Pith Number

pith:DDTAWYFW

pith:2018:DDTAWYFWILTBQD66ITVBA65YGN

not attested not anchored not stored refs pending

ARMDN: Associative and Recurrent Mixture Density Networks for eRetail Demand Forecasting

Atin Ghosh, Devashish Shankar, Krishnendu Chaudhury, Nilam Tathawadekar, Pramod Kompalli, Srayanta Mukherjee, Sunita Sarawagi

arxiv:1803.03800 v2 · 2018-03-10 · cs.LG · cs.AI · stat.ML

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\usepackage{pith}
\pithnumber{DDTAWYFWILTBQD66ITVBA65YGN}

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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.

Cited by

1 paper in Pith

Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent Units

Receipt and verification

First computed	2026-05-18T00:20:51.565386Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

18e60b60b642e6180fde44ea107bb8337fc31c7a1a823861d9de3cedd0ade476

Aliases

arxiv: 1803.03800 · arxiv_version: 1803.03800v2 · doi: 10.48550/arxiv.1803.03800 · pith_short_12: DDTAWYFWILTB · pith_short_16: DDTAWYFWILTBQD66 · pith_short_8: DDTAWYFW

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/DDTAWYFWILTBQD66ITVBA65YGN \
  | 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: 18e60b60b642e6180fde44ea107bb8337fc31c7a1a823861d9de3cedd0ade476

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e70b4d09ba3804fec6e3db334a305c0728eaae0955d94a11753e94a7ec77fd13",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2018-03-10T12:45:11Z",
    "title_canon_sha256": "9bf3d6092a89522eed563b2c11f5d5fddbc5ac5483be799b32708be40271cbe1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "1803.03800",
    "kind": "arxiv",
    "version": 2
  }
}