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Paper Citation Record · LEDGER

Mutual Learning for Finetuning Click-Through Rate Prediction Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.12087.

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

pith.paper-citation-record.v1
2406.12087 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 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T16:17:31.369306Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T13:37:15.842800Z

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 d9453adb-8893-42d2-8e24-1983604a11d7 · inbound

A Collaborative Ensemble Framework for CTR Prediction cites this paper.

A Collaborative Ensemble Framework for CTR Prediction Mutual Learning for Finetuning Click-Through Rate Prediction Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T16:17:31.369306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:17:31.369306Z digest=sha256:99d934cf4f49bc9ab7d9792466a6c2fda83f081bdf21242dbe58e743066590f5

Observation 95bd0b8f-351f-4909-96bb-ecc7dc6d47f7 · inbound

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models cites this paper.

From Collapse to Stability: A Knowledge-Driven Ensemble Framework for Scaling Up Click-Through Rate Prediction Models Mutual Learning for Finetuning Click-Through Rate Prediction Models

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-08-12T13:37:15.849457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-08-12T13:37:15.671428Z digest=sha256:e9a8b01b9aa3f040f2796448fb26bcd4076cebc2f9effc296c4bb6b4ad6132c2