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Paper Citation Record · LEDGER

Estimating Parameters of Structural Models Using Neural Networks

As of 9 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2502.04945.

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

pith.paper-citation-record.v1
2502.04945 v1

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:57:57.483463Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

7 of 7 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5fac399b-f0b8-4d7f-8369-657518592790 · outbound

This paper cites Small-sample Bias in GMM Estimation of Covariance Struc- tures,.

Estimating Parameters of Structural Models Using Neural Networks Small-sample Bias in GMM Estimation of Covariance Struc- tures,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:57.583146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T20:57:57.459571Z digest=sha256:f47d72669f6adcd42f5f586e83c69394ca0d973efd8c9dfcdff5041ceee461be

Observation ada05037-0ee9-4c6f-81d9-33368974dfa9 · outbound

This paper cites Search Personalization using Machine Learning,.

Estimating Parameters of Structural Models Using Neural Networks Search Personalization using Machine Learning,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:57.539053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T20:57:57.483463Z digest=sha256:19f71df17dd746b22adecddfca91674e17471546bf5219395df055ce5b64775d

Observation d95ffbec-9011-4c2e-a53b-a7aa82f61cd9 · outbound

This paper cites Connectionist Nonparametric Regression: Multilayer Feedforward Networks Can Learn Ar- bitrary Mappings,.

Estimating Parameters of Structural Models Using Neural Networks Connectionist Nonparametric Regression: Multilayer Feedforward Networks Can Learn Ar- bitrary Mappings,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:57.550437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T20:57:57.479302Z digest=sha256:acecd573df76dccefe8ca58aaf8292bf233cb0aa40654c50b238cecdb6273652

Observation 44930ca8-5cc0-4496-b975-591835d1de7c · outbound

This paper cites Choosing the Number of Instruments,.

Estimating Parameters of Structural Models Using Neural Networks Choosing the Number of Instruments,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:57.572005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T20:57:57.463741Z digest=sha256:3bc8ca3257887015153731fc2d05521263fa97a5906710ba064ccee674df8222

Observation 14bb7c72-e31b-4d7d-8765-537c50411634 · outbound

This paper cites Large-scale Cross-category Analysis of Consumer Review Content on Sales Conversion Leveraging Deep Learning,.

Estimating Parameters of Structural Models Using Neural Networks Large-scale Cross-category Analysis of Consumer Review Content on Sales Conversion Leveraging Deep Learning,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T20:57:57.560694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T20:57:57.475129Z digest=sha256:ccbf82c5ac1a4ddc4b4d23802e1c5f5b9c96042754231448e19dc0a1e60e09a8

Observation b6c2b737-b219-43de-b436-4abb90c48371 · outbound

This paper cites Deep Learning for Individual Heterogeneity.

Estimating Parameters of Structural Models Using Neural Networks Deep Learning for Individual Heterogeneity

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-08T20:57:57.466950Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:57:57.466950Z digest=sha256:650cdb74baed2ebf55c56fcb8793c454196e2bc8f147d8728c1a565da9174436

Observation 04417c85-9724-4909-869f-3ea98919b6d8 · outbound

This paper cites Adversarial Generalized Method of Moments.

Estimating Parameters of Structural Models Using Neural Networks Adversarial Generalized Method of Moments

Reference 107

Resolution
unresolved
no resolver link, observed 2026-08-08T20:57:57.471078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:57:57.471078Z digest=sha256:e2b0027f51ee3cbb936400687cd32bf1117c483392e98568efa7e84fb22c8f77

Pith citing papers

No inbound Pith citation observations are available.