Pith Number

pith:XQADDA3E

pith:2025:XQADDA3EC2ZV74XIZGBLRZGHLM

not attested not anchored not stored refs pending

HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction

Muhammad Shafique, Nouhaila Innan, Prashant Kumar Choudhary, Rajeev Singh

arxiv:2503.15403 v1 · 2025-03-19 · q-fin.ST · cs.LG · quant-ph

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{XQADDA3EC2ZV74XIZGBLRZGHLM}

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

4 papers in Pith

QPredSGG: Hybrid Quantum Predicate Learning for Long-Tailed Scene Graph Generation

A Hybrid Quantum Circuit Born Machine Framework for Financial Volatility Forecasting: Quantum-Assisted Training and Classical Inference

Scaling Laws for Hybrid Quantum Neural Networks: Depth, Width, and Quantum-Centric Diagnostics

Robustness Evaluation of Hybrid Quantum Neural Networks under Noise Models via System-Level Error Mitigation

Receipt and verification

First computed	2026-07-05T10:35:25.551711Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

bc0031836416b35ff2e8c982b8e4c75b36e69655fe7d5a6c340db7e03f8f056b

Aliases

arxiv: 2503.15403 · arxiv_version: 2503.15403v1 · doi: 10.48550/arxiv.2503.15403 · pith_short_12: XQADDA3EC2ZV · pith_short_16: XQADDA3EC2ZV74XI · pith_short_8: XQADDA3E

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/XQADDA3EC2ZV74XIZGBLRZGHLM \
  | 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: bc0031836416b35ff2e8c982b8e4c75b36e69655fe7d5a6c340db7e03f8f056b

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "b761d4ee3bf411a35031d9beff63be8975d5f2a35584c32ca602f9b3b009fe04",
    "cross_cats_sorted": [
      "cs.LG",
      "quant-ph"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "q-fin.ST",
    "submitted_at": "2025-03-19T16:44:21Z",
    "title_canon_sha256": "d7457794b564d4652bbe9fbdf7300dc8d79f2e831e8e6bb93cc3d49b4f14d166"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2503.15403",
    "kind": "arxiv",
    "version": 1
  }
}