Pith Number

pith:6VHLBPGN

pith:2026:6VHLBPGNCKC47OACUTX6QWGKC4

not attested not anchored not stored refs pending

Continuous Knowledge Metabolism: Generating Scientific Hypotheses from Evolving Literature

Jinkai Tao, Menglin Yang, Xiaoyu Liu, Yubo Wang

Processing scientific literature in sliding time windows with incremental updates generates better and cheaper hypotheses than batch analysis.

arxiv:2604.12243 v2 · 2026-04-14 · cs.CL · cs.AI

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\usepackage{pith}
\pithnumber{6VHLBPGNCKC47OACUTX6QWGKC4}

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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

CKM-Lite achieves strong predictive coverage through incremental accumulation, outperforming batch processing on hit rate (+2.8%, p=0.006), hypothesis yield (+3.6, p<0.001), best-match alignment (+0.43, p<0.001) while reducing token cost by 92%.

C2weakest assumption

That LLM-based categorization of findings as novel/confirming/contradicting and conditioning on evolution trajectories accurately reflects real scientific knowledge dynamics without introducing systematic bias from the model's training data or judgment process.

C3one line summary

Incremental sliding-window processing of evolving literature via CKM-Lite outperforms batch methods on predictive hit rate, hypothesis yield, and alignment while cutting token costs by 92%, with change-aware analysis revealing quality-coverage trade-offs.

Cited by

1 paper in Pith

Equilibrium Gibbs Bifurcations of Bardeen-AdS Black Holes at Fixed Pressure

Receipt and verification

First computed	2026-07-02T01:18:08.052923Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

f54eb0bccd1285cfb802a4efe858ca1706e15dfda2d437016766410fcc913436

Aliases

arxiv: 2604.12243 · arxiv_version: 2604.12243v2 · doi: 10.48550/arxiv.2604.12243 · pith_short_12: 6VHLBPGNCKC4 · pith_short_16: 6VHLBPGNCKC47OAC · pith_short_8: 6VHLBPGN

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/6VHLBPGNCKC47OACUTX6QWGKC4 \
  | 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: f54eb0bccd1285cfb802a4efe858ca1706e15dfda2d437016766410fcc913436

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "f3830e37652ce4530035b608284b0976a119d71d34708d2a32696b4ad1643ba9",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-04-14T03:41:53Z",
    "title_canon_sha256": "f1ed4b78ad624a0ab1cce7aa27de3fbcf424262528d6abed3de7da0c91b6672e"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.12243",
    "kind": "arxiv",
    "version": 2
  }
}