Pith Number

pith:HBX2JJ6W

pith:2026:HBX2JJ6WPL7VSXQTRHJSBE5BJP

not attested not anchored not stored refs pending

A New Framework to Analyse the Distributional Robustness of Deep Neural Networks

Divij Khaitan, Subhashis Banerjee

arxiv:2605.21313 v1 · 2026-05-20 · 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{HBX2JJ6WPL7VSXQTRHJSBE5BJP}

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	2026-05-21T02:05:28.722726Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

386fa4a7d67aff595e1389d32093a14bff043fd13dc66ddab8b3e5ed21b27c35

Aliases

arxiv: 2605.21313 · arxiv_version: 2605.21313v1 · doi: 10.48550/arxiv.2605.21313 · pith_short_12: HBX2JJ6WPL7V · pith_short_16: HBX2JJ6WPL7VSXQT · pith_short_8: HBX2JJ6W

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/HBX2JJ6WPL7VSXQTRHJSBE5BJP \
  | 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: 386fa4a7d67aff595e1389d32093a14bff043fd13dc66ddab8b3e5ed21b27c35

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "41b8bc70c8a482b2c1bbed89a797ef8ad19aff1c5548a73453a5ff988249c0db",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-20T15:42:56Z",
    "title_canon_sha256": "5c618f3a355bbe09e52cdf0c75f76342ecf56e9d5b95b89a27c443ba712d68b7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.21313",
    "kind": "arxiv",
    "version": 1
  }
}