Paper Citation Record · LEDGER

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security

As of 20 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2506.06565.

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

pith.paper-citation-record.v1
2506.06565 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:57:57.174822Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

28 of 28 outbound references displayed

verified exact0
verified fuzzy7
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7c72b218-766e-4935-bee1-e8d3f6d29391 · outbound

This paper cites write newline.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:57.088662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6c12e32-0c68-48cf-9aa5-9620e00447a9 · outbound

This paper cites an unresolved cited work.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:57.492160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a1d4249a-985b-43d3-9cdb-5ea3ef8187aa · outbound

This paper cites E., and McGuinness, K.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security E., and McGuinness, K

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:57.482664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation fbba1232-d5fa-4730-b678-a7c644b39d02 · outbound

This paper cites Recent Advances in Adversarial Training for Adversarial Robustness.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Recent Advances in Adversarial Training for Adversarial Robustness

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:57.099070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47c1e669-0773-4f8d-8a43-a28ae2baf46b · outbound

This paper cites an unresolved cited work.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:57.474019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e59805e4-bd01-4d77-a753-04f9997481f7 · outbound

This paper cites an unresolved cited work.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:57.464062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 97b51564-948f-43ec-aec8-7c7f37bfbe12 · outbound

This paper cites an unresolved cited work.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:57.454556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6822bda1-ad2e-4e90-a75e-6e3939fabff6 · outbound

This paper cites an unresolved cited work.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:57.445255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0ed9e38f-78b1-4921-a9bf-fe8e0a4d99f0 · outbound

This paper cites and Stadler, R.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security and Stadler, R

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:57.436285Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9efed853-3e71-457e-b7ff-1f71f8c91822 · outbound

This paper cites an unresolved cited work.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:57.427419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a342627c-d7a2-493e-8bea-fdc0f382ce80 · outbound

This paper cites an unresolved cited work.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:57.417686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7b733368-a105-430c-89d0-a34f95bfaf66 · outbound

This paper cites and Wang, X.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security and Wang, X

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:57.407690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 62bcda84-f55b-4c87-95c8-02c2eab0e080 · outbound

This paper cites and Le-Khac, N.-A.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security and Le-Khac, N.-A

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:57.398575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3ecf2048-c50a-40dd-8536-1c53c3356774 · outbound

This paper cites an unresolved cited work.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:57.390120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 36c44397-a9c9-4e72-9fa0-07f2a822d494 · outbound

This paper cites an unresolved cited work.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:57.381100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7d6fce3a-986a-4824-86a8-a1845cee97e4 · outbound

This paper cites An Overview of Deep Semi-Supervised Learning.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security An Overview of Deep Semi-Supervised Learning

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:57.137779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b8a7d1e-d4d4-4cfa-bd3c-fa1fece97942 · outbound

This paper cites an unresolved cited work.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:57.372110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 80e06746-4f58-4f8a-bc03-189bf51ed69a · outbound

This paper cites S., Coull, S., Yu, Q., and Wright, M.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security S., Coull, S., Yu, Q., and Wright, M

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:57.144179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7778d4ce-edd6-47c8-8a59-fdabe22e3410 · outbound

This paper cites M., Shiravi, S., and Jalili, R.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security M., Shiravi, S., and Jalili, R

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:57.363123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 07fdd298-5ee5-414e-b470-4b04ed6f283c · outbound

This paper cites an unresolved cited work.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:57.150386Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d65a5cb5-7c51-4080-904c-c18c29b58879 · outbound

This paper cites an unresolved cited work.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:57.347990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 127175ef-e828-4faf-94bc-255d4c0e1bf6 · outbound

This paper cites H., Ghorbani, A.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security H., Ghorbani, A

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:57.337694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 915ba9e3-e397-43ee-b09e-821e28801564 · outbound

This paper cites an unresolved cited work.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:57.326444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9715a9c8-ffec-471d-9364-53f7c2c6716c · outbound

This paper cites A., Ibrahim, N.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security A., Ibrahim, N

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:57:57.316649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4d11de3e-175b-40fa-af81-4098515ae5de · outbound

This paper cites an unresolved cited work.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:57.305961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 835aae48-b3dd-435d-a8d7-c315953c5e66 · outbound

This paper cites an unresolved cited work.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:57.296139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 83211a71-da06-4498-8dda-dbcd5f1425f2 · outbound

This paper cites an unresolved cited work.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:57:57.286017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 42069d1e-d1a5-4da4-8f3e-cff1bd8a1856 · outbound

This paper cites Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges.

Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T05:57:57.174822Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.