Paper Citation Record · LEDGER

Subword Language Model for Query Auto-Completion

As of 21 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:1909.00599.

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

pith.paper-citation-record.v1
1909.00599 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T05:52:27.247205Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

12 of 12 outbound references displayed

verified exact0
verified fuzzy3
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 83bb46d5-03d5-4dba-94c3-2785ddbbeaa0 · outbound

This paper cites Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling.

Subword Language Model for Query Auto-Completion Tying Word Vectors and Word Classifiers: A Loss Framework for Language Modeling

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T05:52:27.200833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 531332a9-d17d-460a-8359-b8ba1f83a023 · outbound

This paper cites NSML: A Machine Learning Platform That Enables You to Focus on Your Models.

Subword Language Model for Query Auto-Completion NSML: A Machine Learning Platform That Enables You to Focus on Your Models

Reference 10

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T05:52:27.303249Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0a942311-2968-4fdc-8160-e12b8f262da1 · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Subword Language Model for Query Auto-Completion Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-14T05:52:27.247205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84f8bcfa-70c4-47ff-966b-6f628acea269 · outbound

This paper cites Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin.

Subword Language Model for Query Auto-Completion Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin

Reference 152

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:27.423441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1433efd6-9a94-4eec-928a-361f62831c6b · outbound

This paper cites Gated Word-Character Recurrent Language Model.

Subword Language Model for Query Auto-Completion Gated Word-Character Recurrent Language Model

Reference 1058

Resolution: metadata mismatch; local_arxiv, observed 2026-08-14T05:52:27.351840Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bd82fbb0-da8d-4817-b119-0e2c1ece4d54 · outbound

This paper cites Using the Output Embedding to Improve Language Models.

Subword Language Model for Query Auto-Completion Using the Output Embedding to Improve Language Models

Reference 2006

Resolution: unresolved; no resolver link, observed 2026-08-14T05:52:27.229458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9181ef1-718a-4c13-b633-afc4e087c63e · outbound

This paper cites preprint (http://www.

Subword Language Model for Query Auto-Completion preprint (http://www

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:27.437902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3ac038c2-4bee-4e3f-8aa3-c1a3bf8e7c3c · outbound

This paper cites Neural Machine Translation of Rare Words with Subword Units.

Subword Language Model for Query Auto-Completion Neural Machine Translation of Rare Words with Subword Units

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-14T05:52:27.234105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 15aa855f-01f5-4a03-b595-535eb8d8fe24 · outbound

This paper cites Latent Sequence Decompositions.

Subword Language Model for Query Auto-Completion Latent Sequence Decompositions

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-14T05:52:27.195021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 980e2cf4-127d-4a31-8382-1b9b1bd8e0a9 · outbound

This paper cites Transactions of the Association for Computational Linguistics , 5:365–378.

Subword Language Model for Query Auto-Completion Transactions of the Association for Computational Linguistics , 5:365–378

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T05:52:27.453124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a4a257bf-f586-41c2-81bd-a2cdc90cb638 · outbound

This paper cites Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement.

Subword Language Model for Query Auto-Completion Deterministic Non-Autoregressive Neural Sequence Modeling by Iterative Refinement

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-14T05:52:27.215282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f200a44-ed54-4745-94fe-46137aafe810 · outbound

This paper cites NSML: Meet the MLaaS platform with a real-world case study.

Subword Language Model for Query Auto-Completion NSML: Meet the MLaaS platform with a real-world case study

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-14T05:52:27.205836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.