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Paper Citation Record · LEDGER

Dense Text Retrieval based on Pretrained Language Models: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2211.14876.

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

pith.paper-citation-record.v1
2211.14876 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:58:20.475806Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-24T03:05:56.970141Z

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 76218b05-25a5-44d9-90ce-8e262f442fcb · inbound

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders cites this paper.

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders Dense Text Retrieval based on Pretrained Language Models: A Survey

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-24T03:05:56.973217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-24T03:03:51.053556Z digest=sha256:89422854c85215bd6c782ddfae85abb40c943a875e7ddea15cdd73577cdd8304

Observation b3bf6085-5bcb-4419-8cad-e989ea89b6dc · inbound

DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation cites this paper.

DeepRec: Towards a Deep Dive Into the Item Space with Large Language Model Based Recommendation Dense Text Retrieval based on Pretrained Language Models: A Survey

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T14:58:20.475806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:58:20.475806Z digest=sha256:4cd7454035f8f2a801594d76430c8110817a888076326f2321efe63406490a55

Observation 19397f77-086a-430b-b7d9-5a3f84183eb8 · inbound

On the Scaling of Robustness and Effectiveness in Dense Retrieval cites this paper.

On the Scaling of Robustness and Effectiveness in Dense Retrieval Dense Text Retrieval based on Pretrained Language Models: A Survey

Reference 63

Resolution
unresolved
no resolver link, observed 2026-08-07T12:36:00.428140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:36:00.428140Z digest=sha256:d717b8d73142463a2cf3d143876f5f63ffe4c32fc7016fc599fb11bae51d329b