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Pith Number

pith:NSYGEYAG

pith:2017:NSYGEYAG24L7BZ7QAWIZDBVIBX
not attested not anchored not stored refs pending

Compare, Compress and Propagate: Enhancing Neural Architectures with Alignment Factorization for Natural Language Inference

Luu Anh Tuan, Siu Cheung Hui, Yi Tay

arxiv:1801.00102 v2 · 2017-12-30 · cs.CL · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{NSYGEYAG24L7BZ7QAWIZDBVIBX}

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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.
Receipt and verification
First computed 2026-05-18T00:06:11.944800Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6cb0626006d717f0e7f005919186a80df705d8827c89427f40424fcc8c820312

Aliases

arxiv: 1801.00102 · arxiv_version: 1801.00102v2 · doi: 10.48550/arxiv.1801.00102 · pith_short_12: NSYGEYAG24L7 · pith_short_16: NSYGEYAG24L7BZ7Q · pith_short_8: NSYGEYAG
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NSYGEYAG24L7BZ7QAWIZDBVIBX \
  | 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: 6cb0626006d717f0e7f005919186a80df705d8827c89427f40424fcc8c820312
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "4f9f21215a98dd18d0bf7669093ecbe8d7b635eba2c8102b8ca4eb22f06f9680",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2017-12-30T08:54:16Z",
    "title_canon_sha256": "6bee4ea3203642e0312e90ed331fab0afd23c1967cf2b875ad54e439baa35313"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1801.00102",
    "kind": "arxiv",
    "version": 2
  }
}