Pith Number
pith:GFPP2Z3F
pith:2017:GFPP2Z3FTGYTQH66PCDHXDABBL
not attested
not anchored
not stored
refs pending
Mixed-precision training of deep neural networks using computational memory
arxiv:1712.01192 v1 · 2017-12-04 · cs.ET
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GFPP2Z3FTGYTQH66PCDHXDABBL}
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 | 2026-05-18T00:28:57.694476Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
315efd676599b1381fde78867b8c010ac070d62f8b8b62695c03fc22ca3fbf38
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GFPP2Z3FTGYTQH66PCDHXDABBL \
| 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: 315efd676599b1381fde78867b8c010ac070d62f8b8b62695c03fc22ca3fbf38
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "1abe6bd717fd2631eaa023ab79943decc255462b42bb4b7138b6d3502ca03c32",
"cross_cats_sorted": [],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.ET",
"submitted_at": "2017-12-04T16:54:12Z",
"title_canon_sha256": "777bbec3bedc8220772dd8ee4cd7a53a3d8895db6fc2fb0272be95e45b777567"
},
"schema_version": "1.0",
"source": {
"id": "1712.01192",
"kind": "arxiv",
"version": 1
}
}