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Paper Citation Record · LEDGER

Using Word Embeddings for Automatic Query Expansion

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1606.07608.

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

pith.paper-citation-record.v1
1606.07608 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:25:58.516150Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:40:15.319125Z

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 465dc140-124f-440e-b995-1bf688daa884 · inbound

Learning Representations and Agents for Information Retrieval cites this paper.

Learning Representations and Agents for Information Retrieval Using Word Embeddings for Automatic Query Expansion

Reference 88

Resolution
unresolved
no resolver link, observed 2026-08-14T13:00:58.399819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:00:58.399819Z digest=sha256:cc5319de9b03908d1fbcbdf20f6b8e41b1e548eeaca9213aca18784f3bcf3bd2

Observation 8c014bef-ddca-45a6-bcbb-357e500a1f53 · inbound

A novel model for query expansion using pseudo-relevant web knowledge cites this paper.

A novel model for query expansion using pseudo-relevant web knowledge Using Word Embeddings for Automatic Query Expansion

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-14T10:55:54.570684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:55:54.570684Z digest=sha256:195a9d2fbe33608bc44d2787ecc761012ae601d0ae2bf41f4be38562a96845a6

Observation 7e0ac06a-7925-40fd-8732-4bec8ff8397f · inbound

Affect Enriched Word Embeddings for News Information Retrieval cites this paper.

Affect Enriched Word Embeddings for News Information Retrieval Using Word Embeddings for Automatic Query Expansion

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-14T05:12:01.587901Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T05:12:01.587901Z digest=sha256:d7bb00210b9c326b3fdc7e246bdd973655489aac4420b1b1fa29fcae36a0b6ff

Observation b8050876-be01-44ab-8cb7-e1c15211f07f · inbound

A New Query Expansion Approach via Agent-Mediated Dialogic Inquiry cites this paper.

A New Query Expansion Approach via Agent-Mediated Dialogic Inquiry Using Word Embeddings for Automatic Query Expansion

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-08T04:43:15.000360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T04:43:15.000360Z digest=sha256:7c357b67f930795cdef9797b2e2082514668efd26e5355e86cdcfa3dc08a710f

Observation 87ae1459-fe7c-483d-9872-daf1f4b897b8 · inbound

GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval cites this paper.

GOLFer: Smaller LM-Generated Documents Hallucination Filter & Combiner for Query Expansion in Information Retrieval Using Word Embeddings for Automatic Query Expansion

Reference 24

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:40:15.399823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-08-07T10:40:14.161581Z digest=sha256:f3fc211794ab716dff65304192eadfcdc9236b6bbcc4372bdee1a44d6a04ed9f

Observation fea1c30c-914b-42b0-8659-5bc7ceefeb16 · inbound

LESER: Learning to Expand via Search Engine-feedback Reinforcement in e-Commerce cites this paper.

LESER: Learning to Expand via Search Engine-feedback Reinforcement in e-Commerce Using Word Embeddings for Automatic Query Expansion

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-15T16:25:58.516150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:25:58.516150Z digest=sha256:24f3585e52b25b0bcf5de3e158029441aa68211982e122df08f99d42b15b3f61

Observation 53646943-f2bd-4df7-8865-06c18d3bedb9 · inbound

A Survey on Retrieval And Structuring Augmented Generation with Large Language Models cites this paper.

A Survey on Retrieval And Structuring Augmented Generation with Large Language Models Using Word Embeddings for Automatic Query Expansion

Reference 213

Resolution
unresolved
no resolver link, observed 2026-08-15T15:56:21.993601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T15:56:21.993601Z digest=sha256:2f1d5bbf10d9d64646d1d200b0a44e22395294d7a4535134ce21ae3b39db8a9b