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Paper Citation Record · LEDGER

Deep Equivariant Multi-Agent Control Barrier Functions

As of 7 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 2026-08-07T06:34:17.273281+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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:48.983900Z digest=sha256:566c8515c8598e5aa61d2416e74fbb2f80f2f53ed7f137eb3b34167bb97e87a9

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:48.989305Z digest=sha256:7609c5c9260d9e7a9429659d7a7cee0062137143680c87bc5abf1a3c7d22e784

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:48.994100Z digest=sha256:0fd5d2b7cded7b4da3c9908f9a4bb583605e70c7920c024e32469155127aeefb

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=sha256:2a28b24b1162f0237563e37ebd66d6afea3e69e90912eb1df81452c0cec29989

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.003835Z digest=sha256:79e7d0c69833380fd2d35eb9d1b8dc68ba054f49ce17a79021830034f02c4488

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.008224Z digest=sha256:649843b790a830be3d8d4a67955a62faa4be29c739c60ff8c66ea7e5fd26a6c0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.013287Z digest=sha256:5990763a11b90f3f19bb796be73a52c836eed02d0bc2b7b9cecec4dc18023ef2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.017668Z digest=sha256:baea19faf25cf5bd3e6b24a370c5b0ab402f5801a7c86687e06684a5e5827fee

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.022058Z digest=sha256:919b0d3685131bb44dd3c55f03dd2ea7201a7f1b40a12e9741f3662b968920a3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.026495Z digest=sha256:62e2e4e978e40af0a296d907640cf35afbdacb1c79b308a620db0ce89827d7b1

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.031056Z digest=sha256:664af98089f2bf5ecdfff48fddd37e8a950d1a7db660aed2aeee1863cd66236c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.035642Z digest=sha256:8d4ba915c41442a01c7dd2cbd200500644f23acad513ed07bfcac599f388ab0f

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.040440Z digest=sha256:9ae97cac28228a033d61cd76387629745eb8f4b8fa96cc36c457fcb503615bc0

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.045047Z digest=sha256:9a52daf7783c862b2e7c216051ef9e55498fc9b41e6cecfd3dfb7ded9dff18eb

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
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.050463Z digest=sha256:7b09db0eabecab431abc6fc09d56e3464cf430a978eb1d0404de43f5529bd06e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.055488Z digest=sha256:7c5c9f9ff0287b13ae48c8eb9205fb96099e74b067f53240a18e3a66b56f14ec

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:36:49.350166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.060495Z digest=sha256:3113750d3a8b75fbba0baef44713b95aa7366551997f65538941ef2c2bc5ccf7

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
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.065046Z digest=sha256:21dd1099dc2034cc8ec241ab884194e1e9d3a979ad5786b693da19ca58ba6105

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.069612Z digest=sha256:e46bf91284b01f5548102fccc1ed47970726ac227e256bb86a722f4878d3ed79

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.073857Z digest=sha256:12ab7952531b6bb36f912980d33de46898223824c6ccabdc5716cad9952d85e5

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
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.080672Z digest=sha256:8c5a0c897c8566501b52a7274c8c444b98197d3bf3e4a945ac44ed3dd9532892

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.085329Z digest=sha256:9f1f8a1ff60f6ce9b4c785b8e5007027c7af7bb3fb4a75b165f1b7a970656206

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.089887Z digest=sha256:37db60987f4fc3c8a11b0757fdba7085b01a005d75a181d44165269c4c1223df

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.094214Z digest=sha256:23c9015465106743dd43c8ad81c049c90a9551703741199e2413dcf7349edb7c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.098841Z digest=sha256:84be4fb2e3dc640d9f012c95adea043dd6154f28f456735212c376600f34b4bc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.103243Z digest=sha256:67f7a79094256346cb338b17eed10f309bbe4832cf23deca1bd712ffa4456da2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.107746Z digest=sha256:e615be72f9c8b2d8708dbfc5f978ecbc22317ad5e13ea5e384f0f7a1756e9416

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T05:36:49.112222Z digest=sha256:d7aa1d422830d4f936fb255af4a5f1bd624f7f6dc0b5e8d2f0cbcb7f11df16c1

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:b8af9fef10dad5477a33cac81b100549bd6c01737a4521c4cbd409165ce2371a

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T10:20:05.143297Z digest=sha256:77560b4bd3089e1b36e129b38d6e28bbb87436b7f7aff49d99ea6567f4e7319b