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Paper Citation Record · LEDGER

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 3 inbound Pith citation observations for arXiv:2504.20660.

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

pith.paper-citation-record.v1
2504.20660 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:27:54.845250Z

measured 31 of 31 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:49:16.447227Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T04:53:58.100680Z

Reference resolution

28 of 28 outbound references displayed

  • verified exact8
  • verified fuzzy5
  • unresolved14
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b16d0bca-52f3-4b57-a22f-fe27413a9520 · outbound

This paper cites Unmanned Aircraft Systems (UAS) Market Trends,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Unmanned Aircraft Systems (UAS) Market Trends,

Reference 1

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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.

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Observation d82a0630-bbe4-43e1-ab76-0ccf5e5ee990 · outbound

This paper cites Drone Logistics and Transportation Market,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Drone Logistics and Transportation Market,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-16T05:27:55.579499Z

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.

source=pdf_text observed=2026-08-16T05:27:54.699204Z digest=sha256:ba360d0dd28ad0ccabe96d1ce01052a285737a9619b4a797e6d24c2186f8ec8d

Observation 711e90eb-d62d-4e0f-90cb-73756e5b6c3c · outbound

This paper cites Management and Regulation of Drone Operation in Urban Environment: A Case Study,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Management and Regulation of Drone Operation in Urban Environment: A Case Study,

Reference 3

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verified exact
doi, observed 2026-08-16T05:27:55.195486Z

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

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Observation c5fe8e30-677b-4617-bf7d-1b136594fc93 · outbound

This paper cites A note on two problems in connexion with graphs,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems A note on two problems in connexion with graphs,

Reference 4

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unresolved
no resolver link, observed 2026-08-16T05:27:54.710695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:27:54.710695Z digest=sha256:d56ba9da00ecb1632822c506c3fb5880f19c17b97a516fa985db9cd5317dd91c

Observation 4fc3e7a4-3930-4fa2-a98b-258ce930f20c · outbound

This paper cites an unresolved cited work.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Unresolved cited work

Reference 5

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-16T05:27:54.717010Z digest=sha256:17883071c1f62e84e645ec74355a4a356254395958095959e121917dd45708c6

Observation 684f6f62-f958-4e64-a833-a66d4ce44fd6 · outbound

This paper cites Incremental Heuristic Search in AI,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Incremental Heuristic Search in AI,

Reference 6

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verified exact
doi, observed 2026-08-16T05:27:55.164072Z

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.

source=pdf_text observed=2026-08-16T05:27:54.722733Z digest=sha256:0668f6b506dae3a0420f894bec037d909294d82e35bda9ded29f7f1ac3a7b6d3

Observation e3367e5e-402b-4c45-bc63-e017d5b7c373 · outbound

This paper cites Theta*: Any -Angle Path Planning on Grids,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Theta*: Any -Angle Path Planning on Grids,

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:27:54.730268Z digest=sha256:a9ba3da6be7afb0f5e0aa38d95ee176051ae1fa0fcf25587ab358efda2aafcd7

Observation 6761555b-428d-4215-8798-e2b2d610fe71 · outbound

This paper cites Online Graph Pruning for Pathfinding On Grid Maps,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Online Graph Pruning for Pathfinding On Grid Maps,

Reference 8

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no resolver link, observed 2026-08-16T05:27:54.734909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:27:54.734909Z digest=sha256:4471208bb27cd23cca38c10c5a94af0ddfc34778310bd081be53f798dfce697f

Observation 412a53f9-2a75-4474-a929-0e1447386d71 · outbound

This paper cites Deep-Sea A*+: An Advanced Path Planning Method Integrating Enhanced A* and Dynamic Window Approach for Autonomous Underwater Vehicles.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Deep-Sea A*+: An Advanced Path Planning Method Integrating Enhanced A* and Dynamic Window Approach for Autonomous Underwater Vehicles

Reference 9

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local_arxiv, observed 2026-08-16T05:27:55.107751Z

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.

source=pdf_text observed=2026-08-16T05:27:54.739091Z digest=sha256:93d2217a4b59d1d7ed783c506644457b4cadda565cce86477d8978aad94a7d5d

Observation b80f9644-718a-46ee-9b07-33412bcefadb · outbound

This paper cites Hybrid Path Planning for Mobile Robot Based on Improved A* Fusion Dynamic Window Approach,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Hybrid Path Planning for Mobile Robot Based on Improved A* Fusion Dynamic Window Approach,

Reference 10

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verified exact
doi, observed 2026-08-16T05:27:55.084198Z

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.

source=pdf_text observed=2026-08-16T05:27:54.745685Z digest=sha256:c5480d2cc266f9c5132f87284883ea76d3b6ed161a25fa733131c97139aee3ad

Observation a548ba20-3627-4750-af3b-de9d55689652 · outbound

This paper cites A survey of safe landing zone detection techniques for au- tonomous unmanned aerial vehicles (UAVs),.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems A survey of safe landing zone detection techniques for au- tonomous unmanned aerial vehicles (UAVs),

Reference 11

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raw_fallback, observed 2026-08-16T05:27:55.548425Z

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.

source=pdf_text observed=2026-08-16T05:27:54.750630Z digest=sha256:acf3e2df8560842847953148f8be4de87db2ba69e128661bee39ffa821c0e8d7

Observation d004c2e6-8d29-47c5-b78b-136d1d6fd315 · outbound

This paper cites Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Deep Tracking on the Move: Learning to Track the World from a Moving Vehicle using Recurrent Neural Networks

Reference 12

Resolution
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local_arxiv, observed 2026-08-16T05:27:55.065995Z

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.

source=pdf_text observed=2026-08-16T05:27:54.765006Z digest=sha256:2834e54478e6cdf278c1b7725cf23f538d3b6819c00148444caae378bcadfc50

Observation a94fd002-3b41-4272-97f4-002e369ce99f · outbound

This paper cites Dynamic Path Planning for Mobile Robots by Integrating Improved Sparrow Search Algorithm and Dynamic Win- dow Approach,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Dynamic Path Planning for Mobile Robots by Integrating Improved Sparrow Search Algorithm and Dynamic Win- dow Approach,

Reference 13

Resolution
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doi, observed 2026-08-16T05:27:55.039917Z

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.

source=pdf_text observed=2026-08-16T05:27:54.770918Z digest=sha256:32c369203f0f19769a7a814bc0cce1b9d72d7e69059aed4234e0b74a90e19078

Observation 441207bf-90b8-455b-bcd1-b76b06ca2f51 · outbound

This paper cites The Dynamic Window Approach to Collision Avoidance,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems The Dynamic Window Approach to Collision Avoidance,

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:27:54.776915Z digest=sha256:5fe0761f8c255a0150868ab1da3d5c4e5626d87fdca219dd4205af5701360111

Observation 52b53c53-498c-46e4-8a48-b78b6ed445e7 · outbound

This paper cites Human-level control through deep reinforcement learning,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Human-level control through deep reinforcement learning,

Reference 15

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source=pdf_text observed=2026-08-16T05:27:54.783440Z digest=sha256:7b90c79241c07618ec388f412c252c5bdf2f8abea974bcde434634c25082f49f

Observation 715b0b2b-7f28-4c72-bdc3-e28e5a760a13 · outbound

This paper cites Deep Reinforce- ment Learning: A Brief Survey,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Deep Reinforce- ment Learning: A Brief Survey,

Reference 16

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no resolver link, observed 2026-08-16T05:27:54.789984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:27:54.789984Z digest=sha256:d8e0b2949e8de3d5a490168e63bf0fc7963455607a2e83bd5a3beb6f12c99789

Observation 9c80f9c8-9dff-4432-bbf4-d908a75b0cfb · outbound

This paper cites Deep Reinforcement Learning for Real -Time Assembly Planning in Robot -Based Prefabricated Construc- tion,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Deep Reinforcement Learning for Real -Time Assembly Planning in Robot -Based Prefabricated Construc- tion,

Reference 17

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source=pdf_text observed=2026-08-16T05:27:54.794681Z digest=sha256:46910bb3d8f96c12531e5486ab723aacfa33aa466994fbc9a29196669ed63bc4

Observation c815b880-3303-462d-a2be-9314a9042360 · outbound

This paper cites UAV Path Planning Based on Improved A* and DWA Algorithms,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems UAV Path Planning Based on Improved A* and DWA Algorithms,

Reference 18

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source=pdf_text observed=2026-08-16T05:27:54.800017Z digest=sha256:a84915870c515f15d7b57d25036e1eced40728bd7c2695141073478aa67e5735

Observation 9c14d32d-5d5d-4d63-8404-7736fef9219c · outbound

This paper cites Quantum machine learning,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Quantum machine learning,

Reference 19

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source=pdf_text observed=2026-08-16T05:27:54.804156Z digest=sha256:b3b27f87df8571656ebdfe8aee0423e1561db8790fbf340e14c9c43060c8bb39

Observation 785084f7-294c-4378-a07d-9fe8ad2757a3 · outbound

This paper cites Advances in quantum reinforcement learn- ing,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Advances in quantum reinforcement learn- ing,

Reference 20

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:27:54.808251Z digest=sha256:562513e7a721ddb3273f6e6e19c30087b451356e9e8ae9b17a13a5d86888e799

Observation 97a69787-fd65-4f14-8471-003e591c8e36 · outbound

This paper cites An Advanced Quantum Optimization Algorithm for Robot Path Planning,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems An Advanced Quantum Optimization Algorithm for Robot Path Planning,

Reference 21

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doi, observed 2026-08-16T05:27:54.971438Z

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.

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Observation 055e9e53-c95f-4a85-b1e9-29c69149192f · outbound

This paper cites Quantum Computing in the NISQ era and beyond,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Quantum Computing in the NISQ era and beyond,

Reference 22

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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.

source=pdf_text observed=2026-08-16T05:27:54.816798Z digest=sha256:ff23fb2cb8a00d7326f9a7b93d0a64432a998476f95d25dff57ce0f8eecee6b9

Observation 57078420-0ca6-4bc6-be75-eb7c90eea5da · outbound

This paper cites Quantum reinforcement learning in con- tinuous action space,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Quantum reinforcement learning in con- tinuous action space,

Reference 23

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doi_truncated, observed 2026-08-16T05:27:54.937508Z

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.

source=pdf_text observed=2026-08-16T05:27:54.827160Z digest=sha256:f9e7a975554dac7ceff87bb87abe358ee7c8e3ad8f7ad5244df8b034e63ea5e6

Observation 91f20e3b-cfc3-4c94-bd49-72379b92dbb2 · outbound

This paper cites Traffic flow optimization using a quantum annealer.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Traffic flow optimization using a quantum annealer

Reference 24

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local_arxiv, observed 2026-08-16T05:27:54.918932Z

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.

source=pdf_text observed=2026-08-16T05:27:54.833215Z digest=sha256:594f9860f71026221f5f55d4d169b649b1a3a4f4347fa6ebefca2b89756dbbb9

Observation c13d4163-4ec4-4eee-940a-d2c933ee88a5 · outbound

This paper cites QAOA for Max-Cut requires hundreds of qubits for quantum speed -up,.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems QAOA for Max-Cut requires hundreds of qubits for quantum speed -up,

Reference 25

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:27:54.839842Z digest=sha256:329ba3f156b47dabc6b9f116cf253400ac5eef837a3bf3d1675737e26a54c08c

Observation 0164a859-c2ce-4d91-8434-bd496f6e1831 · outbound

This paper cites [Online].

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems [Online]

Reference 26

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raw_fallback, observed 2026-08-16T05:27:55.514664Z

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.

source=pdf_text observed=2026-08-16T05:27:54.845250Z digest=sha256:8f66275d491e561b3fe6f9114e850f350009de05912e1d8eeeac001db1e89e9e

Observation fa092a0c-977d-47b8-b3fd-296ad837fd05 · outbound

This paper cites 14 Sahil Tomar and et.al.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems 14 Sahil Tomar and et.al

Reference 2018

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:27:54.821832Z digest=sha256:932d0afb7f8d49d226b0e4d1ccd2e2e9e7cd4ed3fd53cb731809ea3c22dba8ca

Observation be9f1e78-da85-4821-bb62-c7451d26fc00 · outbound

This paper cites an unresolved cited work.

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems Unresolved cited work

Reference 2021

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source=pdf_text observed=2026-08-16T05:27:54.759423Z digest=sha256:5c139dd838ab45f4e623126ebd0fe4b14752b9572a06cc2cc343fb9eeac8ca15

Pith citing papers

Observation 6572b784-e002-416c-bc0a-23d438616bf2 · inbound

Quantum Artificial Intelligence for Secure Autonomous Vehicle Navigation: An Architectural Proposal cites this paper.

Quantum Artificial Intelligence for Secure Autonomous Vehicle Navigation: An Architectural Proposal Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems

Reference 11

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:49:16.447227Z digest=sha256:eefb9da22a75900310a4547209827f98ecdd72ca5eb0adf540d3611879c12d00

Observation 4f21c180-8380-43eb-a36e-4e168bd232cc · inbound

Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation cites this paper.

Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems

Reference 31

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arxiv_id, observed 2026-05-21T04:53:58.102526Z

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.

source=pdf_text observed=2026-05-21T04:50:37.976670Z digest=sha256:e457bb59464138b4bee78e5138f8ced1f7740bebe86f04090ccb3d64bf4a660a

Observation 7ce401e9-8f10-4ea3-8654-a024e87f3233 · inbound

Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation cites this paper.

Q-SpiRL: Quantum Spiking Reinforcement Learning for Adaptive Robot Navigation Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems

Reference 31

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no resolver link, observed 2026-08-02T13:36:12.265685Z

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Unavailable: canonical work link unavailable.

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