Pith Number

pith:XYGIZZEE

pith:2016:XYGIZZEEYVLOWDFONFJHH5MS42

not attested not anchored not stored refs pending

Robust Spectral Inference for Joint Stochastic Matrix Factorization

David Bindel, David Mimno, Moontae Lee

arxiv:1611.00175 v1 · 2016-11-01 · cs.LG · cs.AI

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{XYGIZZEEYVLOWDFONFJHH5MS42}

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	2026-05-18T01:00:41.328224Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

be0c8ce484c556eb0cae695273f592e68e19fb23a10e634fe284e15d75ed5f79

Aliases

arxiv: 1611.00175 · arxiv_version: 1611.00175v1 · doi: 10.48550/arxiv.1611.00175 · pith_short_12: XYGIZZEEYVLO · pith_short_16: XYGIZZEEYVLOWDFO · pith_short_8: XYGIZZEE

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/XYGIZZEEYVLOWDFONFJHH5MS42 \
  | 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: be0c8ce484c556eb0cae695273f592e68e19fb23a10e634fe284e15d75ed5f79

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "db5a2b8d1e401d699b6e7aea6bd71ebb3d81780246b1e2d70fdb2710bd5ac7b5",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2016-11-01T10:06:57Z",
    "title_canon_sha256": "5e68b93e93bc786ffa2d0efe3e40d65f0180a7a671bb73698f3057f9b26ac081"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1611.00175",
    "kind": "arxiv",
    "version": 1
  }
}