Pith Number

pith:PQMMFDXU

pith:2020:PQMMFDXU5IYF6BQZ446F4IPDXY

not attested not anchored not stored refs pending

Flower: A Friendly Federated Learning Research Framework

Akhil Mathur, Daniel J. Beutel, Javier Fernandez-Marques, Kwing Hei Li, Lorenzo Sani, Nicholas D. Lane, Pedro Porto Buarque de Gusm\~ao, Taner Topal, Titouan Parcollet, Xinchi Qiu, Yan Gao

arxiv:2007.14390 v5 · 2020-07-28 · cs.LG · cs.CV · stat.ML

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{PQMMFDXU5IYF6BQZ446F4IPDXY}

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

22 papers in Pith

Beyond Assumptions: Measuring Federated Learning over Real 5G Networks

Embedding-Based Federated Learning with Runtime Governance for Iron Deficiency Prediction

Federated Learning for ICD Classification with Lightweight Models and Pretrained Embeddings

A Typed Tensor Language for Federated Learning

M$^2$FedAQI: Multimodal Federated Learning for Air Quality Prediction on Heterogeneous Edge Devices

Receipt and verification

First computed	2026-05-22T14:01:25.798759Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

7c18c28ef4ea305f0619e73c5e21e3be19db2cedbba0f446df3ba8d41eb26050

Aliases

arxiv: 2007.14390 · arxiv_version: 2007.14390v5 · doi: 10.48550/arxiv.2007.14390 · pith_short_12: PQMMFDXU5IYF · pith_short_16: PQMMFDXU5IYF6BQZ · pith_short_8: PQMMFDXU

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/PQMMFDXU5IYF6BQZ446F4IPDXY \
  | 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: 7c18c28ef4ea305f0619e73c5e21e3be19db2cedbba0f446df3ba8d41eb26050

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "56bac0680e96d9d5de57fbc2523e0ffd004fd2f44fcb687c0014ae4df9510759",
    "cross_cats_sorted": [
      "cs.CV",
      "stat.ML"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2020-07-28T17:59:07Z",
    "title_canon_sha256": "7aac85a8daa6d0ab5ef3b11abc6199018d434f8f4f179dec1e90664edcb89352"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2007.14390",
    "kind": "arxiv",
    "version": 5
  }
}