Paper Citation Record · LEDGER

How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2311.16101.

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

pith.paper-citation-record.v1
2311.16101 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:28:32.687691Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T22:30:23.249867Z

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 827bad60-ca14-4a9e-ad10-4911386eaf80 · inbound

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning cites this paper.

Aligning Modalities in Vision Large Language Models via Preference Fine-tuning How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 176

Resolution: verified exact; arxiv_id, observed 2026-05-17T10:58:53.471175Z

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.

Observation 94f13af7-92c4-41cb-a373-51555c9858d8 · inbound

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs cites this paper.

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 130

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:05:03.754666Z

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.

Observation d1611879-a4cb-4d9c-8bf9-d70238c93b76 · inbound

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning cites this paper.

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 95

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T07:51:13.080598Z

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.

Observation ca6e5ab2-adfa-469a-988e-4521c5096fdb · inbound

Spot Risks Before Speaking! Unraveling Safety Attention Heads in Large Vision-Language Models cites this paper.

Spot Risks Before Speaking! Unraveling Safety Attention Heads in Large Vision-Language Models How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-10T22:28:32.687691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40e8c8b3-92f1-475e-a9a8-ae3d45c4b630 · inbound

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives cites this paper.

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-10T21:44:55.952096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93b7c59c-a23f-4c39-8500-3867b5c5e602 · inbound

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models cites this paper.

Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 122

Resolution: unresolved; no resolver link, observed 2026-08-10T18:04:34.480960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a058e217-c823-40c3-8f3d-92fbd41a2206 · 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 Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T19:45:18.754300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3ba0300-05e8-43ea-a7e6-2f2c36a0b7ca · inbound

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models cites this paper.

Retrieval Visual Contrastive Decoding to Mitigate Object Hallucinations in Large Vision-Language Models How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:57:07.419635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf22a302-1e01-4e57-b838-dfdc96986a09 · inbound

Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment cites this paper.

Adversarial Attacks against Closed-Source MLLMs via Feature Optimal Alignment How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:55.414755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1567cb64-eba7-4cfd-a546-41f62aa51bc2 · inbound

D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples cites this paper.

D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T13:23:11.230813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 448ccc0f-a26a-4c91-ab4a-9b4750d221e9 · inbound

MLA-Trust: Benchmarking Trustworthiness of Multimodal LLM Agents in GUI Environments cites this paper.

MLA-Trust: Benchmarking Trustworthiness of Multimodal LLM Agents in GUI Environments How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T11:42:33.433505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92032bf7-2422-4d67-8b64-828035486beb · inbound

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs cites this paper.

The Scales of Justitia: A Comprehensive Survey on Safety Evaluation of LLMs How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 210

Resolution: unresolved; no resolver link, observed 2026-08-07T10:17:27.240375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ed55307c-ca35-43ce-8faf-54be1420f9b4 · inbound

One Object, Multiple Lies: A Benchmark for Cross-task Adversarial Attack on Unified Vision-Language Models cites this paper.

One Object, Multiple Lies: A Benchmark for Cross-task Adversarial Attack on Unified Vision-Language Models How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T18:40:55.324196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b049805a-607b-4e8f-b383-367b4963bad0 · inbound

OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models cites this paper.

OutSafe-Bench: A Benchmark for Multimodal Offensive Content Detection in Large Language Models How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 53

Resolution: verified exact; arxiv_id, observed 2026-05-17T22:30:23.252260Z

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.

Observation bdf9c0a4-a820-4468-9c70-e0f4b29403ba · inbound

Twins: Learn to Predict Unified Representations with Focal Loss cites this paper.

Twins: Learn to Predict Unified Representations with Focal Loss How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 289

Resolution: unresolved; no resolver link, observed 2026-08-01T04:30:12.171419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation af48c296-9a76-4654-be1d-b1b0e5752f51 · inbound

Two Sides of the Same Coin: Co-Evolving Search for Cross-Task Attacks on Vision-Language Models cites this paper.

Two Sides of the Same Coin: Co-Evolving Search for Cross-Task Attacks on Vision-Language Models How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T13:51:18.171740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cc8404a-8f16-4ec7-8f39-8bc631564e22 · inbound

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis cites this paper.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T17:13:25.940793Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd14ce9a-e180-4116-890f-78fce2594889 · inbound

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis cites this paper.

PRISM: Priority-aware Rubric Internalization via Structured Multimodal Data Synthesis How Many Unicorns Are in This Image? A Safety Evaluation Benchmark for Vision LLMs

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T04:31:25.704790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.