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Paper Citation Record · LEDGER

LettuceDetect: A Hallucination Detection Framework for RAG Applications

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2502.17125.

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

pith.paper-citation-record.v1
2502.17125 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:21:41.111564Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:05:36.768862Z

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 ab0b71e1-b589-4038-979f-c80cfb2db4c9 · inbound

ORION Grounded in Context: Retrieval-Based Method for Hallucination Detection cites this paper.

ORION Grounded in Context: Retrieval-Based Method for Hallucination Detection LettuceDetect: A Hallucination Detection Framework for RAG Applications

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T11:21:41.111564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T11:21:41.111564Z digest=sha256:cb35361fbc3131afef78eccdf3a5ab8284bd448d27a45516cabf3d84c8e3c25e

Observation cad61120-bbbc-4ade-bfa5-7d2806556a9c · inbound

CLATTER: Comprehensive Entailment Reasoning for Hallucination Detection cites this paper.

CLATTER: Comprehensive Entailment Reasoning for Hallucination Detection LettuceDetect: A Hallucination Detection Framework for RAG Applications

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T10:27:09.416073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:27:09.416073Z digest=sha256:80b14e3e1ce928b291c07c0ea58a35d7962b9df9d9312120a8d9eec1b9cf10a2

Observation cb34a9ef-3410-41e2-a407-078bf74ccb56 · inbound

FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models cites this paper.

FRED: Financial Retrieval-Enhanced Detection and Editing of Hallucinations in Language Models LettuceDetect: A Hallucination Detection Framework for RAG Applications

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T13:10:37.009361Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T13:10:37.009361Z digest=sha256:5242bda62ca98b73c09f266758a6353636c2548a16263ccc33083c5bce772710

Observation 0921f480-872f-4177-b51f-58a93cdaec27 · inbound

Retromorphic Testing with Hierarchical Verification for Hallucination Detection in RAG cites this paper.

Retromorphic Testing with Hierarchical Verification for Hallucination Detection in RAG LettuceDetect: A Hallucination Detection Framework for RAG Applications

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-02T17:15:02.817879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T17:15:02.817879Z digest=sha256:953e604488c3bdb4da3d2f31111f44019631a27084f340f7c9d67e87b662621f

Observation b8049b26-78f7-4496-8def-63ff67ed2db7 · inbound

RAGognizer: Hallucination-Aware Fine-Tuning via Detection Head Integration cites this paper.

RAGognizer: Hallucination-Aware Fine-Tuning via Detection Head Integration LettuceDetect: A Hallucination Detection Framework for RAG Applications

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T08:43:01.958137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-05-10T08:38:42.029762Z digest=sha256:514c46131ecdd7e2f20347475697d3fd69eb2b79de10a1aca097e5ea2df6e3f4

Observation 7bb4ac5c-575d-429b-824a-1501988670a0 · inbound

Do Benchmarks Underestimate LLM Performance? Evaluating Hallucination Detection With LLM-First Human-Adjudicated Assessment cites this paper.

Do Benchmarks Underestimate LLM Performance? Evaluating Hallucination Detection With LLM-First Human-Adjudicated Assessment LettuceDetect: A Hallucination Detection Framework for RAG Applications

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:06:29.047151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-12T01:18:22.403570Z digest=sha256:7599c7b3010a8f227a647957b89393512b30cdb8aabbb9692e1f63eae0bba3bd

Observation 1013389c-9d78-42ee-ae45-f783daf82733 · inbound

Detecting Hallucinations for Large Language Model-based Knowledge Graph Reasoning cites this paper.

Detecting Hallucinations for Large Language Model-based Knowledge Graph Reasoning LettuceDetect: A Hallucination Detection Framework for RAG Applications

Reference 108

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:05:36.771757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-07-01T08:58:17.586857Z digest=sha256:21cb9aa465bd29e0ad552a49a996437b09b426f37002508cbc476fa6e601d163

Observation 5e0df7e0-e6b2-407b-874c-21e0c595bb3f · inbound

Detecting Hallucinations in Retrieval-Augmented Generation through Grounding-Aware Sensitivity by Perturbation (GASP) cites this paper.

Detecting Hallucinations in Retrieval-Augmented Generation through Grounding-Aware Sensitivity by Perturbation (GASP) LettuceDetect: A Hallucination Detection Framework for RAG Applications

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-11T20:50:52.068889Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T20:50:52.068889Z digest=sha256:04e95ec098607bd159c76471d2527d1b710ec18656f7c3ca148ad5f8f52e092e

Observation 2ab8a531-bcc3-4f83-8ecb-a762aaaae22a · inbound

SIRIN: A Unified Toolkit for Detecting Contextual Hallucinations in Retrieval-Augmented and Memory-Grounded LLM Systems cites this paper.

SIRIN: A Unified Toolkit for Detecting Contextual Hallucinations in Retrieval-Augmented and Memory-Grounded LLM Systems LettuceDetect: A Hallucination Detection Framework for RAG Applications

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-04T01:41:05.268794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T01:41:05.268794Z digest=sha256:441e59af6ce31029c9ebc05ae90c2f52c9d656e844d944e85c8e586462585937