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pith:LVEOBLVN

pith:2026:LVEOBLVNVDJSRZVH5QMRJFSNTN
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ScrapMem: A Bio-inspired Framework for On-device Personalized Agent Memory via Optical Forgetting

Jiale Chang, Yuxiang Ren

ScrapMem lets LLM agents keep long-term multimodal memories on edge devices by progressively lowering the resolution of old entries.

arxiv:2605.03804 v2 · 2026-05-05 · cs.AI

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3 Author claim open · sign in to claim
4 Citations open
5 Replications open
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Claims

C1strongest claim

ScrapMem provides three main benefits: (1) strong performance, achieving a new state-of-the-art with a 51.0% Joint@10 score; (2) high storage efficiency, reducing memory usage by up to 93% via optical forgetting; and (3) improved recall, increasing Recall@10 to 70.3% through structured aggregation.

C2weakest assumption

That progressively lowering resolution of older memories via optical forgetting preserves semantic consistency and that the Episodic Memory Graph maintains causal-temporal structure without introducing errors or losing critical multimodal details.

C3one line summary

ScrapMem introduces optical forgetting to compress multimodal memories for LLM agents on edge devices, cutting storage by up to 93% while reaching 51.0% Joint@10 and 70.3% Recall@10 on ATM-Bench.

Receipt and verification
First computed 2026-05-26T02:04:11.967474Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

5d48e0aeada8d328e6a7ec1914964d9b5a69169d60ac1ef1d9d2529ad90acf68

Aliases

arxiv: 2605.03804 · arxiv_version: 2605.03804v2 · doi: 10.48550/arxiv.2605.03804 · pith_short_12: LVEOBLVNVDJS · pith_short_16: LVEOBLVNVDJSRZVH · pith_short_8: LVEOBLVN
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/LVEOBLVNVDJSRZVH5QMRJFSNTN \
  | 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: 5d48e0aeada8d328e6a7ec1914964d9b5a69169d60ac1ef1d9d2529ad90acf68
Canonical record JSON
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    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.AI",
    "submitted_at": "2026-05-05T14:30:30Z",
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