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Paper Citation Record · LEDGER

On Deep Instrumental Variables Estimate

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2004.14954.

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

pith.paper-citation-record.v1
2004.14954 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 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:19:59.446661Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T09:56:01.893937Z

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 7e6b55df-6c62-4097-8ff7-43309a282678 · inbound

Machine learning the first stage in 2SLS: Practical guidance from bias decomposition and simulation cites this paper.

Machine learning the first stage in 2SLS: Practical guidance from bias decomposition and simulation On Deep Instrumental Variables Estimate

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-15T20:19:59.446661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T20:19:59.446661Z digest=sha256:725a2b55d51c5b867d889a8b86f88858c9449e52b29ae510e4dd0e91d8a20b81

Observation afa4a3d4-c5a7-41ed-8c52-89d493baf22c · inbound

NetworkNet: A Deep Neural Network Approach for Random Networks with Sparse Nodal Attributes and Complex Nodal Heterogeneity cites this paper.

NetworkNet: A Deep Neural Network Approach for Random Networks with Sparse Nodal Attributes and Complex Nodal Heterogeneity On Deep Instrumental Variables Estimate

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T09:56:01.899209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-10T15:45:07.590993Z digest=sha256:b43f58557caa8b3bcd5b6928e2d9443d1e8ea6c54783e5d7b368e5ee5534f780