Paper Citation Record · LEDGER

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment

As of 15 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2606.00741.

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

pith.paper-citation-record.v1
2606.00741 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T18:57:24.395744Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

20 of 20 outbound references displayed

verified exact4
verified fuzzy0
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69a90c69-4bfe-4b48-aa32-f7ce7395739a · outbound

This paper cites Training with noise is equivalent to.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment Training with noise is equivalent to

Reference 1

Resolution: unresolved; no resolver link, observed 2026-06-28T18:57:24.395744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ec92fff-8287-4ddf-bb7a-ef3c82997f25 · outbound

This paper cites Nature Communications , volume=.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment Nature Communications , volume=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-06-28T18:57:24.395744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfc1bade-6cd2-49b3-a2d7-c7666437d893 · outbound

This paper cites Nature communications , volume=.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment Nature communications , volume=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-06-28T18:57:24.395744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af464f95-721c-42c1-a6de-0195553817cc · outbound

This paper cites 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE) , pages=.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment 2023 Design, Automation & Test in Europe Conference & Exhibition (DATE) , pages=

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-28T18:57:24.395744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation deeccd7e-9e41-49da-ac9f-fa6c0a1c49a1 · outbound

This paper cites IEEE Micro , volume=.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment IEEE Micro , volume=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-06-28T18:57:24.395744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55b8181b-d12c-4f11-a95d-d900f5cf4792 · outbound

This paper cites Sensitivity-Aware Finetuning for Accuracy Recovery on Deep Learning Hardware.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment Sensitivity-Aware Finetuning for Accuracy Recovery on Deep Learning Hardware

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:02:34.374554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f89be6bd-90c9-474c-bc9d-a38dfdf0ddb4 · outbound

This paper cites ACM SIGARCH Computer Architecture News , volume=.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment ACM SIGARCH Computer Architecture News , volume=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-28T18:57:24.395744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2768527d-74b9-4110-82e8-1cb280f16080 · outbound

This paper cites IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems , volume=.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems , volume=

Reference 8

Resolution: unresolved; no resolver link, observed 2026-06-28T18:57:24.395744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d4430d9-4702-45ea-857c-3abbec4d0be8 · outbound

This paper cites 32nd USENIX Security Symposium (USENIX Security 23) , pages=.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment 32nd USENIX Security Symposium (USENIX Security 23) , pages=

Reference 9

Resolution: unresolved; no resolver link, observed 2026-06-28T18:57:24.395744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f6369916-592a-4770-b51b-da796cd229ee · outbound

This paper cites RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment RA-BNN: Constructing Robust & Accurate Binary Neural Network to Simultaneously Defend Adversarial Bit-Flip Attack and Improve Accuracy

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:02:34.379709Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d0879b20-1437-4121-a906-2f06cf87917c · outbound

This paper cites Proceedings of Machine Learning and Systems , volume=.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment Proceedings of Machine Learning and Systems , volume=

Reference 11

Resolution: unresolved; no resolver link, observed 2026-06-28T18:57:24.395744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae7de50f-345b-41c9-821c-384bb9d5608a · outbound

This paper cites Analog Bayesian neural networks are insensitive to the shape of the weight distribution.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment Analog Bayesian neural networks are insensitive to the shape of the weight distribution

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:02:34.371822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 21636c0b-fa49-48da-a07c-8b29acc56c1c · outbound

This paper cites Physical Review Research , volume=.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment Physical Review Research , volume=

Reference 13

Resolution: unresolved; no resolver link, observed 2026-06-28T18:57:24.395744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25fe5f91-9948-4f75-9891-af5bfca61f3d · outbound

This paper cites APL Machine Learning , volume=.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment APL Machine Learning , volume=

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-28T18:57:24.395744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 810e42fd-4229-4823-b093-bd6a568ffcf7 · outbound

This paper cites arXiv e-prints , pages=.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment arXiv e-prints , pages=

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-28T18:57:24.395744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 523aa844-1bab-402a-9552-2c2ff5eaf953 · outbound

This paper cites Harden Deep Neural Networks Against Fault Injections Through Weight Scaling.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment Harden Deep Neural Networks Against Fault Injections Through Weight Scaling

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-06-28T19:02:34.382751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 4dfe4666-8717-4710-9004-6e62fd381632 · outbound

This paper cites Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment Evaluating Prediction-Time Batch Normalization for Robustness under Covariate Shift

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T19:02:34.377276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 827cd517-edfb-4ca6-a47f-05842494bde6 · outbound

This paper cites Eine verallgemeinerung der quantenbedingungen f.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment Eine verallgemeinerung der quantenbedingungen f

Reference 18

Resolution: unresolved; no resolver link, observed 2026-06-28T18:57:24.395744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f149bc95-19b2-474e-8b90-9f203bf621b0 · outbound

This paper cites Zeitschrift f.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment Zeitschrift f

Reference 19

Resolution: unresolved; no resolver link, observed 2026-06-28T18:57:24.395744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0957cabd-b97e-4831-871c-77ddbd1f7b3b · outbound

This paper cites an unresolved cited work.

Quantum Tunneling-Aware Machine Learning: Physics-Derived Noise Models for Robust Deployment Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-06-28T18:57:24.395744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.