Pith Number

pith:UG5FKO4W

pith:2026:UG5FKO4WCGESIVD53VOWXGCOB2

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From Actions to Understanding: Conformal Interpretability of Temporal Concepts in LLM Agents

Adam D. Cobb, Alexander M. Berenbeim, Anirban Roy, Colin Samplawski, Daniel Elenius, Krishiv Agarwal, Manoj Acharya, Nathaniel D. Bastian, Ramneet Kaur, Susmit Jha, Trilok Padhi, Ugur Kursuncu

Conformal prediction on step-wise rewards reveals linearly separable temporal concepts in LLM agent activations that align with task success.

arxiv:2604.19775 v2 · 2026-03-27 · cs.AI · cs.CL · cs.ET · cs.MA · cs.RO

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3 Author claim open · sign in to claim

4 Citations open

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Claims

C1strongest claim

Experimental results on two simulated interactive environments, namely ScienceWorld and AlfWorld, demonstrate that these temporal concepts are linearly separable, revealing interpretable structures aligned with task success.

C2weakest assumption

That step-wise reward modeling combined with conformal prediction can reliably and accurately label the model's internal representations at each step as successful or failing without introducing significant labeling noise or bias.

C3one line summary

A conformal interpretability method labels LLM agent states step-by-step and extracts linearly separable temporal concept directions aligned with task success on ScienceWorld and AlfWorld.

Formal links

2 machine-checked theorem links

Cited by

1 paper in Pith

Doomed from the Start: Early Abort of LLM Agent Episodes via a Recall-Controlled Probe Cascade

Receipt and verification

First computed	2026-07-03T00:16:53.820305Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

a1ba553b96118924547ddd5d6b984e0ea2233ef6482120d75116a3e5819e02d7

Aliases

arxiv: 2604.19775 · arxiv_version: 2604.19775v2 · doi: 10.48550/arxiv.2604.19775 · pith_short_12: UG5FKO4WCGES · pith_short_16: UG5FKO4WCGESIVD5 · pith_short_8: UG5FKO4W

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/UG5FKO4WCGESIVD53VOWXGCOB2 \
  | 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: a1ba553b96118924547ddd5d6b984e0ea2233ef6482120d75116a3e5819e02d7

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d43d4b65470617b7b2d0f4c5a7daf5818c822aebffc10f429f3fad4ee5967346",
    "cross_cats_sorted": [
      "cs.CL",
      "cs.ET",
      "cs.MA",
      "cs.RO"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-03-27T22:29:01Z",
    "title_canon_sha256": "8c848ffb436922030b91cde08c7d626e626f02ab207366f6154b86f3d008a624"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.19775",
    "kind": "arxiv",
    "version": 2
  }
}