Pith Number

pith:MM4DSHZG

pith:2017:MM4DSHZGREMEHVUH2LJKXA2N2N

not attested not anchored not stored refs pending

Linear Disentangled Representation Learning for Facial Actions

Trac D. Tran, Xiang Xiang

arxiv:1701.03102 v1 · 2017-01-11 · cs.CV · cs.AI · cs.LG · 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{MM4DSHZGREMEHVUH2LJKXA2N2N}

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	2026-05-18T00:52:54.788888Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6338391f26891843d687d2d2ab834dd36e902f7a5c677619d4acecf38430a084

Aliases

arxiv: 1701.03102 · arxiv_version: 1701.03102v1 · doi: 10.48550/arxiv.1701.03102 · pith_short_12: MM4DSHZGREME · pith_short_16: MM4DSHZGREMEHVUH · pith_short_8: MM4DSHZG

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/MM4DSHZGREMEHVUH2LJKXA2N2N \
  | 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: 6338391f26891843d687d2d2ab834dd36e902f7a5c677619d4acecf38430a084

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "3f39143e578dc4fbf5349c71bf8734e78cca349e21fd86de2f8e76e2435ffdc3",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2017-01-11T16:34:29Z",
    "title_canon_sha256": "0c8161afc59a9ef29a63b60051f8e4ade1a343b34ef4f0abda12154fe1b9b01b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1701.03102",
    "kind": "arxiv",
    "version": 1
  }
}