pith. sign in
Pith Number

pith:MWTQN6K3

pith:2016:MWTQN6K3VOSGW6KI6ZDPK52IH6
not attested not anchored not stored refs pending

Confidence-Constrained Maximum Entropy Framework for Learning from Multi-Instance Data

Behrouz Behmardi, Forrest Briggs, Raviv Raich, Xiaoli Z. Fern

arxiv:1603.01901 v1 · 2016-03-07 · cs.LG · cs.IT · math.IT · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MWTQN6K3VOSGW6KI6ZDPK52IH6}

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 2026-05-18T01:19:10.706173Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

65a706f95baba46b7948f646f577483fa130fa32f4dd43a1d5c3d7486644f358

Aliases

arxiv: 1603.01901 · arxiv_version: 1603.01901v1 · doi: 10.48550/arxiv.1603.01901 · pith_short_12: MWTQN6K3VOSG · pith_short_16: MWTQN6K3VOSGW6KI · pith_short_8: MWTQN6K3
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MWTQN6K3VOSGW6KI6ZDPK52IH6 \
  | 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: 65a706f95baba46b7948f646f577483fa130fa32f4dd43a1d5c3d7486644f358
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "94267427d2cb5e26bb941e051fbba1dce7a316f90c5566fe40d53c0ad7d10b01",
    "cross_cats_sorted": [
      "cs.IT",
      "math.IT",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2016-03-07T00:30:10Z",
    "title_canon_sha256": "709d69f42475cb43a73c307bb2d228b5a0ba7ccf11c3a39984beddb8434a9282"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1603.01901",
    "kind": "arxiv",
    "version": 1
  }
}