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Pith Number

pith:SFMKET3K

pith:2016:SFMKET3K2454BCMTBP5Q5W5EHV
not attested not anchored not stored refs pending

ODE - Augmented Training Improves Anomaly Detection in Sensor Data from Machines

Gautam Shroff, K Sriram, Lovekesh Vig, Mohit Yadav, Pankaj Malhotra

arxiv:1605.01534 v1 · 2016-05-05 · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{SFMKET3K2454BCMTBP5Q5W5EHV}

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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.
Receipt and verification
First computed 2026-05-18T01:15:33.418226Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

9158a24f6ad73bc089930bfb0edba43d76d0184d1d5831651545b3a911149377

Aliases

arxiv: 1605.01534 · arxiv_version: 1605.01534v1 · doi: 10.48550/arxiv.1605.01534 · pith_short_12: SFMKET3K2454 · pith_short_16: SFMKET3K2454BCMT · pith_short_8: SFMKET3K
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/SFMKET3K2454BCMTBP5Q5W5EHV \
  | 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: 9158a24f6ad73bc089930bfb0edba43d76d0184d1d5831651545b3a911149377
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "05a4f82ed3dde15373acc79febef338c1caa6411bf9cdb8cae3c4e1b772b3241",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2016-05-05T09:15:55Z",
    "title_canon_sha256": "17aa280614cec0e7771606ba46beebcce6b539e1d850d74f5f17e4725d6360b7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1605.01534",
    "kind": "arxiv",
    "version": 1
  }
}