Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:33:42.336392Z
Paper Citation Record · LEDGER
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment
As of 20 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2505.21414.
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 2026-08-20T06:33:59.587034+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
14 of 14 outbound references displayed
- verified exact3
- verified fuzzy0
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 4b9745d8-4989-4440-bad2-2651be9f528a · outbound
This paper cites Towards Evaluating the Robustness of Neural Networks.
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment Towards Evaluating the Robustness of Neural Networks
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:33:41.403271Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eecb388f-1860-47b8-882c-57dda813747d · outbound
This paper cites Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents.
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:33:41.669772Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1120b463-225b-4942-965a-2a6283b476b5 · outbound
This paper cites Asynchronous Methods for Deep Reinforcement Learning.
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment Asynchronous Methods for Deep Reinforcement Learning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:33:41.814584Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efbcbe49-b2aa-4f38-a992-e8bb4227cad4 · outbound
This paper cites Network Defense is Not a Game.
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment Network Defense is Not a Game
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:33:41.853475Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce2edbaa-5f35-45f9-8e1e-649dd05b8711 · outbound
This paper cites Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm.
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:33:42.027095Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3032df4-87b1-4a03-9251-a6b1865cad99 · outbound
This paper cites an unresolved cited work.
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T13:33:43.543817Z
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 3e02d9a3-870f-405e-b78a-65b53b65ea04 · outbound
This paper cites Playing Atari with Deep Reinforcement Learning.
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment Playing Atari with Deep Reinforcement Learning
Reference 2013
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:33:41.740365Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 862b2d0c-2f6c-4121-a085-108c9aec32ba · outbound
This paper cites Explaining and Harnessing Adversarial Examples.
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment Explaining and Harnessing Adversarial Examples
Reference 2015
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:33:41.502260Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cebe852a-51fc-450e-8715-0a7ec2007e72 · outbound
This paper cites Deep Reinforcement Learning Discovers Internal Models.
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment Deep Reinforcement Learning Discovers Internal Models
Reference 2016
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:33:43.244854Z
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 71582916-1b07-49cd-8ece-96c16604d0e8 · outbound
This paper cites doi: 10.1007/978-3-319-62416-7.
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment doi: 10.1007/978-3-319-62416-7
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:33:41.316420Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcec4901-60f6-496e-803a-a8d13d3e7508 · outbound
This paper cites Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations.
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment Learning Complex Dexterous Manipulation with Deep Reinforcement Learning and Demonstrations
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:33:41.957572Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c85ed91c-08d0-468c-bea9-2269536f6c5c · outbound
This paper cites Deep Reinforcement Learning for Autonomous Driving: A Survey.
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment Deep Reinforcement Learning for Autonomous Driving: A Survey
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:33:41.612228Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5998b215-5f2c-4e25-b2c5-df1ea15619ea · outbound
This paper cites Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently.
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment Closer Look at the Transferability of Adversarial Examples: How They Fool Different Models Differently
Reference 2022
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:33:42.585023Z
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 d5dd55e8-06c1-4b11-90fb-f99bd07a494a · outbound
This paper cites Utilizing Explainability Techniques for Reinforcement Learning Model Assurance.
A Framework for Adversarial Analysis of Decision Support Systems Prior to Deployment Utilizing Explainability Techniques for Reinforcement Learning Model Assurance
Reference 2023
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T13:33:42.927934Z
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.
Pith citing papers
No inbound Pith citation observations are available.