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Paper Citation Record · LEDGER

Semantic similarity estimation for domain specific data using BERT and other techniques

As of 22 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2506.18602.

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

pith.paper-citation-record.v1
2506.18602 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:19:07.352512Z

measured 28 of 28 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 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

28 of 28 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7b821b2-7321-44fe-be3b-8e42ff3af6e1 · outbound

This paper cites and Cambria, E., Recent Trends in Deep Learning Based Natural Language Processing.

Semantic similarity estimation for domain specific data using BERT and other techniques and Cambria, E., Recent Trends in Deep Learning Based Natural Language Processing

Reference 1

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

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Observation b25ec8b7-6beb-4763-af89-863001c13f0a · outbound

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

Semantic similarity estimation for domain specific data using BERT and other techniques BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2

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Observation 4b0bbaa1-d802-4750-9d45-08acaa370e16 · outbound

This paper cites and Bordes, A.: Supervised Learn- ing of Universal Sentence Representations from Natural Language Inference Data.

Semantic similarity estimation for domain specific data using BERT and other techniques and Bordes, A.: Supervised Learn- ing of Universal Sentence Representations from Natural Language Inference Data

Reference 3

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Observation 373cb246-5645-4cb3-821e-c78220bd3303 · outbound

This paper cites Universal Sentence Encoder.

Semantic similarity estimation for domain specific data using BERT and other techniques Universal Sentence Encoder

Reference 4

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Observation 19cb8eb2-ef0f-4186-83fd-36bd9081d6a8 · outbound

This paper cites Evaluation of sentence embeddings in downstream and linguistic probing tasks.

Semantic similarity estimation for domain specific data using BERT and other techniques Evaluation of sentence embeddings in downstream and linguistic probing tasks

Reference 5

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Observation 91e8f37b-1730-47f5-a70f-841b10dadb92 · outbound

This paper cites SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation.

Semantic similarity estimation for domain specific data using BERT and other techniques SemEval-2017 Task 1: Semantic Textual Similarity - Multilingual and Cross-lingual Focused Evaluation

Reference 6

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Observation 73cdf843-c597-4318-8f3d-cb8f5a93b44d · outbound

This paper cites and Gonzalez-Agirre, A.: Semeval-2012 task 6: A pilot on semantic textual similarity.

Semantic similarity estimation for domain specific data using BERT and other techniques and Gonzalez-Agirre, A.: Semeval-2012 task 6: A pilot on semantic textual similarity

Reference 7

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

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Observation 2e84ab37-d119-4bdb-8c25-684477777fae · outbound

This paper cites and Guo, W.: * SEM 2013 shared task: Semantic textual similarity.

Semantic similarity estimation for domain specific data using BERT and other techniques and Guo, W.: * SEM 2013 shared task: Semantic textual similarity

Reference 8

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Observation 93c2b21b-a37a-4674-9df7-d9f5205d8738 · outbound

This paper cites and Rigau, G.: Semeval-2015 task 2: Semantic textual similarity, English, Spanish and pilot on interpretability.

Semantic similarity estimation for domain specific data using BERT and other techniques and Rigau, G.: Semeval-2015 task 2: Semantic textual similarity, English, Spanish and pilot on interpretability

Reference 9

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

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Observation c4fd3d8a-8bd3-4c6a-aaf7-e2140ab5a159 · outbound

This paper cites and Wiebe, J.: Semeval-2014 task 10: Multilingual semantic textual similarity.

Semantic similarity estimation for domain specific data using BERT and other techniques and Wiebe, J.: Semeval-2014 task 10: Multilingual semantic textual similarity

Reference 10

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Observation 2ceb8bb1-5ac4-4e6f-9dc8-3cf9257b0b9c · outbound

This paper cites and Wiebe, J.: Semeval-2016 task 1: Semantic textual similarity, monolingual and cross-lingual evaluation.

Semantic similarity estimation for domain specific data using BERT and other techniques and Wiebe, J.: Semeval-2016 task 1: Semantic textual similarity, monolingual and cross-lingual evaluation

Reference 11

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Observation 5efe868d-bf7e-4d19-ac03-d2bdf11f339a · outbound

This paper cites and Dean, J.: Distributed representations of words and phrases and their compositionality.

Semantic similarity estimation for domain specific data using BERT and other techniques and Dean, J.: Distributed representations of words and phrases and their compositionality

Reference 12

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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.

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Observation c8c69719-4eee-414a-92ac-fb2988f071b0 · outbound

This paper cites and Manning, C.: Glove: Global vectors for word rep- resentation.

Semantic similarity estimation for domain specific data using BERT and other techniques and Manning, C.: Glove: Global vectors for word rep- resentation

Reference 13

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Observation 15e4a522-a650-4332-ace6-e9db443e95ca · outbound

This paper cites and Polosukhin, I.: Attention is all you need.

Semantic similarity estimation for domain specific data using BERT and other techniques and Polosukhin, I.: Attention is all you need

Reference 14

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Observation 405d3e2c-12fb-48e6-a47a-ce6f12629c21 · outbound

This paper cites and Daum´ e III, H.: Deep unordered composition rivals syntactic methods for text classification.

Semantic similarity estimation for domain specific data using BERT and other techniques and Daum´ e III, H.: Deep unordered composition rivals syntactic methods for text classification

Reference 15

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Observation a88bb181-e000-4922-afe4-66fd9abc0553 · outbound

This paper cites and Fidler, S.: Skip-thought vectors.

Semantic similarity estimation for domain specific data using BERT and other techniques and Fidler, S.: Skip-thought vectors

Reference 16

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

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Observation cbd554ba-3384-4f58-ac47-c4cdacfa0c14 · outbound

This paper cites Efficient Natural Language Response Suggestion for Smart Reply.

Semantic similarity estimation for domain specific data using BERT and other techniques Efficient Natural Language Response Suggestion for Smart Reply

Reference 17

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Observation 62b74be4-3c7e-4d17-b6f7-26c97d25566d · outbound

This paper cites and Manning, C.D., 2015.

Semantic similarity estimation for domain specific data using BERT and other techniques and Manning, C.D., 2015

Reference 18

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

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Observation 98e5a792-4248-4b43-87b0-e84dfebf144c · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

Semantic similarity estimation for domain specific data using BERT and other techniques GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 19

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This paper cites and Zettle- moyer, L.: Deep Contextualized Word Representations.

Semantic similarity estimation for domain specific data using BERT and other techniques and Zettle- moyer, L.: Deep Contextualized Word Representations

Reference 20

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

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This paper cites Technical report, OpenAI (2018).

Semantic similarity estimation for domain specific data using BERT and other techniques Technical report, OpenAI (2018)

Reference 21

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This paper cites and Mikolov, T.: Enriching word vectors with subword information.

Semantic similarity estimation for domain specific data using BERT and other techniques and Mikolov, T.: Enriching word vectors with subword information

Reference 22

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This paper cites and Fidler, S.: Aligning books and movies: Towards story-like visual explanations by watching movies and reading books.

Semantic similarity estimation for domain specific data using BERT and other techniques and Fidler, S.: Aligning books and movies: Towards story-like visual explanations by watching movies and reading books

Reference 23

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Observation e6a8371d-412c-4868-907e-9c653d0425b6 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Semantic similarity estimation for domain specific data using BERT and other techniques Gaussian Error Linear Units (GELUs)

Reference 24

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Observation a0dd6ae2-668e-4431-8e4b-33d307121546 · outbound

This paper cites an unresolved cited work.

Semantic similarity estimation for domain specific data using BERT and other techniques Unresolved cited work

Reference 25

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Semantic similarity estimation for domain specific data using BERT and other techniques Dr DOBBS J

Reference 26

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Semantic similarity estimation for domain specific data using BERT and other techniques Cancer, 3(1), pp.32-35 (1950)

Reference 27

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This paper cites and Bondell, H.: Optimal cut-point and its corresponding Youden Index to discriminate individuals using pooled blood samples.

Semantic similarity estimation for domain specific data using BERT and other techniques and Bondell, H.: Optimal cut-point and its corresponding Youden Index to discriminate individuals using pooled blood samples

Reference 28

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Pith citing papers

No inbound Pith citation observations are available.