Pith. sign in

arXiv preprint arXiv:2402.17879 , year =

6 Pith papers cite this work. Polarity classification is still indexing.

6 Pith papers citing it

citation-role summary

background 1

citation-polarity summary

years

2026 5 2025 1

verdicts

UNVERDICTED 6

roles

background 1

polarities

background 1

representative citing papers

$\text{DT}^2$: Decision-Targeted Digital Twins

cs.LG · 2026-06-24 · unverdicted · novelty 7.0

DT² trains digital twins to preserve pairwise policy rankings from fitted Q-evaluation on offline data rather than minimizing one-step transition errors, improving policy ranking and reducing decision regret.

VESTA: Visual Exploration with Statistical Tool Agents

cs.AI · 2026-05-29 · unverdicted · novelty 6.0

VESTA introduces dynamic tool creation for VLMs that outperforms static-tool and no-tool baselines on distribution fitting, time series, and astronomy tasks in the new DAWN benchmark.

RefineStat: Efficient Exploration for Probabilistic Program Synthesis

cs.LG · 2025-09-01 · unverdicted · novelty 6.0

RefineStat improves small language model performance on probabilistic program synthesis by adding semantic constraint enforcement and diagnostic-aware refinement, producing syntactically and statistically reliable code that often matches larger models.

The Agentification of Scientific Research: A Physicist's Perspective

cs.AI · 2026-04-16 · unverdicted · novelty 3.0

AI will evolve from a research tool into a collaborator, fundamentally reshaping scientific collaboration, discovery, publishing, and evaluation while requiring continuous learning and idea diversity for original contributions.

citing papers explorer

Showing 6 of 6 citing papers.

  • $\text{DT}^2$: Decision-Targeted Digital Twins cs.LG · 2026-06-24 · unverdicted · none · ref 123

    DT² trains digital twins to preserve pairwise policy rankings from fitted Q-evaluation on offline data rather than minimizing one-step transition errors, improving policy ranking and reducing decision regret.

  • VESTA: Visual Exploration with Statistical Tool Agents cs.AI · 2026-05-29 · unverdicted · none · ref 27

    VESTA introduces dynamic tool creation for VLMs that outperforms static-tool and no-tool baselines on distribution fitting, time series, and astronomy tasks in the new DAWN benchmark.

  • STRIDE: A Self-Reflective Agent Framework for Reliable Automatic Equation Discovery cs.AI · 2026-05-18 · unverdicted · none · ref 47

    STRIDE is a self-reflective agent framework that improves accuracy, OOD robustness, and structural recovery in LLM-based symbolic regression by integrating generation, evaluation, repair, and diversity-preserving memory.

  • RefineStat: Efficient Exploration for Probabilistic Program Synthesis cs.LG · 2025-09-01 · unverdicted · none · ref 28

    RefineStat improves small language model performance on probabilistic program synthesis by adding semantic constraint enforcement and diagnostic-aware refinement, producing syntactically and statistically reliable code that often matches larger models.

  • Agentic Publication Protocol: An Attempt to Modernize Scientific Publication cs.DL · 2026-06-15 · unverdicted · none · ref 14

    Introduces the Agentic Publication Protocol (APP) as a repository-based standard for publishing papers together with reproducibility artifacts and agent instructions.

  • The Agentification of Scientific Research: A Physicist's Perspective cs.AI · 2026-04-16 · unverdicted · none · ref 4

    AI will evolve from a research tool into a collaborator, fundamentally reshaping scientific collaboration, discovery, publishing, and evaluation while requiring continuous learning and idea diversity for original contributions.