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Paper Citation Record · LEDGER

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors

As of 22 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 1 inbound Pith citation observation for arXiv:2501.02373.

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

pith.paper-citation-record.v1
2501.02373 v3

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:18:55.601852Z

measured 61 of 61 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T09:24:00.948230Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T11:38:05.633613Z

Reference resolution

60 of 60 outbound references displayed

  • verified exact0
  • verified fuzzy36
  • unresolved24
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 98cbf9b1-9be8-4159-bbfc-a4d2ae4a5249 · outbound

This paper cites Here ' s a free lunch: Sanitizing backdoored models with model merge.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Here ' s a free lunch: Sanitizing backdoored models with model merge

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.652454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.300118Z digest=sha256:d9a693d740751338e063fcdec67b58094d59ae2a1066ebe3680df758a48f80ca

Observation 25820a1c-9a6b-4e5e-9b1a-d1e6cbe9bcf5 · outbound

This paper cites How to backdoor federated learning.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors How to backdoor federated learning

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.637812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.306002Z digest=sha256:788a2112baa2b4c16bf9f16f1acf6bfa74532826660c5dedaea1af342e580b55

Observation d1b3c68d-dc59-445e-a883-64fb48683885 · outbound

This paper cites Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.312819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.312819Z digest=sha256:04d382d40ccab298012ea1d7b981f9be43313b4f9159969e769c90809b1fe376

Observation 86fed6d6-84de-4389-81cf-5cef2033e613 · outbound

This paper cites Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.318571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.318571Z digest=sha256:5d0e0c007f212f0bc25762d8b124606dcc6306a88ddc3f347da7fb920fb30562

Observation c8976c01-a571-4a3f-8d3b-7a37dee82c15 · outbound

This paper cites Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.324898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.324898Z digest=sha256:796b7ba5e1030b9c5fe28208bf043007b27fdc601738f98a809ef5ced37730f0

Observation 4141f9d2-79cf-40fd-961d-f337cea06812 · outbound

This paper cites Language and task arithmetic with parameter-efficient layers for zero-shot summarization, 2024.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Language and task arithmetic with parameter-efficient layers for zero-shot summarization, 2024

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.622408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.330730Z digest=sha256:2d565ea6a988f410665c0fb2e924177df10adc6ded5a6198c1c44e138cfc371e

Observation ca090d0d-2f98-408e-8fcd-b94b3b4dd0a0 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Imagenet: A large-scale hierarchical image database

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.606268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.336705Z digest=sha256:fab4f62544c486b0360689f347fadb2fc723d116c7b33d00f38963cc12429b33

Observation df21680f-99c4-4ab8-b5af-8dae566d95f3 · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.590123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.341610Z digest=sha256:518694443c4bcc40198904be0c83a55a2ecf2a9198c7f0f35a956a995ede2478

Observation c9230ba0-413c-4a87-83ed-84a09cdc6b55 · outbound

This paper cites Lira: Learnable, imperceptible and robust backdoor attacks.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Lira: Learnable, imperceptible and robust backdoor attacks

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.574427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.347347Z digest=sha256:244c269b0cf75798c3257e2d2bb5b817dfbe52b29435867bcfc802b620d64294

Observation 83356826-fe0f-48cc-be25-c84875359b30 · outbound

This paper cites an unresolved cited work.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:18:56.559945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.352573Z digest=sha256:5681927d6068aa9e0734e8cc953689632789a9b678d326de3f96f2abaca39017

Observation 88097fb6-a8f6-4c27-bac9-aa415a24c986 · outbound

This paper cites Malicious android backdoor lets hackers steal your phone’s content.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Malicious android backdoor lets hackers steal your phone’s content

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.545499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.358118Z digest=sha256:e07208c7cfd65431e15db2e653344221bb967a3e47e8d6526fde915aa26b834d

Observation f552c793-ab11-4cd8-9f4e-82854df76f1d · outbound

This paper cites An image is worth 16x16 words: Transformers for image recognition at scale.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors An image is worth 16x16 words: Transformers for image recognition at scale

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.362612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.362612Z digest=sha256:a60841b2f5fea01f4a1cbb2fcc9990cd7026d021fb0acc9844aaa8b58a17bed6

Observation 9751f057-75a7-4ab6-a51c-0efb24b74bfb · outbound

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

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Badnets: Evaluating backdooring attacks on deep neural networks

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.367284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.367284Z digest=sha256:d403701f5f9765399fa21cc73e30a4a08118b1434da86a4717d6b4630d2f40df

Observation 8a05ecd0-171e-473f-bc62-547dcef54ebe · outbound

This paper cites an unresolved cited work.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:18:56.511539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.372063Z digest=sha256:b49bc159c6bb774a4fd84b78bfd91c4b8a00cf0f9c3e90f408e9455896b37b56

Observation 32c9019e-7e97-4a50-8f99-fbd41b6aaf9d · outbound

This paper cites Safety arithmetic: A framework for test-time safety alignment of language models by steering parameters and activations.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Safety arithmetic: A framework for test-time safety alignment of language models by steering parameters and activations

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.496211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.376500Z digest=sha256:bc207986b083e05ade299a2bd6c9a1d644c3d265a6597628d70c5ff9188920fb

Observation d46378ac-2d41-43ca-9c36-c04e5ab1200f · outbound

This paper cites Introducing eurosat: A novel dataset and deep learning benchmark for land use and land cover classification.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Introducing eurosat: A novel dataset and deep learning benchmark for land use and land cover classification

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.481204Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.380989Z digest=sha256:51772d3c3d031f24d6da9bba0e9318d2460b604c0fcdb7566c204643810f7fe3

Observation 75bace4a-15eb-48d8-b45e-cedb3ea561a7 · outbound

This paper cites J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.466534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.385376Z digest=sha256:3728aa2445fd5aafff11f3109a0fe383f02ae05d8d30d3838203641e1fb9fed1

Observation fbe76010-53f1-4c86-a326-7b9383dff099 · outbound

This paper cites Openclip, 2021.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Openclip, 2021

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.390237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.390237Z digest=sha256:f7646ee7a4bccd8e2210bc71ffa55fc04cc9c981ab0f54603be04f8bdff6a633

Observation a3ee2804-f9e9-492c-a3da-b3ef62eb5e0e · outbound

This paper cites T., Wortsman, M., Gururangan, S., Schmidt, L., Hajishirzi, H., and Farhadi, A.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors T., Wortsman, M., Gururangan, S., Schmidt, L., Hajishirzi, H., and Farhadi, A

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.442883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.394765Z digest=sha256:7a4683d0a7c48b7861430d61e57fa099b1f6f5ca1c51d06160190836e74e6214

Observation 48215e63-1bf8-4242-91e3-7af0004f2780 · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Scaling up visual and vision-language representation learning with noisy text supervision

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.427369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.399912Z digest=sha256:ed39ddef284cd93ab8a34ef5f418640d70736210c60b88a725e5694c283fae6c

Observation 008d39e0-c534-4134-b710-e16e828da3e2 · outbound

This paper cites Decoupling noise and toxic parameters for language model detoxification by task vector merging.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Decoupling noise and toxic parameters for language model detoxification by task vector merging

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.404475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.404475Z digest=sha256:fbc7105d18583dbcbea789a58733cf5d280cc9a4c6fdbaa8bf0e1e5f4657a140

Observation 00b870df-cc98-4b69-ad62-06a1051a4a34 · outbound

This paper cites 3d object representations for fine-grained categorization.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors 3d object representations for fine-grained categorization

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.403034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.410527Z digest=sha256:9dace46491e853467dbf7876e3206a44f9dc5adee24e85e99b97d34f53cf9719

Observation 1ffb9e16-7607-423e-915f-18d23e539e50 · outbound

This paper cites Learning multiple layers of features from tiny images.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Learning multiple layers of features from tiny images

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.389158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.415078Z digest=sha256:c6f288bf2060cb9626fcaec2af9848dbfd90d7e487bed8990b2fb723647d1d0e

Observation 7edd1f81-8b59-4740-92e0-06b6915af22d · outbound

This paper cites Gradient-based learning applied to document recognition.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Gradient-based learning applied to document recognition

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.375154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.419733Z digest=sha256:8d777cf7cf35e797be19e679751dedff4285bd14fc4ae857b1462420b813ae2a

Observation fb109021-5ddf-490e-a87a-03fe132a7804 · outbound

This paper cites Safety Layers in Aligned Large Language Models: The Key to LLM Security.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Safety Layers in Aligned Large Language Models: The Key to LLM Security

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.425547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.425547Z digest=sha256:383ababc22a7c5512d7ef1349e868ca43e48303e29f3a33d9b481c593fcc262b

Observation 0ebb000f-b1b6-4f36-b827-7b1367c8835a · outbound

This paper cites an unresolved cited work.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:18:56.360952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.430732Z digest=sha256:5bd2b6a3d4b1ab628e954a4e61610faa01d2a50ed6b60f6a710b1fa78e2cbc5b

Observation 6ff85b7f-3bd6-406e-8d07-b5fab204ddc5 · outbound

This paper cites Trojaning attack on neural networks.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Trojaning attack on neural networks

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.347398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.435295Z digest=sha256:79fe4ae01987f472d91fe33a9abcf829dc197dda7baebd7508a04326415adef7

Observation 80d9bab2-5c39-4249-8bc3-c22f5f61cb09 · outbound

This paper cites Full parameter fine-tuning for large language models with limited resources.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Full parameter fine-tuning for large language models with limited resources

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.333235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.439934Z digest=sha256:96b7d69fc9cb37b1dae892518c76ad2b69196106a06ab8e3f12f17c0cd352663

Observation 983ef799-baad-42a5-931e-8b43d96a7609 · outbound

This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Towards Deep Learning Models Resistant to Adversarial Attacks

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.444613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.444613Z digest=sha256:bf3ffc10ac81a8d5cba5d0ba5b4995bc72bbf465c47451406a2c502b73cd0af0

Observation 71d682b7-1d8b-4d6c-ac7b-ff6e0be6a248 · outbound

This paper cites Y., et al.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Y., et al

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.318347Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.449418Z digest=sha256:fde7999b2c69897a62b67fe8e3297e74dd761d105cf3b19f75ff9ae4c325a2ad

Observation aacbeb56-7e0b-438b-abad-dd2d7cceb6c3 · outbound

This paper cites an unresolved cited work.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:18:56.303542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.453856Z digest=sha256:6f0a9e562b408444bee1aba095b69fc209013d3b2080197f583802980bba1fa5

Observation 410a4d72-97b8-4cad-9273-309bc11ee9d8 · outbound

This paper cites an unresolved cited work.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:18:56.289087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.458487Z digest=sha256:564066d369bb51992d2cd9eb6a12c1ce830464deb2c8930251e4f63bca42f6af

Observation a14924ba-0b6d-48ab-a52b-76dc4173ae16 · outbound

This paper cites Task arithmetic in the tangent space: Improved editing of pre-trained models.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Task arithmetic in the tangent space: Improved editing of pre-trained models

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.274912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.463499Z digest=sha256:a2296709339e8311b4714a00be024a15a4b6116127603d28337c7468004d7889

Observation f017e9dc-7ca0-4bd8-a3af-e938bbb882c2 · outbound

This paper cites Task arithmetic in the tangent space: Improved editing of pre-trained models.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Task arithmetic in the tangent space: Improved editing of pre-trained models

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.259696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.468502Z digest=sha256:96b27c2f100c070071086d1ad23d9a6698e2a89fbfb5fa2b3241de5126c27d62

Observation 1e53d1df-d2b1-4ba2-b55a-776e8173be3a · outbound

This paper cites O., Hegde, C., and Cohen, N.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors O., Hegde, C., and Cohen, N

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.244120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.473265Z digest=sha256:2089e5973622378bf7a7d0be847b68cf434d07c7a93fc9c4b9d7868e33db1782

Observation 82669c88-2ace-48df-a8f8-c95bea25ea3b · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., Krueger, G., and Sutskever, I

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.224272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.477824Z digest=sha256:6e531a85a6b7ba0b025be0827719f7176ba80baa787507dffcb17bfb1684b0a1

Observation e57ca6ab-7b27-4814-8490-491a18ccdf89 · outbound

This paper cites Task vector algebra for asr models.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Task vector algebra for asr models

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.210035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.482477Z digest=sha256:2f599e82a777fb24e9618a65bb771abf803dcba7014c818f5b66111750a00a9b

Observation 511b0e91-4c77-40aa-8f46-c802ac1d16b8 · outbound

This paper cites Get a model! model hijacking attack against machine learning models.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Get a model! model hijacking attack against machine learning models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.194663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.488373Z digest=sha256:a02889b115a40742467a56ab0ddff0e1e430722b9f9697b8794635d0d16ce791

Observation 75ac97f1-58da-449a-87a8-dfe8926a6af4 · outbound

This paper cites Dynamic backdoor attacks against machine learning models.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Dynamic backdoor attacks against machine learning models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.180055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.492763Z digest=sha256:8010cc7b1e71629620c58c4459ea2d9268db2dcd96ae4f886cc0a3ec114107d5

Observation 1edb1ff0-e9cc-437f-91f4-3f8784231535 · outbound

This paper cites Phantomlance android backdoor discovered on google play.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Phantomlance android backdoor discovered on google play

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.165154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.497505Z digest=sha256:9cb235fef7191f2fa11c1dc11fcb7314173e58ca254565a33c57613861695970

Observation b0039fd0-fa53-4903-b7b9-7dc1c86d2d9f · outbound

This paper cites This android malware installs a backdoor on your phone — delete these malicious apps now.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors This android malware installs a backdoor on your phone — delete these malicious apps now

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.149365Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.502199Z digest=sha256:053a774d979eb47d37ce80e3c23388784b02811a9caaa21f6a9eda59a0110530

Observation 89f83a0c-f32c-4eef-8806-96af752236ed · outbound

This paper cites an unresolved cited work.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:18:56.131520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.507443Z digest=sha256:147f035e4e283b8bae5bf261d9ef0a3039bad662028c0a7d8977b945c73ff838

Observation 7fe465d5-4966-4fc9-b412-550d67d52cd7 · outbound

This paper cites Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.512183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.512183Z digest=sha256:9d543dfee09d5dc7d97873623cdea19a8eee67cc0996d1b2808e73577baf8507

Observation 0bf6d934-ba70-41aa-a781-1b01aa998821 · outbound

This paper cites Concrete subspace learning based interference elimination for multi-task model fusion.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Concrete subspace learning based interference elimination for multi-task model fusion

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.518196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.518196Z digest=sha256:575d1bd8d69f490af4295160d0f61772bc12c9dd3bd20f5c7646efed044b9087

Observation 798f37ee-e34a-4081-a30e-d5ff3215b3fe · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.522825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.522825Z digest=sha256:f7e2c46d27cc2287ee069c901ea44c7fedbbb1a592c6eaf759d7da7c0d97dcb9

Observation 6abad6d4-914b-4762-a4f1-be3254714a27 · outbound

This paper cites Label-Consistent Backdoor Attacks.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Label-Consistent Backdoor Attacks

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.527556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.527556Z digest=sha256:799918be0f84e89e4980e33cdc59b4219194d253f781dabd6ca0455d9f098274

Observation 5c1534ea-2658-4d85-9e5b-e20b6cd09f67 · outbound

This paper cites an unresolved cited work.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:18:56.116111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.533913Z digest=sha256:03bec0f01d126c4b79168029d939117107687e0a7207de631cc83b992572025e

Observation 08c22f5b-bbe3-4654-890a-afdf8174240d · outbound

This paper cites an unresolved cited work.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-10T22:18:56.102107Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.538458Z digest=sha256:bc2338d42ad7e78fbc1e7804458d9fee4c43351cda8651564854be1908a738a1

Observation 180d4346-f86b-42ea-b0a3-24b80d52b021 · outbound

This paper cites Attack of the tails: yes, you really can backdoor federated learning.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Attack of the tails: yes, you really can backdoor federated learning

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.086798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.544139Z digest=sha256:9ab96ed0b09a2b7aa2aa4aaff3097f47ca99082b820ac4943c2a2882bab302ba

Observation de470db1-3572-4f37-a501-eec925c0ac92 · outbound

This paper cites J., and Kesidis, G.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors J., and Kesidis, G

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.072181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.552223Z digest=sha256:39535366baa41484b38b5eb7878c4871c2acdd9a64b095f6ce96b479a3dd3e0a

Observation b7854de1-f201-4ef6-988c-5632b7cbfd28 · outbound

This paper cites Y., Roelofs, R., Gontijo-Lopes, R., Morcos, A.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Y., Roelofs, R., Gontijo-Lopes, R., Morcos, A

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.057608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.557976Z digest=sha256:c18c0969990ddca4cff5f203951d6e09d7bf320930705d9671e6ff4e757b504f

Observation 12292868-71d2-4c27-8473-8907112fbac9 · outbound

This paper cites A., Oliva, A., and Torralba, A.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors A., Oliva, A., and Torralba, A

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.041947Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.562904Z digest=sha256:65b179ed67e274baed08f42de7488b9de81a6f61f37ba4f0d8736217c32b02d4

Observation 64734ee0-d720-40a4-9e5d-ec64d8e365eb · outbound

This paper cites A., and Bansal, M.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors A., and Bansal, M

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.025369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.567490Z digest=sha256:510d5384e990a840b4c050c0487d93b0c575fc0ffdb6f9e89e6ca8e1077981f2

Observation fde2136c-396d-4d25-8adf-84f856d3219b · outbound

This paper cites Representation Surgery for Multi-Task Model Merging.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Representation Surgery for Multi-Task Model Merging

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.572824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.572824Z digest=sha256:75b8f25dfc77658b96d2477f90cfd1e5b0c4ef1f9be23bcbf1d4c9ccf871e2fa

Observation 8fa1afd1-40e1-457e-b90d-39ec85a9b738 · outbound

This paper cites Adamerging: Adaptive model merging for multi-task learning.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Adamerging: Adaptive model merging for multi-task learning

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:56.009743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.577634Z digest=sha256:a736be674d0211db5aaf84f62bc619065e05f80c8cc0e9dd259eca9257f930dc

Observation 91afea1f-9cfc-4f2d-bf09-c64def092a1d · outbound

This paper cites Sampdetox: Black-box backdoor defense via perturbation-based sample detoxification.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Sampdetox: Black-box backdoor defense via perturbation-based sample detoxification

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:55.993906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.582464Z digest=sha256:4e8a9c4b6cbbede6beb9b00bded4373916548ac6851de74e20d5cab16cec55c0

Observation 11ad00ef-d276-4f55-adff-6dc86d062783 · outbound

This paper cites A safety realignment framework via subspace-oriented model fusion for large language models.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors A safety realignment framework via subspace-oriented model fusion for large language models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.587515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.587515Z digest=sha256:c5dcb7ffa783e65d07442391c5f20b89875a7d32f23fa4c329c0e36f0ff3499b

Observation 375bde10-4ea7-4f16-8dbb-cceefdf12509 · outbound

This paper cites A., Lyu, L., Qiu, M., and Jia, R.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors A., Lyu, L., Qiu, M., and Jia, R

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:55.978807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.592670Z digest=sha256:d9444d76febce48682d1c9832e939ed9e5fa320c16640b43e13498ed17f3a763

Observation 69156b41-08b1-47ca-9510-cec5a5a3af58 · outbound

This paper cites Badmerging: Backdoor attacks against model merging.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors Badmerging: Backdoor attacks against model merging

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T22:18:55.963266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-10T22:18:55.597379Z digest=sha256:0e3ae8531b22ba1696bdac2def2faf758b3870701e0b7bcb6edab33a2c398a44

Observation 7ee79901-b3fb-45d9-825d-a22f52c47068 · outbound

This paper cites write newline.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors write newline

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.601852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.601852Z digest=sha256:c06c017d9883a63d86b1d4636f223e6cfa6b76b6d5c3c3081422d2d18f94b237

Pith citing papers

Observation 3bb47612-2dbc-4807-ae11-d03d6a972fc9 · inbound

From Parameters to Feature Space: Task Arithmetic for Backdoor Mitigation in Model Merging cites this paper.

From Parameters to Feature Space: Task Arithmetic for Backdoor Mitigation in Model Merging BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-07-21T01:19:45.249615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T09:24:00.948230Z digest=sha256:848eda22aef8f081394d395de7ca465dd9d22eb3bb09ffdb00873329025324f6