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Paper Citation Record · LEDGER

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering

As of 18 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2504.21113.

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

pith.paper-citation-record.v1
2504.21113 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:18:52.656749Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

29 of 29 outbound references displayed

  • verified exact2
  • verified fuzzy19
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d61d2cfa-3f7f-4e8b-89f4-a6156543feb5 · outbound

This paper cites Multi-agent Coverage Control: From Discrete Assignments to Continuous Multi-agent Distribution Matching.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Multi-agent Coverage Control: From Discrete Assignments to Continuous Multi-agent Distribution Matching

Reference 1

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verified exact
local_arxiv, observed 2026-08-16T05:18:52.780632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation c6613a04-3e8b-4ff9-86dc-9b6cac301dd2 · outbound

This paper cites an unresolved cited work.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:53.946422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 111407e3-15d0-4694-93ed-89e43f3e72fd · outbound

This paper cites Coverage control for mobile sensing networks,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Coverage control for mobile sensing networks,

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:52.133093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:52.133093Z digest=sha256:ab0cfa4e515ddcb7d4582866f8011f264bcf295b62cdf65fcd7b99bdb6a90e94

Observation 1cbb808e-ea7f-48d1-81f4-65b9b9bd935a · outbound

This paper cites Statistical coverage control of mobile sensor networks,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Statistical coverage control of mobile sensor networks,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:53.924952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.137228Z digest=sha256:84bba1d9b709e589d804155a28b30101af0bf7b9391078f5f94cc343fec5ca3a

Observation ca96a979-5a87-4038-bde7-a8e9583c63b8 · outbound

This paper cites Decentralized, adaptive cover- age control for networked robots,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Decentralized, adaptive cover- age control for networked robots,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:53.911445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.140996Z digest=sha256:e00e16a8b46cb73f76bd6057a1b72267989f0cc4f872a9c0ef0e43cee19c2b7b

Observation cf8fea66-a367-4b43-a54e-e97544cffc54 · outbound

This paper cites A coverage algorithm for a class of non-convex regions,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering A coverage algorithm for a class of non-convex regions,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:53.865270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.144945Z digest=sha256:f397ba8b935edf1bddbc6217618052f7cfcacb32035dbdf2cb0e1575c68d9310

Observation a3d999bc-b445-451e-a316-33c5d6ea6c79 · outbound

This paper cites Distributed collaborative coverage-control schemes for non-convex domains,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Distributed collaborative coverage-control schemes for non-convex domains,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:53.834894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.148965Z digest=sha256:f9cc4bdc4ff5e8ae42fc538ba4e335a581bc4e081da29e31bd3d950c2229e4a6

Observation 7e580475-52c9-4664-b0dc-a2b666dc02e3 · outbound

This paper cites Multi-robot coverage and ex- ploration on riemannian manifolds with boundaries,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Multi-robot coverage and ex- ploration on riemannian manifolds with boundaries,

Reference 8

Resolution
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raw_fallback, observed 2026-08-16T05:18:53.821749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.152711Z digest=sha256:90a5c95a1c19dae4ba9d84cd9001e8cf327dfb52dd34c8f39f2092e474705982

Observation add5674f-d7c8-4cfa-a3f7-c8d778f8a697 · outbound

This paper cites V oronoi-based multi-robot autonomous exploration in unknown environments via deep reinforcement learning,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering V oronoi-based multi-robot autonomous exploration in unknown environments via deep reinforcement learning,

Reference 9

Resolution
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raw_fallback, observed 2026-08-16T05:18:53.808091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.156261Z digest=sha256:13d4c3d35c41614c0d6e07114bb8e213e390002d274b6e820049967d07dd5d7e

Observation 9854a88a-c91a-4f0a-94da-0ac6b11243dc · outbound

This paper cites Distributed multirobot coverage control of nonconvex environments with guarantees,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Distributed multirobot coverage control of nonconvex environments with guarantees,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:53.793856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.159972Z digest=sha256:b0e7cd4fcaff949b89d223258fbbb9b8aaf9edb1a1ac486f22c7ae6f848f6568

Observation 38c240e2-f841-4354-b8aa-a29e1e5a476a · outbound

This paper cites Adaptive centroidal voronoi tessellation with agent dropout and reinsertion for multi-agent non-convex area coverage,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Adaptive centroidal voronoi tessellation with agent dropout and reinsertion for multi-agent non-convex area coverage,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:53.780199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.163430Z digest=sha256:b1269e3245b9a3bce89e8f42fb3eceb81e8d3e264ecf27cd511883c21a9d9e1a

Observation dca3349e-98bd-4d61-84f7-3f5597ac8a3d · outbound

This paper cites Approximating k-median via pseudo- approximation,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Approximating k-median via pseudo- approximation,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:53.764521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.166487Z digest=sha256:4f5747154c3b69ca46a1a9352bda78312d402ee550d252906d5d523b3a68ef2a

Observation 0b45827e-2b4a-490b-ad21-8765f3b395a6 · outbound

This paper cites Re- silient coverage: Exploring the local-to-global trade-off,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Re- silient coverage: Exploring the local-to-global trade-off,

Reference 13

Resolution
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raw_fallback, observed 2026-08-16T05:18:53.749880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.171195Z digest=sha256:badf5678b598988e7bb2bee4c1fa761537a57bf871401ec5d496ad7d0cbfde07

Observation 023c82e1-25ad-4ea6-921c-da57fb9e38e2 · outbound

This paper cites Exploiting submodularity to quantify near-optimality in multi-agent coverage problems,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Exploiting submodularity to quantify near-optimality in multi-agent coverage problems,

Reference 14

Resolution
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no resolver link, observed 2026-08-16T05:18:52.254911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:52.254911Z digest=sha256:0fbc5abc67315b6dcc37fc51816d3c8c07ab1a62edbafed03b53a25ee596dd08

Observation ed937bad-73d0-4b73-9bf9-8fbccfc2b192 · outbound

This paper cites Near-optimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical stud- ies,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Near-optimal sensor placements in Gaussian processes: Theory, efficient algorithms and empirical stud- ies,

Reference 15

Resolution
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raw_fallback, observed 2026-08-16T05:18:53.730289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.353583Z digest=sha256:67f1bc10ae9b32a0425aa7a3f24e63545eb3b68a74eb70b0e6742555f46c8517

Observation 8155be26-c468-4905-9c64-b22068a139b0 · outbound

This paper cites Submodular Maximization Subject to Uniform and Partition Matroids: From Theory to Practical Applications and Distributed Solutions.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Submodular Maximization Subject to Uniform and Partition Matroids: From Theory to Practical Applications and Distributed Solutions

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:52.436982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:52.436982Z digest=sha256:7c87e0b406537b4a63ee46db1fcacb38fa7a1a237f818a1abab64befa90301be

Observation 44f84e2b-8098-4723-b07c-3c612b41c743 · outbound

This paper cites Submodular optimization for coupled task allocation and intermittent deployment problems,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Submodular optimization for coupled task allocation and intermittent deployment problems,

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-16T05:18:53.716500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.504612Z digest=sha256:778b141199066772008c3b8ef64404f4e6dfbf6670fd5f8eda6e2a3c76d79eb4

Observation 7ed7d076-6b31-429d-be41-dc317b246859 · outbound

This paper cites Resource-aware distributed submodular max- imization: A paradigm for multi-robot decision-making,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Resource-aware distributed submodular max- imization: A paradigm for multi-robot decision-making,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:53.662961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 49025ace-9957-4649-8095-c8baf91621d0 · outbound

This paper cites Distributed strategy selection: A sub- modular set function maximization approach,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Distributed strategy selection: A sub- modular set function maximization approach,

Reference 19

Resolution
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no resolver link, observed 2026-08-16T05:18:52.611881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:52.611881Z digest=sha256:f12f055322f913945364941be3a047eedb1e91d579adcfd693898f98c1d6c742

Observation 070e734c-1152-478f-a419-d8452f43f24d · outbound

This paper cites Inverse submodular maximization with application to human-in-the-loop multi-robot multi-objective coverage control,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Inverse submodular maximization with application to human-in-the-loop multi-robot multi-objective coverage control,

Reference 20

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verified exact
raw_fallback, observed 2026-08-16T05:18:52.750608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.616296Z digest=sha256:4cfc4f4a44098f511fc17147b0c946e4f9332d0ae02c146ce694f16d14e6f26f

Observation 6bf20d1c-898a-442f-a25f-00103e39c43d · outbound

This paper cites Kaufman and P.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Kaufman and P

Reference 21

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raw_fallback, observed 2026-08-16T05:18:53.409069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.621843Z digest=sha256:6fe5ae53bbf87e76de2a28151939a93557b5a89f23491c088e8eb109f0313cc9

Observation 1617adf0-80d1-4fa4-a78a-62808a193308 · outbound

This paper cites Streaming submodular maximization: Massive data summarization on the fly,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Streaming submodular maximization: Massive data summarization on the fly,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-16T05:18:53.308107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.626407Z digest=sha256:e7c49af3f811579bfdee157e00bbcf79ac7321e3a42a3db140afb95d3d0d956d

Observation 2c4c446a-de67-462e-9068-85659984f58f · outbound

This paper cites De Berg, Computational geometry: algorithms and applications.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering De Berg, Computational geometry: algorithms and applications

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:52.630258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:52.630258Z digest=sha256:352d3a00a6104390b61fe7accfc244efd6a0b623d8c0f86ec79e8bffab498c35

Observation 99ed447b-5d08-4fe1-9b04-636a64b6a3e7 · outbound

This paper cites Informed rrt*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Informed rrt*: Optimal sampling-based path planning focused via direct sampling of an admissible ellipsoidal heuristic,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:53.288993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.633806Z digest=sha256:9976f2953fa341dd074f3bc51adb78b09c606c4cb1883a5d85f7d59ae2890af6

Observation 241365d8-e3c8-421e-84c5-9909268d608a · outbound

This paper cites An algorithm for planning collision- free paths among polyhedral obstacles,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering An algorithm for planning collision- free paths among polyhedral obstacles,

Reference 25

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verified fuzzy
raw_fallback, observed 2026-08-16T05:18:53.276580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.638198Z digest=sha256:f19cb684ac0c9a63c9b92e794fb0c88ead8234c85405f0b06de4cf53a6bd00eb

Observation 028e6cfd-595d-4791-a631-cc922fa6ce68 · outbound

This paper cites an unresolved cited work.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-16T05:18:53.263928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.643178Z digest=sha256:08970adfa90ee22543369a3ec6097d109ffac4aff013de56725a24e01a374687

Observation abeaddb4-641f-423f-ab11-996080193580 · outbound

This paper cites Sampling-based algorithms for optimal motion planning,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Sampling-based algorithms for optimal motion planning,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T05:18:52.648139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:18:52.648139Z digest=sha256:004a00249b9b2a2148f9927fed203b160f981065914df4dc42cd1768b0010873

Observation 66307038-2273-45c7-8798-477ccb072ffb · outbound

This paper cites Gaussian process-based traversability analysis for terrain mapless navigation,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Gaussian process-based traversability analysis for terrain mapless navigation,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:53.117480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.652656Z digest=sha256:fa4d7832fd0a26bd464b8e47e085ce64dbd1adf1f0394bc2e80174e4d9a63069

Observation dda26044-a420-44af-8bbc-15cd514ffab5 · outbound

This paper cites Budgeted nonparametric learning from data streams,.

NavEX: A Multi-Agent Coverage in Non-Convex and Uneven Environments via Exemplar-Clustering Budgeted nonparametric learning from data streams,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:18:52.830487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T05:18:52.656749Z digest=sha256:cad61710e4f9d2fb54212938eb9b9ce382add626eb3d73b1b727f755f8852224

Pith citing papers

No inbound Pith citation observations are available.