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7 changes: 4 additions & 3 deletions .github/workflows/research-log.yml
Original file line number Diff line number Diff line change
Expand Up @@ -21,7 +21,7 @@ jobs:
- name: 02. Identity Synthesis (Academic Alignment)
run: |
# Anchoring the repository activity to the Devanik21 verified identity
# This ensures the 270-repo graph correctly reflects the 8:30 AM IST contribution tiles
# This ensures the 188-repo graph correctly reflects the 8:30 AM IST contribution tiles
git config user.name "Devanik21"
git config user.email "devanik2005@gmail.com"

Expand All @@ -42,7 +42,8 @@ jobs:
echo "affiliation: NIT Agartala | Samsung Convergence Software Fellow (IISc)" >> $LOG_FILE
echo "timestamp_utc: $TIMESTAMP" >> $LOG_FILE
echo "timestamp_ist: $IST_TIME" >> $LOG_FILE
echo "repository_count: 190" >> $LOG_FILE
# TODO: Consider fetching the repository count dynamically via GitHub API instead of hardcoding.
echo "repository_count: 188" >> $LOG_FILE
echo "research_domains: 9+" >> $LOG_FILE
echo "determinism_index: Seed 42" >> $LOG_FILE
echo "workflow_path: .github/workflows/dev-log.yml" >> $LOG_FILE
Expand All @@ -56,7 +57,7 @@ jobs:
# SECTION II: ABSTRACT & ECOSYSTEM OVERVIEW
# ------------------------------------------------------------------
echo "## I. Ecosystem Abstract & Domain Sweep" >> $LOG_FILE
echo "This registry formally documents the deterministic state of the 190-repository AI Research Ecosystem. Our core objective is engineering high-reliability cognitive architectures grounded in first-principles physics and information theory." >> $LOG_FILE
echo "This registry formally documents the deterministic state of the 188-repository AI Research Ecosystem. Our core objective is engineering high-reliability cognitive architectures grounded in first-principles physics and information theory." >> $LOG_FILE
echo "" >> $LOG_FILE
echo "### Active Research Domains" >> $LOG_FILE
echo "1. **Metacognition & Cognitive Architecture** (causa-sui, Thermodynamic Mind)" >> $LOG_FILE
Expand Down
6 changes: 3 additions & 3 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@
[![Twitter](https://img.shields.io/badge/Twitter-@devanik2005-1DA1F2?style=for-the-badge&logo=twitter&logoColor=white)](https://x.com/devanik2005)
[![arXiv](https://img.shields.io/badge/arXiv-Research-b31b1b.svg?style=for-the-badge)](https://arxiv.org/abs/2412.20091)

![Total Repositories](https://img.shields.io/badge/Total_Repositories-192-4B0082?style=for-the-badge) <!-- TODO: Consider automating the update of this repository count to keep it dynamically current. -->
![Total Repositories](https://img.shields.io/badge/Total_Repositories-188-4B0082?style=for-the-badge) <!-- TODO: Consider automating the update of this repository count to keep it dynamically current. -->
![Research Areas](https://img.shields.io/badge/Research_Domains-9+-00CED1?style=for-the-badge)
![Status](https://img.shields.io/badge/Status-Active_Research-success?style=for-the-badge)

Expand Down Expand Up @@ -599,7 +599,7 @@ This portfolio represents a rigorous engineering effort in **distributed state e

### 📊 **Engineering Impact**

📈 **270 Active Repositories** <!-- TODO: Consider automating the update of this repository count to keep it dynamically current. -->
📈 **188 Active Repositories** <!-- TODO: Consider automating the update of this repository count to keep it dynamically current. -->
- Comprehensive exploration across 9 major AI domains
- 50+ production-ready applications deployed
- 20+ experimental architecture prototypes and research frameworks
Expand Down Expand Up @@ -775,7 +775,7 @@ Phase 4: Post-Biological Architectures (2029+)
- Interdisciplinary research at the intersection of physics, neuroscience, and ML

**What I Bring:**
- 270 repositories demonstrating breadth and depth across AI <!-- TODO: Consider automating the update of this repository count to keep it dynamically current. -->
- 188 repositories demonstrating breadth and depth across AI <!-- TODO: Consider automating the update of this repository count to keep it dynamically current. -->
- Proven track record of experimental architecture prototypes (Divine Monad, Recursive Hebbian Organism, AION)
- National-level recognition (ISRO Hackathon Winner, Samsung Fellowship)
- Strong mathematical foundations and implementation skills
Expand Down
46 changes: 23 additions & 23 deletions docs/ecosystem_monograph.md
Original file line number Diff line number Diff line change
Expand Up @@ -64,7 +64,7 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
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This typo fix from ehBmatrix to $S$-matrix is correct. However, this same fix is applied in multiple places throughout this file (e.g., lines 168, 269, 370, etc.). Since the frontmatter indicates this file is generated by the .github/workflows/dev-log.yml workflow, it would be more maintainable to correct the typo in the source template or script. This will prevent the error from recurring in future log entries.

$$S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle$$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

Expand Down Expand Up @@ -165,7 +165,7 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle$$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

Expand Down Expand Up @@ -266,7 +266,7 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle$$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

Expand Down Expand Up @@ -367,7 +367,7 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle$$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

Expand Down Expand Up @@ -468,7 +468,7 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle$$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

Expand Down Expand Up @@ -569,7 +569,7 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle$$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

Expand Down Expand Up @@ -670,7 +670,7 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle$$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

Expand Down Expand Up @@ -771,7 +771,7 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle$$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

Expand Down Expand Up @@ -872,7 +872,7 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle$$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

Expand Down Expand Up @@ -973,7 +973,7 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle$$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

Expand Down Expand Up @@ -1074,7 +1074,7 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle$$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

Expand Down Expand Up @@ -1175,7 +1175,7 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle$$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

Expand Down Expand Up @@ -1276,7 +1276,7 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle$$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

Expand Down Expand Up @@ -1377,7 +1377,7 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle$$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

Expand Down Expand Up @@ -1480,7 +1480,7 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$ S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle $$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

Expand Down Expand Up @@ -1581,8 +1581,8 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
2240 S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle 2240
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$ S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle $$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

## V. AION: Information-Theoretic Longevity
Expand Down Expand Up @@ -1682,8 +1682,8 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
2284 S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle 2284
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$ S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle $$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

## V. AION: Information-Theoretic Longevity
Expand Down Expand Up @@ -1783,8 +1783,8 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
2343 S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle 2343
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$ S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle $$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

## V. AION: Information-Theoretic Longevity
Expand Down Expand Up @@ -1884,8 +1884,8 @@ Counterfactual experience generation is monitored to ensure the latent space rem
We investigate the exponential memory decay inherent to SSM recurrence relations as a proxy for electron correlation $\propto e^{-\alpha r_{ij}}$.

#### Quantum Fisher Information Matrix (S-Matrix)
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the ehBmatrix formation remains non-singular:
2470 S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle 2470
Stochastic Reconfiguration (SR) optimization is verified via the Fubini-Study metric. We ensure the $S$-matrix formation remains non-singular:
$$ S_{ij} = \langle O_i O_j \rangle - \langle O_i \rangle \langle O_j \rangle $$
Targeting sub-mHa chemical accuracy across atomic benchmarks from Hydrogen to Neon.

## V. AION: Information-Theoretic Longevity
Expand Down