Pith Number

pith:LYSD22YP

pith:2017:LYSD22YPHCVTTMTOQDOJNIQH3X

not attested not anchored not stored refs pending

Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks

Hongyuan Zha, Junchi Yan, Shuai Xiao, Stephen M. Chu, Xiaokang Yang

arxiv:1705.08982 v1 · 2017-05-24 · cs.LG · cs.AI · stat.ML

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{LYSD22YPHCVTTMTOQDOJNIQH3X}

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Record completeness

1 Bitcoin timestamp

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.

Receipt and verification

First computed	2026-05-18T00:43:40.763191Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

5e243d6b0f38ab39b26e80dc96a207dded98aabb01b4010c5142616b6b4631ba

Aliases

arxiv: 1705.08982 · arxiv_version: 1705.08982v1 · doi: 10.48550/arxiv.1705.08982 · pith_short_12: LYSD22YPHCVT · pith_short_16: LYSD22YPHCVTTMTO · pith_short_8: LYSD22YP

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/LYSD22YPHCVTTMTOQDOJNIQH3X \
  | 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: 5e243d6b0f38ab39b26e80dc96a207dded98aabb01b4010c5142616b6b4631ba

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "b8e58447c8ed30ec5ba8b273c286354bfc7efc25a313f21c5fbd68282ce0981a",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2017-05-24T22:23:14Z",
    "title_canon_sha256": "56a46033a66b567d472399314410f076713b2e32c29984f6380abcbe4ddd41c6"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1705.08982",
    "kind": "arxiv",
    "version": 1
  }
}