Pith. sign in
Pith Number

pith:MS5FNYHB

pith:2020:MS5FNYHBRVH6F55XDMGTWYCZ5L
not attested not anchored not stored refs pending

Reinforcement Learning based dynamic weighing of Ensemble Models for Time Series Forecasting

Bala Shyamala Balaji, Hemanth Kumar Tanneru, Satheesh K. Perepu, Sudhakar Kathari, Vivek Shankar Pinnamaraju

arxiv:2008.08878 v1 · 2020-08-20 · cs.LG · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MS5FNYHBRVH6F55XDMGTWYCZ5L}

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 2026-07-05T01:28:37.338773Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

64ba56e0e18d4fe2f7b71b0d3b6059eace950e926eb654ca44e0f788aad771a5

Aliases

arxiv: 2008.08878 · arxiv_version: 2008.08878v1 · doi: 10.48550/arxiv.2008.08878 · pith_short_12: MS5FNYHBRVH6 · pith_short_16: MS5FNYHBRVH6F55X · pith_short_8: MS5FNYHB
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MS5FNYHBRVH6F55XDMGTWYCZ5L \
  | 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: 64ba56e0e18d4fe2f7b71b0d3b6059eace950e926eb654ca44e0f788aad771a5
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "4ac6b4991a3f87c4fe8c78b3b614a15a9f5dcabf8353cf221366b0c228e24df6",
    "cross_cats_sorted": [
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2020-08-20T10:40:42Z",
    "title_canon_sha256": "a362608b6a522f69739f3c701b56ae83ee433fd9f854eb56cce6ada4e28ce7d6"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2008.08878",
    "kind": "arxiv",
    "version": 1
  }
}