Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:51:47.775296Z
Paper Citation Record · LEDGER
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines
As of 20 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2506.12032.
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
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
20 of 20 outbound references displayed
- verified exact1
- verified fuzzy13
- unresolved4
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 1402c006-eaad-43de-a1cf-ba34640d19b3 · outbound
This paper cites Precise, Sub-Nanosecond, and High-Voltage Switching of Complex Loads Enabled by Gallium Nitride Electronics.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Precise, Sub-Nanosecond, and High-Voltage Switching of Complex Loads Enabled by Gallium Nitride Electronics
Reference 1
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T14:51:48.237048Z
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 d97ee17a-e832-48e6-b73b-2fdc09888d18 · outbound
This paper cites Hersbach, B.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Hersbach, B
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:51:50.271766Z
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 ff1d8101-5a98-4d52-9643-fc36057d5654 · outbound
This paper cites Security-first ai: Foundations for robust and trustworthy systems, 2025.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Security-first ai: Foundations for robust and trustworthy systems, 2025
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:51:50.081381Z
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 61bd9b4e-e014-483d-b485-dd2b9f8ec665 · outbound
This paper cites Alignment, agency and autonomy in frontier ai: A systems engineering perspective, 2025.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Alignment, agency and autonomy in frontier ai: A systems engineering perspective, 2025
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:51:49.922593Z
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 8722817d-d921-4fc0-9db5-6356d1f0f84e · outbound
This paper cites Engineering risk-aware, security-by-design frameworks for assurance of large-scale au- tonomous ai models, 2025.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Engineering risk-aware, security-by-design frameworks for assurance of large-scale au- tonomous ai models, 2025
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:51:49.746049Z
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 26881732-a930-48e7-847c-33f780b961bf · outbound
This paper cites Cox, Matthew L.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Cox, Matthew L
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:51:49.595133Z
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 969e337f-cf0e-4baa-b7d8-51b29223d433 · outbound
This paper cites Digital watermarking using multiresolution wavelet decompo- sition.Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 5:2969–2972, 1998.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Digital watermarking using multiresolution wavelet decompo- sition.Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, 5:2969–2972, 1998
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:51:49.376094Z
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 38fab137-07ae-4ae2-ae38-366c75fc8ae1 · outbound
This paper cites Benjamin Erichson, and Michael W.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Benjamin Erichson, and Michael W
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:51:49.208558Z
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 7265730b-819d-4660-aff8-c358d6cc42b8 · outbound
This paper cites Karniadakis.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Karniadakis
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:51:46.755927Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1513fec-20e1-4dc6-a103-167e83297729 · outbound
This paper cites Brunton, Bernd R.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Brunton, Bernd R
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:51:49.025745Z
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 9776b2d4-fa63-44f1-b3d6-420085c5e32f · outbound
This paper cites SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines SuperBench: A Super-Resolution Benchmark Dataset for Scientific Machine Learning
Reference 11
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-07T14:51:48.091374Z
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 c23bbae2-2d43-4e27-b562-e36946891d6b · outbound
This paper cites Invisible image watermarks are provably removable using generative ai, 2023.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Invisible image watermarks are provably removable using generative ai, 2023
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:51:48.897330Z
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 81f72a24-83ef-43b9-9e7b-1d3e75a43e98 · outbound
This paper cites Supervised gan watermarking for intellectual property protection.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Supervised gan watermarking for intellectual property protection
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:51:48.785511Z
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 3e442b88-ceda-4452-ab9f-005b8ce3a478 · outbound
This paper cites Towards Conditional Generation of Minimal Action Potential Pathways for Molecular Dynamics.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Towards Conditional Generation of Minimal Action Potential Pathways for Molecular Dynamics
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T14:51:47.906953Z
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 fbd25464-9841-45a9-bb7c-1f6986a47ae1 · outbound
This paper cites Turaga, Ross Maciejewski, and Abhishek Singharoy.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Turaga, Ross Maciejewski, and Abhishek Singharoy
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:51:48.652699Z
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 7d6e3f5c-e2e3-4790-b9dc-a96157873a1b · outbound
This paper cites Transforming cyber defense: Harnessing agentic and frontier ai for proactive, ethical threat intelligence, 2025.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Transforming cyber defense: Harnessing agentic and frontier ai for proactive, ethical threat intelligence, 2025
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:51:47.402579Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d786b84-4249-451b-8ef6-a07905640f3f · outbound
This paper cites Cybersentinel: An emergent threat detection system for ai security, 2025.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Cybersentinel: An emergent threat detection system for ai security, 2025
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:51:47.533035Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 64577eb9-724f-4fbd-bde0-e92653b8eaa3 · outbound
This paper cites The cyber immune system: Harnessing adversarial forces for security resilience, 2025.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines The cyber immune system: Harnessing adversarial forces for security resilience, 2025
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:51:47.625759Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7f1bda3-d4c5-4a06-9d25-a4ba214e5254 · outbound
This paper cites Waves: Benchmarking the robustness of image watermarks.https://wavesbench.github.io/, 2023.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Waves: Benchmarking the robustness of image watermarks.https://wavesbench.github.io/, 2023
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:51:48.508739Z
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 80ab1413-9085-4e28-934d-ecf5df54b288 · outbound
This paper cites Hiding images within images.IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(7):1685–1697, 2019.
Embedding Trust at Scale: Physics-Aware Neural Watermarking for Secure and Verifiable Data Pipelines Hiding images within images.IEEE Transactions on Pattern Analysis and Machine Intelligence, 42(7):1685–1697, 2019
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T14:51:48.394920Z
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
No inbound Pith citation observations are available.