Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:25:30.089599Z
Paper Citation Record · LEDGER
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences
As of 20 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2412.05776.
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 2026-08-20T06:33:59.587034+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
41 of 41 outbound references displayed
- verified exact0
- verified fuzzy36
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation cce248fd-a25c-4c2c-b226-a4d60ac80973 · outbound
This paper cites UniProt: a worldwide hub of protein knowledge.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences UniProt: a worldwide hub of protein knowledge
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:31.026288Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 34f2175e-bb7f-4767-ace8-30daed878f89 · outbound
This paper cites Basic local alignment search tool.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Basic local alignment search tool
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:31.005613Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 33e61b18-6fb9-4a06-ac9a-ce96cf5354c3 · outbound
This paper cites Hidden markov models in computational biology.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Hidden markov models in computational biology
Reference 3
- Resolution
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- raw_fallback, observed 2026-08-11T20:25:30.983926Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 477f1ef8-aab6-4bdf-9699-862dd691fe6d · outbound
This paper cites Profile hidden Markov models.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Profile hidden Markov models
Reference 4
- Resolution
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- raw_fallback, observed 2026-08-11T20:25:30.964301Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a86cf75e-1b00-4de6-8cab-4a0cf1e0fa15 · outbound
This paper cites The InterPro protein families and domains database: 20 years on.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences The InterPro protein families and domains database: 20 years on
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.944395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 424f36d9-55d0-419b-95de-4eb81514e0e0 · outbound
This paper cites The Pfam protein families database in 2019.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences The Pfam protein families database in 2019
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.927302Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 22628a0c-ea13-48ab-afab-c2aae6d80680 · outbound
This paper cites Khoshgoftaar, and DingDing Wang.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Khoshgoftaar, and DingDing Wang
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.910973Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 227247a3-0768-4639-aace-58f2a7306909 · outbound
This paper cites DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences DeepGO: predicting protein functions from sequence and interactions using a deep ontology-aware classifier
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.893533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b6401b8f-d934-474e-997b-a954b0ed3c61 · outbound
This paper cites Ecpred: a tool for the prediction of the enzymatic functions of protein sequences based on the ec nomenclature.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Ecpred: a tool for the prediction of the enzymatic functions of protein sequences based on the ec nomenclature
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.876022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5ef95674-4793-4dc3-adef-13d4966bf2af · outbound
This paper cites ProLanGO: Protein function prediction using neural machine translation based on a recurrent neural network.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences ProLanGO: Protein function prediction using neural machine translation based on a recurrent neural network
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.859104Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bd3e7ae8-f10d-404a-a4d1-6dc4c0a13d6e · outbound
This paper cites DeepLoc: prediction of protein subcellular localization using deep learning.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences DeepLoc: prediction of protein subcellular localization using deep learning
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.836702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8403bfda-3615-4af9-8cf9-7ea096392f38 · outbound
This paper cites Deep semantic protein representation for annotation, discovery, and engineering.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Deep semantic protein representation for annotation, discovery, and engineering
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.816991Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation a7199c18-009a-482b-86e4-02525b1d2857 · outbound
This paper cites Deepred: Automated protein function prediction with multi-task feed-forward deep neural networks.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Deepred: Automated protein function prediction with multi-task feed-forward deep neural networks
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.797142Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 23ec5f0c-541b-439a-a6e6-c66269f5ac07 · outbound
This paper cites DEEPre: sequence-based enzyme EC number prediction by deep learning.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences DEEPre: sequence-based enzyme EC number prediction by deep learning
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.775540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9084893a-a833-4549-b229-a351a32a5632 · outbound
This paper cites DeepSF: deep convolutional neural network for mapping protein sequences to folds.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences DeepSF: deep convolutional neural network for mapping protein sequences to folds
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.751546Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ab80ad71-ef85-42e5-85db-14fd1303ee65 · outbound
This paper cites HECNet: a hierarchical approach to enzyme function classification using a Siamese Triplet Network.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences HECNet: a hierarchical approach to enzyme function classification using a Siamese Triplet Network
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.732167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 2fad572a-11b3-4375-b313-c7c484fa39e6 · outbound
This paper cites A hierarchical deep learning based approach for multi-functional enzyme classification.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences A hierarchical deep learning based approach for multi-functional enzyme classification
Reference 17
- Resolution
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- raw_fallback, observed 2026-08-11T20:25:30.700004Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c722455f-d190-4663-ace0-715f74803d78 · outbound
This paper cites Natália D.
Reference 18
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- raw_fallback, observed 2026-08-11T20:25:30.672448Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation b64bf35c-f2c9-429f-9bbd-7524120f94f8 · outbound
This paper cites mldeepre: Multi-functional enzyme function prediction with hierarchical multi-label deep learning.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences mldeepre: Multi-functional enzyme function prediction with hierarchical multi-label deep learning
Reference 19
- Resolution
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- raw_fallback, observed 2026-08-11T20:25:30.651947Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e9522881-02a4-4d01-b3c8-14d8856de509 · outbound
This paper cites End-to-end differentiable learning of protein structure.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences End-to-end differentiable learning of protein structure
Reference 20
- Resolution
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- raw_fallback, observed 2026-08-11T20:25:30.633031Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 53692fee-6008-4a40-b815-f3094d171f78 · outbound
This paper cites Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Žídek, Alexander W.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Senior, Richard Evans, John Jumper, James Kirkpatrick, Laurent Sifre, Tim Green, Chongli Qin, Augustin Žídek, Alexander W
Reference 21
- Resolution
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- raw_fallback, observed 2026-08-11T20:25:30.608976Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation aaf15775-ecf4-44db-b4d3-a294af1fe894 · outbound
This paper cites Msa transformer.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Msa transformer
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.578558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation adf95251-e046-4b47-add7-be93f3320ad6 · outbound
This paper cites Energy-based models for atomic-resolution protein conformations.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Energy-based models for atomic-resolution protein conformations
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:25:29.931587Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1f9d35b3-cdf4-4e1c-9bb9-444180c91283 · outbound
This paper cites Improved protein structure prediction using predicted interresidue orientations.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Improved protein structure prediction using predicted interresidue orientations
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:25:29.937925Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8cdefc71-6a31-4209-8c0e-7d1dc5fd2430 · outbound
This paper cites Alley, Kevin M.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Alley, Kevin M
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.536265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 55883336-34f7-40e4-83be-141b2cf77c12 · outbound
This paper cites Eguchi, Po-Ssu Huang, and Richard Socher.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Eguchi, Po-Ssu Huang, and Richard Socher
Reference 26
- Resolution
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- raw_fallback, observed 2026-08-11T20:25:30.511468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation ed0d517a-b041-4f53-aaed-c2ccb21bbb18 · outbound
This paper cites Pellock, Tamuka M.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Pellock, Tamuka M
Reference 27
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- raw_fallback, observed 2026-08-11T20:25:30.491248Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 53e707f5-437a-43e9-b644-a12d6181276c · outbound
This paper cites Yang, Zachary Wu, and Frances H.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Yang, Zachary Wu, and Frances H
Reference 28
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- raw_fallback, observed 2026-08-11T20:25:30.461905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5a27a5c2-a0d6-4f29-a4ad-8fe0d934af77 · outbound
This paper cites Machine learning in enzyme engineering.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Machine learning in enzyme engineering
Reference 29
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- raw_fallback, observed 2026-08-11T20:25:30.437654Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 09443e9b-85d6-447f-80de-836c5b9cd061 · outbound
This paper cites Deep learning enables high-quality and high-throughput prediction of enzyme commission numbers.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Deep learning enables high-quality and high-throughput prediction of enzyme commission numbers
Reference 30
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- raw_fallback, observed 2026-08-11T20:25:30.417050Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 649000c0-b59e-4a66-ac6e-5a8ea6a8fbd2 · outbound
This paper cites Bileschi, David Belanger, Drew H.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Bileschi, David Belanger, Drew H
Reference 31
- Resolution
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- raw_fallback, observed 2026-08-11T20:25:30.397726Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 0cc56d59-5f6a-4f61-9740-038c437ac07d · outbound
This paper cites Bileschi, David Belanger, and Lucy Colwell.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Bileschi, David Belanger, and Lucy Colwell
Reference 32
- Resolution
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- raw_fallback, observed 2026-08-11T20:25:30.379762Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 124068e3-d4af-432d-9693-0ac79635dd3f · outbound
This paper cites ProtTrans: Toward understanding the language of life through self-supervised learning.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences ProtTrans: Toward understanding the language of life through self-supervised learning
Reference 33
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- raw_fallback, observed 2026-08-11T20:25:30.346052Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3d4f4fcf-7c64-4dad-9a29-f0f1d602965c · outbound
This paper cites ProteinBERT: a universal deep- learning model of protein sequence and function.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences ProteinBERT: a universal deep- learning model of protein sequence and function
Reference 34
- Resolution
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- raw_fallback, observed 2026-08-11T20:25:30.326316Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 7427a44b-bd08-4b18-abb8-cc63e0beb658 · outbound
This paper cites Bileschi, David Belanger, and Lucy J.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Bileschi, David Belanger, and Lucy J
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.306757Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3b1e9cc7-36dd-4164-a83d-99b45415c1de · outbound
This paper cites Protec: A transformer based deep learning system for accurate annotation of enzyme commission numbers.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Protec: A transformer based deep learning system for accurate annotation of enzyme commission numbers
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.286245Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 22a13f91-5d12-4f3f-b33c-7e6f7aba1b71 · outbound
This paper cites UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences UniRef clusters: a comprehensive and scalable alternative for improving sequence similarity searches
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.267057Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8bf1e1c7-0a26-4871-a1eb-fda16c623456 · outbound
This paper cites HuggingFace's Transformers: State-of-the-art Natural Language Processing.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences HuggingFace's Transformers: State-of-the-art Natural Language Processing
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:25:30.060826Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f08d268c-ae59-4721-b0d5-5c1a11ba7e5b · outbound
This paper cites Pretrained Transformers as Universal Computation Engines.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Pretrained Transformers as Universal Computation Engines
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:25:30.076090Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 730f59a4-b706-4a1e-9b9e-0c9457ccb3f9 · outbound
This paper cites Ampdeep: hemolytic activity prediction of antimicrobial peptides using transfer learning.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Ampdeep: hemolytic activity prediction of antimicrobial peptides using transfer learning
Reference 40
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- verified fuzzy
- raw_fallback, observed 2026-08-11T20:25:30.246885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9c71ec0c-0f9f-41bb-ae92-45cb4ed8a43e · outbound
This paper cites an unresolved cited work.
ProtGO: A Transformer based Fusion Model for accurately predicting Gene Ontology (GO) Terms from full scale Protein Sequences Unresolved cited work
Reference 2021
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- unresolved
- no resolver link, observed 2026-08-11T20:25:30.019447Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.