Paper Citation Record · LEDGER

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG

As of 5 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 1 inbound Pith citation observation for arXiv:2605.25716.

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

pith.paper-citation-record.v1
2605.25716 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

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measured 63 of 63 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T08:28:01.150685Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

62 of 62 outbound references displayed

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External citation measurements

0
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation bf4c1757-695f-492e-a457-76fc947849df · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG gpt-oss-120b & gpt-oss-20b Model Card

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-06-29T21:53:59.084417Z

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Observation cc6235bd-baac-4913-8893-ed6ccb97721e · outbound

This paper cites Self-rag: Learning to retrieve, gen- erate, and critique through self-reflection.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Self-rag: Learning to retrieve, gen- erate, and critique through self-reflection

Reference 2

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Observation 50a5d045-33aa-470b-8666-717caec9fa55 · outbound

This paper cites MS MARCO: A Human Generated MAchine Reading COmprehension Dataset.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-29T21:53:59.077231Z

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Observation d7e9dc69-59b8-43e4-93cc-9399896f6131 · outbound

This paper cites Improving language mod- els by retrieving from trillions of tokens.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Improving language mod- els by retrieving from trillions of tokens

Reference 4

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Observation 5f78b565-d7c8-419c-83ec-2dbc09f9de39 · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-06-29T21:53:59.086797Z

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Observation 9dbe2f11-430b-42e0-a0e0-0a91ed1370c1 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Evaluating Large Language Models Trained on Code

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-06-29T21:53:59.088968Z

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Observation 6e218df4-eca4-4a98-86f6-1603ce2b1063 · outbound

This paper cites Homomorphic encryption for arithmetic of ap- proximate numbers.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Homomorphic encryption for arithmetic of ap- proximate numbers

Reference 7

Resolution: unresolved; no resolver link, observed 2026-06-29T21:52:49.508434Z

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Observation c8b93a0f-b473-4ee9-827c-529995cebb9a · outbound

This paper cites Thirty years of graph matching in pattern recognition.International journal of pattern recognition and artificial intelligence, 18(03):265–298, 2004.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Thirty years of graph matching in pattern recognition.International journal of pattern recognition and artificial intelligence, 18(03):265–298, 2004

Reference 8

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Observation 84ac4246-c06c-4165-ad69-d6dd233c647c · outbound

This paper cites Improved achiev- ability and converse bounds for erdos-rényi graph match- ing.ACM SIGMETRICS performance evaluation review, 44(1):63–72, 2016.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Improved achiev- ability and converse bounds for erdos-rényi graph match- ing.ACM SIGMETRICS performance evaluation review, 44(1):63–72, 2016

Reference 9

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Observation 1bada04b-e678-4f2d-b2ea-5459d2b6ccd4 · outbound

This paper cites Flashattention: Fast and memory- efficient exact attention with io-awareness.Advances in neural information processing systems, 35:16344– 16359, 2022.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Flashattention: Fast and memory- efficient exact attention with io-awareness.Advances in neural information processing systems, 35:16344– 16359, 2022

Reference 10

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Observation dae4ddb3-df20-43de-897f-67179f629e18 · outbound

This paper cites Depth gives a false sense of privacy:{LLM} internal states inversion.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Depth gives a false sense of privacy:{LLM} internal states inversion

Reference 11

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This paper cites Puma: Secure in- ference of llama-7b in five minutes.Security and Safety, 4:2025014, 2025.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Puma: Secure in- ference of llama-7b in five minutes.Security and Safety, 4:2025014, 2025

Reference 12

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Observation ccfadf46-db7e-4506-ad64-4906900a6507 · outbound

This paper cites Dp-forward: Fine- tuning and inference on language models with differen- tial privacy in forward pass.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Dp-forward: Fine- tuning and inference on language models with differen- tial privacy in forward pass

Reference 13

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Observation 9cb32c00-7a94-4089-8cc4-aae9ec5e8af1 · outbound

This paper cites Unsplit: Data-oblivious model inversion, model stealing, and label inference attacks against split learning.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Unsplit: Data-oblivious model inversion, model stealing, and label inference attacks against split learning

Reference 14

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Observation e772ce5d-2592-4b5c-b41a-1fe4b7075bcf · outbound

This paper cites How contextual are contextualized word representations? comparing the geometry of bert, elmo, and gpt-2 embeddings.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG How contextual are contextualized word representations? comparing the geometry of bert, elmo, and gpt-2 embeddings

Reference 15

Resolution: unresolved; no resolver link, observed 2026-06-29T21:52:49.508434Z

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Observation 5c176b87-a772-471c-a07e-b7ae16527009 · outbound

This paper cites Simcse: Simple contrastive learning of sentence embeddings.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Simcse: Simple contrastive learning of sentence embeddings

Reference 16

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Observation cf1db351-b36c-4ad0-ba24-f6c1b3ba3e85 · outbound

This paper cites The Llama 3 Herd of Models.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG The Llama 3 Herd of Models

Reference 17

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Observation fb47f225-8bdf-42ee-9582-07060018ac2e · outbound

This paper cites Mamba: Linear-Time Sequence Modeling with Selective State Spaces.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Reference 18

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Observation 1db38c61-1c3a-4590-ab7d-f260dc77a908 · outbound

This paper cites Retrieval augmented language model pre-training.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Retrieval augmented language model pre-training

Reference 19

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Observation 4465df53-6a2c-4194-9886-994f0c0e25aa · outbound

This paper cites Iron: Private infer- ence on transformers.Advances in neural information processing systems, 35:15718–15731, 2022.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Iron: Private infer- ence on transformers.Advances in neural information processing systems, 35:15718–15731, 2022

Reference 20

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Observation 216d9d24-a501-4de7-9fa6-8e340be7e7d7 · outbound

This paper cites Independent component analysis: algorithms and applications.Neural networks, 13(4-5):411–430, 2000.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Independent component analysis: algorithms and applications.Neural networks, 13(4-5):411–430, 2000

Reference 21

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Observation 726ab76a-d52d-45bc-a8e1-1d3bddab72a5 · outbound

This paper cites Leveraging pas- sage retrieval with generative models for open domain question answering.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Leveraging pas- sage retrieval with generative models for open domain question answering

Reference 22

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This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Quantization and training of neural networks for efficient integer-arithmetic-only inference

Reference 23

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This paper cites Billion- scale similarity search with gpus.IEEE transactions on big data, 7(3):535–547, 2019.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Billion- scale similarity search with gpus.IEEE transactions on big data, 7(3):535–547, 2019

Reference 24

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Observation cf8f58e2-789b-4c6f-a00f-b085320c8993 · outbound

This paper cites Generalization through Memorization: Nearest Neighbor Language Models.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Generalization through Memorization: Nearest Neighbor Language Models

Reference 25

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Observation 0d0b1b35-32f6-4581-8e31-47bba29226e4 · outbound

This paper cites Crypten: Secure multi-party computation meets machine learning.Advances in Neural Information Pro- cessing Systems, 34:4961–4973, 2021.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Crypten: Secure multi-party computation meets machine learning.Advances in Neural Information Pro- cessing Systems, 34:4961–4973, 2021

Reference 26

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This paper cites PhD thesis, UC Berkeley, 2025.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG PhD thesis, UC Berkeley, 2025

Reference 27

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This paper cites Fast inference from transformers via speculative decoding.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Fast inference from transformers via speculative decoding

Reference 28

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This paper cites Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Retrieval-augmented generation for knowledge- intensive nlp tasks.Advances in neural information processing systems, 33:9459–9474, 2020

Reference 29

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This paper cites Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges

Reference 30

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Ministral 3

Reference 31

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This paper cites Ring Attention with Blockwise Transformers for Near-Infinite Context.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Ring Attention with Blockwise Transformers for Near-Infinite Context

Reference 32

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This paper cites Shadow in the cache: Unveiling and mitigating privacy risks of kv-cache in llm inference.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Shadow in the cache: Unveiling and mitigating privacy risks of kv-cache in llm inference

Reference 33

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Ambigqa: Answering ambiguous open-domain questions

Reference 34

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This paper cites Text embeddings reveal (al- most) as much as text.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Text embeddings reveal (al- most) as much as text

Reference 35

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This paper cites Training language models to follow instructions with human feedback.Advances in neural information pro- cessing systems, 35:27730–27744, 2022.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Training language models to follow instructions with human feedback.Advances in neural information pro- cessing systems, 35:27730–27744, 2022

Reference 36

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This paper cites Public-key cryptosystems based on com- posite degree residuosity classes.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Public-key cryptosystems based on com- posite degree residuosity classes

Reference 37

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This paper cites Unifying large language mod- els and knowledge graphs: A roadmap.IEEE Transac- tions on Knowledge and Data Engineering, 36(7):3580– 3599, 2024.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Unifying large language mod- els and knowledge graphs: A roadmap.IEEE Transac- tions on Knowledge and Data Engineering, 36(7):3580– 3599, 2024

Reference 38

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This paper cites Bolt: Privacy-preserving, accu- rate and efficient inference for transformers.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Bolt: Privacy-preserving, accu- rate and efficient inference for transformers

Reference 39

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Squad: 100,000+ questions for machine comprehension of text

Reference 40

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This paper cites Trusted execution environment: What it is, and what it is not.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Trusted execution environment: What it is, and what it is not

Reference 41

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This paper cites Large language models encode clinical knowledge.Na- ture, 620(7972):172–180, 2023.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Large language models encode clinical knowledge.Na- ture, 620(7972):172–180, 2023

Reference 42

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This paper cites On the limitations of unsupervised bilingual dictionary in- duction.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG On the limitations of unsupervised bilingual dictionary in- duction

Reference 43

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Hidden no more: Attacking and defending private third-party llm inference

Reference 44

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This paper cites Musique: Multihop questions via single-hop question composition.Transactions of the Association for Computational Linguistics, 10:539– 554, 2022.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Musique: Multihop questions via single-hop question composition.Transactions of the Association for Computational Linguistics, 10:539– 554, 2022

Reference 45

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

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 46

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Milvus: A purpose- built vector data management system

Reference 47

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This paper cites arXiv preprint arXiv:2502.14822 , year=.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG arXiv preprint arXiv:2502.14822 , year=

Reference 48

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Qwen3 Technical Report

Reference 49

Resolution: verified exact; local_arxiv, observed 2026-06-29T21:53:59.064941Z

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Observation ab087c2c-5e50-4cd4-aa6a-db66b2094547 · outbound

This paper cites Parallelizing linear transformers with the delta rule over sequence length.Advances in neu- ral information processing systems, 37:115491–115522, 2024.

An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Parallelizing linear transformers with the delta rule over sequence length.Advances in neu- ral information processing systems, 37:115491–115522, 2024

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Hotpotqa: A dataset for diverse, ex- plainable multi-hop question answering

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Pre- trained transformers for text ranking: Bert and beyond

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Scx: Stateless kv-cache encoding for cloud-scale confidential trans- former serving

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Pri- vacyrestore: Privacy-preserving inference in large lan- guage models via privacy removal and restoration

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG mgte: Generalized long- context text representation and reranking models for multilingual text retrieval

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Siren’s song in the ai ocean: A survey on hallucination in large language models.Computa- tional Linguistics, 51(4):1373–1418, 2025

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Retrieval-augmented generation for ai-generated content: A survey.Data Science and Engineering, pages 1–29, 2026

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG A Survey of Large Language Models

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG PermLLM: Private Inference of Large Language Models within 3 Seconds under WAN

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG A review on edge large language models: Design, execution, and applications

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Qmsum: A new bench- mark for query-based multi-domain meeting summa- rization

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An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG Training lan- guage models with memory augmentation

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Pith citing papers

Observation ecfcb498-678f-44cf-afed-19a92f8d6181 · inbound

When Latent Agents Lie: KV-Cache Integrity in Multi-Agent LLM Collaboration cites this paper.

When Latent Agents Lie: KV-Cache Integrity in Multi-Agent LLM Collaboration An Efficient and Privacy-Preserving Architecture for Cross-Institutional Collaborative RAG

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