Paper Citation Record · LEDGER

Hallucination Detection with Small Language Models

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2506.22486.

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

pith.paper-citation-record.v1
2506.22486 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:11:44.524772Z

measured 38 of 38 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

38 of 38 outbound references displayed

verified exact0
verified fuzzy6
unresolved32
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c98f6ece-c6ab-46b0-9458-35a715e9a10b · outbound

This paper cites A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions.

Hallucination Detection with Small Language Models A Survey on Hallucination in Large Language Models: Principles, Taxonomy, Challenges, and Open Questions

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:40.951534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8863f3b9-e5a5-4ca2-a8b0-1f1e70662a32 · outbound

This paper cites Rouge: A package for automatic evaluation of summaries,.

Hallucination Detection with Small Language Models Rouge: A package for automatic evaluation of summaries,

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:41.039068Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20a7edbf-4277-4dac-baad-70a35fd03559 · outbound

This paper cites Language Models (Mostly) Know What They Know.

Hallucination Detection with Small Language Models Language Models (Mostly) Know What They Know

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:41.104384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 010a0c4a-5ec3-4dbe-a921-b3808518c47c · outbound

This paper cites Retrieval- augmented generation for knowledge-intensive nlp tasks,.

Hallucination Detection with Small Language Models Retrieval- augmented generation for knowledge-intensive nlp tasks,

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:41.170579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21d105b4-8e57-4a89-b795-80e729746cca · outbound

This paper cites When Large Language Models Meet Vector Databases: A Survey.

Hallucination Detection with Small Language Models When Large Language Models Meet Vector Databases: A Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:41.231064Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e197c3c-4115-49ba-8867-0bb0abd59eab · outbound

This paper cites Small Language Models: Survey, Measurements, and Insights.

Hallucination Detection with Small Language Models Small Language Models: Survey, Measurements, and Insights

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:41.309503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52499670-29e7-4871-9615-39869198ada2 · outbound

This paper cites Prompt programming for large language models: Beyond the few-shot paradigm,.

Hallucination Detection with Small Language Models Prompt programming for large language models: Beyond the few-shot paradigm,

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:41.358255Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78228841-48af-4eed-9109-bd4175f41806 · outbound

This paper cites Challenges and Applications of Large Language Models.

Hallucination Detection with Small Language Models Challenges and Applications of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:41.445965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5951fa15-31fd-4c02-90f8-162ba0d19f3e · outbound

This paper cites Translating Natural Language to Planning Goals with Large-Language Models.

Hallucination Detection with Small Language Models Translating Natural Language to Planning Goals with Large-Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:41.552461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1245063c-0655-4595-946b-bf376e9f73d8 · outbound

This paper cites A Reality check of the benefits of LLM in business.

Hallucination Detection with Small Language Models A Reality check of the benefits of LLM in business

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:41.642056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa7bff0d-e90e-4833-8dcd-77f2529611a4 · outbound

This paper cites Recent Advances in Recurrent Neural Networks.

Hallucination Detection with Small Language Models Recent Advances in Recurrent Neural Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:41.735110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b216261c-cf7c-4fc6-a696-969675f874dd · outbound

This paper cites Long short-term memory,.

Hallucination Detection with Small Language Models Long short-term memory,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:41.911578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d85f681-3ff3-4804-b3af-a73d3ae0c71f · outbound

This paper cites Overview of the transformer-based models for nlp tasks,.

Hallucination Detection with Small Language Models Overview of the transformer-based models for nlp tasks,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:45.881873Z

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.

Observation d1e886f6-9e0e-4447-ad53-4db00edbaaed · outbound

This paper cites Attention is all you need,.

Hallucination Detection with Small Language Models Attention is all you need,

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:42.088853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c3fbef1-6d6e-4f2d-8e18-40a1cf687ec4 · outbound

This paper cites Gpt-3: What’s it good for?.

Hallucination Detection with Small Language Models Gpt-3: What’s it good for?

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:45.713916Z

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.

Observation 5fb0386e-f420-43ce-ab55-0e36351181c7 · outbound

This paper cites An overview of bard: an early experiment with generative ai,.

Hallucination Detection with Small Language Models An overview of bard: an early experiment with generative ai,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:45.587332Z

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.

Observation 55561904-3e5d-4a38-8746-ecac94d5052c · outbound

This paper cites Evaluating Verifiability in Generative Search Engines.

Hallucination Detection with Small Language Models Evaluating Verifiability in Generative Search Engines

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:42.435270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8a62c16-23ae-4114-bb54-ce478dd073d9 · outbound

This paper cites Training language models to follow instructions with human feedback,.

Hallucination Detection with Small Language Models Training language models to follow instructions with human feedback,

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:42.535589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d0804d4-fc7c-42b8-8ad2-05e0b68822df · outbound

This paper cites Language mod- els are few-shot learners,.

Hallucination Detection with Small Language Models Language mod- els are few-shot learners,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:42.648129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e3cfe96-3543-4476-8dbe-550ee8a2db9d · outbound

This paper cites An Audit on the Perspectives and Challenges of Hallucinations in NLP.

Hallucination Detection with Small Language Models An Audit on the Perspectives and Challenges of Hallucinations in NLP

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:42.752082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd2afcde-3686-49e3-bc94-4d985f0873be · outbound

This paper cites On calibration of modern neural networks,.

Hallucination Detection with Small Language Models On calibration of modern neural networks,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:42.876120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc7b28cc-a04c-46f8-9852-b12be02f4b30 · outbound

This paper cites Bleu: a method for automatic evaluation of machine translation,.

Hallucination Detection with Small Language Models Bleu: a method for automatic evaluation of machine translation,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:42.988896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ff19275-d4d5-4b94-8fa4-0150e9b7f72e · outbound

This paper cites Hallucination detection: Robustly discerning reliable answers in large language models,.

Hallucination Detection with Small Language Models Hallucination detection: Robustly discerning reliable answers in large language models,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:45.441797Z

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.

Observation 49bf99fb-d3aa-4c22-b1bf-96bcecba2ae6 · outbound

This paper cites Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data.

Hallucination Detection with Small Language Models Controlled Hallucinations: Learning to Generate Faithfully from Noisy Data

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:43.157795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 448560d3-f2d6-4a2e-a81d-a324e5ec4724 · outbound

This paper cites LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations.

Hallucination Detection with Small Language Models LLMs Know More Than They Show: On the Intrinsic Representation of LLM Hallucinations

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:43.229239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91bf25c5-f553-482d-bf85-9d2a3fe134af · outbound

This paper cites GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements.

Hallucination Detection with Small Language Models GLoRe: When, Where, and How to Improve LLM Reasoning via Global and Local Refinements

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:43.320414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9440cc8e-c0e8-44ac-9c32-05538e2e1dc5 · outbound

This paper cites Generating Sequences by Learning to Self-Correct.

Hallucination Detection with Small Language Models Generating Sequences by Learning to Self-Correct

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:43.449396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f36a37a-a27e-4c54-aee5-70fac33595bf · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy,.

Hallucination Detection with Small Language Models Detecting hallucinations in large language models using semantic entropy,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:45.248931Z

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.

Observation edf8ea62-d53a-4f2f-b2a6-4c2983aeac05 · outbound

This paper cites To Believe or Not to Believe Your LLM.

Hallucination Detection with Small Language Models To Believe or Not to Believe Your LLM

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:43.619466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 08e1fc67-a40b-415c-a128-dd2d9bde2c70 · outbound

This paper cites To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning.

Hallucination Detection with Small Language Models To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:43.718989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21c7b13c-b495-4f0c-9350-0254e6ba777d · outbound

This paper cites Improving language understanding by generative pre-training,.

Hallucination Detection with Small Language Models Improving language understanding by generative pre-training,

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:43.809001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0850a13a-beac-49c5-a96a-a8059a719da4 · outbound

This paper cites (accessed: 12.11.2023).

Hallucination Detection with Small Language Models (accessed: 12.11.2023)

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:11:45.026179Z

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.

Observation 37355f90-e2e7-4203-99dc-7cf2108fe1c8 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Hallucination Detection with Small Language Models LoRA: Low-Rank Adaptation of Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:43.987446Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 065637cf-f68f-43b8-bba1-d81040644629 · outbound

This paper cites Reducing hallucination in structured outputs via Retrieval-Augmented Generation.

Hallucination Detection with Small Language Models Reducing hallucination in structured outputs via Retrieval-Augmented Generation

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:44.108057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2c4ba21-897a-45cd-b518-ea27df255621 · outbound

This paper cites Qwen Technical Report.

Hallucination Detection with Small Language Models Qwen Technical Report

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:44.231633Z

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Unavailable: canonical work link unavailable.

Observation d606619a-503b-49e1-a5ae-1b774301f208 · outbound

This paper cites MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies.

Hallucination Detection with Small Language Models MiniCPM: Unveiling the Potential of Small Language Models with Scalable Training Strategies

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:44.322465Z

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Observation 12064596-d6e3-4ecf-aa0c-4ace886b1729 · outbound

This paper cites Mixture-of-experts with expert choice routing,.

Hallucination Detection with Small Language Models Mixture-of-experts with expert choice routing,

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:44.442397Z

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Unavailable: canonical work link unavailable.

Observation e70cdb1e-0516-4a23-b808-15feffbe6d3a · outbound

This paper cites Complex Claim Verification with Evidence Retrieved in the Wild.

Hallucination Detection with Small Language Models Complex Claim Verification with Evidence Retrieved in the Wild

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:44.524772Z

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Pith citing papers

No inbound Pith citation observations are available.