Pith Number

pith:MFU74WRK

pith:2022:MFU74WRKNSU4X5FWGODUV6LJAI

not attested not anchored not stored refs pending

Measuring Forgetting of Memorized Training Examples

Abhradeep Thakurta, Chiyuan Zhang, Daphne Ippolito, Eric Wallace, Florian Tram\`er, Katherine Lee, Matthew Jagielski, Nicholas Carlini, Nicolas Papernot, Om Thakkar, Shuang Song

arxiv:2207.00099 v2 · 2022-06-30 · 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{MFU74WRKNSU4X5FWGODUV6LJAI}

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

8 papers in Pith

Natural Ungrokking: Asymmetric Control of Which Rules Survive Pretraining

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment

Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Receipt and verification

First computed	2026-07-05T06:08:05.987382Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

6169fe5a2a6ca9cbf4b633874af9690214286fe7e839d215a3322cdf3f0b0b2c

Aliases

arxiv: 2207.00099 · arxiv_version: 2207.00099v2 · doi: 10.48550/arxiv.2207.00099 · pith_short_12: MFU74WRKNSU4 · pith_short_16: MFU74WRKNSU4X5FW · pith_short_8: MFU74WRK

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/MFU74WRKNSU4X5FWGODUV6LJAI \
  | 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: 6169fe5a2a6ca9cbf4b633874af9690214286fe7e839d215a3322cdf3f0b0b2c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "2cc3a6e9223b59cc3af1dc4e678c4d2958f08945ba58f13037dd9faf8152b7ec",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2022-06-30T20:48:26Z",
    "title_canon_sha256": "9c6db29bfc8648ef78e2056fcfa15c3244fea6f0b9abb016c0599301a2e439a7"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2207.00099",
    "kind": "arxiv",
    "version": 2
  }
}