Pith Number

pith:LWMEFTQZ

pith:2023:LWMEFTQZAY6PH2B4AUPHJU7I6S

not attested not anchored not stored refs resolved

Techniques for supercharging academic writing with generative AI

Zhicheng Lin

A human-AI collaborative framework shows how generative AI can be integrated into academic writing to improve efficiency while preserving rigor.

arxiv:2310.17143 v4 · 2023-10-26 · cs.CY · cs.CL

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\usepackage{pith}
\pithnumber{LWMEFTQZAY6PH2B4AUPHJU7I6S}

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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

The prudent integration of AI into academic writing can ease the communication burden, empower authors, accelerate discovery, and promote diversity in science.

C2weakest assumption

That the proposed two-stage model, assistance types, and prompting techniques will produce measurable improvements in writing quality or efficiency when applied in practice, an assumption not tested with data or user studies in the provided abstract.

C3one line summary

The paper outlines a conceptual framework and prompting techniques for incorporating generative AI into academic writing routines such as outlining, drafting, and editing.

References

41 extracted · 41 resolved · 1 Pith anchors

[1] Amano, T. et al. PLoS Biol. 21, e3002184 (2023) 2023

[2] Lin, Z. & Li, N. Perspect. Psychol. Sci. 18, 358–377 (2023) 2023

[3] Lin, Z. R. Soc. Open Sci. 10, 230658 (2023) 2023

[4] Birhane, A., Kasirzadeh, A., Leslie, D. & Wachter, S. Nat. Rev. Phys. 5, 277–280(2023) 2023

[5] Thirunavukarasu, A. J. et al. Nat. Med. 29, 1930–1940 (2023) 1930

Receipt and verification

First computed	2026-06-26T01:15:41.765387Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

5d9842ce19063cf3e83c051e74d3e8f4832a2be98106e2a221d9a69461fa9aaf

Aliases

arxiv: 2310.17143 · arxiv_version: 2310.17143v4 · doi: 10.48550/arxiv.2310.17143 · pith_short_12: LWMEFTQZAY6P · pith_short_16: LWMEFTQZAY6PH2B4 · pith_short_8: LWMEFTQZ

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/LWMEFTQZAY6PH2B4AUPHJU7I6S \
  | 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: 5d9842ce19063cf3e83c051e74d3e8f4832a2be98106e2a221d9a69461fa9aaf

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "4a077f5534485bac93a4acda78966cd2ce5cf36646301a7981f8a73ff800e7f0",
    "cross_cats_sorted": [
      "cs.CL"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CY",
    "submitted_at": "2023-10-26T04:35:00Z",
    "title_canon_sha256": "f8d5e436b1b226c88ab9df964db1d683aff4373c23a1072076953a88f9f1dc30"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2310.17143",
    "kind": "arxiv",
    "version": 4
  }
}