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Paper Citation Record · LEDGER

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models

As of 22 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2607.06630.

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

pith.paper-citation-record.v1
2607.06630 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-11T01:04:40.585341Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

28 of 28 outbound references displayed

  • verified exact2
  • verified fuzzy25
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9424a2f5-6ae0-4b5c-a464-95ab88dae584 · outbound

This paper cites Wolpaw, Niels Birbaumer, Dennis J.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Wolpaw, Niels Birbaumer, Dennis J

Reference 1

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verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.331232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation cf3ebcea-4e60-4dd5-ba4e-1992227e97dd · outbound

This paper cites Lebedev and Miguel A.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Lebedev and Miguel A

Reference 2

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verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.343885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:f93578915f970bf04d500097a2cb6d3f2a7de39b8d0938369f8c43315075a6e2

Observation 0cb40657-e33c-4103-bd38-e1360fe8a6e8 · outbound

This paper cites Hochberg, Daniel Bacher, Beata Jarosiewicz, Nicolas Y.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Hochberg, Daniel Bacher, Beata Jarosiewicz, Nicolas Y

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.311297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:46125b0877e2820b13d1769293d175aeac6963c76dbdc3a0ed4775d4b3792fe6

Observation 928cb825-67a2-470d-9f15-6c4de76f9e08 · outbound

This paper cites Lawhern, Amelia J.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Lawhern, Amelia J

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.534237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:d41846e7af10f6c5db9d5392bc09970d2a414fa1cc09b914ef63da6c22d607b6

Observation 5042a036-160c-43ab-8dd1-aceb88a8378f · outbound

This paper cites Deep learning with convolutional neural networks for EEG decoding and visualization.Human Brain Mapping, 38(11):5391–5420.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Deep learning with convolutional neural networks for EEG decoding and visualization.Human Brain Mapping, 38(11):5391–5420

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.377500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:950277600ade992dc6cc82cf536f11ef5b6b6663ae07b11204e0fd31be0db9af

Observation 9abbb013-f9aa-4da1-a532-13cb008d4e7f · outbound

This paper cites Security in brain-computer interfaces: State-of-the-art, opportunities, and future chal- lenges.ACM Computing Surveys, 54(1), 2021.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Security in brain-computer interfaces: State-of-the-art, opportunities, and future chal- lenges.ACM Computing Surveys, 54(1), 2021

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:47.875178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:a991e39f81cf848a0d8f6ecc8ef12ad7405b2d50c2ab2172e3527d907cad7d53

Observation 21f7f4b7-a14b-4227-8478-9de90c33f838 · outbound

This paper cites Towards new hu- man rights in the age of neuroscience and neurotechnol- ogy.Life Sciences, Society and Policy, 13(1):5, 2017.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Towards new hu- man rights in the age of neuroscience and neurotechnol- ogy.Life Sciences, Society and Policy, 13(1):5, 2017

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.140938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:eabae87c0f57cf09564bd99354e077fece72b60810d459f43023a36c233e67d5

Observation 650532c1-e56d-4f64-94e8-bc7592ec1fa3 · outbound

This paper cites Concrete problems in AI safety, 2016.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Concrete problems in AI safety, 2016

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.225661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:c3d0993b74ca608a0829463fb727510bbb8e32b90e5fb102c5009e560cdff0e2

Observation 1427f2ab-3898-4da6-9eb4-c4b054ab4b09 · outbound

This paper cites The alignment problem from a deep learning perspective.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models The alignment problem from a deep learning perspective

Reference 9

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verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.253952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:e35353eeca684c95145fcdb07c9721e2ccbcce016d24ce9726c2864ec91766df

Observation 33410721-a76d-48a1-82ec-5c4ef1f99093 · outbound

This paper cites Ortega, Tom Everitt, Andrew Lefrancq, Laurent Orseau, and Shane Legg.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Ortega, Tom Everitt, Andrew Lefrancq, Laurent Orseau, and Shane Legg

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.171044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:cec049b99b9ffd33265b7e57683c265ed373de51d73271154633d3fae61c6083

Observation bfdda707-724b-47e3-ba6d-c2c171444a70 · outbound

This paper cites AI alignment: A comprehensive survey, 2023.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models AI alignment: A comprehensive survey, 2023

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.470447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:03cef1359d9f6212909004c2fb832fa0212fd4466b48831f58116701a3aa7a61

Observation 5babe0cb-5bb7-41b4-917b-bccbe13e0c18 · outbound

This paper cites Universal adversarial perturbations for CNN classifiers in EEG-based BCIs, 2019.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Universal adversarial perturbations for CNN classifiers in EEG-based BCIs, 2019

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.410738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:bfea85ab8117cda90b76a90e40d2e9c0d7cd0f729815c1d46e41504cefed12e3

Observation d329d19c-d3da-4aee-89ab-cf98bf71d7e3 · outbound

This paper cites Adversarial artifact detection in EEG-based brain-computer interfaces, 2022.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Adversarial artifact detection in EEG-based brain-computer interfaces, 2022

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.159307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:1682db1f9b0f68c19014c0ab1758009039e7f5c7d5f49064ae6c0cbdad24beaf

Observation 8acfbca0-1b9a-49be-b5a9-c5a00daf8024 · outbound

This paper cites Unsolved problems in ML safety, 2021.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Unsolved problems in ML safety, 2021

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.188186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:814b9660e945dc64e11c9a3baf1d13e740208dd859f31b580377748a158c8584

Observation ff4fe3ca-c9d1-4ee8-ae10-84c25968bd53 · outbound

This paper cites Formal guarantees on the robustness of a classifier against adver- sarial manipulation, 2017.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Formal guarantees on the robustness of a classifier against adver- sarial manipulation, 2017

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.216977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:4d479631c6f7bc3b9a7b38e50ee0b511f86ada63a816ad9c20f236f5811862a0

Observation ad5bc8f6-b67b-4663-b568-aab38c237f85 · outbound

This paper cites Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-07-11T01:07:44.451763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:b487c73c29d5c69613f8a6b39a4de0e66aa298c9b4967f1d880f9963f4e77085

Observation 3adc831b-fd79-4bb3-af11-5a9f31796332 · outbound

This paper cites Pap- pas.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Pap- pas

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.501077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:b4990bfbbac48160300fe1c96a56aa5e3a1a1493ed5b8585d5d833d0b0df05ba

Observation 0cb605b4-3e1d-4471-9f40-8583fa69127c · outbound

This paper cites Parseval networks: Improving robustness to adversarial examples.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Parseval networks: Improving robustness to adversarial examples

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.008298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:740fb075ba755bd262f9b8aa9b46367365419a78155ee1b930d462a296bf44ca

Observation 9e0d393c-3251-43d7-8b7a-00b740dfcb34 · outbound

This paper cites an unresolved cited work.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Unresolved cited work

Reference 19

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unresolved
raw_fallback, observed 2026-07-11T01:07:48.438831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:a0d9a3eafe51220ee44108f706569015a3bc44e63ee2d6140a42b52d24004d25

Observation 8dc8df85-899d-4299-bb75-f7ec38ebaaed · outbound

This paper cites Risks from learned op- timization in advanced machine learning systems, 2019.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Risks from learned op- timization in advanced machine learning systems, 2019

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.382766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:e7f20be095c1f98cfa7627cce69b6fdecf8e0d23e39f58227b42fc89f3ca26ef

Observation 9fbd014a-5fe2-4d2d-b3a2-9853e8394d1f · outbound

This paper cites Filter bank common spatial pattern (FBCSP) in brain-computer interface.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Filter bank common spatial pattern (FBCSP) in brain-computer interface

Reference 21

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verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.273811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:774c9d7269a92a7d8c9dcff9d364f78ea6699f3c00be0256b2f30d87f5f163d3

Observation 4fee86b8-2925-447e-98b7-ce687e650f57 · outbound

This paper cites MOABB: Trust- worthy algorithm benchmarking for BCIs.Journal of Neural Engineering, 15(6):066011, 2018.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models MOABB: Trust- worthy algorithm benchmarking for BCIs.Journal of Neural Engineering, 15(6):066011, 2018

Reference 22

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verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.301415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:205250fe0eba4c6da8c885627ea30a6797b07df91c56c2e0891c602c6bcae8ac

Observation ab42aea3-6ec6-46ea-abe7-f6f247280f02 · outbound

This paper cites Corrigibility.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Corrigibility

Reference 23

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verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.245571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:c5ca38fcabfd3898fdaa72ca0639283c9a1333e3d8e7e4d3c53c12004d4278b8

Observation 12a8242e-ab0f-4789-8f2b-362b47c2e711 · outbound

This paper cites Hacking the brain: brain-computer interfacing technology and the ethics of neurosecurity.Ethics and Information Technology, 18(2):117–129, 2016.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Hacking the brain: brain-computer interfacing technology and the ethics of neurosecurity.Ethics and Information Technology, 18(2):117–129, 2016

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.405941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:b6e53fea638199f91269900fd5816949ad6950a45aa86fcf8877adb30796af29

Observation f30bf788-283a-432c-b1fd-3c4813c86e28 · outbound

This paper cites Regulating next-generation implantable brain- computer interfaces: Recommendations for ethical devel- opment and implementation, 2025.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Regulating next-generation implantable brain- computer interfaces: Recommendations for ethical devel- opment and implementation, 2025

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:48.356998Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:5a148f5be2a4dc365a3e088aa78ea25620b0690d0e72200f78aaeacefcb81869

Observation 169fcaee-1c7e-4f2f-8621-6329004cac62 · outbound

This paper cites Intriguing properties of neural networks, 2013.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Intriguing properties of neural networks, 2013

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:47.994736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:2d03ae75e70d909e4f3696fecc196648f21413f739bf49f567f3691e6f7dcdda

Observation 6b4e612c-314e-4f58-88b2-21c639f6003f · outbound

This paper cites Towards deep learning models resistant to adversarial attacks.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Towards deep learning models resistant to adversarial attacks

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-07-11T01:07:47.921113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:87266fb3dbdf45aba3393d5e84584ec1c865c89859b9442395c1a7145256a611

Observation 658dc18c-93c4-4c7c-a8f2-82dc5d6fa310 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

When Certificates Fail: A Unified Safety Framework for Embedded Neural Interface Models Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-07-11T01:07:44.413704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-11T01:04:40.585341Z digest=sha256:036ed93ad1c54095f3dd06586393717de90df2dec7cf8e543aa30ac4a8b59da6

Pith citing papers

No inbound Pith citation observations are available.