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Paper Citation Record · LEDGER

Text Retrieval with Multi-Stage Re-Ranking Models

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2311.07994.

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

pith.paper-citation-record.v1
2311.07994 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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T23:38:32.436140Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:50:01.250450Z

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 bf20ec01-2e3c-4182-ad3e-b729bd83d408 · inbound

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval cites this paper.

Adaptive Two-Phase Finetuning LLMs for Japanese Legal Text Retrieval Text Retrieval with Multi-Stage Re-Ranking Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-11T23:38:32.436140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T23:38:32.436140Z digest=sha256:af5ea696275a15fd5f6ccc2c485579ebe5386fce345677e3245c3bbbf28296c0

Observation baecbbed-4e2c-4591-8979-87debcc528d5 · inbound

Optimizing Multi-Stage Language Models for Effective Text Retrieval cites this paper.

Optimizing Multi-Stage Language Models for Effective Text Retrieval Text Retrieval with Multi-Stage Re-Ranking Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-11T00:50:01.256253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-08-11T00:50:01.043886Z digest=sha256:63592fa6b60de4ad5f762324a707e13c187c1448d5e7a15bc20175dc28f4a36f