Pith Number

pith:RUFIWJF6

pith:2025:RUFIWJF6ODYYSQATKH2H2IUDN5

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Exploring the Limits of Machine Learning Classification of Neutron Star Matter Models

Wasif Husain

Machine learning classifiers separate some neutron star matter models but not others based on mass, radius and oscillation features.

arxiv:2512.23758 v3 · 2025-12-28 · astro-ph.HE · astro-ph.IM · hep-ph

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\usepackage{pith}
\pithnumber{RUFIWJF6ODYYSQATKH2H2IUDN5}

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Record completeness

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2 Internet Archive

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

Certain matter scenarios can be separated under controlled assumptions, while others exhibit substantial overlap, reflecting fundamental similarities in their effective equations of state.

C2weakest assumption

The synthetic dataset is generated under fixed microphysical and transport assumptions; if real neutron-star matter deviates from these assumptions or if observational noise is included, the reported separability may not hold.

C3one line summary

Machine-learning classification of neutron-star matter models succeeds for some compositions but fails for others due to intrinsic degeneracies in mass-radius-oscillation features under fixed microphysical assumptions.

Receipt and verification

First computed	2026-05-26T02:05:05.281879Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

8d0a8b24be70f189401351f47d22836f4e45fde3976fde2fc316a4f09b7526d2

Aliases

arxiv: 2512.23758 · arxiv_version: 2512.23758v3 · doi: 10.48550/arxiv.2512.23758 · pith_short_12: RUFIWJF6ODYY · pith_short_16: RUFIWJF6ODYYSQAT · pith_short_8: RUFIWJF6

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/RUFIWJF6ODYYSQATKH2H2IUDN5 \
  | 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: 8d0a8b24be70f189401351f47d22836f4e45fde3976fde2fc316a4f09b7526d2

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "432ea29969a9dc5e2447dca83de9b4b20d72ed86304b1fb0e75a70c078baff8c",
    "cross_cats_sorted": [
      "astro-ph.IM",
      "hep-ph"
    ],
    "license": "http://creativecommons.org/publicdomain/zero/1.0/",
    "primary_cat": "astro-ph.HE",
    "submitted_at": "2025-12-28T13:20:57Z",
    "title_canon_sha256": "324c69fc5ef18b58c84cd3c06d6907f6ce084fb538acb4d01537831fc61394cd"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2512.23758",
    "kind": "arxiv",
    "version": 3
  }
}