Paper Citation Record · LEDGER

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models

As of 18 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2508.17675.

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

pith.paper-citation-record.v1
2508.17675 v3

Coverage vector

measured 39 of 39 reference resolution

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One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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External citation measurements

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Outbound references

Observation 4f7c5663-5d65-4b62-8d16-d5c5b2ad5f40 · outbound

This paper cites Language models are few-shot learners,.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Language models are few-shot learners,

Reference 1

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This paper cites On the Opportunities and Risks of Foundation Models.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models On the Opportunities and Risks of Foundation Models

Reference 2

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This paper cites Sparks of Artificial General Intelligence: Early experiments with GPT-4.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Sparks of Artificial General Intelligence: Early experiments with GPT-4

Reference 3

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models LLaMA: Open and Efficient Foundation Language Models

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This paper cites Soull- mate: An application enhancing diverse mental health support with adaptive llms, prompt engineering, and rag techniques,.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Soull- mate: An application enhancing diverse mental health support with adaptive llms, prompt engineering, and rag techniques,

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This paper cites Soullmate: An adaptive llm-driven system for advanced mental health support and assessment, based on a systematic application survey,.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Soullmate: An adaptive llm-driven system for advanced mental health support and assessment, based on a systematic application survey,

Reference 6

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This paper cites A layered multi-expert framework for long-context mental health assessments,.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models A layered multi-expert framework for long-context mental health assessments,

Reference 7

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This paper cites Advancing mental health pre-screening: A new custom gpt for psychological distress assessment,.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Advancing mental health pre-screening: A new custom gpt for psychological distress assessment,

Reference 8

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This paper cites Chatdoctor: A medical chat model fine-tuned on a large language model meta-ai (llama) using medical domain knowledge,.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Chatdoctor: A medical chat model fine-tuned on a large language model meta-ai (llama) using medical domain knowledge,

Reference 9

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This paper cites LLM Online Spatial-temporal Signal Reconstruction Under Noise.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models LLM Online Spatial-temporal Signal Reconstruction Under Noise

Reference 10

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Observation 2f385771-649d-49b1-87a1-bb4bae7233d6 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Explaining and Harnessing Adversarial Examples

Reference 11

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This paper cites BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain

Reference 12

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This paper cites Membership inference attacks against machine learning models,.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Membership inference attacks against machine learning models,

Reference 13

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Stealing machine learning models via prediction APIs,

Reference 14

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Observation 8cbe3130-ceb0-4d7c-9652-b11aee5ee1e3 · outbound

This paper cites Weight Poisoning Attacks on Pre-trained Models.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Weight Poisoning Attacks on Pre-trained Models

Reference 15

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This paper cites Huynh and J.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Huynh and J

Reference 16

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Observation a6d9bb20-2ee5-402e-827f-9301e016959d · outbound

This paper cites Poisonprompt: Backdoor attack on prompt- based large language models,.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Poisonprompt: Backdoor attack on prompt- based large language models,

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This paper cites Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training.

Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Sleeper Agents: Training Deceptive LLMs that Persist Through Safety Training

Reference 18

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Membership inference attacks on machine learning: a survey,

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models A survey on membership inference attacks and defenses in machine learning,

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models I know what you trained last summer: A survey on stealing machine learning models and defences,

Reference 21

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Sok: All you need to know about on-device ml model extraction-the gap between research and practice,

Reference 22

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Intriguing properties of neural networks

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Robust physical-world attacks on deep learning visual classification,

Reference 24

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models DARTS: Deceiving Autonomous Cars with Toxic Signs

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Trojaning attack on neural networks,

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models The secret sharer: Evaluating and testing unintended memorization in neural networks,

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Scalable Extraction of Training Data from (Production) Language Models

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models A survey on evaluation of large language models,

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Universal and Transferable Adversarial Attacks on Aligned Language Models

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Adversarial Training for Large Neural Language Models

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Jailbroken: How does llm safety training fail?

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Jailbreaking ChatGPT via Prompt Engineering: An Empirical Study

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Not what you’ve signed up for: Compromising real-world llm-integrated applications with indirect prompt injection,

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Online display ad- vertising markets: A literature review and future directions,

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models The dark alleys of madison avenue: Understanding malicious advertisements,

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models How to backdoor federated learning,

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Towards Synthesizing Normative Data for Cognitive Assessments Using Generative Multimodal Large Language Models Badnl: Backdoor attacks against nlp models with semantic- preserving improvements,

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Pith citing papers

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