Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T05:29:24.504322Z
Paper Citation Record · LEDGER
On the Downstream Performance of Compressed Word Embeddings
As of 14 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 1 inbound Pith citation observation for arXiv:1909.01264.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-24T03:49:31.880798Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T03:53:55.572609Z
Reference resolution
47 of 47 outbound references displayed
- verified exact0
- verified fuzzy27
- unresolved20
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 0443cb5e-9b2b-4406-afb7-7f54399b0bb2 · outbound
This paper cites Globally normalized transition-based neural networks.
On the Downstream Performance of Compressed Word Embeddings Globally normalized transition-based neural networks
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:25.157734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ad09ad71-038c-4631-8f23-ffda14251860 · outbound
This paper cites Compressing word embeddings.
On the Downstream Performance of Compressed Word Embeddings Compressing word embeddings
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:25.135116Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 51e342c6-5eba-4c3b-834e-9afcef46e50c · outbound
This paper cites Random Fourier features for kernel ridge regression: Approximation bounds and statistical guarantees.
On the Downstream Performance of Compressed Word Embeddings Random Fourier features for kernel ridge regression: Approximation bounds and statistical guarantees
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:25.117814Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d480054d-87fa-4c40-ace1-c00cc2408710 · outbound
This paper cites FBK’s machine translation and speech translation systems for the IWSLT 2014 evaluation campaign.
On the Downstream Performance of Compressed Word Embeddings FBK’s machine translation and speech translation systems for the IWSLT 2014 evaluation campaign
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:25.099991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 491c24aa-d1a1-4bd0-b2e1-ef920ccc9f42 · outbound
This paper cites Reading Wikipedia to answer open-domain questions.
On the Downstream Performance of Compressed Word Embeddings Reading Wikipedia to answer open-domain questions
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:25.081494Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d4445407-456d-4ca6-bd0c-e5532d130e7c · outbound
This paper cites Learning k-way d-dimensional discrete codes for compact embedding representations.
On the Downstream Performance of Compressed Word Embeddings Learning k-way d-dimensional discrete codes for compact embedding representations
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:25.066024Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5a912c10-50db-4088-b5cd-bc96727ad4ce · outbound
This paper cites Embeddings@Twitter,.
On the Downstream Performance of Compressed Word Embeddings Embeddings@Twitter,
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:25.048694Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 827b2f73-86ed-4efb-89c4-42ea5540b598 · outbound
This paper cites Davis and W.
On the Downstream Performance of Compressed Word Embeddings Davis and W
Reference 8
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6d05c841-7c54-4f81-bd9f-a16d39142a2d · outbound
This paper cites High-Accuracy Low-Precision Training.
On the Downstream Performance of Compressed Word Embeddings High-Accuracy Low-Precision Training
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:29:24.348242Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 054e03de-5664-4ed3-acec-c70ac1aa5911 · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
On the Downstream Performance of Compressed Word Embeddings BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:29:24.351869Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85292bb0-2e27-4b0a-8e4d-72537ea1180d · outbound
This paper cites an unresolved cited work.
On the Downstream Performance of Compressed Word Embeddings Unresolved cited work
Reference 11
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T05:29:25.003067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b27114d1-5cce-4d64-9069-ecc31dc6f126 · outbound
This paper cites node2vec: Scalable feature learning for networks.
On the Downstream Performance of Compressed Word Embeddings node2vec: Scalable feature learning for networks
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:29:24.359060Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eb92fb3a-c1cf-4812-b161-25ead3c8f2ca · outbound
This paper cites Deep learning with limited numerical precision.
On the Downstream Performance of Compressed Word Embeddings Deep learning with limited numerical precision
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:29:24.363378Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cedbc819-66a9-420a-9b5a-6372ad2d05df · outbound
This paper cites an unresolved cited work.
On the Downstream Performance of Compressed Word Embeddings Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T05:29:24.974630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation aed24eb4-28cb-4cf1-bf45-c62f7738867c · outbound
This paper cites Analysis of a complex of statistical variables into principal components.
On the Downstream Performance of Compressed Word Embeddings Analysis of a complex of statistical variables into principal components
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:29:24.372448Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 16f2cd2d-0e97-4233-99dd-ecca4f2f4462 · outbound
This paper cites Tensorized Embedding Layers for Efficient Model Compression.
On the Downstream Performance of Compressed Word Embeddings Tensorized Embedding Layers for Efficient Model Compression
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:29:24.376567Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9f191053-3bbe-4fc0-8d62-b46fcfe29c99 · outbound
This paper cites an unresolved cited work.
On the Downstream Performance of Compressed Word Embeddings Unresolved cited work
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9e304fbb-20bf-41b7-8e42-5f3bed5355bc · outbound
This paper cites Convolutional neural networks for sentence classification.
On the Downstream Performance of Compressed Word Embeddings Convolutional neural networks for sentence classification
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:24.932347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 4b9f61e4-0a56-49c9-8a67-fa225d13f73a · outbound
This paper cites Adam: A Method for Stochastic Optimization.
On the Downstream Performance of Compressed Word Embeddings Adam: A Method for Stochastic Optimization
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:29:24.390129Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 504a76d6-f241-4c94-93f9-c093de96149e · outbound
This paper cites Neural word embedding as implicit matrix factorization.
On the Downstream Performance of Compressed Word Embeddings Neural word embedding as implicit matrix factorization
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:24.918456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c843ed05-a01d-4c23-ad1a-4cb4a8559c33 · outbound
This paper cites Mixed precision training.
On the Downstream Performance of Compressed Word Embeddings Mixed precision training
Reference 21
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 334d13b2-00b8-4f5b-9ca6-7fbcce820cef · outbound
This paper cites Efficient Estimation of Word Representations in Vector Space.
On the Downstream Performance of Compressed Word Embeddings Efficient Estimation of Word Representations in Vector Space
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T05:29:24.401492Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e4058895-0a0d-4440-90c5-b8f8b87c71c2 · outbound
This paper cites Advances in pre-training distributed word representations.
On the Downstream Performance of Compressed Word Embeddings Advances in pre-training distributed word representations
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:24.889867Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9597a499-c7d3-47b5-87c6-5fc096e9d2d4 · outbound
This paper cites Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization.
On the Downstream Performance of Compressed Word Embeddings Parameter efficient training of deep convolutional neural networks by dynamic sparse reparameterization
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:24.876490Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation a2292c4d-cc41-4e3e-86dc-bed432280aca · outbound
This paper cites fairseq: A fast, extensible toolkit for sequence modeling.
On the Downstream Performance of Compressed Word Embeddings fairseq: A fast, extensible toolkit for sequence modeling
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:24.862245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5c70270a-6f9d-4e0b-9540-63aea5156b4d · outbound
This paper cites Automatic differentiation in PyTorch.
On the Downstream Performance of Compressed Word Embeddings Automatic differentiation in PyTorch
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:24.847952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 53693ff5-6966-4fd0-8f3f-a8d76b16b3b9 · outbound
This paper cites Pedregosa, G.
On the Downstream Performance of Compressed Word Embeddings Pedregosa, G
Reference 27
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 994a0811-d3d0-43da-a5f0-a44565e35782 · outbound
This paper cites an unresolved cited work.
On the Downstream Performance of Compressed Word Embeddings Unresolved cited work
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 08200b54-8f0a-4474-8b5e-a7ef1f641ca9 · outbound
This paper cites Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer.
On the Downstream Performance of Compressed Word Embeddings Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:24.813463Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 631bb0d9-f364-43e7-92e0-64044974ed5d · outbound
This paper cites Sur les équations algébriques ayant toutes leurs racines réelles.Mathematica, 9:129–145, 1935.
On the Downstream Performance of Compressed Word Embeddings Sur les équations algébriques ayant toutes leurs racines réelles.Mathematica, 9:129–145, 1935
Reference 30
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 38251484-0ff8-4de2-a9e8-295e5ad31f71 · outbound
This paper cites Random features for large-scale kernel machines.
On the Downstream Performance of Compressed Word Embeddings Random features for large-scale kernel machines
Reference 31
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dab8e9be-f338-4705-8bbf-c0dfd209780c · outbound
This paper cites SQuAD: 100,000+ questions for machine comprehension of text.
On the Downstream Performance of Compressed Word Embeddings SQuAD: 100,000+ questions for machine comprehension of text
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:24.778899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation dbdd2121-6446-4ec0-bf33-4bdcf234bbd7 · outbound
This paper cites Compressing word embeddings via deep compositional code learning.
On the Downstream Performance of Compressed Word Embeddings Compressing word embeddings via deep compositional code learning
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:24.765308Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation dcdfae8d-dbfa-4b85-804a-d5382ca2f13f · outbound
This paper cites Manning, Andrew Y.
On the Downstream Performance of Compressed Word Embeddings Manning, Andrew Y
Reference 34
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8bae7354-1574-43c1-95bd-0f57871b5a84 · outbound
This paper cites Low-Memory Neural Network Training: A Technical Report.
On the Downstream Performance of Compressed Word Embeddings Low-Memory Neural Network Training: A Technical Report
Reference 35
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c3e95265-185d-4dd9-8a37-9754eca50444 · outbound
This paper cites Attention is all you need.
On the Downstream Performance of Compressed Word Embeddings Attention is all you need
Reference 36
- Resolution
- verified fuzzy
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Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9ecd0d50-556c-46f2-8005-614e1d868493 · outbound
This paper cites GLUE: A multi-task benchmark and analysis platform for natural language understanding.
On the Downstream Performance of Compressed Word Embeddings GLUE: A multi-task benchmark and analysis platform for natural language understanding
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:24.729783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation e92973f7-baa6-4922-9379-122e0c27e36d · outbound
This paper cites an unresolved cited work.
On the Downstream Performance of Compressed Word Embeddings Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T05:29:24.715598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 520d43d7-cbf0-44d2-b2d4-1f048cb56d75 · outbound
This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.
On the Downstream Performance of Compressed Word Embeddings Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Reference 39
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02ffaca1-e12e-4e32-be04-401933898123 · outbound
This paper cites On the dimensionality of word embedding.
On the Downstream Performance of Compressed Word Embeddings On the dimensionality of word embedding
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:24.701813Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 0f01a0f3-d519-4915-8da5-fa157e2924e2 · outbound
This paper cites Low-precision random Fourier features for memory-constrained kernel approximation.
On the Downstream Performance of Compressed Word Embeddings Low-precision random Fourier features for memory-constrained kernel approximation
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:24.688638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b1e51917-2d65-410e-a11b-5e1064341753 · outbound
This paper cites In Table 3, we show the impact of the above perturbation on the various measures of compression quality we have discussed.
On the Downstream Performance of Compressed Word Embeddings In Table 3, we show the impact of the above perturbation on the various measures of compression quality we have discussed
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:24.675360Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 71efb262-13c3-4b03-9927-1bd894c75319 · outbound
This paper cites an unresolved cited work.
On the Downstream Performance of Compressed Word Embeddings Unresolved cited work
Reference 44
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T05:29:24.662357Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f096813e-0e05-46c9-90bd-d47f2f62fbff · outbound
This paper cites GloVe|ρ|| fastText|ρ|.
On the Downstream Performance of Compressed Word Embeddings GloVe|ρ|| fastText|ρ|
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:24.650261Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 993dd7d5-8917-48a3-8ec0-ee3e71bfc4ea · outbound
This paper cites an unresolved cited work.
On the Downstream Performance of Compressed Word Embeddings Unresolved cited work
Reference 46
- Resolution
- unresolved
- raw_fallback, observed 2026-08-14T05:29:24.637477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 41630905-0d39-46f5-9754-499c4e5633da · outbound
This paper cites uncompressed.
On the Downstream Performance of Compressed Word Embeddings uncompressed
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:24.625589Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 484dc035-0d92-45c9-a88a-3f383c0c1811 · outbound
This paper cites [Online; published 13-Sept-2018; accessed 20-May- 2019].
On the Downstream Performance of Compressed Word Embeddings [Online; published 13-Sept-2018; accessed 20-May- 2019]
Reference 2018
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T05:29:25.029790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
Observation f533666e-0571-4300-b704-1349a91476d5 · inbound
Survey in Characterizing Semantic Change cites this paper.
Survey in Characterizing Semantic Change On the Downstream Performance of Compressed Word Embeddings
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T03:53:55.578426Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.