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Paper Citation Record · LEDGER

A short note on learning discrete distributions

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2002.11457.

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

pith.paper-citation-record.v1
2002.11457 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 2026-08-07T05:38:36.718814Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T16:26:20.738760Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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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 3dab1c28-861b-4d46-bca7-63700e60697e · inbound

Sample efficient graph classification using binary Gaussian boson sampling cites this paper.

Sample efficient graph classification using binary Gaussian boson sampling A short note on learning discrete distributions

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-24T10:09:19.591648Z

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=2026-05-24T10:07:03.113116Z digest=sha256:4ecb62260f8c59062c5ca5cb29f335ff3f559cd9e67c47fbc3263a50b294553a

Observation 8e8e865d-b68c-4282-bafb-3da90f7e8e2c · inbound

Eliciting Fine-Tuned Transformer Capabilities via Inference-Time Techniques cites this paper.

Eliciting Fine-Tuned Transformer Capabilities via Inference-Time Techniques A short note on learning discrete distributions

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:36.718814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:36.718814Z digest=sha256:13c3a04a51a3ee6a29dd3dd8848718cf916e60a2e59fca2501c018a416f04fd4

Observation 40537ff4-4e21-441a-8778-4c17c46ff333 · inbound

SPAM Tolerance for Pauli Error Estimation cites this paper.

SPAM Tolerance for Pauli Error Estimation A short note on learning discrete distributions

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T13:39:17.999896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T13:39:17.999896Z digest=sha256:6bc90a55869a8f39364320fb5a748a308793df6ee8d6935d205855b0505b1c07

Observation fc7b9f09-826a-4fbd-9b32-e6cb084f863b · inbound

Robust Statistical Estimators with Bounded Empirical Sensitivity cites this paper.

Robust Statistical Estimators with Bounded Empirical Sensitivity A short note on learning discrete distributions

Reference 261

Resolution
verified exact
arxiv_id, observed 2026-05-22T03:30:59.539266Z

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=2026-05-22T03:28:45.663789Z digest=sha256:620d4e292e2639f9811f404cab4efd14cf89c717a78f1b11a20a9a1b33e91bfc

Observation b191a413-09f3-4955-836c-411fe3b9d815 · inbound

Entropy Equivalence Testing cites this paper.

Entropy Equivalence Testing A short note on learning discrete distributions

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-25T03:20:16.865742Z

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=2026-05-25T03:18:09.097003Z digest=sha256:30e132be1fe2bbbd8b79b53d9c064514fdf1535513bdadeca09afb35a533fc27

Observation 88780afa-3224-4f39-8a10-a179370278c3 · inbound

Active Learning for Stochastic Contextual Linear Bandits cites this paper.

Active Learning for Stochastic Contextual Linear Bandits A short note on learning discrete distributions

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T11:54:38.394622Z

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=2026-06-30T11:49:35.327709Z digest=sha256:4b204ec9719232fb23cb53210fbd7889dfb3d144998fb546d5fb1c7b23ce2b67

Observation 3f0fccc5-f97e-4693-963a-f7e4ca51d3a6 · inbound

Fermionic non-Gaussianity via Bell sampling: monotones and efficient quantum algorithms cites this paper.

Fermionic non-Gaussianity via Bell sampling: monotones and efficient quantum algorithms A short note on learning discrete distributions

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-07-02T09:16:49.502256Z

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=2026-06-28T05:33:09.195864Z digest=sha256:5030426081fd87b10a428302a1ba167c8242d8b64ea9485dc0d56ce154712999

Observation d9a5a12a-2619-456b-af95-3ba64671b338 · inbound

Gradient-free stochastic optimization of derivatives under strong convexity cites this paper.

Gradient-free stochastic optimization of derivatives under strong convexity A short note on learning discrete distributions

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-07-09T16:26:20.740102Z

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=2026-07-09T16:24:36.526558Z digest=sha256:17d33fd0b82a81a7947693015078e1f88680b48be158d3b835de08758612f27b

Observation 179ebec7-dfa1-4e54-a446-db93668c4ed5 · inbound

Learning Distributions from Multiple Data Providers cites this paper.

Learning Distributions from Multiple Data Providers A short note on learning discrete distributions

Reference 19

Resolution
unresolved
no resolver link, observed 2026-07-31T06:41:26.503517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T06:41:26.503517Z digest=sha256:6b1e0f2c7a213307243a7fce010fbcbaa9180946f30b2db7b7dcc87291d597df