Pith Number

pith:VLR5K4FC

pith:2020:VLR5K4FCMGPQJPQKDZAR2AOKNY

not attested not anchored not stored refs pending

Adversarially Robust Estimate and Risk Analysis in Linear Regression

Guang Cheng, Ruizhi Zhang, Yue Xing

arxiv:2012.10278 v1 · 2020-12-18 · stat.ML · 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{VLR5K4FCMGPQJPQKDZAR2AOKNY}

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	2026-07-05T02:00:37.261095Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

aae3d570a2619f04be0a1e411d01ca6e18c224b8deb0b73a28bf6046e6019f41

Aliases

arxiv: 2012.10278 · arxiv_version: 2012.10278v1 · doi: 10.48550/arxiv.2012.10278 · pith_short_12: VLR5K4FCMGPQ · pith_short_16: VLR5K4FCMGPQJPQK · pith_short_8: VLR5K4FC

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/VLR5K4FCMGPQJPQKDZAR2AOKNY \
  | 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: aae3d570a2619f04be0a1e411d01ca6e18c224b8deb0b73a28bf6046e6019f41

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "ebf2100203395b0ba7f216cf2736bae0f750f0a44e960a6da2d6b3c5b3674e03",
    "cross_cats_sorted": [
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "stat.ML",
    "submitted_at": "2020-12-18T14:55:55Z",
    "title_canon_sha256": "63268b7d844d2f8ebbb09d6c91bb6007b80dbe56e3dd576239394f54088c1f07"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2012.10278",
    "kind": "arxiv",
    "version": 1
  }
}