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Paper Citation Record · LEDGER

BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:1904.02232.

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

pith.paper-citation-record.v1
1904.02232 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:34:57.952095Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-05-25T00:46:30.630943Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 80bf4d24-9cb4-4422-95cc-2a5856fc6831 · inbound

To Tune or Not To Tune? How About the Best of Both Worlds? cites this paper.

To Tune or Not To Tune? How About the Best of Both Worlds? BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-25T00:46:30.633877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-25T00:45:10.865484Z digest=sha256:586ac567ac6c97a05482bada6f1dc2b6a51cdbfdd4d05e0cde7cdaf01e3e2d77

Observation 78220601-866b-40a9-a095-0f1b43181344 · inbound

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection cites this paper.

An Effective Domain Adaptive Post-Training Method for BERT in Response Selection BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-14T13:34:57.952095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:34:57.952095Z digest=sha256:9fed5e92b2dc50162ad8d3bde9a734a9b67c1612229d8d4cc402c6d967c315fb

Observation ba9983b0-23ac-4d95-b50f-3d28de915a8c · inbound

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification cites this paper.

Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-14T10:09:29.225430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T10:09:29.225430Z digest=sha256:83a49319ac4fccf8125f55ebf36731936e098af91e2a9889bd33d104a3e8b516

Observation e5e5a0de-6697-49b7-b225-55f8ac35c6d3 · inbound

A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis cites this paper.

A Novel Aspect-Guided Deep Transition Model for Aspect Based Sentiment Analysis BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-14T05:58:47.088365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T05:58:47.088365Z digest=sha256:755a41bcc9ceaf287617d450a8abea7e60b6ec562f77284b1e96a93e51bc9d76

Observation 01eaee06-0eed-42a8-89af-e766db5a3335 · inbound

Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks cites this paper.

Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-14T04:50:15.231116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T04:50:15.231116Z digest=sha256:f3e7ef7230f0ea414c1e180dbb049d1d547e0cd4d9f8b75f2bca87d4dc50c350

Observation 9e45f320-7e48-4836-95fa-bff21cc00e4b · inbound

Knowledge Bases in Support of Large Language Models for Processing Web News cites this paper.

Knowledge Bases in Support of Large Language Models for Processing Web News BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-12T21:49:40.730469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T21:49:40.730469Z digest=sha256:db70350c2c93eb9a395d0a406eda9bb19a974a647426eb0fa0a9ceaa20c8bfa0

Observation 7cb8b4a6-ff78-4df5-82c7-1ca847f07e64 · inbound

Real-Time Prediction for Athletes' Psychological States Using BERT-XGBoost: Enhancing Human-Computer Interaction cites this paper.

Real-Time Prediction for Athletes' Psychological States Using BERT-XGBoost: Enhancing Human-Computer Interaction BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-11T20:21:53.406228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:21:53.406228Z digest=sha256:e0ee4eaf83111b65c7eda20b9c7dbf7c07eaf4c743e9e30f74ff0b3f9e41750b

Observation f368d523-b78a-4755-8edb-57f57b8d2c2e · inbound

SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models cites this paper.

SecPE: Secure Prompt Ensembling for Private and Robust Large Language Models BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-09T17:36:28.847529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:36:28.847529Z digest=sha256:cbc53377c4a1eacfdde8d4c5c2dd8a4455419b3a0483ade81fa5a5143249a629