SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion | Paper Citation Record

Observation e8b02096-e7d2-4404-80a7-1596ce8d4dd9 · outbound

This paper cites Claude 3.7 sonnet: Hybrid reasoning model, state-of-the-art coding skills, computer use, and 200k context window, 2025.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Claude 3.7 sonnet: Hybrid reasoning model, state-of-the-art coding skills, computer use, and 200k context window, 2025

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:58.244663Z

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Observation 0fdb43b6-9cc7-4543-a6c1-6dc45d583a89 · outbound

This paper cites The Internal State of an LLM Knows When It's Lying.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion The Internal State of an LLM Knows When It's Lying

Reference 2

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Observation 8d2ead0b-f716-4ed8-85be-aef5d1f8fe7c · outbound

This paper cites Audio chord recognition with recurrent neural networks.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Audio chord recognition with recurrent neural networks

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:58.234199Z

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Observation 259a97b7-080f-4783-8b07-4bcfbe963366 · outbound

This paper cites Routledge, 2017.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Routledge, 2017

Reference 4

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Observation f4c39e73-14a0-4955-a22a-10e9333ef8a6 · outbound

This paper cites INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection

Reference 5

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Observation 1a17a650-ac3d-4328-95e3-c7da7762d72e · outbound

This paper cites ChromaDB: AI-native open-source embedding database.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion ChromaDB: AI-native open-source embedding database

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:58.212666Z

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Observation f35d44a6-2830-42cb-ab72-09d3a4f83748 · outbound

This paper cites How to remove or control confounds in predictive models, with applications to brain biomarkers.GigaScience, 11:giac014, 2022.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion How to remove or control confounds in predictive models, with applications to brain biomarkers.GigaScience, 11:giac014, 2022

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:58.201130Z

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Observation 2e65878e-be1d-45fa-990d-24fbaf23c009 · outbound

This paper cites Deepseek-r1 release, 2025.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Deepseek-r1 release, 2025

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:58.187546Z

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Observation d1f2547d-84fb-461c-8ffd-bc02216b6be5 · outbound

This paper cites A mathematical framework for transformer circuits.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion A mathematical framework for transformer circuits

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:58.175164Z

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Observation 130013a0-74ef-4bf8-88e7-db8896f6a4fc · outbound

This paper cites Ragas: Automated evaluation of retrieval augmented generation.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Ragas: Automated evaluation of retrieval augmented generation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:55.895964Z

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Observation 3ca87547-6bdc-4c46-815a-f05e9d545c68 · outbound

This paper cites A survey on rag meeting llms: Towards retrieval-augmented large language models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion A survey on rag meeting llms: Towards retrieval-augmented large language models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:55.899292Z

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Observation 0a1fb5c1-31a2-4fc1-b3ea-931af8b55412 · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.Nature, 630(8017):625–630, 2024.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Detecting hallucinations in large language models using semantic entropy.Nature, 630(8017):625–630, 2024

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:55.902717Z

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Observation fe91fb74-de08-4c39-a398-ef746591b493 · outbound

This paper cites Information Flow Routes: Automatically Interpreting Language Models at Scale.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Information Flow Routes: Automatically Interpreting Language Models at Scale

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:55.958059Z

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Observation 9a808685-4c0c-40cf-ba41-2a6a9fcc6fe6 · outbound

This paper cites A primer on the inner workings of transformer-based language models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion A primer on the inner workings of transformer-based language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:58.101947Z

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Observation 39915e59-6aa8-430e-8e2b-eae4c23cc336 · outbound

This paper cites Costa-jussà.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Costa-jussà

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:58.090515Z

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Observation 67f4fc22-eff9-4f11-8317-13c3be2df9c7 · outbound

This paper cites The Chronicles of RAG: The Retriever, the Chunk and the Generator.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion The Chronicles of RAG: The Retriever, the Chunk and the Generator

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:55.969761Z

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Observation afa0780f-0959-4f02-8660-631d6a19d49d · outbound

This paper cites Peer review of gpt-4 technical report and systems card.PLOS digital health, 3(1):e0000417, 2024.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Peer review of gpt-4 technical report and systems card.PLOS digital health, 3(1):e0000417, 2024

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:55.992399Z

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Observation b6a7948c-2c72-4474-9a31-88212a0e7ff3 · outbound

This paper cites Transformer Feed-Forward Layers Are Key-Value Memories.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Transformer Feed-Forward Layers Are Key-Value Memories

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.085588Z

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Observation b9635040-92e3-447c-a9e7-5cff8df10361 · outbound

This paper cites The Llama 3 Herd of Models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion The Llama 3 Herd of Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.089679Z

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Observation c1c4439f-3bb8-4544-873c-73c65764cd8d · outbound

This paper cites Sequence Transduction with Recurrent Neural Networks.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Sequence Transduction with Recurrent Neural Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.093610Z

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Observation b9b828e8-0eef-414e-8e82-20f5d57e74b2 · outbound

This paper cites Inspecting and Editing Knowledge Representations in Language Models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Inspecting and Editing Knowledge Representations in Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.141619Z

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Observation 5c4c3be1-a461-426c-8e70-fd5242a40e44 · outbound

This paper cites A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Transactions on Information Systems, 43 (2):1–55, 2025.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions.ACM Transactions on Information Systems, 43 (2):1–55, 2025

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:58.055447Z

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Observation 10f32b16-4c87-4ae1-ab6e-4b617b208123 · outbound

This paper cites To trust or not to trust? enhancing large language models’ situated faithfulness to external contexts.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion To trust or not to trust? enhancing large language models’ situated faithfulness to external contexts

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:57.988794Z

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Observation 856e4542-df0d-4854-819c-6254d9f24b21 · outbound

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

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Language Models (Mostly) Know What They Know

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.154518Z

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Observation 6b22f5fb-d4a0-4d6d-a4b7-f69f40797ed7 · outbound

This paper cites Control of confounding in the analysis phase–an overview for clinicians.Clinical epidemiology, pages 195–204, 2017.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Control of confounding in the analysis phase–an overview for clinicians.Clinical epidemiology, pages 195–204, 2017

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:57.977297Z

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Observation 34b25f62-41c8-4db6-a9be-ee9fbc4f86e1 · outbound

This paper cites Calibrated language models must hallucinate.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Calibrated language models must hallucinate

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:57.965090Z

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Observation fa6660ff-394a-41c6-9ecb-bb57e7852527 · outbound

This paper cites Incorporating Residual and Normalization Layers into Analysis of Masked Language Models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Incorporating Residual and Normalization Layers into Analysis of Masked Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.254476Z

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Observation 6745185a-d31e-4215-b09e-2e28081613da · outbound

This paper cites Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.290921Z

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Observation 3afdb703-5f4a-4cc1-b65d-52759150136a · outbound

This paper cites Evaluating the Factual Consistency of Abstractive Text Summarization.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Evaluating the Factual Consistency of Abstractive Text Summarization

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.295101Z

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Observation 6487bcb7-67de-4d45-b175-e474e34438e2 · outbound

This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.299950Z

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Observation b23d9b95-e18f-41a8-ab65-bc0acb83adfc · outbound

This paper cites Langchain is a framework for developing applications powered by large language models (llms).,.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Langchain is a framework for developing applications powered by large language models (llms).,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:57.927955Z

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Observation 1d7f494b-6672-49b3-b10b-100aa62252a5 · outbound

This paper cites Look Within, Why LLMs Hallucinate: A Causal Perspective.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Look Within, Why LLMs Hallucinate: A Causal Perspective

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.312109Z

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Observation 8b57ff11-4370-4fda-9f2d-30fd562613bf · outbound

This paper cites Inference-time intervention: Eliciting truthful answers from a language model.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Inference-time intervention: Eliciting truthful answers from a language model

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:57.897168Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a527ea8e-5ea9-413e-8b39-2ed05ecec9a4 · outbound

This paper cites DeepSeek-V3 Technical Report.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion DeepSeek-V3 Technical Report

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.405093Z

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Observation 1acde1b1-c901-46fe-8398-54f2f2792ca3 · outbound

This paper cites Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Attention-guided Self-reflection for Zero-shot Hallucination Detection in Large Language Models

Reference 35

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Observation 644dd6a1-f018-4276-aa77-35e458af0167 · outbound

This paper cites Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment

Reference 36

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Observation e3408453-67b4-45ae-abf5-cf573251aadc · outbound

This paper cites SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Reference 37

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Observation efd05456-c356-41c4-b611-c6ddf59e0b8b · outbound

This paper cites Llama 2: open source, free for research and commercial use, 2023.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Llama 2: open source, free for research and commercial use, 2023

Reference 38

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Observation 1bb7b653-eb80-43bc-8f3f-e20736906b77 · outbound

This paper cites Introducing Meta Llama 3: The most capable openly available LLM to date, 2024.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Introducing Meta Llama 3: The most capable openly available LLM to date, 2024

Reference 39

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Observation eca27e1c-e00c-4351-9574-cdcfe764aace · outbound

This paper cites FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion FActScore: Fine-grained Atomic Evaluation of Factual Precision in Long Form Text Generation

Reference 40

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Observation 81243e9a-94d1-476a-ac69-8518f2ebcf3b · outbound

This paper cites Overcoming Semantic Dilution in Transformer-Based Next Frame Prediction.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Overcoming Semantic Dilution in Transformer-Based Next Frame Prediction

Reference 41

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Observation 068ea40a-4032-47fe-8e9a-5319c1e5af94 · outbound

This paper cites RAGTruth: A hallucination corpus for developing trustworthy retrieval-augmented language models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion RAGTruth: A hallucination corpus for developing trustworthy retrieval-augmented language models

Reference 42

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Observation c743dd55-bf7a-418a-8de3-ad190b91e21c · outbound

This paper cites Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation

Reference 43

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Observation 7bd25916-a563-4167-8dfe-9bb64d8aa75b · outbound

This paper cites Improving language under- standing by generative pre-training.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Improving language under- standing by generative pre-training

Reference 44

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Observation 3386db0f-8a95-47e9-8aa4-11f93419c6a6 · outbound

This paper cites The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion The HalluRAG Dataset: Detecting Closed-Domain Hallucinations in RAG Applications Using an LLM's Internal States

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.562587Z

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Observation ef90003c-9a00-4db3-b61f-c5e098c85e1e · outbound

This paper cites Trust Me, I'm Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Trust Me, I'm Wrong: LLMs Hallucinate with Certainty Despite Knowing the Answer

Reference 46

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Observation 07a510f6-6d55-4f53-9ab6-73b4a10226cc · outbound

This paper cites Extracting Latent Steering Vectors from Pretrained Language Models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Extracting Latent Steering Vectors from Pretrained Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.629850Z

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Observation b4dbfebd-174a-47de-8298-4ae1da55e7da · outbound

This paper cites Augmenting Self-attention with Persistent Memory.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Augmenting Self-attention with Persistent Memory

Reference 48

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Observation e15249d5-4c4b-4a33-8c74-bdc654819c37 · outbound

This paper cites Transformer Layers as Painters.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Transformer Layers as Painters

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.705729Z

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Observation 6cd3dc83-b2d8-4a0d-95cc-d4424675515a · outbound

This paper cites Redeep: Detecting hallucination in retrieval-augmented generation via mechanistic interpretability.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Redeep: Detecting hallucination in retrieval-augmented generation via mechanistic interpretability

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.709900Z

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Observation 1518ad2a-7d61-4da7-aa21-a9656c99d839 · outbound

This paper cites Sequence to sequence learning with neural networks.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Sequence to sequence learning with neural networks

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.715057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70a93df8-c574-4686-98c1-54a7de835446 · outbound

This paper cites Qwen2.5: A party of foundation models!, 2024.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Qwen2.5: A party of foundation models!, 2024

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:57.716241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 74fa9150-7633-4f2b-8160-d10a81f08eec · outbound

This paper cites The best 7b model to date, apache 2.0, 2024.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion The best 7b model to date, apache 2.0, 2024

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:57.672420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 0d21a7dc-c2cc-45bc-b0e1-0539e9190df8 · outbound

This paper cites A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.833963Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94481572-c72d-4020-a99d-e996ef94c196 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.844818Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 679f56a0-d2f8-4624-a36d-2f42a9f0a6bb · outbound

This paper cites Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Analyzing Multi-Head Self-Attention: Specialized Heads Do the Heavy Lifting, the Rest Can Be Pruned

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.848801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 609f3348-1edc-4c9d-9d06-115de20c88c5 · outbound

This paper cites Wise: Rethinking the knowledge memory for lifelong model editing of large language models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Wise: Rethinking the knowledge memory for lifelong model editing of large language models

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:18:57.504286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 94619282-1e4e-48cd-8940-8dba8f746f5f · outbound

This paper cites Retrieval Head Mechanistically Explains Long-Context Factuality.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Retrieval Head Mechanistically Explains Long-Context Factuality

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.859224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e8da0e0-97a8-4b74-86a9-c642463cd5ac · outbound

This paper cites Ragtruth: A hallucination corpus for developing trustworthy retrieval-augmented language models, 2023.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Ragtruth: A hallucination corpus for developing trustworthy retrieval-augmented language models, 2023

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.863539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e13741d4-cf4d-4c1d-98fb-32bc6c1872c8 · outbound

This paper cites Knowledge Conflicts for LLMs: A Survey.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Knowledge Conflicts for LLMs: A Survey

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:56.941850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a701dfc-5cf1-4072-a961-75053956ad68 · outbound

This paper cites Cognitive Mirage: A Review of Hallucinations in Large Language Models.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Cognitive Mirage: A Review of Hallucinations in Large Language Models

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:57.018155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bad0e04-9b94-47ba-bee5-f8d7a840385f · outbound

This paper cites InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion InterrogateLLM: Zero-Resource Hallucination Detection in LLM-Generated Answers

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:57.021763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 265c1edc-c77e-4d95-97f3-efe22d4c161b · outbound

This paper cites Explainability for large language models: A survey.ACM Transactions on Intelligent Systems and Technology, 15(2):1–38, 2024.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Explainability for large language models: A survey.ACM Transactions on Intelligent Systems and Technology, 15(2):1–38, 2024

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:57.026584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2569a1a7-b213-465e-87d6-c5f9981716f6 · outbound

This paper cites Self-Adjust Softmax.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Self-Adjust Softmax

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:57.031190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa57f143-9327-42c7-a785-ba0ce64e230a · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Representation Engineering: A Top-Down Approach to AI Transparency

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-15T22:18:57.034972Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ba07860-de8c-43a3-8f5f-6a095dbe40f6 · outbound

This paper cites an unresolved cited work.

SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Unresolved cited work

Reference 2025

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:18:57.908535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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