Pith Number

pith:MI66WERH

pith:2020:MI66WERHJGDIE3BM3OM5QCHTVB

not attested not anchored not stored refs pending

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

Dan Jurafsky, Emma Brunskill, Jieru Hu, Joelle Pineau, Joshua Romoff, Peter Henderson

arxiv:2002.05651 v2 · 2020-01-31 · cs.CY · cs.LG

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{MI66WERHJGDIE3BM3OM5QCHTVB}

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

5 papers in Pith

Mapping the Schedule x Bit-Width Boundary in Sub-100M Quantisation-Aware Training

Energy per Successful Goal: Goal-Level Energy Accounting for Agentic AI Systems

Physics Priors Offer Useful Accuracy-Carbon Trade-Offs in Spatio-Temporal Forecasting

Optimized Federated Knowledge Distillation with Distributed Neural Architecture Search

EnergyLens: Predictive Energy-Aware Exploration for Multi-GPU LLM Inference Optimization

Receipt and verification

First computed	2026-07-05T05:20:06.866982Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

623deb12274986826c2cdb99d808f3a852dde796de9467e1ab07bc264bf284d1

Aliases

arxiv: 2002.05651 · arxiv_version: 2002.05651v2 · doi: 10.48550/arxiv.2002.05651 · pith_short_12: MI66WERHJGDI · pith_short_16: MI66WERHJGDIE3BM · pith_short_8: MI66WERH

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/MI66WERHJGDIE3BM3OM5QCHTVB \
  | 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: 623deb12274986826c2cdb99d808f3a852dde796de9467e1ab07bc264bf284d1

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "107629d6f48464a0179aecc73a92f98ca848cca463c3e4e5d1f1b84f108e94d3",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.CY",
    "submitted_at": "2020-01-31T05:12:59Z",
    "title_canon_sha256": "dcc759abaab1ba750330bfff6e1e2c6efdf947d30b081580f16d885e19ff8c1d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2002.05651",
    "kind": "arxiv",
    "version": 2
  }
}