Pith Number

pith:SYENSNTG

pith:2026:SYENSNTG2SJZO5TJAC3IIFQTZ4

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Multi-Modal Learning meets Genetic Programming: Analyzing Alignment in Latent Space Optimization

Benjamin L\'eger, Christian Gagn\'e, Kazem Meidani

SNIP's cross-modal alignment does not improve during optimization even as fitness rises, and stays too coarse for effective symbolic search.

arxiv:2604.08324 v3 · 2026-04-09 · cs.NE · cs.AI

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\pithnumber{SYENSNTG2SJZO5TJAC3IIFQTZ4}

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4 Citations open

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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.

Claims

C1strongest claim

Our experiments show that: (1) cross-modal alignment does not improve during optimization, even as fitness increases, and (2) the alignment learned by SNIP is too coarse to efficiently conduct principled search in the symbolic space.

C2weakest assumption

The assumption that the chosen metrics for cross-modal alignment and the optimization process accurately capture whether the alignment enables effective bi-modal search, without confounding factors from the specific experimental setup or choice of SNIP hyperparameters.

C3one line summary

Experiments reveal that cross-modal alignment in SNIP does not improve with increasing fitness and is too coarse for effective symbolic search in latent space optimization for symbolic regression.

Receipt and verification

First computed	2026-06-02T02:04:17.239321Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

9608d93666d49397766900b6841613cf104938c82254b4736b32a4766ae87f48

Aliases

arxiv: 2604.08324 · arxiv_version: 2604.08324v3 · doi: 10.48550/arxiv.2604.08324 · pith_short_12: SYENSNTG2SJZ · pith_short_16: SYENSNTG2SJZO5TJ · pith_short_8: SYENSNTG

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/SYENSNTG2SJZO5TJAC3IIFQTZ4 \
  | 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: 9608d93666d49397766900b6841613cf104938c82254b4736b32a4766ae87f48

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "5403a71c759e81aa0543492264ba46c90be7a2eba9751d257b99a089eab6d560",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.NE",
    "submitted_at": "2026-04-09T14:55:36Z",
    "title_canon_sha256": "3c9ebf048320b667acb632d18395369f479a7eaa5c856ec005ba4cd395d5543d"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.08324",
    "kind": "arxiv",
    "version": 3
  }
}