Pith Number

pith:QNYLZNYH

pith:2026:QNYLZNYHCMSV7NTIN76TXR2L5H

not attested not anchored not stored refs pending

DYCP: Dynamic Context Pruning for Long-Form Dialogue with LLMs

Jinho D. Choi, Jonathan Zhang, Nayoung Choi

DyCP dynamically prunes long dialogue history to relevant segments per turn, preserving quality with lower costs.

arxiv:2601.07994 v5 · 2026-01-12 · cs.CL · cs.AI

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\pithnumber{QNYLZNYHCMSV7NTIN76TXR2L5H}

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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

DyCP achieves competitive answer quality in downstream generation, with more selective context usage and improved inference efficiency across three long-form dialogue benchmarks and multiple LLM backends.

C2weakest assumption

That relevant dialogue segments can be reliably identified and retrieved dynamically from the current turn alone, without offline memory construction or predefined topic boundaries, while preserving sequential dialogue structure.

C3one line summary

DyCP dynamically prunes dialogue context to relevant segments conditioned on the current turn, delivering competitive answer quality with reduced context usage and faster inference on long-form benchmarks.

Cited by

1 paper in Pith

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Receipt and verification

First computed	2026-06-09T02:07:17.306366Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

8370bcb70713255fb6686ffd3bc74be9e66fff495a300a415e1b1945cbe11d7a

Aliases

arxiv: 2601.07994 · arxiv_version: 2601.07994v5 · doi: 10.48550/arxiv.2601.07994 · pith_short_12: QNYLZNYHCMSV · pith_short_16: QNYLZNYHCMSV7NTI · pith_short_8: QNYLZNYH

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/QNYLZNYHCMSV7NTIN76TXR2L5H \
  | 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: 8370bcb70713255fb6686ffd3bc74be9e66fff495a300a415e1b1945cbe11d7a

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "3c2bfc3e30f86fda09a226c2cf6bd74b54e63f3108857e42766cc4e5afdf9149",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cs.CL",
    "submitted_at": "2026-01-12T20:47:50Z",
    "title_canon_sha256": "609eb0ce99f3c8938f59cd2cfebcafdf2e84863b70abc697daf48b7b4c4002e8"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2601.07994",
    "kind": "arxiv",
    "version": 5
  }
}