Pith Number
pith:GC2423M7
pith:2024:GC2423M73KZKBM324RXX4AZ4IP
not attested
not anchored
not stored
refs pending
On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes
arxiv:2406.00630 v1 · 2024-06-02 · stat.ML · cs.LG
Add to your LaTeX paper
\usepackage{pith}
\pithnumber{GC2423M73KZKBM324RXX4AZ4IP}
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Record completeness
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Bitcoin timestamp
2
Internet Archive
3
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4
Citations
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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.
Cited by
Receipt and verification
| First computed | 2026-07-05T08:26:28.336336Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
30b5cd6d9fdab2a0b37ae46f7e033c43f986dc083031486f0a3fb4037dadd75c
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/GC2423M73KZKBM324RXX4AZ4IP \
| 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: 30b5cd6d9fdab2a0b37ae46f7e033c43f986dc083031486f0a3fb4037dadd75c
Canonical record JSON
{
"metadata": {
"abstract_canon_sha256": "0b8d010b94e96ec1f68d1ecf3ecc3b17fc260d5bfad55a097b2b27c12daf2950",
"cross_cats_sorted": [
"cs.LG"
],
"license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
"primary_cat": "stat.ML",
"submitted_at": "2024-06-02T06:19:25Z",
"title_canon_sha256": "821f04738f0137feaaff2627c68c4749569a78bbee59d61c4168430ca65a7397"
},
"schema_version": "1.0",
"source": {
"id": "2406.00630",
"kind": "arxiv",
"version": 1
}
}