Pith. sign in

Paper Citation Record · LEDGER

Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2412.16555.

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

pith.paper-citation-record.v1
2412.16555 v3

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 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:03:37.532536Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d1e98e82-0b23-4a76-a387-c9303797322c · inbound

Implicit Jailbreak Attacks via Cross-Modal Information Concealment on Vision-Language Models cites this paper.

Implicit Jailbreak Attacks via Cross-Modal Information Concealment on Vision-Language Models Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T15:03:37.532536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:03:37.532536Z digest=sha256:29482c8e0328ece40976dd853cb322e82c956af8e81e967616860bd7205f976c

Observation 41853fe8-0627-4958-8205-c12fbd969cf4 · inbound

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models cites this paper.

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-07T04:08:49.204476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:08:49.204476Z digest=sha256:48714b6c98e54fce293350be5da6d533f84a3de8cec796ce8748c11e65e2ab10

Observation 0dca4246-f6e8-4647-8161-e6b45f83d222 · inbound

Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces cites this paper.

Characterize Then Distill: Mechanistic Reasoning in Large Output Spaces Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models

Reference 144

Resolution
verified exact
arxiv_id, observed 2026-06-27T22:31:21.590883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T22:22:52.690010Z digest=sha256:f4faf61da8dc77ee3e99fbf844583dd11e37271e82f1e1dd623f2b652b3a07c2