Pith Number

pith:PFZJSTZF

pith:2024:PFZJSTZFREOEM4BPD76SF4IKCL

not attested not anchored not stored refs resolved

Retrieval-Augmented Generation for AI-Generated Content: A Survey

Bin Cui, Fangcheng Fu, Hailin Zhang, Jie Jiang, Ling Yang, Penghao Zhao, Qinhan Yu, Wentao Zhang, Yunteng Geng, Zhengren Wang

RAG integrates retrieval into AI-generated content to pull relevant data and raise accuracy plus robustness.

arxiv:2402.19473 v6 · 2024-02-29 · cs.CV

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

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{PFZJSTZFREOEM4BPD76SF4IKCL}

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.

Claims

C1strongest claim

RAG introduces the information retrieval process, which enhances the generation process by retrieving relevant objects from available data stores, leading to higher accuracy and better robustness.

C2weakest assumption

That the collected literature and proposed classification of augmentation methodologies comprehensively represent the space of RAG-AIGC integrations without significant omissions or overlaps.

C3one line summary

A survey classifying RAG foundations for AIGC, summarizing enhancements, cross-modal applications, benchmarks, limitations, and future directions.

References

298 extracted · 298 resolved · 16 Pith anchors

[1] Language models are few-shot learners, 2020

[2] Evaluating Large Language Models Trained on Code 2021 · arXiv:2107.03374

[3] GPT-4 Technical Report 2023 · arXiv:2303.08774

[4] LLaMA: Open and Efficient Foundation Language Models 2023 · arXiv:2302.13971

[5] Llama 2: Open Foundation and Fine-Tuned Chat Models 2023 · arXiv:2307.09288

Formal links

2 machine-checked theorem links

Cited by

36 papers in Pith

A Survey on Retrieval-Augmented Text Generation for Large Language Models

Retrieval-Augmented Generation for Natural Language Processing: A Survey

Retrievals Can Be Detrimental: Unveiling the Backdoor Vulnerability of Retrieval-Augmented Diffusion Models

Experiments with Large Language Models on Retrieval-Augmented Generation for Closed-Source Simulation Software

ArchRAG: Attributed Community-based Hierarchical Retrieval-Augmented Generation

Receipt and verification

First computed	2026-05-17T23:38:52.443477Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

7972994f25891c46702f1ffd22f10a12ea81c80ec2692339f4ca73dfaf63c5b5

Aliases

arxiv: 2402.19473 · arxiv_version: 2402.19473v6 · doi: 10.48550/arxiv.2402.19473 · pith_short_12: PFZJSTZFREOE · pith_short_16: PFZJSTZFREOEM4BP · pith_short_8: PFZJSTZF

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/PFZJSTZFREOEM4BPD76SF4IKCL \
  | 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: 7972994f25891c46702f1ffd22f10a12ea81c80ec2692339f4ca73dfaf63c5b5

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "dd05be16be6a8078428a33cb6c7f10a637840084d1458463db62c00796e4d110",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2024-02-29T18:59:01Z",
    "title_canon_sha256": "9e1255553cc92620ddda38ffb254a74f40b20f789a98f2df953ef94cf5c4c0ac"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2402.19473",
    "kind": "arxiv",
    "version": 6
  }
}