Pith. sign in
Pith Number

pith:IGTGEZNW

pith:2026:IGTGEZNWK3TP4GEOGGXQCFILIR
not attested not anchored not stored refs pending

Similarity-Guided Curriculum Fine-Tuning of LLMs for Neural Architecture Synthesis

Anujaya Vijayakumar, Dmitry Ignatov, Radu Timofte

arxiv:2607.11591 v1 · 2026-07-13 · cs.CV

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{IGTGEZNWK3TP4GEOGGXQCFILIR}

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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.
Receipt and verification
First computed 2026-07-14T02:22:13.829277Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

41a66265b656e6fe188e31af01150b4462796c460e3ad294bd3a1cae3ae21c07

Aliases

arxiv: 2607.11591 · arxiv_version: 2607.11591v1 · doi: 10.48550/arxiv.2607.11591 · pith_short_12: IGTGEZNWK3TP · pith_short_16: IGTGEZNWK3TP4GEO · pith_short_8: IGTGEZNW
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/IGTGEZNWK3TP4GEOGGXQCFILIR \
  | 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: 41a66265b656e6fe188e31af01150b4462796c460e3ad294bd3a1cae3ae21c07
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "7a4af1f254aca3f6e95667423c4e2df549f41de42d8a70da943f63836791cd3b",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-07-13T14:14:30Z",
    "title_canon_sha256": "d2ab90e762c899459088c510129def294ec5566b033219f546f35a38d7d0da8f"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2607.11591",
    "kind": "arxiv",
    "version": 1
  }
}