Paper Citation Record · LEDGER

Bidirectional LSTM-CRF Models for Sequence Tagging

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 44 inbound Pith citation observations for arXiv:1508.01991.

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

pith.paper-citation-record.v1
1508.01991 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 44 of 44 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:29.055797Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

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External citation measurements

1568
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation b42e0cb4-3d70-447d-b6d6-982bb3ddfae5 · inbound

Eliciting Knowledge from Experts:Automatic Transcript Parsing for Cognitive Task Analysis cites this paper.

Eliciting Knowledge from Experts:Automatic Transcript Parsing for Cognitive Task Analysis Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-05-25T15:25:59.049559Z

Source-reported events for the cited work

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Observation 612361ab-8971-4841-a1e0-c49d620cc64d · inbound

Approximate Inference in Structured Instances with Noisy Categorical Observations cites this paper.

Approximate Inference in Structured Instances with Noisy Categorical Observations Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-05-25T13:10:50.800248Z

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Observation 585a5e14-748f-4ff1-9c15-1a596ec3e156 · inbound

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks cites this paper.

Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-25T11:40:44.033017Z

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Observation 03e9ba44-26e6-4642-880e-749c895079dc · inbound

Short Text Conversation Based on Deep Neural Network and Analysis on Evaluation Measures cites this paper.

Short Text Conversation Based on Deep Neural Network and Analysis on Evaluation Measures Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-05-25T02:05:13.199039Z

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Observation 852d92b0-7f93-4c4d-a634-d2fd426e2b5e · inbound

TabTransformer: Tabular Data Modeling Using Contextual Embeddings cites this paper.

TabTransformer: Tabular Data Modeling Using Contextual Embeddings Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 80

Resolution: verified exact; local_arxiv, observed 2026-05-16T21:32:31.292795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9f7f34a9-6b53-44d6-8d03-0e8a115c36ba · inbound

A Survey on Vision-Language-Action Models for Embodied AI cites this paper.

A Survey on Vision-Language-Action Models for Embodied AI Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 273

Resolution: verified exact; local_arxiv, observed 2026-05-24T01:25:54.605965Z

Source-reported events for the cited work

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Observation d8d160b1-374c-4e6b-ba7c-8381013e36d2 · inbound

Utilizing Pre-trained and Large Language Models for 10-K Items Segmentation cites this paper.

Utilizing Pre-trained and Large Language Models for 10-K Items Segmentation Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-05-23T04:12:30.405562Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation db992547-789e-437e-bbc0-229c81864287 · inbound

SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs cites this paper.

SDLog: A Deep Learning Framework for Detecting Sensitive Information in Software Logs Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 38

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Source-reported events for the cited work

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Observation d941f812-1a46-49de-839f-a2327f0960f2 · inbound

WHISTRESS: Enriching Transcriptions with Sentence Stress Detection cites this paper.

WHISTRESS: Enriching Transcriptions with Sentence Stress Detection Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 39

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Observation f33f8309-fcad-4e00-aada-d538aab296cd · inbound

Retrieval Augmented Generation based Large Language Models for Causality Mining cites this paper.

Retrieval Augmented Generation based Large Language Models for Causality Mining Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 21

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Observation 7147a029-232a-4aca-a7e9-f60963fadbdf · inbound

Token and Span Classification for Entity Recognition in French Historical Encyclopedias cites this paper.

Token and Span Classification for Entity Recognition in French Historical Encyclopedias Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:19:55.948995Z

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Observation 9551fbcb-97c5-4189-866b-d1b6872819ca · inbound

NameTag 3: A Tool and a Service for Multilingual/Multitagset NER cites this paper.

NameTag 3: A Tool and a Service for Multilingual/Multitagset NER Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T10:19:18.137496Z

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Observation 57baa7a1-c96d-4822-a12e-97c728fc2e7d · inbound

RBA-FE: A Robust Brain-Inspired Audio Feature Extractor for Depression Diagnosis cites this paper.

RBA-FE: A Robust Brain-Inspired Audio Feature Extractor for Depression Diagnosis Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:48:38.273796Z

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Observation 8c4296fc-b0df-4797-a826-5768f0e2d5e4 · inbound

A Tutorial-cum-Survey on Self-Supervised Learning for Wi-Fi Sensing: Trends, Challenges, and Outlook cites this paper.

A Tutorial-cum-Survey on Self-Supervised Learning for Wi-Fi Sensing: Trends, Challenges, and Outlook Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 86

Resolution: unresolved; no resolver link, observed 2026-08-07T12:50:14.297060Z

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Observation 2ec6beb3-4cef-47df-aabf-3ec0ea034508 · inbound

A Transformer Based Handwriting Recognition System Jointly Using Online and Offline Features cites this paper.

A Transformer Based Handwriting Recognition System Jointly Using Online and Offline Features Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 17

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Observation 8c818a35-ba6b-472e-b2cb-869a69a9af79 · inbound

Ensemble BERT for Medication Event Classification on Electronic Health Records (EHRs) cites this paper.

Ensemble BERT for Medication Event Classification on Electronic Health Records (EHRs) Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T21:50:18.232109Z

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Observation 1c006004-85c9-4a06-af51-467b70397bcc · inbound

Natural language processing for African languages cites this paper.

Natural language processing for African languages Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 2799

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Observation b588957c-40f3-435a-8488-929fc3c321bc · inbound

Handling Korean Out-of-Vocabulary Words with Phoneme Representation Learning cites this paper.

Handling Korean Out-of-Vocabulary Words with Phoneme Representation Learning Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T20:01:16.381469Z

Source-reported events for the cited work

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Observation 04307c76-7f79-4f54-9813-63cc2ba1bb7a · inbound

MExplore: an entity-based visual analytics approach for medical expertise acquisition cites this paper.

MExplore: an entity-based visual analytics approach for medical expertise acquisition Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T16:51:21.531347Z

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Observation 67e0acb1-2013-46fb-b55b-f7f8ae9841db · inbound

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows cites this paper.

A Computational Approach to Modeling Conversational Systems: Analyzing Large-Scale Quasi-Patterned Dialogue Flows Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 8

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Observation c8887ae8-636e-445f-8786-0199c85ca75e · inbound

Skill-based Explanations for Serendipitous Course Recommendation cites this paper.

Skill-based Explanations for Serendipitous Course Recommendation Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T15:44:44.554428Z

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Observation 183e3b37-b647-4876-b6bf-265951bc65ed · inbound

QualityFM: a Multimodal Physiological Signal Foundation Model with Self-Distillation for Signal Quality Challenges in Critically Ill Patients cites this paper.

QualityFM: a Multimodal Physiological Signal Foundation Model with Self-Distillation for Signal Quality Challenges in Critically Ill Patients Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T23:33:57.572709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fb25966-b95e-4421-b5aa-6cab89076ab5 · inbound

GTS_Forecaster: a novel deep learning based geodetic time series forecasting toolbox with python cites this paper.

GTS_Forecaster: a novel deep learning based geodetic time series forecasting toolbox with python Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T20:50:44.981883Z

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Observation c6f59ee3-6b93-4252-981f-b081de1fdada · inbound

What Matters When Building Universal Multilingual Named Entity Recognition Models? cites this paper.

What Matters When Building Universal Multilingual Named Entity Recognition Models? Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-03T11:32:02.165238Z

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Observation 4584dcfb-b424-43e9-9430-a930148feb4c · inbound

Optimizing Chlorination in Water Distribution Systems via Surrogate-assisted Neuroevolution cites this paper.

Optimizing Chlorination in Water Distribution Systems via Surrogate-assisted Neuroevolution Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 18

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Source-reported events for the cited work

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Observation 893905c8-e142-4120-8639-fa0c310671d6 · inbound

PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories cites this paper.

PathCRF: Ball-Free Soccer Event Detection via Possession Path Inference from Player Trajectories Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T00:02:04.011835Z

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Observation 18e0cf25-2e95-4d95-b2af-963b24cec42a · inbound

Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset cites this paper.

Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 21

Resolution: verified exact; local_arxiv, observed 2026-05-15T21:16:38.179715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 305cb737-97eb-4c34-813f-2e62ec66f394 · inbound

Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset cites this paper.

Utility-Preserving De-Identification for Math Tutoring: Investigating Numeric Ambiguity in the MathEd-PII Benchmark Dataset Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-02T22:31:34.804180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4437dbf8-23f0-4214-8d77-55176e2cfdd6 · inbound

Uncertainty-Guided Label Rebalancing for CPS Safety Monitoring cites this paper.

Uncertainty-Guided Label Rebalancing for CPS Safety Monitoring Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 42

Resolution: unresolved; no resolver link, observed 2026-07-13T18:05:21.773745Z

Source-reported events for the cited work

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Observation a3340220-f078-48e4-814e-e354162e8aac · inbound

A Convolutional Neural Network-Derived Catalog of Solar Flares from Soft X-Ray Observations cites this paper.

A Convolutional Neural Network-Derived Catalog of Solar Flares from Soft X-Ray Observations Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 42

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T05:30:57.037980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1e66a5a1-ce23-43d7-8814-9a305927a6c3 · inbound

A Multi-modal Fusion Network for Star-Galaxy Classification from CSST Simulated Datasets cites this paper.

A Multi-modal Fusion Network for Star-Galaxy Classification from CSST Simulated Datasets Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T16:05:34.352338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8057b22c-a838-4800-9e96-e8fa1859113f · inbound

A Multi-head Attention Fusion Network for Industrial Prognostics under Discrete Operational Conditions cites this paper.

A Multi-head Attention Fusion Network for Industrial Prognostics under Discrete Operational Conditions Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:36:01.925239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a472bdb3-97f7-45b2-9774-a2508c14bc74 · inbound

Beyond the Basics: Leveraging Large Language Model for Fine-Grained Medical Entity Recognition cites this paper.

Beyond the Basics: Leveraging Large Language Model for Fine-Grained Medical Entity Recognition Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:56:47.608612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 23cd0a47-f518-4220-b849-54935b2a60fb · inbound

TabEmb: Joint Semantic-Structure Embedding for Table Annotation cites this paper.

TabEmb: Joint Semantic-Structure Embedding for Table Annotation Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 101

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T12:41:02.369613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7e3ecece-6678-4eb2-851c-c43fbea820ae · inbound

A Multimodal Text- and Graph-Based Approach for Open-Domain Event Extraction from Documents cites this paper.

A Multimodal Text- and Graph-Based Approach for Open-Domain Event Extraction from Documents Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 125

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T21:53:46.069960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 0e505e1b-83e4-42f2-9242-4ff20bfcdb89 · inbound

Automating Categorization of Scientific Texts with In-Context Learning and Prompt-Chaining in Large Language Models cites this paper.

Automating Categorization of Scientific Texts with In-Context Learning and Prompt-Chaining in Large Language Models Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 19

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T21:01:13.193351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 612d5b66-ac45-430a-a548-0e48a20bda63 · inbound

From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents cites this paper.

From Text to Voice: A Reproducible and Verifiable Framework for Evaluating Tool Calling LLM Agents Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 69

Resolution: verified exact; local_arxiv, observed 2026-05-21T08:49:53.748557Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e16abb13-dc7d-4e39-a817-86e2c7bf4425 · inbound

Pareto-Guided Teacher Alignment for Fair Personalized Text Generation cites this paper.

Pareto-Guided Teacher Alignment for Fair Personalized Text Generation Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 224

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T02:07:34.233634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation ae2c5e6b-04b3-482a-a3cb-b6c928e47424 · inbound

MindAlign: Decoding Inner Speech from fMRI Signals via Multimodal Embedding Alignment under Limited Data cites this paper.

MindAlign: Decoding Inner Speech from fMRI Signals via Multimodal Embedding Alignment under Limited Data Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 63

Resolution: metadata mismatch; local_arxiv, observed 2026-07-03T17:28:44.247878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c3393b8e-8575-4338-a52b-3eb62925b626 · inbound

Olfactory-Inspired Sparse Combinatorial Coding for Low-Resource Named Entity Recognition cites this paper.

Olfactory-Inspired Sparse Combinatorial Coding for Low-Resource Named Entity Recognition Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-07-04T07:59:39.866669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 1ca70e5f-5c96-4566-a75e-e270f99c9ed8 · inbound

DiffLens: A Visualization System to Explore Local Differences in Graph Sampling cites this paper.

DiffLens: A Visualization System to Explore Local Differences in Graph Sampling Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 51

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Unavailable: canonical work link unavailable.

Observation 3021d039-770c-4498-9170-1124965fe662 · inbound

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs cites this paper.

Evolution-Aware MSA Reasoning for Subsampling via Factor Graphs Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T05:12:50.370845Z

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Observation e2bb9425-8e87-41d6-96d7-a3d0dd935b5a · inbound

Open Your Model's Eyes: Video and Context-Aware Multimodal Backchannel Prediction cites this paper.

Open Your Model's Eyes: Video and Context-Aware Multimodal Backchannel Prediction Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T11:32:57.632404Z

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Unavailable: canonical work link unavailable.

Observation fdb14e8a-4190-4fc6-b159-6daf4f8aaede · inbound

Annotating Topical Legal Insights from Case Proceedings cites this paper.

Annotating Topical Legal Insights from Case Proceedings Bidirectional LSTM-CRF Models for Sequence Tagging

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T01:19:19.925204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.