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Paper Citation Record · LEDGER

HEDE: Heritability estimation in high dimensions by Ensembling Debiased Estimators

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.11184.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2406.11184 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:12.474772Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-07T04:39:38.852039Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9007dfdd-8a57-4b51-b6e4-b0582a4690ac · inbound

Multi-Environment GLAMP: Approximate Message Passing for Transfer Learning with Applications to Lasso-based Estimators cites this paper.

Multi-Environment GLAMP: Approximate Message Passing for Transfer Learning with Applications to Lasso-based Estimators HEDE: Heritability estimation in high dimensions by Ensembling Debiased Estimators

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T13:12:12.474772Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:12:12.474772Z digest=sha256:f92ce984a89cf09810a88d31fdcd636fea927c5d2733d3f5dfc8533fd8f15e4b

Observation 2e754798-303b-4976-be7d-f4306f2ee07f · inbound

Estimating Signal-to-Noise Ratios for Multivariate High-dimensional Linear Models cites this paper.

Estimating Signal-to-Noise Ratios for Multivariate High-dimensional Linear Models HEDE: Heritability estimation in high dimensions by Ensembling Debiased Estimators

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:39:38.990397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-07T04:39:37.547297Z digest=sha256:98a3b2e669cdefd9e9f62a92685c1259548ed49ca2ad270160e1809ff1e95407