Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
LLMs4Life: Large Language Models for Ontology Learning in Life Sciences
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.02035.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T15:51:17.954145Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T17:05:51.126467Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation b29cfa2f-4fb2-41a9-93f2-d825f96afff3 · inbound
Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies) cites this paper.
Heterogeneous LLM Methods for Ontology Learning (Few-Shot Prompting, Ensemble Typing, and Attention-Based Taxonomies) LLMs4Life: Large Language Models for Ontology Learning in Life Sciences
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T15:51:17.954145Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48336001-9c69-4ef5-8dd3-2687e922e606 · inbound
Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study cites this paper.
Leveraging Large Language Models for Generating Research Topic Ontologies: A Multi-Disciplinary Study LLMs4Life: Large Language Models for Ontology Learning in Life Sciences
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T14:57:56.420197Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f03d0f2c-e20d-4eb1-b09c-d7f89176bf05 · inbound
JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications cites this paper.
JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications LLMs4Life: Large Language Models for Ontology Learning in Life Sciences
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T17:05:51.127844Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 576a622c-92f6-46de-b1bb-3c940a746958 · inbound
JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications cites this paper.
JD Oxygen AI Item Center (Oxygen AIIC) V1: An Industrial-Scale LLM/VLM-Centric Solution for Item Understanding, Management, and Applications LLMs4Life: Large Language Models for Ontology Learning in Life Sciences
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T09:44:37.226956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c82b5949-a76e-4bcb-87b2-421df3eb035e · inbound
Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field cites this paper.
Benchmarking Resource-Efficient LLMs for Research Topic Ontology Generation in the Biomedical Field LLMs4Life: Large Language Models for Ontology Learning in Life Sciences
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T16:41:45.194592Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.