Paper Citation Record · LEDGER

BadViM: Backdoor Attack against Vision Mamba

As of 11 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2507.00577.

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

pith.paper-citation-record.v1
2507.00577 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:17:59.748983Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

20 of 20 outbound references displayed

verified exact1
verified fuzzy14
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9c9e4d43-28d5-4d1c-8c57-7318ea1ee9dc · outbound

This paper cites Vision Mamba: Efficient visual representation learning with bidirectional state space model,.

BadViM: Backdoor Attack against Vision Mamba Vision Mamba: Efficient visual representation learning with bidirectional state space model,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:02.578488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 79fe4bbe-26f9-4c20-a80c-eb84d845667a · outbound

This paper cites Vmamba: Visual state space model,.

BadViM: Backdoor Attack against Vision Mamba Vmamba: Visual state space model,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:02.506814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4af906d6-9ea5-43a1-8559-60d202e15dbd · outbound

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

BadViM: Backdoor Attack against Vision Mamba BadNets: Evaluating backdooring attacks on deep neural networks,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:58.165070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4546f43e-5c36-4083-87d4-ab04ea703b29 · outbound

This paper cites CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks.

BadViM: Backdoor Attack against Vision Mamba CUBA: Controlled Untargeted Backdoor Attack against Deep Neural Networks

Reference 4

Resolution: verified exact; local_arxiv, observed 2026-08-06T21:18:00.059264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4af6369b-fc5f-47b1-beac-7458ef49c2e7 · outbound

This paper cites You are catching my attention: Are vision transformers bad learners under backdoor attacks?.

BadViM: Backdoor Attack against Vision Mamba You are catching my attention: Are vision transformers bad learners under backdoor attacks?

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:02.435319Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ff87eacd-c9ec-4df6-8fcc-454d45f057e9 · outbound

This paper cites Backdoor Attacks on Vision Transformers.

BadViM: Backdoor Attack against Vision Mamba Backdoor Attacks on Vision Transformers

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:58.506263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7f5f533e-649e-4c20-9e55-0c7902d6a9d1 · outbound

This paper cites A closer look at robustness of vision transformers to backdoor attacks,.

BadViM: Backdoor Attack against Vision Mamba A closer look at robustness of vision transformers to backdoor attacks,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:02.344175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb0b30e6-3436-4bca-a40e-7338390ad333 · outbound

This paper cites Trojvit: Trojan insertion in vision transformers,.

BadViM: Backdoor Attack against Vision Mamba Trojvit: Trojan insertion in vision transformers,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:02.184502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 65e053ec-12ff-40de-9473-e11ca52895f5 · outbound

This paper cites When visual state space model meets backdoor attacks,.

BadViM: Backdoor Attack against Vision Mamba When visual state space model meets backdoor attacks,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:02.057124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation fa119550-03d1-48f8-8ce3-f69e3b62a73d · outbound

This paper cites Wanet - imperceptible warping-based backdoor attack,.

BadViM: Backdoor Attack against Vision Mamba Wanet - imperceptible warping-based backdoor attack,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:02.021653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5c2ed550-f265-4f37-8472-6a63e658ebf3 · outbound

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

BadViM: Backdoor Attack against Vision Mamba Reflection backdoor: A natural backdoor attack on deep neural networks,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:01.858056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b6fd9d78-64f6-4dd5-aed5-aec69c23bb8e · outbound

This paper cites Deep feature space trojan attack of neural networks by controlled detoxification,.

BadViM: Backdoor Attack against Vision Mamba Deep feature space trojan attack of neural networks by controlled detoxification,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:01.530830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d7f70566-e5ab-4c27-a8d1-2e5d8de0f8fb · outbound

This paper cites Blind backdoors in deep learning models,.

BadViM: Backdoor Attack against Vision Mamba Blind backdoors in deep learning models,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:01.351543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 298204fe-b477-491c-921e-9bd194844571 · outbound

This paper cites LIRA: learnable, imperceptible and robust backdoor attacks,.

BadViM: Backdoor Attack against Vision Mamba LIRA: learnable, imperceptible and robust backdoor attacks,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:01.083082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 82dffd37-2264-4ec1-948c-5331fbdbde4c · outbound

This paper cites Bppattack: Stealthy and efficient trojan attacks against deep neural networks via image quantization and contrastive adversarial learning,.

BadViM: Backdoor Attack against Vision Mamba Bppattack: Stealthy and efficient trojan attacks against deep neural networks via image quantization and contrastive adversarial learning,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:00.763570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a7590bb3-5dc1-4b55-b77b-e2cfbf18d403 · outbound

This paper cites Revisiting backdoor attacks on time series classification in the frequency domain,.

BadViM: Backdoor Attack against Vision Mamba Revisiting backdoor attacks on time series classification in the frequency domain,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:00.469700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b971197c-1559-4ea8-82ae-59e14e3462eb · outbound

This paper cites Demystify mamba in vision: A linear attention perspective,.

BadViM: Backdoor Attack against Vision Mamba Demystify mamba in vision: A linear attention perspective,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T21:18:00.185588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 58b5367f-526d-44d0-841a-ded2f56c4517 · outbound

This paper cites Exploring robustness of visual state space model against backdoor attacks,.

BadViM: Backdoor Attack against Vision Mamba Exploring robustness of visual state space model against backdoor attacks,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:59.581297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

This paper cites BadScan: An Architectural Backdoor Attack on Visual State Space Models.

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 9afb2f59-411f-4b2d-9115-573b6f170224 · outbound

This paper cites Mambaout: Do we really need mamba for vision?.

BadViM: Backdoor Attack against Vision Mamba Mambaout: Do we really need mamba for vision?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:17:59.748983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.