arXiv (All)
open access
Pre-registered tests of solid-state-physics-inspired LLM compression: a cluster-level negative result at small-language-model scale
We report a three-month autonomous research-agent program testing five solid-state-physics-inspired compression mappings on pretrained language models, with predictions committed to git before any pilot data and a 3-sigma gate deciding PASS or SHELVE. The common anchor -- area-law / Kohn-nearsighted
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Materials science in the era of large language models: a perspective#1041459
- Can Coding Agents Reproduce Findings in Computational Materials Science?#821855
- Overview of the NLPCC 2026 Shared Task 11: Agent-Based Experiment Reproduction from Scientific Papers#998670
- Evaluating a 4B open-weights local LLM for agentic DFT workflows: a literature reproducibility audit#798301
- Evaluating a 4B open-weights local LLM for agentic DFT workflows: a literature reproducibility audit#796888
Record · ID 1119365
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive