Pith Number
pith:VOKHRRRX
pith:2018:VOKHRRRXLKGAFYJF72IBRKFE6Y
not attested
not anchored
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Interpreting Recurrent and Attention-Based Neural Models: a Case Study on Natural Language Inference
arxiv:1808.03894 v1 · 2018-08-12 · cs.CL · cs.AI · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VOKHRRRXLKGAFYJF72IBRKFE6Y}
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Record completeness
1
Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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Replications
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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 | 2026-05-17T23:45:52.927481Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ab9478c6375a8c02e125fe9018a8a4f60ce6d5cfb89e3f27b038cbe0d44db371
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VOKHRRRXLKGAFYJF72IBRKFE6Y \
| 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: ab9478c6375a8c02e125fe9018a8a4f60ce6d5cfb89e3f27b038cbe0d44db371
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "c637dbe77c87270779447086db87faac5e8ce87eed66d02497d3a8cd4ad02915",
"cross_cats_sorted": [
"cs.AI",
"cs.LG"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2018-08-12T05:42:26Z",
"title_canon_sha256": "8dcb501d71d9edaa466cb5c14f8a089044342d26133d9241179c6f33899c2fa2"
},
"schema_version": "1.0",
"source": {
"id": "1808.03894",
"kind": "arxiv",
"version": 1
}
}