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Paper Citation Record · LEDGER

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems

As of 14 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2606.20031.

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

pith.paper-citation-record.v1
2606.20031 v3

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-12T13:18:49.934379Z

measured 30 of 30 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.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

30 of 30 outbound references displayed

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Outbound references

Observation 997418be-22c1-4ec1-b8c5-f63c20f1d79d · outbound

This paper cites Robotic mobile ful- fillment systems: A survey on recent developments and research opportunities,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Robotic mobile ful- fillment systems: A survey on recent developments and research opportunities,

Reference 1

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Observation bb1ad9df-5d62-4aed-8d3e-89735a037849 · outbound

This paper cites Primal: Pathfinding via reinforcement and imitation multi-agent learning,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Primal: Pathfinding via reinforcement and imitation multi-agent learning,

Reference 2

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Observation 730ef8f0-7190-430c-b520-332634fe198b · outbound

This paper cites Primal 2: Pathfind- ing via reinforcement and imitation multi-agent learning-lifelong,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Primal 2: Pathfind- ing via reinforcement and imitation multi-agent learning-lifelong,

Reference 3

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Observation 626ad55e-0176-4875-ba0e-bfaac142577d · outbound

This paper cites an unresolved cited work.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Unresolved cited work

Reference 4

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Observation ae326ade-0a40-4e30-8b9d-f6eb9e8a2e2c · outbound

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

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems A formal basis for the heuristic determination of minimum cost paths,

Reference 5

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Observation 47dd029c-40fd-4a6c-8ff1-325c6d76e386 · outbound

This paper cites Path planning for multiple mobile robots in smart warehouse,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Path planning for multiple mobile robots in smart warehouse,

Reference 6

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Observation d3d99ce3-e86a-4734-ba81-79769413b81b · outbound

This paper cites Integrated task assignment and path planning for capacitated multi- agent pickup and delivery,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Integrated task assignment and path planning for capacitated multi- agent pickup and delivery,

Reference 7

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Observation 2ddd63cf-165a-4312-aa69-8fc9d7af283b · outbound

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

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Human-level control through deep reinforcement learning,

Reference 8

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Observation 721ceee3-e0a3-432f-a6e0-ce64d955dcdb · outbound

This paper cites Acquisition of automated guided vehicle route planning policy using deep reinforcement learning,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Acquisition of automated guided vehicle route planning policy using deep reinforcement learning,

Reference 9

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Observation fbd3f432-268c-467c-9a91-25ef8f4dae10 · outbound

This paper cites Deep reinforcement learning: A brief survey,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Deep reinforcement learning: A brief survey,

Reference 10

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Observation ae76165a-a59b-422b-9414-80b7beb7c57f · outbound

This paper cites A* guiding dqn algorithm for automated guided vehicle pathfinding problem of robotic mobile fulfillment systems,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems A* guiding dqn algorithm for automated guided vehicle pathfinding problem of robotic mobile fulfillment systems,

Reference 11

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Observation e72b06e9-8b74-48c9-adf8-dd84d09929ee · outbound

This paper cites Reinforcement co-learning of deep and spiking neural networks for energy-efficient mapless navi- gation with neuromorphic hardware,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Reinforcement co-learning of deep and spiking neural networks for energy-efficient mapless navi- gation with neuromorphic hardware,

Reference 12

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Observation f60d2b15-c32f-41d5-93b2-f4c7d4108f45 · outbound

This paper cites Toward energy-efficient spike-based deep reinforcement learning with temporal coding,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Toward energy-efficient spike-based deep reinforcement learning with temporal coding,

Reference 13

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Observation 3935d66b-87aa-4d68-98a3-c667ef3695d4 · outbound

This paper cites Networks of spiking neurons: the third generation of neural network models,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Networks of spiking neurons: the third generation of neural network models,

Reference 14

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Observation 66ad38b9-41a5-4175-8d24-4ef802bc3a60 · outbound

This paper cites Loihi: A neuromorphic manycore processor with on-chip learning,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Loihi: A neuromorphic manycore processor with on-chip learning,

Reference 15

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Observation 3071f48b-ecb2-464b-bf4f-2a3a554b7ecc · outbound

This paper cites Improved robustness of reinforcement learning policies upon conver- sion to spiking neuronal network platforms applied to atari breakout game,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Improved robustness of reinforcement learning policies upon conver- sion to spiking neuronal network platforms applied to atari breakout game,

Reference 16

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Observation 514e18d1-dd8f-4203-b6c1-ec9bcdf7de36 · outbound

This paper cites A neuro-inspired approach to intelligent collision avoidance and navigation,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems A neuro-inspired approach to intelligent collision avoidance and navigation,

Reference 17

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Observation 3d3f2fb0-e8af-4e87-9f73-6622f4873bdb · outbound

This paper cites Speck: A smart event-based vision sensor with a low latency 327k neuron convolutional neuronal network processing pipeline,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Speck: A smart event-based vision sensor with a low latency 327k neuron convolutional neuronal network processing pipeline,

Reference 18

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Observation e4ac715f-3e42-4000-b977-dfd6249771dd · outbound

This paper cites Strategy and benchmark for con- verting deep q-networks to event-driven spiking neural networks,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Strategy and benchmark for con- verting deep q-networks to event-driven spiking neural networks,

Reference 19

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Observation fcf78428-683e-4cf4-9e8d-0237b33f95b0 · outbound

This paper cites Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Fast-classifying, high-accuracy spiking deep networks through weight and threshold balancing,

Reference 20

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Observation af44eaf1-b3a0-4dfb-8be1-6408f6f3582f · outbound

This paper cites Optimal conversion of conventional artificial neural networks to spiking neural networks,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Optimal conversion of conventional artificial neural networks to spiking neural networks,

Reference 21

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Observation 7675afef-8c45-487d-9ea6-79d08e525cf9 · outbound

This paper cites Optimal ANN-SNN conversion for high-accuracy and ultra-low- latency spiking neural networks,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Optimal ANN-SNN conversion for high-accuracy and ultra-low- latency spiking neural networks,

Reference 22

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Observation 5a9f3fa2-b8f7-4376-b1ae-b95f77fdd013 · outbound

This paper cites Error-aware conversion from ann to snn via post-training parameter calibration,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Error-aware conversion from ann to snn via post-training parameter calibration,

Reference 23

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Observation aac30a71-1b48-4bb8-b6a6-3b1e6b0b173a · outbound

This paper cites Masked spiking transformer,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Masked spiking transformer,

Reference 24

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Observation c15b8820-e914-4f9b-894d-a518adabbfa0 · outbound

This paper cites Deep reinforcement learning with double q-learning,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Deep reinforcement learning with double q-learning,

Reference 25

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Observation a729eac4-d798-42d5-a5fc-2aa0ad542730 · outbound

This paper cites Differential Coding for Training-Free ANN-to-SNN Conversion.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Differential Coding for Training-Free ANN-to-SNN Conversion

Reference 26

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Observation acf78156-e881-4994-81a3-33c21ce7426f · outbound

This paper cites A free lunch from ann: Towards efficient, accurate spiking neural networks calibration,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems A free lunch from ann: Towards efficient, accurate spiking neural networks calibration,

Reference 27

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Observation 8b0ceccf-dc8d-4166-9b2d-36314b0bd96e · outbound

This paper cites Dueling network architectures for deep reinforcement learning,.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Dueling network architectures for deep reinforcement learning,

Reference 28

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Observation 39b8e72c-7896-4aec-84f4-6124c01b127c · outbound

This paper cites Proximal Policy Optimization Algorithms.

A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Proximal Policy Optimization Algorithms

Reference 29

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Observation a3739c19-e78f-4161-bf85-fbab26c35ad7 · outbound

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A Neuromorphic Reinforcement Learning Framework for Efficient Pathfinding in Robotic Mobile Fulfillment Systems Actor-critic algorithms,

Reference 30

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