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Paper Citation Record · LEDGER

How Does Vision-Language Adaptation Impact the Safety of Vision Language Models?

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.07571.

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

pith.paper-citation-record.v1
2410.07571 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 2026-08-23T06:30:58.430688+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:24:49.624109Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-15T14:24:50.594188Z

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 7743d721-9304-48ca-b88e-04af2c6762ca · inbound

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations cites this paper.

A Survey of Safety on Large Vision-Language Models: Attacks, Defenses and Evaluations How Does Vision-Language Adaptation Impact the Safety of Vision Language Models?

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T19:45:18.519453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:45:18.519453Z digest=sha256:6ea6fbfda9c1303c3626244e8a71baa36a20889ed8c67999074e4be34ce31859

Observation e39343c4-d2c4-4f4e-bb38-21f0be350dea · inbound

Visual Token Compression Enhances Robustness of MLLMs cites this paper.

Visual Token Compression Enhances Robustness of MLLMs How Does Vision-Language Adaptation Impact the Safety of Vision Language Models?

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-01T13:10:37.382486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T13:10:37.382486Z digest=sha256:abd0a6f329095bc76c417f04b595f9b61a57bd206e95cab865f7393a3f59dca0

Observation b9bf0e8c-3aaa-4677-8afe-b2c4d7fd2db9 · inbound

SafeCap: Improving LVLM Safety with Image Captioning Reinforcement Learning cites this paper.

SafeCap: Improving LVLM Safety with Image Captioning Reinforcement Learning How Does Vision-Language Adaptation Impact the Safety of Vision Language Models?

Reference 67

Resolution
verified exact
local_arxiv, observed 2026-08-15T14:24:50.599930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T14:24:49.624109Z digest=sha256:4ccbee331c6f5dbacc68e32a6078a19f485cc64ff8dc4d4446574fd8e80ec263