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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

Guanhua Fang, Wen Yu, Zhiheng Chen

arxiv:2406.00630 v1 · 2024-06-02 · stat.ML · cs.LG

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\usepackage{pith}
\pithnumber{GC2423M73KZKBM324RXX4AZ4IP}

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2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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.

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1 paper in Pith

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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

arxiv: 2406.00630 · arxiv_version: 2406.00630v1 · doi: 10.48550/arxiv.2406.00630 · pith_short_12: GC2423M73KZK · pith_short_16: GC2423M73KZKBM32 · pith_short_8: GC2423M7
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
  }
}