Pith Number

pith:DHTKYIC4

pith:2026:DHTKYIC4KDJ2LWSGONOGUBQUUW

not attested not anchored not stored refs resolved

AdaptNC: Adaptive Nonconformity Scores for Conformal Prediction under Distribution Shift

Aditya Singh, Rahul Mangharam, Renukanandan Tumu

AdaptNC adapts both nonconformity scores and thresholds online to shrink prediction regions under distribution shifts while preserving coverage.

arxiv:2602.01629 v2 · 2026-02-02 · cs.LG · cs.RO · cs.SY · eess.SY

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\pithnumber{DHTKYIC4KDJ2LWSGONOGUBQUUW}

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Record completeness

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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

AdaptNC significantly reduces prediction region volume compared to state-of-the-art threshold-only baselines while maintaining target coverage levels.

C2weakest assumption

The adaptive reweighting of nonconformity scores combined with the replay buffer preserves the marginal coverage guarantees of conformal prediction during online transitions under distribution shift.

C3one line summary

AdaptNC jointly adapts nonconformity scores and thresholds in conformal prediction to shrink prediction region volumes under distribution shifts while preserving target coverage.

References

16 extracted · 16 resolved · 0 Pith anchors

[1] doi: 10.1016/j.jmva.2005 2005 · doi:10.1016/j.jmva.2005

[2] Gao, C., Shan, L., Srinivas, V ., and Vijayaragha- van, A

[3] URL https://openreview.net/forum? id=oNDhnGrD51&noteId=7kR09SC5BY. Gibbs, I. and Candes, E. Adaptive Conformal In- ference Under Distribution Shift. InAdvances in Neural Information Processing Systems 2021

[4] URL http://jmlr.org/ papers/v25/22-1218.html 1991 · doi:10.1103/physreve.51

[5] 1103/PhysRevE.51.4282 1994 · doi:10.52202/079017-3158

Formal links

1 machine-checked theorem link

Receipt and verification

First computed	2026-05-18T02:44:31.710013Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

19e6ac205c50d3a5da46735c6a0614a5b2eca169b7f25d77cdf324fea1e4662d

Aliases

arxiv: 2602.01629 · arxiv_version: 2602.01629v2 · doi: 10.48550/arxiv.2602.01629 · pith_short_12: DHTKYIC4KDJ2 · pith_short_16: DHTKYIC4KDJ2LWSG · pith_short_8: DHTKYIC4

Agent API

Resolver JSON Graph JSON Events JSON Schema Signing key

Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/DHTKYIC4KDJ2LWSGONOGUBQUUW \
  | 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: 19e6ac205c50d3a5da46735c6a0614a5b2eca169b7f25d77cdf324fea1e4662d

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d820c87328a8b4a7f78b3a67516116579d372eaa0abfa28ce00247325bf55687",
    "cross_cats_sorted": [
      "cs.RO",
      "cs.SY",
      "eess.SY"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-sa/4.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-02-02T04:41:35Z",
    "title_canon_sha256": "12c979088a762b89d10ad00d7cd5e4ab3ca3983a15c3a5deb01f832554a3ca07"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2602.01629",
    "kind": "arxiv",
    "version": 2
  }
}