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Paper Citation Record · LEDGER

The Fundamental Limits of Structure-Agnostic Functional Estimation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2305.04116.

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

pith.paper-citation-record.v1
2305.04116 v2

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 2026-08-10T06:31:04.303077+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T07:16:10.762053Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:47:06.933878Z

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 49eb78b1-1121-415e-a0ee-fa3285c08810 · inbound

Orthogonal Representation Learning for Estimating Causal Quantities cites this paper.

Orthogonal Representation Learning for Estimating Causal Quantities The Fundamental Limits of Structure-Agnostic Functional Estimation

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-23T03:42:27.854363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T03:39:33.451238Z digest=sha256:dc0cee8cbe875ba2d7c0aa404ec16dbda7e78c072895caa6b91e257827c44f51

Observation 22b45b2f-eee3-4b98-bab6-0b3cc55d8073 · inbound

Optimally taming biases in black-box models for efficient semiparametric estimation cites this paper.

Optimally taming biases in black-box models for efficient semiparametric estimation The Fundamental Limits of Structure-Agnostic Functional Estimation

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-02T15:47:06.935452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T23:18:39.606271Z digest=sha256:b3ee58614e4ae5a98e996eaf77fa62cd50d3ad5565fcf98772d9319fc698eb26

Observation 3ce0cc68-d193-4c96-a2c8-bd01782033ee · inbound

Optimal use of a black-box learner in semiparametric estimation cites this paper.

Optimal use of a black-box learner in semiparametric estimation The Fundamental Limits of Structure-Agnostic Functional Estimation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-01T07:16:10.762053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T07:16:10.762053Z digest=sha256:8eedd6b929f3e4366cb6f60a91a68d8fe689d6ae110c9ae5fb404002ad4e7c1c