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Paper Citation Record · LEDGER

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game

As of 8 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2505.14209.

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

pith.paper-citation-record.v1
2505.14209 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:43.089424Z

measured 53 of 53 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

53 of 53 outbound references displayed

  • verified exact2
  • verified fuzzy39
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 65c8b065-a85e-47ef-b361-1eab9e2c38ec · outbound

This paper cites A review of multi-agent perimeter defense games,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game A review of multi-agent perimeter defense games,

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c4f3cc1e-94f7-441c-97bc-b7f3f4597187 · outbound

This paper cites Local-game decomposition for multiplayer perimeter-defense problem,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Local-game decomposition for multiplayer perimeter-defense problem,

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation fa26c9d4-ef36-4ba6-ba65-b9fb0be63621 · outbound

This paper cites Modeling of target tracking system for homing missiles and air defense systems,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Modeling of target tracking system for homing missiles and air defense systems,

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c936c982-f38b-41d7-9c21-454a17f37d97 · outbound

This paper cites Simulation of intelligent unmanned aerial vehicle (UA V) for military surveillance,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Simulation of intelligent unmanned aerial vehicle (UA V) for military surveillance,

Reference 4

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raw_fallback, observed 2026-08-07T15:42:50.873793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5e3fc813-6565-4816-985c-6b53e6e1b204 · outbound

This paper cites A hierarchical deep reinforcement learning framework for 6-DOF UCA V air-to-air combat,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game A hierarchical deep reinforcement learning framework for 6-DOF UCA V air-to-air combat,

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:38.456607Z digest=sha256:fc795a3f5edf4fd74d3e95c559779bdbce67b8a2d1c38d40d8b0c40f554b15f5

Observation 379d3435-9bb1-42f4-a5da-fcd0ed85f181 · outbound

This paper cites an unresolved cited work.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Unresolved cited work

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 27fbd88d-1b71-4f12-a266-c61365f76bb3 · outbound

This paper cites Competitive perimeter defense on a line,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Competitive perimeter defense on a line,

Reference 7

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raw_fallback, observed 2026-08-07T15:42:50.313945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:38.658738Z digest=sha256:6d93c7b4d8ccfca41b1d702ccbcdcc8b0125c5c80dbc9b28e0c83973cb395ee7

Observation fcc9c6d1-6b0c-492b-b6a4-509d87dc53d1 · outbound

This paper cites Team composition for perimeter defense with patrollers and defenders,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Team composition for perimeter defense with patrollers and defenders,

Reference 8

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raw_fallback, observed 2026-08-07T15:42:50.185536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:38.757099Z digest=sha256:20cf535f12c0743f9ed181e24759be0624cb91fd5fa9742f605e12715df64f80

Observation 324a1788-5e9d-4905-910d-5038cbf905d9 · outbound

This paper cites Cooperative team strategies for multi-player perimeter-defense games,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Cooperative team strategies for multi-player perimeter-defense games,

Reference 9

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raw_fallback, observed 2026-08-07T15:42:49.902523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:38.828945Z digest=sha256:377d584ca581063a40b83c25c92fd40cbd57f44ef21e6328b793d28015b2e2fb

Observation 56ba129d-8a6c-4bf3-acaf-aed8e4d3be83 · outbound

This paper cites Perimeter-defense Game on Arbitrary Convex Shapes.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Perimeter-defense Game on Arbitrary Convex Shapes

Reference 10

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verified exact
local_arxiv, observed 2026-08-07T15:42:43.929369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 05b0481a-b4a2-4c99-949c-d298fa63ecf3 · outbound

This paper cites Multivehicle perimeter defense in conical environments,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Multivehicle perimeter defense in conical environments,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 17863a73-ca1d-4a16-b2a8-60180e8cb232 · outbound

This paper cites Perimeter-defense game between aerial defender and ground intruder,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Perimeter-defense game between aerial defender and ground intruder,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 4ae7e59d-1413-43d9-99d5-b5c0d91c514e · outbound

This paper cites Defending a perimeter from a ground intruder using an aerial defender: Theory and practice,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Defending a perimeter from a ground intruder using an aerial defender: Theory and practice,

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b018a4b0-ec6a-4571-a27e-469d6fa13937 · outbound

This paper cites Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Learning Decentralized Strategies for a Perimeter Defense Game with Graph Neural Networks

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:39.298718Z digest=sha256:3d59da20072cbd0e926f7548044f031870c769ba81ec6ae4ae580e59e48611dc

Observation 312c2a04-06eb-41d2-893f-e1f11cfbf1c5 · outbound

This paper cites Vision-based Perimeter Defense via Multiview Pose Estimation.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Vision-based Perimeter Defense via Multiview Pose Estimation

Reference 15

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local_arxiv, observed 2026-08-07T15:42:43.788711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:39.388461Z digest=sha256:56b9fc0e74ba9f26b15539f93a6c7cf05a110f3852b58e852afe3911176f169f

Observation a8d80f7f-51d0-40be-a679-11380716a7e4 · outbound

This paper cites The role of heterogeneity in autonomous perimeter defense problems,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game The role of heterogeneity in autonomous perimeter defense problems,

Reference 16

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raw_fallback, observed 2026-08-07T15:42:49.225002Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 58c816ab-d90a-473e-b3fd-b6b1b53401e5 · outbound

This paper cites Intercept angle missile guidance under time vary- ing acceleration bounds,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Intercept angle missile guidance under time vary- ing acceleration bounds,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 256f5199-5ffc-4291-854c-a9e0c8da7102 · outbound

This paper cites The effects of different wing configurations on missile aerodynamics,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game The effects of different wing configurations on missile aerodynamics,

Reference 18

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raw_fallback, observed 2026-08-07T15:42:48.818595Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:39.677375Z digest=sha256:c7db98eb783f71614e1601cfc6c241c921c1fc1b551b9401f59269d758c90115

Observation 7e93d0f3-3bc3-4c03-9456-843af168c59d · outbound

This paper cites Dynamic Modeling, Guidance, and Control of Missiles,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Dynamic Modeling, Guidance, and Control of Missiles,

Reference 19

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raw_fallback, observed 2026-08-07T15:42:48.674741Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:39.769059Z digest=sha256:ffa370cb57738222143e183a5496b35fb82e098c41c23ac39602a30647dbc17c

Observation 8311fe39-57fa-4673-9453-f8711b8e3172 · outbound

This paper cites Nonlinear Autopilot for Improving Guidance Performance of Dual-controlled Missiles With Lateral Thrust Regulation,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Nonlinear Autopilot for Improving Guidance Performance of Dual-controlled Missiles With Lateral Thrust Regulation,

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation a50164ba-0f11-41e0-9a38-227bd6b50a5f · outbound

This paper cites Wind compensation framework for unpowered aircraft using online waypoint correction,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Wind compensation framework for unpowered aircraft using online waypoint correction,

Reference 21

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 520d503d-b98b-489c-a18a-c3f8e79e196f · outbound

This paper cites Attitude control in ascent phase of missile considering actuator non-linearity and wind disturbance,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Attitude control in ascent phase of missile considering actuator non-linearity and wind disturbance,

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 29b6f66e-9ec6-456a-b64e-96871d3824b5 · outbound

This paper cites Safe multi-agent reinforcement learning for multi-robot control,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Safe multi-agent reinforcement learning for multi-robot control,

Reference 23

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Observation 6135d2c2-d6fe-40b0-97d1-dfeba5c7e7ca · outbound

This paper cites Deep reinforcement learning for autonomous driving: A survey,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Deep reinforcement learning for autonomous driving: A survey,

Reference 24

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raw_fallback, observed 2026-08-07T15:42:47.508583Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 10c61f30-828e-42a7-8910-6485512d4f5a · outbound

This paper cites Cooperative control for multi-player pursuit-evasion games with reinforcement learning,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Cooperative control for multi-player pursuit-evasion games with reinforcement learning,

Reference 25

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raw_fallback, observed 2026-08-07T15:42:47.272327Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:40.246739Z digest=sha256:083c14ce94995b5dd9a9970bbb76bc2dace06cc06718bafd989e8e237b46950a

Observation e67381ad-a566-489a-847b-f2b864d3b10c · outbound

This paper cites An approach to multi-agent pursuit evasion games using reinforcement learning,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game An approach to multi-agent pursuit evasion games using reinforcement learning,

Reference 26

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raw_fallback, observed 2026-08-07T15:42:47.146654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:40.348726Z digest=sha256:b6774fe203efad553ff91c2ac3de3c2fe5199156f9d649ac4047c1e3a2d56260

Observation a5364b30-a2ac-4243-a5b8-9ac7ebc4ec71 · outbound

This paper cites Game of drones: Multi-UA V pursuit-evasion game with online motion planning by deep reinforcement learning,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Game of drones: Multi-UA V pursuit-evasion game with online motion planning by deep reinforcement learning,

Reference 27

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raw_fallback, observed 2026-08-07T15:42:47.013373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 710c10ea-224c-4660-b95e-4577a399ed4c · outbound

This paper cites Maximum Entropy Heterogeneous-Agent Reinforcement Learning,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Maximum Entropy Heterogeneous-Agent Reinforcement Learning,

Reference 28

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:40.535742Z digest=sha256:786c795043b50a77da4462c1a548a64098e34c421118e36ed1b706fdeb5be08d

Observation 7547ce98-5989-403d-b972-0fe3dd10ee7d · outbound

This paper cites Heterogeneous-Agent Reinforcement Learning,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Heterogeneous-Agent Reinforcement Learning,

Reference 29

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raw_fallback, observed 2026-08-07T15:42:46.657243Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:40.657830Z digest=sha256:8c9030f57e11ee11d473e4c3d2f07082a12933e9a43d0589b0ad2eb545c04ae2

Observation c61f88cb-45c9-4b7e-aa09-88fb133624ab · outbound

This paper cites Mean field multi-agent reinforcement learning,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Mean field multi-agent reinforcement learning,

Reference 30

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raw_fallback, observed 2026-08-07T15:42:46.461921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:40.759302Z digest=sha256:7a87f8a2c465abc39000474c89bf0d35f579a046f6d0697bae3c91e6fdcd224e

Observation 12a531f5-9329-45ee-b401-99861dc44209 · outbound

This paper cites Age of information minimization using multi-agent UA Vs based on AI-enhanced mean field resource allocation,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Age of information minimization using multi-agent UA Vs based on AI-enhanced mean field resource allocation,

Reference 31

Resolution
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raw_fallback, observed 2026-08-07T15:42:46.284738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:40.864615Z digest=sha256:860033586ac1654d229bfec209f6e1f07c6c376280590b837224619c44e89805

Observation bdce975b-b2a2-4c57-a50b-99b896aae4e9 · outbound

This paper cites Joint Resource Allocation for V2X Communications With Multi-Type Mean-Field Reinforcement Learning,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Joint Resource Allocation for V2X Communications With Multi-Type Mean-Field Reinforcement Learning,

Reference 32

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raw_fallback, observed 2026-08-07T15:42:46.114954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:40.970120Z digest=sha256:f9dfdea73c09fb78e122fbbce5df20633c48f5347d2cb7893660555ff47105ee

Observation 0afa7f07-8595-4382-8b48-767c432eff80 · outbound

This paper cites Mean Field Deep Reinforcement Learning for Fair and Efficient UA V Control,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Mean Field Deep Reinforcement Learning for Fair and Efficient UA V Control,

Reference 33

Resolution
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raw_fallback, observed 2026-08-07T15:42:43.616797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:41.077375Z digest=sha256:3fb53bac75a422f67685e4394a7f7fa96a994e7e2d7059f4812621800a8f7374

Observation dee4f7b5-5477-482f-a1f8-33c7f32a061e · outbound

This paper cites Multi Type Mean Field Reinforcement Learning.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Multi Type Mean Field Reinforcement Learning

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:41.184986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:41.184986Z digest=sha256:85d788ea5106bbfd13f7670a5ca6b9c30df60af0ab8cf1970706527c4c0506bc

Observation 38bc597a-1abb-4b0f-a0f6-ced8a82370af · outbound

This paper cites Hierarchical mean-field deep reinforcement learning for large- scale multiagent systems,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Hierarchical mean-field deep reinforcement learning for large- scale multiagent systems,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:45.922723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:41.261386Z digest=sha256:f5d93b39a429980bd5b75f22e0d3c7785bdb8591da10ac80b29d4ac1c32685d8

Observation 6f150726-7e75-4fc8-a18b-420724056de4 · outbound

This paper cites Weighted mean-field multi-agent reinforcement learning via reward attribution decomposition,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Weighted mean-field multi-agent reinforcement learning via reward attribution decomposition,

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-07T15:42:45.672117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 036df322-0de1-497a-bcae-144972e55f63 · outbound

This paper cites Attention Is All You Need,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Attention Is All You Need,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:45.444065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5e413bd5-7749-47ff-be18-b0a785b446e2 · outbound

This paper cites Unsupervised Representation Learning in Deep Reinforcement Learning: A Review.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Unsupervised Representation Learning in Deep Reinforcement Learning: A Review

Reference 38

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unresolved
no resolver link, observed 2026-08-07T15:42:41.674213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1207fbde-401b-4161-b3c6-8aa73c267d56 · outbound

This paper cites Fraccaro, S.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Fraccaro, S

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:45.225758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 7f3d9612-0999-4416-b083-1f582aa50176 · outbound

This paper cites Ha and J.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Ha and J

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:45.046871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ae5c331c-da92-4ead-86a5-b41221d49ccd · outbound

This paper cites World Models.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game World Models

Reference 41

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unresolved
no resolver link, observed 2026-08-07T15:42:41.944567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:41.944567Z digest=sha256:8775ebe94f28c8f0f7d5c4b4ecf961694d81b8c4eef4f23e1571da3d4643851a

Observation 9e21d576-90cf-466f-965b-7036f8dde1f2 · outbound

This paper cites Plannable Approximations to MDP Homomorphisms: Equivariance under Actions.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Plannable Approximations to MDP Homomorphisms: Equivariance under Actions

Reference 42

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unresolved
no resolver link, observed 2026-08-07T15:42:42.026878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:42.026878Z digest=sha256:cb01d92188251b8992f9c882f27c0958faabb798db629d3943a419883006831b

Observation b26677a0-cb7a-4c76-9349-7035b64c0361 · outbound

This paper cites Deep Reinforcement Learning in Large Discrete Action Spaces.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Deep Reinforcement Learning in Large Discrete Action Spaces

Reference 43

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unresolved
no resolver link, observed 2026-08-07T15:42:42.109923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:42.109923Z digest=sha256:fec4ab3d80a610b04bf1e8d5f954a14216af1a922c7ea0a00a342b0f4b91642c

Observation b2926790-48f9-448a-8686-a10be5b23d0c · outbound

This paper cites MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game MA2CL:Masked Attentive Contrastive Learning for Multi-Agent Reinforcement Learning

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:42.213768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:42.213768Z digest=sha256:2eadc53e2bf6da691e48fe81c8c7454a8f15f70520fd75ff5fdf4f6ec156db77

Observation 8a638511-1288-41c9-8a87-59ef9655ccc4 · outbound

This paper cites Learning action representations for reinforcement learning,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Learning action representations for reinforcement learning,

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:44.916663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:42.318289Z digest=sha256:d818d6d70bfc8fdb229fbb47fc6f7ae01a63307a3f1d5a04968b0a6c14ff965d

Observation 9ac4c81d-f50c-45c2-aae7-2f93d65379a9 · outbound

This paper cites The Hungarian method for the assignment problem,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game The Hungarian method for the assignment problem,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:44.721298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:42.407479Z digest=sha256:7d805a97386296555ac31b40078e376dd4bacc7aa0c271a0b7782effe922b7c0

Observation 69449878-9d92-4fc5-bf49-784d27c3f492 · outbound

This paper cites an unresolved cited work.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Unresolved cited work

Reference 47

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 13d15a98-7054-4a45-a24a-ecf168993048 · outbound

This paper cites Robust estimation of a location parameter,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Robust estimation of a location parameter,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:42.587925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:42.587925Z digest=sha256:c05b3100443496cea3ef1b7bfb016776301b7490a3f306dad1a9008f5f6d72ce

Observation c0e6bd86-c020-4fe6-864a-bf25a73feff5 · outbound

This paper cites Continuous control with deep reinforcement learning.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Continuous control with deep reinforcement learning

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:42.682393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:42.682393Z digest=sha256:0e06e359d9349d32a584820e353d58b2b3ad0c49f2c4ad022e3961c00f337909

Observation e8720438-3187-4770-8331-15ad22b8bb0f · outbound

This paper cites Addressing function approxima- tion error in actor-critic methods,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Addressing function approxima- tion error in actor-critic methods,

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:44.590441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:42.770074Z digest=sha256:0b7ad9dd2d77cb4a7c9c1099b740174d18c9fc747054b15d7993649f909a0a70

Observation c203d6cb-65ae-4b5e-9703-e641c0e661e3 · outbound

This paper cites Multi-agent actor-critic for mixed cooperative-competitive envi- ronments,.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game Multi-agent actor-critic for mixed cooperative-competitive envi- ronments,

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:44.443084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:42.844272Z digest=sha256:1dbe2a51bf0b88f69b457bdce26e1cc34b6d3046ee14520bdcb0c790f90aab2f

Observation a557bfc1-3d13-4617-948b-42165aa6fef2 · outbound

This paper cites degree at the same institution, under the supervision of Prof.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game degree at the same institution, under the supervision of Prof

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:44.130662Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:43.089424Z digest=sha256:277bea3fb59ceb8a620311c74d3e71507657c6adb22fd0ec0a1046b0eed46108

Observation 0f8e4b14-4df5-4bdc-88f9-7aabac3966c7 · outbound

This paper cites degree at the same institution, under the supervision of Prof.

Embedded Mean Field Reinforcement Learning for Perimeter-defense Game degree at the same institution, under the supervision of Prof

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:42:44.263995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T15:42:42.956255Z digest=sha256:22aed7ea176abe79f31420248d5f8b8990d9e1a00718f053af1259a9e87433e3

Pith citing papers

No inbound Pith citation observations are available.