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Pith Number

pith:IPAPR5SI

pith:2021:IPAPR5SI2GM2PUH3QRMMXHLPPC
not attested not anchored not stored refs pending

Towards Improving Adversarial Training of NLP Models

Jin Yong Yoo, Yanjun Qi

arxiv:2109.00544 v2 · 2021-09-01 · cs.CL · cs.AI · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IPAPR5SI2GM2PUH3QRMMXHLPPC}

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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

Receipt and verification
First computed 2026-07-05T03:13:32.610231Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

43c0f8f648d199a7d0fb8458cb9d6f788d6334f7897a26122b63d7309cc798b0

Aliases

arxiv: 2109.00544 · arxiv_version: 2109.00544v2 · doi: 10.48550/arxiv.2109.00544 · pith_short_12: IPAPR5SI2GM2 · pith_short_16: IPAPR5SI2GM2PUH3 · pith_short_8: IPAPR5SI
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IPAPR5SI2GM2PUH3QRMMXHLPPC \
  | 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: 43c0f8f648d199a7d0fb8458cb9d6f788d6334f7897a26122b63d7309cc798b0
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "53fb0beb8ba749ea1901279c48e5130d8c5e8d113e8c8896c2c8ebcad96f93a6",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.LG"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2021-09-01T17:14:26Z",
    "title_canon_sha256": "0e9ba0e7b236b7f26f20069454888c27ba8be836148a297f71e7cb6426f1e57b"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2109.00544",
    "kind": "arxiv",
    "version": 2
  }
}