Pith Number
pith:IEML64KY
pith:2016:IEML64KYRFBTRXR5PBIN3V745F
not attested
not anchored
not stored
refs pending
Imitation Learning with Recurrent Neural Networks
arxiv:1607.05241 v1 · 2016-07-18 · cs.CL · cs.LG · stat.ML
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IEML64KYRFBTRXR5PBIN3V745F}
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 | 2026-05-18T01:10:55.617794Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
4118bf7158894338de3d7850ddd7fce94abb31e12d7afef66b7f1a96050d4381
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IEML64KYRFBTRXR5PBIN3V745F \
| 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: 4118bf7158894338de3d7850ddd7fce94abb31e12d7afef66b7f1a96050d4381
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "238b4e0ae4434ff983f0fcf2bf1e9cc560897458eeda70c309be5b4bf5987d86",
"cross_cats_sorted": [
"cs.LG",
"stat.ML"
],
"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
"primary_cat": "cs.CL",
"submitted_at": "2016-07-18T19:01:00Z",
"title_canon_sha256": "abeac5a87fdabdfe8a5cb8c091135f65c6b2c9f7a6b5d3017af23a143fcb08ff"
},
"schema_version": "1.0",
"source": {
"id": "1607.05241",
"kind": "arxiv",
"version": 1
}
}