Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T11:31:19.498041Z
Paper Citation Record · LEDGER
Leveraging Natural Language Processing to Unravel the Mystery of Life: A Review of NLP Approaches in Genomics, Transcriptomics, and Proteomics
As of 20 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2506.02212.
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
7 of 7 outbound references displayed
- verified exact1
- verified fuzzy0
- unresolved6
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 736a175f-0b37-4045-a2db-461a30a9244c · outbound
This paper cites an unresolved cited work.
Leveraging Natural Language Processing to Unravel the Mystery of Life: A Review of NLP Approaches in Genomics, Transcriptomics, and Proteomics Unresolved cited work
Reference 4
- Resolution
- verified exact
- raw_fallback, observed 2026-08-07T11:31:19.897558Z
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 d72606d8-f719-4b34-8f87-030383e8a8b6 · outbound
This paper cites DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome.
Leveraging Natural Language Processing to Unravel the Mystery of Life: A Review of NLP Approaches in Genomics, Transcriptomics, and Proteomics DNABERT-2: Efficient Foundation Model and Benchmark For Multi-Species Genome
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:31:19.045431Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 76ef0738-03e3-4fa6-9459-d85218a7e135 · outbound
This paper cites & Mofrad, M.
Reference 51
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:31:19.126974Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4bad0bda-deb5-4933-8ff7-ab54f04f5995 · outbound
This paper cites DNABERT-S: Pioneering Species Differentiation with Species-Aware DNA Embeddings.
Leveraging Natural Language Processing to Unravel the Mystery of Life: A Review of NLP Approaches in Genomics, Transcriptomics, and Proteomics DNABERT-S: Pioneering Species Differentiation with Species-Aware DNA Embeddings
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:31:19.202445Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9c2981e9-6adf-472c-b832-c595c46dd1b1 · outbound
This paper cites RITA: a Study on Scaling Up Generative Protein Sequence Models.
Leveraging Natural Language Processing to Unravel the Mystery of Life: A Review of NLP Approaches in Genomics, Transcriptomics, and Proteomics RITA: a Study on Scaling Up Generative Protein Sequence Models
Reference 93
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:31:19.279026Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4f9338bd-2ed0-4dc9-80f7-327d3af7de25 · outbound
This paper cites ProGen: Language Modeling for Protein Generation.
Leveraging Natural Language Processing to Unravel the Mystery of Life: A Review of NLP Approaches in Genomics, Transcriptomics, and Proteomics ProGen: Language Modeling for Protein Generation
Reference 117
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:31:19.347410Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 941d9d6a-59e7-46ab-85df-9e9c16dbdcd0 · outbound
This paper cites Longformer: The Long-Document Transformer.
Leveraging Natural Language Processing to Unravel the Mystery of Life: A Review of NLP Approaches in Genomics, Transcriptomics, and Proteomics Longformer: The Long-Document Transformer
Reference 139
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:31:19.498041Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
No inbound Pith citation observations are available.