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Paper Citation Record · LEDGER

Adversarial Attacks to Multi-Modal Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.06793.

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

pith.paper-citation-record.v1
2409.06793 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:54:43.027701Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T06:42:39.750606Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2efba402-b0dd-4b5c-a7b0-1e2e4bdff8e5 · inbound

Adversarial Hubness in Multi-Modal Retrieval cites this paper.

Adversarial Hubness in Multi-Modal Retrieval Adversarial Attacks to Multi-Modal Models

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-23T06:42:39.753621Z

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=pdf_text observed=2026-05-23T06:39:36.039613Z digest=sha256:4d7b6b4b461f0dbb84bf2680977246345cc70318e76c80f44d4a8f47efd72f5d

Observation 7d133490-41c1-4cd4-92fe-41aa5c4f1c24 · inbound

Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding cites this paper.

Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding Adversarial Attacks to Multi-Modal Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T11:54:43.027701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:54:43.027701Z digest=sha256:0b98b9335e22a011b15e1a9fabfeae923348ef20f0d581c1c4b47ba707dee3c4

Observation 5a3fb7c4-09a7-48a0-97e8-9303c3aba842 · inbound

Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing cites this paper.

Certified Robustness under Heterogeneous Perturbations via Hybrid Randomized Smoothing Adversarial Attacks to Multi-Modal Models

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:47:59.127440Z

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=pdf_text observed=2026-05-14T20:23:24.004872Z digest=sha256:145653eeeaa925d961e89f7ddf08673a11fe4517e92e9dad6907b4af10235ea1