pith:3PWW4YR7
The Distributed Complexity Landscape on Trees Depends on the Knowledge About the Network Size
The complexity of LCLs on trees changes when nodes lack exact knowledge of network size n.
arxiv:2605.12787 v1 · 2026-05-12 · cs.DC · cs.CC
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Claims
If nodes are oblivious to n, or know only a polynomial upper bound on it, then even on trees, the theory of LCLs changes significantly: randomness helps in more cases; some problems have very unnatural complexities; and some have a lower bound that depends on which definition of Ω we use!
That the prior classifications of LCL complexity on trees, which relied on nodes knowing n, can be directly compared or extended without re-deriving the entire landscape under the new knowledge assumptions.
Knowledge of network size n alters the distributed complexity of LCL problems on trees, making randomness useful in more cases and creating unnatural complexity classes.
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| First computed | 2026-05-18T03:09:13.010336Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
dbed6e623feee1c80e65a2892d63118139caa72395e743fcaf7ca61692cbae33
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/3PWW4YR753Q4QDTFUKES2YYRQE \
| 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: dbed6e623feee1c80e65a2892d63118139caa72395e743fcaf7ca61692cbae33
Canonical record JSON
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