Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T15:19:04.438134Z
Paper Citation Record · LEDGER
Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0
As of 16 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:1908.01767.
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 2026-08-16T06:30:59.297886+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
10 of 10 outbound references displayed
- verified exact1
- verified fuzzy2
- unresolved7
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 21a46566-f4f2-4ddc-9d1e-72e8f05cf721 · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0 BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:19:04.393312Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65eb85b4-ef89-435f-92aa-e71a24030486 · outbound
This paper cites Know What You Don't Know: Unanswerable Questions for SQuAD.
Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0 Know What You Don't Know: Unanswerable Questions for SQuAD
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:19:04.398284Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 106beafb-e526-4276-a602-932d9ab743ef · outbound
This paper cites Comparative Study of CNN and RNN for Natural Language Processing.
Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0 Comparative Study of CNN and RNN for Natural Language Processing
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:19:04.422871Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d4a6f245-0ca2-47da-b9fd-c7ee7ff1bbfe · outbound
This paper cites Tf.nn.rnn_cell.LSTMCell : TensorFlow Core r1.14 : TensorFlow.
Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0 Tf.nn.rnn_cell.LSTMCell : TensorFlow Core r1.14 : TensorFlow
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:19:04.628544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8daf2281-87cc-42aa-aa8d-5b7ff0644472 · outbound
This paper cites Understanding LSTM Networks.
Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0 Understanding LSTM Networks
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T15:19:04.612977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 35308959-a12a-49e7-925b-25052b8bf13b · outbound
This paper cites Learning Context-Sensitive Convolutional Filters for Text Processing.
Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0 Learning Context-Sensitive Convolutional Filters for Text Processing
Reference 10
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T15:19:04.481273Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a90f5c03-f4be-40f0-8700-055d621e129e · outbound
This paper cites Convolutional Neural Networks for Sentence Classification.
Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0 Convolutional Neural Networks for Sentence Classification
Reference 2014
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:19:04.416131Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e50ee3a9-38d3-437a-a2d9-100f1971761f · outbound
This paper cites A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification.
Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0 A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification
Reference 2015
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:19:04.410470Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7c33262a-90eb-44d7-8b14-2bdb3b90f26e · outbound
This paper cites Attention Is All You Need.
Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0 Attention Is All You Need
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:19:04.404819Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef36bfd8-bc82-491c-b453-bc135f1f7d3a · outbound
This paper cites Deep contextualized word representations.
Exploring Neural Net Augmentation to BERT for Question Answering on SQUAD 2.0 Deep contextualized word representations
Reference 2018
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T15:19:04.387976Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.