Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2308.06610.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:39.495564Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-17T22:12:09.113308Z
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 64fb3250-5763-4428-958f-2e7be4bb5e83 · inbound
LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews cites this paper.
LGAR: Zero-Shot LLM-Guided Neural Ranking for Abstract Screening in Systematic Literature Reviews Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:35:39.495564Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1b67ee6c-dc85-440e-85a2-4ed86cc19b9b · inbound
LLM4SCREENLIT: Recommendations on Assessing the Performance of Large Language Models for Screening Literature in Systematic Reviews cites this paper.
LLM4SCREENLIT: Recommendations on Assessing the Performance of Large Language Models for Screening Literature in Systematic Reviews Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T22:12:09.115041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 25a57db6-0515-47b2-b2ab-2b45be304178 · inbound
Preliminary Guidelines for Using and Evaluating GenAI Tools to Support Systematic Literature Reviews cites this paper.
Preliminary Guidelines for Using and Evaluating GenAI Tools to Support Systematic Literature Reviews Bio-SIEVE: Exploring Instruction Tuning Large Language Models for Systematic Review Automation
Reference 81
- Resolution
- unresolved
- no resolver link, observed 2026-07-31T04:15:30.013537Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.