Pith Number

pith:IQ7V5NXX

pith:2020:IQ7V5NXXMYLLW64AIYJCO2HJ5M

not attested not anchored not stored refs pending

Understanding Recurrent Neural Networks Using Nonequilibrium Response Theory

Soon Hoe Lim

arxiv:2006.11052 v2 · 2020-06-19 · stat.ML · cond-mat.dis-nn · cs.LG · math.PR

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{IQ7V5NXXMYLLW64AIYJCO2HJ5M}

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

Predicting Critical Transitions in Multiscale Dynamical Systems Using Reservoir Computing

Receipt and verification

First computed	2026-07-05T02:14:42.218229Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

443f5eb6f76616bb7b8046122768e9eb3fb4b1497a79e57252935cd736bc7095

Aliases

arxiv: 2006.11052 · arxiv_version: 2006.11052v2 · doi: 10.48550/arxiv.2006.11052 · pith_short_12: IQ7V5NXXMYLL · pith_short_16: IQ7V5NXXMYLLW64A · pith_short_8: IQ7V5NXX

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/IQ7V5NXXMYLLW64AIYJCO2HJ5M \
  | 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: 443f5eb6f76616bb7b8046122768e9eb3fb4b1497a79e57252935cd736bc7095

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "609459cb5936b21addcef348fc1d12ec93d3f7cc1e4bdfb5a350f4e4451861b6",
    "cross_cats_sorted": [
      "cond-mat.dis-nn",
      "cs.LG",
      "math.PR"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2020-06-19T10:09:09Z",
    "title_canon_sha256": "48c5aa7f338ba0dc0bab9197779637b3813ef4c670d23eb02f588a2f98bea7bb"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2006.11052",
    "kind": "arxiv",
    "version": 2
  }
}