Pith Number
pith:F52HDDSM
pith:2017:F52HDDSMU54EH64LD2QPYK3K54
not attested
not anchored
not stored
refs pending
Drug-drug Interaction Extraction via Recurrent Neural Network with Multiple Attention Layers
arxiv:1705.03261 v2 · 2017-05-09 · cs.CL
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{F52HDDSMU54EH64LD2QPYK3K54}
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
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claim
4
Citations
5
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 | 2026-05-18T00:44:15.271927Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
2f74718e4ca77843fb8b1ea0fc2b6aef04aec379dd92ee7599b9db05066c5662
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/F52HDDSMU54EH64LD2QPYK3K54 \
| 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: 2f74718e4ca77843fb8b1ea0fc2b6aef04aec379dd92ee7599b9db05066c5662
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "ffcb374d3bbc79f31678e1e9c79f87dcfacaf7d23a8c2523b65a7ae29d444cc1",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2017-05-09T10:22:48Z",
"title_canon_sha256": "bc869dc768025cf314c7d6ee9780ce871d672f11a9f660169df81ec8d6f73cba"
},
"schema_version": "1.0",
"source": {
"id": "1705.03261",
"kind": "arxiv",
"version": 2
}
}