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Paper Citation Record · LEDGER

Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.01782.

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

pith.paper-citation-record.v1
2410.01782 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 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:18:44.481306Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T22:38:22.378221Z

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 3b02736f-ad64-4f45-9448-9412ecd0ec97 · inbound

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge cites this paper.

MINTQA: A Multi-Hop Question Answering Benchmark for Evaluating LLMs on New and Tail Knowledge Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-11T05:55:14.679583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T05:55:14.679583Z digest=sha256:154e1db02e1761e4a622f37f8142060ab02d0b2eb261dc1e78fcc4d664d29fe7

Observation 9e61e3d4-29d1-4553-93bc-223b17471795 · inbound

Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools cites this paper.

Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic Tools Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T22:03:46.373373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:03:46.373373Z digest=sha256:ccb340f7f87b677a36360b5e6051a2ba93d8d7d02c2e13591e572dee32a725cd

Observation 0d56758b-ddfa-4413-8361-a686315f2368 · inbound

Synergizing RAG and Reasoning: A Systematic Review cites this paper.

Synergizing RAG and Reasoning: A Systematic Review Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-16T11:18:44.481306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:18:44.481306Z digest=sha256:83b49e5d139afb82c7fc829cd95b58d2cfe7cf29c57b35a2f88070fad2ffb65f

Observation bcae6879-72d0-49bf-b98c-620b10bf7d99 · inbound

Deep Research Agents: A Systematic Examination And Roadmap cites this paper.

Deep Research Agents: A Systematic Examination And Roadmap Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T23:26:56.678755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:26:56.678755Z digest=sha256:330f094f68cd74d1806d15885205b4e8f771bfc10a51eea8f61fa5b3a03d8b81

Observation 35e66fc6-1b49-4080-8e2e-d6aeabb9634b · inbound

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems cites this paper.

Do We Still Need GraphRAG? Benchmarking RAG and GraphRAG for Agentic Search Systems Open-RAG: Enhanced Retrieval-Augmented Reasoning with Open-Source Large Language Models

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-13T22:38:22.379602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T22:35:18.954951Z digest=sha256:8eed0e3c332a3176358013175512ab7cca97025ee306a72f02fc580e203ae18e