Pith Number

pith:RLQZERNW

pith:2025:RLQZERNWEPBZEW4BKSDO4DGZ75

not attested not anchored not stored refs pending

ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis

Andrew C Yao, Haoxiong Liu, Jiacheng Sun, Zhenguo Li

arxiv:2501.18310 v2 · 2025-01-30 · cs.LG · cs.AI

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{RLQZERNWEPBZEW4BKSDO4DGZ75}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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.

Cited by

1 paper in Pith

Neuro-Symbolic Proof Generation for Scaling Systems Software Verification

Receipt and verification

First computed	2026-07-05T11:17:23.270251Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

8ae19245b623c3925b815486ee0cd9ff4bee581e73319e8f0e0f02fedb9745aa

Aliases

arxiv: 2501.18310 · arxiv_version: 2501.18310v2 · doi: 10.48550/arxiv.2501.18310 · pith_short_12: RLQZERNWEPBZ · pith_short_16: RLQZERNWEPBZEW4B · pith_short_8: RLQZERNW

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/RLQZERNWEPBZEW4BKSDO4DGZ75 \
  | 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: 8ae19245b623c3925b815486ee0cd9ff4bee581e73319e8f0e0f02fedb9745aa

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "6bfe8cc249967cbe24bdb4c2c798645e3a2b8aca38f13c9e11847d7460922862",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-01-30T12:37:06Z",
    "title_canon_sha256": "ba6e7ceb2e288b222268a6b5facfeebc3efc46748e93a767c3ea8471e6dd160c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2501.18310",
    "kind": "arxiv",
    "version": 2
  }
}