Pith Number

pith:4E44RJ5Z

pith:2026:4E44RJ5Z4HTGZRZO6DDYCVEOHF

not attested not anchored not stored refs pending

Dual-Dimensional Consistency: Balancing Budget and Quality in Adaptive Inference-Time Scaling

Bo Li, Hang Yan, Rongman Xu, Tianzhe Zhao, Yanrui Wu, Yifei Li

DDC reduces token consumption by over 10x in LLM reasoning while maintaining or exceeding baseline accuracy across five benchmarks via adaptive path quality filtering.

arxiv:2605.15100 v1 · 2026-05-14 · cs.AI

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\usepackage{pith}
\pithnumber{4E44RJ5Z4HTGZRZO6DDYCVEOHF}

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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

Evaluations across five benchmarks demonstrate that this approach reduces token consumption by over 10 times while maintaining or exceeding the accuracy of strong baselines across various LLMs.

C2weakest assumption

The assumption that Confidence-Weighted Bayesian protocol combined with Trend-Aware Stratified Pruning will reliably concentrate compute on high-quality paths and filter hallucinations without discarding valid complex reasoning chains.

C3one line summary

DDC reduces token consumption by over 10x in LLM reasoning while maintaining or exceeding baseline accuracy across five benchmarks via adaptive path quality filtering.

Receipt and verification

First computed	2026-05-17T21:40:25.823376Z
Last reissued	2026-05-17T21:57:19.153888Z
Builder	pith-number-builder-2026-05-17-v1
Signature	unsigned_v0
Schema	pith-number/v1.0

Canonical hash

e139c8a7b9e1e66cc72ef0c781548e397202b6f48ee39256843533821ff40a9a

Aliases

arxiv: 2605.15100 · arxiv_version: 2605.15100v1 · pith_short_12: 4E44RJ5Z4HTG · pith_short_16: 4E44RJ5Z4HTGZRZO · pith_short_8: 4E44RJ5Z

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/4E44RJ5Z4HTGZRZO6DDYCVEOHF \
  | 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: e139c8a7b9e1e66cc72ef0c781548e397202b6f48ee39256843533821ff40a9a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "9701e68219796e9e081a93fdb4732af9364d967aecaa2c84ee0666ce8f388020",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-14T17:19:37Z",
    "title_canon_sha256": "5c73f0fba184df04ef8d25a76d97e7d66297d24eea947de7cbb6af73152e373a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.15100",
    "kind": "arxiv",
    "version": 1
  }
}