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Paper Citation Record · LEDGER

On the Robustness of Large Multimodal Models Against Image Adversarial Attacks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2312.03777.

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

pith.paper-citation-record.v1
2312.03777 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:54:43.237746Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T04:10:59.846184Z

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 ab267661-edec-4b18-867d-7e5e639b23d1 · inbound

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

Invisible Injections: Exploiting Vision-Language Models Through Steganographic Prompt Embedding On the Robustness of Large Multimodal Models Against Image Adversarial Attacks

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-06T11:54:43.237746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:54:43.237746Z digest=sha256:2f76eb642516c81a7043954557833c593d83c751c442ebae5175aa5cac4860c5

Observation 044beea4-4935-4c8a-abf0-f7717877377d · inbound

Hard to Read, Easy to Jailbreak: How Visual Degradation Bypasses MLLM Safety Alignment cites this paper.

Hard to Read, Easy to Jailbreak: How Visual Degradation Bypasses MLLM Safety Alignment On the Robustness of Large Multimodal Models Against Image Adversarial Attacks

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:10:59.855092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-11T01:53:46.652759Z digest=sha256:0b3ef9aa330bd638d91009ee2c94fa649f7818f15011a447c65a79dc063ef9dd