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Paper Citation Record · LEDGER

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm

As of 22 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2505.08593.

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

pith.paper-citation-record.v1
2505.08593 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:58:42.265846Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

41 of 41 outbound references displayed

  • verified exact2
  • verified fuzzy28
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a714f5a6-7844-4efa-8a1d-d545c0cfc1a4 · outbound

This paper cites Drone swarm path planning for mobile edge computing in industrial internet of things,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Drone swarm path planning for mobile edge computing in industrial internet of things,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:43.738404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.331741Z digest=sha256:eb7f4ea9ffd1cb92d8990b09c65d036aa9481bab4c8dc83fc6c73acf6e8907f6

Observation f1e77e35-805d-440a-a02e-3153b0459bdc · outbound

This paper cites Multi-uav trajectory planning for 3d visual inspection of complex structures,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Multi-uav trajectory planning for 3d visual inspection of complex structures,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:41.403862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:41.403862Z digest=sha256:99e5d7b8612620739842fc092cfc23cb8e62cf297ff1cf227fb3892035d2bba9

Observation a10f46f5-a5af-4ba1-a1db-26fc64c09b25 · outbound

This paper cites Scalable cooperative transport of cable-suspended loads with uavs using distributed trajectory optimization,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Scalable cooperative transport of cable-suspended loads with uavs using distributed trajectory optimization,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:41.505972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:41.505972Z digest=sha256:68171c04820ccab522afbeb6fdc23038ce2880ea6b2df82098ca03a2c797f0c7

Observation 63091698-8bdf-48cb-b1dd-8218f6984069 · outbound

This paper cites Decentralized multi-agent planning using model predictive control and time-aware safe corridors,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Decentralized multi-agent planning using model predictive control and time-aware safe corridors,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:43.639703Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.510666Z digest=sha256:e9e4086e9f1c855d9e89456c930d2233e06a7e59442498b654a2a5f1170b062d

Observation 18004f0b-f77b-420f-a539-10420587c453 · outbound

This paper cites Robust mader: Decentralized multiagent trajectory planner robust to communication delay in dynamic environments,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Robust mader: Decentralized multiagent trajectory planner robust to communication delay in dynamic environments,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:43.623767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.515256Z digest=sha256:ff849531e45d57a3bfdc9106a37a9d750d3d4ebcc19edaee55d1742a655b76c0

Observation 5e8b995e-2256-49f0-9854-94cc3acaed32 · outbound

This paper cites Deadlock resolution and recursive feasibil- ity in mpc-based multi-robot trajectory generation,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Deadlock resolution and recursive feasibil- ity in mpc-based multi-robot trajectory generation,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:43.593549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.525240Z digest=sha256:b1b1e0c961fce747d23e069d0d98a1faa135fcba9fd1e71420b733b6d01b47fc

Observation 8d1277b7-4889-4f87-a989-3b095fee1509 · outbound

This paper cites Primitive-Swarm: An Ultra-lightweight and Scalable Planner for Large-scale Aerial Swarms.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Primitive-Swarm: An Ultra-lightweight and Scalable Planner for Large-scale Aerial Swarms

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:58:42.535657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.529656Z digest=sha256:249e13b3853aa0c650a8362b89fa2150313f59de6472506c7cd41fc15683e656

Observation 338eae30-afbc-48a9-bd2e-eead1840eb87 · outbound

This paper cites Multirobot exploration of communication-restricted environments: A survey,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Multirobot exploration of communication-restricted environments: A survey,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:43.578596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.534523Z digest=sha256:6a7502b5fbbda63061c0bdc6d017c75902e4a8cb7dcd70280abc0b43f194bff9

Observation a1aa31bf-ada3-4463-822a-db863ca5c01e · outbound

This paper cites Generation of collision-free trajectories for a quadrocopter fleet: A sequential convex programming approach,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Generation of collision-free trajectories for a quadrocopter fleet: A sequential convex programming approach,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:41.539281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:41.539281Z digest=sha256:948f47e735a6c42f82ecd6a2464c32455e3d2046ff313aae55e7a224d1c3dcbd

Observation 4db4db38-2fc7-4f2d-9684-16d3cb8d1af2 · outbound

This paper cites Efficient multi-agent trajectory planning with feasibility guarantee using relative bernstein polynomial,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Efficient multi-agent trajectory planning with feasibility guarantee using relative bernstein polynomial,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:43.469444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.543730Z digest=sha256:2c1bba920231a8f55e53f117f291029efdb260c598dcab0d7724984159c3b777

Observation d30d118a-057e-488e-b0aa-695d22fc88b4 · outbound

This paper cites Safe and complete trajectory generation for robot teams with higher-order dynamics,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Safe and complete trajectory generation for robot teams with higher-order dynamics,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:43.396460Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.548359Z digest=sha256:d4efd1358b1fb79aff274421872b76f8df159cce936789f119dbc169f2401b45

Observation f23d9b9f-b939-4e47-9009-ddce273afb13 · outbound

This paper cites High-speed motion planning for aerial swarms in unknown and cluttered environments,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm High-speed motion planning for aerial swarms in unknown and cluttered environments,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:43.381000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.552541Z digest=sha256:7c16f39a275dd18920ec1b83caa4d70bf84bc5d6d3be8aa8919b7bc7fb3bd117

Observation 3970cf11-bf24-442f-83e4-248dc3f32700 · outbound

This paper cites T-star: Time-optimal swarm trajectory planning for quadrotor unmanned aerial vehicles,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm T-star: Time-optimal swarm trajectory planning for quadrotor unmanned aerial vehicles,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:43.337748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.642989Z digest=sha256:ac2197aed012fd6ad4b6ebbaea76f00292e3e48e0664043f038f2781e8f25560

Observation 1b4e859a-a372-4a17-ae2d-552b411d1553 · outbound

This paper cites Mader: Trajectory planner in multiagent and dynamic environments,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Mader: Trajectory planner in multiagent and dynamic environments,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:43.198484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.756195Z digest=sha256:3c9152b4e3be42b474de9478541ce7092b52d32243691e2460de7986900c11c9

Observation a114653a-0e66-4bf2-83d3-66ef1426a7e4 · outbound

This paper cites Minvo basis: Finding simplexes with minimum volume enclosing polynomial curves,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Minvo basis: Finding simplexes with minimum volume enclosing polynomial curves,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:43.132956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.760978Z digest=sha256:35223584c141c8347b3349bb6f62be5ff13f4339486b31c3000433477ffa0c9b

Observation f6211042-42ec-45a4-90d8-c3e0d5e7f2c1 · outbound

This paper cites Swarm of micro flying robots in the wild,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Swarm of micro flying robots in the wild,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:43.117759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.765304Z digest=sha256:f0d884874df0591d044a2e4ca9bf4af206dfe857b56594c65b1151f27b9573a0

Observation c2a7c1a3-f122-45c2-a8ed-2dcca4c45f2e · outbound

This paper cites Geometrically constrained tra- jectory optimization for multicopters,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Geometrically constrained tra- jectory optimization for multicopters,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:41.769867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:41.769867Z digest=sha256:84234a2db01cc2a8730eaa3c90236372f96a24bd4b0f568b3467d9401736689c

Observation 01cb6b37-c2f5-4360-9869-0bd21bdf6f5f · outbound

This paper cites Dream: Decentralized real-time asynchronous probabilistic trajectory planning for collision-free multi- robot navigation in cluttered environments,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Dream: Decentralized real-time asynchronous probabilistic trajectory planning for collision-free multi- robot navigation in cluttered environments,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:43.092909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.775047Z digest=sha256:526e6358f4ee6c5afd48eab82ff2241318b69e10d9948dc5bbb6a7de71c7f3a0

Observation 0ceedd14-9279-4ee1-81b2-01714f106410 · outbound

This paper cites Gcbf+: A neural graph control barrier function framework for distributed safe multi-agent control,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Gcbf+: A neural graph control barrier function framework for distributed safe multi-agent control,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:43.010545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.779721Z digest=sha256:717c16a9014eb984496e349ee628561fa89babd86c9f3454fa1f6a3ef88b7bc4

Observation f59e82c8-dbd6-47dd-b02c-9748a4efb162 · outbound

This paper cites Rule-Based Lloyd Algorithm for Multi-Robot Motion Planning and Control with Safety and Convergence Guarantees.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Rule-Based Lloyd Algorithm for Multi-Robot Motion Planning and Control with Safety and Convergence Guarantees

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-15T21:58:42.366290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.784338Z digest=sha256:cc0daa443c6d269983b942a02184ca5f0038120a70d1452757dd08f199e6dbea

Observation 3829b35b-8ac4-4cb1-883e-df5d258a5861 · outbound

This paper cites Reactive mission and motion planning with deadlock resolution avoiding dynamic obstacles,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Reactive mission and motion planning with deadlock resolution avoiding dynamic obstacles,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:42.973286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.789519Z digest=sha256:d238c2f2607647babfc199100bf653eeb5af3411f0dad24752c2fbcf2cdbb1c3

Observation e37eb230-bf55-4a1a-89f8-3dfd67f723a4 · outbound

This paper cites Decentralized trajectory planning for quadrotor swarm in cluttered environments with goal convergence guarantee,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Decentralized trajectory planning for quadrotor swarm in cluttered environments with goal convergence guarantee,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:42.957043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:41.883331Z digest=sha256:b3afd13216a402aa6ec3f8aa4d09708370864a0fb2aadb512de29c21a87e04b0

Observation d447eb90-7385-461a-ad14-8bd99707898e · outbound

This paper cites Weighted buffered voronoi cells for distributed semi-cooperative behavior,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Weighted buffered voronoi cells for distributed semi-cooperative behavior,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:42.932891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:42.030118Z digest=sha256:ebf26c1bf369f2025c2f19340ac5dc95c101fae59ea43de86067188676f04933

Observation a9c2cbdb-06f1-4f84-a692-6f3108ea695d · outbound

This paper cites Deadlock prediction and recovery for distributed collision avoidance with buffered voronoi cells,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Deadlock prediction and recovery for distributed collision avoidance with buffered voronoi cells,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:43.608893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:42.035473Z digest=sha256:4ea7b35b31b9996967d7346add1b9ea2e557386daf5585e79fdcb893dd8e10db

Observation e74eb27f-7d19-4fe5-8257-3d53fff2a9cc · outbound

This paper cites Grpavoid: Multigroup collision- avoidance control and optimization for uav swarm,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Grpavoid: Multigroup collision- avoidance control and optimization for uav swarm,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:42.881879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:42.040150Z digest=sha256:d5ed8675d59e134b9169637183c7289f0c47fb9f57e3d702de642d44c5884fd4

Observation 3fab0419-78e4-462a-a471-300844ef0783 · outbound

This paper cites Multi-uav cooper- ative motion planning under global spatio-temporal path inspiration in constraint-rich dynamic environments,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Multi-uav cooper- ative motion planning under global spatio-temporal path inspiration in constraint-rich dynamic environments,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:42.847718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:42.044860Z digest=sha256:8e96fe9f39cd0972ac282cbb3ca458015a07870912274a00565a19390bdf3dae

Observation f0c4866b-ef62-45db-be79-a37d267706d0 · outbound

This paper cites Force-based algorithm for motion planning of large agent,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Force-based algorithm for motion planning of large agent,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:43.365276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:42.049347Z digest=sha256:cbbd30e0989b61f0f1be128716a8a8f1868f69888d48f10ca5827271116ad737

Observation fe5d7333-93b7-4ff3-bf65-a7b1beeca937 · outbound

This paper cites Least squares quantization in pcm,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Least squares quantization in pcm,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:42.054503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:42.054503Z digest=sha256:259a342e2049b216b76a611cbb0d0e68ec4df1d8253c09d6c5cc95773975d9dc

Observation 7eff2add-1143-4789-b451-4ee602305862 · outbound

This paper cites Online distributed trajectory planning for quadrotor swarm with feasibility guarantee using linear safe corridor,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Online distributed trajectory planning for quadrotor swarm with feasibility guarantee using linear safe corridor,

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:42.060111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:42.060111Z digest=sha256:c7e35afd208483b1d9ae414b5ec8248b4a2fc52cb0661ea9f8a673404872e2fc

Observation ec816719-e6d8-4fce-ac96-bf0625187a1e · outbound

This paper cites Dlsc: Distributed multi-agent trajectory planning in maze-like dynamic environments using linear safe corridor,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Dlsc: Distributed multi-agent trajectory planning in maze-like dynamic environments using linear safe corridor,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:42.814591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:42.064179Z digest=sha256:44b46aa901b098acc346d96096cc0451c5d393c813b76fcf4feadd6c98cbf9a1

Observation 0d22f9bb-b325-47ea-b527-cedf2b7e7478 · outbound

This paper cites Network time protocol version 4: Protocol and algorithms specification,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Network time protocol version 4: Protocol and algorithms specification,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:42.762303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:42.124099Z digest=sha256:b770fbc9d5e0c277841b84ad305a4a6535a32fd623b0355c4ca9372af947dd57

Observation 82e204ac-4517-4330-b64a-531fa61f2945 · outbound

This paper cites Decentralized deadlock-free trajectory planning for quadrotor swarm in obstacle-rich environments,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Decentralized deadlock-free trajectory planning for quadrotor swarm in obstacle-rich environments,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:42.187376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:42.187376Z digest=sha256:2b796e24b159e1c389af8f564298a76c3fb55ee8f71099e005d28e16c61e30ee

Observation 33d93802-d164-4cc0-9a11-6fd67c03ef34 · outbound

This paper cites Priority inheri- tance with backtracking for iterative multi-agent path finding,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Priority inheri- tance with backtracking for iterative multi-agent path finding,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:42.226868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:42.226868Z digest=sha256:0decda509bd597d30440a4170196c7a43319bb78d7cdf59bf4eab86258f05c18

Observation 27cbf569-e04d-4896-807c-ddf9eb360400 · outbound

This paper cites Real-time trajectory generation for constrained nonlinear dynamical systems using non-uniform rational b-spline basis functions,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Real-time trajectory generation for constrained nonlinear dynamical systems using non-uniform rational b-spline basis functions,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:42.698063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:42.231567Z digest=sha256:2391b2e3aacf0baffbcf314a774e3d8292e39f64a2ef12d5006a44d8b2ed93c0

Observation 5f17cc5e-4619-4161-98d9-d2f54222fdfb · outbound

This paper cites Efficient multi-agent trajectory planning with feasibility guarantee using relative bernstein polynomial,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Efficient multi-agent trajectory planning with feasibility guarantee using relative bernstein polynomial,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:42.682785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:42.236321Z digest=sha256:6dc1ccfd7b3e09939b7d1150dd900eac9d2670aadc50b96a2884f9959138f3cb

Observation 59fb007a-0302-494b-9d1a-8bba3adbdab3 · outbound

This paper cites Fast, on-line collision avoidance for dynamic vehicles using buffered voronoi cells,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Fast, on-line collision avoidance for dynamic vehicles using buffered voronoi cells,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:42.241154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:42.241154Z digest=sha256:341de05a44ae70866196ef4db8e0d2b32fef254f33c37cb50302900c19aa42d9

Observation 440b9bc0-25aa-49c6-a0a7-16143714bf96 · outbound

This paper cites Asynchronous real-time decentral- ized multi-robot trajectory planning,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Asynchronous real-time decentral- ized multi-robot trajectory planning,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:42.667193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:42.245909Z digest=sha256:1a8721c923513e03e580a35482c7c0bf2f3b9c482cf9ef39e149663a83438797

Observation ce80d62f-8487-4d4a-817c-2750287777b2 · outbound

This paper cites an unresolved cited work.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:42.251021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:42.251021Z digest=sha256:d378c9f92857088e40230258bfa01feaf26b06dae4034d8f22ca26e42be7b817

Observation 5613f921-612e-470f-85bc-82ce87b61188 · outbound

This paper cites Octomap: An efficient probabilistic 3d mapping framework based on octrees,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Octomap: An efficient probabilistic 3d mapping framework based on octrees,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T21:58:42.255426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:58:42.255426Z digest=sha256:3859d115c4e8edf0394164c903382d8e58d03320d7e57b39d6425b9ccdbcac0f

Observation cef6d0d3-12e9-4e95-8267-48c486407c66 · outbound

This paper cites 12.7. 0 user’s manual,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm 12.7. 0 user’s manual,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:42.567019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:42.260832Z digest=sha256:2be67d3124c84b9563b26c984a9657c8791eb53e8469678b614ce70287b3cbdc

Observation 16efd0e6-a727-4598-be13-57a0bb5bf6c0 · outbound

This paper cites Crazyflie 2.0 quadrotor as a platform for research and education in robotics and control engineering,.

MC-Swarm: Minimal-Communication Multi-Agent Trajectory Planning and Deadlock Resolution for Quadrotor Swarm Crazyflie 2.0 quadrotor as a platform for research and education in robotics and control engineering,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:58:42.552035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:58:42.265846Z digest=sha256:338f3a103a82a916a348118fedc2aa2442940b56a48c4916ac27cfa2763b5c96

Pith citing papers

No inbound Pith citation observations are available.