Pith Number

pith:2UUCGQRO

pith:2026:2UUCGQROSC5N6U76BXTXUU6G24

not attested not anchored not stored refs resolved

Discovering interpretable low-dimensional dynamics using maximum entropy

Juan Guan, Michael C. Chung, Purushottam D. Dixit, Tarran Mohan

Edwin compresses high-dimensional observations into low-dimensional symbolic dynamics using maximum entropy.

arxiv:2605.16724 v1 · 2026-05-16 · q-bio.QM

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\pithnumber{2UUCGQROSC5N6U76BXTXUU6G24}

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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

Across all systems, Edwin recovers low dimensional symbolic models that are physically interpretable and generalize to unseen conditions.

C2weakest assumption

The high-dimensional observations can be effectively compressed using the dynamic maximum entropy principle into a latent space where the dynamics admit sparse symbolic descriptions that couple to external metadata.

C3one line summary

Edwin integrates dynamic maximum entropy dimensionality reduction with symbolic regression to recover physically interpretable low-dimensional dynamics from high-dimensional observations that generalize to unseen conditions.

References

90 extracted · 90 resolved · 5 Pith anchors

[1] Single cells make big data: New challenges and opportunities in transcriptomics 2017

[2] Eleven grand challenges in single-cell data science 2020

[3] The evolution of Big Data in neuroscience and neurology 2023

[4] Neuroscience: Big brain, big data 2017

[5] Big data and machine learning for materials science 2021

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:02:38.541059Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

d52823422e90badf53fe0de77a53c6d7382544801ccd17515ba75513d2e6bbf0

Aliases

arxiv: 2605.16724 · arxiv_version: 2605.16724v1 · doi: 10.48550/arxiv.2605.16724 · pith_short_12: 2UUCGQROSC5N · pith_short_16: 2UUCGQROSC5N6U76 · pith_short_8: 2UUCGQRO

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/2UUCGQROSC5N6U76BXTXUU6G24 \
  | 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: d52823422e90badf53fe0de77a53c6d7382544801ccd17515ba75513d2e6bbf0

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "4de7a8c82f107af1a8eb3ffd248e9f149c6ed26f396ac2a55278d005d285e27e",
    "cross_cats_sorted": [],
    "license": "http://creativecommons.org/licenses/by/4.0/",
    "primary_cat": "q-bio.QM",
    "submitted_at": "2026-05-16T00:18:21Z",
    "title_canon_sha256": "77360d0f472ce0c0edf780a77ed5a349d112d746a6e0686c28d38ae3c16d616a"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2605.16724",
    "kind": "arxiv",
    "version": 1
  }
}