Paper Citation Record · LEDGER

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation

As of 16 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:1908.05195.

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

pith.paper-citation-record.v1
1908.05195 v4

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:22:56.449031Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

30 of 30 outbound references displayed

verified exact0
verified fuzzy17
unresolved13
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 12b7391c-12da-4820-a983-f75da3a06d5b · outbound

This paper cites Arnab, O.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Arnab, O

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.867597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 63279bbe-1a28-4015-b5a1-9239474a2314 · outbound

This paper cites Carlini and D.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Carlini and D

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.854053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation bdd79444-90f0-41be-891c-604f01ffb478 · outbound

This paper cites an unresolved cited work.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-14T13:22:56.335049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c5fbb0e-9d7d-4ef8-a711-23b4d875fe87 · outbound

This paper cites an unresolved cited work.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:22:56.826712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 0e529449-0a43-4c36-9314-0fbc1d351f11 · outbound

This paper cites Cisse, P.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Cisse, P

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.814769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 1537cae9-6128-4f0a-8eb4-2d4a3283ac9b · outbound

This paper cites Elsayed, D.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Elsayed, D

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.802655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d28d7bc3-b028-4adc-806e-f3b9adb624fd · outbound

This paper cites Everingham, L.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Everingham, L

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.789324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 29b9b4e6-6f33-47a5-b748-75c508ea1852 · outbound

This paper cites Eykholt, I.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Eykholt, I

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.777228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cfc5bc23-c5fd-4fc5-a07e-fac7adb5cb50 · outbound

This paper cites Eykholt, I.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Eykholt, I

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.765368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation abfd2c4c-8145-45fd-8a85-038f1480a197 · outbound

This paper cites Adversarial Attacks Against Medical Deep Learning Systems.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Adversarial Attacks Against Medical Deep Learning Systems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T13:22:56.363578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f245247-1526-475c-a7ef-e8da9bf7c3ca · outbound

This paper cites Goodfellow, J.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Goodfellow, J

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.752183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation cbb52d46-fc10-4264-8897-941eaee7c77a · outbound

This paper cites Hariharan, P.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Hariharan, P

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.739479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3344f88e-9e50-4305-bf9b-fc53fc03dda1 · outbound

This paper cites Adversarial Machine Learning at Scale.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Adversarial Machine Learning at Scale

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T13:22:56.376169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92a4ff16-d453-45d8-bb54-2e39a2cb71e1 · outbound

This paper cites Kurakin, I.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Kurakin, I

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.726838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 963b0f8c-e9e1-4cb9-af8e-2ddcdbc093ac · outbound

This paper cites Meng and H.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Meng and H

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.714913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation d52a575c-bd3a-475a-a972-27f16b4ec7c5 · outbound

This paper cites an unresolved cited work.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:22:56.703020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9baa33c9-a2c8-44f4-932f-49cd17e46028 · outbound

This paper cites Moosavi-Dezfooli, A.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Moosavi-Dezfooli, A

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.691330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 5b8db197-5314-4b47-85c6-15599381f58f · outbound

This paper cites Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-14T13:22:56.397569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d560a1b0-5241-474d-a885-d4a002094eee · outbound

This paper cites Papernot, P.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Papernot, P

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.679946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 2e9dc236-4390-4381-908b-449c49793785 · outbound

This paper cites Papernot, P.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Papernot, P

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.663614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 45f91f9e-c493-4052-861f-c05a85a2a76f · outbound

This paper cites Papernot, P.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Papernot, P

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.643889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation c2a4809d-bcfe-4f23-9b13-eccc92d52662 · outbound

This paper cites Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-14T13:22:56.413865Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93f87d20-4ad9-43b0-a6e4-6186b4583e3a · outbound

This paper cites DARTS: Deceiving Autonomous Cars with Toxic Signs.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation DARTS: Deceiving Autonomous Cars with Toxic Signs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-14T13:22:56.418684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55523dd3-ef9e-46b5-baac-33c791800afa · outbound

This paper cites an unresolved cited work.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:22:56.629566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 32764155-4281-4052-b301-e97f2ba1d7cd · outbound

This paper cites Szegedy, W.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Szegedy, W

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.616372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8144d4c6-16f0-40dd-9279-10603fa5ba7d · outbound

This paper cites an unresolved cited work.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:22:56.603441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation e92b32fc-fa8a-4bbf-ab68-e4d469684795 · outbound

This paper cites Ensemble Adversarial Training: Attacks and Defenses.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Ensemble Adversarial Training: Attacks and Defenses

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-14T13:22:56.436261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e42e788-0f45-42ce-b586-07b65c7355d1 · outbound

This paper cites Vincent, H.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Vincent, H

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:22:56.590367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 8f0da519-63b7-4b3c-8d75-119f1c1c5f81 · outbound

This paper cites an unresolved cited work.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:22:56.578471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 9b3bb1d8-9bbc-4f92-81e7-55a6b5209957 · outbound

This paper cites an unresolved cited work.

DAPAS : Denoising Autoencoder to Prevent Adversarial attack in Semantic Segmentation Unresolved cited work

Reference 30

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:22:56.564302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Pith citing papers

No inbound Pith citation observations are available.