Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T16:00:13.103101Z
Paper Citation Record · LEDGER
Robust image classification with multi-modal large language models
As of 11 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2412.10353.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
22 of 22 outbound references displayed
- verified exact0
- verified fuzzy11
- unresolved11
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7c8f0814-7449-4a9f-af37-ed9a0d5a9160 · outbound
This paper cites Deep neural rejection against adver- sarial examples,.
Robust image classification with multi-modal large language models Deep neural rejection against adver- sarial examples,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:00:13.594571Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 84bb4307-1660-44c8-8125-eb2f712e35f7 · outbound
This paper cites Image-text Retrieval: A Survey on Recent Research and Development.
Robust image classification with multi-modal large language models Image-text Retrieval: A Survey on Recent Research and Development
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:00:13.040800Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60c69d0f-88ce-4201-a803-ab13abd4585b · outbound
This paper cites VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks.
Robust image classification with multi-modal large language models VisionLLaMA: A Unified LLaMA Backbone for Vision Tasks
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:00:13.052533Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0282e34-d82e-4341-a3d1-f10c78907782 · outbound
This paper cites On Evaluating Adversarial Robustness.
Robust image classification with multi-modal large language models On Evaluating Adversarial Robustness
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:00:13.059287Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3767c66-8306-4766-8642-51167b2a8c16 · outbound
This paper cites An analysis of single-layer networks in unsupervised feature learning,.
Robust image classification with multi-modal large language models An analysis of single-layer networks in unsupervised feature learning,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:00:13.515652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 86033ae1-2dec-4428-966e-2f14dc0b4370 · outbound
This paper cites Improving robustness using generated data,.
Robust image classification with multi-modal large language models Improving robustness using generated data,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:00:13.487170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation a80416b1-e043-4b94-a4d2-fdf6bd256249 · outbound
This paper cites Adversarial robustness: From self-supervised pre-training to fine-tuning,.
Robust image classification with multi-modal large language models Adversarial robustness: From self-supervised pre-training to fine-tuning,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:00:13.465157Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation dc5aa641-55d7-47b6-9234-ac34f1b736b7 · outbound
This paper cites Fusionbench: A comprehensive benchmark of deep model fusion,.
Robust image classification with multi-modal large language models Fusionbench: A comprehensive benchmark of deep model fusion,
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:00:13.088859Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2a39b60f-6d87-4c68-baa6-66f024898cab · outbound
This paper cites CLIPA-v2: Scaling CLIP Training with 81.1% Zero-shot ImageNet Accuracy within a \$10,000 Budget; An Extra \$4,000 Unlocks 81.8% Accuracy.
Robust image classification with multi-modal large language models CLIPA-v2: Scaling CLIP Training with 81.1% Zero-shot ImageNet Accuracy within a \$10,000 Budget; An Extra \$4,000 Unlocks 81.8% Accuracy
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:00:13.094737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dac85a6e-423f-41a1-9f33-3bb62ac9547f · outbound
This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.
Robust image classification with multi-modal large language models HuggingFace's Transformers: State-of-the-art Natural Language Processing
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:00:13.103101Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 28b0a0ed-11a8-435c-964a-785d74169182 · outbound
This paper cites Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories,.
Robust image classification with multi-modal large language models Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories,
Reference 2012
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:00:13.544798Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 460ee490-2aec-4398-95b3-c508bebe017f · outbound
This paper cites Towards evaluating the robustness of neural networks,.
Robust image classification with multi-modal large language models Towards evaluating the robustness of neural networks,
Reference 2014
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:00:13.675015Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 775bfcc7-9d62-4945-ab92-753b48169323 · outbound
This paper cites Towards Deep Learning Models Resistant to Adversarial Attacks.
Robust image classification with multi-modal large language models Towards Deep Learning Models Resistant to Adversarial Attacks
Reference 2015
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:00:13.002316Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aacb442f-a626-47a5-8a97-f93dd6079843 · outbound
This paper cites Safetynet: Detecting and rejecting adversarial examples robustly,.
Robust image classification with multi-modal large language models Safetynet: Detecting and rejecting adversarial examples robustly,
Reference 2017
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:00:13.613574Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 970b03d7-ed8a-40c4-9025-18827242f426 · outbound
This paper cites A Survey on Multimodal Large Language Models.
Robust image classification with multi-modal large language models A Survey on Multimodal Large Language Models
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:00:13.029837Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8f44f540-b9c8-4e4d-968c-17fa362054f7 · outbound
This paper cites Learning transferable visual models from natural language supervision,.
Robust image classification with multi-modal large language models Learning transferable visual models from natural language supervision,
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:00:13.566416Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 9ae533e3-f133-4521-a039-162509643c0a · outbound
This paper cites Evasion attacks against 8 machine learning at test time,.
Robust image classification with multi-modal large language models Evasion attacks against 8 machine learning at test time,
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:00:13.845651Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 6e033151-2dd2-4d03-ae19-fb02cfd3de9e · outbound
This paper cites Wild patterns: Ten years after the rise of adversarial machine learning,.
Robust image classification with multi-modal large language models Wild patterns: Ten years after the rise of adversarial machine learning,
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:00:13.633314Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 4f7405e4-7fd0-4d69-acee-cdab0767910a · outbound
This paper cites VisualBERT: A Simple and Performant Baseline for Vision and Language.
Robust image classification with multi-modal large language models VisualBERT: A Simple and Performant Baseline for Vision and Language
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:00:13.046276Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1edc973a-b1b2-42cc-89e4-663c6096cc65 · outbound
This paper cites A Survey of Vision-Language Pre-Trained Models.
Robust image classification with multi-modal large language models A Survey of Vision-Language Pre-Trained Models
Reference 2023
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:00:13.035351Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 93b7f950-d061-4b8f-a711-164aab124dc5 · outbound
This paper cites Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning.
Robust image classification with multi-modal large language models Deep k-Nearest Neighbors: Towards Confident, Interpretable and Robust Deep Learning
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:00:13.024471Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 10eed4f2-559b-4a97-a16a-7e7067022bdc · outbound
This paper cites Attackbench: Evaluating gradient-based attacks for adversarial examples,.
Robust image classification with multi-modal large language models Attackbench: Evaluating gradient-based attacks for adversarial examples,
Reference 2025
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T16:00:13.654844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Pith citing papers
No inbound Pith citation observations are available.