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Paper Citation Record · LEDGER

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning

As of 10 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2506.20031.

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

pith.paper-citation-record.v1
2506.20031 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:01:14.037729Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

26 of 26 outbound references displayed

  • verified exact6
  • verified fuzzy15
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 66916b1d-196a-4c91-96d4-32518e2f24c2 · outbound

This paper cites Decentralized task allocation in multi-robot systems via bipartite graph matching augmented with fuzzy clustering,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Decentralized task allocation in multi-robot systems via bipartite graph matching augmented with fuzzy clustering,

Reference 1

Resolution
verified exact
doi, observed 2026-08-06T23:01:14.122178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 6a51d879-a64d-4373-9fdb-322a702315b0 · outbound

This paper cites an unresolved cited work.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Unresolved cited work

Reference 2

Resolution
verified exact
doi, observed 2026-08-06T23:01:14.110306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 128e7e11-440c-4579-b81e-e42d2af3c99d · outbound

This paper cites Last mile delivery by drones: an estimation of viable market potential and access to citizens across european cities,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Last mile delivery by drones: an estimation of viable market potential and access to citizens across european cities,

Reference 3

Resolution
verified exact
doi, observed 2026-08-06T23:01:14.098511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e8f0a9f8-c413-48f9-a7ae-bd1a28e8c498 · outbound

This paper cites Poddar, S.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Poddar, S

Reference 4

Resolution
verified exact
doi, observed 2026-08-06T23:01:14.087162Z

Source-reported events for the cited work

correction dated 2024-09-20. Source: crossref record 10.2514/6.2024-4006.c1->10.2514/6.2024-4006:correction, observed 2026-07-11T03:05:20.819012+00:00. This notice travels one citation hop only.

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Observation 0b1ce55f-3618-4956-9deb-bf6c467612ae · outbound

This paper cites An effective collaboration evolutionary algorithm for multi-robot task allocation and scheduling in a smart farm,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning An effective collaboration evolutionary algorithm for multi-robot task allocation and scheduling in a smart farm,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:14.346053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a290e803-a801-4d73-a149-4dac1b16008a · outbound

This paper cites A multi-agent architecture for modelling and simulation of small military unit combat in asymmetric warfare,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning A multi-agent architecture for modelling and simulation of small military unit combat in asymmetric warfare,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:14.334043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:01:13.962165Z digest=sha256:fce6557a9e6e13149c2354e3a8ba93c1a7bb3641f45ca25de30d30028c90d5d7

Observation d89e0d37-513b-4a67-ae4f-09c0b5e66230 · outbound

This paper cites Learning scalable policies over graphs for multi-robot task allocation using capsule attention net- works,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Learning scalable policies over graphs for multi-robot task allocation using capsule attention net- works,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:14.322778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:01:13.967142Z digest=sha256:c2051c46838ccfe1f31dc91c4c5c2d98289971cb22de6e020feb8ef44ba3276d

Observation d57224cd-242a-452b-98fc-f28336a99b93 · outbound

This paper cites Efficient planning of multi-robot collective transport using graph reinforcement learning with higher order topological abstraction,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Efficient planning of multi-robot collective transport using graph reinforcement learning with higher order topological abstraction,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:14.312061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:01:13.970870Z digest=sha256:677dfb2637e01b69e9ba3fdd1cd63d9962d36a7f320bfd463ad47a8d09992304

Observation dcb2b538-7f9c-47e5-8ea1-53b58536a71a · outbound

This paper cites The cooperative orienteering problem with time windows,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning The cooperative orienteering problem with time windows,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:14.299798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4a6b93b1-0189-4ea5-b63f-7f8dbb9bffd0 · outbound

This paper cites A solution approach to the orienteering problem with time windows and synchronisation constraints,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning A solution approach to the orienteering problem with time windows and synchronisation constraints,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:14.285379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:01:13.977716Z digest=sha256:881bc17a9cfd00bd042fa1d4682835adb83e958f9e5746b66438fb5dc34460eb

Observation 8b23c1dc-9116-4f3e-9b8c-8c05cabda7e8 · outbound

This paper cites A formal analysis and taxonomy of task allocation in multi-robot systems,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning A formal analysis and taxonomy of task allocation in multi-robot systems,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:14.272965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:01:13.981479Z digest=sha256:ff03ae794ba61d59574744877b67a348934e5fdefcbb24dc54ed9a5a87fce189

Observation bfaffbdc-94ad-4ad0-bfba-ca377f03d349 · outbound

This paper cites Iterated local search for time- extended multi-robot task allocation with spatio-temporal and capacity constraints,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Iterated local search for time- extended multi-robot task allocation with spatio-temporal and capacity constraints,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:14.261305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:01:13.985170Z digest=sha256:3ad072bfb773903817e2ab56d4c41fcf6e91a7f2fa591e618c9a402548c2d31d

Observation d8e70fdf-3739-4610-81fe-70a639c471b5 · outbound

This paper cites A meta-heuristic approach for capacitated vehicle routing problem in fuel distribution,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning A meta-heuristic approach for capacitated vehicle routing problem in fuel distribution,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:14.239061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:01:13.991905Z digest=sha256:3945ff7a7b7dcf6c0e89fbf1152023bb4303b98767b1e76b6587bacb6cd2ec60

Observation deacbc68-c82c-4d5e-8a25-77f5ffb88647 · outbound

This paper cites An augmented large neighborhood search method for solving the team orienteering problem,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning An augmented large neighborhood search method for solving the team orienteering problem,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:14.225182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:01:13.995421Z digest=sha256:bdd0b5762dea78663c90fe7141b19d34c2ba47cef9443a706949bf2f64003659

Observation 25619fd8-aac9-4b28-92fe-b674802b0065 · outbound

This paper cites A novel nonlinear spin wave theory for the spin 1/2 antiferromagnetic Heisenberg model on a triangular lattice.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning A novel nonlinear spin wave theory for the spin 1/2 antiferromagnetic Heisenberg model on a triangular lattice

Reference 15

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T23:01:14.157553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:01:13.998510Z digest=sha256:ae24997695bef9739526738fbfe07c2af52414646eee52439ccb5ea8bfe1094c

Observation 3da10ebc-ff12-4447-a18b-52ba66bd44ba · outbound

This paper cites Fast scheduling of robot teams performing tasks with temporospatial constraints,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Fast scheduling of robot teams performing tasks with temporospatial constraints,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:14.215147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3066076d-6e43-46d9-a6ef-2a419c2aacb1 · outbound

This paper cites Non-cooperative- game-based multi-agent collaborative planning method for distributed generations,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Non-cooperative- game-based multi-agent collaborative planning method for distributed generations,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:14.204223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:01:14.006188Z digest=sha256:fb6b934db9e4c70e44aacab498132204b18276a91499efc51a24b9b8535f1e4c

Observation 8cab10a7-1344-4f9e-a2a1-b70dedb4ab7c · outbound

This paper cites Diversifying agent’s behaviors in interactive decision models,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Diversifying agent’s behaviors in interactive decision models,

Reference 18

Resolution
verified exact
doi, observed 2026-08-06T23:01:14.076963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:01:14.010018Z digest=sha256:8695c47c147b4ad778583d9a9a6f7cbda4b9d013b64f822eec27773b0eace807

Observation 638920ed-5522-41f4-a548-20d668d6cc92 · outbound

This paper cites Learning to allocate time-bound and dynamic tasks to multiple robots using covariant attention neural networks,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Learning to allocate time-bound and dynamic tasks to multiple robots using covariant attention neural networks,

Reference 19

Resolution
verified exact
doi, observed 2026-08-06T23:01:14.064417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:01:14.013332Z digest=sha256:9a0306acc732f83058c57d6a95e7a9c6917302ec13490c4a183115d4a984576e

Observation 0c9633a8-299d-4788-a5b9-0bd259a35878 · outbound

This paper cites Toward soft heterogeneity in robotic swarms,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Toward soft heterogeneity in robotic swarms,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:14.192969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:01:14.016535Z digest=sha256:cefbff63f50f89e92c2aa0e13bf4108a9bd1af382008c7289cb6f70e8529fb68

Observation 9357d345-65be-4bb1-a418-33195d85279a · outbound

This paper cites Adaptive neuroevolution with genetic operator control and two-way complexity variation,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Adaptive neuroevolution with genetic operator control and two-way complexity variation,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:14.182162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:01:14.020155Z digest=sha256:8f4fe4db33bb0d0b40dd618b91bfb14896914d82c3550f2f611f07c1f7a5d5cc

Observation 8b9486d9-3950-48ec-9f7c-dd7715f7de10 · outbound

This paper cites Graph Capsule Convolutional Neural Networks.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Graph Capsule Convolutional Neural Networks

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T23:01:14.030192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:01:14.030192Z digest=sha256:473c9b0d876d5ade8f45d0e222d16c8fb24f2d4222c6d4aa9b4ceb5175cf9466

Observation 26614bd5-9d68-4a95-8ae2-b7ea53037688 · outbound

This paper cites Attention is all you need,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Attention is all you need,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T23:01:14.034258Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:01:14.034258Z digest=sha256:3c5fc1affd29f5761c2c6e75eb0ff886bcfb5cd8a224221a48090bff485d69a9

Observation 8a0b61e2-744f-4aa7-897c-4be23c6654ab · outbound

This paper cites Stable-baselines3: Reliable reinforcement learning implementations,.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Stable-baselines3: Reliable reinforcement learning implementations,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T23:01:14.037729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:01:14.037729Z digest=sha256:55a9d4fe304439b7928c1c4b3abd8af32ccb06903fbc85d8f0edb887b8454c6a

Observation 3ad2a09d-5d60-4529-b64c-a2a55fa92b46 · outbound

This paper cites Proximal Policy Optimization Algorithms.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Proximal Policy Optimization Algorithms

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-06T23:01:14.027016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:01:14.027016Z digest=sha256:1c90f5e5cb839a4f0097bb9e2467f79b30cea6b1ca9f44fe5e5f9135bbaa4049

Observation f120e7c3-1e25-42b5-b2fb-68e63fe70c2f · outbound

This paper cites Available: https://api.semanticscholar.org/CorpusID: 69802635.

Automated Generation of Diverse Courses of Actions for Multi-Agent Operations using Binary Optimization and Graph Learning Available: https://api.semanticscholar.org/CorpusID: 69802635

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T23:01:14.250377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T23:01:13.988516Z digest=sha256:5b4dd6a6ba10f3dbba2be41ce6a1c305ab2ff2288ddafb6bf2692e6caf51639a

Pith citing papers

No inbound Pith citation observations are available.