Research-Stack/4-Infrastructure
Brandon Schneider e3fc126824 ingest: comprehensive Erdős problems collection from external sources
Ingested 38 Erdős problems from Wikipedia and other sources into local research database.

Statistics:
- Total unsolved: 13
- Total solved: 19
- Total additional: 6
- Total problems: 38

Domain distribution:
- Graph Theory: 6
- Number Theory: 12
- Discrete Geometry: 2
- Additive Number Theory: 3
- Diophantine Equations: 3
- Combinatorics: 3
- Extremal Set Theory: 1
- Ramsey Theory: 1
- Random Graphs: 1
- Linear Algebra: 1
- Additive Combinatorics: 1
- Geometry: 1
- Unknown: 2

Unsolved conjectures include:
- Erdős–Gyárfás conjecture
- Erdős–Hajnal conjecture
- Erdős–Mollin–Walsh conjecture
- Erdős–Selfridge conjecture
- Erdős–Straus conjecture
- Erdős conjecture on arithmetic progressions
- Erdős–Szekeres conjecture
- Erdős–Turán conjecture on additive bases
- Erdős conjecture on quickly growing integer sequences
- Erdős–Oler conjecture on circle packing
- Minimum overlap problem
- Erdős conjecture on ternary expansion of 2^n
- Erdős–Moser equation

Solved conjectures include:
- Erdős–Faber–Lovász conjecture (2021)
- Erdős sumset conjecture (2018)
- Burr–Erdős conjecture (2015)
- Erdős conjecture on equitable colorings (1970)
- Erdős–Lovász conjecture (1974)
- Erdős–Heilbronn conjecture (1994)
- Erdős–Graham conjecture (2000)
- Erdős–Stewart conjecture (2001)
- Cameron–Erdős conjecture (2003-2004)
- Erdős–Menger conjecture (2009)
- Erdős distinct distances problem (2010, partially)
- Erdős–Rankin conjecture (2014)
- Erdős discrepancy problem (2015)
- Erdős squarefree conjecture (1996)
- Erdős primitive set conjecture (2022)
- Erdős–Sauer problem
- Erdős problem 728 (2026, AI-assisted)
- Erdős problem 347 (2026)
- Erdős problem 369 (2026)

Additional problems include:
- Erdős–Ko–Rado theorem
- Erdős–Ginzburg–Ziv theorem
- Erdős–Stone theorem
- Erdős–Rényi random graph model
- Erdős Hadamard conjecture
- Erdős–Moser problem

Saved to: shared-data/data/germane/research/erdos_problems_comprehensive_v1.json
Updated research ingestion index.
2026-05-08 14:50:03 -05:00
..
bin initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00
config initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00
drivers initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00
exploit-infra/CATEGORY/TSM initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00
gpu initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00
hardware collapse: prover orchestration layers, FAMM verilator harness, swarm topological prober, spec sheets, virtual FPGA system tests, merge conflict resolution 2026-05-06 23:42:01 -05:00
infra collapse: prover orchestration layers, FAMM verilator harness, swarm topological prober, spec sheets, virtual FPGA system tests, merge conflict resolution 2026-05-06 23:42:01 -05:00
nano-kernel initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00
NoDupeLabs initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00
packaging collapse: prover orchestration layers, FAMM verilator harness, swarm topological prober, spec sheets, virtual FPGA system tests, merge conflict resolution 2026-05-06 23:42:01 -05:00
servo-fetch initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00
shim ingest: comprehensive Erdős problems collection from external sources 2026-05-08 14:50:03 -05:00
shims initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00
surface initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00
README.md initial: sovereign research stack (consolidated, weightless, and lfs-optimized) 2026-05-04 18:11:36 -05:00

4-Infrastructure

Purpose: Python shims, GPU duty assignment, cloud storage, web interaction, hardware designs, drivers.

Depends on: 0 through 3

Contents (Target)

Source Destination
infra/ 4-Infrastructure/infra/
hardware/ 4-Infrastructure/hardware/
drivers/ 4-Infrastructure/drivers/
config/ 4-Infrastructure/config/

Components

  • Lean Shim — Lean ↔ Python bidirectional interface
  • ENE Shim — ENE node management from Python
  • GPU Duty — GPU translation surface duty assignment
  • Cloud Storage — Rclone topological storage (Google Drive)
  • Web Surface — BrowserPool, distributed crawl

GPU Status

  • Device: NVIDIA GeForce RTX 4070
  • Memory: 12.3GB total, ~10GB available
  • CUDA: 13.0