Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Revisiting Large Language Models as Zero-shot Relation Extractors
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.05028.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T13:21:19.586236Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T09:56:04.423133Z
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 de0020d1-3bd6-4cf7-8a3d-535e121a91a9 · inbound
Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO cites this paper.
Beyond path selection: Better LLMs for Scientific Information Extraction with MimicSFT and Relevance and Rule-induced(R$^2$)GRPO Revisiting Large Language Models as Zero-shot Relation Extractors
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T13:21:19.586236Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4eb078c7-4f3e-47ca-b29b-83ed5a14c89f · inbound
What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale cites this paper.
What's on My Network? Using Large Language Models to Identify Real-World IoT Devices at Scale Revisiting Large Language Models as Zero-shot Relation Extractors
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T15:25:34.781659Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dbe5161c-3353-4ae4-873a-1f96109d416d · inbound
MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning cites this paper.
MicLog: Towards Accurate and Efficient LLM-based Log Parsing via Progressive Meta In-Context Learning Revisiting Large Language Models as Zero-shot Relation Extractors
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T11:17:08.456987Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d12be776-96ef-4b09-a240-bb5c9ff97fea · inbound
Relational Probing: LM-to-Graph Adaptation for Financial Prediction cites this paper.
Relational Probing: LM-to-Graph Adaptation for Financial Prediction Revisiting Large Language Models as Zero-shot Relation Extractors
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T09:56:04.427025Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2507355b-f7a0-4fd9-b75f-69e4079c4430 · inbound
LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction cites this paper.
LA-RL: Label-Aware Self-Reflection for Reinforcement Learning in Information Extraction Revisiting Large Language Models as Zero-shot Relation Extractors
Reference 176
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T22:49:43.497627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.