Pith Number

pith:LX2ZLAUE

pith:2026:LX2ZLAUENEMKJO76JZAJGZTCEE

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REALM: An RGB- and Event-Aligned Latent Manifold for Cross-Modal Perception

David B. Lindell, Jonathan Kelly, Vincenzo Polizzi

Event data can be projected into pretrained RGB latent spaces using low-rank adaptation to enable zero-shot application of frozen image decoders to raw event streams.

arxiv:2605.00271 v3 · 2026-04-30 · cs.CV · cs.AI · cs.RO

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\usepackage{pith}
\pithnumber{LX2ZLAUENEMKJO76JZAJGZTCEE}

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Record completeness

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3 Author claim open · sign in to claim

4 Citations open

5 Replications open

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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

REALM enables the direct, zero-shot application of complex, frozen image-trained decoders, such as MASt3R, to raw event data. We demonstrate state-of-the-art performance in wide-baseline feature matching, significantly outperforming specialized architectures.

C2weakest assumption

That low-rank adaptation of frozen RGB backbones is sufficient to bridge the modality gap and unlock geometric and semantic priors for asynchronous event streams without task-specific training or substantial performance loss.

C3one line summary

REALM aligns event streams with RGB ViT latent spaces via LoRA, enabling zero-shot transfer of image-trained linear heads and complex decoders like MASt3R to raw event data with reported SOTA wide-baseline matching performance.

Receipt and verification

First computed	2026-07-02T01:17:31.889775Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

5df59582846918a4bbfe4e40936662212208c14917e55c71c788c76b0bd3985e

Aliases

arxiv: 2605.00271 · arxiv_version: 2605.00271v3 · doi: 10.48550/arxiv.2605.00271 · pith_short_12: LX2ZLAUENEMK · pith_short_16: LX2ZLAUENEMKJO76 · pith_short_8: LX2ZLAUE

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/LX2ZLAUENEMKJO76JZAJGZTCEE \
  | 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: 5df59582846918a4bbfe4e40936662212208c14917e55c71c788c76b0bd3985e

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "0eb613baf49d2f00ea973a5b1a8fadf322172b6ecd3e808e9a27cc0f643b939d",
    "cross_cats_sorted": [
      "cs.AI",
      "cs.RO"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.CV",
    "submitted_at": "2026-04-30T22:14:36Z",
    "title_canon_sha256": "5a62fa8feda0a0bd9674b6cbd3b19ced6f16d86b8afd15d99e7a1e3a41152ea0"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.00271",
    "kind": "arxiv",
    "version": 3
  }
}