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Paper Citation Record · LEDGER

C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.03181.

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

pith.paper-citation-record.v1
2402.03181 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-30T20:34:28.914885Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T13:32:17.302752Z

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 1b4ad063-9f0b-4b64-9c32-0fcfa7bc6a33 · inbound

Retrieval-Augmented Generation for AI-Generated Content: A Survey cites this paper.

Retrieval-Augmented Generation for AI-Generated Content: A Survey C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-15T13:32:17.304243Z

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.

source=pdf_text observed=2026-05-15T13:32:17.177021Z digest=sha256:194b6abfbf17020e63f94de7691f369c684512ff8314b32b98511de661247ff3

Observation f8df246f-a389-44df-a6c2-7b0950c15ec0 · inbound

MRCoder: An Efficient Context Selecting Approach for Repository-Level Code Generation cites this paper.

MRCoder: An Efficient Context Selecting Approach for Repository-Level Code Generation C-RAG: Certified Generation Risks for Retrieval-Augmented Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-30T20:34:28.914885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T20:34:28.914885Z digest=sha256:c336ad86fa3b77d8417adf8ed3f9956d410b802aab7e30a664c8a31af1a4a2b4