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Paper Citation Record · LEDGER

Can bidirectional encoder become the ultimate winner for downstream applications of foundation models?

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2411.18021.

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

pith.paper-citation-record.v1
2411.18021 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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T01:33:19.872233Z

measured 0 of 1 external citation measurements

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

Source: cited_works

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 3db6c976-affe-44c6-b8bf-a32d7cb2e732 · inbound

The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers cites this paper.

The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers Can bidirectional encoder become the ultimate winner for downstream applications of foundation models?

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-01T02:46:11.938448Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T02:46:11.938448Z digest=sha256:0004728be9dec679f915541ace3f9907f6c0459bc437a77dc558226067212a2e

Observation 6f6f73b3-0b70-4ae9-a97e-a4f71b64240c · inbound

The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers cites this paper.

The Case Against Generation for Retrieval: Discriminative Language Models as Effective Retrievers Can bidirectional encoder become the ultimate winner for downstream applications of foundation models?

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T01:33:19.872233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:33:19.872233Z digest=sha256:ce31d2d4f7f228b5b3e2d81b5d244a9307a55604ca6a08d18c85c8bcf23ef687