Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:08:08.617606Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 0 inbound Pith citation observations for arXiv:1908.07820.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T13:08:08.617606Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
34 of 34 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 4829425e-635c-4dd4-8b62-0dfe9c46bc7e · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing A Survey on Multi-Task Learning
Reference 1
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 13dea557-9ad7-4e56-981a-b22d93f9c132 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Rich, Multitask learning, Machine Learning., 28, , 41–75, (1997),
Reference 2
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a114a445-b05a-46ee-a089-ded1e44c9460 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing An Overview of Multi-Task Learning in Deep Neural Networks
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 51cfd4f2-83b6-4d38-ad7c-cba2577326f5 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Liqiang, Z
Reference 4
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 538e443b-39c1-495f-ae3e-f23a3e032a59 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Ishan, S
Reference 5
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 099740d1-6392-40f3-89ef-f3500a9dbaaf · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Latent Multi-task Architecture Learning
Reference 6
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e5aae897-58cf-44f3-816c-76e01a6f314a · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Multi-Task Deep Neural Networks for Natural Language Understanding
Reference 7
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a9c2bbd8-db23-4daa-b340-0501c5e5fec8 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Recurrent Neural Network for Text Classification with Multi-Task Learning
Reference 8
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 887ab7d6-e72e-4a36-9b64-556c7e53f35d · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Adversarial Multi-task Learning for Text Classification
Reference 9
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation c4f42657-37d8-4207-bc5b-04172c46aa88 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Anders , G
Reference 10
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation a98f49f6-1f23-4208-a4e5-11b5412a37f5 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing A Joint Many-Task Model: Growing a Neural Network for Multiple NLP Tasks
Reference 11
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 74a46966-47e0-466e-b8b1-71c834f3091d · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Sepp , S
Reference 12
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation b7a0fbe9-5e1b-4a38-b207-e30e68b8fb98 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Jeffreyl, Finding structure in time, Cognitive Science., 14, , 179–211, (1990),
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 2f19e522-0feb-4566-9d69-8beb3af120dd · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Enhanced LSTM for Natural Language Inference
Reference 14
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ecf0e22-c35b-42ec-98e1-e3aad7bc250e · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Konstantinos, T
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation dbf44492-0fc0-4786-9971-65899545d6c3 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Multi-task Learning of Pairwise Sequence Classification Tasks Over Disparate Label Spaces
Reference 16
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation e10b4dc0-ca03-4bc0-bbbd-09b5beede143 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Brianw, Comparison of the predicted and observed secondary structure of T4 phage lysozyme, Biochimica Et Biophysica Acta (bba)-protein Structure., 405, , 442–451, (1975),
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation f5672197-d112-4a70-936d-5a015320a1fe · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Richard, P
Reference 19
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4b5e9f98-75c0-4899-9fef-32fd83f44d85 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Williamb , B
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 7dade52f-a00a-4e01-9e20-db52de2214ff · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation
Reference 21
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbd5d996-5dcb-4b85-9de2-b2b8e7baf19e · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference
Reference 22
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9b032806-5205-4bd9-99c0-a2d189e412fc · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing SQuAD: 100,000+ Questions for Machine Comprehension of Text
Reference 23
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 04a5123b-4eed-43ed-ab99-bcb245a89184 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding
Reference 24
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2989673e-44be-48dd-ba9e-da4aadbbbd02 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Neural Network Acceptability Judgments
Reference 25
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 52f722d7-986e-451a-825b-173e27477cc9 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Introduction to the CoNLL-2003 Shared Task: Language-Independent Named Entity Recognition
Reference 26
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 292af90d-a657-4e2c-a79d-36b3e96c9faf · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Multi-Task Cross-Lingual Sequence Tagging from Scratch
Reference 27
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33b67a42-1547-4485-8966-1f87d6127f8b · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing A large annotated corpus for learning natural language inference
Reference 28
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cd0fa290-add4-40bb-b26a-4cf63b6d31fa · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Tushar, S
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 1d4cfba0-2ff8-4686-97b7-1ed998f3a19a · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Mathieu, E
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 41b4d74e-94d1-4f96-b83e-8a45e7b322e6 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Unresolved cited work
Reference 31
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 4f9fe470-0386-4844-afc5-a3f65d9ce800 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Trace Norm Regularised Deep Multi-Task Learning
Reference 32
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6bb8aff-5710-4016-a2dc-6f2f75cb4c1c · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Mitchell, S
Reference 33
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 81d14034-e91c-4c58-b254-f8ca09efcc78 · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Unresolved cited work
Reference 34
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
Observation 31f6defb-2f81-4b90-8d0b-feab16e15a4c · outbound
Empirical Evaluation of Multi-task Learning in Deep Neural Networks for Natural Language Processing Constituency Parsing with a Self-Attentive Encoder
Reference 35
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.
No inbound Pith citation observations are available.