Paper Citation Record · LEDGER

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments

As of 19 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2507.07376.

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

pith.paper-citation-record.v1
2507.07376 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:46:36.666033Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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

29 of 29 outbound references displayed

verified exact2
verified fuzzy24
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 166d3737-c928-47fa-9828-127631e1a6be · outbound

This paper cites A review of the applications of multi-agent reinforcement learning in smart factories.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments A review of the applications of multi-agent reinforcement learning in smart factories

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:41.384160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a864d16-f8c9-41d7-926e-695b36d71be3 · outbound

This paper cites A multi-agent reinforcement learning framework for intelligent manufacturing with autonomous mobile robots.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments A multi-agent reinforcement learning framework for intelligent manufacturing with autonomous mobile robots

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:41.182427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ff034fd5-bbcf-485c-904d-f8884df0c12e · outbound

This paper cites A multi-agent reinforcement learning method for swarm robots in space collaborative exploration.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments A multi-agent reinforcement learning method for swarm robots in space collaborative exploration

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:41.016798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 117071fc-c499-4897-8415-688ebff66432 · outbound

This paper cites Formation control for multi-unmanned vehicles via deep reinforcement learning.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Formation control for multi-unmanned vehicles via deep reinforcement learning

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:40.821993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bf6a9793-ff7d-4e2b-9e31-5e8b5ef2257b · outbound

This paper cites Reinforcement learning for multi-agent formation navigation with scalability.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Reinforcement learning for multi-agent formation navigation with scalability

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:40.701497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4879755d-d0d6-4635-b2ce-2173098add21 · outbound

This paper cites Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Heterogeneous Multi-Agent Reinforcement Learning for Unknown Environment Mapping

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:46:37.152746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5f8a4aaf-008d-4f4c-9370-aa9037dbf049 · outbound

This paper cites H2gnn: Hierarchical-hops graph neural networks for multi-robot exploration in unknown environments.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments H2gnn: Hierarchical-hops graph neural networks for multi-robot exploration in unknown environments

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:40.521767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6be92e51-d2e1-4485-b61a-d820323f323a · outbound

This paper cites Deep reinforcement learning for decentralized multi-robot exploration with macro actions.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Deep reinforcement learning for decentralized multi-robot exploration with macro actions

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:40.343644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 985d91f8-ca80-409e-8b90-d07b1f1e67c8 · outbound

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

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Deep reinforcement learning robot for search and rescue applications: Exploration in unknown cluttered environments

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:40.225925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56600722-8cb4-4679-ac67-67cd8fd5edfd · outbound

This paper cites Hierarchical integration of model predictive and fuzzy logic control for combined coverage and target-oriented search-and-rescue via robots with imperfect sensors.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Hierarchical integration of model predictive and fuzzy logic control for combined coverage and target-oriented search-and-rescue via robots with imperfect sensors

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:40.081461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 92401eb4-040b-40d7-9af2-768c81982c23 · outbound

This paper cites Adaptive optimal receding-horizon robot navigation via short-term policy development.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Adaptive optimal receding-horizon robot navigation via short-term policy development

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:39.913566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d0819a45-dc5e-4360-8cee-7086d53cccee · outbound

This paper cites A complete methodology for generating multi-robot task solutions using asymtre-d and market-based task allocation.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments A complete methodology for generating multi-robot task solutions using asymtre-d and market-based task allocation

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:39.752862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 04691bf8-af29-4388-94d5-22087a6be7fe · outbound

This paper cites Frontier-based exploration using multiple robots.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Frontier-based exploration using multiple robots

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:39.568332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 973710e4-7f8e-4f1a-8f68-bb0e67896b14 · outbound

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

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments A survey on coverage path planning for robotics

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:39.410253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 32b222de-61fb-4a9c-8f37-fdd1e57fd36a · outbound

This paper cites Multi-Agent Coordination across Diverse Applications: A Survey.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Multi-Agent Coordination across Diverse Applications: A Survey

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T18:46:34.939613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b3b7bf0-3d88-43d5-b380-7bdf92e52cf1 · outbound

This paper cites A Modern Approach.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments A Modern Approach

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:39.294197Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 776d7fae-0150-4c7d-8ed4-e0a845b1f774 · outbound

This paper cites Scrimp: Scalable communication for reinforcement-and imitation-learning-based multi-agent pathfinding.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Scrimp: Scalable communication for reinforcement-and imitation-learning-based multi-agent pathfinding

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:39.101453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4c55e480-0cca-4843-9be9-831a0591ec73 · outbound

This paper cites Opportunistic multi-robot environmental sampling via decentralized markov decision processes.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Opportunistic multi-robot environmental sampling via decentralized markov decision processes

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:38.896213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8280157d-dd04-4ce3-8ccf-92d100195a74 · outbound

This paper cites Multirobot systems: a classification focused on coordination.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Multirobot systems: a classification focused on coordination

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:38.717800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d35e8ad8-a2f0-4751-acff-a897a2661357 · outbound

This paper cites A critical review of communications in multi-robot systems.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments A critical review of communications in multi-robot systems

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:46:35.764537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e2ad550-10dc-44c8-8d08-148dfb544f58 · outbound

This paper cites Challenge: Unlicensed lpwans are not yet the path to ubiquitous connectivity.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Challenge: Unlicensed lpwans are not yet the path to ubiquitous connectivity

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:38.540240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 67727cb0-9aa4-4f0d-bed2-7dc99960de3a · outbound

This paper cites Multi-agent systems for search and rescue applications.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Multi-agent systems for search and rescue applications

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:38.395955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 53c75a80-0976-4727-afc1-a3d3740eef50 · outbound

This paper cites Victor Lesser.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Victor Lesser

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:38.189809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 840a5139-cefe-4dba-9f33-75dc88a056ed · outbound

This paper cites Low-Bandwidth Communication Emerges Naturally in Multi-Agent Learning Systems.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Low-Bandwidth Communication Emerges Naturally in Multi-Agent Learning Systems

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-06T18:46:36.910482Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 77f85ade-cbee-4b27-90a2-421ad19ba532 · outbound

This paper cites Hma-sar: Multi-agent search and rescue for unknown located dynamic targets in completely unknown environments.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Hma-sar: Multi-agent search and rescue for unknown located dynamic targets in completely unknown environments

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:38.099307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7995eb59-79b1-4373-ae62-04e6153150d2 · outbound

This paper cites Self-learning exploration and mapping for mobile robots via deep reinforcement learning.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Self-learning exploration and mapping for mobile robots via deep reinforcement learning

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:37.956924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7356119-e85f-463d-a4d2-f605acc8113a · outbound

This paper cites Multi-agent actor-critic for mixed cooperative-competitive environments.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Multi-agent actor-critic for mixed cooperative-competitive environments

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:37.724100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2729afa7-3aae-44c5-8a06-02ff6f962091 · outbound

This paper cites Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T18:46:36.585985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5cbe7696-be67-4d03-973f-fe3cf14d45b0 · outbound

This paper cites Monotonic value function factorisation for deep multi-agent reinforcement learning.

PILOC: A Pheromone Inverse Guidance Mechanism and Local-Communication Framework for Dynamic Target Search of Multi-Agent in Unknown Environments Monotonic value function factorisation for deep multi-agent reinforcement learning

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T18:46:37.422897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Pith citing papers

No inbound Pith citation observations are available.