pith:A6CSARVH
ASTRA: Adaptive Semantic Tree Reasoning Architecture for Complex Table Question Answering
Reconstructing tables as adaptive logical semantic trees lets LLMs reach state-of-the-art accuracy on complex question answering.
arxiv:2604.08999 v2 · 2026-04-10 · cs.CL · cs.AI · cs.LG
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\pithnumber{A6CSARVHR73X6PMQCCLI6CD2BF}
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Record completeness
Claims
Experiments on complex table benchmarks demonstrate that our method achieves state-of-the-art (SOTA) performance.
That LLMs can reliably reconstruct tables into Logical Semantic Trees that capture all relevant hierarchical dependencies without introducing errors, and that the dual-mode reasoning will produce verifiable gains over single-mode baselines.
ASTRA builds adaptive semantic trees from tables and uses dual textual-symbolic reasoning to achieve SOTA performance on complex table question answering.
Formal links
Receipt and verification
| First computed | 2026-05-27T01:05:54.051611Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
07852046a78ff77f3d9010968f087a095e3256994197d497b00295ec12e220fe
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/A6CSARVHR73X6PMQCCLI6CD2BF \
| 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: 07852046a78ff77f3d9010968f087a095e3256994197d497b00295ec12e220fe
Canonical record JSON
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"license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
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