Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-25T02:05:45.602929Z
Paper Citation Record · LEDGER
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks
As of 19 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:1907.02649.
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 2026-08-19T06:32:44.657259+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
Reference resolution
14 of 14 outbound references displayed
- verified exact10
- verified fuzzy4
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation f4226af6-4aa4-4f2f-9d56-e9697f1d9c4c · outbound
This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks Neural Machine Translation by Jointly Learning to Align and Translate
Reference 1
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T02:06:32.686537Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation fd74598d-4ad3-4df4-bee2-796a4a2d91ca · outbound
This paper cites End-to-end attention-based large vocabulary speech recognition.
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks End-to-end attention-based large vocabulary speech recognition
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T02:06:32.734954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c3504014-b8f5-4d18-b60e-0d732af19515 · outbound
This paper cites Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning.
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks Optimal Kronecker-Sum Approximation of Real Time Recurrent Learning
Reference 3
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T02:06:32.706191Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation b51a8edd-2e02-461f-86f2-608a1d31f076 · outbound
This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation
Reference 4
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T02:06:32.696469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation c056bed8-36fc-4042-ac4c-4b5f9bc66c59 · outbound
This paper cites On the Variance of Unbiased Online Recurrent Optimization.
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks On the Variance of Unbiased Online Recurrent Optimization
Reference 5
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T02:06:32.692712Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 74d07050-9fd2-4159-9793-96537fd3399c · outbound
This paper cites Generating Sequences With Recurrent Neural Networks.
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks Generating Sequences With Recurrent Neural Networks
Reference 6
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T02:06:32.714776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation d175fcbe-88e5-49e0-9e83-fbcb6e49faf9 · outbound
This paper cites Adam: A Method for Stochastic Optimization.
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks Adam: A Method for Stochastic Optimization
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T02:06:32.697233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 95544b46-ad4d-4d82-acbf-bd4a9743ac23 · outbound
This paper cites doi: https://doi.org/ 10.1016/j.conb.2019.01.011.
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks doi: https://doi.org/ 10.1016/j.conb.2019.01.011
Reference 8
- Resolution
- verified exact
- doi, observed 2026-05-25T02:06:32.415910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 24126657-0330-4d60-b796-8147eb5ec5b4 · outbound
This paper cites Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations.
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks Continual Learning of Recurrent Neural Networks by Locally Aligning Distributed Representations
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T02:06:32.719891Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation cb2a3ab0-7267-4b07-b5d7-7780ba411b49 · outbound
This paper cites Learning to Adapt by Minimizing Discrepancy.
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks Learning to Adapt by Minimizing Discrepancy
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T02:06:32.701498Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation a6c9924e-6bc4-45a1-bb5c-5127eae8fc39 · outbound
This paper cites Christopher Roth, Ingmar Kanitscheider, and Ila Fiete.
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks Christopher Roth, Ingmar Kanitscheider, and Ila Fiete
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T02:06:32.723394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 5a68f9e6-382b-479e-b2fd-ea97f1b73d2e · outbound
This paper cites Unbiased Online Recurrent Optimization.
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks Unbiased Online Recurrent Optimization
Reference 12
- Resolution
- verified exact
- local_arxiv, observed 2026-05-25T02:06:32.710394Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 2f5cb300-7b7b-45b1-aea4-7644761510b9 · outbound
This paper cites Lemma for generating rank-1 unbiased estimates For completeness, we state the Lemma from Tallec and Ollivier (2017) in components notation.
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks Lemma for generating rank-1 unbiased estimates For completeness, we state the Lemma from Tallec and Ollivier (2017) in components notation
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T02:06:32.729708Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 9f31b854-7c06-46a8-b4fa-368773734941 · outbound
This paper cites (2019) use (1 − exp(−γi)) rather than αi as a temporal filter for B(t) ij.
A Unified Framework of Online Learning Algorithms for Training Recurrent Neural Networks (2019) use (1 − exp(−γi)) rather than αi as a temporal filter for B(t) ij
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-25T02:06:32.726611Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Pith citing papers
No inbound Pith citation observations are available.