Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:11:10.306423Z
Paper Citation Record · LEDGER
Training RL Agents for Multi-Objective Network Defense Tasks
As of 20 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2505.22531.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-10T16:46:41.137112Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T08:11:03.670670Z
Reference resolution
48 of 48 outbound references displayed
- verified exact5
- verified fuzzy4
- unresolved37
- parse uncertain0
- malformed identifier1
- metadata mismatch1
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation eb188674-4574-4b46-b1a3-6461aac22207 · outbound
This paper cites CAGE Challenge 4.
Training RL Agents for Multi-Objective Network Defense Tasks CAGE Challenge 4
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:11:45.052112Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ca5c31f3-561e-4997-8d41-df30c13f1f91 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:44.861168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 37a41719-98d3-4b1b-a6b8-1679d79cf709 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 3
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:44.678408Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 4ad2e1db-8835-4a28-b508-3657389eb673 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 4
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-07T13:11:04.339262Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 155f4dc7-d75a-4fac-aba9-4cd2600e1f62 · outbound
This paper cites CybORG: An Autonomous Cyber Operations Research Gym.
Training RL Agents for Multi-Objective Network Defense Tasks CybORG: An Autonomous Cyber Operations Research Gym
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:04.521391Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa1e2baf-57da-4b3e-909c-9f2aff945549 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 6
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:44.461297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 64252b38-c280-4454-989c-4fca2130b636 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 7
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:44.269745Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 771b7a74-741a-4a5a-ac21-074081fa7eb0 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:04.994885Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aa794833-c096-4ec2-9e03-8c32e6192b47 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:05.214417Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 494b98b4-a508-411f-b667-f6a1bfff3909 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 10
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:44.068848Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 49a7c279-2148-411c-823d-f9dd5a0f4c45 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:43.897979Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 117f4fab-725a-4c8a-bdcb-e3180f183b49 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 12
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:43.709642Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9cdde18a-17d1-45b7-a35f-3c37e8c4b9e2 · outbound
This paper cites RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning.
Training RL Agents for Multi-Objective Network Defense Tasks RL$^2$: Fast Reinforcement Learning via Slow Reinforcement Learning
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:05.772958Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09a3fde1-7fad-4ab0-b7e3-1eb6ab2baf22 · outbound
This paper cites Diversity is All You Need: Learning Skills without a Reward Function.
Training RL Agents for Multi-Objective Network Defense Tasks Diversity is All You Need: Learning Skills without a Reward Function
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:05.862730Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd6b751e-120c-4f2d-ae4c-babc680ebf00 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 15
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-07T13:11:38.609064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation abf7c050-0b9e-4981-9dc8-fbacddea841b · outbound
This paper cites Online Meta-Learning.
Training RL Agents for Multi-Objective Network Defense Tasks Online Meta-Learning
Reference 16
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:11:10.749504Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a28c5d08-cc3b-46cb-b291-a362cc1a37a2 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 17
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:43.486516Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation e976ad2a-b1e6-4c85-a2de-745858616847 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:43.324085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5bff8c1e-b8ab-4322-b79c-72bea1bceec8 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:06.526276Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d8d1c3ab-33f8-4b08-9e0a-b535c9e76ef3 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:42.991505Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 1ce18123-f420-4e19-bbe7-322a6f1f215a · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 21
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:42.738280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 04dce863-f4e0-47d7-8e25-56732d291d4c · outbound
This paper cites NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios.
Training RL Agents for Multi-Objective Network Defense Tasks NASimEmu: Network Attack Simulator & Emulator for Training Agents Generalizing to Novel Scenarios
Reference 22
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:11:38.018967Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 484a4aa4-4444-4160-a4e6-41601d8089a9 · outbound
This paper cites MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale.
Training RL Agents for Multi-Objective Network Defense Tasks MT-Opt: Continuous Multi-Task Robotic Reinforcement Learning at Scale
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:06.996985Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1dbf68e6-e570-41c0-8e48-6d6a67025236 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:42.469596Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 35bcb4ea-d5d5-43f4-8602-906b6eb917b8 · outbound
This paper cites El Rami, Adrian Taylor, James Hailing Rao, and Thomas Kunz.
Training RL Agents for Multi-Objective Network Defense Tasks El Rami, Adrian Taylor, James Hailing Rao, and Thomas Kunz
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:11:42.200387Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5ef62981-2248-4a30-9c4c-6a93baa40d18 · outbound
This paper cites CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems.
Training RL Agents for Multi-Objective Network Defense Tasks CyGIL: A Cyber Gym for Training Autonomous Agents over Emulated Network Systems
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:07.538210Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ee5bd42-6aac-4fa3-80da-48f530dfcd76 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 27
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:41.864142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d5fdd51a-e0f5-4787-8a9e-26ea35d9444e · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 28
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:41.378575Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c5d6bee2-a70f-49cb-9312-6b18b8366101 · outbound
This paper cites Network Defense is Not a Game.
Training RL Agents for Multi-Objective Network Defense Tasks Network Defense is Not a Game
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:08.154209Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7e03e324-70e8-4b77-b832-d0f585236e68 · outbound
This paper cites Training Automated Defense Strategies Using Graph-based Cyber Attack Simulations.
Training RL Agents for Multi-Objective Network Defense Tasks Training Automated Defense Strategies Using Graph-based Cyber Attack Simulations
Reference 30
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:11:37.800628Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cc5abc89-3466-45d5-b50b-952c470116e2 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:08.422493Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e431207-fb74-45bd-9a93-ec7968261ec7 · outbound
This paper cites 2019.Solving Rubik’s Cube with a Robot Hand.
Training RL Agents for Multi-Objective Network Defense Tasks 2019.Solving Rubik’s Cube with a Robot Hand
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:11:40.974658Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 16d4a313-1a4c-4771-b6ab-ce2bd6aa2e6a · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:40.733902Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2e728f4d-9e40-4557-b5be-fddf298058a7 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 34
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:40.475148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7f974e1c-aa56-4a94-9545-65687568ef72 · outbound
This paper cites Dynamics-Aware Unsupervised Discovery of Skills.
Training RL Agents for Multi-Objective Network Defense Tasks Dynamics-Aware Unsupervised Discovery of Skills
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:08.934687Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f97421df-1b36-4418-a323-fb91d0c8d382 · outbound
This paper cites Autonomous Reinforcement Learning via Subgoal Curricula.
Training RL Agents for Multi-Objective Network Defense Tasks Autonomous Reinforcement Learning via Subgoal Curricula
Reference 36
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:11:10.544736Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation af7941a2-14aa-4fc8-8614-d36c12ae5b72 · outbound
This paper cites CybORG: A Gym for the Development of Autonomous Cyber Agents.
Training RL Agents for Multi-Objective Network Defense Tasks CybORG: A Gym for the Development of Autonomous Cyber Agents
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:09.194790Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dc4a094f-599f-454c-ad50-9f94ec89a6ba · outbound
This paper cites Strom, Andy Applebaum, Douglas P.
Training RL Agents for Multi-Objective Network Defense Tasks Strom, Andy Applebaum, Douglas P
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T13:11:40.307517Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation ecce7483-3e88-4e56-9055-d27d2baf3c36 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 39
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:40.084765Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 80f8b3a8-92cf-4984-9c4b-2d6a1d60987d · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 40
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:39.829546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 93a1cf43-62f1-4b62-83de-b3db27f91309 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:39.639609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 7b864a18-ad4e-48be-ba6e-bc4e2fc06a75 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 42
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:39.424842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 30ba1cef-de89-459b-b860-9db539608c03 · outbound
This paper cites Open-Ended Learning Leads to Generally Capable Agents.
Training RL Agents for Multi-Objective Network Defense Tasks Open-Ended Learning Leads to Generally Capable Agents
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:09.774147Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b927cea4-65c0-4de6-96f9-029f5bac24ce · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:39.241652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c25c7df7-9357-45d6-84db-e4a11fc879fd · outbound
This paper cites Deep hierarchical reinforcement agents for automated penetration testing.
Training RL Agents for Multi-Objective Network Defense Tasks Deep hierarchical reinforcement agents for automated penetration testing
Reference 45
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:10.045952Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a18f1acf-a3cd-434b-acfc-cfdd5f5427ab · outbound
This paper cites Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems.
Training RL Agents for Multi-Objective Network Defense Tasks Diverse Auto-Curriculum is Critical for Successful Real-World Multiagent Learning Systems
Reference 46
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:11:11.132841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation f0913a24-84d4-4ea9-9009-f161da487d90 · outbound
This paper cites i d " : 1 ,.
Training RL Agents for Multi-Objective Network Defense Tasks i d " : 1 ,
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:11:10.306423Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c81d5407-6f68-40df-8529-a60ae9c467e9 · outbound
This paper cites an unresolved cited work.
Training RL Agents for Multi-Objective Network Defense Tasks Unresolved cited work
Reference 2021
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:11:41.593101Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
Observation 1274a74a-2935-47b1-b76b-13fc76a360ea · inbound
Building Better Environments for Autonomous Cyber Defence cites this paper.
Building Better Environments for Autonomous Cyber Defence Training RL Agents for Multi-Objective Network Defense Tasks
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:11:03.673188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.