arXiv (OAI Expanded)
open access
Physical Kernel: Structured Visual Latents for Dark Manipulation
We study dark manipulation: after a brief lit Write encodes z0 = Enc(rgb), a policy pi(z) and open-loop dynamics f(z,a) complete contact-rich skills without further pixels (dark_f). On ManiSkill StackCube (n=160; seed packs 0/1000), dark_f attains 68.1% stacked on the five-rung chain (near_A -> gras
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
- Nuclear magnetic resonance dark-matter searches are sensitive to dark photons and the axion-photon coupling#612284
- The Asperian Design#713033
- esQueranto: Differentiable Structured Quantum Light for Automated Scientific Discovery#1155685
- Learning Vision-Based Agile Gap Traversal: Differentiable Simulation with a Warm-Started Critic#1105255
- Keeping the photon in the dark: Enabling quantum dot dark state control by chirped pulses and magnetic fields.#165786
Record · ID 1071051
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