Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:18:57.034972Z
Paper Citation Record · LEDGER
As of 16 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2505.07528.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T22:18:57.034972Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
66 of 66 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation e8b02096-e7d2-4404-80a7-1596ce8d4dd9 · outbound
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
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Observation 0fdb43b6-9cc7-4543-a6c1-6dc45d583a89 · outbound
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
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Audio chord recognition with recurrent neural networks
Reference 3
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Observation 259a97b7-080f-4783-8b07-4bcfbe963366 · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Routledge, 2017
Reference 4
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f4c39e73-14a0-4955-a22a-10e9333ef8a6 · outbound
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
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion ChromaDB: AI-native open-source embedding database
Reference 6
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Observation f35d44a6-2830-42cb-ab72-09d3a4f83748 · outbound
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
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Observation 2e65878e-be1d-45fa-990d-24fbaf23c009 · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Deepseek-r1 release, 2025
Reference 8
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Observation d1f2547d-84fb-461c-8ffd-bc02216b6be5 · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion A mathematical framework for transformer circuits
Reference 9
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 130013a0-74ef-4bf8-88e7-db8896f6a4fc · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Ragas: Automated evaluation of retrieval augmented generation
Reference 10
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Observation 3ca87547-6bdc-4c46-815a-f05e9d545c68 · outbound
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
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Observation 0a1fb5c1-31a2-4fc1-b3ea-931af8b55412 · outbound
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
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Observation fe91fb74-de08-4c39-a398-ef746591b493 · outbound
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
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Observation 9a808685-4c0c-40cf-ba41-2a6a9fcc6fe6 · outbound
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
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Observation 39915e59-6aa8-430e-8e2b-eae4c23cc336 · outbound
Reference 15
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Observation 67f4fc22-eff9-4f11-8317-13c3be2df9c7 · outbound
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
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Observation afa0780f-0959-4f02-8660-631d6a19d49d · outbound
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
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Observation b6a7948c-2c72-4474-9a31-88212a0e7ff3 · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Transformer Feed-Forward Layers Are Key-Value Memories
Reference 18
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Observation b9635040-92e3-447c-a9e7-5cff8df10361 · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion The Llama 3 Herd of Models
Reference 19
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Observation c1c4439f-3bb8-4544-873c-73c65764cd8d · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Sequence Transduction with Recurrent Neural Networks
Reference 20
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Observation b9b828e8-0eef-414e-8e82-20f5d57e74b2 · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Inspecting and Editing Knowledge Representations in Language Models
Reference 21
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Observation 5c4c3be1-a461-426c-8e70-fd5242a40e44 · outbound
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
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Observation 10f32b16-4c87-4ae1-ab6e-4b617b208123 · outbound
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
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 856e4542-df0d-4854-819c-6254d9f24b21 · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Language Models (Mostly) Know What They Know
Reference 24
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Observation 6b22f5fb-d4a0-4d6d-a4b7-f69f40797ed7 · outbound
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
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 34b25f62-41c8-4db6-a9be-ee9fbc4f86e1 · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Calibrated language models must hallucinate
Reference 26
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fa6660ff-394a-41c6-9ecb-bb57e7852527 · outbound
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
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Observation 6745185a-d31e-4215-b09e-2e28081613da · outbound
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
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Observation 3afdb703-5f4a-4cc1-b65d-52759150136a · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Evaluating the Factual Consistency of Abstractive Text Summarization
Reference 29
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Observation 6487bcb7-67de-4d45-b175-e474e34438e2 · outbound
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
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Observation b23d9b95-e18f-41a8-ab65-bc0acb83adfc · outbound
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
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1d7f494b-6672-49b3-b10b-100aa62252a5 · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Look Within, Why LLMs Hallucinate: A Causal Perspective
Reference 32
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Observation 8b57ff11-4370-4fda-9f2d-30fd562613bf · outbound
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
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a527ea8e-5ea9-413e-8b39-2ed05ecec9a4 · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion DeepSeek-V3 Technical Report
Reference 34
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Observation 1acde1b1-c901-46fe-8398-54f2f2792ca3 · outbound
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
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
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
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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1bb7b653-eb80-43bc-8f3f-e20736906b77 · outbound
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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation eca27e1c-e00c-4351-9574-cdcfe764aace · outbound
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
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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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 068ea40a-4032-47fe-8e9a-5319c1e5af94 · outbound
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
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
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
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
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Observation ef90003c-9a00-4db3-b61f-c5e098c85e1e · outbound
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
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Extracting Latent Steering Vectors from Pretrained Language Models
Reference 47
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Observation b4dbfebd-174a-47de-8298-4ae1da55e7da · outbound
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
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Transformer Layers as Painters
Reference 49
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Observation 6cd3dc83-b2d8-4a0d-95cc-d4424675515a · outbound
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
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Observation 1518ad2a-7d61-4da7-aa21-a9656c99d839 · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Sequence to sequence learning with neural networks
Reference 51
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Observation 70a93df8-c574-4686-98c1-54a7de835446 · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Qwen2.5: A party of foundation models!, 2024
Reference 52
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Observation 74fa9150-7633-4f2b-8160-d10a81f08eec · outbound
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
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Observation 0d21a7dc-c2cc-45bc-b0e1-0539e9190df8 · outbound
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
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Observation 94481572-c72d-4020-a99d-e996ef94c196 · outbound
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
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Observation 679f56a0-d2f8-4624-a36d-2f42a9f0a6bb · outbound
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
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Observation 609f3348-1edc-4c9d-9d06-115de20c88c5 · outbound
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
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 94619282-1e4e-48cd-8940-8dba8f746f5f · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Retrieval Head Mechanistically Explains Long-Context Factuality
Reference 58
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Observation 3e8da0e0-97a8-4b74-86a9-c642463cd5ac · outbound
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
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Observation e13741d4-cf4d-4c1d-98fb-32bc6c1872c8 · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Knowledge Conflicts for LLMs: A Survey
Reference 60
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Observation 8a701dfc-5cf1-4072-a961-75053956ad68 · outbound
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
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Observation 0bad0e04-9b94-47ba-bee5-f8d7a840385f · outbound
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
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Observation 265c1edc-c77e-4d95-97f3-efe22d4c161b · outbound
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
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Observation 2569a1a7-b213-465e-87d6-c5f9981716f6 · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Self-Adjust Softmax
Reference 64
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Observation fa57f143-9327-42c7-a785-ba0ce64e230a · outbound
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
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Observation 8ba07860-de8c-43a3-8f5f-6a095dbe40f6 · outbound
SEReDeEP: Hallucination Detection in Retrieval-Augmented Models via Semantic Entropy and Context-Parameter Fusion Unresolved cited work
Reference 2025
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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
No inbound Pith citation observations are available.