Pith. sign in

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 2026-08-21T06:32:19.484+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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.331741Z digest=sha256:68e03942b920576ffb3116c0e6462b8bb9ca1e799d6aca2066c8bb4700cd4227

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.510666Z digest=sha256:1baa93f06c99e56634308b4f86c464dfa5ae60097b8150b107729ae219211b18

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.515256Z digest=sha256:f8ab974dda8333117681a8ebad71e3363df6c05f5be8888caf9688ce79e1f52f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.525240Z digest=sha256:bd0d031aba6f84616ab7291c0d53f270b56dd75d2906d287066235d0528fcebc

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.529656Z digest=sha256:f599150f9119043b7a3c427fa24fc36618d523672928f22fd191f76fc1518596

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.534523Z digest=sha256:47ba6186e04c15ec8e39c303f15e575169bbdbf4d12f24083ad701a0d7dffaf1

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.543730Z digest=sha256:ad3e2ec3227485bf394530469d557dea5fc9ace8a1508ad29ef4019ad59c6406

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.548359Z digest=sha256:15d8b13c59c18721cf0b2572b28395a18c43577cc3c87562048d1d39567e4564

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.552541Z digest=sha256:566411b60a622a7bd561d2c2ccae95720b760dcfd017c9a4aaa29c2c740c11ee

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.642989Z digest=sha256:d34e95ffde60726097357a3f0818557cbd349fa01b2e534ddd0e6203d38685ea

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.756195Z digest=sha256:b358830287f9d6401243cdd2dec95ce59a6cdfb0efd04fb6a96c73326e6b091f

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.760978Z digest=sha256:441b7f8f4df30862675a843c65092d4189d186d847e99ba35dd8fa59ef17ca96

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.765304Z digest=sha256:1279b7e5375d4cf7334c3a1c9645bbae9d36d2929653f36a215f3f518bcc3be7

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.775047Z digest=sha256:bc5e2448f6b7d34bbf7124304ceef4c99baa6e52d7132a0271fa19720772c7c9

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.779721Z digest=sha256:b9cffbf283e2011942ee165f2e106a142cb2360890556218fa92e69a62b670db

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.784338Z digest=sha256:1619cc12714a5c7758596910c0ee1daa8291f54f0eba998fe9e47ddcf95a8c3b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.789519Z digest=sha256:2a5dc78d900bf5cf45401fead58f5694f943af03ed03ded55ead51c9c129b948

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:41.883331Z digest=sha256:ea8744b4b9b309666316dddcac60c044dbd80b1b35c47d097bb5a4bbb58c15b8

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:42.030118Z digest=sha256:d62d384f59f82bacc5118cceeac30b013e5759ee81672ae95cfc621b607223ba

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:42.035473Z digest=sha256:8c4e58ae217429bc4da2ed858a1240180d7f282abda42befc82beea0e7cb1ae1

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:42.040150Z digest=sha256:8a362a9537aa280ad364f1e7d2ba27d42e97be485f8028f62dece711a4cfe965

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:42.044860Z digest=sha256:37548cffb2d95ed0df0f2557d4b9eb3acc5ae96f60e00d99ad00ad9002937993

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:42.049347Z digest=sha256:218587550d9a295648e8aa6745fcc2b5e0ffe2b2ed3e36d9916b21fbee9865ef

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:42.064179Z digest=sha256:a2e86a71af13b66aa293b3bbedd19fbf61e9928571ff3241024ed158faf678ac

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:42.124099Z digest=sha256:c76f60a2779d63cf8d2eb694a8ff9b9d61d1d9088600c3800730fd1370371f54

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:42.231567Z digest=sha256:4479ca0885aac9dcc380cc6adc21aaad2e620a72528e302c480eef36c47b1981

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:42.236321Z digest=sha256:a4e5a6033d20b9b1107cb72b37f1c0745dca1ea90cd202a83b03749abcfee15b

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:42.245909Z digest=sha256:7c7e7e1e30ab9a94b1f4376c4988236f589f1aabb83bc6e7a83709c52b595996

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:42.260832Z digest=sha256:d4427c4b7bd280416ca3981c49902212729b9ca97d0823878c50839ab656e86e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-15T21:58:42.265846Z digest=sha256:ed61957259d2fc3c4d68d9b3c8721498874e05fda283b48c8dad82d088a5b23b

Pith citing papers

No inbound Pith citation observations are available.