pith:6CEVFOQG
Architecture-Induced Recoverability Bias in Differentiable Symbolic Regression
In symbolic regression the tree architecture determines which targets gradient descent recovers, not the structure's expressiveness.
arxiv:2604.23256 v2 · 2026-04-25 · cs.NE · cs.AI · cs.LG · cs.SC
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Record completeness
Claims
Expressiveness guarantees that a solution exists in the search space, but not that gradient descent finds it: the most expressive structure fails on targets that a restricted alternative solves reliably.
That differences in recovery rates across the three structures are attributable to the tree architecture itself rather than to unstated details of initialization, hyperparameter choices, or the specific set of target functions and operators selected for testing.
Different fixed tree architectures in gradient-based symbolic regression produce dramatically different recovery rates, with more expressive structures sometimes failing where restricted ones succeed reliably.
Receipt and verification
| First computed | 2026-05-29T01:04:37.472795Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
f08952ba0690c54cffcd55951bdb2ef0f3db291ed3866fc2efc041c58399f1d6
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/6CEVFOQGSDCUZ76NKWKRXWZO6D \
| 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: f08952ba0690c54cffcd55951bdb2ef0f3db291ed3866fc2efc041c58399f1d6
Canonical record JSON
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