Paper Citation Record · LEDGER

Most Influential Subset Selection: Challenges, Promises, and Beyond

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.18153.

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

pith.paper-citation-record.v1
2409.18153 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:56:21.743796Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T15:27:05.789814Z

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 42a81557-63a8-455b-9098-4da94ef0bb44 · inbound

GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems cites this paper.

GORACS: Group-level Optimal Transport-guided Coreset Selection for LLM-based Recommender Systems Most Influential Subset Selection: Challenges, Promises, and Beyond

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T10:56:21.743796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6807acdc-5dfb-49e3-89ed-5d8af7014b2a · inbound

Better Training Data Attribution via Better Inverse Hessian-Vector Products cites this paper.

Better Training Data Attribution via Better Inverse Hessian-Vector Products Most Influential Subset Selection: Challenges, Promises, and Beyond

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-06T15:54:42.616319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47e9e113-1aa9-425f-9c6c-27b848ecf7d3 · inbound

Testing Most Influential Sets cites this paper.

Testing Most Influential Sets Most Influential Subset Selection: Challenges, Promises, and Beyond

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T08:32:07.781142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02bceb4b-8f30-40c2-b05c-d795aa80483a · inbound

Finding Most Influential Sets cites this paper.

Finding Most Influential Sets Most Influential Subset Selection: Challenges, Promises, and Beyond

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-07-02T15:27:05.791186Z

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.