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110 changes: 110 additions & 0 deletions PHASE5D_HUGGINGFACE_PAPER_PREP_SNAPSHOT.md
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# Phase 5D Hugging Face Paper Preparation Snapshot

## 1. Scope Accomplished

Created preparation materials for later arXiv and Hugging Face publication of the `sparkctl` project.

Branch:

```text
paper-hf-prep
```

Created files:

```text
paper/sparkctl-paper.md
paper/related-work-notes.md
huggingface/README-space.md
huggingface/README-dataset.md
PHASE5D_HUGGINGFACE_PAPER_PREP_SNAPSHOT.md
```

## 2. Paper Draft

`paper/sparkctl-paper.md` defines a short technical project report with:

- abstract
- introduction
- motivation
- system overview
- package core
- schema sidecar
- operational context layer
- sparkctl command surface
- validation scope
- limitations
- Hugging Face publication plan
- arXiv metadata draft
- Hugging Face README snippet

## 3. Hugging Face Preparation

Prepared two Hugging Face README templates:

```text
huggingface/README-space.md
huggingface/README-dataset.md
```

Recommended future Hugging Face repos:

```text
ProfRandom92/sparkctl-demo
ProfRandom92/sparkctl-context-artifacts
```

Paper Page placeholder:

```text
https://huggingface.co/papers/TODO
```

This must be replaced after arXiv publication or HF paper indexing.

## 4. Research Notes

`paper/related-work-notes.md` records candidate topic clusters and Hugging Face paper-search starting points for manual review.

Formal bibliography creation was not completed in this phase. Candidate metadata must be manually verified before arXiv submission.

## 5. Claim Hygiene Result

Prepared text avoids:

- official SPARK compatibility claims
- EU AI Act compliance claims
- fully deterministic claims
- 100% safe claims
- no-risk claims

Approved wording retained:

- Offline behavior was deterministic in the validated test scope.
- Configured leak checks passed in the validated scope.
- No blocking risks found in the validated scope.

## 6. Validation

Documentation-only change. No Rust source code, schemas, examples, artifacts, or cargo files were modified.

No local cargo validation was run from the connector context.

## 7. Known Limitations

- arXiv upload was not performed.
- Hugging Face Space/Dataset repos were not created from this connector context.
- Paper Page cannot be finalized until an arXiv identifier or indexed paper page exists.
- Related-work citations require manual metadata verification.

## 8. Next

Recommended next actions:

1. Review `paper/sparkctl-paper.md`.
2. Convert Markdown paper to LaTeX or arXiv-compatible PDF.
3. Submit to arXiv if desired.
4. Create Hugging Face Space `ProfRandom92/sparkctl-demo`.
5. Create Hugging Face Dataset `ProfRandom92/sparkctl-context-artifacts` if artifacts should be hosted.
6. Replace `TODO` paper links after arXiv/HF indexing.
7. Open or merge the `paper-hf-prep` branch after review.
100 changes: 100 additions & 0 deletions huggingface/DEPLOY_TO_HF.md
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# Deploy to Hugging Face

The Hugging Face connector is authenticated as `Profrandom`, but HF Jobs upload failed because the account currently has insufficient prepaid credits. Use this file to deploy manually or from a local shell.

## Target repos

```text
https://huggingface.co/spaces/Profrandom/sparkctl-demo
https://huggingface.co/datasets/Profrandom/sparkctl-context-artifacts
```

## Option A — Hugging Face web UI

1. Create a new Space:
- Owner: `Profrandom`
- Name: `sparkctl-demo`
- SDK: `Gradio`
- Visibility: public
- License: MIT
2. Upload the contents of:

```text
huggingface/space/
```

3. Create a new Dataset:
- Owner: `Profrandom`
- Name: `sparkctl-context-artifacts`
- Visibility: public
- License: MIT
4. Upload:

```text
huggingface/dataset/README.md
```

5. Add reviewed artifacts only after confirming they contain no secrets or private trace data.

## Option B — local CLI

Install dependencies:

```bash
pip install -U huggingface_hub
huggingface-cli login
```

Create repos:

```bash
python - <<'PY'
from huggingface_hub import create_repo
create_repo('Profrandom/sparkctl-demo', repo_type='space', space_sdk='gradio', exist_ok=True, private=False)
create_repo('Profrandom/sparkctl-context-artifacts', repo_type='dataset', exist_ok=True, private=False)
PY
```

Upload files:

```bash
python - <<'PY'
from huggingface_hub import HfApi
api = HfApi()
api.upload_folder(
repo_id='Profrandom/sparkctl-demo',
repo_type='space',
folder_path='huggingface/space',
commit_message='Prepare sparkctl demo Space placeholder',
)
api.upload_folder(
repo_id='Profrandom/sparkctl-context-artifacts',
repo_type='dataset',
folder_path='huggingface/dataset',
commit_message='Prepare sparkctl context artifacts dataset placeholder',
)
PY
```

## Option C — GitHub Actions sync later

A future workflow can sync `huggingface/space` to the Space using `huggingface/hub-sync` once an `HF_TOKEN` repository secret is configured.

Do not commit tokens or secrets.

## Claim hygiene

Use only fixture-bound wording:

- Agent trace replay consistency: `1.000000`
- Agent operational drift: `0.000000`
- Agent average compression ratio: `1.773954`
- MCP replay evaluation: deterministic, no LLM judges, no external APIs

Avoid:

- compliance claims
- official SPARK compatibility claims
- production-readiness claims
- unrestricted safety claims
- universal compression performance claims
51 changes: 51 additions & 0 deletions huggingface/README-dataset.md
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---
pretty_name: sparkctl Context Artifacts
license: mit
task_categories:
- text-generation
language:
- en
tags:
- agents
- context-compression
- deterministic-replay
- rust
- validation
---

# sparkctl Context Artifacts

This dataset repository is intended to host example artifacts for the Antigravity-CompText v7 / SPARK Context Layer project.

Primary GitHub repository:

https://github.com/ProfRandom92/Antigravity-Comptextv7

Paper placeholder:

https://arxiv.org/abs/TODO

Hugging Face Paper Page placeholder:

https://huggingface.co/papers/TODO

## Suggested uploaded files

```text
examples/spark/extraction.json
schemas/genehmigung_v1.json
artifacts/spark/context.json
artifacts/spark/context_render.txt
```

Do not upload private traces, secrets, raw credentials, proprietary customer data, or unreviewed local files.

## Scope

These artifacts are examples for local tooling and documentation. They are not a benchmark claim, compliance artifact, or official SPARK certification.

Approved validation wording:

- Offline behavior was deterministic in the validated test scope.
- Configured leak checks passed in the validated scope.
- No blocking risks found in the validated scope.
61 changes: 61 additions & 0 deletions huggingface/README-space.md
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---
title: sparkctl Demo
emoji: ⚡
colorFrom: yellow
colorTo: blue
sdk: gradio
app_file: app.py
pinned: false
---

# sparkctl Demo

`sparkctl` is the local operations controller for the Antigravity-CompText v7 / SPARK Context Layer project.

It bundles local diagnostics, Rust validation, context-pipeline orchestration, demo execution, and repository handoff checks into one command surface.

## Links

- GitHub: https://github.com/ProfRandom92/Antigravity-Comptextv7
- Paper: https://arxiv.org/abs/TODO
- Hugging Face Paper Page: https://huggingface.co/papers/TODO

## What the demo should show

The demo should present the local `sparkctl` workflow without claiming hosted execution parity:

```bash
cargo run --bin sparkctl -- doctor
cargo run --bin sparkctl -- rust-validate
cargo run --bin sparkctl -- context-all
cargo run --bin sparkctl -- spark-demo
cargo run --bin sparkctl -- handoff-check
```

## Artifact flow

```text
examples/spark/extraction.json
-> artifacts/spark/extraction.spkg
-> artifacts/spark/context.json
-> artifacts/spark/context_render.txt
```

## Scope and boundaries

Offline behavior was deterministic in the validated test scope. Configured leak checks passed in the validated scope. No blocking risks found in the validated scope.

No official SPARK compatibility claim is made. No regulatory compliance claim is made.

## Suggested Space implementation

For a lightweight Hackathon demo, use a Gradio UI that displays:

1. project overview
2. command surface
3. artifact flow
4. rendered example context
5. safety boundaries
6. links to GitHub and paper

Avoid executing arbitrary user commands in the Space.
52 changes: 52 additions & 0 deletions huggingface/dataset/README.md
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---
pretty_name: sparkctl Context Artifacts
license: mit
language:
- en
tags:
- agents
- context-compression
- deterministic-replay
- rust
- validation
- sparkctl
---

# sparkctl Context Artifacts

Placeholder dataset repository for reviewed example artifacts from the Antigravity-CompText v7 / SPARK Context Layer project.

## Source repositories

- sparkctl / Antigravity integration: https://github.com/ProfRandom92/Antigravity-Comptextv7
- CompText V7 benchmark artifacts: https://github.com/ProfRandom92/Comptextv7

## Suggested uploaded files after review

```text
examples/spark/extraction.json
schemas/genehmigung_v1.json
artifacts/spark/context.json
artifacts/spark/context_render.txt
artifacts/agent_trace_replay_results.json
artifacts/mcp_trace_replay_results.json
artifacts/token_latency_results.json
artifacts/iterative_replay_degradation_results.summary.md
```

Do not upload private traces, secrets, raw credentials, proprietary customer data, or unreviewed local files.

## Fixture-bound benchmark snapshot

From committed `Comptextv7` artifacts:

- Agent trace replay consistency: `1.000000`
- Agent operational drift: `0.000000`
- Agent average compression ratio: `1.773954`
- MCP replay evaluation: deterministic, no LLM judges, no external APIs

These values are fixture-bound and based on checked-in repository artifacts.

## Non-claims

This dataset placeholder is not a benchmark certification, compliance artifact, production-readiness claim, or official SPARK compatibility claim.
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