pith:5OQHHG2Y
Syntactically-guided Information Maintenance in Sentence Comprehension
Syntactic structure tells readers which sentence parts to keep active in memory for upcoming predictions.
arxiv:2604.27468 v2 · 2026-04-30 · cs.CL
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Claims
Although these factors have been treated as competing hypotheses in the literature, our account predicts that they are not reducible to one another. We show this is the case, using a naturalistic reading time dataset in Japanese... there is a tradeoff such that readers that slow down for maintenance tend to benefit more from predictability.
That the syntactic properties of Japanese create a clear contrast allowing the two maintenance factors to be distinguished in reading time data, and that reading times directly index maintenance costs without major confounds from other processing variables.
Syntactic structure guides selective maintenance via distinct costs from predicted heads and incomplete dependencies, supported by Japanese reading time data showing they are irreducible and interact with predictability.
Receipt and verification
| First computed | 2026-05-25T02:01:21.323888Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
eba0739b589a570f8d6383f2409300a9f2ba6e380735d3dfb82a91a43df7c5ce
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/5OQHHG2YTJLQ7DLDQPZEBEYAVH \
| 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: eba0739b589a570f8d6383f2409300a9f2ba6e380735d3dfb82a91a43df7c5ce
Canonical record JSON
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