Paper Citation Record · LEDGER

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction

As of 16 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:1908.05908.

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

pith.paper-citation-record.v1
1908.05908 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:05:15.196251Z

measured 19 of 19 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

19 of 19 outbound references displayed

verified exact2
verified fuzzy7
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e2b74ff8-f25d-4b21-a487-9d24527e6e24 · outbound

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

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-14T13:05:15.124795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51c468f8-0ab2-4952-96fb-f51a27b8d6f1 · outbound

This paper cites an unresolved cited work.

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:05:15.440161Z

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 cfb00a44-2ba3-426c-bb87-4c624e7cf898 · outbound

This paper cites Relation classiﬁcation via convolutional deep neural network[J].

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction Relation classiﬁcation via convolutional deep neural network[J]

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:15.429922Z

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 534a63d5-0521-42e8-9a38-e93348bebd42 · outbound

This paper cites Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling.

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction Semantic Relation Classification via Convolutional Neural Networks with Simple Negative Sampling

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T13:05:15.137266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54f6b332-5a7c-4a08-a9cf-fac252180e51 · outbound

This paper cites ”Kernel methods for relation extraction.” Journal of machine learning research 3.Feb (2003): 1083-1106.

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction ”Kernel methods for relation extraction.” Journal of machine learning research 3.Feb (2003): 1083-1106

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:15.419441Z

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 75371edc-2d7c-4a1c-bc89-afff4cccdf5c · outbound

This paper cites an unresolved cited work.

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:05:15.408748Z

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 0ccf1649-ac0e-412d-b2fd-6d7576d08089 · outbound

This paper cites an unresolved cited work.

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:05:15.397972Z

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 be9a8af6-a6fd-4a2d-88a0-cb9cf0087001 · outbound

This paper cites an unresolved cited work.

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:05:15.387436Z

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 41ffc588-6176-4510-a230-85f3dc81f6dd · outbound

This paper cites ”Modeling joint entity and relation extraction with table representation.” Proceedings of the 2014 Conference on Empirical Meth- ods in Natural Language Processing (EMNLP).

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction ”Modeling joint entity and relation extraction with table representation.” Proceedings of the 2014 Conference on Empirical Meth- ods in Natural Language Processing (EMNLP)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:15.376619Z

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 e0c4c246-9e40-499e-816a-6e6a25153082 · outbound

This paper cites ”Incremental joint extraction of entity mentions and relations.” Proceedings of the 52nd Annual Meeting of the Association for Computational Lin- guistics (Volume 1: Long Papers).

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction ”Incremental joint extraction of entity mentions and relations.” Proceedings of the 52nd Annual Meeting of the Association for Computational Lin- guistics (Volume 1: Long Papers)

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:15.365664Z

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 7d923c15-aea6-40dd-b8f2-efe285ed4617 · outbound

This paper cites an unresolved cited work.

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:05:15.354514Z

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 fc713780-7086-41e6-ae16-9b6eb0a347eb · outbound

This paper cites an unresolved cited work.

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:05:15.342959Z

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 a1ee5510-63f5-47f5-bcad-437fdb431e7b · outbound

This paper cites an unresolved cited work.

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-14T13:05:15.331457Z

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 e398ae5e-7597-4058-af61-e2f71970e419 · outbound

This paper cites Entity-Relation Extraction as Multi-Turn Question Answering.

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction Entity-Relation Extraction as Multi-Turn Question Answering

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:05:15.260404Z

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 cd35f137-fdb4-40f3-be57-a48cad1062c3 · outbound

This paper cites ”Joint entity recognition and relation extraction as a multi- head selection problem.” Expert Systems with Applications 114 (2018): 34-45.

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction ”Joint entity recognition and relation extraction as a multi- head selection problem.” Expert Systems with Applications 114 (2018): 34-45

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:15.320131Z

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 23e5021a-3d5c-4da7-ad06-14d62ab8705c · outbound

This paper cites ”Conditional ran- dom ﬁelds: Probabilistic models for segmenting and labeling sequence data.” (2001).

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction ”Conditional ran- dom ﬁelds: Probabilistic models for segmenting and labeling sequence data.” (2001)

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:15.307414Z

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 2ce28367-e468-4011-826a-9ce35f5ea65b · outbound

This paper cites End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures.

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-14T13:05:15.188834Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b557c8f0-fdfb-47f5-8c3b-b2ce6ed4d3b3 · outbound

This paper cites ”Xgboost: A scalable tree boosting system.” Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining.

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction ”Xgboost: A scalable tree boosting system.” Proceedings of the 22nd acm sigkdd international conference on knowledge discovery and data mining

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:05:15.295286Z

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 929e65e0-c9f1-4362-a276-f704173cdbcc · outbound

This paper cites Symmetric Regularization based BERT for Pair-wise Semantic Reasoning.

BERT-Based Multi-Head Selection for Joint Entity-Relation Extraction Symmetric Regularization based BERT for Pair-wise Semantic Reasoning

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-14T13:05:15.232636Z

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.