Pith Number

pith:XSHKFFFC

pith:2026:XSHKFFFCXYSHRKOCTXCDOG4FP5

not attested not anchored not stored refs pending

Tracking Large-scale Shared Bikes with Inertial Motion Learning in GNSS Blocked Environments

(2) DiDi Company, (3) Lancaster University), Chunwei Yang (2), Feng Liu (1), Guobin Wu (2), Kejia Li (1), Qiang Ni (3), Qun Li (2), Ruipeng Gao (1) ((1) Beijing Jiaotong University, Zhiwei Yang (2)

Bicycle mechanical constraints combined with mixture-of-experts learning allow accurate inertial tracking of shared bikes in GNSS-blocked areas.

arxiv:2605.07412 v2 · 2026-05-08 · cs.LG · cs.AI

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\pithnumber{XSHKFFFCXYSHRKOCTXCDOG4FP5}

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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

Experiments with real-world riding data from shared bikes of the DiDi ride-hailing platform demonstrate that our system improves the accuracy of baselines by at least 12%, with wheel speed errors below 0.5 m/s at 95-percentile.

C2weakest assumption

That the periodic pedaling-acceleration patterns can be reliably mapped to wheel speed via the bike's mechanical transmission for dynamic calibration across diverse riders, bikes, and road conditions, and that the mixture-of-experts model generalizes without overfitting to the training rides.

C3one line summary

An inertial navigation framework using mixture-of-experts models and bicycle pedaling constraints improves tracking accuracy by at least 12% over baselines in GNSS-blocked environments, with wheel speed errors below 0.5 m/s at the 95th percentile.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-06-25T01:18:38.490373Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

bc8ea294a2be2478a9c29dc4371b857f5488b71f5b6dbccde149f5dcee98bc2c

Aliases

arxiv: 2605.07412 · arxiv_version: 2605.07412v2 · doi: 10.48550/arxiv.2605.07412 · pith_short_12: XSHKFFFCXYSH · pith_short_16: XSHKFFFCXYSHRKOC · pith_short_8: XSHKFFFC

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/XSHKFFFCXYSHRKOCTXCDOG4FP5 \
  | 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: bc8ea294a2be2478a9c29dc4371b857f5488b71f5b6dbccde149f5dcee98bc2c

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "d8f57c05d1d62c112cd4a37a586018b189c4b5f3a693171203f2ba4bc6fbf4e4",
    "cross_cats_sorted": [
      "cs.AI"
    ],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-08T08:05:00Z",
    "title_canon_sha256": "94d637f0362304cf66b8d05afd6f7d032ff6cba723893b5f84703124df8fca28"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.07412",
    "kind": "arxiv",
    "version": 2
  }
}