Pith. sign in
Pith Number

pith:WBQ6FSER

pith:2025:WBQ6FSERYDHP7KZWEGH4LT3T4Q
not attested not anchored not stored refs pending

Retrieval Augmented Learning: A Retrial-based Large Language Model Self-Supervised Learning and Autonomous Knowledge Generation

Hui Wu, Kuihua Huang, Lumin Jiang, Pengfei Li, Runnan Qi, Xian Guo, Xuebo Zhang, Yanan Ni, Zongyuan Li

arxiv:2505.01073 v1 · 2025-05-02 · cs.AI

Add to your LaTeX paper
\usepackage{pith}
\pithnumber{WBQ6FSERYDHP7KZWEGH4LT3T4Q}

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.
Receipt and verification
First computed 2026-07-05T10:57:44.620198Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

b061e2c891c0ceffab36218fc5cf73e40a49b8d4bb56a86d3b985833854b049d

Aliases

arxiv: 2505.01073 · arxiv_version: 2505.01073v1 · doi: 10.48550/arxiv.2505.01073 · pith_short_12: WBQ6FSERYDHP · pith_short_16: WBQ6FSERYDHP7KZW · pith_short_8: WBQ6FSER
Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/WBQ6FSERYDHP7KZWEGH4LT3T4Q \
  | 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: b061e2c891c0ceffab36218fc5cf73e40a49b8d4bb56a86d3b985833854b049d
Canonical record JSON
{
  "metadata": {
    "abstract_canon_sha256": "3930a1f88b00e3c44dab62f877ab3e754564991847ed1a52b318ad0e4304739d",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2025-05-02T07:25:01Z",
    "title_canon_sha256": "95a20ee50583c250c178db728d7126adaeb399009b1c523a310b05aaa0962fc1"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2505.01073",
    "kind": "arxiv",
    "version": 1
  }
}