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feat(indexing): sync CITATION.cff, codemeta.json & DOIs (10.5281/zenodo.21209973, hal-05847496v1)

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  1. CITATION.cff +87 -0
  2. README.md +98 -72
  3. codemeta.json +105 -0
CITATION.cff ADDED
@@ -0,0 +1,87 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ cff-version: 1.2.0
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+ message: "If you use POLYDIM, EinsofOS, or the PMTP Zero-Copy Stiefel Manifold IPC Architecture in your research or software, please cite it using the following metadata."
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+ title: "Dimension Is All You Need: Eradicating the 1D Worm Collapse via Native High-Dimensional Manifold Inter-Process Communication in S^{D-1}"
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+ type: software
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+ version: "1550.26505"
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+ date-released: "2026-11-01"
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+ doi: "10.5281/zenodo.21136742"
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+ url: "https://github.com/AGT1973/POLYDIM_EINSOF"
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+ repository-code: "https://github.com/AGT1973/POLYDIM_EINSOF"
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+ repository-artifact: "https://huggingface.co/Polydim-Einsof"
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+ license: "MIT"
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+ authors:
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+ - family-names: "García Traba"
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+ given-names: "Ariel H."
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+ orcid: "https://orcid.org/0009-0001-2787-6067"
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+ affiliation: "EinsofOS Independent Research / POLYDIM Research Initiative"
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+ email: "polydim.einsof@gmail.com"
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+ identifiers:
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+ - type: doi
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+ value: "10.5281/zenodo.21136742"
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+ description: "CERN / Zenodo Canonical Preprint & Software Archive (Primary DOI)"
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+ - type: doi
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+ value: "10.5281/zenodo.21209973"
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+ description: "CERN / Zenodo Extended Empirical & Theorem Verification Archive (Secondary DOI)"
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+ - type: other
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+ value: "hal-05847496v1"
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+ description: "CNRS / HAL Open Science Archive (France)"
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+ - type: url
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+ value: "https://osf.io/za3s7"
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+ description: "Center for Open Science / OSF Official Repository"
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+ - type: other
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+ value: "jxiv:7040"
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+ description: "JST / Jxiv Preprint Server (Japan, Submission ID 7040)"
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+ - type: url
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+ value: "https://huggingface.co/Polydim-Einsof"
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+ description: "Hugging Face Hub Official Organization & Stiefel Manifold LoRA Adapters"
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+ keywords:
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+ - "Riemannian Manifolds"
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+ - "Stiefel Manifold"
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+ - "High-Dimensional Computing"
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+ - "Inter-Process Communication"
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+ - "Shared Memory"
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+ - "Information Theory"
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+ - "Data Processing Inequality"
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+ - "Multi-Agent Systems"
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+ - "Zero-Copy IPC"
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+ - "Clifford Algebra"
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+ - "Vector AI"
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+ - "POLYDIM"
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+ - "EinsofOS"
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+ - "PMTP"
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+ abstract: >-
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+ Contemporary Artificial Intelligence architectures universally serialize dense high-dimensional
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+ neural representations (h in R^D, D >= 10^4) into flat 1D token sequences. Under Shannon's Data
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+ Processing Inequality (DPI), this 1D Worm Paradigm inflicts irreversible information collapse,
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+ injects 140 ms quadratic decoding latency per hop, and incurs massive financial costs. We introduce
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+ POLYDIM / EinsofOS: a native high-dimensional computing paradigm where autonomous agents communicate
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+ losslessly on continuous Riemannian manifolds (S^{D-1} and St(D, K)) via Zero-Copy Shared Memory
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+ Inter-Process Communication (PMTP V1550+ and PMTP-v4 Triadic Fusion). Across 1,731 formal theorems
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+ certified in PostgreSQL 16 and 26,505+ continuous physical cycles on host silicon, POLYDIM certifies
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+ a data-path control latency of 34.8 microseconds (229.885 GB/s nominal payload-equivalent throughput
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+ on host RAM, 139.78 GB/s sustained VRAM throughput on Dual Tesla T4 / Triton SRAM tiles), achieving
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+ a 4,023x speedup over text tokenization with $0.00 marginal token cost and Neumaier compensated
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+ orthonormality drift <= 10^{-15}.
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+ preferred-citation:
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+ type: article
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+ title: "Dimension Is All You Need: Eradicating the 1D Worm Collapse via Native High-Dimensional Manifold Inter-Process Communication in S^{D-1}"
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+ authors:
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+ - family-names: "García Traba"
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+ given-names: "Ariel H."
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+ orcid: "https://orcid.org/0009-0001-2787-6067"
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+ affiliation: "EinsofOS Independent Research / POLYDIM Research Initiative"
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+ year: 2026
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+ month: 11
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+ doi: "10.5281/zenodo.21136742"
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+ url: "https://doi.org/10.5281/zenodo.21136742"
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+ identifiers:
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+ - type: doi
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+ value: "10.5281/zenodo.21136742"
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+ - type: doi
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+ value: "10.5281/zenodo.21209973"
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+ - type: other
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+ value: "hal-05847496v1"
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+ - type: url
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+ value: "https://osf.io/za3s7"
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+ - type: other
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+ value: "jxiv:7040"
README.md CHANGED
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- ---
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- license: apache-2.0
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- tags:
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- - pmtp
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- - polydim
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- - stiefel-manifold
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- - turing-protocol
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- - zero-worm
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- - latent-reasoning
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- - fp64-precision
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- base_model: meta-llama/Llama-3.2-3B
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- pipeline_tag: feature-extraction
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- ---
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-
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- # llama3.2_3b_PMTP_polydim_einsof
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-
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- > **Initiative:** POLYDIM-EINSOF | EinsofOS Autonomous Research
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- > **Author:** Ariel García Traba (Independent Research / EinsofOS)
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- > **Protocol:** Alan Turing Mode (`turing_depth = 0..50`) & Stiefel Manifold Continuous Projection
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- > **Silicon Verification:** Exit Code 0 | Stiefel Orthogonality Defect: `1.11e-15`
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-
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- ---
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-
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- ## 1. Model Overview
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-
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- `llama3.2_3b_PMTP_polydim_einsof` is an open-weights model adapter certified under the **POLYDIM PMTP (Polydim Memory Transfer Protocol)** architecture. It projects hidden states continuously across the Stiefel manifold $\mathrm{St}(1024, 3072) \subset S^{1024-1}$ with zero 1D token serialization or string parsing bottlenecks.
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-
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- ### Silicon Latency & Parity Metrics
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- * **Latent Dimension Mapping:** $3072 \to 1024$
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- * **Max Orthogonality Defect (FP64):** `1.11e-15`
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- * **Turing Depth 1 Latency:** `16.92 ms`
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- * **Turing Depth 10 Latency:** `26.16 ms`
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- * **Neumaier Norm Error:** $\le 10^{-15}$
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- * **Tokens Consumed in Inter-Hop Reasoning:** **0 tokens** (pure binary float64 memory)
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-
36
- ---
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-
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- ## 2. Alan Turing Protocol Configuration
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-
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- This model natively exposes the multi-step continuous reasoning parameter `turing_depth` (aliases: `einsof_depth`, `turing`, `einsof`):
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-
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- | Turing Depth | Mode | Operational Behavior |
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- |:---:|---|---|
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- | `0` | `IDENTITY_BYPASS` | Direct zero-overhead passthrough. |
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- | `1` | `FAST_REFLEX` | Single isometric Stiefel projection step (16.92 ms). |
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- | `2 .. 20` | `RED_TEAM_DELIBERATION` | Iterative Riemannian contraction & adversarial self-critique. |
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- | `21 .. 50` | `DEEP_TURING_EXPLOSION` | High-depth formal theorem proving and anti-sycophancy verification. |
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-
49
- ---
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-
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- ## 3. Files Included in this Repository
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-
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- * `adapter_weights.safetensors`: IEEE-754 FP64 Stiefel projection matrix ($W$).
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- * `adapter_model.safetensors`: Binary mirror for standard Hugging Face integration.
55
- * `adapter_config.json`: Formal metadata, dimensions, manifold class, and mathematical invariants.
56
- * `Modelfile`: Ollama deployment definition with Turing system instructions and temperature calibration ($T=0.07$).
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-
58
- ---
59
-
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- ## 4. Citation & Attribution
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-
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- ```bibtex
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- @misc{garcia_traba_2026_polydim_turing,
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- author = {Garc\'ia Traba, Ariel},
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- title = {llama3.2_3b_PMTP_polydim_einsof: PMTP Stiefel Manifold Adapter under Alan Turing Protocol},
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- year = {2026},
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- publisher = {Hugging Face},
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- howpublished = {\url{https://huggingface.co/Polydim-Einsof/llama3.2_3b_PMTP_polydim_einsof}}
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- }
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- ```
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-
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- **License:** Apache License 2.0. Autonomous independent research.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ ---
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+ license: apache-2.0
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+ tags:
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+ - pmtp
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+ - polydim
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+ - stiefel-manifold
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+ - turing-protocol
8
+ - zero-worm
9
+ - latent-reasoning
10
+ - fp64-precision
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+ base_model: meta-llama/Llama-3.2-3B
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+ pipeline_tag: feature-extraction
13
+ ---
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+
15
+ # llama3.2_3b_PMTP_polydim_einsof
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+
17
+ > **Initiative:** POLYDIM-EINSOF | EinsofOS Autonomous Research
18
+ > **Author:** Ariel García Traba (Independent Research / EinsofOS)
19
+ > **Protocol:** Alan Turing Mode (`turing_depth = 0..50`) & Stiefel Manifold Continuous Projection
20
+ > **Silicon Verification:** Exit Code 0 | Stiefel Orthogonality Defect: `1.11e-15`
21
+
22
+ ---
23
+
24
+ ## 1. Model Overview
25
+
26
+ `llama3.2_3b_PMTP_polydim_einsof` is an open-weights model adapter certified under the **POLYDIM PMTP (Polydim Memory Transfer Protocol)** architecture. It projects hidden states continuously across the Stiefel manifold $\mathrm{St}(1024, 3072) \subset S^{1024-1}$ with zero 1D token serialization or string parsing bottlenecks.
27
+
28
+ ### Silicon Latency & Parity Metrics
29
+ * **Latent Dimension Mapping:** $3072 \to 1024$
30
+ * **Max Orthogonality Defect (FP64):** `1.11e-15`
31
+ * **Turing Depth 1 Latency:** `16.92 ms`
32
+ * **Turing Depth 10 Latency:** `26.16 ms`
33
+ * **Neumaier Norm Error:** $\le 10^{-15}$
34
+ * **Tokens Consumed in Inter-Hop Reasoning:** **0 tokens** (pure binary float64 memory)
35
+
36
+ ---
37
+
38
+ ## 2. Alan Turing Protocol Configuration
39
+
40
+ This model natively exposes the multi-step continuous reasoning parameter `turing_depth` (aliases: `einsof_depth`, `turing`, `einsof`):
41
+
42
+ | Turing Depth | Mode | Operational Behavior |
43
+ |:---:|---|---|
44
+ | `0` | `IDENTITY_BYPASS` | Direct zero-overhead passthrough. |
45
+ | `1` | `FAST_REFLEX` | Single isometric Stiefel projection step (16.92 ms). |
46
+ | `2 .. 20` | `RED_TEAM_DELIBERATION` | Iterative Riemannian contraction & adversarial self-critique. |
47
+ | `21 .. 50` | `DEEP_TURING_EXPLOSION` | High-depth formal theorem proving and anti-sycophancy verification. |
48
+
49
+ ---
50
+
51
+ ## 3. Files Included in this Repository
52
+
53
+ * `adapter_weights.safetensors`: IEEE-754 FP64 Stiefel projection matrix ($W$).
54
+ * `adapter_model.safetensors`: Binary mirror for standard Hugging Face integration.
55
+ * `adapter_config.json`: Formal metadata, dimensions, manifold class, and mathematical invariants.
56
+ * `Modelfile`: Ollama deployment definition with Turing system instructions and temperature calibration ($T=0.07$).
57
+
58
+ ---
59
+
60
+ ## 4. Citation & Attribution
61
+
62
+ ```bibtex
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+ @misc{garcia_traba_2026_polydim_turing,
64
+ author = {Garc\'ia Traba, Ariel},
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+ title = {llama3.2_3b_PMTP_polydim_einsof: PMTP Stiefel Manifold Adapter under Alan Turing Protocol},
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+ year = {2026},
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+ publisher = {Hugging Face},
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+ howpublished = {\url{https://huggingface.co/Polydim-Einsof/llama3.2_3b_PMTP_polydim_einsof}}
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+ }
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+ ```
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+
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+ **License:** Apache License 2.0. Autonomous independent research.
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+
74
+ ---
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+
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+ ## Global Scientific Indexing & Persistent Identifiers (CERN Zenodo / CNRS HAL / JST Jxiv / OSF / ORCID)
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+
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+ - **Author:** Ariel H. García Traba ([ORCID: 0009-0001-2787-6067](https://orcid.org/0009-0001-2787-6067))
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+ - **Affiliation:** EinsofOS Independent Research / POLYDIM Research Initiative
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+ - **CERN / Zenodo Primary DOI:** [10.5281/zenodo.21136742](https://doi.org/10.5281/zenodo.21136742)
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+ - **CERN / Zenodo Secondary DOI:** [10.5281/zenodo.21209973](https://doi.org/10.5281/zenodo.21209973)
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+ - **CNRS / HAL Open Science (France):** [`hal-05847496v1`](https://hal.science/hal-05847496v1)
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+ - **Center for Open Science (OSF):** [`https://osf.io/za3s7`](https://osf.io/za3s7)
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+ - **JST / Jxiv Preprint Server (Japan):** `Jxiv ID 7040`
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+ - **Canonical Papers & LaTeX Archive:** [`Polydim-Einsof/POLYDIM-EINSOF-Canonical-Papers-V1550`](https://huggingface.co/datasets/Polydim-Einsof/POLYDIM-EINSOF-Canonical-Papers-V1550)
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+
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+ ```bibtex
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+ @article{garciatraba2026polydim,
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+ title = {Dimension Is All You Need: Eradicating the 1D Worm Collapse via Native High-Dimensional Manifold Inter-Process Communication in S^{D-1}},
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+ author = {Garc{\'i}a Traba, Ariel H.},
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+ year = {2026},
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+ month = {nov},
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+ publisher = {Zenodo / CERN & HAL Open Science},
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+ doi = {10.5281/zenodo.21209973},
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+ url = {https://doi.org/10.5281/zenodo.21209973},
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+ note = {Primary DOI: 10.5281/zenodo.21136742; HAL ID: hal-05847496v1; OSF: https://osf.io/za3s7; Jxiv ID: 7040; ORCID: 0009-0001-2787-6067; Affiliation: EinsofOS Independent Research / POLYDIM Research Initiative}
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+ }
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+ ```
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+ "name": "POLYDIM / EinsofOS: Native High-Dimensional Stiefel Manifold IPC & Vector AI Architecture",
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+ "headline": "Dimension Is All You Need: Eradicating the 1D Worm Collapse via Native High-Dimensional Manifold Inter-Process Communication in S^{D-1}",
45
+ "version": "1550.26505",
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+ "datePublished": "2026-11-01",
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+ "dateCreated": "2026-10-01",
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+ "dateModified": "2026-11-01",
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+ "license": "https://spdx.org/licenses/MIT",
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+ "Riemannian Manifolds",
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91
+ "High-Dimensional Computing",
92
+ "Inter-Process Communication",
93
+ "Shared Memory",
94
+ "Information Theory",
95
+ "Data Processing Inequality",
96
+ "Multi-Agent Systems",
97
+ "Zero-Copy IPC",
98
+ "Clifford Algebra",
99
+ "Vector AI",
100
+ "POLYDIM",
101
+ "EinsofOS",
102
+ "PMTP"
103
+ ],
104
+ "description": "Contemporary Artificial Intelligence architectures universally serialize dense high-dimensional neural representations (h in R^D, D >= 10^4) into flat 1D token sequences. Under Shannon's Data Processing Inequality (DPI), this 1D Worm Paradigm inflicts irreversible information collapse, injects 140 ms quadratic decoding latency per hop, and incurs massive financial costs. POLYDIM / EinsofOS introduces a native high-dimensional computing paradigm where autonomous agents communicate losslessly on continuous Riemannian manifolds (S^{D-1} and St(D, K)) via Zero-Copy Shared Memory Inter-Process Communication (PMTP V1550+ and PMTP-v4 Triadic Fusion), achieving 34.8 microseconds control latency, 229.885 GB/s nominal payload-equivalent throughput on host RAM, 139.78 GB/s sustained VRAM throughput on Dual Tesla T4 / Triton SRAM tiles, and Neumaier compensated orthonormality drift <= 10^{-15}."
105
+ }