Pith Number

pith:GGCFYAHK

pith:2026:GGCFYAHKKER3W3OTEQOA5RFBBL

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Signature of Unconventional Superconductivity in the High Temperature Normal State Resistivity

Sheng Ran, Wanyue Lin, Yiwen Liu, Yuchen Wu, Zohar Nussinov

Machine learning finds that resistivity data from 150-300 K predicts superconductivity in iron-based materials.

arxiv:2604.16433 v1 · 2026-04-06 · cond-mat.supr-con

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\pithnumber{GGCFYAHKKER3W3OTEQOA5RFBBL}

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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

using machine learning, we demonstrate a strong correlation between normal-state resistivity and superconductivity in Fe-based superconductors. Remarkably, the predictive information reside in a wide window of 150-300 K, far above Tc of this family.

C2weakest assumption

That the machine learning model extracts physically meaningful correlations tied to the superconducting mechanism rather than dataset-specific statistical patterns or overfitting in the limited collection of Fe-based superconductor samples.

C3one line summary

Machine learning identifies signatures of unconventional superconductivity encoded in the high-temperature normal-state resistivity of Fe-based superconductors.

References

44 extracted · 44 resolved · 1 Pith anchors

[1] B. Keimer, S. A. Kivelson, M. R. Norman, S. Uchida, and J. Zaanen. From quantum matter to high-temperature superconductivity in copper oxides.Nature, 518:179–186, 2015 2015

[2] E. Silva, S. Sarti, R. Fastampa, and M. Giura. Ex- cess conductivity of overdoped Bi 2Sr2CaCu2O8+x crys- tals well abovet c.Physical Review B, 64:144508, 2001 2001

[3] Grbi´ c, Miroslav Poˇ zek, Guichuan Yu, Takao Sasagawa, Martin Greven, and Neven Bariˇ si´ c 2018

[4] Percolative nature of the direct-current para- conductivity in cuprate superconductors.npj Quantum Materials, 3 2018

[5] G. Yu, D.-D. Xia, D. Pelc, R.-H. He, N.-H. Kaneko, T. Sasagawa, Y. Li, X. Zhao, N. Bariˇ si´ c, and et al. Universal precursor of superconductivity in the cuprates. Physical Review B, 99:214502, 2019 2019

Receipt and verification

First computed	2026-06-30T01:17:38.476904Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

31845c00ea5123bb6dd3241c0ec4a10aec2777981d69ebd5267f4660f08c7aa9

Aliases

arxiv: 2604.16433 · arxiv_version: 2604.16433v1 · doi: 10.48550/arxiv.2604.16433 · pith_short_12: GGCFYAHKKER3 · pith_short_16: GGCFYAHKKER3W3OT · pith_short_8: GGCFYAHK

Agent API

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Verify this Pith Number yourself

curl -sH 'Accept: application/ld+json' https://pith.science/pith/GGCFYAHKKER3W3OTEQOA5RFBBL \
  | 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: 31845c00ea5123bb6dd3241c0ec4a10aec2777981d69ebd5267f4660f08c7aa9

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "252c7e9ee1edec7fb7f911388d24b4a5edd0e731a2453ef110bfaa32d44a1f9c",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "cond-mat.supr-con",
    "submitted_at": "2026-04-06T17:13:09Z",
    "title_canon_sha256": "8ff21f68ffff9f9befa8c0c421970c00495a3ed1fe1059467ec0bf7531eebe1a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2604.16433",
    "kind": "arxiv",
    "version": 1
  }
}