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Paper Citation Record · LEDGER

Deep Equivariant Multi-Agent Control Barrier Functions

As of 21 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2506.07755.

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

pith.paper-citation-record.v1
2506.07755 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:36:49.116890Z

measured 30 of 30 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T10:20:05.143297Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T10:20:05.215463Z

Reference resolution

29 of 29 outbound references displayed

  • verified exact0
  • verified fuzzy27
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0df470d9-1d1a-4c11-9a01-e05e7202a3e3 · outbound

This paper cites Collision avoidance ver- ification of multiagent systems with learned policies,.

Deep Equivariant Multi-Agent Control Barrier Functions Collision avoidance ver- ification of multiagent systems with learned policies,

Reference 1

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verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.593669Z

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.

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Observation a0cda459-be71-441c-897c-25a1c7877109 · outbound

This paper cites Multi-vehicle collision avoidance via hamilton-jacobi reachability and mixed integer program- ming,.

Deep Equivariant Multi-Agent Control Barrier Functions Multi-vehicle collision avoidance via hamilton-jacobi reachability and mixed integer program- ming,

Reference 2

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verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.577671Z

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=2026-08-07T05:36:48.989305Z digest=sha256:cee3cf0bbfe3167fbe8d0384584c77801d17813f5072bc0df2e24f7c41238a77

Observation 616132fc-f390-468c-99c7-7f2833153d52 · outbound

This paper cites Sampling-based path planning for uav collision avoidance,.

Deep Equivariant Multi-Agent Control Barrier Functions Sampling-based path planning for uav collision avoidance,

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.562238Z

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=2026-08-07T05:36:48.994100Z digest=sha256:a60f93f8f026a111b67c9bb33f063d91f7de3338d8f0f0bf01c11ec7af0ec314

Observation fb366521-0c39-457e-8bab-97966b85029c · outbound

This paper cites Chance-constrained collision avoidance for mavs in dynamic environments,.

Deep Equivariant Multi-Agent Control Barrier Functions Chance-constrained collision avoidance for mavs in dynamic environments,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:48.998559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:36:48.998559Z digest=sha256:c63f430d8ab91efa113400dec36742e033a14cf1fa54397e864297117e1e1eed

Observation cca1666f-005e-4baf-a14f-d457e529c518 · outbound

This paper cites Decentralized non- communicating multiagent collision avoidance with deep reinforce- ment learning,.

Deep Equivariant Multi-Agent Control Barrier Functions Decentralized non- communicating multiagent collision avoidance with deep reinforce- ment learning,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.536177Z

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=2026-08-07T05:36:49.003835Z digest=sha256:5dcf24fb710457dc462038858965fcf087fe40ff15e0e4a2538b130596d59f3c

Observation 57585edb-b795-43af-8cee-6ba968925cfe · outbound

This paper cites Scalable constrained policy optimization for safe multi-agent reinforcement learning,.

Deep Equivariant Multi-Agent Control Barrier Functions Scalable constrained policy optimization for safe multi-agent reinforcement learning,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.521501Z

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=2026-08-07T05:36:49.008224Z digest=sha256:6e29585548c600dfd2f40b7a2848d4d1d9665e1376c9dca2a77f2f3d1e253659

Observation d2574f6f-02e9-4a06-8de1-ed8e3840978e · outbound

This paper cites Control barrier function based quadratic programs for safety critical systems,.

Deep Equivariant Multi-Agent Control Barrier Functions Control barrier function based quadratic programs for safety critical systems,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.506787Z

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=2026-08-07T05:36:49.013287Z digest=sha256:39346950eace3c6262b08b9f06bd57885d325174a02871d1a02954ca719f1879

Observation 7345342d-8a68-4e79-a26a-35197de72699 · outbound

This paper cites Nonsmooth barrier func- tions with applications to multi-robot systems,.

Deep Equivariant Multi-Agent Control Barrier Functions Nonsmooth barrier func- tions with applications to multi-robot systems,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.491945Z

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=2026-08-07T05:36:49.017668Z digest=sha256:e9b786294129738897627aaf629cf2759f222854136230a694fda3bf278f4c50

Observation 350992a1-341d-4d11-a0dc-720aad0c3f70 · outbound

This paper cites Distributed implementation of control barrier functions for multi-agent systems,.

Deep Equivariant Multi-Agent Control Barrier Functions Distributed implementation of control barrier functions for multi-agent systems,

Reference 9

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verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.476866Z

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=2026-08-07T05:36:49.022058Z digest=sha256:33c6289a0f1f7e50fdf7fa5a506b22bbb32db491596c65e2f4becc7218c7c327

Observation 64f968c3-cb69-447c-99a4-4501b12c3812 · outbound

This paper cites Control barrier functions for multi-agent systems under conflicting local signal temporal logic tasks,.

Deep Equivariant Multi-Agent Control Barrier Functions Control barrier functions for multi-agent systems under conflicting local signal temporal logic tasks,

Reference 10

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verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.462000Z

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=2026-08-07T05:36:49.026495Z digest=sha256:925b10071dbcf2596d7f654575e6ddf273ebbd25f33447e7ddfc5696ccc227a0

Observation e07a782d-3232-467f-86af-c537fa5e2c9e · outbound

This paper cites Trust-based rate-tunable control barrier functions for non-cooperative multi-agent systems,.

Deep Equivariant Multi-Agent Control Barrier Functions Trust-based rate-tunable control barrier functions for non-cooperative multi-agent systems,

Reference 11

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raw_fallback, observed 2026-08-07T05:36:49.445683Z

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=2026-08-07T05:36:49.031056Z digest=sha256:162d7d9113778c633c7d0aaa29f6956344930ee6c318f872f8f5a2d627f2e583

Observation 0ab04a90-0431-4d93-b1c9-287643908317 · outbound

This paper cites Learning control barrier functions from expert demonstrations,.

Deep Equivariant Multi-Agent Control Barrier Functions Learning control barrier functions from expert demonstrations,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.430487Z

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=2026-08-07T05:36:49.035642Z digest=sha256:f4d781e1ebb83cc3661a6f8ad4b585198638a55796c122315320211c4e048287

Observation 25c5a88c-e4de-4ae4-a6e1-5655c48439dd · outbound

This paper cites Learning safe multi-agent control with decentralized neural barrier certificates,.

Deep Equivariant Multi-Agent Control Barrier Functions Learning safe multi-agent control with decentralized neural barrier certificates,

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.415433Z

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=2026-08-07T05:36:49.040440Z digest=sha256:e134bbde17007470e6947f088108c3606998079ade7621c5947eb0694b8779ed

Observation 17a28b3b-6d70-427a-b70a-9786a731dd3c · outbound

This paper cites Neural graph control barrier func- tions guided distributed collision-avoidance multi-agent control,.

Deep Equivariant Multi-Agent Control Barrier Functions Neural graph control barrier func- tions guided distributed collision-avoidance multi-agent control,

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.399409Z

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=2026-08-07T05:36:49.045047Z digest=sha256:096f0a6b718464212a017be655dc0fbd91c52c22d99a688ed42acc1fb3e6ae00

Observation 99f619b2-929f-4f3b-8e7b-29608f4aaaea · outbound

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

Deep Equivariant Multi-Agent Control Barrier Functions Gcbf+: A neural graph control barrier function framework for distributed safe multi-agent control,

Reference 15

Resolution
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raw_fallback, observed 2026-08-07T05:36:49.383005Z

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=2026-08-07T05:36:49.050463Z digest=sha256:41902f122f33f29378f6c891ee20dfb0c7b84bf37f13c6a61eb40aa5845d7c8e

Observation fb287846-42c2-48d6-be08-68012e9e13a8 · outbound

This paper cites Provably safe online multi-agent navigation in unknown environments,.

Deep Equivariant Multi-Agent Control Barrier Functions Provably safe online multi-agent navigation in unknown environments,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.366504Z

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=2026-08-07T05:36:49.055488Z digest=sha256:2418de800d3fc7d324c20591c43ca29ce9e498c1c22f1d47af3a0928c1b0b8ac

Observation dcffbbbf-ee22-449b-a0bc-89676190b430 · outbound

This paper cites Fast, expressive $\mathrm{SE}(n)$ equivariant networks through weight-sharing in position-orientation space,.

Deep Equivariant Multi-Agent Control Barrier Functions Fast, expressive $\mathrm{SE}(n)$ equivariant networks through weight-sharing in position-orientation space,

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-07T05:36:49.060495Z digest=sha256:3d02c54239937577991563ebc0b90f50b81e52278de4a23b23d1c38cc96a044a

Observation 6b27c54b-ba16-406f-96b4-92621f90e58e · outbound

This paper cites Multi- agent mdp homomorphic networks,.

Deep Equivariant Multi-Agent Control Barrier Functions Multi- agent mdp homomorphic networks,

Reference 18

Resolution
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raw_fallback, observed 2026-08-07T05:36:49.332851Z

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=2026-08-07T05:36:49.065046Z digest=sha256:be56c322ed75912a1861ca5dc18d5d5da1b1aad957fb01296c67131b80755cb3

Observation 0b75f2b8-c62a-4882-babb-8a8ef8a750f1 · outbound

This paper cites Boost- ing sample efficiency and generalization in multi-agent reinforcement learning via equivariance,.

Deep Equivariant Multi-Agent Control Barrier Functions Boost- ing sample efficiency and generalization in multi-agent reinforcement learning via equivariance,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.316190Z

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=2026-08-07T05:36:49.069612Z digest=sha256:a792a325b6785f1a9153b1e5b3bed6c8fa6924facc44aa3a25d8a7763364abeb

Observation f3218573-ace9-483e-92c0-1ddec24c4a0f · outbound

This paper cites E(n) equivariant graph neural networks,.

Deep Equivariant Multi-Agent Control Barrier Functions E(n) equivariant graph neural networks,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.300112Z

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=2026-08-07T05:36:49.073857Z digest=sha256:5d06837349ba2407e85a516ef20056fd745e0b3cfb7270b3306257d94a2d713b

Observation 4620182d-4b20-44be-9027-11a3f3c222bb · outbound

This paper cites Se(3)- transformers: 3d roto-translation equivariant attention networks,.

Deep Equivariant Multi-Agent Control Barrier Functions Se(3)- transformers: 3d roto-translation equivariant attention networks,

Reference 21

Resolution
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raw_fallback, observed 2026-08-07T05:36:49.284057Z

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=2026-08-07T05:36:49.080672Z digest=sha256:236ac18a2e159e6bddf5366f9ba78eeeb8cedb32acadeb26cb8ece5f6eb57b40

Observation 3a5b2c44-88e9-4999-843e-639b4014ad73 · outbound

This paper cites Scalable multi-agent reinforcement learning through intelligent information aggregation,.

Deep Equivariant Multi-Agent Control Barrier Functions Scalable multi-agent reinforcement learning through intelligent information aggregation,

Reference 22

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raw_fallback, observed 2026-08-07T05:36:49.268553Z

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=2026-08-07T05:36:49.085329Z digest=sha256:02c432a17b51014216b48fa3ebcde4eb5070eda726cfc9738963c3754f871d20

Observation a2ecad60-49af-4938-bae6-8e03bbd24cc3 · outbound

This paper cites Control barrier functions: Theory and applications,.

Deep Equivariant Multi-Agent Control Barrier Functions Control barrier functions: Theory and applications,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.251644Z

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=2026-08-07T05:36:49.089887Z digest=sha256:f18563a4705a6937d4d66729b2b9267e5151e99e18510881c2648bfbc7cbb5a7

Observation a4e0538a-ee76-436c-9950-ddfcec83513d · outbound

This paper cites Robustness of con- trol barrier functions for safety critical control,.

Deep Equivariant Multi-Agent Control Barrier Functions Robustness of con- trol barrier functions for safety critical control,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.234887Z

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=2026-08-07T05:36:49.094214Z digest=sha256:202bc38bd1d3a8a0063a0d4277a83ed45ad6c27c9754d1ff5935ed03077078cf

Observation 1b1850b7-fc90-46cf-b0c6-7d9cd1f64d58 · outbound

This paper cites Graph neural networks for multi-robot active information acquisition,.

Deep Equivariant Multi-Agent Control Barrier Functions Graph neural networks for multi-robot active information acquisition,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.218576Z

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=2026-08-07T05:36:49.098841Z digest=sha256:46b2801248296c03bb19efa3742a8b4c003386c6fdf7182ee8576db47c527e5f

Observation 282780d1-fda7-4a8e-9ff5-3a85241fde8c · outbound

This paper cites e(3)-equivariant actor-critic methods for cooperative multi-agent reinforcement learning,.

Deep Equivariant Multi-Agent Control Barrier Functions e(3)-equivariant actor-critic methods for cooperative multi-agent reinforcement learning,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.202944Z

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=2026-08-07T05:36:49.103243Z digest=sha256:eacea2e2f0dd7dcc0372954142c517b05c75deee42f43c993a97d21c9224c14b

Observation 6267ca78-f6b4-4674-a90c-faea9fde09b1 · outbound

This paper cites Be- yond canonicalization: How tensorial messages improve equivariant message passing,.

Deep Equivariant Multi-Agent Control Barrier Functions Be- yond canonicalization: How tensorial messages improve equivariant message passing,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.186401Z

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=2026-08-07T05:36:49.107746Z digest=sha256:6df34b5574e5fb8e8b1656116b21adfe6c41ff625a63804d78f453853312fa86

Observation f1ab5347-cdfb-474a-b883-d3370eb53680 · outbound

This paper cites Symmetries-enhanced multi-agent reinforcement learning,.

Deep Equivariant Multi-Agent Control Barrier Functions Symmetries-enhanced multi-agent reinforcement learning,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.169300Z

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=2026-08-07T05:36:49.112222Z digest=sha256:34859509f9588587bd9a59e2929ca112845f878fb539141fda1b3497030f24af

Observation 1608d284-7a49-4ecc-bafe-6b1bca1358d1 · outbound

This paper cites Safety barrier certificates for collisions-free multirobot systems,.

Deep Equivariant Multi-Agent Control Barrier Functions Safety barrier certificates for collisions-free multirobot systems,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T05:36:49.116890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:36:49.116890Z digest=sha256:f872bc997f82dcc2173673451a5f5cd9c5c0753a5ee2d4cf520e2bf24077e64c

Pith citing papers

Observation c81e70ea-e309-40e1-b1da-2e8fcae5fec6 · inbound

Leveraging Equivariances and Symmetries in the Control Barrier Function Synthesis cites this paper.

Leveraging Equivariances and Symmetries in the Control Barrier Function Synthesis Deep Equivariant Multi-Agent Control Barrier Functions

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-05T10:20:05.220546Z

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=2026-08-05T10:20:05.143297Z digest=sha256:3bab453e295f99ceb043755d273e08cb9e1438d006def0e348facea4820fa6bd