Pith. sign in

Paper Citation Record · LEDGER

The Challenger: When Do New Data Sources Justify Switching Machine Learning Models?

As of 8 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 0 inbound Pith citation observations for arXiv:2512.18390.

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

pith.paper-citation-record.v1
2512.18390 v2

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:07:33.947431Z

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 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

4 of 4 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7e43187-f4bd-4690-9691-daf460efcd6b · outbound

This paper cites Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences.

The Challenger: When Do New Data Sources Justify Switching Machine Learning Models? Towards Stable Machine Learning Model Retraining via Slowly Varying Sequences

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-03T15:07:33.559584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:07:33.559584Z digest=sha256:f89e919540d1b3ed03c4c1e9626c27257bc0a4d391170ed0b501cdca6661d9ad

Observation b8510cff-1915-4639-9cd5-84f79fe464e4 · outbound

This paper cites an unresolved cited work.

The Challenger: When Do New Data Sources Justify Switching Machine Learning Models? Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-03T15:07:33.825309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:07:33.825309Z digest=sha256:2d75c4ec2737abf8d341eb0cf852c09ed6fd523761db0c219722f12b852d51f4

Observation e19462ae-ea19-48bf-b14a-d7fd9331c3f0 · outbound

This paper cites This is the second part of the lemma.□ EC.2.

The Challenger: When Do New Data Sources Justify Switching Machine Learning Models? This is the second part of the lemma.□ EC.2

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-03T15:07:33.947431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:07:33.947431Z digest=sha256:b3a7bd0980871df321a2e4093c484563dd8b55e61c4a39b971052554256788e9

Observation 10cc542f-c7a3-4671-ae4b-fff475c04d30 · outbound

This paper cites The Limitations of Model Retraining in the Face of Performativity.

The Challenger: When Do New Data Sources Justify Switching Machine Learning Models? The Limitations of Model Retraining in the Face of Performativity

Reference 2273

Resolution
unresolved
no resolver link, observed 2026-08-03T15:07:33.715236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T15:07:33.715236Z digest=sha256:38db89109d727b0ce6bb3c4f8d59fde00924ffb845f7e1ba25f31c8fdd9816e9

Pith citing papers

No inbound Pith citation observations are available.