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Paper Citation Record · LEDGER

Scaling Laws for the Value of Individual Data Points in Machine Learning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.20456.

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

pith.paper-citation-record.v1
2405.20456 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T14:06:54.588630Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T15:17:39.367234Z

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 5d21d3c8-8d97-4a84-96f2-a386fc92e20a · inbound

DROP: Poison Dilution via Knowledge Distillation for Federated Learning cites this paper.

DROP: Poison Dilution via Knowledge Distillation for Federated Learning Scaling Laws for the Value of Individual Data Points in Machine Learning

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T14:06:54.588630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T14:06:54.588630Z digest=sha256:e88a54ab608f6f625b17d470a6e7bdabde440133f696021ae424f469e3b5b331

Observation 5dd52353-9d5e-40a1-9866-4ae1fa308a43 · inbound

On the Fragility of Data Attribution When Learning Is Distributed cites this paper.

On the Fragility of Data Attribution When Learning Is Distributed Scaling Laws for the Value of Individual Data Points in Machine Learning

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-19T15:17:39.371592Z

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=2026-05-19T15:16:32.125215Z digest=sha256:ea0106ee2869faabe12dad343aa2a8f799a7f704bb8f9dc82d28946bab9dcb25