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Paper Citation Record · LEDGER

LettuceDetect: A Hallucination Detection Framework for RAG Applications

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 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 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:27:09.416073Z

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 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:f31ff2997bcc9940d4e11ac12767a67704e926f24fb0eaf87b341f9a2fa53d01

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:ecc40a55131785d2b438e43460cd2ea481de45e0ae9fd3dda95cff5d5d4afff4

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:d2017a381509732085d2017aba4d4aaa2bc7f5b4291ec8a332e18504ce5ecf92

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-10T08:38:42.029762Z digest=sha256:9eb8502b051814257f50790b034dee431646bed66464a0c4fb16f52523dfe1a2

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T01:18:22.403570Z digest=sha256:6f30b184b6509c6205290c43e70c4f90581c9d28eb47ff91d36664e920adc3be

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T08:58:17.586857Z digest=sha256:12060930b9a3c4ade6b14f6675ba9ca82229310dad8cc0f65c079aba4042f963

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=sha256:9af4138c8046be49c3e39c7b4a6dcde03521bc5daf3fbd6000ee57e5ddd2042b

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:dd7d026806ab4c803a9b6906dc2da77bdc39d2e81ce282581dda8afdf1d78448