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Pith Number

pith:OTQRIFX2

pith:2016:OTQRIFX27GSWOLJDMOPZO3DPW3
not attested not anchored not stored refs pending

Employing traditional machine learning algorithms for big data streams analysis: the case of object trajectory prediction

Angelos Valsamis, Dimitrios Zissis, Dimosthenis Anagnostopoulos, Konstantinos Tserpes, Theodora Varvarigou

arxiv:1609.00203 v1 · 2016-09-01 · cs.LG

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\usepackage{pith}
\pithnumber{OTQRIFX27GSWOLJDMOPZO3DPW3}

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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 2026-05-18T01:06:26.644026Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

74e11416faf9a5672d23639f976c6fb6d24e263b89474e8e24d8ccdd27808b63

Aliases

arxiv: 1609.00203 · arxiv_version: 1609.00203v1 · doi: 10.48550/arxiv.1609.00203 · pith_short_12: OTQRIFX27GSW · pith_short_16: OTQRIFX27GSWOLJD · pith_short_8: OTQRIFX2
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/OTQRIFX27GSWOLJDMOPZO3DPW3 \
  | 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: 74e11416faf9a5672d23639f976c6fb6d24e263b89474e8e24d8ccdd27808b63
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "6e6edf9a77ce9cdb7fe7cf158f30df142de1eaf4246cd68106b3c4f47d0f85a9",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2016-09-01T12:06:20Z",
    "title_canon_sha256": "1d9adc395c4c7b714603707edd2aa4ad8101b81a65f6e4665a78c964c4fa8fb6"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1609.00203",
    "kind": "arxiv",
    "version": 1
  }
}