Pith Number

pith:XSZTR3ES

pith:2024:XSZTR3ES7ZIVMIBJVABLCM6KYD

not attested not anchored not stored refs pending

Bringing Generative AI to Adaptive Learning in Education

Chaoli Zhang, Eason Chen, Hang Li, Haoyang Li, Jiliang Tang, Jing Liang, Qingsong Wen, Tianlong Xu, Xing Fan

arxiv:2402.14601 v3 · 2024-02-02 · cs.CY · cs.AI · cs.HC · cs.LG

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{XSZTR3ES7ZIVMIBJVABLCM6KYD}

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.

Cited by

7 papers in Pith

"**Important** You should give me full credits!": Exploring Prompt Injection Attacks on LLM-Based Automatic Grading Systems

ErrorRadar: Benchmarking Complex Mathematical Reasoning of Multimodal Large Language Models Via Error Detection

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning

Beyond Answers: How LLMs Can Pursue Strategic Thinking in Education

Building AI Companions that Prioritise Learning over Performance

Receipt and verification

First computed	2026-07-05T08:38:06.422992Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

bcb338ec92fe51562029a802b133cac0e4bbb76ee10f238e5e62490bcc473b75

Aliases

arxiv: 2402.14601 · arxiv_version: 2402.14601v3 · doi: 10.48550/arxiv.2402.14601 · pith_short_12: XSZTR3ES7ZIV · pith_short_16: XSZTR3ES7ZIVMIBJ · pith_short_8: XSZTR3ES

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/XSZTR3ES7ZIVMIBJVABLCM6KYD \
  | 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: bcb338ec92fe51562029a802b133cac0e4bbb76ee10f238e5e62490bcc473b75

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "339d2b2846a5ed5a4a9a4b8bc17add4e362ce5052bb12cf19b70d7deb5c775ff",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.HC",
      "cs.LG"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CY",
    "submitted_at": "2024-02-02T23:54:51Z",
    "title_canon_sha256": "567de25e5aed751a81b3a10fd7475d9d0c90a2d6991567404a5fde1e738b6c9c"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2402.14601",
    "kind": "arxiv",
    "version": 3
  }
}