Paper Citation Record · LEDGER

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning

As of 13 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2604.23179.

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

pith.paper-citation-record.v1
2604.23179 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T07:59:42.221166Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

26 of 26 outbound references displayed

verified exact0
verified fuzzy26
unresolved0
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aad1f16f-ac42-4ec2-af39-a9aed1cbcb44 · outbound

This paper cites Analysis of factors inﬂuencing ofﬁce workplace planning and design in corporate facilities.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Analysis of factors inﬂuencing ofﬁce workplace planning and design in corporate facilities

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:46.013112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ed61bc6f-689a-482a-9617-c179440eb7e2 · outbound

This paper cites Human motion trajectory prediction: A survey.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Human motion trajectory prediction: A survey

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:46.009473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7abf3a7e-73b4-4fdd-b331-0fb0bf5e721d · outbound

This paper cites Active perception.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Active perception

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:46.026756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 60def865-83d2-46f3-a5ed-0fe94f6c05d4 · outbound

This paper cites Information based adaptive robotic explo- ration.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Information based adaptive robotic explo- ration

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:46.033807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eccf3af7-94f9-4100-bc68-ae9d4825e1df · outbound

This paper cites Marvel: Multi-agent reinforcement learning for constrained ﬁeld-of-view multi-robot exploration in large-scale environments.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Marvel: Multi-agent reinforcement learning for constrained ﬁeld-of-view multi-robot exploration in large-scale environments

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:46.019989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 7f3dd1aa-fb2a-4195-b166-e76496f1622a · outbound

This paper cites Persistent robotic tasks: Monitoring and sweeping in changing environments.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Persistent robotic tasks: Monitoring and sweeping in changing environments

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:46.023538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 56334cd1-8796-475c-8d31-bdf132459394 · outbound

This paper cites A frontier-based approach for autonomous ex- ploration.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning A frontier-based approach for autonomous ex- ploration

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:46.037256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation ea308138-d4b1-4490-921c-f309d5c4d9fc · outbound

This paper cites Multi-robot active in- formation gathering with periodic communication.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Multi-robot active in- formation gathering with periodic communication

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:45.986258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 564ebdd5-05ec-4f54-863d-741ee0aa8414 · outbound

This paper cites Adaptive infor- mative path planning with multimodal sensing.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Adaptive infor- mative path planning with multimodal sensing

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:45.996183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6cf8c051-79e0-4281-86bd-9e86b7d9ee17 · outbound

This paper cites Deep reinforcement learning for active target tracking.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Deep reinforcement learning for active target tracking

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:45.982872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 60c4a30f-64a6-404b-9f81-481fe868fddf · outbound

This paper cites Adaptive informative path plan- ning using deep reinforcement learning for uav-based active sens- ing.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Adaptive informative path plan- ning using deep reinforcement learning for uav-based active sens- ing

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:45.976218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d602e15a-b7bc-41e1-93dd-9ed1b5c631fd · outbound

This paper cites Mstc*: Multi-robot coverage path planning under physical constrain.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Mstc*: Multi-robot coverage path planning under physical constrain

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:46.002949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 023def93-69a4-467d-996b-5da547b1eb06 · outbound

This paper cites Priority-aware multi-robot coverage path planning.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Priority-aware multi-robot coverage path planning

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:45.960570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e3b190ff-ee96-418c-8003-5374f82e1e26 · outbound

This paper cites Turn-minimizing multirobot coverage.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Turn-minimizing multirobot coverage

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:46.030256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f638ad17-bf88-4bb7-a974-41c0b71d4abb · outbound

This paper cites Planning periodic persistent monitoring trajectories for sensing robots in gaussian random ﬁelds.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Planning periodic persistent monitoring trajectories for sensing robots in gaussian random ﬁelds

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:46.006307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 27fb4f5e-2262-41e0-a228-dd0dafca7a84 · outbound

This paper cites An autonomous coverage path planning algorithm for maritime search and rescue of persons- in-water based on deep reinforcement learning.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning An autonomous coverage path planning algorithm for maritime search and rescue of persons- in-water based on deep reinforcement learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:45.954676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 70ef3022-7c3c-4d87-9320-eff49fca7fdc · outbound

This paper cites Human implicit preference-based policy ﬁne-tuning for multi-agent reinforcement learning in usv swarm.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Human implicit preference-based policy ﬁne-tuning for multi-agent reinforcement learning in usv swarm

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:45.972899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation f3736977-c009-40db-b5fa-7e09e2c24cd1 · outbound

This paper cites A decentralized mul- tirobot spatiotemporal multitask assignment approach for perimeter defense.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning A decentralized mul- tirobot spatiotemporal multitask assignment approach for perimeter defense

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:46.016498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 6cfe5258-0e15-4840-9648-c4cf0e3dd384 · outbound

This paper cites A policy-guided reinforce- ment learning method for encirclement control in multiobstacle environment.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning A policy-guided reinforce- ment learning method for encirclement control in multiobstacle environment

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:45.969562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 8d3cf707-79b7-4905-885f-1ab0fd34269b · outbound

This paper cites The complexity of decentralized control of markov decision processes.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning The complexity of decentralized control of markov decision processes

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:45.966483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 421a331a-db1c-4a39-bb8e-678ecd754963 · outbound

This paper cites The surprising effectiveness of ppo in cooperative multi-agent games.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning The surprising effectiveness of ppo in cooperative multi-agent games

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:45.979513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 70533d1e-30ee-4bf8-b2d9-5c6b68a283c4 · outbound

This paper cites Set transformer: A framework for attention-based permutation- invariant neural networks.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Set transformer: A framework for attention-based permutation- invariant neural networks

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:45.999658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 5a4a0bf9-c615-46ee-99b4-ce51b87f182b · outbound

This paper cites Computer-generated res- idential building layouts.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Computer-generated res- idential building layouts

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:45.957543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c66ab558-d4b1-4c2d-97a5-a5723578a97f · outbound

This paper cites Limits of pre- dictability in human mobility.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Limits of pre- dictability in human mobility

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:45.989383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation d7bcf923-33fd-472f-b33c-c02c772822aa · outbound

This paper cites Using gps to learn signiﬁcant locations and predict movement across multiple users.

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning Using gps to learn signiﬁcant locations and predict movement across multiple users

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:45.992790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1c97fd15-0514-48e0-b1fa-78d582dfdf55 · outbound

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

Cooperative Informative Sensing for Monitoring Dynamic Indoor Environments via Multi-Agent Reinforcement Learning A formal basis for the heuristic determination of minimum cost paths

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-05-26T17:22:45.963412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Pith citing papers

No inbound Pith citation observations are available.