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Paper Citation Record · LEDGER

Weakly Submodular Function Maximization Using Local Submodularity Ratio

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2004.14650.

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

pith.paper-citation-record.v1
2004.14650 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:30:51.279509Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:16:15.729268Z

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 d10cac2b-ebe3-432a-a8f4-173a3564f2ab · inbound

On the non-submodularity of the problem of adding links to minimize the effective graph resistance cites this paper.

On the non-submodularity of the problem of adding links to minimize the effective graph resistance Weakly Submodular Function Maximization Using Local Submodularity Ratio

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-10T21:58:33.531346Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T21:58:32.893605Z digest=sha256:73c8c6fe2b818b800f61e9d2280d2681e0e001938074da4b9181369cf175cac5

Observation e4017f09-db3e-4c71-bad0-caa8a4d93aec · inbound

Combatting Dimensional Collapse in LLM Pre-Training Data via Diversified File Selection cites this paper.

Combatting Dimensional Collapse in LLM Pre-Training Data via Diversified File Selection Weakly Submodular Function Maximization Using Local Submodularity Ratio

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-16T05:30:51.279509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:30:51.279509Z digest=sha256:d7c300418fc37910579a838d2d93b37fae3bf4b9abb63bcb8c3a290f84d0e2d8