Paper Citation Record · LEDGER

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts

As of 16 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:1908.02286.

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

pith.paper-citation-record.v1
1908.02286 v2

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:58:29.823657Z

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

16 of 16 outbound references displayed

verified exact0
verified fuzzy13
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 482264c1-dc6f-4eb7-9e6e-d55a304cb36a · outbound

This paper cites Recent automatic text summarization techniques: a survey,.

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts Recent automatic text summarization techniques: a survey,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:58:30.815348Z

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 d26a6523-2743-4ed4-aea7-845f65084205 · outbound

This paper cites CIBS: A biomedical text summarizer using topic -based sentence clustering,.

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts CIBS: A biomedical text summarizer using topic -based sentence clustering,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:58:30.799312Z

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 424103b5-5524-4318-8278-8d687546eb76 · outbound

This paper cites Different approaches for identifying important concepts in probabilistic biomedical text summarization,.

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts Different approaches for identifying important concepts in probabilistic biomedical text summarization,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:58:30.785955Z

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 98e102ae-2b3f-4eea-8a50-6702e464bd9a · outbound

This paper cites Text summarization in the biomedical domain: a systematic review of recent research,.

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts Text summarization in the biomedical domain: a systematic review of recent research,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:58:30.657820Z

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 868fd9d8-f340-432f-af49-1d12a54a01c3 · outbound

This paper cites A semantic graph-based approach to bi omedical summarisation,.

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts A semantic graph-based approach to bi omedical summarisation,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:58:30.544831Z

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 1ecc2348-2f73-4e25-a181-5b106554b8f2 · outbound

This paper cites Quantifying the informativeness for biomedical literature summarization: An itemset mining method,.

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts Quantifying the informativeness for biomedical literature summarization: An itemset mining method,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:58:30.529419Z

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 2a863071-692f-4782-95b8-fbc19e1f9764 · outbound

This paper cites Frequent Itemsets as Meaningful Events in Graphs for Summarizing Biomedical Texts,.

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts Frequent Itemsets as Meaningful Events in Graphs for Summarizing Biomedical Texts,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:58:30.514738Z

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 313403a4-e303-45a5-bf44-d4cf1bcb3353 · outbound

This paper cites Co ncept-based single - and multi-document biomedical text summarization,.

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts Co ncept-based single - and multi-document biomedical text summarization,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:58:30.498504Z

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 5f3d1879-e33e-47ec-8992-12c967dda524 · outbound

This paper cites Application of text mining in the biomedical domain,.

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts Application of text mining in the biomedical domain,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:58:30.282473Z

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 84866d9f-270b-4209-9aba-d972024c85ed · outbound

This paper cites Word representations: a simple and general method for semi -supervised learning,.

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts Word representations: a simple and general method for semi -supervised learning,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:58:30.261332Z

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 7511c9cc-3c9e-49b4-9aed-c9aec7b09f43 · outbound

This paper cites Semi-supervised sequence tagging with bidirectional language models.

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts Semi-supervised sequence tagging with bidirectional language models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T14:58:29.567847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b949b317-8aa7-4077-80b2-4930bd6de9e6 · outbound

This paper cites Improving language understanding by generative pre-training,.

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts Improving language understanding by generative pre-training,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:58:30.196490Z

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 2bf2002e-79ff-4884-9593-aecd82a73278 · outbound

This paper cites Deep contextualized word representations.

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts Deep contextualized word representations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-14T14:58:29.576939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75edf69f-e269-4265-8fed-137495ff47d8 · outbound

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

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-14T14:58:29.621581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4f39ca4-2346-4061-b40c-e77d4bf3544c · outbound

This paper cites Looking for a few good metrics: Automatic summarization evaluation -how many samples are enough?,.

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts Looking for a few good metrics: Automatic summarization evaluation -how many samples are enough?,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:58:30.067189Z

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 946d6f3e-7ea9-48b3-a3bf-e2ae722799fa · outbound

This paper cites SUMMA: A robust and adaptable summarization tool,.

Clustering of Deep Contextualized Representations for Summarization of Biomedical Texts SUMMA: A robust and adaptable summarization tool,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:58:29.995197Z

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.

Pith citing papers

No inbound Pith citation observations are available.