Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-31T14:07:10.635782Z
Paper Citation Record · LEDGER
As of 17 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2607.24472.
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 2026-07-31T14:07:10.635782Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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
12 of 12 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation c573aec1-717e-42c2-8e3d-5dd3ba1ed45c · outbound
Debiased Machine Learning: Identification, Estimation, and Shape Constraints Inference on strongly identified functionals of weakly identified functions,
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4787c2b-29a1-45e4-9498-07346c05f8d6 · outbound
Debiased Machine Learning: Identification, Estimation, and Shape Constraints Brezzi, and M
Reference 2
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78974255-eb9f-499e-822d-f2b27773b9b9 · outbound
Debiased Machine Learning: Identification, Estimation, and Shape Constraints Robust and optimal estimation for partially linear instrumental variables models with partial identification,
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d27bdf9e-d223-48ec-a97a-8c8f2bf4bfd7 · outbound
Debiased Machine Learning: Identification, Estimation, and Shape Constraints Adversarial Estimation of Riesz Representers
Reference 4
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6b216c90-ee21-4253-b804-e16a2972662b · outbound
Debiased Machine Learning: Identification, Estimation, and Shape Constraints and J.-L
Reference 5
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation da58761f-d375-4ce5-9ac3-ddc1e5821e8a · outbound
Debiased Machine Learning: Identification, Estimation, and Shape Constraints Orthogonal statistical learning,
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c9985035-9487-46b7-bdb7-c9ff6e0538de · outbound
Debiased Machine Learning: Identification, Estimation, and Shape Constraints Identification and shape restrictions in nonparametric instrumental variables estimation,
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dea9bcf0-d32f-4952-abaa-f67d9ad190f7 · outbound
Debiased Machine Learning: Identification, Estimation, and Shape Constraints An adversarial approach to struc- tural estimation,
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8f24fdd-2b37-49fe-9c5d-01610bc2fcc1 · outbound
Debiased Machine Learning: Identification, Estimation, and Shape Constraints Large sample estimation and hypothesis testing,
Reference 9
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7dc71cbc-565f-4a65-a22e-4a6f709b13a4 · outbound
Debiased Machine Learning: Identification, Estimation, and Shape Constraints Reconciling model-X and doubly robust approaches to conditional independence testing,
Reference 10
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef7efcd4-bc29-4e62-833b-f791b833091c · outbound
Debiased Machine Learning: Identification, Estimation, and Shape Constraints Covering Numbers for Deep ReLU Networks with Applications to Function Approximation and Nonparametric Regression,
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aea4e57d-a405-4808-9fb6-14f4bde15dc9 · outbound
Debiased Machine Learning: Identification, Estimation, and Shape Constraints ——— (2023):Weak Convergence and Empirical Processes, New York: Springer, 2 ed
Reference 12
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
No inbound Pith citation observations are available.