Paper Citation Record · LEDGER

BadScan: An Architectural Backdoor Attack on Visual State Space Models

As of 17 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 2 inbound Pith citation observations for arXiv:2411.17283.

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

pith.paper-citation-record.v1
2411.17283 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T12:21:32.217267Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:17:59.667068Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T16:39:32.159737Z

Reference resolution

44 of 44 outbound references displayed

verified exact2
verified fuzzy26
unresolved16
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3c796dc-461e-4e74-b593-cdc3524a2e1c · outbound

This paper cites Baseline Pruning-Based Approach to Trojan Detection in Neural Networks.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Baseline Pruning-Based Approach to Trojan Detection in Neural Networks

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-12T12:21:32.394022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a5cc9160-f1a2-4fd4-b5b7-774211d630b1 · outbound

This paper cites Architectural backdoors in neural networks.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Architectural backdoors in neural networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.673927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 91b0ad78-6f31-49f5-b1c1-14d48a41f774 · outbound

This paper cites MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection.

BadScan: An Architectural Backdoor Attack on Visual State Space Models MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small Target Detection

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-12T12:21:32.081844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fb2cf28-4095-4bd3-beb2-df8c6e7db078 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

BadScan: An Architectural Backdoor Attack on Visual State Space Models An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-12T12:21:32.085645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4d385023-bb66-497d-b925-1553fb427601 · outbound

This paper cites Understand- ing robustness of visual state space models for image classification, 2024.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Understand- ing robustness of visual state space models for image classification, 2024

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.664051Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f53bc135-129f-488b-8ede-4a1e052cfde9 · outbound

This paper cites Backdooring convolutional neural networks via targeted weight per- turbations.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Backdooring convolutional neural networks via targeted weight per- turbations

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.654025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f583d7e2-cbff-419f-b139-fbf151d0fc40 · outbound

This paper cites Audio Mamba: Bidirectional State Space Model for Audio Representation Learning.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Audio Mamba: Bidirectional State Space Model for Audio Representation Learning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-12T12:21:32.096460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 38451c7c-80c5-4bb9-ae1e-59236949da19 · outbound

This paper cites Fiba: Frequency- injection based backdoor attack in medical image analysis.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Fiba: Frequency- injection based backdoor attack in medical image analysis

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.644702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 058bc3db-910e-4878-b459-1f1f77564640 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Explaining and Harnessing Adversarial Examples

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T12:21:32.102869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d968e8b3-700b-4544-9c98-a9a6e92a251c · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-12T12:21:32.106391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73412caa-10ec-4c0e-8901-b253a7ceb90b · outbound

This paper cites Badnets: Evaluating backdooring attacks on deep neural networks.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Badnets: Evaluating backdooring attacks on deep neural networks

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.634518Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8146129c-dbb2-46d2-baa9-8ef2bfa198aa · outbound

This paper cites Scale-up: An efficient black-box input-level backdoor detection via analyz- ing scaled prediction consistency.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Scale-up: An efficient black-box input-level backdoor detection via analyz- ing scaled prediction consistency

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.623931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation d157d646-879e-4edb-9b95-4221ef696c2d · outbound

This paper cites Deep residual learning for image recognition.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Deep residual learning for image recognition

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.614402Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c32d1fc0-5629-461d-aa2d-133a931e4c70 · outbound

This paper cites Image quality met- rics: Psnr vs.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Image quality met- rics: Psnr vs

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.604892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b2897909-1212-4bc3-b261-51b4898a666e · outbound

This paper cites Tuberculosis diagnosis using deep transferred efficientnet.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Tuberculosis diagnosis using deep transferred efficientnet

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.595603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5cd55cbf-e6d6-4391-ba2e-f3f4af055289 · outbound

This paper cites EPIC-SOUNDS: A Large-Scale Dataset of Actions that Sound.

BadScan: An Architectural Backdoor Attack on Visual State Space Models EPIC-SOUNDS: A Large-Scale Dataset of Actions that Sound

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.586302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b37f2b2b-359c-4a9f-a383-2d1e4f01a02e · outbound

This paper cites A new approach to linear fil- tering and prediction problems.

BadScan: An Architectural Backdoor Attack on Visual State Space Models A new approach to linear fil- tering and prediction problems

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.574531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 088746d0-ca20-47f1-8f77-d43ea16302ea · outbound

This paper cites The cifar-10 dataset.

BadScan: An Architectural Backdoor Attack on Visual State Space Models The cifar-10 dataset

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.565054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 078c1611-2dcc-4749-b1a9-b14fd95134df · outbound

This paper cites Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-12T12:21:32.134600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 258a929d-5f36-45bb-8948-b3fa79a61f61 · outbound

This paper cites Fine-pruning: Defending against backdooring attacks on deep neural networks.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Fine-pruning: Defending against backdooring attacks on deep neural networks

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.555354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ada0fb26-39b1-433a-bd72-4c1a15351840 · outbound

This paper cites Reflection backdoor: A natural backdoor attack on deep neural networks.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Reflection backdoor: A natural backdoor attack on deep neural networks

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.545563Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b28017d8-085c-475d-99e7-78b939605eb3 · outbound

This paper cites U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation.

BadScan: An Architectural Backdoor Attack on Visual State Space Models U-Mamba: Enhancing Long-range Dependency for Biomedical Image Segmentation

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-12T12:21:32.147610Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04c9d3d3-d944-4c6a-87fc-83880ec6af9e · outbound

This paper cites WaNet -- Imperceptible Warping-based Backdoor Attack.

BadScan: An Architectural Backdoor Attack on Visual State Space Models WaNet -- Imperceptible Warping-based Backdoor Attack

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-12T12:21:32.150745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af0b597e-cd4e-479b-80d5-bf05042bef0d · outbound

This paper cites EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba.

BadScan: An Architectural Backdoor Attack on Visual State Space Models EfficientVMamba: Atrous Selective Scan for Light Weight Visual Mamba

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-12T12:21:32.154108Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 987a415e-6dad-4a43-9a88-b6c1bc1b50c7 · outbound

This paper cites Con- former: Local features coupling global representa- tions for visual recognition.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Con- former: Local features coupling global representa- tions for visual recognition

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.526033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 36157eec-2648-4f90-b5fd-671fefbe1ca9 · outbound

This paper cites Tbt: Targeted neural network attack with bit trojan.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Tbt: Targeted neural network attack with bit trojan

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.514849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9a7332d2-dded-4321-ac24-499de0af40a9 · outbound

This paper cites Berg, and Li Fei-Fei.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Berg, and Li Fei-Fei

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.504854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation aa4d1b7a-d661-4e3b-911f-cad5b18ac114 · outbound

This paper cites A closer look at robustness of vi- sion transformers to backdoor attacks.

BadScan: An Architectural Backdoor Attack on Visual State Space Models A closer look at robustness of vi- sion transformers to backdoor attacks

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.494792Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3a44698a-4006-4b76-a2f4-41d06834e262 · outbound

This paper cites Rethinking the in- ception architecture for computer vision.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Rethinking the in- ception architecture for computer vision

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.484386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation c07831f1-b6d9-4e11-8904-c0ee96be0040 · outbound

This paper cites Resformer: Scaling vits with multi- resolution training.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Resformer: Scaling vits with multi- resolution training

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.473901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b914ad27-0784-48d5-b820-76f2017c1cd7 · outbound

This paper cites Mlp-mixer: An all-mlp architecture for vision.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Mlp-mixer: An all-mlp architecture for vision

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-12T12:21:32.176177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4813edbe-0bfa-4f07-94fb-2aa270161b93 · outbound

This paper cites An Empirical Study of Mamba-based Language Models.

BadScan: An Architectural Backdoor Attack on Visual State Space Models An Empirical Study of Mamba-based Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-12T12:21:32.179468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6702f139-fb8e-4a1b-bcf0-6c747d9df4c5 · outbound

This paper cites an unresolved cited work.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-12T12:21:32.456476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0b894eec-4851-4500-960c-ba3c316210c5 · outbound

This paper cites An invisible black-box backdoor attack through frequency domain.

BadScan: An Architectural Backdoor Attack on Visual State Space Models An invisible black-box backdoor attack through frequency domain

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.446297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7b7518e0-d6af-4cdd-9cc3-a294e17914cc · outbound

This paper cites Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Eliminating Backdoor Triggers for Deep Neural Networks Using Attention Relation Graph Distillation

Reference 35

Resolution: verified exact; local_arxiv, observed 2026-08-12T12:21:32.287755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e831357c-a70c-4f40-95b8-39f5c7ae3a89 · outbound

This paper cites Visual Mamba: A Survey and New Outlooks.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Visual Mamba: A Survey and New Outlooks

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-12T12:21:32.193333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db6ac8d5-9821-434a-be27-e0f70b906d5e · outbound

This paper cites MedMamba: Vision Mamba for Medical Image Classification.

BadScan: An Architectural Backdoor Attack on Visual State Space Models MedMamba: Vision Mamba for Medical Image Classification

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-12T12:21:32.196954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6a3f741e-d3e2-4c4d-920e-6dd682c08841 · outbound

This paper cites Learned lossless image compression based on bit plane slicing.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Learned lossless image compression based on bit plane slicing

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.436135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 28cf4c00-8a04-449c-9cac-c7d7d3eb02cd · outbound

This paper cites Natural backdoor attacks on deep neu- ral networks via raindrops.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Natural backdoor attacks on deep neu- ral networks via raindrops

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.426738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6a3e0298-72e4-46a2-b406-5ce063db903a · outbound

This paper cites RS-Mamba for Large Remote Sensing Image Dense Prediction.

BadScan: An Architectural Backdoor Attack on Visual State Space Models RS-Mamba for Large Remote Sensing Image Dense Prediction

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-12T12:21:32.206731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5f4be60-e706-49c0-8148-b0f3713998b2 · outbound

This paper cites Backdoor embedding in convolutional neural network models via invisible perturbation.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Backdoor embedding in convolutional neural network models via invisible perturbation

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.415897Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 81af6539-66a0-4691-be36-af0569e882bf · outbound

This paper cites Evolutionary trigger detection and lightweight model repair based backdoor defense.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Evolutionary trigger detection and lightweight model repair based backdoor defense

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.404973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9ec02ad0-5aff-48d3-93e1-0b3bc2e50200 · outbound

This paper cites Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model.

BadScan: An Architectural Backdoor Attack on Visual State Space Models Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-12T12:21:32.217267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0307fab2-0d7d-4c98-acba-939a02eec6a7 · outbound

This paper cites 2, 3, 5, 6.

BadScan: An Architectural Backdoor Attack on Visual State Space Models 2, 3, 5, 6

Reference 199

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T12:21:32.535980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation aedc9c33-fed1-44bd-8283-0209d13351ab · inbound

BadViM: Backdoor Attack against Vision Mamba cites this paper.

BadViM: Backdoor Attack against Vision Mamba BadScan: An Architectural Backdoor Attack on Visual State Space Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:59.667068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7850a8d7-153e-4118-ad25-9d248a8e3a4f · inbound

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense cites this paper.

Architectural Backdoors in Deep Learning: A Survey of Vulnerabilities, Detection, and Defense BadScan: An Architectural Backdoor Attack on Visual State Space Models

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-06T16:39:32.289573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.