · outbound

This paper cites RT-RRT: Reverse tree guided real-time path planning/replanning in unpredictable dynamic environments,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers RT-RRT: Reverse tree guided real-time path planning/replanning in unpredictable dynamic environments,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.520497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f3f3e642-e9f2-46c1-b8ca-390b7eabb9ab · outbound

This paper cites Deep sequential models for sampling-based planning,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Deep sequential models for sampling-based planning,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.480628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 284577b8-14bf-4ca5-b1dc-02410beed1fe · outbound

This paper cites RL-RRT: Kinodynamic motion planning via learning reachability estimators from rl policies,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers RL-RRT: Kinodynamic motion planning via learning reachability estimators from rl policies,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.468489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 45affe6c-dc92-4aca-92f0-6a1ebdcee597 · outbound

This paper cites Efficient heuristic generation for robot path planning with recurrent generative model,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Efficient heuristic generation for robot path planning with recurrent generative model,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.456915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation d6ce80c9-269c-453b-9632-a0e9ccf6cdcf · outbound

This paper cites MINER-RRT*: A hierarchical and fast trajectory planning framework in 3D cluttered environments,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers MINER-RRT*: A hierarchical and fast trajectory planning framework in 3D cluttered environments,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.446239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 91c04c2d-d9f7-4b32-8baf-06e58a5ab091 · outbound

This paper cites an unresolved cited work.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-15T23:43:28.114715Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15b2376b-a123-435d-8ad7-2049c0727c6b · outbound

This paper cites Encoder- decoder with atrous separable convolution for semantic image segmen- tation,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Encoder- decoder with atrous separable convolution for semantic image segmen- tation,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.348872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dd28fc8d-21e4-4cf8-964b-b5564ca87556 · outbound

This paper cites Self-attention generative adversarial networks,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Self-attention generative adversarial networks,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.312274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 024a2c26-c691-4b0f-9716-2e50c6660efd · outbound

This paper cites Holoocean: A full-featured marine robotics simulator for perception and autonomy,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Holoocean: A full-featured marine robotics simulator for perception and autonomy,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.299776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5fd81b54-9c0d-4ca5-b110-01bd9e01a88f · outbound

This paper cites Optimal path planning using bidirectional rapidly-exploring random tree star-dynamic window approach (BRRT*-DW A) with adaptive monte carlo localization (AMCL) for mobile robot,.

PierGuard: A Planning Framework for Underwater Robotic Inspection of Coastal Piers Optimal path planning using bidirectional rapidly-exploring random tree star-dynamic window approach (BRRT*-DW A) with adaptive monte carlo localization (AMCL) for mobile robot,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T23:43:28.286241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Pith citing papers

No inbound Pith citation observations are available.