Paper Citation Record · LEDGER

AAFLOW: Scalable Patterns for Agentic AI Workflows

As of 3 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.

pith.paper-citation-record.v1
2605.02162 v1

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T17:24:16.645107Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T07:51:15.549754Z

measured 0 of 1 external citation measurements

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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+00:00.

Observation 7509212a-c1ce-412a-be59-f5707b489fa1 · outbound

This paper cites [Online].

AAFLOW: Scalable Patterns for Agentic AI Workflows [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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+00:00.

Observation 5a2fb825-f67e-4e3d-8e0b-b1ac2eeea595 · outbound

This paper cites [Online].

AAFLOW: Scalable Patterns for Agentic AI Workflows [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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+00:00.

Observation 68698627-cb03-4e64-97dc-7b99d77baa6e · outbound

This paper cites Higress.

AAFLOW: Scalable Patterns for Agentic AI Workflows 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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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 2026-08-03T06:30:56.289259+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

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+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

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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

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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

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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

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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

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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

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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

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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

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No event found in the named queried sources as of 2026-08-03T06:30:56.289259+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

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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

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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

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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

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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

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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

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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

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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

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