Paper Citation Record · LEDGER

Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2407.01796.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2407.01796 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:51:30.342348Z

measured 0 of 1 external citation measurements

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 2026-08-20T06:33:59.587034+00:00.

Observation 765f1366-fbc5-464d-9c1d-7115988384ae · inbound

EnronQA: Towards Personalized RAG over Private Documents cites this paper.

EnronQA: Towards Personalized RAG over Private Documents Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-16T04:51:30.342348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 a04fdde5-c4fe-417b-94fc-dbdb9222f47f · inbound

Geometric Metrics and LLMs: What They Measure and When They Work cites this paper.

Geometric Metrics and LLMs: What They Measure and When They Work Ground Every Sentence: Improving Retrieval-Augmented LLMs with Interleaved Reference-Claim Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T15:47:42.917073Z

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 2026-08-20T06:33:59.587034+00:00.