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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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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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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

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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.

source=arxiv_source observed=2026-08-10T04:32:57.912916Z digest=sha256:ebc67540f4316024b2f4d428b2fb8bdbb61bbe3c2e923d2fd6430a410a028ee4

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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Unavailable: canonical work link unavailable.

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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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:57.922706Z digest=sha256:ff10c4dc3420fec33e8312e5ffa7681472dcedc9d368755e27ab784177aa216e

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=sha256:43ee6ba461fb67883bb6a68648d9f735c71da133607c29db32ea28d57ef9750c

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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source=arxiv_source observed=2026-08-10T04:32:57.928858Z digest=sha256:d0e37c6aa83266f2755d4aaafc5ee0fa33dd9eed6fc7438493d23edd2027ddd7

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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Source-reported events for the cited work

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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
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Source-reported events for the cited work

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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

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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 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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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
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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 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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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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Unavailable: canonical work link unavailable.

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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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:57.966065Z digest=sha256:ed9d55069683a121c8b326edca0993d2f5c97df73439020fa8ca86faf8772222

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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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:57.969149Z digest=sha256:79878db618c3853c3c3360439f3219a65bf9a891302de44d4e7008cdb65a932b

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
raw_fallback, observed 2026-08-10T04:32:58.457614Z

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 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

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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.

source=arxiv_source observed=2026-08-10T04:32:57.980897Z digest=sha256:2798d16e285ddd446973b5329b461e3fb1e9e9292b20b4221322f9d787f1b375

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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unresolved
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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:fffa1a3c4ed770b0f7faffaf61e9df53b056d7aff1c650f10d052c8c46178a7e

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

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:57.986509Z digest=sha256:59dffae0b99f2e1c2b5fa81825de9a393904fb5fed87c13a330ceb47ba083ee2

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.

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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=sha256:4a61c512f8f79b276eb8cedc56d9b4432aeca14ea41c720ee03c721708a4e5e2

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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T04:32:57.995276Z digest=sha256:14daeacfee9ef89e4d9749450dc290794d2f6fade749bd3f72231f3fcb729483

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=sha256:3e802475e84b3bf598e1ca805baaf5f474e2aa0f444cff0dbf4a17bac530fda8

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=sha256:9ed12b9a9dce34f7bdf04a36892aab9aeb9d2a335cdf8c5e31ef2de45fba318c

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:d86256bc6b7412f4bc2a9322ccd08651c42ca9dcda16b9f11631ef40c191d283

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=sha256:9747e57e94f67604ed097b30c493ae9d03a84db362ee2aeab19ae9742a795ee4

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

Resolution
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=sha256:4b71fef64f8b7d8f9abfd9d5022d68969c08b1e79314008534d18f37885f219a

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:de79b65a66f554895dda524bc437982b54edc74bdde13338ad3816fe318626f1

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:cb7f70c14dbf871de279d58e3d4fde59eba84f7a7f8563bab27916333d6e0d43

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=sha256:406c65f73044bf434cf8ad64da8d56ef21a6ac2b63376dcd8be54c970e52f65d

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=sha256:77bf7b3920a89922da50875abdeb2358200d64ec0bbf21f4120e6a5b2691f5b8

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=sha256:5252773e551d11f3f036ee0931b410a12087b1af8e5cf8fa03b42d45fe185144

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=sha256:763f9dbb1078a03f7578c4fae45efb3385ca7c7346064a7e124156f37cbc06fd

Pith citing papers

No inbound Pith citation observations are available.