Pith Number

pith:23ZEPV2Y

pith:2026:23ZEPV2YBMQQWAXTUCS4GTVTML

not attested not anchored not stored refs pending

CoFrGeNet: Continued Fraction Architectures for Language Generation

Amit Dhurandhar, Dennis Wei, Karthikeyan Natesan Ramamurthy, Rahul Nair, Tejaswini Pedapati, Vijil Chenthamarakshan

Continued-fraction components replace attention and feed-forward layers in large transformers with half to two-thirds the parameters while matching or exceeding performance on language tasks.

arxiv:2601.21766 v4 · 2026-01-29 · cs.CL · cs.AI

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\usepackage{pith}
\pithnumber{23ZEPV2YBMQQWAXTUCS4GTVTML}

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Record completeness

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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 that the performance on downstream classification, Q&A, reasoning and text understanding tasks of our models is competitive and sometimes even superior to the original models with 2/3 to 1/2 the parameters and shorter pre-training time.

C2weakest assumption

That continued-fraction components can preserve the modeling capacity of attention and feed-forward layers while using far fewer parameters, and that the custom gradient rules produce stable optimization across large-scale pre-training.

C3one line summary

CoFrGeNet uses continued-fraction function classes to build transformer replacements that match or beat GPT-2 and Llama performance with half to two-thirds the parameters.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-25T02:02:12.892377Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d6f247d7580b210b02f3a0a5c34eb362e434871a361617d108dca7ace156604d

Aliases

arxiv: 2601.21766 · arxiv_version: 2601.21766v4 · doi: 10.48550/arxiv.2601.21766 · pith_short_12: 23ZEPV2YBMQQ · pith_short_16: 23ZEPV2YBMQQWAXT · pith_short_8: 23ZEPV2Y

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/23ZEPV2YBMQQWAXTUCS4GTVTML \
  | 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: d6f247d7580b210b02f3a0a5c34eb362e434871a361617d108dca7ace156604d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "cd8be869b46ce6ae8e1dc41fa4026452bb7fb98020eba61eb7978cd0b08053fc",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-01-29T14:16:39Z",
    "title_canon_sha256": "c3fb0b68e932ede11292cdb8cf8460f267c04394665d0887589e98bfb3aef976"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2601.21766",
    "kind": "arxiv",
    "version": 4
  }
}