Pith Number

pith:XFMGHLRH

pith:2025:XFMGHLRHPMZWDZB22CGI6MCUNN

not attested not anchored not stored refs pending

Position: An Empirically Grounded Identifiability Theory Will Accelerate Self-Supervised Learning Research

David Klindt, Patrik Reizinger, Randall Balestriero, Wieland Brendel

arxiv:2504.13101 v3 · 2025-04-17 · cs.LG · cs.AI · stat.ML

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{XFMGHLRHPMZWDZB22CGI6MCUNN}

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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

4 papers in Pith

Understanding Self-Supervised Learning via Latent Distribution Matching

There Will Be a Scientific Theory of Deep Learning

Receipt and verification

First computed	2026-07-05T11:42:28.592400Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

b95863ae277b3361e43ad08c8f30546b41036ad5e4e60094879fc61a204dd44f

Aliases

arxiv: 2504.13101 · arxiv_version: 2504.13101v3 · doi: 10.48550/arxiv.2504.13101 · pith_short_12: XFMGHLRHPMZW · pith_short_16: XFMGHLRHPMZWDZB2 · pith_short_8: XFMGHLRH

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/XFMGHLRHPMZWDZB22CGI6MCUNN \
  | 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: b95863ae277b3361e43ad08c8f30546b41036ad5e4e60094879fc61a204dd44f

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "799e5b565e320ac6a391b155663723f1b7a1a86080622eb61950ac38f43c68df",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2025-04-17T17:10:33Z",
    "title_canon_sha256": "4a9d23c968b946289113a18aeef699c7d739eedd727a25e20b9cfc00ca9b5480"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2504.13101",
    "kind": "arxiv",
    "version": 3
  }
}