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Paper Citation Record · LEDGER

Can't See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.11184.

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

pith.paper-citation-record.v1
2502.11184 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 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:46:05.509434Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:37:14.908022Z

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 fa2b0a07-e2f1-446f-b993-eaa97fa149a0 · inbound

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection cites this paper.

EVADE-Bench: Multimodal Benchmark for Evaluating and Enhancing Evasive Content Detection Can't See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T14:46:05.509434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:46:05.509434Z digest=sha256:e6ae9b435c82647719c6a6e9bfb895c1e41b360845925dfee2e836127636f1db

Observation 221362e3-a590-4ac6-ab7b-423047a7b570 · inbound

SafeSteer: A Decoding-level Defense Mechanism for Multimodal Large Language Models cites this paper.

SafeSteer: A Decoding-level Defense Mechanism for Multimodal Large Language Models Can't See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-13T06:57:27.619943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-13T06:56:10.053418Z digest=sha256:7c4f6242b56ad6e2e5333a4141529deec89883146c84dd7504962912e17cbd25

Observation b4f1f69a-9084-4471-bb5f-4800494a7fd8 · inbound

Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics cites this paper.

Defending Jailbreak Attacks on Large Language Models via Manifold Trajectory Kinetics Can't See the Forest for the Trees: Benchmarking Multimodal Safety Awareness for Multimodal LLMs

Reference 59

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T17:37:14.909629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-27T21:55:48.561400Z digest=sha256:60d489b1fb24bc1be0a7cae224a38430d8b1c0f7a2108f86cf3871ea457419c1