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Paper Citation Record · LEDGER

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems

As of 11 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 1 inbound Pith citation observation for arXiv:2501.01593.

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

pith.paper-citation-record.v1
2501.01593 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:30:14.295788Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-08T10:45:47.028500Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T19:56:07.081580Z

Reference resolution

43 of 43 outbound references displayed

  • verified exact0
  • verified fuzzy34
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ef6c2027-dcd6-49c0-a3e1-e1d608eb45da · outbound

This paper cites Optimized computation offloading performance in virtual edge computing systems via deep reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Optimized computation offloading performance in virtual edge computing systems via deep reinforcement learning,

Reference 1

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raw_fallback, observed 2026-08-10T22:30:15.054092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.072625Z digest=sha256:c0e7e54c746132626c46fd40f2c4a7388bb9981fcb8529d2a8e2f318c30711ed

Observation 72d42fbe-c5ff-42d4-bc2f-f6dbb962266b · outbound

This paper cites Joint computation offloading and resource allocation for leo satellite networks using hierarchical multi-agent reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Joint computation offloading and resource allocation for leo satellite networks using hierarchical multi-agent reinforcement learning,

Reference 2

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raw_fallback, observed 2026-08-10T22:30:15.037887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.078592Z digest=sha256:3570821194ef9ba65232bc92809e72911822e78c0e45b7cbc26c0435a5d28185

Observation fd28253b-0881-47d6-92db-ebea0da8e5db · outbound

This paper cites The StarCraft Multi-Agent Challenge.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems The StarCraft Multi-Agent Challenge

Reference 3

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no resolver link, observed 2026-08-10T22:30:14.084864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:30:14.084864Z digest=sha256:5ecb84b50955beb6126ad0e8f6fd49e9a858917f2913f782d103c2ef94cb9058

Observation 850df36c-dce5-49b8-98c1-11da5f96e2e6 · outbound

This paper cites Efficient twin migration in vehicular metaverses: Multi- agent split deep reinforcement learning with spatio-temporal trajectory generation,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Efficient twin migration in vehicular metaverses: Multi- agent split deep reinforcement learning with spatio-temporal trajectory generation,

Reference 4

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raw_fallback, observed 2026-08-10T22:30:15.021339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.091662Z digest=sha256:cbff4ff017b616c0de3bce7e9ec4b70b15f16c6abbe2d7eb0edb473527b5e1ab

Observation b2c5853a-c3d6-417c-9cb1-75b678ef77bc · outbound

This paper cites A spatiotemporal backdoor attack against behavior-oriented decision makers in metaverse: From perspective of autonomous driving,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems A spatiotemporal backdoor attack against behavior-oriented decision makers in metaverse: From perspective of autonomous driving,

Reference 5

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raw_fallback, observed 2026-08-10T22:30:15.004166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.097078Z digest=sha256:c66fc4ff4938ab6042618efa143f1b2e98e70805e97ec6c887683a4ba57850f3

Observation 96255caa-2172-4569-9bfb-9f6ff14a45fa · outbound

This paper cites Design of intentional backdoors in sequential models.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Design of intentional backdoors in sequential models

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:30:14.102256Z digest=sha256:b6ec90b8c26e2d35d426bec6ea57b451b4a1078f84033834649cd65388f33648

Observation 803dacca-63ab-4025-8c18-617ae9c42796 · outbound

This paper cites Backdoorl: Backdoor attack against competitive reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Backdoorl: Backdoor attack against competitive reinforcement learning,

Reference 7

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raw_fallback, observed 2026-08-10T22:30:14.988375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.108019Z digest=sha256:8a95f55201bc6a231b22f468bfa2aaa53b39770d8a3097c1c79ec3084bd9d4c4

Observation 882e177c-637c-4247-97da-c399b55881a8 · outbound

This paper cites Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:30:14.112573Z digest=sha256:5ee0a2888bd762f59ad609224e789fdf587148a10cf375cdebf1aed63de930d4

Observation 3a1f2743-a5a3-4583-a401-da2d2241d881 · outbound

This paper cites Stop-and- go: Exploring backdoor attacks on deep reinforcement learning-based traffic congestion control systems,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Stop-and- go: Exploring backdoor attacks on deep reinforcement learning-based traffic congestion control systems,

Reference 9

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raw_fallback, observed 2026-08-10T22:30:14.971818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.117814Z digest=sha256:6235d6052b77a96f1e5e28f76189bd2c94726c386e3e9b81c460b0b6fb8bad3d

Observation dae5a366-9f25-4439-8ae2-6117b277c41a · outbound

This paper cites BAFFLE: Hiding backdoors in offline reinforcement learning datasets,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems BAFFLE: Hiding backdoors in offline reinforcement learning datasets,

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.122688Z digest=sha256:4e4d7f36f9946752a32690cf3cf54a1c263af2aeeea157a6a59edcc4a7ff2c53

Observation 1a1d460d-9235-4117-b6fb-11e4a14db6fd · outbound

This paper cites Pilot backdoor attack against deep reinforcement learning empowered intelligent reflection surface for smart radio,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Pilot backdoor attack against deep reinforcement learning empowered intelligent reflection surface for smart radio,

Reference 11

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raw_fallback, observed 2026-08-10T22:30:14.939335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.127588Z digest=sha256:6a6347e47b767b0c115cdc3139d8c66c7c3cd8db685545ab816fdc70b746e39c

Observation 5a1570bb-ff6a-408d-8086-0306831b4fbb · outbound

This paper cites Backdoor attacks on multi-agent reinforcement learning-based spectrum management,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Backdoor attacks on multi-agent reinforcement learning-based spectrum management,

Reference 12

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raw_fallback, observed 2026-08-10T22:30:14.922724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.132661Z digest=sha256:1180b82c92f7dff9dfd7a68f17fa850de1345be7551edc7eea3ef27fddd42827

Observation 19e76cf7-e888-4e8f-911a-abe13a50ed73 · outbound

This paper cites Marnet: Backdoor attacks against cooperative multi-agent reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Marnet: Backdoor attacks against cooperative multi-agent reinforcement learning,

Reference 13

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raw_fallback, observed 2026-08-10T22:30:14.905534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.137815Z digest=sha256:5005b8ae0bedd2eef4df16839b67fdbed8a326699990a7848b6840443866aee2

Observation 587265e5-46fd-4530-9e3e-df15394c810f · outbound

This paper cites Backdoor Attacks on Multiagent Collaborative Systems.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Backdoor Attacks on Multiagent Collaborative Systems

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:30:14.142690Z digest=sha256:de0e578c8ee71d048da3402a3d56ff7533e1f10e99a430950ffd705a2332b9b3

Observation bf4e1906-1bd7-41fe-ab56-f3035f640ff2 · outbound

This paper cites One4all: Ma- nipulate one agent to poison the cooperative multi-agent reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems One4all: Ma- nipulate one agent to poison the cooperative multi-agent reinforcement learning,

Reference 15

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raw_fallback, observed 2026-08-10T22:30:14.888799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.148126Z digest=sha256:4f4a60936401a90c1891db121f71fd15dca7d1748684e42083244cc2b2244fec

Observation 278ad759-36dd-4c37-aae6-feeebd7fb92a · outbound

This paper cites Social influence as intrinsic motivation for multi-agent deep reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Social influence as intrinsic motivation for multi-agent deep reinforcement learning,

Reference 16

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raw_fallback, observed 2026-08-10T22:30:14.871868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.152932Z digest=sha256:133e4ad3be25b33d46b81c68158808cb711005987bbc4226b5794de56bf56904

Observation 0ec63a10-e2e2-4ed6-909b-35d33baaa8a5 · outbound

This paper cites Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Attacking Cooperative Multi-Agent Reinforcement Learning by Adversarial Minority Influence

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:30:14.157951Z digest=sha256:9b38ff43052c6ec18591230725dee60a02bffa51beac2307a2e5d14149fa8f36

Observation 10f73f3b-04ac-411d-baa4-12e71066ca91 · outbound

This paper cites Detecting backdoor attacks on deep neural networks by activation clustering,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Detecting backdoor attacks on deep neural networks by activation clustering,

Reference 18

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raw_fallback, observed 2026-08-10T22:30:14.854974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.163280Z digest=sha256:643f57f46fcd66e1b0846bebb5b4f60c09e8c62e2122a631ddc4dba777795747

Observation 2f976eee-b2c3-41b7-9d7f-04e97c1722c3 · outbound

This paper cites Spectral signatures in backdoor attacks,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Spectral signatures in backdoor attacks,

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.168387Z digest=sha256:f0c3898590ec44450a347c23f84d29a6f50d6675a0fd2ca016c5ef7e034e937f

Observation 734bdc48-182d-48cb-a078-5178112593f3 · outbound

This paper cites Value-decomposition networks for cooperative multi-agent learning based on team reward,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Value-decomposition networks for cooperative multi-agent learning based on team reward,

Reference 20

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raw_fallback, observed 2026-08-10T22:30:14.819176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.173847Z digest=sha256:2bb0a329ee422a0f9831b70edcfaecaebe10fb492b24379fbe565e509ada6f84

Observation cc4204c4-73c1-43e9-a307-6110bdd8db39 · outbound

This paper cites QMIX: monotonic value function factorisation for deep multi-agent reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems QMIX: monotonic value function factorisation for deep multi-agent reinforcement learning,

Reference 21

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raw_fallback, observed 2026-08-10T22:30:14.802058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.178894Z digest=sha256:bc77c47f31c76a445015b60265881cd2b50daf21c935e9cb7ba5f64caff1be17

Observation aefb24ba-169d-47e1-aaf2-7b57111f48f2 · outbound

This paper cites Counterfactual multi-agent policy gradients,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Counterfactual multi-agent policy gradients,

Reference 22

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raw_fallback, observed 2026-08-10T22:30:14.785042Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.183732Z digest=sha256:eb064ad5fe7a73e16fd025505293d5ed229934d9aab0a5a9fa4cf48b8fe04a40

Observation d4430a4b-6575-437e-8594-fe85f678ea90 · outbound

This paper cites The surprising effectiveness of PPO in cooperative multi-agent games,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems The surprising effectiveness of PPO in cooperative multi-agent games,

Reference 23

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raw_fallback, observed 2026-08-10T22:30:14.765445Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.188742Z digest=sha256:068fe357e183041501044d8fbd66d49c963183cb40aed2fcc1544453d5fa2830

Observation b0580f91-8ae3-4b66-8abd-45b0ff548bfc · outbound

This paper cites Deep recurrent q-learning for partially observable mdps,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Deep recurrent q-learning for partially observable mdps,

Reference 24

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raw_fallback, observed 2026-08-10T22:30:14.745270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.193715Z digest=sha256:a2d6b7e29ac22621ac48e2532ec325bb1f51898b9265121bd55dde80eb66957e

Observation a2f51ce6-fa32-41c0-a674-7bfc8581385b · outbound

This paper cites Privacy-preserving multi- agent deep reinforcement learning for effective resource auction in multi- 13 access edge computing,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Privacy-preserving multi- agent deep reinforcement learning for effective resource auction in multi- 13 access edge computing,

Reference 25

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raw_fallback, observed 2026-08-10T22:30:14.726685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.198462Z digest=sha256:d8d9d58b8a0a81f22d97d84dfee9ccb6c9bcf15a9332631124ed2fb98ed1e91c

Observation 1849209d-fd8f-453b-abce-9ceb154e4d92 · outbound

This paper cites A spatiotemporal stealthy backdoor attack against cooperative multi-agent deep reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems A spatiotemporal stealthy backdoor attack against cooperative multi-agent deep reinforcement learning,

Reference 26

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raw_fallback, observed 2026-08-10T22:30:14.709320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.203475Z digest=sha256:d2ef07e19ab198c6a33c69e85b7a18f56c465483816dada6307a813285b6412d

Observation cad4efb3-c854-438e-bd3b-1a1b0c0d28a0 · outbound

This paper cites Optimal and approxi- mate q-value functions for decentralized pomdps,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Optimal and approxi- mate q-value functions for decentralized pomdps,

Reference 27

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raw_fallback, observed 2026-08-10T22:30:14.691401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.208442Z digest=sha256:8be74d0c467151be1f34fc1a8c44cc26bb2d491e24574a2c1131178ed3802bf3

Observation 1cbf5cca-747f-4178-8ba6-f78fac91686e · outbound

This paper cites Multi-agent reinforcement learning as a rehearsal for decentralized planning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Multi-agent reinforcement learning as a rehearsal for decentralized planning,

Reference 28

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no resolver link, observed 2026-08-10T22:30:14.213760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:30:14.213760Z digest=sha256:aedd5d29c6357ade42fc195a341764f2b7cab4708d2f30d27e834871cb1c11af

Observation 270ca62a-edf2-47a1-800a-bef75d5d1d98 · outbound

This paper cites Proximal Policy Optimization Algorithms.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Proximal Policy Optimization Algorithms

Reference 29

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no resolver link, observed 2026-08-10T22:30:14.219272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:30:14.219272Z digest=sha256:a8a96dedeb0602fd26fb8328764add3923221982df8fae3362120ead6f2217b5

Observation 06ba7836-5d44-4e71-a315-32a174a881bb · outbound

This paper cites Deep multi-agent reinforcement learning for highway on- ramp merging in mixed traffic,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Deep multi-agent reinforcement learning for highway on- ramp merging in mixed traffic,

Reference 30

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raw_fallback, observed 2026-08-10T22:30:14.661021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.224255Z digest=sha256:b73239e1575cf10f49d5a5260493739b39ff440e4f0a735a7ea4da789cd3f7f2

Observation c736cd9a-d2cc-4945-8048-fa510d8b7330 · outbound

This paper cites Conser- vative and risk-aware offline multi-agent reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Conser- vative and risk-aware offline multi-agent reinforcement learning,

Reference 31

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raw_fallback, observed 2026-08-10T22:30:14.643023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.228993Z digest=sha256:1c581f4fc50448095e8f6e80908d24b1c579036e9c0736cc33df125e9566bc13

Observation fac3e4a8-79cc-47b5-8ea9-04f4996e41b6 · outbound

This paper cites Badrl: Sparse targeted backdoor attack against reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Badrl: Sparse targeted backdoor attack against reinforcement learning,

Reference 32

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raw_fallback, observed 2026-08-10T22:30:14.624147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.233742Z digest=sha256:8f045e4a9815d5cd9aef28b42ec5226cfd5ec2fc7ca851b475d1fe9decfe60fc

Observation d9b28792-73db-4b27-b6a3-65bb6e1f240f · outbound

This paper cites Cooperative multi- agent control using deep reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Cooperative multi- agent control using deep reinforcement learning,

Reference 33

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raw_fallback, observed 2026-08-10T22:30:14.606906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.238007Z digest=sha256:d0ff90576e4f075962a096aa5f2a679a101d4c62804512793e83970c4582ec65

Observation de189f3d-bdb7-41f2-aac1-d15db3e28aea · outbound

This paper cites Pettingzoo: Gym for multi-agent reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Pettingzoo: Gym for multi-agent reinforcement learning,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:30:14.588863Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.242255Z digest=sha256:1f9d239292481647c1fb05d812e773a1414447147bd4df524d6db004a2c55c65

Observation 299640df-bdfa-4892-bf3b-b5b13374b1aa · outbound

This paper cites BIRD: generalizable backdoor detection and removal for deep reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems BIRD: generalizable backdoor detection and removal for deep reinforcement learning,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:30:14.569823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.246643Z digest=sha256:822d6f5fe188cbf5589fbb368465635daac8ad015776fdb96591d9a6584ab608

Observation bce16ff6-ec16-4d4f-aa39-b68c6e75c195 · outbound

This paper cites Trojdrl: Evaluation of backdoor attacks on deep reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Trojdrl: Evaluation of backdoor attacks on deep reinforcement learning,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:30:14.550778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.251907Z digest=sha256:b24d7005543b626ccde5458dc6fb5d61d867cf9d04900d747330a9c3539fb261

Observation e73e0875-0fa1-41ba-9d12-ecbad4128987 · outbound

This paper cites A temporal-pattern backdoor attack to deep reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems A temporal-pattern backdoor attack to deep reinforcement learning,

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-10T22:30:14.256910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:30:14.256910Z digest=sha256:e27045832f1037248370936382e95f661373c9387b3e2e6a48cd486e7679ae06

Observation e791c8cf-8de1-4354-9ec3-e0ef7e44936c · outbound

This paper cites Backdoor learning: A survey,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Backdoor learning: A survey,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:30:14.518905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.267666Z digest=sha256:262b945702aafa2ecf28446cb265a3c490633ff1de8c36629e9247a5e20eac4e

Observation 56872a01-4d60-4af3-9fa6-5d61af564d86 · outbound

This paper cites Neural cleanse: Identifying and mitigating backdoor attacks in neural networks,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Neural cleanse: Identifying and mitigating backdoor attacks in neural networks,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T22:30:14.273906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:30:14.273906Z digest=sha256:93edb62d876adc2f366d35a0627b598f04c3d2ab4972b7fdcb6b990ddad5112b

Observation 7864205c-d71a-4dc4-af33-89038b388b42 · outbound

This paper cites Neuralsanitizer: Detecting backdoors in neural networks,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Neuralsanitizer: Detecting backdoors in neural networks,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:30:14.490471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.279029Z digest=sha256:0bd0793586de47250b323c83a6027b2760d90997b426930a43d798aae7df8289

Observation b8413a5e-bb9f-4bfc-a6b4-6f0059a18f17 · outbound

This paper cites Policycleanse: Backdoor detection and mitigation for competitive reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Policycleanse: Backdoor detection and mitigation for competitive reinforcement learning,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:30:14.472951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.284838Z digest=sha256:9368cd0be56f57874d6a5b4547adae215f01adbea8002e6a6a5810812edbd111

Observation 6b3056d1-189f-4e0f-b022-422d20fb3962 · outbound

This paper cites Mitigating deep reinforcement learning backdoors in the neural activation space,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Mitigating deep reinforcement learning backdoors in the neural activation space,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:30:14.456044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.290395Z digest=sha256:e389e88bf0f6033a7896a8cd2bc9ac70004b7254fe3a9e2274b78dea8a586d8b

Observation e477dfc4-4b5d-4cdd-b971-2ec5a5a79b18 · outbound

This paper cites Shine: Shielding backdoors in deep reinforcement learning,.

BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems Shine: Shielding backdoors in deep reinforcement learning,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:30:14.438564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T22:30:14.295788Z digest=sha256:d15237fc5c5381b58839ef880c7424145e646a22605632d28c3080e04034d287

Pith citing papers

Observation 0ee22e85-4aeb-4244-ae3c-63aa4d7638b3 · inbound

BehaviorGuard: Online Backdoor Defense for Deep Reinforcement Learning cites this paper.

BehaviorGuard: Online Backdoor Defense for Deep Reinforcement Learning BLAST: A Stealthy Backdoor Leverage Attack against Cooperative Multi-Agent Deep Reinforcement Learning based Systems

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:56:07.086636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-08T10:45:47.028500Z digest=sha256:83f156137aafbdaf70add60f7d9232e9f6879ebaa3968295bc89f44ab3dbc3aa