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Paper Citation Record · LEDGER

Topological Signatures of Adversaries in Multimodal Alignments

As of 10 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2501.18006.

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

pith.paper-citation-record.v1
2501.18006 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T04:32:58.029968Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

43 of 43 outbound references displayed

  • verified exact1
  • verified fuzzy17
  • unresolved24
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e8d3f68-f974-4be4-a6d0-69854cdb630e · outbound

This paper cites write newline.

Topological Signatures of Adversaries in Multimodal Alignments write newline

Reference 1

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source=arxiv_source observed=2026-08-10T04:32:57.897224Z digest=sha256:1f1cc74b9090f1b019e8240332bd7e703b9b1228466f1ccdfad0ffe81f35be2a

Observation cd231f8d-2f39-40b8-82c7-b153a54aad1b · outbound

This paper cites Pytorch topological.

Topological Signatures of Adversaries in Multimodal Alignments Pytorch topological

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f05e5cab-cc20-44d9-bb4b-8dd7ff46182c · outbound

This paper cites and Steele, J.

Topological Signatures of Adversaries in Multimodal Alignments and Steele, J

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 81ff49c3-7f61-41d3-a2ef-75df656f4357 · outbound

This paper cites Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models.

Topological Signatures of Adversaries in Multimodal Alignments Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

Reference 4

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-10T04:32:57.909221Z digest=sha256:89da46184adeb366d7275ce7b02ed78e7298f8f5a196e4bfaf2171f453606224

Observation 36e7cca1-49e7-4076-ae40-2aab827b1bf2 · outbound

This paper cites P., Ramdas, A., Sejdinovic, D., and Gretton, A.

Topological Signatures of Adversaries in Multimodal Alignments P., Ramdas, A., Sejdinovic, D., and Gretton, A

Reference 5

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T04:32:57.912916Z digest=sha256:27cdc7304577f0fdc06402358147843d91f129b47965f6065c6283e8f5f779cf

Observation 1c4a3098-358a-4e1c-a76b-cefddd3e4af0 · outbound

This paper cites Detecting adversarial samples using influence functions and nearest neighbors.

Topological Signatures of Adversaries in Multimodal Alignments Detecting adversarial samples using influence functions and nearest neighbors

Reference 6

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8b57dc0e-e87f-4b06-8482-c94560083926 · outbound

This paper cites C., Roxo, T., Proença, H., and Inácio, P.

Topological Signatures of Adversaries in Multimodal Alignments C., Roxo, T., Proença, H., and Inácio, P

Reference 7

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Observation 5d1016f8-9d1e-48bd-867a-b5968b499cc9 · outbound

This paper cites an unresolved cited work.

Topological Signatures of Adversaries in Multimodal Alignments Unresolved cited work

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:57.922706Z digest=sha256:1d9e153cdce748a28ab2f9c3c2d111568f2f5df344012fe99d594f479f89995f

Observation 8408c833-143d-4f9f-a135-c1832bca8415 · outbound

This paper cites ImageNet: A Large-Scale Hierarchical Image Database.

Topological Signatures of Adversaries in Multimodal Alignments ImageNet: A Large-Scale Hierarchical Image Database

Reference 9

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source=arxiv_source observed=2026-08-10T04:32:57.925736Z digest=sha256:1f782028eadc33d6b3aaecc782811460707026d90b166a4ecb3039d90cd1ac80

Observation 6b6877c6-d322-4d98-a961-79071a651f4c · outbound

This paper cites and Polonik, W.

Topological Signatures of Adversaries in Multimodal Alignments and Polonik, W

Reference 10

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:57.928858Z digest=sha256:e3bbef84fa1c4566be538cdf2903ae80d37e2a875ce6740c7ffe9113bf88cfc6

Observation 26b5422f-2447-4498-a761-7877a9e2290b · outbound

This paper cites and Harer, J.

Topological Signatures of Adversaries in Multimodal Alignments and Harer, J

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 15b2e12d-b818-4086-8473-e39a9c0dcb90 · outbound

This paper cites Detecting Adversarial Samples from Artifacts.

Topological Signatures of Adversaries in Multimodal Alignments Detecting Adversarial Samples from Artifacts

Reference 12

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unresolved
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Unavailable: canonical work link unavailable.

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Observation 02453426-e360-4380-8f41-7c28101f0718 · outbound

This paper cites Maximum mean discrepancy test is aware of adversarial attacks.

Topological Signatures of Adversaries in Multimodal Alignments Maximum mean discrepancy test is aware of adversarial attacks

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e0b5b79d-518d-4576-acf6-ee92686a0a4b · outbound

This paper cites Elementary Applied Topology.

Topological Signatures of Adversaries in Multimodal Alignments Elementary Applied Topology

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 41d6d088-d101-464d-86aa-5ee277b3b8e7 · outbound

This paper cites Deep learning, volume 1.

Topological Signatures of Adversaries in Multimodal Alignments Deep learning, volume 1

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation ae9c7200-5536-45df-bfcb-d66618e6f03c · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Topological Signatures of Adversaries in Multimodal Alignments Explaining and Harnessing Adversarial Examples

Reference 16

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation f8898302-19d9-4f5e-9bc3-bee1b50a9bf4 · outbound

This paper cites an unresolved cited work.

Topological Signatures of Adversaries in Multimodal Alignments Unresolved cited work

Reference 17

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unresolved
raw_fallback, observed 2026-08-10T04:32:58.478235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 34eeebe9-3685-4669-a740-abf784e773ff · outbound

This paper cites On the (Statistical) Detection of Adversarial Examples.

Topological Signatures of Adversaries in Multimodal Alignments On the (Statistical) Detection of Adversarial Examples

Reference 18

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unresolved
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Unavailable: canonical work link unavailable.

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Observation 8617ac82-4cff-4eb9-bba4-54a6f04e6661 · outbound

This paper cites Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models.

Topological Signatures of Adversaries in Multimodal Alignments Safe LoRA: the Silver Lining of Reducing Safety Risks when Fine-tuning Large Language Models

Reference 19

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Unavailable: canonical work link unavailable.

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Observation baa83a02-db79-42bc-bc53-9c1ddbdfe48c · outbound

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

Topological Signatures of Adversaries in Multimodal Alignments J., Shen, Y., Wallis, P., Allen-Zhu, Z., Li, Y., Wang, S., Wang, L., and Chen, W

Reference 20

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Observation 21cf1561-61e0-4849-846e-a08cff334aa6 · outbound

This paper cites P., and Gretton, A.

Topological Signatures of Adversaries in Multimodal Alignments P., and Gretton, A

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:57.963028Z digest=sha256:55e1d1deebf1ea657ac0c3db9e9a7f3c7cb6be91e5020d6a7184c9dacd97c525

Observation 99feefb3-7f23-4c89-97ea-d37558e279b5 · outbound

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

Topological Signatures of Adversaries in Multimodal Alignments Torchattacks: A PyTorch Repository for Adversarial Attacks

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:57.966065Z digest=sha256:e1858753c0724f3af2b2fcf5d434d0cbf2105d59d8fbf07416ea1695c5ced249

Observation 8333e102-4665-4a41-b667-e720fe5416bc · outbound

This paper cites Computation of degree-1 persistent homology on larger point-clouds using the Reduced Vietoris-Rips filtration.

Topological Signatures of Adversaries in Multimodal Alignments Computation of degree-1 persistent homology on larger point-clouds using the Reduced Vietoris-Rips filtration

Reference 23

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unresolved
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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:57.969149Z digest=sha256:ce6e717c3795bc5ae40e590a957f77fb6d917a8e7607c166836eaf1a594e1d12

Observation c48d74e1-9e88-4ad1-b1ac-96120049188a · outbound

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

Topological Signatures of Adversaries in Multimodal Alignments Learning multiple layers of features from tiny images

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T04:32:57.972302Z digest=sha256:9208a4601b259b9a50d45e792e416e95353acaa3ce8dea7d5197c03b931cd98a

Observation 546c0957-69a8-4b98-b353-4f3581ca8d63 · outbound

This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks.

Topological Signatures of Adversaries in Multimodal Alignments A simple unified framework for detecting out-of-distribution samples and adversarial attacks

Reference 25

Resolution
unresolved
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Unavailable: canonical work link unavailable.

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Observation f5b5b337-bc9e-4876-a931-715ca6e7ca66 · outbound

This paper cites Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation.

Topological Signatures of Adversaries in Multimodal Alignments Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:32:58.442627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7b0c630b-265d-4ab8-9e0a-9c623d523e98 · outbound

This paper cites and Li, F.

Topological Signatures of Adversaries in Multimodal Alignments and Li, F

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7f785633-10e8-439a-9d4b-b2934d12cfd4 · outbound

This paper cites an unresolved cited work.

Topological Signatures of Adversaries in Multimodal Alignments Unresolved cited work

Reference 28

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:57.983724Z digest=sha256:0b21235b260315ca471da96cdcac20bf50e16b64aff363817ecd5acdd423e5e4

Observation 3e344d6a-9bc1-42dc-9877-f521943e2c33 · outbound

This paper cites Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality.

Topological Signatures of Adversaries in Multimodal Alignments Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T04:32:57.986509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:57.986509Z digest=sha256:8d32861cc29fe0cf55b5b01e6834f04866c67d5def5e90e08af8b470207a2d74

Observation 28ec756b-e504-45b9-860c-8fa5b185d5c6 · outbound

This paper cites Learning to characterize adversarial subspaces.

Topological Signatures of Adversaries in Multimodal Alignments Learning to characterize adversarial subspaces

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:32:58.417929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T04:32:57.989495Z digest=sha256:b96e1da8b9598abe5cc59ec5f485069d04d32259b3c7beadd3e6dd3f13ea1cf2

Observation 02ca47c2-4066-48e6-825c-653feec847e9 · outbound

This paper cites H., Park, J., Chung, S., Kim, J., Oh, M.

Topological Signatures of Adversaries in Multimodal Alignments H., Park, J., Chung, S., Kim, J., Oh, M

Reference 31

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metadata mismatch
raw_fallback, observed 2026-08-10T04:32:58.218490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T04:32:57.992453Z digest=sha256:dbb0186ec1ab9e15e4820cb3e47eeb1c083697175ad5fd8a17141612bf93330c

Observation 3828cb2a-6baa-4913-9664-128b0bf99654 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

Topological Signatures of Adversaries in Multimodal Alignments W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 32

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unresolved
no resolver link, observed 2026-08-10T04:32:57.995276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:57.995276Z digest=sha256:07e5aa006a9bcdfbe8b315863c459e1097a8618a3179eb6546eedb654a4addd4

Observation 1ed99c90-8a25-465d-affa-7d8aac429ea9 · outbound

This paper cites A stable multi-scale kernel for topological machine learning.

Topological Signatures of Adversaries in Multimodal Alignments A stable multi-scale kernel for topological machine learning

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:32:58.402077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T04:32:57.998286Z digest=sha256:ef67cabf51d6061d314c4a058bd82c0c97d922622fd691ccd5c22ce2184e3a40

Observation 23319700-5aee-4700-ad8c-e39193617a21 · outbound

This paper cites J., Tung, H.-Y., Strathmann, H., De, S., Ramdas, A., Smola, A., and Gretton, A.

Topological Signatures of Adversaries in Multimodal Alignments J., Tung, H.-Y., Strathmann, H., De, S., Ramdas, A., Smola, A., and Gretton, A

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:32:58.391715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T04:32:58.001654Z digest=sha256:02ee2e33e79ba227903f2115844fe2326ba97b8e5e3110d456b8824bafd9767d

Observation 5e7d3b33-ff7a-4ca0-923d-f9cabdb7f564 · outbound

This paper cites U ber den h \.

Topological Signatures of Adversaries in Multimodal Alignments U ber den h \

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:32:58.381646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T04:32:58.004473Z digest=sha256:64326162fad6df6d09f9161f33c5961f7b212bb613e156804299e6aa4d870685

Observation 8a1fd3c6-cc57-4728-af91-262777c6f9a9 · outbound

This paper cites InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance.

Topological Signatures of Adversaries in Multimodal Alignments InferAligner: Inference-Time Alignment for Harmlessness through Cross-Model Guidance

Reference 36

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unresolved
no resolver link, observed 2026-08-10T04:32:58.007457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:58.007457Z digest=sha256:4d02d58cd6942158dabaa70b16fca5fa5d5dde858f5e7217e0af79b41dc70523

Observation 46954c41-bb54-4276-8149-a6397ffbdc6c · outbound

This paper cites AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting.

Topological Signatures of Adversaries in Multimodal Alignments AdaShield: Safeguarding Multimodal Large Language Models from Structure-based Attack via Adaptive Shield Prompting

Reference 37

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unresolved
no resolver link, observed 2026-08-10T04:32:58.010705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:58.010705Z digest=sha256:967e452aa5bcbaee1fd350f61a9957e3e02e501fd917d1da076f2f9c80a6ad23

Observation 9284c0f0-e6b6-4ae0-8846-a89898fef7eb · outbound

This paper cites Towards adversarial attack on vision-language pre-training models.

Topological Signatures of Adversaries in Multimodal Alignments Towards adversarial attack on vision-language pre-training models

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:32:58.371953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T04:32:58.014032Z digest=sha256:a48699803799561a9c862416c4c26846c05b72487a2cd1ce039b52756064f29b

Observation 39ecdc30-cca3-40f1-9c99-f117846a1830 · outbound

This paper cites Vision-Language Models for Vision Tasks: A Survey.

Topological Signatures of Adversaries in Multimodal Alignments Vision-Language Models for Vision Tasks: A Survey

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T04:32:58.017033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:58.017033Z digest=sha256:d21d667740e893b821a89713e9e4613c815eb10f887a3dcca91944aaca9dfa68

Observation bb0a29b6-b121-4f0f-8151-52226ea28ad2 · outbound

This paper cites Detecting adversarial data by probing multiple perturbations using expected perturbation score.

Topological Signatures of Adversaries in Multimodal Alignments Detecting adversarial data by probing multiple perturbations using expected perturbation score

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:32:58.362257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T04:32:58.020322Z digest=sha256:dff2432ec5fcbf7494143bcf456cf523d22451c8ed64ae9c47f9c56b7320f9f5

Observation 8fe2da77-eb63-4419-866c-1629db8032a0 · outbound

This paper cites JailGuard: A Universal Detection Framework for LLM Prompt-based Attacks.

Topological Signatures of Adversaries in Multimodal Alignments JailGuard: A Universal Detection Framework for LLM Prompt-based Attacks

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T04:32:58.023306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:58.023306Z digest=sha256:e3a818f6cb0d6032e52723c608fc5d46432cc96b84e76978be3d9b0886220617

Observation 31c29647-cd29-46c2-a027-bfac8a815331 · outbound

This paper cites The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?.

Topological Signatures of Adversaries in Multimodal Alignments The First to Know: How Token Distributions Reveal Hidden Knowledge in Large Vision-Language Models?

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-10T04:32:58.026810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:58.026810Z digest=sha256:ad4b5ab32b5fad0f4a248691da8d42a22635fede5456d732f5af2ecbe7f149e4

Observation 80870918-2ffe-45a2-9212-a73a6a359795 · outbound

This paper cites Advclip: Downstream-agnostic adversarial examples in multimodal contrastive learning.

Topological Signatures of Adversaries in Multimodal Alignments Advclip: Downstream-agnostic adversarial examples in multimodal contrastive learning

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T04:32:58.352448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-10T04:32:58.029968Z digest=sha256:78582421a00ef0c2f718fd8fc7d24bcbac44b168f16483c76fd3e7cb18705c66

Pith citing papers

No inbound Pith citation observations are available.