Pith Number

pith:64ADIL5X

pith:2026:64ADIL5XRZZDJGOBJJP3RBGJS7

not attested not anchored not stored refs resolved

Retrieval-Augmented Tutoring for Algorithm Tracing and Problem-Solving in AI Education

Arto Hellas, Aum Pandya, Bita Akram, Griffin Pitts, Juho Leinonen, Mragisha Jain, Narges Norouzi, Peter Brusilovsky, Tirth Bhatt

KITE uses retrieval from course materials and Socratic scaffolding to help simulated students give more accurate answers on algorithm tracing and procedural tasks.

arxiv:2605.12988 v1 · 2026-05-13 · cs.AI · cs.CY · cs.IR

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\usepackage{pith}
\pithnumber{64ADIL5XRZZDJGOBJJP3RBGJS7}

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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

using simulated students, KITE's feedback helped the student models produce more accurate follow-up responses on procedural and tracing questions, suggesting that its scaffolding can support algorithmic problem-solving.

C2weakest assumption

The two-turn simulated student pipeline with a weaker language model accurately reflects how real human students would interpret and benefit from the tutoring feedback.

C3one line summary

KITE is a RAG-based tutoring system delivering intent-aware Socratic feedback from course content that improves accuracy of simulated student responses on algorithm tracing and procedural questions.

References

33 extracted · 33 resolved · 1 Pith anchors

[1] Ceur Workshop Proceedings , volume= 2025

[2] Educational psychology review , volume= 2007

[3] Proceedings of the Fourth Workshop on Bridging Human-Computer Interaction and Natural Language Processing (HCI+ NLP) , pages=

[4] Trust and Reliance on AI in Education: AI Literacy and Need for Cognition as Moderators · arXiv:2604.01114

[5] arXiv preprint arXiv:2602.20547 (2026)

Receipt and verification

First computed	2026-05-18T03:09:00.562477Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f700342fb78e723499c14a5fb884c997eafadb2d4dd55af9df3b35ea50958b89

Aliases

arxiv: 2605.12988 · arxiv_version: 2605.12988v1 · doi: 10.48550/arxiv.2605.12988 · pith_short_12: 64ADIL5XRZZD · pith_short_16: 64ADIL5XRZZDJGOB · pith_short_8: 64ADIL5X

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/64ADIL5XRZZDJGOBJJP3RBGJS7 \
  | 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: f700342fb78e723499c14a5fb884c997eafadb2d4dd55af9df3b35ea50958b89

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "ec3e230d5f53456325420a01efbc1be166e5bdbd9984d058fa56da407920397f",
    "cross_cats_sorted": [
      "cs.CY",
      "cs.IR"
    ],
    "license": "http://creativecommons.org/licenses/by-nc-nd/4.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-13T04:37:45Z",
    "title_canon_sha256": "8fd939785bce6ac8af5d630913440a74e3ea2de7032a9701b3fdaf293ea49988"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.12988",
    "kind": "arxiv",
    "version": 1
  }
}