pith:G4CSUWHD
RTPrune: Reading-Twice Inspired Token Pruning for Efficient DeepSeek-OCR Inference
RTPrune applies a two-stage pruning process to DeepSeek-OCR that first keeps high-norm visual tokens and then merges the rest with optimal transport to cut inference time while preserving OCR accuracy.
arxiv:2605.00392 v3 · 2026-05-01 · cs.CV · cs.LG
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Claims
Extensive experiments demonstrate state-of-the-art performance, as evidenced by 99.47% accuracy and 1.23× faster prefill on OmniDocBench, achieved with 84.25% token retention when applied to DeepSeek-OCR-Large.
The observed two-stage reading trajectory in DeepSeek-OCR is stable and general enough that pruning high-norm tokens first followed by optimal-transport merging of the rest will preserve textual fidelity across OCR tasks.
RTPrune delivers 99.47% accuracy and 1.23x faster prefill on OmniDocBench for DeepSeek-OCR-Large by retaining only 84.25% of tokens through a reading-twice inspired two-stage pruning process.
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| First computed | 2026-05-22T01:04:03.814269Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
37052a58e36f9396a77613101f5d72d22f0c36fb3f6651797da4d843074d4778
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· · · · ·Agent API
Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/G4CSUWHDN6JZNJ3WCMIB6XLS2I \
| jq -c '.canonical_record' \
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Canonical record JSON
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