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Paper Citation Record · LEDGER

A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2412.05838.

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

pith.paper-citation-record.v1
2412.05838 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:05:22.418138Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:22:25.498942Z

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 73b2f471-5569-4f38-b97c-c2fdd843f653 · inbound

Efficient Federated Search for Retrieval-Augmented Generation using Lightweight Routing cites this paper.

Efficient Federated Search for Retrieval-Augmented Generation using Lightweight Routing A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:22:25.501553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T02:17:50.474681Z digest=sha256:188b9c3e90fdd6a2c79a819d7758e71a911a3c980f8c210dffee0e9aef732016

Observation 4a132835-b69d-4dac-a6b5-9c45fea67eee · inbound

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context cites this paper.

From Virtual Agents to Robot Teams: A Multi-Robot Framework Evaluation in High-Stakes Healthcare Context A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T11:05:22.418138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:05:22.418138Z digest=sha256:13f0b08e656ecc8ebd675798791e934dfcbbdef28dc1841bbaa9c2901e1eb9d7

Observation fd6483d5-416b-43d7-b944-25289f8aa1c5 · inbound

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges cites this paper.

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data

Reference 198

Resolution
unresolved
no resolver link, observed 2026-08-06T15:06:48.593700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:06:48.593700Z digest=sha256:0e38fb326f1a805cd97a3f37d020008e46f6f6b3828e253f97d4cdc5565d248c

Observation 82f22585-d3f3-47e9-94aa-1c3350cfa648 · inbound

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation cites this paper.

ALDEN: Boosting Private Data Extraction from Retrieval-Augmented Generation Systems via Active Learning and Distribution Estimation A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data

Reference 99

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T10:04:58.834622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-21T10:04:45.173272Z digest=sha256:96322dae053d694e58d3b0105878d0eec7dc8a8fc934b4ec564643587adf5dde

Observation d87f0e11-b83e-44f5-a00a-a0de3cc06362 · inbound

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG cites this paper.

Towards Trustworthy and Cost-Efficient Data Integration: From Na\"ive RAG to Agentic RAG A Collaborative Multi-Agent Approach to Retrieval-Augmented Generation Across Diverse Data

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-01T05:10:28.987923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:10:28.987923Z digest=sha256:58b9a00fc318dea6538441a31db2de09fc5b17e32321c266270f1f8b7d10e1ca