Pith. sign in
Pith Number

pith:EJVKWVXL

pith:2023:EJVKWVXL4KOWC6JETUOSJSM3ZB
not attested not anchored not stored refs pending

Extended tensor decomposition model reduction methods: training, prediction, and design under uncertainty

Jiachen Guo, Satyajit Mojumder, Wing Kam Liu, Yangfan Li, Ye Lu

arxiv:2307.15873 v2 · 2023-07-29 · math.NA · cs.NA

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{EJVKWVXL4KOWC6JETUOSJSM3ZB}

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.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-07-05T07:09:00.334096Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

226aab56ebe29d6179249d1d24c99bc845c862acee05ce20dcd6f1ac7197c5b2

Aliases

arxiv: 2307.15873 · arxiv_version: 2307.15873v2 · doi: 10.48550/arxiv.2307.15873 · pith_short_12: EJVKWVXL4KOW · pith_short_16: EJVKWVXL4KOWC6JE · pith_short_8: EJVKWVXL
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/EJVKWVXL4KOWC6JETUOSJSM3ZB \
  | 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: 226aab56ebe29d6179249d1d24c99bc845c862acee05ce20dcd6f1ac7197c5b2
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "495d5e1272b40bbbf477d1360e948f2fb049eab2fccd8f9ed5d3fddb6d017a1d",
    "cross_cats_sorted": [
      "cs.NA"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "math.NA",
    "submitted_at": "2023-07-29T02:52:59Z",
    "title_canon_sha256": "ebb317e8edc995ec61481e7b080b90b1566d658864fe7d6f82da71f69fad0946"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2307.15873",
    "kind": "arxiv",
    "version": 2
  }
}