Supply-Chain Trust papers, 2023–2026
Model supply chain
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 91 papers are tagged with this topic.
Key findings
- Supply-Chain Trust went from 9 papers in 2023 to 41 in 2026, roughly 4.6x in three years.
- NeurIPS publishes the most Supply-Chain Trust work: 35 papers from 2023 to 2026, 38% of the four-venue total.
- The fastest-growing overlap is with Simulation for Driving: papers tagged with both rose from 1 in 2023 to 5 in 2026.
- Among the 5 topics under Security and Trust, it ranks #5 by 2026 paper count; the fastest grower in the group, Watermarking, is up 9.3x versus 4.6x here.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 5 | 3 | 1 | 0 | 9 |
| 2024 | 3 | 5 | 8 | 5 | 21 |
| 2025 | 8 | 6 | 5 | 1 | 20 |
| 2026 | 19 | 8 | 7 | 7 | 41 |
Representative papers
Spread across years and venues so every edition shows up
- NeurIPS 2026Can We Trust Item Response Theory for AI Evaluation?
- ICML 2026Who can we trust? LLM-as-a-jury for Comparative Assessment
- ICLR 2026Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
- CVPR 2026Trust-calibrated Collaborative Learning for Long-Tailed Visual Recognition
- NeurIPS 2025Chain-of-Model Learning for Language Model
- ICML 2025Navigating Conflicting Views: Harnessing Trust for Learning
- ICLR 2025Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
- CVPR 2025Interleaved-Modal Chain-of-Thought
- NeurIPS 2024Chain-of-Thought Unfaithfulness as Disguised Accuracy
- ICML 2024Implicit meta-learning may lead language models to trust more reliable sources
- ICLR 2024Chain of Log-Concave Markov Chains
- CVPR 2024CoG-DQA: Chain-of-Guiding Learning with Large Language Models for Diagram Question Answering
- NeurIPS 2023Supply-Side Equilibria in Recommender Systems
- ICML 2023Synthetic Prompting: Generating Chain-of-Thought Demonstrations for Large Language Models
- ICLR 2023Rethinking skip connection model as a learnable Markov chain
- NeurIPS 2026From Infrastructure to Interface, the AI Value Chain Drives LLM Homogenization
- ICML 2026Covariance estimation using Markov chain Monte Carlo
- ICLR 2026Output Supervision Can Obfuscate the Chain of Thought
- CVPR 2026Cut to the Chase Training-free Multimodal Summarization via Chain-of-Events
- NeurIPS 2025You Can Trust Your Clustering Model: A Parameter-free Self-Boosting Plug-in for Deep Clustering
All Supply-Chain Trust papers
22 papers, page 1 of 1
- ICLR 2026Emergence of Superposition: Unveiling the Training Dynamics of Chain of Continuous Thought
- ICLR 2026Hey, That's My Model! Introducing Chain & Hash, An LLM Fingerprinting Technique
- ICLR 2026Hidden Patterns in Chain-of-Thought Reasoning
- ICLR 2026In Agents We Trust, but Who Do Agents Trust? Latent Preferences Steer LLM Generations
- ICLR 2026Long Chain-of-Thought Reasoning Across Languages
- ICLR 2026Output Supervision Can Obfuscate the Chain of Thought
- ICLR 2026Pushing on Multilingual Reasoning Models with Language-Mixed Chain-of-Thought
- ICLR 2026Scalable Chain of Thoughts via Elastic Reasoning
- ICLR 2025Chain-of-Thought Provably Enables Learning the (Otherwise) Unlearnable
- ICLR 2025CoTFormer: A Chain of Thought Driven Architecture with Budget-Adaptive Computation Cost at Inference
- ICLR 2025Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models
- ICLR 2025More RLHF, More Trust? On The Impact of Preference Alignment On Trustworthiness
- ICLR 2025Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo
- ICLR 2025Transformers Provably Solve Parity Efficiently with Chain of Thought
- ICLR 2024BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
- ICLR 2024Chain of Log-Concave Markov Chains
- ICLR 2024Chain of Thought Empowers Transformers to Solve Inherently Serial Problems
- ICLR 2024Chain-of-Experts: When LLMs Meet Complex Operations Research Problems
- ICLR 2024The Expressive Power of Transformers with Chain of Thought
- ICLR 2023Automatic Chain of Thought Prompting in Large Language Models
- ICLR 2023Language models are multilingual chain-of-thought reasoners
- ICLR 2023Rethinking skip connection model as a learnable Markov chain
Ask about this trend from Claude or Cursor
Connect the Paperlist MCP and your assistant can pull the numbers on this page while you draft a survey, pick a direction or plan a submission: papers per year and venue, growth, the fastest-rising sub-themes and representative papers, shaped around your question.
Copy this prompt into your assistant
Use paperlist to show how Supply-Chain Trust papers grew at NeurIPS from 2023 to 2026, and which year jumped the most.
Tool the assistant calls: get_topic_stats {"topic": "supply-chain-trust"}
Set up Paperlist MCP in two minutes (Claude Code, Cursor, Codex, ChatGPT)
FAQ
- How many Supply-Chain Trust papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?
- 91 in total: 9 in 2023, 21 in 2024, 20 in 2025, 41 in 2026.
- How many Supply-Chain Trust papers are at NeurIPS 2026?
- NeurIPS 2026 has 19 Supply-Chain Trust papers, versus 8 the year before.
- How many Supply-Chain Trust papers are at ICLR 2026?
- ICLR 2026 has 8 Supply-Chain Trust papers, versus 6 the year before.
- How many Supply-Chain Trust papers are at ICML 2026?
- ICML 2026 has 7 Supply-Chain Trust papers, versus 5 the year before.
- How many Supply-Chain Trust papers are at CVPR 2026?
- CVPR 2026 has 7 Supply-Chain Trust papers, versus 1 the year before.
- Which conference publishes the most Supply-Chain Trust papers?
- NeurIPS, with 35 papers from 2023 to 2026.