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Paper Citation Record · LEDGER

AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.20878.

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

pith.paper-citation-record.v1
2410.20878 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:07:24.023735Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T00:19:16.455727Z

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 d438fa96-f3cf-4e2c-becc-b0f2cbdc0d47 · inbound

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation cites this paper.

Rankify: A Comprehensive Python Toolkit for Retrieval, Re-Ranking, and Retrieval-Augmented Generation AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-09T12:07:24.023735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:07:24.023735Z digest=sha256:4084810e6da3fa0b1f0b81869cbc5c5ff230d6366ac73577467d2ec6f6d59072

Observation c3aeb3fb-066d-427d-9187-44d9b714bb57 · inbound

Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization cites this paper.

Single LLM, Multiple Roles: A Unified Retrieval-Augmented Generation Framework Using Role-Specific Token Optimization AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T15:21:25.260175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:21:25.260175Z digest=sha256:2207c677cb03b097e15e267818734ca717102fa2628ae85d71f39024bd8c599a

Observation 61c3062b-c2b5-490a-aa2a-b1b49ca619e3 · inbound

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation cites this paper.

FlexRAG: A Flexible and Comprehensive Framework for Retrieval-Augmented Generation AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T00:51:21.127378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:51:21.127378Z digest=sha256:221273f8a9df7535a2940a47af5addb0134fffbdaf7a60968e4ebfc30da5a36c

Observation 02d17c8d-3033-463b-b528-e4b89d6613cb · inbound

VulRTex: A Reasoning-Guided Approach to Identify Vulnerabilities from Rich-Text Issue Report cites this paper.

VulRTex: A Reasoning-Guided Approach to Identify Vulnerabilities from Rich-Text Issue Report AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T10:40:24.635985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:40:24.635985Z digest=sha256:b9f504741b796afe6b108f90d6a732b1e91b3b22e8031967bb6c65eaaf3a37a6

Observation d56a856e-06b6-4210-bcce-daecea82a907 · inbound

LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.

LLM-Oriented Information Retrieval: A Denoising-First Perspective AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-05-11T16:01:20.333809Z

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.

source=pdf_text observed=2026-05-09T18:54:06.144968Z digest=sha256:d49936d00f985b293c8332818fb16d278951137957ef1a07bc53fc971e77db59

Observation 63a1364c-e02b-431b-b59f-27a0ab6886f2 · inbound

LLM-Oriented Information Retrieval: A Denoising-First Perspective cites this paper.

LLM-Oriented Information Retrieval: A Denoising-First Perspective AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline

Reference 92

Resolution
verified exact
arxiv_id, observed 2026-05-21T00:19:16.458641Z

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.

source=pdf_text observed=2026-05-21T00:18:32.423103Z digest=sha256:6c89aa5345643349944a052e266221a87edf26d08fa0c6e1817dd2e76c9c74be

Observation ea7df1ad-878e-4664-8256-73d0b7c202f5 · inbound

LatentRAG: Latent Reasoning and Retrieval for Efficient Agentic RAG cites this paper.

LatentRAG: Latent Reasoning and Retrieval for Efficient Agentic RAG AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:01:12.167693Z

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.

source=pdf_text observed=2026-05-08T10:27:00.257353Z digest=sha256:a7e5ce8730d527aff82e52a158bb5998dc3179efd5b98281e7fd1c3962d2ef02

Observation 4399cddb-ea11-42af-b0ef-1b926e8e2b38 · inbound

C$^2$KV: Compressed and Composable KV Cache Reuse for Efficient LLM Inference cites this paper.

C$^2$KV: Compressed and Composable KV Cache Reuse for Efficient LLM Inference AutoRAG: Automated Framework for optimization of Retrieval Augmented Generation Pipeline

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T17:16:37.727927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:16:37.727927Z digest=sha256:1779af9e40670142b1ed4b4203a7f0de171ce8eda55d4b8d139b59fc334a30d9