Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization
As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2405.06683.
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 2026-08-11T06:34:44.6726+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T22:32:17.716695Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-24T02:15:55.436472Z
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 b3715c46-8f15-4306-b3c4-1060f22bfdc7 · inbound
A Survey on Retrieval-Augmented Text Generation for Large Language Models cites this paper.
A Survey on Retrieval-Augmented Text Generation for Large Language Models ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization
Reference 127
- Resolution
- verified exact
- arxiv_id, observed 2026-05-24T02:15:55.438792Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation bf24110f-a3b3-49ac-a790-f33c68a93423 · inbound
A Survey on Foundation Models for Personalized Federated Intelligence cites this paper.
A Survey on Foundation Models for Personalized Federated Intelligence ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization
Reference 134
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T15:34:57.626858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.
Observation 97fa33d6-7766-4798-9de7-ee1a62162705 · inbound
MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models cites this paper.
MEGG: Replay via Maximally Extreme GGscore in Incremental Learning for Neural Recommendation Models ERAGent: Enhancing Retrieval-Augmented Language Models with Improved Accuracy, Efficiency, and Personalization
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T22:32:17.716695Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.