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Paper Citation Record · LEDGER

Multi-objective Learning to Rank by Model Distillation

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.07181.

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

pith.paper-citation-record.v1
2407.07181 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 2026-08-19T06:32:44.657259+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T14:21:47.726714Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:21:47.936952Z

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 262a6870-a416-4bb5-b921-08651fdad301 · inbound

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods cites this paper.

No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods Multi-objective Learning to Rank by Model Distillation

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:21:47.944725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-11T14:21:47.726714Z digest=sha256:b472968ed07665ccdbff9a3748543e858bff475667740972fa536bb2e9cad1f0

Observation 9ad12972-244b-4440-a8a9-c6816881974f · inbound

Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments cites this paper.

Scaling Search Relevance: Augmenting App Store Ranking with LLM-Generated Judgments Multi-objective Learning to Rank by Model Distillation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-02T20:27:48.971057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T20:27:48.971057Z digest=sha256:de79d574242045dd075728e3e2f555ec7d2a0857fb076312d1957cbb5e1e2062