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Paper Citation Record · LEDGER

Probabilistic FastText for Multi-Sense Word Embeddings

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1806.02901.

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

pith.paper-citation-record.v1
1806.02901 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:50:07.205990Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:10:28.095978Z

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 77e719f0-f298-4fc3-b7c4-4238d8db021a · inbound

Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate cites this paper.

Modeling Islamist Extremist Communications on Social Media using Contextual Dimensions: Religion, Ideology, and Hate Probabilistic FastText for Multi-Sense Word Embeddings

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-14T12:46:29.783749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:46:29.783749Z digest=sha256:5065177e939d77ab3323fb4f9b7a46ab24070a74f6ebbf68a0fbdf750581313b

Observation 7c71a5a7-92a3-4ee4-8a9f-5342ca47c275 · inbound

NushuRescue: Revitalization of the Endangered Nushu Language with AI cites this paper.

NushuRescue: Revitalization of the Endangered Nushu Language with AI Probabilistic FastText for Multi-Sense Word Embeddings

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-12T05:40:53.194488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:40:53.194488Z digest=sha256:74b0d62f6121ed1dcf49159b130026146f58ec34cb6784424e95b86265aa5d02

Observation 7595d542-3cb6-4c84-90ba-1e705d3d299a · inbound

A Multi-tiered Solution for Personalized Baggage Item Recommendations using FastText and Association Rule Mining cites this paper.

A Multi-tiered Solution for Personalized Baggage Item Recommendations using FastText and Association Rule Mining Probabilistic FastText for Multi-Sense Word Embeddings

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-08-10T20:10:28.103781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-10T20:10:27.689164Z digest=sha256:3e49adf57ce1e4bf221e893deeb8f532c4bb73af2c7742683b265b4da7aec1ab

Observation f23eb48c-99cf-4392-91e0-064d658a0e35 · inbound

Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo cites this paper.

Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo Probabilistic FastText for Multi-Sense Word Embeddings

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-16T10:50:07.205990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T10:50:07.205990Z digest=sha256:f302913093a443e957cc8359704e654fa3dbacbf43421a18e436036d3564fed0

Observation 94e9c36c-e4f0-41ff-8a54-ac23ea392734 · inbound

SemGes: Semantics-aware Co-Speech Gesture Generation using Semantic Coherence and Relevance Learning cites this paper.

SemGes: Semantics-aware Co-Speech Gesture Generation using Semantic Coherence and Relevance Learning Probabilistic FastText for Multi-Sense Word Embeddings

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-15T17:58:10.500414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:58:10.500414Z digest=sha256:aed160fcc73bcdf711d1f54428b6670ccc1d14a304c4a32794b21a077815223a