Pith. sign in
Pith Number

pith:BRBRMJRL

pith:2023:BRBRMJRLJZXG2SP5CRWPOTWTOO
not attested not anchored not stored refs pending

Imitating Human Behaviour with Diffusion Models

Anssi Kanervisto, Dave Bignell, Ida Momennejad, Katja Hofmann, Mingfei Sun, Raluca Georgescu, Sam Devlin, Sergio Valcarcel Macua, Shan Zheng Tan, Tabish Rashid, Tim Pearce

arxiv:2301.10677 v2 · 2023-01-25 · cs.AI · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{BRBRMJRLJZXG2SP5CRWPOTWTOO}

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.

Cited by

24 papers in Pith

Receipt and verification
First computed 2026-07-05T05:47:47.393803Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

0c4316262b4e6e6d49fd146cf74ed373902037618d2532c1ee7188098ecd75e3

Aliases

arxiv: 2301.10677 · arxiv_version: 2301.10677v2 · doi: 10.48550/arxiv.2301.10677 · pith_short_12: BRBRMJRLJZXG · pith_short_16: BRBRMJRLJZXG2SP5 · pith_short_8: BRBRMJRL
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/BRBRMJRLJZXG2SP5CRWPOTWTOO \
  | 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: 0c4316262b4e6e6d49fd146cf74ed373902037618d2532c1ee7188098ecd75e3
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "d9be015c2c4b7d9b7f1c8359ae91ecceddde28967d35e4ecbc0bda68eb213b5a",
    "cross_cats_sorted": [
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2023-01-25T16:31:05Z",
    "title_canon_sha256": "d84dbb6ba4a58ec127ee377c2ad14bc11043cc9de46492d890963ff46900a61d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2301.10677",
    "kind": "arxiv",
    "version": 2
  }
}