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Paper Citation Record · LEDGER

Inference for High-Dimensional Sparse Econometric Models

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:1201.0220.

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

pith.paper-citation-record.v1
1201.0220 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:45:07.852354Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-02T20:17:21.610336Z

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 29641de9-e121-4cf8-9409-abfdea6877c4 · inbound

Robust Inference with High-Dimensional Instruments cites this paper.

Robust Inference with High-Dimensional Instruments Inference for High-Dimensional Sparse Econometric Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T21:45:07.852354Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:45:07.852354Z digest=sha256:f2168432ce28a8b49c50c980fad5eb0baa14f299a28ae3697ebff3482a654fa7

Observation 3f8812e7-166f-4e0a-8a93-936bad5c7c5e · inbound

Learning a directed acyclic graph with additive heteroscedastic errors cites this paper.

Learning a directed acyclic graph with additive heteroscedastic errors Inference for High-Dimensional Sparse Econometric Models

Reference 4

Resolution
verified exact
local_arxiv, observed 2026-06-29T16:23:39.600242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T16:16:52.549510Z digest=sha256:56de9e05f960e630adb5cdf07927973a74291663d62e536bb8cddc5e5f2a4307

Observation 94d551fe-a41f-4c09-a7ca-74b8017bd0e0 · inbound

High Dimensional Change Point Models for Two-Directional Data cites this paper.

High Dimensional Change Point Models for Two-Directional Data Inference for High-Dimensional Sparse Econometric Models

Reference 63

Resolution
metadata mismatch
local_arxiv, observed 2026-07-02T20:17:21.611566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-06-27T20:46:26.231549Z digest=sha256:87d4ef43511413a76fac47c8749fde7c4ff953c5fd0c071967e9de7fab52936a