Pith Number
pith:XU5EQS4R
pith:2018:XU5EQS4RYB7M62QLEC36MLUVER
not attested
not anchored
not stored
refs pending
Characterizing Deep-Learning I/O Workloads in TensorFlow
arxiv:1810.03035 v1 · 2018-10-06 · cs.DC
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{XU5EQS4RYB7M62QLEC36MLUVER}
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 | 2026-05-17T23:49:03.271157Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
bd3a484b91c07ecf6a0b20b7e62e952458dc5dcdbbbbafc2f8f03a6295258135
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/XU5EQS4RYB7M62QLEC36MLUVER \
| 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: bd3a484b91c07ecf6a0b20b7e62e952458dc5dcdbbbbafc2f8f03a6295258135
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "351190c145844c89caae8c14ba7b960a5091a68beede613e285cc330cf43f424",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.DC",
"submitted_at": "2018-10-06T18:31:51Z",
"title_canon_sha256": "ecadf178e7dcd5f988cbcb093589e883a0803b05d05f27ebad86c38a8b8b44d3"
},
"schema_version": "1.0",
"source": {
"id": "1810.03035",
"kind": "arxiv",
"version": 1
}
}