Paper Citation Record · LEDGER

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication

As of 14 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2412.10265.

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

pith.paper-citation-record.v1
2412.10265 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:13:29.711640Z

measured 26 of 26 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

26 of 26 outbound references displayed

verified exact3
verified fuzzy19
unresolved4
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6ea928f5-d2d9-49ca-9447-089aa5f0b929 · outbound

This paper cites Threat of adversarial attacks on deep learning in computer vision: A survey,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Threat of adversarial attacks on deep learning in computer vision: A survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.509349Z

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 674f1bfc-3d8b-4c7c-943c-44a3c170011c · outbound

This paper cites Beyond transmitting bits: Context, semantics, and task-oriented communications,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Beyond transmitting bits: Context, semantics, and task-oriented communications,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.422895Z

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 de0fcd9a-b9ae-4aa5-be9d-689f17b69d9c · outbound

This paper cites The information bottleneck method.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication The information bottleneck method

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T16:13:29.339650Z

Source-reported events for the cited work

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Observation 8ccf15aa-e424-4200-bf00-3cfa9ca5cec0 · outbound

This paper cites Deep Variational Information Bottleneck.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Deep Variational Information Bottleneck

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-11T16:13:29.376757Z

Source-reported events for the cited work

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Observation eb47ddd6-c2bc-4072-b806-7d3f94b02e0a · outbound

This paper cites Opening the Black Box of Deep Neural Networks via Information.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Opening the Black Box of Deep Neural Networks via Information

Reference 5

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Source-reported events for the cited work

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Observation e9a4d6ff-883b-43fb-bcfd-9d5d90658352 · outbound

This paper cites Task-oriented communication design at scale,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Task-oriented communication design at scale,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.415384Z

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 6c86b071-d3e0-47a4-bd11-5ca148d35e95 · outbound

This paper cites Task-oriented multi-user semantic communication with lightweight semantic encoder and fast training for resource-constrained terminal devices,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Task-oriented multi-user semantic communication with lightweight semantic encoder and fast training for resource-constrained terminal devices,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.408130Z

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 c45f3ee8-940e-4f7b-b15e-9c3ce14057f3 · outbound

This paper cites Frankensplit: Efficient neural feature compression with shallow variational bottleneck injection for mobile edge comput- ing,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Frankensplit: Efficient neural feature compression with shallow variational bottleneck injection for mobile edge comput- ing,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.401689Z

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 40dc6782-98b9-4c27-95fe-1ff644b083eb · outbound

This paper cites FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication FOOL: Addressing the Downlink Bottleneck in Satellite Computing with Neural Feature Compression

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-08-11T16:13:29.882179Z

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 cf92befc-83f8-4122-a3cb-387207ab25df · outbound

This paper cites Supervised compression for resource-constrained edge computing systems,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Supervised compression for resource-constrained edge computing systems,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.395079Z

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 df99d96f-ee1a-4e0c-ad30-e230bc8877f9 · outbound

This paper cites Split computing with scalable feature compression for visual analytics on the edge,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Split computing with scalable feature compression for visual analytics on the edge,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.387865Z

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 284da7da-2f4c-47b6-821f-a1d5779ba371 · outbound

This paper cites Condar: Context-aware distributed dynamic object detection on radar data,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Condar: Context-aware distributed dynamic object detection on radar data,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.272159Z

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 845c2228-bf31-40f4-a882-f6eae0d6af62 · outbound

This paper cites Intriguing properties of neural networks,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Intriguing properties of neural networks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.248294Z

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 6f533696-370e-4bc7-a087-aa6466201d13 · outbound

This paper cites Explaining and harnessing adversarial exam- ples,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Explaining and harnessing adversarial exam- ples,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.239964Z

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 d3b57522-d416-426c-be3c-bb5752982798 · outbound

This paper cites Towards evaluating the robustness of neural networks,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Towards evaluating the robustness of neural networks,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.233065Z

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 95136087-09cb-4d4d-aaf7-f37722e89718 · outbound

This paper cites EAD: Elastic-net attacks to deep neural networks via adversarial examples,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication EAD: Elastic-net attacks to deep neural networks via adversarial examples,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.226334Z

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 8968852e-7da8-4a3f-b547-f8a7b707c40e · outbound

This paper cites The limitations of deep learning in adversarial settings,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication The limitations of deep learning in adversarial settings,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.218287Z

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 46b261c8-da68-4fef-b611-c0b25d03004e · outbound

This paper cites Adversarial Images for Variational Autoencoders.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Adversarial Images for Variational Autoencoders

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-11T16:13:29.866376Z

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 0b9766ee-9355-4b0b-a6c9-445ad4d4d73d · outbound

This paper cites Coding theorems for a discrete source with a fidelity criterion,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Coding theorems for a discrete source with a fidelity criterion,

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.143605Z

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 2484c3b7-f1e2-45c2-a0a7-4712762bae5d · outbound

This paper cites End-to-end Learning of Compressible Features.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication End-to-end Learning of Compressible Features

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-11T16:13:29.823717Z

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 e52b3175-6fba-48f1-80f5-106e580d284f · outbound

This paper cites Lossy compression for lossless prediction,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Lossy compression for lossless prediction,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.116531Z

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 879844c6-81cf-4a88-948f-d3c0f1b608d8 · outbound

This paper cites Cut, distil and encode (CDE): Split cloud-edge deep inference,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Cut, distil and encode (CDE): Split cloud-edge deep inference,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.107768Z

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 5d5c756e-6738-49a2-ac7a-261c55909a67 · outbound

This paper cites Distilled split deep neural networks for edge- assisted real-time systems,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Distilled split deep neural networks for edge- assisted real-time systems,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.099338Z

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 c9fa15a3-68fb-4eb9-b647-86bfcc729bba · outbound

This paper cites Deep learning and the information bottleneck principle,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Deep learning and the information bottleneck principle,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:30.090186Z

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 e3021c4c-ac73-4802-a321-dd45aed80e56 · outbound

This paper cites Torchattacks: A PyTorch Repository for Adversarial Attacks.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Torchattacks: A PyTorch Repository for Adversarial Attacks

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-11T16:13:29.689026Z

Source-reported events for the cited work

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Observation 7bcf8bd9-7816-4adf-81e5-7f60bf1dd17d · outbound

This paper cites Adversarial.js,.

Adversarial Robustness of Bottleneck Injected Deep Neural Networks for Task-Oriented Communication Adversarial.js,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T16:13:29.996190Z

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.

Pith citing papers

No inbound Pith citation observations are available.