Paper Citation Record · LEDGER

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning

As of 17 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.14443.

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

pith.paper-citation-record.v1
2505.14443 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:38:46.134513Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

36 of 36 outbound references displayed

verified exact3
verified fuzzy31
unresolved2
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 092842c2-2b46-46cb-a960-70a60fd1a458 · outbound

This paper cites Topological path planning for autonomous information gathering,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Topological path planning for autonomous information gathering,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:54.781044Z

Source-reported events for the cited work

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Observation 536b0cef-4777-42be-9721-bd7209aded17 · outbound

This paper cites Hypergame-based adaptive behavior path planning for combined exploration and visual search,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Hypergame-based adaptive behavior path planning for combined exploration and visual search,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:54.452194Z

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Observation 93235934-8a58-437b-af48-fb888eb61683 · outbound

This paper cites Fuel: Fast uav exploration using incremental frontier structure and hierarchical planning,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Fuel: Fast uav exploration using incremental frontier structure and hierarchical planning,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:54.131486Z

Source-reported events for the cited work

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Observation 824c4403-bf05-4f72-9bb1-d1a1ec744e73 · outbound

This paper cites Tigris: An informed sampling-based algorithm for informative path planning,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Tigris: An informed sampling-based algorithm for informative path planning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:53.900636Z

Source-reported events for the cited work

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Observation 02c40c70-09d1-4724-9116-61b556a58a32 · outbound

This paper cites Autonomous exploration and general visual inspection of ship ballast water tanks using aerial robots,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Autonomous exploration and general visual inspection of ship ballast water tanks using aerial robots,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:53.704616Z

Source-reported events for the cited work

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Observation 46991f19-3d88-49d9-a26a-bd5bdecf8677 · outbound

This paper cites A survey on coverage path planning for robotics,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning A survey on coverage path planning for robotics,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:53.387734Z

Source-reported events for the cited work

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Observation 5b53b888-02bc-4797-9a98-fabc8c2c0ade · outbound

This paper cites An efficient sampling-based method for online informative path planning in unknown environments,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning An efficient sampling-based method for online informative path planning in unknown environments,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:53.128532Z

Source-reported events for the cited work

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Observation 52431807-dada-47a7-8a10-50daef94ec64 · outbound

This paper cites Semantic-aware informative path planning for efficient object search using mobile robot,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Semantic-aware informative path planning for efficient object search using mobile robot,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:52.844408Z

Source-reported events for the cited work

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Observation ed726a6f-1b0a-4048-b4f9-4975abd8fe75 · outbound

This paper cites Semantics-aware exploration and inspection path planning,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Semantics-aware exploration and inspection path planning,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:52.563930Z

Source-reported events for the cited work

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Observation a9729afb-dec8-438f-beb8-40711058532b · outbound

This paper cites Semantics-aware receding horizon planner for object- centric active mapping,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Semantics-aware receding horizon planner for object- centric active mapping,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:52.278573Z

Source-reported events for the cited work

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Observation 17c9f26f-9330-4889-9e17-d8a702bb6a95 · outbound

This paper cites Zero-shot reinforcement learning on graphs for au- tonomous exploration under uncertainty,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Zero-shot reinforcement learning on graphs for au- tonomous exploration under uncertainty,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:52.092639Z

Source-reported events for the cited work

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Observation df1079e0-fd2c-48f9-8713-171e4394e429 · outbound

This paper cites Learning active camera for multi-object navigation,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Learning active camera for multi-object navigation,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:51.846722Z

Source-reported events for the cited work

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Observation 930ffa14-a3dc-47d6-b700-9065d0bc17de · outbound

This paper cites Where to look next: Learning viewpoint recom- mendations for informative trajectory planning,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Where to look next: Learning viewpoint recom- mendations for informative trajectory planning,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:51.711506Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fa0154c7-ff77-4b0e-a813-c4258f182d70 · outbound

This paper cites Catnipp: Context-aware attention-based network for informative path planning,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Catnipp: Context-aware attention-based network for informative path planning,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:51.448190Z

Source-reported events for the cited work

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Observation bac2104d-5686-4b22-8d97-d5c25bcb761d · outbound

This paper cites Adaptive informative path planning with mul- timodal sensing,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Adaptive informative path planning with mul- timodal sensing,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:51.195103Z

Source-reported events for the cited work

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Observation 773879b1-3d54-4932-8d55-729459147786 · outbound

This paper cites Active Learning for UAV-based Semantic Mapping.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Active Learning for UAV-based Semantic Mapping

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:38:46.983210Z

Source-reported events for the cited work

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Observation cdcbe98b-e9b3-42e0-ad03-7add99ae5a03 · outbound

This paper cites A deep reinforcement learning approach with visual semantic navigation with memory for mobile robots in indoor home context,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning A deep reinforcement learning approach with visual semantic navigation with memory for mobile robots in indoor home context,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:50.969998Z

Source-reported events for the cited work

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Observation 7639e7fe-46d8-4872-bd7e-2354dab0d924 · outbound

This paper cites Enhancing navigational safety in crowded environ- ments using semantic-deep-reinforcement-learning-based navigation,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Enhancing navigational safety in crowded environ- ments using semantic-deep-reinforcement-learning-based navigation,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:50.687031Z

Source-reported events for the cited work

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Observation 12d112e4-cc2b-4b82-ab40-a7e39872af5a · outbound

This paper cites Object goal navigation using goal-oriented seman- tic exploration,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Object goal navigation using goal-oriented seman- tic exploration,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:50.495597Z

Source-reported events for the cited work

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Observation ef59f073-abaa-4df2-b4bd-6f55dbdc2f17 · outbound

This paper cites Semantically-enhanced deep collision prediction for autonomous navigation using aerial robots,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Semantically-enhanced deep collision prediction for autonomous navigation using aerial robots,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:50.361940Z

Source-reported events for the cited work

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Observation 9274a3b0-3fa7-42a9-b381-01bc3d1bd01f · outbound

This paper cites Learning-based Methods for Adaptive Informative Path Planning.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Learning-based Methods for Adaptive Informative Path Planning

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:38:46.696184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d9eb8b90-fc72-4dd2-b5ea-51261b427dc2 · outbound

This paper cites SC-Explorer: Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning SC-Explorer: Incremental 3D Scene Completion for Safe and Efficient Exploration Mapping and Planning

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-07T15:38:46.418537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 865bc95b-17b2-4512-9efd-8bedee23899a · outbound

This paper cites Learning Exploration Policies for Navigation.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Learning Exploration Policies for Navigation

Reference 23

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Source-reported events for the cited work

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Observation fa8c08fb-ac86-4078-9070-47a8b5ffa55c · outbound

This paper cites A data-driven model for interaction-aware pedestrian motion prediction in object cluttered environments,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning A data-driven model for interaction-aware pedestrian motion prediction in object cluttered environments,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:50.211253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a494baab-2aaf-4ca4-b116-6456f527c1a9 · outbound

This paper cites Deep reinforcement learning robot for search and rescue applications: Exploration in unknown cluttered environments,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Deep reinforcement learning robot for search and rescue applications: Exploration in unknown cluttered environments,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:50.065298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation eaa55bfa-0059-4db4-890e-7785366819a5 · outbound

This paper cites Deep reinforcement learning supervised autonomous ex- ploration in office environments,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Deep reinforcement learning supervised autonomous ex- ploration in office environments,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:49.932616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 541fdccd-fae3-454c-9554-cbb323db37a2 · outbound

This paper cites Receding horizon.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Receding horizon

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:49.696752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6d726490-fd79-4e17-91e4-3bcea009e6a1 · outbound

This paper cites Receding horizon path planning for 3d exploration and surface inspection,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Receding horizon path planning for 3d exploration and surface inspection,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:49.377975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31ddb506-3a50-4906-bd51-c1f4a45d7305 · outbound

This paper cites Sampling-based coverage path planning for inspection of complex structures,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Sampling-based coverage path planning for inspection of complex structures,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:49.078247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a2668fea-1ade-488c-b505-79d9730383f2 · outbound

This paper cites Sample factory: Egocentric 3d control from pixels at 100000 fps with asynchronous reinforcement learning,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Sample factory: Egocentric 3d control from pixels at 100000 fps with asynchronous reinforcement learning,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:48.649903Z

Source-reported events for the cited work

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Observation 74ce16f2-fe68-415a-ae74-8f163b3b22cd · outbound

This paper cites Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Impala: Scalable distributed deep-rl with importance weighted actor-learner architectures,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:48.365812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cf526784-845e-4444-8662-a272ba0d3cb3 · outbound

This paper cites Aerial gym simulator: A framework for highly parallelized simulation of aerial robots,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Aerial gym simulator: A framework for highly parallelized simulation of aerial robots,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:48.066147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3f666cff-41ac-4198-ba89-ac91a25d5e6a · outbound

This paper cites Control of Complex Maneuvers for a Quadrotor UAV using Geometric Methods on SE(3).

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Control of Complex Maneuvers for a Quadrotor UAV using Geometric Methods on SE(3)

Reference 33

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Source-reported events for the cited work

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Observation 1f265921-72e0-4f9d-9ff8-d530b6fb5893 · outbound

This paper cites Design and use paradigms for gazebo, an open-source multi-robot simulator,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Design and use paradigms for gazebo, an open-source multi-robot simulator,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:47.815371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 46bd76a8-23ef-478b-b141-f55b018e6965 · outbound

This paper cites V oxblox: Incremental 3d euclidean signed dis- tance fields for on-board mav planning,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning V oxblox: Incremental 3d euclidean signed dis- tance fields for on-board mav planning,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:47.535941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation efbce1f4-ab7c-4a7a-a85d-ddb0e86280a3 · outbound

This paper cites Neural control barrier functions for safe navigation,.

Semantically-driven Deep Reinforcement Learning for Inspection Path Planning Neural control barrier functions for safe navigation,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:38:47.231217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

No inbound Pith citation observations are available.