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Paper Citation Record · LEDGER

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks

As of 8 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 3 inbound Pith citation observations for arXiv:2506.01054.

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

pith.paper-citation-record.v1
2506.01054 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:00:46.733872Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T09:41:51.221476Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

  • verified exact4
  • verified fuzzy21
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 840b782d-7708-4e5b-9a65-94d9bb34e65c · outbound

This paper cites write newline.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T12:00:42.817143Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:00:42.817143Z digest=sha256:25b39612f909db29d1d02bdc881d47fcc9a65adc3b5923ca4552fcfa0ee8763d

Observation cbb25258-f365-43a7-a4cb-0f6608595c27 · outbound

This paper cites Introduction to neural network verification.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Introduction to neural network verification

Reference 2

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unresolved
no resolver link, observed 2026-08-07T12:00:42.939341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:00:42.939341Z digest=sha256:e0073f80693a390fa90e66fb6fce7926d347c547275f0d784608c2cd79ea548f

Observation c1f3cabb-65e9-400d-b04a-35101748f776 · outbound

This paper cites and Herzberger, J.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks and Herzberger, J

Reference 3

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:43.053648Z digest=sha256:7f7bddd1a1d7e640b776dc364725c25cba72f3d75198a9fd4357429d77835632

Observation 89974be4-67ac-4afc-84b7-3d5ea26f303b · outbound

This paper cites an unresolved cited work.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Unresolved cited work

Reference 4

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raw_fallback, observed 2026-08-07T12:00:47.797948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:43.215099Z digest=sha256:b061ddcf3928cb63d199ef7eb9ad04fb409db63935a24656d4d0e3f115b830f2

Observation 06e723f2-8cbb-4ab1-bc2e-f8954da3c839 · outbound

This paper cites C., Daggitt, M.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks C., Daggitt, M

Reference 5

Resolution
verified exact
doi, observed 2026-08-07T12:00:47.780726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:43.339108Z digest=sha256:70a5813aaa89d9bee066dd3343296abc45328a3eb30248f43613a5c2fb1f02eb

Observation bfe4526a-39c0-44e4-bc5a-811e1b59ef09 · outbound

This paper cites an unresolved cited work.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:00:43.494167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:00:43.494167Z digest=sha256:5d050258039f6fb8323bd43ec77f66886d4317c518fa7e7bfdb33d7d4af214d4

Observation 0d78fc0d-8a30-4a48-9277-b0881565238e · outbound

This paper cites Output range analysis for deep feedforward neural networks.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Output range analysis for deep feedforward neural networks

Reference 7

Resolution
verified exact
doi, observed 2026-08-07T12:00:47.037015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:43.618025Z digest=sha256:c8d3ad1550de513db9df103fe2c63daf9b3499d5f2072e387bc6dc3e10bb734c

Observation 1871c1a4-bad3-4408-a8a4-29dd96905437 · outbound

This paper cites Formal verification of piece-wise linear feed-forward neural networks.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Formal verification of piece-wise linear feed-forward neural networks

Reference 8

Resolution
verified exact
doi, observed 2026-08-07T12:00:47.025926Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:43.713627Z digest=sha256:9894d2fb5d3ca74dee6b06080ebb088eedd6de893595a87545766341df24074c

Observation 67eaa2fe-f0a4-44e6-a28b-6ef3477c2c70 · outbound

This paper cites N., Jovanovic, N., and Vechev, M.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks N., Jovanovic, N., and Vechev, M

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:43.785892Z digest=sha256:cf7f5ba1a4e131e50e9f35bff322ac787ad032d0d19b3456596f5fd5a167ebd5

Observation 63a7d9af-d04b-4fbe-9a55-9d7c5739b507 · outbound

This paper cites The zonotope abstract domain taylor1+.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks The zonotope abstract domain taylor1+

Reference 10

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:43.881952Z digest=sha256:5b33f55020aa081454cb03bdaf636bcf3ed45132247c24b29042203cfaf7c6ba

Observation 2549995c-24fe-4f47-a375-00a884e6b58e · outbound

This paper cites On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks On the Effectiveness of Interval Bound Propagation for Training Verifiably Robust Models

Reference 11

Resolution
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no resolver link, observed 2026-08-07T12:00:44.007259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:00:44.007259Z digest=sha256:650b39b88a877507f7a41a037fff6b648372da3aad33e4bdabe0338af241199c

Observation a0823970-c5d6-4b15-96c2-15560212e491 · outbound

This paper cites A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks A survey of safety and trustworthiness of deep neural networks: Verification, testing, adversarial attack and defence, and interpretability

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:00:44.075841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 41b56926-89ad-4d98-8b5d-7db1d926ccd3 · outbound

This paper cites and Rinard, M.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks and Rinard, M

Reference 13

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation fb80e53a-58b1-47f5-ac2d-351e93863711 · outbound

This paper cites and Wang, J.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks and Wang, J

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:44.293813Z digest=sha256:4c85951adb0a46a386a7e0c7db9641eedf70bdafdd6615af981af2f1509940b9

Observation 36229d61-84b6-41b5-bd35-1761ebd405b2 · outbound

This paper cites L., Julian, K., and Kochenderfer, M.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks L., Julian, K., and Kochenderfer, M

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ca98b070-c54a-4de4-b432-7561c7cc4ad5 · outbound

This paper cites J., and Bengio, S.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks J., and Bengio, S

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 1bbb77c3-2611-46a0-abb5-34fcf10cd2f0 · outbound

This paper cites Sok: Certified robustness for deep neural networks.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Sok: Certified robustness for deep neural networks

Reference 17

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f93e53e7-1771-42ca-bb8c-209f93f7eb29 · outbound

This paper cites A., Barrett, C.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks A., Barrett, C

Reference 18

Resolution
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no resolver link, observed 2026-08-07T12:00:44.615387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation c4114db3-3ef6-4cbd-93fb-446e41e03fba · outbound

This paper cites Sound mixed fixed-point quantization of neural networks.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Sound mixed fixed-point quantization of neural networks

Reference 19

Resolution
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no resolver link, observed 2026-08-07T12:00:44.690030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 68bfcb56-1d5e-4564-8e18-894731a27b31 · outbound

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

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Towards deep learning models resistant to adversarial attacks

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:44.810743Z digest=sha256:37e0765afa1a10b76cfacd84042da12f85505cfc83b57b4dda3e5cab886b7b85

Observation bea3ede0-523c-4dd4-a690-670c35e212b9 · outbound

This paper cites Relational abstract domains for the detection of floating-point run-time errors.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Relational abstract domains for the detection of floating-point run-time errors

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:44.873508Z digest=sha256:8f8e98e039b919706c0c326b8491b2f14091bb645f58e06add2929344d36a20e

Observation 3c8d7df1-0367-4e23-b226-feaa9a7fd565 · outbound

This paper cites Differentiable abstract interpretation for provably robust neural networks.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Differentiable abstract interpretation for provably robust neural networks

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 34afbd3a-3e96-43b7-a1fc-acec2e453947 · outbound

This paper cites D., Behl, H.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks D., Behl, H

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 2e3c0e7b-8ef3-4b33-b506-aaf2de7e2c11 · outbound

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No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Unresolved cited work

Reference 24

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 6ab2b81f-b578-4f42-b01e-a2dbda15c8f1 · outbound

This paper cites o gl, A., Hofer, N., and B \.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks o gl, A., Hofer, N., and B \

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 10df825c-9b29-43df-9cb2-b685244b8c3e · outbound

This paper cites R., Coletti, M., and Sedova, A.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks R., Coletti, M., and Sedova, A

Reference 26

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation aa780e96-fa14-47a2-a733-e180d01d36e8 · outbound

This paper cites Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Robustness of deep learning classification to adversarial input on GPUs: asynchronous parallel accumulation is a source of vulnerability

Reference 27

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0784e130-4422-450b-a5de-8546c059ca98 · outbound

This paper cites an unresolved cited work.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Unresolved cited work

Reference 28

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 912be65e-7cec-4519-a1fb-699f6808016a · outbound

This paper cites An abstract domain for certifying neural networks.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks An abstract domain for certifying neural networks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T12:00:45.583208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:00:45.583208Z digest=sha256:a01966de9fdf8cd1e62e5766ce8fe98e909f8eae090853307cbe97b1ebf531ba

Observation 7e8c86da-62ce-42fa-9f1e-5f8a33e7775c · outbound

This paper cites Boosting robustness certification of neural networks.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Boosting robustness certification of neural networks

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:00:47.569246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation ee778f79-19a4-4048-aa49-250bc5f1634d · outbound

This paper cites uller, C., Maurer, J., Hoffmann, A., Baader, M., Mirman, M., Gehr, T., Tsankov, P., Drachsler Cohen, D., P\.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks uller, C., Maurer, J., Hoffmann, A., Baader, M., Mirman, M., Gehr, T., Tsankov, P., Drachsler Cohen, D., P\

Reference 31

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:45.734424Z digest=sha256:5c09cd1c3b355c59b3bdb3a34e91857e4f2d65e8620da69bf7e38e6d329ee7df

Observation 21054a58-c4b3-45a6-91fd-4a3c11a72f9a · outbound

This paper cites Intriguing properties of neural networks.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Intriguing properties of neural networks

Reference 32

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no resolver link, observed 2026-08-07T12:00:45.794547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:00:45.794547Z digest=sha256:598b6dc8a2c1f7811611c4368e48ea42cc2a89aee259bc49f266506b7308bee3

Observation 89685e76-1773-4940-8419-fae7bc995964 · outbound

This paper cites Y., and Tedrake, R.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Y., and Tedrake, R

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 19365a3d-414c-4310-8a77-a773c8eab4c9 · outbound

This paper cites Effects of floating-point non-associativity on numerical computations on massively multithreaded systems.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Effects of floating-point non-associativity on numerical computations on massively multithreaded systems

Reference 34

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d5fcd98c-4c1f-4238-9a47-dec704547cea · outbound

This paper cites an unresolved cited work.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Unresolved cited work

Reference 35

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unresolved
raw_fallback, observed 2026-08-07T12:00:47.506236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:45.943205Z digest=sha256:c7d737939859b86d935c3fb1ebb2c8a9248504b7a79df22ae1b88e0f6e5e03ab

Observation d1cef670-493d-43a5-a6c9-f1c25724e3d3 · outbound

This paper cites and Kolter, Z.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks and Kolter, Z

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:00:47.492082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:46.009543Z digest=sha256:f385cc80eb5e04a6af3bbf2d203941c4e064f5f7f747ab090f78703cd109531c

Observation 958f67ed-9dbb-408e-b715-bbd94c5e93cd · outbound

This paper cites Automatic perturbation analysis for scalable certified robustness and beyond.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Automatic perturbation analysis for scalable certified robustness and beyond

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:00:47.478667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:46.176799Z digest=sha256:f75bf4bb6baf75571b23d016e362d2c70343391a9aeb772d04a784b326860db5

Observation c8b7b090-a0b5-4ea3-a9d1-8b9484499419 · outbound

This paper cites Fast and Complete : Enabling complete neural network verification with rapid and massively parallel incomplete verifiers.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Fast and Complete : Enabling complete neural network verification with rapid and massively parallel incomplete verifiers

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:00:47.465801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:46.279669Z digest=sha256:add4d4d53e9e86b1a34b55a12d0686b7de22ee1682d619a192f0e73afe041350

Observation b412a8a7-f16e-4d16-a6c9-9e8f856dc243 · outbound

This paper cites Efficient neural network robustness certification with general activation functions.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Efficient neural network robustness certification with general activation functions

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:00:47.452217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:46.443006Z digest=sha256:18271093a4c38ef4020017d7e3a5afcb99aafc90ecdd2359b662dd8b19b95a03

Observation d249868f-c543-4d0a-8ae1-dba35e2ebc62 · outbound

This paper cites an unresolved cited work.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-07T12:00:47.437038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:46.567154Z digest=sha256:168d698a0e5fa7215f6884d6c17d4fe4ca81a294c659ab5ed662f0b2e823af81

Observation e97f118a-9dc1-4cf3-a5d5-6a7b6f2ab6c5 · outbound

This paper cites Fooling a complete neural network verifier.

No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks Fooling a complete neural network verifier

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:00:47.422880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-07T12:00:46.733872Z digest=sha256:c6988719d18d8a892b27531fb08bdb46b0951e95bbaaf9a57d537a2ae5bdccb5

Pith citing papers

Observation f7bde2a3-4ada-4258-98a0-84924621886c · inbound

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks cites this paper.

TAO: Tolerance-Aware Optimistic Verification for Floating-Point Neural Networks No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-04T09:41:51.221476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:41:51.221476Z digest=sha256:a9a837cb62557900720bec56c97d39cfccdf85b7d995c630d69ee9642949121a

Observation a9516165-647b-4359-889a-4d2e34761cb9 · inbound

Lipschitz-Based Robustness Certification Under Floating-Point Execution cites this paper.

Lipschitz-Based Robustness Certification Under Floating-Point Execution No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks

Reference 42

Resolution
unresolved
no resolver link, observed 2026-07-15T14:07:56.936206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-15T14:07:56.936206Z digest=sha256:ceba02abb4af05c0657b512a90bf917ac833b04f4a5b4449ce775d3346864ff3

Observation e46537c2-79e8-46cc-bc0e-966c54b9096c · inbound

Lipschitz-Based Robustness Certification Under Floating-Point Execution cites this paper.

Lipschitz-Based Robustness Certification Under Floating-Point Execution No Soundness in the Real World: On the Challenges of the Verification of Deployed Neural Networks

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-02T18:47:59.452883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T18:47:59.452883Z digest=sha256:9edc962e1aab77f79ab0d7dc763d931a60fe23c712c37bedf60294e25b6b9e13