pith:ZOPBLPKJ
Dynamic Non-Bayesian Persuasion
Divisibility of a receiver's updating rule determines when a sender gains nothing from dynamic rather than static persuasion.
arxiv:2508.12328 v3 · 2025-08-17 · econ.TH
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Record completeness
Claims
Under mild regularity conditions, divisibility characterizes the receiver's updating rules under which the sender is indifferent between static and dynamic persuasion in any environment.
The paper assumes that the sender can commit to a sequence of experiments whose joint distribution is known to the receiver in advance and that the receiver's updating rule satisfies the stated mild regularity conditions that make the characterization hold.
Divisibility of updating rules characterizes when senders are indifferent between static and dynamic persuasion for non-Bayesian receivers under mild conditions.
Formal links
Cited by
Receipt and verification
| First computed | 2026-06-09T01:05:08.831272Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
cb9e15bd4941775a187dddb88d5b77b43cfaf382af9d7e54b09f4add37e02aa5
Aliases
· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/ZOPBLPKJIF3VUGD53W4I2W3XWQ \
| 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: cb9e15bd4941775a187dddb88d5b77b43cfaf382af9d7e54b09f4add37e02aa5
Canonical record JSON
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"primary_cat": "econ.TH",
"submitted_at": "2025-08-17T10:56:18Z",
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