Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-12T14:25:02.905354Z
Paper Citation Record · LEDGER
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering
As of 12 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2411.15372.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
50 of 50 outbound references displayed
- verified exact5
- verified fuzzy1
- unresolved44
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 079212d1-5111-473f-82d9-147d39682164 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.624406Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06076912-cf4f-4ff4-9d1e-a6e6d9311e23 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 2
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:25:04.372592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 3f3e040f-3621-41bb-b55c-0942fcf21bdd · outbound
This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Neural Machine Translation by Jointly Learning to Align and Translate
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.636890Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3f0da25-b2c9-4fd9-80e9-25340c44409f · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 4
- Resolution
- verified exact
- doi, observed 2026-08-12T14:25:03.075853Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 30adb63f-e928-4474-ba91-c55640681e76 · outbound
This paper cites Longformer: The Long-Document Transformer.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Longformer: The Long-Document Transformer
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.650584Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e179ee2-a264-4085-b614-15cfdf6fbd39 · outbound
This paper cites A Simple and Effective Positional Encoding for Transformers.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering A Simple and Effective Positional Encoding for Transformers
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.656219Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b52037a5-f5a9-4900-8c95-5df816d23b65 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.662836Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ba7fe4a9-2564-4457-ab19-8aa9f49ee926 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.669046Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7ecb2ec4-522c-49d4-8e0b-2670af8a73d9 · outbound
This paper cites Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.674215Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6ee81a59-e6bd-406f-817a-8c5544fa2d56 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 10
- Resolution
- verified exact
- doi, observed 2026-08-12T14:25:03.041475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6dcf3c03-41d8-4085-a89e-910c6ea9048f · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.684791Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d0a4210e-d3b3-470b-a0e2-a5d264e6c630 · outbound
This paper cites Enhancing Transformer RNNs with Multiple Temporal Perspectives.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Enhancing Transformer RNNs with Multiple Temporal Perspectives
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.689922Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7a14a559-560d-4318-9b0f-fa97b9fe1b01 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 13
- Resolution
- verified exact
- raw_fallback, observed 2026-08-12T14:25:03.985310Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 7a10802e-044a-4aff-8360-d590da0cca0a · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 14
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:25:04.343475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation a1734fcb-6e6b-4fb1-8e36-27580e3a723b · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 15
- Resolution
- verified exact
- doi, observed 2026-08-12T14:25:03.017164Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 70b35772-b912-44d9-a900-730a534a2602 · outbound
This paper cites Sequence Transduction with Recurrent Neural Networks.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Sequence Transduction with Recurrent Neural Networks
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.710245Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3ad5091-e783-47db-b7f8-18fa5018387e · outbound
This paper cites Gomez, and J¨urgen Schmidhuber.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Gomez, and J¨urgen Schmidhuber
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-12T14:25:04.324296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation ff6c4bc1-92dd-475b-becd-f977cb7cbf8e · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 18
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:25:04.305732Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 4b1da634-d8ce-472c-a22b-87bab9ca3e72 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 19
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:25:04.286263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation badd3ee9-56b1-40ae-8851-d1e1c3c20f38 · outbound
This paper cites Transformer Language Models without Positional Encodings Still Learn Positional Information.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Transformer Language Models without Positional Encodings Still Learn Positional Information
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.732069Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2fd16278-7892-43d0-b2e7-d35e93557c6a · outbound
This paper cites Large Language Models for Expansion of Spoken Language Understanding Systems to New Languages.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Large Language Models for Expansion of Spoken Language Understanding Systems to New Languages
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.737839Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08b840cc-e689-48c9-a6dd-1d0e4823aff9 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.743847Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 06e913af-e016-43c2-973e-22bf1d5250cb · outbound
This paper cites Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.749933Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72d5125c-409d-4591-8014-80f55ac07155 · outbound
This paper cites ChunkFormer: Learning Long Time Series with Multi-stage Chunked Transformer.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering ChunkFormer: Learning Long Time Series with Multi-stage Chunked Transformer
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.755728Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f40d93b-31ad-40c3-a77c-a292af47b7f7 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 25
- Resolution
- verified exact
- doi, observed 2026-08-12T14:25:02.992424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 117f8556-d1de-4a90-a05b-d20412983936 · outbound
This paper cites BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.767726Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5c5d4859-2a1c-4024-8cff-2570f840b559 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.773602Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4ba42b1e-8988-49aa-a7ca-8bdaf4c42b00 · outbound
This paper cites Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.779354Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3e86a310-ce62-4962-95cc-b5f0cce17fd4 · outbound
This paper cites Multilingual Denoising Pre-training for Neural Machine Translation.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Multilingual Denoising Pre-training for Neural Machine Translation
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.785206Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7737f6ff-6952-49a5-ab40-f31e6e58c51b · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 30
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:25:04.249894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 22b9c92f-8b45-4ead-b04c-d867969c3130 · outbound
This paper cites Effective Approaches to Attention-based Neural Machine Translation.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Effective Approaches to Attention-based Neural Machine Translation
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.796408Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e3d08162-ba4d-4f0c-9e0b-a0dc33265d0a · outbound
This paper cites Token Pooling in Vision Transformers.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Token Pooling in Vision Transformers
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.801897Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9737f12d-5602-4cbd-9020-157922f234ff · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 33
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:25:04.230195Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 57459e20-6609-40bf-88ef-7155df84d349 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.813311Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9cc6fa0e-f4aa-41d4-bc9f-e371d852aed7 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 35
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:25:04.210151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation bc837e74-ac52-47d0-89c9-8b146056ea37 · outbound
This paper cites Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.824727Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e069d320-b1d7-4e75-8b8f-e2c518b09387 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.830010Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efb7a375-c3c0-4d5a-ba82-62652531ffc2 · outbound
This paper cites Phonetic Word Embeddings.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Phonetic Word Embeddings
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.835452Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a80a5e92-0dd8-4ac4-a10c-dbfeb3bdf154 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.841594Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e9137352-0eef-4352-89ca-188daa8bef66 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.847070Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 80d490af-f05c-4fa6-973c-82be98097fb1 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:25:04.162159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 53c87907-6c67-45ec-8695-a11c094de8e1 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.858541Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15c66090-889f-4f71-aa48-9540c40dd0c5 · outbound
This paper cites Lite Transformer with Long-Short Range Attention.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Lite Transformer with Long-Short Range Attention
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.864324Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f7e0b12a-ccdc-4df8-b62b-571e68c4542d · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.869699Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 50ca511a-7344-4c1c-9f7b-91f4654ffccb · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-08-12T14:25:04.143731Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 37db7a2c-185d-4e52-bcf5-41c1c8a3b740 · outbound
This paper cites an unresolved cited work.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Unresolved cited work
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.881836Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ced33a4e-2f05-48cf-a092-b4fbf0a68348 · outbound
This paper cites Recurrent Neural Network Regularization.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Recurrent Neural Network Regularization
Reference 47
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.887401Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ce2586a6-7d1e-47f1-839e-60f0d5b3730a · outbound
This paper cites Are Transformers Effective for Time Series Forecasting?.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering Are Transformers Effective for Time Series Forecasting?
Reference 48
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.892730Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af233a03-a908-4e5e-b9ea-b08c12ff6f90 · outbound
This paper cites URL: " 'urlintro :=.
Transforming NLU with Babylon: A Case Study in Development of Real-time, Edge-Efficient, Multi-Intent Translation System for Automated Drive-Thru Ordering URL: " 'urlintro :=
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.899281Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d13b50fe-877c-4a76-a79f-48a961f6c547 · outbound
This paper cites write newline.
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T14:25:02.905354Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.