pith. sign in
Pith Number

pith:MTFNCJO4

pith:2026:MTFNCJO4E5AXBLCZJZIG7VEPES
not attested not anchored not stored refs pending

The Matching Principle: A Geometric Theory of Loss Functions for Nuisance-Robust Representation Learning

Vishal Rajput

arxiv:2605.22800 v1 · 2026-05-21 · cs.LG · cs.AI · stat.ML

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{MTFNCJO4E5AXBLCZJZIG7VEPES}

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 2026-05-22T02:04:55.367608Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

64cad125dc274170ac594e506fd48f24b46294a9e7f83f6cdfcf93ce4cb2e975

Aliases

arxiv: 2605.22800 · arxiv_version: 2605.22800v1 · doi: 10.48550/arxiv.2605.22800 · pith_short_12: MTFNCJO4E5AX · pith_short_16: MTFNCJO4E5AXBLCZ · pith_short_8: MTFNCJO4
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/MTFNCJO4E5AXBLCZJZIG7VEPES \
  | 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: 64cad125dc274170ac594e506fd48f24b46294a9e7f83f6cdfcf93ce4cb2e975
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "f799ee986573dfa16103908798cbd3a2e46456c1d140743baa416b5817680d55",
    "cross_cats_sorted": [
      "cs.AI",
      "stat.ML"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-21T17:53:28Z",
    "title_canon_sha256": "681d0357482bdc70e0666f254e71180f3d077f9b9187bcf2928f4566f3e5ea18"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.22800",
    "kind": "arxiv",
    "version": 1
  }
}