Cover Image

Facts as First Class Objects: Knowledge Objects for Persistent LLM Memory

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zahn, Oliver, Chana, Simran
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Selective Memory for Artificial Intelligence: Write-Time Gating with Hierarchical Archiving
by: Zahn, Oliver, et al.
Published: (2026)

ANML: Attribution-Native Machine Learning with Guaranteed Robustness
by: Zahn, Oliver, et al.
Published: (2026)

Attention Is Not Retention: The Orthogonality Constraint in Infinite-Context Architectures
by: Zahn, Oliver, et al.
Published: (2026)

Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence
by: Coskunuzer, Baris, et al.
Published: (2024)

Leveraging LLM Parametric Knowledge for Fact Checking without Retrieval
by: Vazhentsev, Artem, et al.
Published: (2026)

Diffusion as Reasoning: Enhancing Object Navigation via Diffusion Model Conditioned on LLM-based Object-Room Knowledge
by: Ji, Yiming, et al.
Published: (2024)

Molecular Facts: Desiderata for Decontextualization in LLM Fact Verification
by: Gunjal, Anisha, et al.
Published: (2024)

Peter Parker or Spiderman? Disambiguating Multiple Class Labels
by: Mummani, Nuthan, et al.
Published: (2024)

Multi-Class Human/Object Detection on Robot Manipulators using Proprioceptive Sensing
by: Hehli, Justin, et al.
Published: (2025)

Knowledge Amalgamation for Object Detection with Transformers
by: Zhang, Haofei, et al.
Published: (2022)

Fact in Fragments: Deconstructing Complex Claims via LLM-based Atomic Fact Extraction and Verification
by: Zheng, Liwen, et al.
Published: (2025)

AHC: Meta-Learned Adaptive Compression for Continual Object Detection on Memory-Constrained Microcontrollers
by: Wilson, Bibin
Published: (2026)

Few-shot Class-incremental Learning for Classification and Object Detection: A Survey
by: Zhang, Jinghua, et al.
Published: (2023)

Hierarchical Memory Orchestration for Personalized Persistent Agents
by: Liu, Junming, et al.
Published: (2026)

LGR: LLM-Guided Ranking of Frontiers for Object Goal Navigation
by: Uno, Mitsuaki, et al.
Published: (2025)

Augmented Commonsense Knowledge for Remote Object Grounding
by: Mohammadi, Bahram, et al.
Published: (2024)

A Note on Knowledge Distillation Loss Function for Object Classification
by: Chen, Defang
Published: (2021)

Large Language Models as a Tool for Mining Object Knowledge
by: An, Hannah YoungEun, et al.
Published: (2024)

PersistBench: When Should Long-Term Memories Be Forgotten by LLMs?
by: Pulipaka, Sidharth, et al.
Published: (2026)

Springdrift: An Auditable Persistent Runtime for LLM Agents with Case-Based Memory, Normative Safety, and Ambient Self-Perception
by: Brady, Seamus
Published: (2026)

NeuSymMS: A Hybrid Neuro-Symbolic Memory System for Persistent, Self-Curating LLM Agents
by: Sultan, Mujahid, et al.
Published: (2026)

Query Answering in Object Oriented Knowledge Bases in Logic Programming: Description and Challenge for ASP
by: Chaudhri, Vinay K., et al.
Published: (2013)

Making Prompts First-Class Citizens for Adaptive LLM Pipelines
by: Cetintemel, Ugur, et al.
Published: (2025)

Enhancing Health Fact-Checking with LLM-Generated Synthetic Data
by: Zhang, Jingze, et al.
Published: (2025)

MEX: Memory-efficient Approach to Referring Multi-Object Tracking
by: Tran, Huu-Thien, et al.
Published: (2025)

RMem: Restricted Memory Banks Improve Video Object Segmentation
by: Zhou, Junbao, et al.
Published: (2024)

Memory-Efficient Continual Learning Object Segmentation for Long Video
by: Nazemi, Amir, et al.
Published: (2023)

Dynamic Attention Mechanism in Spatiotemporal Memory Networks for Object Tracking
by: Zhou, Meng, et al.
Published: (2025)

ODMA: On-Demand Memory Allocation Strategy for LLM Serving on LPDDR-Class Accelerators
by: Zou, Guoqiang, et al.
Published: (2025)

Prompt-responsive Object Retrieval with Memory-augmented Student-Teacher Learning
by: Mosbach, Malte, et al.
Published: (2025)

Give Us the Facts: Enhancing Large Language Models with Knowledge Graphs for Fact-aware Language Modeling
by: Yang, Linyao, et al.
Published: (2023)

MemoryGraft: Persistent Compromise of LLM Agents via Poisoned Experience Retrieval
by: Srivastava, Saksham Sahai, et al.
Published: (2025)

R2F: Repurposing Ray Frontiers for LLM-free Object Navigation
by: Argenziano, Francesco, et al.
Published: (2026)

Cache What Lasts: Token Retention for Memory-Bounded KV Cache in LLMs
by: Bui, Ngoc, et al.
Published: (2025)

CGSA: Class-Guided Slot-Aware Adaptation for Source-Free Object Detection
by: Dai, Boyang, et al.
Published: (2026)

Efficient and Concise Explanations for Object Detection with Gaussian-Class Activation Mapping Explainer
by: Nguyen, Quoc Khanh, et al.
Published: (2024)

Class-balanced Open-set Semi-supervised Object Detection for Medical Images
by: Lu, Zhanyun, et al.
Published: (2024)

HALO: Half Life-Based Outdated Fact Filtering in Temporal Knowledge Graphs
by: Ding, Feng, et al.
Published: (2025)

Tokenize the World into Object-level Knowledge to Address Long-tail Events in Autonomous Driving
by: Tian, Ran, et al.
Published: (2024)

Memory-Guided Tree Search with Cross-Branch Knowledge Transfer for LLM Solver Synthesis
by: Haji, Fatemeh, et al.
Published: (2026)