Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T18:15:35.718856Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 93 of 93 outbound references and 0 inbound Pith citation observations for arXiv:2607.17378.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-01T18:15:35.718856Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
93 of 93 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 05fb1c1c-7da4-4d0f-bc22-8cb01eda2227 · outbound
Econometrics with Pre-Trained Embeddings for Unstructured Data 2018 , publisher=
Reference 1
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Econometrics with Pre-Trained Embeddings for Unstructured Data Debiasing
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Econometrics with Pre-Trained Embeddings for Unstructured Data Econometrica , volume=
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Econometrics with Pre-Trained Embeddings for Unstructured Data Journal of the American Statistical Association , volume=
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Econometrics with Pre-Trained Embeddings for Unstructured Data International Conference on Machine Learning , pages=
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Econometrics with Pre-Trained Embeddings for Unstructured Data On the VC dimension of deep group convolutional neural networks
Reference 29
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Econometrics with Pre-Trained Embeddings for Unstructured Data Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks
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Observation 36cb6604-dc3c-42fe-907e-7b02db12326e · outbound
Econometrics with Pre-Trained Embeddings for Unstructured Data Nature Communications , volume=
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Econometrics with Pre-Trained Embeddings for Unstructured Data Advances in Neural Information Processing Systems , volume=
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Observation 12bbd7be-ac54-4e3a-9250-634d6b0b1541 · outbound
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Econometrics with Pre-Trained Embeddings for Unstructured Data 1999 , publisher=
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Observation dd86f701-5f8f-4fd3-ac89-6cc3b14e484b · outbound
Econometrics with Pre-Trained Embeddings for Unstructured Data The Fragility of Sparsity
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Econometrics with Pre-Trained Embeddings for Unstructured Data From Unstructured Data to Demand Counterfactuals: Theory and Practice
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