Paper Citation Record · LEDGER

Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.14891.

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

pith.paper-citation-record.v1
2406.14891 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:05:17.020611Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-06T14:47:45.710190Z

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 27ca1651-e090-489c-bab4-27216c6b16bf · inbound

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers cites this paper.

Iterative Self-Incentivization Empowers Large Language Models as Agentic Searchers Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T14:05:17.020611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49618552-7df7-4da5-b9c0-cc8ff8075ba9 · inbound

DeepShop: A Benchmark for Deep Research Shopping Agents cites this paper.

DeepShop: A Benchmark for Deep Research Shopping Agents Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T11:19:01.519338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 641e98eb-1bb6-4e78-98e8-179f1ce875fd · inbound

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models cites this paper.

A Query-Aware Multi-Path Knowledge Graph Fusion Approach for Enhancing Retrieval-Augmented Generation in Large Language Models Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T19:48:41.985514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation daecb82a-7446-4515-b61e-e9878b6cbc63 · inbound

PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation cites this paper.

PRGB Benchmark: A Robust Placeholder-Assisted Algorithm for Benchmarking Retrieval-Augmented Generation Generate-then-Ground in Retrieval-Augmented Generation for Multi-hop Question Answering

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-06T14:47:45.714802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.