Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2407.01796.
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 2026-08-07T15:06:01.290122Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T21:08:25.865161Z
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 64d7c085-fb78-49d5-8dd3-03dd56d3e4a3 · inbound
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey cites this paper.
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T21:08:25.867925Z
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 aa2c4216-658b-4fe3-a05e-9c8c72636e4d · inbound
Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems cites this paper.
Chain-of-Thought Poisoning Attacks against R1-based Retrieval-Augmented Generation Systems Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:06:01.290122Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation cb7398e4-ad57-4350-9d0a-c8dbbc38170f · inbound
The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems cites this paper.
The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation
Reference 43
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:36:35.227545Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9a973654-1c0c-499d-bdfe-82e746fde4a2 · inbound
Lessons from Training Grounded LLMs with Verifiable Rewards cites this paper.
Lessons from Training Grounded LLMs with Verifiable Rewards Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:59:49.203531Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2fb84250-6132-4444-be41-72cbe1738d26 · inbound
AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning cites this paper.
AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:56:03.780553Z
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.