Pith Number

pith:3CLOF4QT

pith:2026:3CLOF4QT5ZAEUCA2L3ZWM5YCAX

not attested not anchored not stored refs pending

Offline-First LLM Architecture for Adaptive Learning in Low-Connectivity Environments

Ann Move Oguti, Joseph Walusimbi, Joshua Benjamin Ssentongo, Keith Ainebyona

Offline-first LLM architecture runs quantized models locally to deliver adaptive, curriculum-aligned explanations on legacy hardware without internet.

arxiv:2603.03339 v6 · 2026-02-14 · cs.CY · cs.AR · cs.CL · cs.HC

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\usepackage{pith}
\pithnumber{3CLOF4QT5ZAEUCA2L3ZWM5YCAX}

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Record completeness

1 Bitcoin timestamp

2 Internet Archive

3 Author claim open · sign in to claim

4 Citations open

5 Replications open

✓ Portable graph bundle live · download bundle · merged state

The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

Results show stable operation on legacy hardware, acceptable response times, and positive user perceptions regarding support for self-directed learning.

C2weakest assumption

That quantized LLMs running locally can generate accurate, curriculum-aligned explanations at adjustable complexity levels that are educationally effective without cloud support or additional fine-tuning.

C3one line summary

An offline-first architecture using quantized LLMs and hardware-aware selection provides curriculum-aligned, level-adaptive tutoring on CPU-only devices in low-connectivity settings.

Receipt and verification

First computed	2026-06-10T00:08:26.418413Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d896e2f213ee404a081a5ef366770205ea18c72f9cf7e9119259c000fcffba6e

Aliases

arxiv: 2603.03339 · arxiv_version: 2603.03339v6 · doi: 10.48550/arxiv.2603.03339 · pith_short_12: 3CLOF4QT5ZAE · pith_short_16: 3CLOF4QT5ZAEUCA2 · pith_short_8: 3CLOF4QT

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/3CLOF4QT5ZAEUCA2L3ZWM5YCAX \
  | jq -c '.canonical_record' \
  | python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: d896e2f213ee404a081a5ef366770205ea18c72f9cf7e9119259c000fcffba6e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "ed6323b3be3ab20da1af5172245581da64279f85b7f4a7afb42e4df084ef438b",
    "cross_cats_sorted": [
      "cs.AR",
      "cs.CL",
      "cs.HC"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CY",
    "submitted_at": "2026-02-14T09:53:40Z",
    "title_canon_sha256": "52207307e83677d6d8077b74abf6f8f6327aded6cb7a8a00b1b46f3637eaefc9"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2603.03339",
    "kind": "arxiv",
    "version": 6
  }
}