Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T20:13:12.657700Z
Paper Citation Record · LEDGER
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain
As of 10 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2507.03515.
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 2026-08-10T06:31:04.303077+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
25 of 25 outbound references displayed
- verified exact0
- verified fuzzy22
- unresolved3
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 07591acc-7196-426e-889f-456d69a66831 · outbound
This paper cites OpenODD: Concept Paper.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain OpenODD: Concept Paper
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:16.914919Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 809e125c-1284-44a4-879d-456a520a4413 · outbound
This paper cites Automated valet parking.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Automated valet parking
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:16.891565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c46d7191-9561-49eb-8aa1-1eb5dd7d1b10 · outbound
This paper cites Quantitative projection coverage for testing ml- enabled autonomous systems.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Quantitative projection coverage for testing ml- enabled autonomous systems
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:16.867793Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 6fbc0743-b781-4000-b7d8-0e3ff06aa1c4 · outbound
This paper cites Operational design domain (odd) framework for driver-automation systems.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Operational design domain (odd) framework for driver-automation systems
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:16.845920Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a0e20dea-70ec-4189-b7b9-f22c42620e83 · outbound
This paper cites Avsc best practice for describing an operational design domain: Conceptual framework and lexicon.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Avsc best practice for describing an operational design domain: Conceptual framework and lexicon
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:16.641083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation cd535d4a-6763-4dcd-ad38-f2d7a1843a1b · outbound
This paper cites Dy- namic safety cases for through-life safety assurance.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Dy- namic safety cases for through-life safety assurance
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:16.309461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 58f91602-727f-4065-ba23-2883b5ad628e · outbound
This paper cites Simulation- based safety assurance for an avp system incorporating learning-enabled components, 2023.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Simulation- based safety assurance for an avp system incorporating learning-enabled components, 2023
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:16.036480Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 077f2f37-060c-4877-9583-94ecf36583d2 · outbound
This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Dropout as a bayesian approximation: Representing model uncertainty in deep learning
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:13:10.562905Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dfcbf64b-dc12-4ac2-8bed-7731b5e467b3 · outbound
This paper cites Towards an operational design domain that supports the safety argumentation of an automated driving system.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Towards an operational design domain that supports the safety argumentation of an automated driving system
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:15.688661Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e9ef0e35-8d4b-4f05-8cb7-6bb6727f8a09 · outbound
This paper cites A new approach to creating clear safety arguments.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain A new approach to creating clear safety arguments
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:15.452949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 56304377-c6bc-4482-9c6d-7b3dc9b415bd · outbound
This paper cites Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS).
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Guidance on the Assurance of Machine Learning in Autonomous Systems (AMLAS)
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:13:10.918108Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7596d11-184c-4da1-b75b-5023321eb950 · outbound
This paper cites ISO 26262: Road vehicles – Functional safety.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain ISO 26262: Road vehicles – Functional safety
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:15.190177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 25d4ebda-8810-4a53-9367-c3bacaffd26b · outbound
This paper cites ISO/PAS 21448: Road vehicles – Safety of the intended function- ality (SOTIF).
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain ISO/PAS 21448: Road vehicles – Safety of the intended function- ality (SOTIF)
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:14.906404Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation d6b1c054-4005-493b-b063-b813dcabd2f6 · outbound
This paper cites A two-level abstraction odd definition language: Part i.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain A two-level abstraction odd definition language: Part i
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:14.662068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 30688f48-c8c3-4364-aa2b-39e7c91fa16f · outbound
This paper cites Redefining safety for autonomous vehicles.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Redefining safety for autonomous vehicles
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:14.443185Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 3bdfed00-4c06-4c8c-990e-041f9b35c094 · outbound
This paper cites Identifying the oper- ational design domain for an automated driving system through assessed risk.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Identifying the oper- ational design domain for an automated driving system through assessed risk
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:14.317536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 7aa1b82d-9da7-48fa-b592-2638358527de · outbound
This paper cites New definition and spec- ification of operational design condition for autonomous railway system.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain New definition and spec- ification of operational design condition for autonomous railway system
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:14.154624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c56ff111-cd62-43c4-bfed-c3f3a5efcaf3 · outbound
This paper cites Sahara: a security- aware hazard and risk analysis method.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Sahara: a security- aware hazard and risk analysis method
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:13.889774Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 49050415-f7e5-443c-9567-b52860980ed9 · outbound
This paper cites Ability and skill graphs for system modeling, online monitoring, and decision support for vehicle guidance systems.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Ability and skill graphs for system modeling, online monitoring, and decision support for vehicle guidance systems
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:13.728798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 601afdf1-9a95-401b-a468-8406249e2d78 · outbound
This paper cites Operational design domains in automated vehicles: A review of state-of-the-art standards, chal- lenges, and proposed solution.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Operational design domains in automated vehicles: A review of state-of-the-art standards, chal- lenges, and proposed solution
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:13.584542Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 45c143b1-7aef-477f-9f0f-6bb2c996a18d · outbound
This paper cites Formal verification of bayesian network classifiers.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Formal verification of bayesian network classifiers
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:13.362524Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ab1e7f99-5834-419d-a62d-ec29cefbe816 · outbound
This paper cites Towards continuous assurance case creation for ads with the evidential tool bus.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Towards continuous assurance case creation for ads with the evidential tool bus
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:13.201458Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 10bc2be2-01c4-4dbe-ba03-77a5e0ea2be3 · outbound
This paper cites Acclimatizing the operational design domain for autonomous driving systems.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Acclimatizing the operational design domain for autonomous driving systems
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:13.069615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 98f3ea02-80a0-4d79-b54c-fb5bdab2bb18 · outbound
This paper cites A safety case pattern for systems with machine learning components.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain A safety case pattern for systems with machine learning components
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-06T20:13:12.890299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 78fb5bc5-f90a-4954-9c63-55e3de08e40b · outbound
This paper cites an unresolved cited work.
Enhancing Uncertainty Quantification for Runtime Safety Assurance Using Causal Risk Analysis and Operational Design Domain Unresolved cited work
Reference 2018
- Resolution
- unresolved
- raw_fallback, observed 2026-08-06T20:13:15.045898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Pith citing papers
No inbound Pith citation observations are available.