Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:04:25.436032Z
Paper Citation Record · LEDGER
Ankh3: Multi-Task Pretraining with Sequence Denoising and Completion Enhances Protein Representations
As of 8 August 2026, this Paper Citation Record lists 2 of 2 outbound references and 1 inbound Pith citation observation for arXiv:2505.20052.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-15T11:45:30.055749Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-15T11:45:32.707284Z
Reference resolution
2 of 2 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ffd414a0-8ead-4d1d-a91e-a1b4767f0286 · outbound
This paper cites Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling.
Ankh3: Multi-Task Pretraining with Sequence Denoising and Completion Enhances Protein Representations Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:04:25.361729Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 00413c1b-bfe0-4fda-8614-38ff98e57f7b · outbound
This paper cites ProGen: Language Modeling for Protein Generation.
Ankh3: Multi-Task Pretraining with Sequence Denoising and Completion Enhances Protein Representations ProGen: Language Modeling for Protein Generation
Reference 9856
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:04:25.436032Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 252b6422-c577-4493-ace2-0a338feeac3b · inbound
Multimodal Protein Language Models for Enzyme Kinetic Parameters: From Substrate Recognition to Conformational Adaptation cites this paper.
Multimodal Protein Language Models for Enzyme Kinetic Parameters: From Substrate Recognition to Conformational Adaptation Ankh3: Multi-Task Pretraining with Sequence Denoising and Completion Enhances Protein Representations
Reference 71
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T11:45:32.710433Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.