Paper Citation Record · LEDGER

Tight Sensitivity Bounds For Smaller Coresets

As of 6 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:1907.01433.

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

pith.paper-citation-record.v1
1907.01433 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-25T11:06:23.716668Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact6
verified fuzzy3
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 39294b7a-e7bf-4f11-8507-0bb2a1ffa288 · outbound

This paper cites Regression analysis in small- n-large-p using interactive prior elicitation of pairwise similarities.

Tight Sensitivity Bounds For Smaller Coresets Regression analysis in small- n-large-p using interactive prior elicitation of pairwise similarities

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.543223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9c93df72-9001-4450-aaa2-5b5b1eefcd1e · outbound

This paper cites k-Means for Streaming and Distributed Big Sparse Data.

Tight Sensitivity Bounds For Smaller Coresets k-Means for Streaming and Distributed Big Sparse Data

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-25T11:06:57.206917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f20abb1a-7cc9-400e-9995-5e1b82b330d1 · outbound

This paper cites New Frameworks for Offline and Streaming Coreset Constructions.

Tight Sensitivity Bounds For Smaller Coresets New Frameworks for Offline and Streaming Coreset Constructions

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-25T11:06:57.185250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation b9805a73-ab1b-4db4-ac7d-2ab619b0107a · outbound

This paper cites Dimensionality Reduction for k-Means Clustering and Low Rank Approximation.

Tight Sensitivity Bounds For Smaller Coresets Dimensionality Reduction for k-Means Clustering and Low Rank Approximation

Reference 4

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T11:06:57.194332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 1ce61ddd-c16a-42b5-9757-fb4c268a3cf3 · outbound

This paper cites an unresolved cited work.

Tight Sensitivity Bounds For Smaller Coresets Unresolved cited work

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-25T11:06:57.217590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a3e58afd-9313-4dae-88a5-677b8fccd16c · outbound

This paper cites Turning Big data into tiny data: Constant-size coresets for k-means, PCA and projective clustering.

Tight Sensitivity Bounds For Smaller Coresets Turning Big data into tiny data: Constant-size coresets for k-means, PCA and projective clustering

Reference 6

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T11:06:57.210649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation cbb673eb-6cc8-4e77-b1e0-2c8fca62094f · outbound

This paper cites SciPy: Open source scientiﬁc tools for Python, 2001–.

Tight Sensitivity Bounds For Smaller Coresets SciPy: Open source scientiﬁc tools for Python, 2001–

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.545934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 572c6e32-d7a1-458c-9332-5f3dee44bdc5 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Tight Sensitivity Bounds For Smaller Coresets Efficient Estimation of Word Representations in Vector Space

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-25T11:06:57.203308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2b7693e4-57b7-4925-b2a1-a8f9eb8fd369 · outbound

This paper cites Fast and Accurate Least-Mean-Squares Solvers.

Tight Sensitivity Bounds For Smaller Coresets Fast and Accurate Least-Mean-Squares Solvers

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-25T11:06:57.199146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3e7ef984-e350-4fa1-af31-0fba75fc8875 · outbound

This paper cites Improved approximation algorithms for large matrices via random pro- jections.

Tight Sensitivity Bounds For Smaller Coresets Improved approximation algorithms for large matrices via random pro- jections

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-05-25T11:06:57.540689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d552138d-a66a-47c3-bef6-1bd0e426f879 · outbound

This paper cites Determinantal Point Processes for Coresets.

Tight Sensitivity Bounds For Smaller Coresets Determinantal Point Processes for Coresets

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-25T11:06:57.189589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 9081823b-6cfc-446d-9a50-95e84de8e371 · outbound

This paper cites On the Sensitivity of Shape Fitting Problems.

Tight Sensitivity Bounds For Smaller Coresets On the Sensitivity of Shape Fitting Problems

Reference 12

Resolution: metadata mismatch; local_arxiv, observed 2026-05-25T11:06:57.213888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Pith citing papers

No inbound Pith citation observations are available.