Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-08T17:24:16.645107Z
Paper Citation Record · LEDGER
AAFLOW: Scalable Patterns for Agentic AI Workflows
As of 2 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 1 inbound Pith citation observation for arXiv:2605.02162.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-02T06:30:47.504484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-14T07:51:15.549754Z
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
66 of 66 outbound references displayed
- verified exact27
- verified fuzzy35
- unresolved0
- parse uncertain0
- malformed identifier1
- metadata mismatch3
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6262d467-f1b4-4798-9d3d-e3fe8c67f793 · outbound
This paper cites Rethinking Testing for LLM Applications: Characteristics, Challenges, and a Lightweight Interaction Protocol.
AAFLOW: Scalable Patterns for Agentic AI Workflows Rethinking Testing for LLM Applications: Characteristics, Challenges, and a Lightweight Interaction Protocol
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:36:06.490183Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 603f6c06-1d20-4ab2-a273-83c3beb31ce9 · outbound
This paper cites What is llamaindex ?.
AAFLOW: Scalable Patterns for Agentic AI Workflows What is llamaindex ?
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.657602Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation d2e91725-a3c2-495c-868e-932a121b5928 · outbound
This paper cites Available: https://www .ibm.com/think/topics/llamaindex.
AAFLOW: Scalable Patterns for Agentic AI Workflows Available: https://www .ibm.com/think/topics/llamaindex
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.661268Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 91a8a50e-253c-42be-bd93-82ff3d74526e · outbound
This paper cites Optimize vector databases, enhance rag-driven generative ai.
AAFLOW: Scalable Patterns for Agentic AI Workflows Optimize vector databases, enhance rag-driven generative ai
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.653788Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 7fc1bd7e-965c-4758-993f-cab7612d942f · outbound
This paper cites Performance comparison of dask and apache spark on hpc systems for neuroimaging.
AAFLOW: Scalable Patterns for Agentic AI Workflows Performance comparison of dask and apache spark on hpc systems for neuroimaging
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.649609Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 8e859c01-4cf2-4763-a206-dfb489719790 · outbound
This paper cites Available: https://doi.org/10.1002/cpe.7635.
AAFLOW: Scalable Patterns for Agentic AI Workflows Available: https://doi.org/10.1002/cpe.7635
Reference 6
- Resolution
- verified exact
- doi, observed 2026-05-08T20:09:07.583401Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation f32512f5-d847-4cc6-950d-539677446af2 · outbound
This paper cites Dataflow: An llm-driven framework for unified data preparation and workflow automation in the era of data-centric ai.
AAFLOW: Scalable Patterns for Agentic AI Workflows Dataflow: An llm-driven framework for unified data preparation and workflow automation in the era of data-centric ai
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:36:06.485772Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 1a94449e-6bd3-41ce-a491-c87e08021c78 · outbound
This paper cites High performance dataframes from parallel processing patterns.
AAFLOW: Scalable Patterns for Agentic AI Workflows High performance dataframes from parallel processing patterns
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.554630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation cd01f63f-109f-4066-8059-b2496dd2be30 · outbound
This paper cites On the reproducibility limitations of rag systems.
AAFLOW: Scalable Patterns for Agentic AI Workflows On the reproducibility limitations of rag systems
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T20:09:07.560896Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation e17e47d4-fe0d-4767-b934-13f294a16087 · outbound
This paper cites Simplify your rag application architecture with llamain- dex + postgresml.
AAFLOW: Scalable Patterns for Agentic AI Workflows Simplify your rag application architecture with llamain- dex + postgresml
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.595294Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 693eea7e-97f7-401e-b5dd-c2bd31ca3663 · outbound
This paper cites How to achieve 10x perfor- mance with vector database for llm using lancedb and pyarrow.
AAFLOW: Scalable Patterns for Agentic AI Workflows How to achieve 10x perfor- mance with vector database for llm using lancedb and pyarrow
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.575272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 9701daf8-5f69-4174-9897-e6c62996eadd · outbound
This paper cites Radical-pilot and parsl: Executing heterogeneous workflows on hpc platforms.
AAFLOW: Scalable Patterns for Agentic AI Workflows Radical-pilot and parsl: Executing heterogeneous workflows on hpc platforms
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T20:09:07.531372Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation e90ae3a1-4996-44b6-8e2f-027102faa289 · outbound
This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.
AAFLOW: Scalable Patterns for Agentic AI Workflows Retrieval-augmented generation for knowledge-intensive nlp tasks
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.558854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 3141fca8-44ef-4223-921a-f2ce7a259fa8 · outbound
This paper cites React: Synergizing reasoning and acting in language models.
AAFLOW: Scalable Patterns for Agentic AI Workflows React: Synergizing reasoning and acting in language models
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.544614Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 2e33a63c-ed40-4b04-9e41-d48a6f19e2ee · outbound
This paper cites Available: https://openreview .net/pdf?id=WE_vluYUL-X.
AAFLOW: Scalable Patterns for Agentic AI Workflows Available: https://openreview .net/pdf?id=WE_vluYUL-X
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.614791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 534b5295-dec5-4e79-8653-9c7dba8c6809 · outbound
This paper cites Reflexion: language agents with verbal reinforcement learning.
AAFLOW: Scalable Patterns for Agentic AI Workflows Reflexion: language agents with verbal reinforcement learning
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T20:09:07.435990Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 5b2f3097-de55-449f-bcac-ccf0ccbaa1db · outbound
This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks.
AAFLOW: Scalable Patterns for Agentic AI Workflows Retrieval-augmented generation for knowledge-intensive nlp tasks
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T20:09:07.486238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 1922bd65-37fd-4c8e-8b03-9b019fb90a8c · outbound
This paper cites Accelerating embarrassingly parallel algorithm on intel mic.
AAFLOW: Scalable Patterns for Agentic AI Workflows Accelerating embarrassingly parallel algorithm on intel mic
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T20:09:07.409941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation e529c97d-c691-4ce6-88eb-f7e722c695c3 · outbound
This paper cites Ucx: An open source framework for hpc network apis and beyond.
AAFLOW: Scalable Patterns for Agentic AI Workflows Ucx: An open source framework for hpc network apis and beyond
Reference 19
- Resolution
- verified exact
- doi, observed 2026-05-08T20:09:07.524461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation fbba8747-4463-4c5a-a855-6b0982b201ad · outbound
This paper cites Mpi for python.
AAFLOW: Scalable Patterns for Agentic AI Workflows Mpi for python
Reference 20
- Resolution
- verified exact
- doi, observed 2026-05-08T20:09:07.421229Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation fa26aa9c-61d2-4586-9005-13954dd1419e · outbound
This paper cites High performance data engineering everywhere.
AAFLOW: Scalable Patterns for Agentic AI Workflows High performance data engineering everywhere
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T20:09:07.516690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation b937d7ef-4a9c-4bd5-b50d-da2b60251d6e · outbound
This paper cites In-depth analysis on parallel processing patterns for high-performance dataframes.
AAFLOW: Scalable Patterns for Agentic AI Workflows In-depth analysis on parallel processing patterns for high-performance dataframes
Reference 22
- Resolution
- verified exact
- doi, observed 2026-05-08T20:09:07.472345Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 9562d67f-d484-4f8a-bd34-3f683431628d · outbound
This paper cites Deep rc: A scalable data engineering and deep learning pipeline.
AAFLOW: Scalable Patterns for Agentic AI Workflows Deep rc: A scalable data engineering and deep learning pipeline
Reference 23
- Resolution
- verified exact
- doi, observed 2026-05-08T20:09:07.567449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation fc648be5-08e4-4e29-bb7e-909d19eba904 · outbound
This paper cites Available: https://arxiv.org/abs/2512.20795.
AAFLOW: Scalable Patterns for Agentic AI Workflows Available: https://arxiv.org/abs/2512.20795
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:36:06.477810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation b4ee0b3c-a5f5-43a7-862c-5ba6427b0bd8 · outbound
This paper cites Architecture.
AAFLOW: Scalable Patterns for Agentic AI Workflows Architecture
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.567576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation a3b0eb5c-23f8-4e52-8719-0742f24da22b · outbound
This paper cites Radical-cylon: A heterogeneous data pipeline for scientific computing.
AAFLOW: Scalable Patterns for Agentic AI Workflows Radical-cylon: A heterogeneous data pipeline for scientific computing
Reference 27
- Resolution
- verified exact
- doi, observed 2026-05-08T20:09:07.509586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 242511ea-4629-476f-b3cd-743f91e9696e · outbound
This paper cites Design and performance characterization of radical-pilot on leadership-class platforms.
AAFLOW: Scalable Patterns for Agentic AI Workflows Design and performance characterization of radical-pilot on leadership-class platforms
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T20:09:07.492159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 4f767713-36f3-4708-8991-4b8a1cdfec47 · outbound
This paper cites Gloo: Collective communications library with various primitives for multi-machine training.
AAFLOW: Scalable Patterns for Agentic AI Workflows Gloo: Collective communications library with various primitives for multi-machine training
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.525729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 190801ce-5457-42ee-ad76-042308f506ef · outbound
This paper cites Combining serverless and high-performance computing paradigms to support ml data-intensive applications.
AAFLOW: Scalable Patterns for Agentic AI Workflows Combining serverless and high-performance computing paradigms to support ml data-intensive applications
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.587042Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 8184da97-a43b-4c1b-87d9-5473b895efbe · outbound
This paper cites Bernstam, Martin J Citardi, and Hua Xu.
AAFLOW: Scalable Patterns for Agentic AI Workflows Bernstam, Martin J Citardi, and Hua Xu
Reference 31
- Resolution
- malformed identifier
- arxiv_id, observed 2026-05-11T17:36:06.474000Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation fb82ca8f-168f-437e-8738-5a2a2d9348ad · outbound
This paper cites Supercharging distributed computing environments for high-performance data engineering.
AAFLOW: Scalable Patterns for Agentic AI Workflows Supercharging distributed computing environments for high-performance data engineering
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T20:09:07.505159Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation a7cb1ef0-77f7-4431-8f9c-b1c7398dff2a · outbound
This paper cites Context rot: How increasing input tokens impacts llm performance.
AAFLOW: Scalable Patterns for Agentic AI Workflows Context rot: How increasing input tokens impacts llm performance
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.591138Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 5cb1e164-f34c-472c-86b5-6b9842b7380f · outbound
This paper cites Generative benchmarking.
AAFLOW: Scalable Patterns for Agentic AI Workflows Generative benchmarking
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.641533Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation df02d4e9-9819-419f-840c-09d8243c1ac1 · outbound
This paper cites Billion-scale similarity search with GPUs.
AAFLOW: Scalable Patterns for Agentic AI Workflows Billion-scale similarity search with GPUs
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T20:09:07.452071Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 27da2dc2-0c03-42a0-a9be-962cb68ed08f · outbound
This paper cites Llamaindex: Data framework for connecting large language models to data.
AAFLOW: Scalable Patterns for Agentic AI Workflows Llamaindex: Data framework for connecting large language models to data
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.632646Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 4887839f-54ad-4009-a2db-5d34b29107f9 · outbound
This paper cites Evaluating chunking strategies for retrieval.
AAFLOW: Scalable Patterns for Agentic AI Workflows Evaluating chunking strategies for retrieval
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.515452Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 7b5a19b0-77ba-4322-830a-2a4c0e0aac37 · outbound
This paper cites Pinecone: Scalable vector database for machine learning applications.
AAFLOW: Scalable Patterns for Agentic AI Workflows Pinecone: Scalable vector database for machine learning applications
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.571461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation eb3678c2-8c73-415d-9015-05445a67f4c7 · outbound
This paper cites From rag to agents: Building intelligent systems with memory and tools.
AAFLOW: Scalable Patterns for Agentic AI Workflows From rag to agents: Building intelligent systems with memory and tools
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.610262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation b27fd118-fb7b-472b-818f-c078b4ecc653 · outbound
This paper cites Building custom ai workflows using langchain tools.
AAFLOW: Scalable Patterns for Agentic AI Workflows Building custom ai workflows using langchain tools
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.538863Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation dd403100-795c-495a-ab57-170b38cd7c12 · outbound
This paper cites Langgraph: Stateful multi-agent workflows.
AAFLOW: Scalable Patterns for Agentic AI Workflows Langgraph: Stateful multi-agent workflows
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.603304Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 80327400-4aa3-470a-a49a-347c54b97259 · outbound
This paper cites Exploration of llm multi- agent application implementation based on langgraph+ crewai.
AAFLOW: Scalable Patterns for Agentic AI Workflows Exploration of llm multi- agent application implementation based on langgraph+ crewai
Reference 42
- Resolution
- verified exact
- doi, observed 2026-05-08T20:09:07.459854Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 7509212a-c1ce-412a-be59-f5707b489fa1 · outbound
This paper cites [Online].
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.620005Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation a83a2d05-52cf-4029-989f-6f9ea95e72da · outbound
This paper cites Autogen: Enabling next-gen llm applications via multi-agent conversation.
AAFLOW: Scalable Patterns for Agentic AI Workflows Autogen: Enabling next-gen llm applications via multi-agent conversation
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.624330Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation c2b98c87-d731-4fdb-9d7d-a5d0b6516e86 · outbound
This paper cites Ray: A distributed framework for emerging {AI} applications.
AAFLOW: Scalable Patterns for Agentic AI Workflows Ray: A distributed framework for emerging {AI} applications
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.529950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 5a2fb825-f67e-4e3d-8e0b-b1ac2eeea595 · outbound
This paper cites [Online].
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.645054Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation b0526855-fe7b-4fda-a502-e6a095890fc9 · outbound
This paper cites Dask: Parallel computation with blocked algorithms and task scheduling.
AAFLOW: Scalable Patterns for Agentic AI Workflows Dask: Parallel computation with blocked algorithms and task scheduling
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.579121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 950be97a-44d7-42c5-8844-11f59235001d · outbound
This paper cites Higress-rag: A holistic optimization framework for enterprise retrieval-augmented generation via dual hybrid retrieval, adaptive routing, and crag.
AAFLOW: Scalable Patterns for Agentic AI Workflows Higress-rag: A holistic optimization framework for enterprise retrieval-augmented generation via dual hybrid retrieval, adaptive routing, and crag
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:36:06.467932Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 68698627-cb03-4e64-97dc-7b99d77baa6e · outbound
This paper cites Higress.
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.606592Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 7de74b6c-216a-4c70-bfc0-ab922f39e386 · outbound
This paper cites Apache spark: a unified engine for big data processing.
AAFLOW: Scalable Patterns for Agentic AI Workflows Apache spark: a unified engine for big data processing
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.637791Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation eb8b00e7-cab3-41ca-bb53-a39b96024f85 · outbound
This paper cites Apache Spark: A Unified Engine for Big Data Processing.
AAFLOW: Scalable Patterns for Agentic AI Workflows Apache Spark: A Unified Engine for Big Data Processing
Reference 51
- Resolution
- metadata mismatch
- doi, observed 2026-05-08T20:09:07.417067Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 02a3b36b-7353-49cd-b4b3-8f5a58290b03 · outbound
This paper cites Apache flink: Stream and batch processing in a single engine.
AAFLOW: Scalable Patterns for Agentic AI Workflows Apache flink: Stream and batch processing in a single engine
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.550262Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 55941a38-eaca-4f42-837f-fb19d7bb3e7d · outbound
This paper cites Towards scalable dataframe systems.
AAFLOW: Scalable Patterns for Agentic AI Workflows Towards scalable dataframe systems
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T20:09:07.542355Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation ada0e7b0-142a-4b8a-b32b-736313b4c0d3 · outbound
This paper cites Incremental perception on real time 3d data.
AAFLOW: Scalable Patterns for Agentic AI Workflows Incremental perception on real time 3d data
Reference 54
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T20:09:07.576363Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 661f657d-7cad-4fab-b799-7670fd3113b1 · outbound
This paper cites Parsl: Pervasive parallel programming in python.
AAFLOW: Scalable Patterns for Agentic AI Workflows Parsl: Pervasive parallel programming in python
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T20:09:07.465899Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation bb89429d-1833-496e-a004-c4db9ecc2b3b · outbound
This paper cites High-level messaging patterns.
AAFLOW: Scalable Patterns for Agentic AI Workflows High-level messaging patterns
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.599763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation e9a48e16-abef-4761-9a7b-18436c877b4c · outbound
This paper cites Available: https://zguide .zeromq.org/docs/chapter2/ #High-Level-Messaging-Patterns".
AAFLOW: Scalable Patterns for Agentic AI Workflows Available: https://zguide .zeromq.org/docs/chapter2/ #High-Level-Messaging-Patterns"
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.520783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 8f4b4b94-54ef-4f34-8bd8-08504cbf93b5 · outbound
This paper cites Pathways: Asynchronous distributed dataflow for ml.
AAFLOW: Scalable Patterns for Agentic AI Workflows Pathways: Asynchronous distributed dataflow for ml
Reference 58
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:36:06.452265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 4faf7e6e-51d3-4d18-b49b-78374033f2aa · outbound
This paper cites OneFlow: Redesign the Distributed Deep Learning Framework from Scratch.
AAFLOW: Scalable Patterns for Agentic AI Workflows OneFlow: Redesign the Distributed Deep Learning Framework from Scratch
Reference 59
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T17:36:06.461783Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation b46834dc-04bb-46d1-aaeb-4d0e63164f4a · outbound
This paper cites Dspy: Compiling declarative language model calls into self-improving pipelines.
AAFLOW: Scalable Patterns for Agentic AI Workflows Dspy: Compiling declarative language model calls into self-improving pipelines
Reference 60
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.563255Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation cba958ab-dae0-4f51-bfcd-e2a3a109d6ad · outbound
This paper cites and Zhang, Hao and Stoica, Ion , booktitle =.
AAFLOW: Scalable Patterns for Agentic AI Workflows and Zhang, Hao and Stoica, Ion , booktitle =
Reference 61
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-08T20:09:07.399290Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation a5c68d89-cb78-4110-8a54-3598030faa4b · outbound
This paper cites Sglang: efficient execution of structured language model programs.
AAFLOW: Scalable Patterns for Agentic AI Workflows Sglang: efficient execution of structured language model programs
Reference 62
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T20:09:07.442420Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation f8ef0dd0-dc26-45dd-b6fb-a7b70ce1d534 · outbound
This paper cites Memorag: Boosting long context processing with global memory-enhanced retrieval augmentation.
AAFLOW: Scalable Patterns for Agentic AI Workflows Memorag: Boosting long context processing with global memory-enhanced retrieval augmentation
Reference 63
- Resolution
- verified exact
- arxiv_id, observed 2026-05-08T20:09:07.555027Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 5ac532f7-4c7f-46a3-a5da-e6398c2b4b2d · outbound
This paper cites Tuning LLMs by RAG Principles: Towards LLM-native Memory.
AAFLOW: Scalable Patterns for Agentic AI Workflows Tuning LLMs by RAG Principles: Towards LLM-native Memory
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:36:06.456179Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation caf43e4c-780c-4002-b3f4-6b61a2f881aa · outbound
This paper cites From RAG to memory: Non-parametric continual learning for large language models.
AAFLOW: Scalable Patterns for Agentic AI Workflows From RAG to memory: Non-parametric continual learning for large language models
Reference 65
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.534295Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation 9a2a9650-a279-42d6-8581-a3e738978c94 · outbound
This paper cites Cue rag: Dynamic multi-output cue memory under h framework for retrieval-augmented generation.
AAFLOW: Scalable Patterns for Agentic AI Workflows Cue rag: Dynamic multi-output cue memory under h framework for retrieval-augmented generation
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.628718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Observation afbcd2ad-1a1e-4da4-8c9e-2a778d788430 · outbound
This paper cites Available: https://www .sciencedirect.com/science/article/ pii/S0925231225009075.
AAFLOW: Scalable Patterns for Agentic AI Workflows Available: https://www .sciencedirect.com/science/article/ pii/S0925231225009075
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T07:56:54.582958Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-02T06:30:47.504484+00:00.
Pith citing papers
Observation d5911a16-d20f-42be-893d-7cf1418649ae · inbound
[AAFLOW+] Stateful Operator Abstraction with Zero-Copy Distributed KV Cache Orchestration for Multi-Agent Workflows cites this paper.
[AAFLOW+] Stateful Operator Abstraction with Zero-Copy Distributed KV Cache Orchestration for Multi-Agent Workflows AAFLOW: Scalable Patterns for Agentic AI Workflows
Reference 35
- Resolution
- unresolved
- no resolver link, observed 2026-07-14T07:51:15.549754Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.