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pith:6WJVDM3V

pith:2026:6WJVDM3VOOUXRUZLI5B223YRG3
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Rate-Distortion Optimization for Transformer Inference

Alon Harell, Anderson de Andrade, Ivan V. Baji\'c

A rate-distortion framework lets transformers compress intermediate representations to cut inference bitrate while preserving accuracy.

arxiv:2601.22002 v4 · 2026-01-29 · cs.LG · cs.IT · math.IT

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\pithnumber{6WJVDM3VOOUXRUZLI5B223YRG3}

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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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

The simplest of the proposed codecs achieves substantial rate savings, outperforming more complex methods, and empirical rates for different architectures and tasks are driven by the derived information-theoretic bounds on achievable rate.

C2weakest assumption

That the learned compression of intermediate representations preserves downstream task accuracy sufficiently for the rate-distortion tradeoff to remain useful in practice, without the paper specifying how accuracy degradation is measured across all possible splits.

C3one line summary

A rate-distortion framework for lossy compression of transformer representations yields substantial bitrate savings on language tasks while preserving accuracy, with observed rates aligning to derived information-theoretic bounds.

Receipt and verification
First computed 2026-06-23T01:12:00.617065Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

f59351b37573a978d32b4743ad6f1136fc8d2618d01cd9925b9b095cb2ad36eb

Aliases

arxiv: 2601.22002 · arxiv_version: 2601.22002v4 · doi: 10.48550/arxiv.2601.22002 · pith_short_12: 6WJVDM3VOOUX · pith_short_16: 6WJVDM3VOOUXRUZL · pith_short_8: 6WJVDM3V
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6WJVDM3VOOUXRUZLI5B223YRG3 \
  | 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: f59351b37573a978d32b4743ad6f1136fc8d2618d01cd9925b9b095cb2ad36eb
Canonical record JSON
{
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    "abstract_canon_sha256": "cb79855f0642aa9df7a60d56a819c0024a5725f78487d7348e8bb0a9f3f15756",
    "cross_cats_sorted": [
      "cs.IT",
      "math.IT"
    ],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-01-29T17:12:46Z",
    "title_canon_sha256": "fa7ea1ba75428013a2c8ee3348e568df725787f7e69f5c14286ee8e88d834550"
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  "source": {
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    "kind": "arxiv",
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