Paper Citation Record · LEDGER

RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2506.16988.

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

pith.paper-citation-record.v1
2506.16988 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 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:39:54.695229Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f8dec7b3-c51e-466a-9359-6256a8d2e416 · inbound

SIGIR 2025 -- LiveRAG Challenge Report cites this paper.

SIGIR 2025 -- LiveRAG Challenge Report RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T19:39:54.695229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7701b4b7-3bb0-4070-8cfb-b1a522d750dd · inbound

Query Symbolically or Retrieve Semantically? A Dataset and Method for Semi-Structured Question Answering cites this paper.

Query Symbolically or Retrieve Semantically? A Dataset and Method for Semi-Structured Question Answering RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:13:44.996367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation cd9a19d4-0fad-4226-9f56-da58761442aa · inbound

When Latent Agents Lie: KV-Cache Integrity in Multi-Agent LLM Collaboration cites this paper.

When Latent Agents Lie: KV-Cache Integrity in Multi-Agent LLM Collaboration RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:34:27.129851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 035a4e12-4144-40ac-b4b1-c7235434289a · inbound

Claim2Source at CheckThat! 2026: Improving Multilingual Scientific Claim-Source Retrieval with Verification-based Re-Ranking cites this paper.

Claim2Source at CheckThat! 2026: Improving Multilingual Scientific Claim-Source Retrieval with Verification-based Re-Ranking RAGentA: Multi-Agent Retrieval-Augmented Generation for Attributed Question Answering

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-11T22:05:25.122740Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.