WindVE: Collaborative CPU-NPU Vector Embedding | Paper Citation Record

Observation 7d48e3e2-a714-482d-93dd-8a708145ddcb · outbound

This paper cites O3 knowledge community,.

WindVE: Collaborative CPU-NPU Vector Embedding O3 knowledge community,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.998887Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9c61294a-c2ae-496d-84a3-e901f2eb00eb · outbound

This paper cites Chatgpt,.

WindVE: Collaborative CPU-NPU Vector Embedding Chatgpt,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.983265Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4ef5936d-56c2-48dc-a211-3622d4b57309 · outbound

This paper cites Improving real-time knowl edge retrieval in large language models with a dns-style hierarchical quer y rag,.

WindVE: Collaborative CPU-NPU Vector Embedding Improving real-time knowl edge retrieval in large language models with a dns-style hierarchical quer y rag,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.968563Z

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Observation d60dfb1a-092e-4b37-8b42-28dfd682a4ac · outbound

This paper cites Ret rieval augmentation reduces hallucination in conversation,.

WindVE: Collaborative CPU-NPU Vector Embedding Ret rieval augmentation reduces hallucination in conversation,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.953062Z

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Observation bf95f96c-8f5f-4775-9f8c-bb48a6d403ea · outbound

This paper cites Bridging the Preference Gap between Retrievers and LLMs.

WindVE: Collaborative CPU-NPU Vector Embedding Bridging the Preference Gap between Retrievers and LLMs

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.498219Z

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Observation dc3d93c4-f1e1-49be-81c1-8cc3e893bc4b · outbound

This paper cites Search- in-the- chain: Towards the accurate, credible and traceable conten t generation for complex knowledge-intensive tasks,.

WindVE: Collaborative CPU-NPU Vector Embedding Search- in-the- chain: Towards the accurate, credible and traceable conten t generation for complex knowledge-intensive tasks,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.938134Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0b0a8082-d567-41c1-934b-571634c7e42b · outbound

This paper cites PaperQA: Retrieval-Augmented Generative Agent for Scientific Research.

WindVE: Collaborative CPU-NPU Vector Embedding PaperQA: Retrieval-Augmented Generative Agent for Scientific Research

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.508906Z

Source-reported events for the cited work

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Observation fabae94d-8ffa-4657-aaeb-eea36ae9668b · outbound

This paper cites IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions.

WindVE: Collaborative CPU-NPU Vector Embedding IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.514058Z

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Observation c388db39-06c5-4737-8576-547f30c8138d · outbound

This paper cites "Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation.

WindVE: Collaborative CPU-NPU Vector Embedding "Knowing When You Don't Know": A Multilingual Relevance Assessment Dataset for Robust Retrieval-Augmented Generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.519758Z

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Observation c93a0cf3-2bb8-479a-a338-a105471e5cfe · outbound

This paper cites Context Embeddings for Efficient Answer Generation in RAG.

WindVE: Collaborative CPU-NPU Vector Embedding Context Embeddings for Efficient Answer Generation in RAG

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.524859Z

Source-reported events for the cited work

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Observation b0ce6a60-41e4-45a2-918a-9116719732cf · outbound

This paper cites Chat2data: An interactive d ata analysis system with rag, vector databases and llms,.

WindVE: Collaborative CPU-NPU Vector Embedding Chat2data: An interactive d ata analysis system with rag, vector databases and llms,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.922788Z

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Observation 44732dfc-e40f-4a62-b95f-d24da9026fe7 · outbound

This paper cites V ectorsearch: Enhancing document retrieval with semantic embeddings and optimized search,.

WindVE: Collaborative CPU-NPU Vector Embedding V ectorsearch: Enhancing document retrieval with semantic embeddings and optimized search,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.906730Z

Source-reported events for the cited work

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Observation 34527eca-063e-47d2-8179-1d13057ccbc8 · outbound

This paper cites A deep learning framewor k for enhancer prediction using word embedding and sequence gene ration,.

WindVE: Collaborative CPU-NPU Vector Embedding A deep learning framewor k for enhancer prediction using word embedding and sequence gene ration,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.890669Z

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Observation 7f1d7503-29fd-494e-9021-06645d54ab67 · outbound

This paper cites Pricing,.

WindVE: Collaborative CPU-NPU Vector Embedding Pricing,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.875150Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 562abb4f-63c9-45fa-834b-1dd0c7e8aaca · outbound

This paper cites Retrieval-Augmented Generation for Large Language Models: A Survey.

WindVE: Collaborative CPU-NPU Vector Embedding Retrieval-Augmented Generation for Large Language Models: A Survey

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.556904Z

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Observation eb5ac68e-7186-4901-ad3c-6db1c631bcf5 · outbound

This paper cites Fast, acc urate, and lightweight memory-enhanced embedding learning frame work for image-text retrieval,.

WindVE: Collaborative CPU-NPU Vector Embedding Fast, acc urate, and lightweight memory-enhanced embedding learning frame work for image-text retrieval,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.859925Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e598cf66-bf02-499e-bad1-281c7f1ff8df · outbound

This paper cites Fa st and accurate network embeddings via very sparse random project ion,.

WindVE: Collaborative CPU-NPU Vector Embedding Fa st and accurate network embeddings via very sparse random project ion,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.566128Z

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Observation fee68ae3-d3c8-41b9-964d-513eaddabea6 · outbound

This paper cites Fast and discr iminative semantic embedding,.

WindVE: Collaborative CPU-NPU Vector Embedding Fast and discr iminative semantic embedding,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.844588Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 06e30600-06ff-48c6-bd80-ef87455e05d5 · outbound

This paper cites Reads2vec: Efﬁcient embedding of raw high-throughput seq uencing reads data,.

WindVE: Collaborative CPU-NPU Vector Embedding Reads2vec: Efﬁcient embedding of raw high-throughput seq uencing reads data,

Reference 19

Resolution: verified exact; raw_fallback, observed 2026-08-16T11:42:32.342004Z

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Observation a8fbdd70-1cdb-48ea-877c-93f9177fe125 · outbound

This paper cites AdaEmbed: Adaptive embeddin g for Large-Scale recommendation models,.

WindVE: Collaborative CPU-NPU Vector Embedding AdaEmbed: Adaptive embeddin g for Large-Scale recommendation models,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.828823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0afb3c4a-7421-4cb2-9fbb-f7ce015d15f7 · outbound

This paper cites Freddy: Fast word embeddings in database systems,.

WindVE: Collaborative CPU-NPU Vector Embedding Freddy: Fast word embeddings in database systems,

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.584535Z

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Observation 25166dff-183d-41ff-be38-f481648afad5 · outbound

This paper cites A fast nearest neighbor search algorithm by nonlinear embedding,.

WindVE: Collaborative CPU-NPU Vector Embedding A fast nearest neighbor search algorithm by nonlinear embedding,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.813947Z

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Observation e3789c7f-540d-4566-a912-e97346fd3ccd · outbound

This paper cites Feature hashing for large scale multitask learning,.

WindVE: Collaborative CPU-NPU Vector Embedding Feature hashing for large scale multitask learning,

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.593860Z

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Observation 13d42e72-dfaa-4412-a43f-39de8f9e2239 · outbound

This paper cites Binary code based hash embedding for web-scale applicatio ns,.

WindVE: Collaborative CPU-NPU Vector Embedding Binary code based hash embedding for web-scale applicatio ns,

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.598564Z

Source-reported events for the cited work

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Observation 5dcf678b-1035-42d3-97c0-1e939e0fecf9 · outbound

This paper cites Compo sitional embeddings using complementary partitions for memory-efﬁ cient recommendation systems,.

WindVE: Collaborative CPU-NPU Vector Embedding Compo sitional embeddings using complementary partitions for memory-efﬁ cient recommendation systems,

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.603026Z

Source-reported events for the cited work

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Observation 60afae33-6b58-4ca7-96d2-052c7390f85d · outbound

This paper cites Cafe: Towards compact, adaptive, and fast embedding for la rge-scale recommendation models,.

WindVE: Collaborative CPU-NPU Vector Embedding Cafe: Towards compact, adaptive, and fast embedding for la rge-scale recommendation models,

Reference 26

Resolution: verified exact; doi, observed 2026-08-16T11:42:31.784656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 34f04391-20db-4b47-ba80-c9d86136c3b3 · outbound

This paper cites Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training.

WindVE: Collaborative CPU-NPU Vector Embedding Colossal-AI: A Unified Deep Learning System For Large-Scale Parallel Training

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.613612Z

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Observation 44fe8133-9bbe-4790-8ae3-946d61852d95 · outbound

This paper cites Efﬁcient memory managem ent for large language model serving with pagedattention,.

WindVE: Collaborative CPU-NPU Vector Embedding Efﬁcient memory managem ent for large language model serving with pagedattention,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.799229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 35c0a8b7-9428-46f4-b525-0a50e3d9c043 · outbound

This paper cites Nvidia triton inference server,.

WindVE: Collaborative CPU-NPU Vector Embedding Nvidia triton inference server,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.783183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 06c9db36-daa7-4d06-9051-ecbfc3cc7250 · outbound

This paper cites Efficient Memory Management for Large Language Model Serving with PagedAttention.

WindVE: Collaborative CPU-NPU Vector Embedding Efficient Memory Management for Large Language Model Serving with PagedAttention

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.628178Z

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Observation 37b71015-fc49-44ad-a645-b19f73ef3b6a · outbound

This paper cites Fast Inference from Transformers via Speculative Decoding.

WindVE: Collaborative CPU-NPU Vector Embedding Fast Inference from Transformers via Speculative Decoding

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.633100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a22022ac-ad40-401b-9c42-b095c51cc807 · outbound

This paper cites Flagembedding,.

WindVE: Collaborative CPU-NPU Vector Embedding Flagembedding,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.767800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 29538b26-4bce-41ad-b848-a16e5de698d6 · outbound

This paper cites A rev iew of parallel heterogeneous computing algorithms in power sy stems,.

WindVE: Collaborative CPU-NPU Vector Embedding A rev iew of parallel heterogeneous computing algorithms in power sy stems,

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.751860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 56f9e4d9-f17c-4ec0-af1a-0a54cefc1180 · outbound

This paper cites Heterogeneous computing (cpu–gpu) for pollution dispersion in an urban environment ,.

WindVE: Collaborative CPU-NPU Vector Embedding Heterogeneous computing (cpu–gpu) for pollution dispersion in an urban environment ,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.735790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d2fe2691-d525-45ad-b9b9-8c720ac30705 · outbound

This paper cites Query processing o n heterogeneous cpu/gpu systems,.

WindVE: Collaborative CPU-NPU Vector Embedding Query processing o n heterogeneous cpu/gpu systems,

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.652069Z

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Observation 7d571ad2-79f4-4c33-8e45-395ff054504b · outbound

This paper cites Efﬁcient processing of image proce ssing applications on cpu/gpu,.

WindVE: Collaborative CPU-NPU Vector Embedding Efﬁcient processing of image proce ssing applications on cpu/gpu,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.718846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f641d786-d576-4e64-8c5e-2d91dfa68eb5 · outbound

This paper cites Distribution of operation s in hetero- geneous computing systems for processing speech signals,.

WindVE: Collaborative CPU-NPU Vector Embedding Distribution of operation s in hetero- geneous computing systems for processing speech signals,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.702255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6f255b82-ab17-482f-aa93-586a6438de5d · outbound

This paper cites Energy-efﬁcie nt resource management for federated edge learning with cpu-gpu hetero geneous computing,.

WindVE: Collaborative CPU-NPU Vector Embedding Energy-efﬁcie nt resource management for federated edge learning with cpu-gpu hetero geneous computing,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.686160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b01286ab-5c91-48af-b1b5-780a92488c29 · outbound

This paper cites Efﬁcient pattern matching on cpu-gpu heterogeneous systems,.

WindVE: Collaborative CPU-NPU Vector Embedding Efﬁcient pattern matching on cpu-gpu heterogeneous systems,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.670538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9603a101-ddf3-4853-9b3c-69a42b25c01b · outbound

This paper cites Cooperative hetero geneous computing for parallel processing on cpu/gpu hybrids,.

WindVE: Collaborative CPU-NPU Vector Embedding Cooperative hetero geneous computing for parallel processing on cpu/gpu hybrids,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.654544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bbd1390e-72de-4395-abce-bcf5122171f9 · outbound

This paper cites Graphvite: A high-perf ormance cpu-gpu hybrid system for node embedding,.

WindVE: Collaborative CPU-NPU Vector Embedding Graphvite: A high-perf ormance cpu-gpu hybrid system for node embedding,

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.679589Z

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Observation 9990155a-14b6-4bca-b2cc-a8aa0aa8f9ea · outbound

This paper cites HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices.

WindVE: Collaborative CPU-NPU Vector Embedding HeteGen: Heterogeneous Parallel Inference for Large Language Models on Resource-Constrained Devices

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.684392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5c863e0-9433-4c22-805c-5265416d95b6 · outbound

This paper cites C-pack: P ackaged resources to advance general chinese embedding,.

WindVE: Collaborative CPU-NPU Vector Embedding C-pack: P ackaged resources to advance general chinese embedding,

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.689153Z

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Observation 250e741c-be62-4bbc-becf-c6d00264d710 · outbound

This paper cites Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents.

WindVE: Collaborative CPU-NPU Vector Embedding Jina Embeddings 2: 8192-Token General-Purpose Text Embeddings for Long Documents

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.693524Z

Source-reported events for the cited work

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Observation f7d0968c-0f9a-4d02-9a7f-2f646c6de948 · outbound

This paper cites Slice-Level Scheduling for High Throughput and Load Balanced LLM Serving.

WindVE: Collaborative CPU-NPU Vector Embedding Slice-Level Scheduling for High Throughput and Load Balanced LLM Serving

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.698219Z

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Unavailable: canonical work link unavailable.

Observation 7346f5ca-c63a-41fe-9c87-c37f943a1cd0 · outbound

This paper cites Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving.

WindVE: Collaborative CPU-NPU Vector Embedding Mooncake: A KVCache-centric Disaggregated Architecture for LLM Serving

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-16T11:42:31.703033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a461a6b-c0cf-4a9a-bbe6-19c05c003707 · outbound

This paper cites Nvidia tesla v100,.

WindVE: Collaborative CPU-NPU Vector Embedding Nvidia tesla v100,

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.628279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d73bd3a6-0f2b-4e74-ad35-dcdbaf168f5d · outbound

This paper cites Intel® xeon® processor e5-2680,.

WindVE: Collaborative CPU-NPU Vector Embedding Intel® xeon® processor e5-2680,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.611665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5b884487-52d6-4e3c-8172-9a7a8cd7632c · outbound

This paper cites Atlas 800 inference server (model: 3000),.

WindVE: Collaborative CPU-NPU Vector Embedding Atlas 800 inference server (model: 3000),

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.596468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 328446cf-0e76-4c9f-a00d-456763368a2e · outbound

This paper cites Atlas 300v pro video analysis card),.

WindVE: Collaborative CPU-NPU Vector Embedding Atlas 300v pro video analysis card),

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.580462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation fe01acd5-5cde-4140-90dd-9d18fe625417 · outbound

This paper cites Huawei kunpeng 920 processorsunleash computing p ower,.

WindVE: Collaborative CPU-NPU Vector Embedding Huawei kunpeng 920 processorsunleash computing p ower,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.565483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9887d051-7811-4fc1-840c-eaba2a4f6d3a · outbound

This paper cites Available: https://www.hikunpeng.com/en/compute/kunpeng920 11.

WindVE: Collaborative CPU-NPU Vector Embedding Available: https://www.hikunpeng.com/en/compute/kunpeng920 11

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:42:32.549381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 68f75e39-9949-4979-86a1-7cf2abf93124 · outbound

This paper cites VectorSearch: Enhancing Document Retrieval with Semantic Embeddings and Optimized Search.

WindVE: Collaborative CPU-NPU Vector Embedding VectorSearch: Enhancing Document Retrieval with Semantic Embeddings and Optimized Search

Reference 2024

Resolution: metadata mismatch; local_arxiv, observed 2026-08-16T11:42:32.451037Z

Source-reported events for the cited work

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