Pith. sign in

Paper Citation Record · LEDGER

An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:1901.00555.

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

pith.paper-citation-record.v1
1901.00555 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:10:02.473446Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T18:48:49.867724Z

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 5d51ebed-60b9-4d5f-8579-16e5eedc0f60 · inbound

Fast quantum measurement tomography with optimal error bounds cites this paper.

Fast quantum measurement tomography with optimal error bounds An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T20:10:02.473446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:10:02.473446Z digest=sha256:6aa82879e8981aceb440067fcd328f77549cc01addbbf99a033ddae0358a5477

Observation 30a1c36d-50fb-4758-88f1-dec4df4859aa · inbound

No-Regret Gaussian Process Optimization of Time-Varying Functions cites this paper.

No-Regret Gaussian Process Optimization of Time-Varying Functions An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-03T19:33:06.941183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T19:33:06.941183Z digest=sha256:0433488b947e61b2b23ef1b7e631c2f206657e3e82f03fae4eb73fab22f1b8fd

Observation 05641b0a-892f-4cfc-a70b-f1f3349657e2 · inbound

Separating Oblivious and Adaptive Models of Variable Selection cites this paper.

Separating Oblivious and Adaptive Models of Variable Selection An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation

Reference 3462

Resolution
unresolved
no resolver link, observed 2026-08-02T22:44:04.939885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T22:44:04.939885Z digest=sha256:03924e97173c5d1d5d181fc60052b233f8d279184d83d9cac91af700fe4e855c

Observation bf243ff2-c0cd-4f92-acf5-f37883fb1bb8 · inbound

Informationally Compressive Anonymization: Non-Degrading Sensitive Input Protection for Privacy-Preserving Supervised Machine Learning cites this paper.

Informationally Compressive Anonymization: Non-Degrading Sensitive Input Protection for Privacy-Preserving Supervised Machine Learning An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-21T10:24:06.824158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T10:22:04.455412Z digest=sha256:8bb86df00a8a6d2e43a67b00db08e98699fd85a23413852efc0e52bb6f0360d1

Observation d5e71f9e-131f-461a-82c4-46acc373572a · inbound

On the Invariance and Generality of Neural Scaling Laws cites this paper.

On the Invariance and Generality of Neural Scaling Laws An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:15:56.074894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T02:34:14.087140Z digest=sha256:f0acb171d073f60cfe488f988f95626af20fecd117bbade9e1ba096620f497ab

Observation 09e74a40-6c89-4678-b1a8-0d32887dbd8d · inbound

Nonparametric Empirical Bayes Confidence Intervals cites this paper.

Nonparametric Empirical Bayes Confidence Intervals An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:36:27.004147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-12T00:52:34.946160Z digest=sha256:cec5feee2043939be979e73e231207fc5d6df1b625fd96233a5907a4bd58b149

Observation 1a0caca4-4c71-4f8c-94a1-fde415d607b6 · inbound

Reducing Learner Redundancy in Boosting via Residual Orthogonalization cites this paper.

Reducing Learner Redundancy in Boosting via Residual Orthogonalization An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation

Reference 41

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T18:48:49.869078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-27T02:22:03.864656Z digest=sha256:5011f7450e8b2c97d4a88a15178312db216d1d13d4f5e7b17925e974a0a9132b

Observation 5360363d-81b9-4b49-94ba-2365d916802e · inbound

When LLMs Develop Languages: Symbolic Communication for Efficient Multi-Agent Reasoning cites this paper.

When LLMs Develop Languages: Symbolic Communication for Efficient Multi-Agent Reasoning An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation

Reference 53

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T07:24:21.092409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-30T07:21:47.292292Z digest=sha256:41397b753b304130380f14d0108786bfa48e6c5a6d1a52a804711dedcfee8f17

Observation 41efe990-c53e-4187-b15b-920c99f21861 · inbound

Lossy Compression for Sparse Aggregation cites this paper.

Lossy Compression for Sparse Aggregation An Introductory Guide to Fano's Inequality with Applications in Statistical Estimation

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-06-30T03:34:13.309900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T03:30:14.064467Z digest=sha256:e18bb55714a3e972a1ab78f7e0f8268d37e87cd1a20bba84382f1946f04a17f9