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Paper Citation Record · LEDGER

Robust Data Fusion via Subsampling

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2508.12048.

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

pith.paper-citation-record.v1
2508.12048 v1

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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T07:46:03.995262Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:16:47.211887Z

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 97d24b17-e88d-4df6-b36a-be362a8d6dbf · inbound

Distributed Prediction under Heterogeneity with Unidentifiable Parameter cites this paper.

Distributed Prediction under Heterogeneity with Unidentifiable Parameter Robust Data Fusion via Subsampling

Reference 163

Resolution
verified exact
arxiv_id, observed 2026-07-02T08:16:47.214009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-02T08:08:56.418989Z digest=sha256:af4b6a1a914297edfece32553bda6a992bea120ac75090f61d0c6da504cedb9a

Observation cb9b0aa7-641c-43d7-864b-ef81d15be958 · inbound

Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms cites this paper.

Contaminated Multi-task Learning with Heterogeneity: Fundamental Limits and Optimal Algorithms Robust Data Fusion via Subsampling

Reference 28

Resolution
unresolved
no resolver link, observed 2026-07-12T07:46:03.995262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T07:46:03.995262Z digest=sha256:aec0c8f191d20db0f6f095495958bafe54f5a9189a227f5913e2128216009410