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Paper Citation Record · LEDGER

Sequential Learning of Convolutional Features for Effective Text Classification

As of 20 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:1909.00080.

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

pith.paper-citation-record.v1
1909.00080 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T10:06:40.141111Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4654a1ae-adeb-42a0-99da-69d84ab1bfe8 · outbound

This paper cites Convolutional Neural Networks for Sentence Classification.

Sequential Learning of Convolutional Features for Effective Text Classification Convolutional Neural Networks for Sentence Classification

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T10:06:40.102352Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:06:40.102352Z digest=sha256:1c768cc626762796482a8aede3a3b253de36b15e36b483d445bd455f98b5fdb5

Observation 8bb068fe-c61b-495b-862d-1e2428dfd14a · outbound

This paper cites Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks.

Sequential Learning of Convolutional Features for Effective Text Classification Sequential Short-Text Classification with Recurrent and Convolutional Neural Networks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T10:06:40.106885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:06:40.106885Z digest=sha256:c2d0d1d1d820d07b926f1e74762d9db223a4fbc4694b65d7a6112592cb4861bc

Observation 65af4476-f8f9-418e-8ca7-1372e90dd8b9 · outbound

This paper cites Attentive Pooling Networks.

Sequential Learning of Convolutional Features for Effective Text Classification Attentive Pooling Networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-14T10:06:40.124796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:06:40.124796Z digest=sha256:9a3de24be332ebd985e6e6802f3c4da73b68f59675488eb82bd8932c04b18a79

Observation 84407a07-2122-4d87-9d20-c82281adb4eb · outbound

This paper cites The Journal of Machine Learning Research, 15(1):1929–1958.

Sequential Learning of Convolutional Features for Effective Text Classification The Journal of Machine Learning Research, 15(1):1929–1958

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:06:40.304074Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T10:06:40.132775Z digest=sha256:8624da9a6c950712415d828a014677a0c6a99148ddaae4d7d827d28e934bc724

Observation 273f2d53-6448-4196-b4ef-b0e2967cac92 · outbound

This paper cites In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computa- tional Linguistics: Human Language Technologies , pages 1480–1489.

Sequential Learning of Convolutional Features for Effective Text Classification In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computa- tional Linguistics: Human Language Technologies , pages 1480–1489

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:06:40.292644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T10:06:40.137164Z digest=sha256:8e8e033121d2b6596f9a7993abf8985e7cc1230af6f07473db98236eee0070da

Observation dd9712a5-2b17-46f7-afac-0798e3dc14e2 · outbound

This paper cites A C-LSTM Neural Network for Text Classification.

Sequential Learning of Convolutional Features for Effective Text Classification A C-LSTM Neural Network for Text Classification

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-14T10:06:40.141111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:06:40.141111Z digest=sha256:0c794db4aad616449ea07b93ec134f47fd811e52381bfee410b26c11b04ce8ac

Observation ed4ef322-9d71-46a7-8691-7ca406097c2e · outbound

This paper cites Effectiveness of Self Normalizing Neural Networks for Text Classification.

Sequential Learning of Convolutional Features for Effective Text Classification Effectiveness of Self Normalizing Neural Networks for Text Classification

Reference 2008

Resolution
metadata mismatch
local_arxiv, observed 2026-08-14T10:06:40.206497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T10:06:40.120485Z digest=sha256:aa8671bbab1d4a66b075d828997781e2cb935c5c53001cb297827cb94821c80e

Observation b01f4520-4866-4b59-aabe-e2b252981e6e · outbound

This paper cites In Proceedings of the 2013 conference on empirical methods in natural language processing , pages 1631–1642.

Sequential Learning of Convolutional Features for Effective Text Classification In Proceedings of the 2013 conference on empirical methods in natural language processing , pages 1631–1642

Reference 2013

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T10:06:40.315956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-14T10:06:40.128833Z digest=sha256:7dfcf24d9aafe07a06e4cd6286fb591a6ecd98276585ac6e77de593e71101bc3

Observation da64e77d-a87a-46e4-ba30-3d99c524cab9 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Sequential Learning of Convolutional Features for Effective Text Classification Neural Machine Translation by Jointly Learning to Align and Translate

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-14T10:06:40.087119Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:06:40.087119Z digest=sha256:1ea56e85b580fc5e81dd18f6b2fc8fe00e0db9e59c66813263723f19cfc9f854

Observation 894e50ae-cbe9-49a0-a09e-78bc0ef73c98 · outbound

This paper cites Effective Approaches to Attention-based Neural Machine Translation.

Sequential Learning of Convolutional Features for Effective Text Classification Effective Approaches to Attention-based Neural Machine Translation

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-14T10:06:40.116516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:06:40.116516Z digest=sha256:eb1efc44023c66cbfb979642916d2f3b7bea4652090e79f9310c0427a098b6b7

Observation 90842cfc-8d6c-4492-b33e-34475c73c2d2 · outbound

This paper cites Very Deep Convolutional Networks for Text Classification.

Sequential Learning of Convolutional Features for Effective Text Classification Very Deep Convolutional Networks for Text Classification

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-14T10:06:40.092958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:06:40.092958Z digest=sha256:0d8722fa621a8344be7b7296b4b3612144f5a56a4e769ab7443a7ab424e9e216

Observation dd105ede-69ad-433c-9517-da7b0fee0b96 · outbound

This paper cites A Structured Self-attentive Sentence Embedding.

Sequential Learning of Convolutional Features for Effective Text Classification A Structured Self-attentive Sentence Embedding

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-14T10:06:40.111626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:06:40.111626Z digest=sha256:480ddeaa22ddfe671a767f8be308b245e5e6eb2e2f04a9e6d695edf14e129acb

Observation 079fbb3e-833b-40c2-9010-d2131e93d17d · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Sequential Learning of Convolutional Features for Effective Text Classification BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2018

Resolution
unresolved
no resolver link, observed 2026-08-14T10:06:40.097677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:06:40.097677Z digest=sha256:ab6601b70d20ab07697cb0396b15391147ba8a2d5b9f78ad5ceb693ff06de6ed

Pith citing papers

No inbound Pith citation observations are available.