Pith Number

pith:YJTAXBSK

pith:2026:YJTAXBSKYFWE7SG2IYMQU65ML6

not attested not anchored not stored refs resolved

Reconciling Latent Variables and Networks: Exploring and extending the Psychometric-Toolbox

Augustin Kelava, Kevin Kistermann, Vivato V. Andriamiarana

Reviewing connections between network psychometrics and classical models like IRT, SEM, and GLM extends the psychometric toolbox and fosters collaboration across fields.

arxiv:2603.26116 v2 · 2026-03-27 · stat.ME · stat.AP

Open paper page JSON Open Graph Bundle Merged state Verified badge What is a Pith Number?

Add to your LaTeX paper

\usepackage{pith}
\pithnumber{YJTAXBSKYFWE7SG2IYMQU65ML6}

Prints a linked badge after your title and injects PDF metadata. Compiles on arXiv. Learn more · Embed verified badge

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

Highlighting these methodological commonalities may foster collaboration across research fields that have traditionally remained largely independent and may enable a meaningful division of labor between the development of statistical methodology and its practical implementation for empirical research through software tools.

C2weakest assumption

That an exploratory literature search combined with visual synthesis is sufficient to accurately identify and extend all relevant connections between network psychometrics and classical models without missing key prior work or introducing selection bias in the reviewed developments.

C3one line summary

A review and visual synthesis of links between network models and latent variable approaches in psychometrics, proposing extensions to the methodological toolbox via cross-domain methods.

References

19 extracted · 19 resolved · 2 Pith anchors

[1] J., & Zacharias, H 2020 · doi:10.1038/s41467-021-20890-5

[2] https://doi.org/10.1214/23-SS145 PREPRINT - 26.03.2026 - THIS PAPER HAS NOT BEEN PEER REVIEWED. 56 Cabello, J. G. (2022). Time-dynamic markov random fields for price outcome prediction in the presence 2026 · doi:10.1214/23-ss145

[3] https://doi.org/10.2307/2346482 Cox, D., & Wermuth, N. (2002). On some models for multivariate binary variables parallel in complexity with the multivariate gaussian distribution.Biometrika,89(2), 462 2002 · doi:10.2307/2346482

[4] https://doi.org/10.1093/biomet/89.2.462 Cramer, A. O. J., van Borkulo, C. D., Giltay, E. J., van der Maas, H. L. J., Kendler, K. S., Scheffer, M., & Borsboom, D. (2016). Major depression as a complex 2016 · doi:10.1093/biomet/89.2.462

[5] https://doi.org/10.1017/S0033291721005183. Curtiss, J. E., Pinaire, M., Fulford, D., McNally, R. J., & Hofmann, S. G. (2022). Temporal and contemporaneous network structures of affect and physical act 2022 · doi:10.1017/s0033291721005183

Formal links

2 machine-checked theorem links

Receipt and verification

First computed	2026-05-20T00:00:37.123758Z
Builder	pith-number-builder-2026-05-17-v1
Signature	Pith Ed25519 (`pith-v1-2026-05`) · public key
Schema	pith-number/v1.0

Canonical hash

c2660b864ac16c4fc8da46190a7bac5fa7c481661d829dac8de8eb8fdc61b9a2

Aliases

arxiv: 2603.26116 · arxiv_version: 2603.26116v2 · doi: 10.48550/arxiv.2603.26116 · pith_short_12: YJTAXBSKYFWE · pith_short_16: YJTAXBSKYFWE7SG2 · pith_short_8: YJTAXBSK

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/YJTAXBSKYFWE7SG2IYMQU65ML6 \
  | 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: c2660b864ac16c4fc8da46190a7bac5fa7c481661d829dac8de8eb8fdc61b9a2

Canonical record JSON

{
  "metadata": {
    "abstract_canon_sha256": "be3ca1e8ead3ba0ccbcbd0cb41ca42744d182f71ab35a4f66bf939f8d3ce7006",
    "cross_cats_sorted": [
      "stat.AP"
    ],
    "license": "http://creativecommons.org/licenses/by-sa/4.0/",
    "primary_cat": "stat.ME",
    "submitted_at": "2026-03-27T07:03:48Z",
    "title_canon_sha256": "23329be4de47a7aa9e1fb81b24c93a76643e8d528eb07f652d305f307dbafd29"
  },
  "schema_version": "1.0",
  "source": {
    "id": "2603.26116",
    "kind": "arxiv",
    "version": 2
  }
}