Pith Number

pith:HKHTMZ7D

pith:2020:HKHTMZ7D2XOJX2Z3LBYDN7MRF5

not attested not anchored not stored refs pending

Using neural networks to predict icephobic performance

Rahul Ramachandran

arxiv:2008.00966 v1 · 2020-07-31 · cond-mat.soft · cond-mat.mtrl-sci · 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{HKHTMZ7D2XOJX2Z3LBYDN7MRF5}

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.

Receipt and verification

First computed	2026-07-05T01:24:12.878964Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

3a8f3667e3d5dc9beb3b587036fd912f4960d6399840feefa088531d9baae6d1

Aliases

arxiv: 2008.00966 · arxiv_version: 2008.00966v1 · doi: 10.48550/arxiv.2008.00966 · pith_short_12: HKHTMZ7D2XOJ · pith_short_16: HKHTMZ7D2XOJX2Z3 · pith_short_8: HKHTMZ7D

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/HKHTMZ7D2XOJX2Z3LBYDN7MRF5 \
  | 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: 3a8f3667e3d5dc9beb3b587036fd912f4960d6399840feefa088531d9baae6d1

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "be725bf1273cb469ae53582ba41d24a26b4951ed3a16bf513e7e810ff56f7976",
    "cross_cats_sorted": [
      "cond-mat.mtrl-sci",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cond-mat.soft",
    "submitted_at": "2020-07-31T05:37:06Z",
    "title_canon_sha256": "8d5126c285ef63f176d7e679ed604b42051f2fb7801845cb613a0cad5b3fb3de"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2008.00966",
    "kind": "arxiv",
    "version": 1
  }
}