Pith Number
pith:VV6LSGOV
pith:2017:VV6LSGOVMZHJ3CZLNYKCWKCJLS
not attested
not anchored
not stored
refs pending
full-FORCE: A Target-Based Method for Training Recurrent Networks
arxiv:1710.03070 v1 · 2017-10-09 · cs.NE · cs.LG · q-bio.NC · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{VV6LSGOVMZHJ3CZLNYKCWKCJLS}
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
· sign in to
claim
4
Citations
5
Replications
✓
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 | 2026-05-18T00:11:40.607454Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
ad7cb919d5664e9d8b2b6e142b28495cbf8ca65fd9609cf4daf3b5f7decf7f64
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/VV6LSGOVMZHJ3CZLNYKCWKCJLS \
| 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: ad7cb919d5664e9d8b2b6e142b28495cbf8ca65fd9609cf4daf3b5f7decf7f64
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "a44303d117ffa281447c1aeb42ce940dc87b7acd82ec020867cec3f8786ad34f",
"cross_cats_sorted": [
"cs.LG",
"q-bio.NC",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.NE",
"submitted_at": "2017-10-09T13:00:08Z",
"title_canon_sha256": "f9d30978b7ffbc03f1356a69ab6fe11d93ea6e03f1c7c9b5341a9e953edc99ca"
},
"schema_version": "1.0",
"source": {
"id": "1710.03070",
"kind": "arxiv",
"version": 1
}
}