Pith. sign in
Pith Number

pith:WQYQ7PYA

pith:2023:WQYQ7PYA7N3J2OT7QF6T365QIL
not attested not anchored not stored refs pending

Towards Memory-Efficient Training for Extremely Large Output Spaces -- Learning with 500k Labels on a Single Commodity GPU

Erik Schultheis, Rohit Babbar

arxiv:2306.03725 v1 · 2023-06-06 · cs.LG · cs.AI · cs.DC

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WQYQ7PYA7N3J2OT7QF6T365QIL}

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

1 paper in Pith

Receipt and verification
First computed 2026-07-05T07:09:49.306523Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

b4310fbf00fb769d3a7f817d3dfbb042deffd23fc23c84258dfcd18a087f0b35

Aliases

arxiv: 2306.03725 · arxiv_version: 2306.03725v1 · doi: 10.48550/arxiv.2306.03725 · pith_short_12: WQYQ7PYA7N3J · pith_short_16: WQYQ7PYA7N3J2OT7 · pith_short_8: WQYQ7PYA
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WQYQ7PYA7N3J2OT7QF6T365QIL \
  | 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: b4310fbf00fb769d3a7f817d3dfbb042deffd23fc23c84258dfcd18a087f0b35
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "e16a9cb2e5b1a5dac4b9ef1eab259ee44b146ebab4c84cc883a94e9d92b0de0c",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.DC"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2023-06-06T14:44:52Z",
    "title_canon_sha256": "c89afbfe403ef7fae818ce12aac14ea35c5ecebfc2a9f8062288ee7eed1ac085"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2306.03725",
    "kind": "arxiv",
    "version": 1
  }
}