Pith Number

pith:RHJDTFKA

pith:2016:RHJDTFKAUUOAG3URWKLPA4LUYA

not attested not anchored not stored refs pending

A subset multicanonical Monte Carlo method for simulating rare failure events

Jinglai Li, Xinjuan Chen

arxiv:1612.07002 v1 · 2016-12-21 · math.NA · stat.CO

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{RHJDTFKAUUOAG3URWKLPA4LUYA}

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 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	2026-05-18T00:43:56.155278Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

89d2399540a51c036e91b296f07174c00f7b0039e3d3012ed57e503c18eb57e0

Aliases

arxiv: 1612.07002 · arxiv_version: 1612.07002v1 · doi: 10.48550/arxiv.1612.07002 · pith_short_12: RHJDTFKAUUOA · pith_short_16: RHJDTFKAUUOAG3UR · pith_short_8: RHJDTFKA

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/RHJDTFKAUUOAG3URWKLPA4LUYA \
  | 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: 89d2399540a51c036e91b296f07174c00f7b0039e3d3012ed57e503c18eb57e0

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "47c828746e807817570831a0f11b78c68bf825893bc8ee9be091dda9bcd5c13e",
    "cross_cats_sorted": [
      "stat.CO"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.NA",
    "submitted_at": "2016-12-21T07:59:15Z",
    "title_canon_sha256": "6415e023dceb909232f76adc24e0a901cd93a2c079b0baf32ee99eb26f186bef"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1612.07002",
    "kind": "arxiv",
    "version": 1
  }
}