Pith Number

pith:B7PR4ZJ7

pith:2026:B7PR4ZJ7KR7M6W6XMKJYYRD4AZ

not attested not anchored not stored refs pending

Unlocking air traffic flow prediction through microscopic aircraft-state modeling

Anqi Liu, Bin Wang, Feng Hong, Guiyuan Jiang, Hina Birahmani, Jiangtao Zhao, Peilan He, Tianrui Li, Yanwei Yu, Yanyong Huang, Yuanyuan Hou

Predicting air traffic flow directly from current aircraft states improves accuracy over methods that aggregate past flows.

arxiv:2605.10083 v2 · 2026-05-11 · cs.LG

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\usepackage{pith}
\pithnumber{B7PR4ZJ7KR7M6W6XMKJYYRD4AZ}

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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 on a large-scale real-world dataset show that AeroSense consistently improves predictive accuracy over aggregation-based forecasting approaches, particularly during high-density traffic periods.

C2weakest assumption

That an end-to-end learned mapping from instantaneous microscopic aircraft states to future regional flow can be established without historical look-back windows and that this mapping preserves all necessary dynamics for accurate prediction.

C3one line summary

AeroSense predicts regional air traffic flow from instantaneous aircraft states rather than historical time-series aggregates, showing accuracy gains especially in dense traffic.

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-06-19T16:11:24.347838Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

0fdf1e653f547ecf5bd762938c447c065fe15a34040929098113a50837bce1f5

Aliases

arxiv: 2605.10083 · arxiv_version: 2605.10083v2 · doi: 10.48550/arxiv.2605.10083 · pith_short_12: B7PR4ZJ7KR7M · pith_short_16: B7PR4ZJ7KR7M6W6X · pith_short_8: B7PR4ZJ7

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/B7PR4ZJ7KR7M6W6XMKJYYRD4AZ \
  | 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: 0fdf1e653f547ecf5bd762938c447c065fe15a34040929098113a50837bce1f5

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "e23b789d8344d9d0e4c3333f47a4b30d87d43b88af4d830065bb0b158297cb5b",
    "cross_cats_sorted": [],
    "license": "http://arxiv.org/licenses/nonexclusive-distrib/1.0/",
    "primary_cat": "cs.LG",
    "submitted_at": "2026-05-11T07:04:55Z",
    "title_canon_sha256": "f74ca92f4e24b51645f1aabf30a6a11974c12aa50adfa08d157fd4e84db077b4"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.10083",
    "kind": "arxiv",
    "version": 2
  }
}