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Paper Citation Record · LEDGER

Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rank

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2303.04710.

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

pith.paper-citation-record.v1
2303.04710 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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:54:56.275538Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T13:20:27.167247Z

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 bc210f16-e438-4027-ae17-b6fd60e6b76f · inbound

Dynamic and Parametric Retrieval-Augmented Generation cites this paper.

Dynamic and Parametric Retrieval-Augmented Generation Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rank

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T05:54:56.275538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:54:56.275538Z digest=sha256:fdf4e4351ab7a540744e7c760d30dad869022019453c05af052c16cde63f22d8

Observation 9dae05e3-dc1d-4855-ac0a-fd03cfb2d9b5 · inbound

Industry Insights from Comparing Deep Learning and GBDT Models for E-Commerce Learning-to-Rank cites this paper.

Industry Insights from Comparing Deep Learning and GBDT Models for E-Commerce Learning-to-Rank Towards Better Web Search Performance: Pre-training, Fine-tuning and Learning to Rank

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-06T13:20:27.259414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-06T13:20:25.663796Z digest=sha256:958660f5eec63117844746185f4f046aced14b5b01f194f63b7339bfd980bf9d