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Pith Number

pith:IYBRSUML

pith:2017:IYBRSUMLWQCBRY3BC735FABZ5R
not attested not anchored not stored refs pending

Generalizing Hamiltonian Monte Carlo with Neural Networks

Daniel Levy, Jascha Sohl-Dickstein, Matthew D. Hoffman

arxiv:1711.09268 v3 · 2017-11-25 · stat.ML · cs.AI · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IYBRSUMLWQCBRY3BC735FABZ5R}

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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.

Cited by

3 papers in Pith

Receipt and verification
First computed 2026-05-18T00:22:02.629475Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

460319518bb40418e36117f7d28039ec46499ea812101382de5a46b6ab7f39b6

Aliases

arxiv: 1711.09268 · arxiv_version: 1711.09268v3 · doi: 10.48550/arxiv.1711.09268 · pith_short_12: IYBRSUMLWQCB · pith_short_16: IYBRSUMLWQCBRY3B · pith_short_8: IYBRSUML
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IYBRSUMLWQCBRY3BC735FABZ5R \
  | 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: 460319518bb40418e36117f7d28039ec46499ea812101382de5a46b6ab7f39b6
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "9bd273996321ff3319357a8457352f168dc8c8b9561981e7c27fe22b56099db1",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2017-11-25T18:08:02Z",
    "title_canon_sha256": "f6446e3039eec64c14dc0b3e56f76b1b6ea646b25aa5cbce72c58ddfe9b74185"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1711.09268",
    "kind": "arxiv",
    "version": 3
  }
}