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Pith Number

pith:NVULU467

pith:2024:NVULU467TEWDMY3RUXQL3W4PHK
not attested not anchored not stored refs pending

Grass: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients

Aashiq Muhamed, David Woodruff, Mona Diab, Oscar Li, Virginia Smith

arxiv:2406.17660 v1 · 2024-06-25 · cs.LG

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\usepackage{pith}
\pithnumber{NVULU467TEWDMY3RUXQL3W4PHK}

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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

2 papers in Pith

Receipt and verification
First computed 2026-07-05T08:36:38.362825Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6d68ba73df992c366371a5e0bddb8f3aabea446f34b952774721f9f9b375614e

Aliases

arxiv: 2406.17660 · arxiv_version: 2406.17660v1 · doi: 10.48550/arxiv.2406.17660 · pith_short_12: NVULU467TEWD · pith_short_16: NVULU467TEWDMY3R · pith_short_8: NVULU467
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/NVULU467TEWDMY3RUXQL3W4PHK \
  | 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: 6d68ba73df992c366371a5e0bddb8f3aabea446f34b952774721f9f9b375614e
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "690d7f4f735fbdd53103b77cd3eba7e89f6a265ef7fe642ff7c2ad08eb3a893f",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2024-06-25T15:50:32Z",
    "title_canon_sha256": "3bd4049df73af7179c735c9efa83ade1355aad82ed05c7753d2de02bc245608c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2406.17660",
    "kind": "arxiv",
    "version": 1
  }
}