pith. sign in
Pith Number

pith:JOIDNAFS

pith:2026:JOIDNAFSVHBD7BADVRWH75TZIV
not attested not anchored not stored refs pending

Instance-Adaptive Online Multicalibration

Aaron Roth, Claire Jie Zhang, Jamie Morgenstern, Zhiming Huang

A single efficient algorithm achieves online multicalibration with error rates that automatically adapt to the complexity of the data sequence.

arxiv:2605.09273 v2 · 2026-05-10 · cs.LG

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{JOIDNAFSVHBD7BADVRWH75TZIV}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

Record completeness

1 Bitcoin timestamp
2 Internet Archive
3 Author claim open · sign in to claim
4 Citations open
5 Replications open
Portable graph bundle live · download bundle · merged state
The bundle contains the canonical record plus signed events. A mirror can host it anywhere and recompute the same current state with the deterministic merge algorithm.

Claims

C1strongest claim

We give a single, efficient algorithm which dynamically interpolates between benign and worst-case sequences by adaptively refining a dyadic grid of prediction values. Its error is controlled by the number of leaves in the refinement tree. ... the rate depends on a threshold-complexity measure of the predictable mean process relative to the group family. We show that this dependence is tight up to logarithmic factors.

C2weakest assumption

The analysis assumes that the threshold-complexity measure of the predictable mean process (relative to the given group family) is well-defined and that the algorithm can observe enough information to decide when to refine the dyadic grid without additional side information.

C3one line summary

A single online multicalibration algorithm adaptively refines a dyadic grid and achieves instance-dependent rates: O(T^{2/3}) worst-case, O(sqrt T) for marginal stochastic data, and O(sqrt(JT)) for J-piecewise stationary means.

Cited by

1 paper in Pith

Receipt and verification
First computed 2026-05-22T01:04:05.798767Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

4b903680b2a9c23f8403ac6c7ff6794559e924842a102d379196fcb4717b86c8

Aliases

arxiv: 2605.09273 · arxiv_version: 2605.09273v2 · doi: 10.48550/arxiv.2605.09273 · pith_short_12: JOIDNAFSVHBD · pith_short_16: JOIDNAFSVHBD7BAD · pith_short_8: JOIDNAFS
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/JOIDNAFSVHBD7BADVRWH75TZIV \
  | 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: 4b903680b2a9c23f8403ac6c7ff6794559e924842a102d379196fcb4717b86c8
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "4b1fa55881a995e83a78a7369943902a1f06e2c5bc30f240d33b9c1a5fc768f9",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-10T02:45:59Z",
    "title_canon_sha256": "6978a7a0611978c68b9d78abd19c794f1e23e7d6b15b362a1b2392bf72371dcf"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.09273",
    "kind": "arxiv",
    "version": 2
  }
}