Paper Citation Record · LEDGER

syftr: Pareto-Optimal Generative AI

As of 9 August 2026, this Paper Citation Record lists 76 of 76 outbound references and 2 inbound Pith citation observations for arXiv:2505.20266.

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

pith.paper-citation-record.v1
2505.20266 v1

Coverage vector

measured 76 of 76 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:59:51.806810Z

measured 78 of 78 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T11:07:31.861143Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T11:24:38.808622Z

Reference resolution

76 of 76 outbound references displayed

verified exact0
verified fuzzy52
unresolved24
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 995d4abd-f6d5-4b83-a472-5a3e04501e40 · outbound

This paper cites Retrieval-augmented generation for knowledge-intensive nlp tasks, 2021.

syftr: Pareto-Optimal Generative AI Retrieval-augmented generation for knowledge-intensive nlp tasks, 2021

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:00.765966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 199de09e-1b4e-48a0-84bb-818fc6484f32 · outbound

This paper cites Retrieval augmenta- tion reduces hallucination in conversation.

syftr: Pareto-Optimal Generative AI Retrieval augmenta- tion reduces hallucination in conversation

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:00.624270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9a521cc4-586d-496a-b09c-b9ec234d0bde · outbound

This paper cites Realm: retrieval- syftr 11 augmented language model pre-training.

syftr: Pareto-Optimal Generative AI Realm: retrieval- syftr 11 augmented language model pre-training

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:00.556722Z

Source-reported events for the cited work

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Observation 9eb7f412-3e4b-4dc7-a384-2353f4d09d23 · outbound

This paper cites Improving language models by retrieving from trillions of tokens.

syftr: Pareto-Optimal Generative AI Improving language models by retrieving from trillions of tokens

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:00.449026Z

Source-reported events for the cited work

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Observation 8828bde9-97e7-42d0-8895-36182a52af2d · outbound

This paper cites LangChain, October 2022.

syftr: Pareto-Optimal Generative AI LangChain, October 2022

Reference 5

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Source-reported events for the cited work

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Observation 092059da-7689-431c-9c4a-8774ef47a6bd · outbound

This paper cites Autogen: Enabling next-gen llm applications via multi-agent conversation, 2023.

syftr: Pareto-Optimal Generative AI Autogen: Enabling next-gen llm applications via multi-agent conversation, 2023

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:47.256879Z

Source-reported events for the cited work

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Observation c9e5c769-cbeb-41d1-853a-15b3a4bc352f · outbound

This paper cites Haystack: the end-to-end NLP framework for pragmatic builders, November 2019.

syftr: Pareto-Optimal Generative AI Haystack: the end-to-end NLP framework for pragmatic builders, November 2019

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:00.335913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3358227e-5919-4797-93ee-8cd26705c4f2 · outbound

This paper cites crewAI: Collaborative Research and Workflows AI, 2023.

syftr: Pareto-Optimal Generative AI crewAI: Collaborative Research and Workflows AI, 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:00.256369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8f56ac98-12fc-48a4-a346-fa179ce55866 · outbound

This paper cites LlamaIndex, November 2022.

syftr: Pareto-Optimal Generative AI LlamaIndex, November 2022

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:00.138865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0b2b353e-358f-41bc-b243-35556984a618 · outbound

This paper cites Approximate nearest neighbor search in high dimensions, 2018.

syftr: Pareto-Optimal Generative AI Approximate nearest neighbor search in high dimensions, 2018

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:00:00.000725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4e02dc95-6b0d-40cd-9dd1-6b156d703552 · outbound

This paper cites Mteb: Massive text embedding benchmark, 2023.

syftr: Pareto-Optimal Generative AI Mteb: Massive text embedding benchmark, 2023

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:59.919875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a6f5d13a-931c-4d6b-a08b-9d2fcab34774 · outbound

This paper cites Chonkie: A fast feature-full chunking library for rag bots.

syftr: Pareto-Optimal Generative AI Chonkie: A fast feature-full chunking library for rag bots

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:59.855469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 28b670ae-7b95-4c15-9647-089e855592eb · outbound

This paper cites The probabilistic relevance framework: Bm25 and beyond.

syftr: Pareto-Optimal Generative AI The probabilistic relevance framework: Bm25 and beyond

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:59.732630Z

Source-reported events for the cited work

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Observation 18764bb6-44f2-4b4d-8e88-343514ab4b50 · outbound

This paper cites Rag-fusion: A new take on retrieval augmented generation.

syftr: Pareto-Optimal Generative AI Rag-fusion: A new take on retrieval augmented generation

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:59.615815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 65cc7c46-ec49-45ff-a148-73978872f9a7 · outbound

This paper cites Pinecone: A vector database for machine learning applications, 2025.

syftr: Pareto-Optimal Generative AI Pinecone: A vector database for machine learning applications, 2025

Reference 15

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Source-reported events for the cited work

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Observation 14f05be3-01aa-40e4-927f-7818b135406c · outbound

This paper cites The faiss library, 2024.

syftr: Pareto-Optimal Generative AI The faiss library, 2024

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:59.253694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d9836632-2ed3-4e97-bd58-042cbcb6ccb2 · outbound

This paper cites Neo4j: The World’s Leading Graph Database.

syftr: Pareto-Optimal Generative AI Neo4j: The World’s Leading Graph Database

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:59.060133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d0428f33-b313-4e00-ae45-98d93fc9f1d2 · outbound

This paper cites Agentic retrieval- augmented generation for time series analysis, 2024.

syftr: Pareto-Optimal Generative AI Agentic retrieval- augmented generation for time series analysis, 2024

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:58.824579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 35f4ddb4-5ee8-4fd8-9b62-20b3d0cc920d · outbound

This paper cites Building a rag pipeline is difficult, 2024.

syftr: Pareto-Optimal Generative AI Building a rag pipeline is difficult, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:58.737544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a0b8e1da-dbf4-43e8-9041-1768e8e35f69 · outbound

This paper cites Large language models are better reasoners with self-verification, 2023.

syftr: Pareto-Optimal Generative AI Large language models are better reasoners with self-verification, 2023

Reference 20

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Source-reported events for the cited work

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Observation 9ad522b2-f168-4cc3-87e7-4d83577e0d14 · outbound

This paper cites Precise zero-shot dense retrieval without relevance labels, 2022.

syftr: Pareto-Optimal Generative AI Precise zero-shot dense retrieval without relevance labels, 2022

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:58.548992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 845d5855-028c-4052-a9e4-b74c88806be8 · outbound

This paper cites Re2g: Retrieve, rerank, generate, 2022.

syftr: Pareto-Optimal Generative AI Re2g: Retrieve, rerank, generate, 2022

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:58.404067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dff8469f-17b9-4cc1-a41a-bb33870807db · outbound

This paper cites Scaling llm test-time compute optimally can be more effective than scaling model parameters, 2024.

syftr: Pareto-Optimal Generative AI Scaling llm test-time compute optimally can be more effective than scaling model parameters, 2024

Reference 23

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Source-reported events for the cited work

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Observation 273f91dd-72b9-4007-b9af-cec4002f514e · outbound

This paper cites Convex Optimization.

syftr: Pareto-Optimal Generative AI Convex Optimization

Reference 24

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Source-reported events for the cited work

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Observation 0f34bf25-1e0f-456e-947d-4e72e521eccc · outbound

This paper cites Bayesian Optimization.

syftr: Pareto-Optimal Generative AI Bayesian Optimization

Reference 25

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Source-reported events for the cited work

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Observation 52b34707-b99b-4521-ab90-98a92e77b789 · outbound

This paper cites Automated Machine Learning - Methods, Systems, Challenges.

syftr: Pareto-Optimal Generative AI Automated Machine Learning - Methods, Systems, Challenges

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:58.259774Z

Source-reported events for the cited work

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Observation d3e19857-a0f4-4ef7-84bb-b311dc520cef · outbound

This paper cites Auto-sklearn 2.0: Hands-free automl via meta-learning, 2022.

syftr: Pareto-Optimal Generative AI Auto-sklearn 2.0: Hands-free automl via meta-learning, 2022

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:58.113062Z

Source-reported events for the cited work

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Observation 002dcf6d-df1a-4fc0-bb67-33f5ee451c96 · outbound

This paper cites Datarobot: Automated machine learning, 2012.

syftr: Pareto-Optimal Generative AI Datarobot: Automated machine learning, 2012

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:57.953681Z

Source-reported events for the cited work

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Observation 9a54dceb-814a-4466-90ca-93d81d9f3ddb · outbound

This paper cites On hyperparameter optimization of machine learning algorithms: Theory and practice.

syftr: Pareto-Optimal Generative AI On hyperparameter optimization of machine learning algorithms: Theory and practice

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8573372d-fa14-449f-a803-10c14e089f3b · outbound

This paper cites Neural architecture search: Insights from 1000 papers, 2023.

syftr: Pareto-Optimal Generative AI Neural architecture search: Insights from 1000 papers, 2023

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:57.496274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 01d13afe-19c9-4c7b-9a41-0c0306de9e92 · outbound

This paper cites Litetransform- ersearch: Training-free neural architecture search for efficient language models.

syftr: Pareto-Optimal Generative AI Litetransform- ersearch: Training-free neural architecture search for efficient language models

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:57.296000Z

Source-reported events for the cited work

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Observation c8bcb3a5-9d33-4953-a557-cd707a4224ab · outbound

This paper cites Advancing the accuracy-efficiency frontier with llama 3.1 and nemotron 51b, 2024.

syftr: Pareto-Optimal Generative AI Advancing the accuracy-efficiency frontier with llama 3.1 and nemotron 51b, 2024

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:57.011096Z

Source-reported events for the cited work

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Observation 78cc0303-0340-4bcd-a48a-2d01799331ed · outbound

This paper cites Autorag: Automated framework for optimization of retrieval augmented generation pipeline, 2024.

syftr: Pareto-Optimal Generative AI Autorag: Automated framework for optimization of retrieval augmented generation pipeline, 2024

Reference 33

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Observation ce1da914-f54e-4217-820b-82ae426db07a · outbound

This paper cites Learning In Modular Systems.

syftr: Pareto-Optimal Generative AI Learning In Modular Systems

Reference 34

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Observation 2575748e-6f6c-4b9f-b209-ca3e80d02512 · outbound

This paper cites Metareasoning in modular software systems: On-the-fly configuration using reinforcement learning with rich contextual representations.

syftr: Pareto-Optimal Generative AI Metareasoning in modular software systems: On-the-fly configuration using reinforcement learning with rich contextual representations

Reference 35

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Observation e3e865dd-64c1-489d-9cb6-1aba571b13aa · outbound

This paper cites Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts.

syftr: Pareto-Optimal Generative AI Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:56.195222Z

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Observation 2c9dee95-58e3-430a-bc22-dda93e5a2578 · outbound

This paper cites Trace is the next autodiff: Generative optimization with rich feedback, execution traces, and llms, 2024.

syftr: Pareto-Optimal Generative AI Trace is the next autodiff: Generative optimization with rich feedback, execution traces, and llms, 2024

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:55.996808Z

Source-reported events for the cited work

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Observation 8f0ce5b0-a0fb-40d1-a120-c140725a3b51 · outbound

This paper cites TextGrad: Automatic "Differentiation" via Text.

syftr: Pareto-Optimal Generative AI TextGrad: Automatic "Differentiation" via Text

Reference 38

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Observation d1440616-81bc-40b9-aae4-c599b3cb454b · outbound

This paper cites Le, Denny Zhou, and Xinyun Chen.

syftr: Pareto-Optimal Generative AI Le, Denny Zhou, and Xinyun Chen

Reference 39

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Source-reported events for the cited work

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Observation e715c4a7-8da2-4488-873a-f12c12c189a8 · outbound

This paper cites Parameswaran, and Eugene Wu.

syftr: Pareto-Optimal Generative AI Parameswaran, and Eugene Wu

Reference 40

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Observation 8debd2f4-ae34-472f-a10c-7803e62d694a · outbound

This paper cites The cascades framework for query optimization.

syftr: Pareto-Optimal Generative AI The cascades framework for query optimization

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:55.502216Z

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Observation e22c9cb0-9245-464d-ae6d-94f8156d9c0e · outbound

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syftr: Pareto-Optimal Generative AI Unresolved cited work

Reference 42

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This paper cites Critic: Large language models can self-correct with tool-interactive critiquing, 2024.

syftr: Pareto-Optimal Generative AI Critic: Large language models can self-correct with tool-interactive critiquing, 2024

Reference 43

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This paper cites React: Synergizing reasoning and acting in language models, 2023.

syftr: Pareto-Optimal Generative AI React: Synergizing reasoning and acting in language models, 2023

Reference 44

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Source-reported events for the cited work

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Observation a56493c7-f9d4-4086-bf25-944e663b4417 · outbound

This paper cites Lan- guage agent tree search unifies reasoning, acting, and planning in language models.

syftr: Pareto-Optimal Generative AI Lan- guage agent tree search unifies reasoning, acting, and planning in language models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:55.104309Z

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Observation 97e81103-4aa4-4746-a62d-35297906ee71 · outbound

This paper cites Accessed: 2025-01-15.

syftr: Pareto-Optimal Generative AI Accessed: 2025-01-15

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:54.831021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 91251426-1c5a-4eca-a962-d5b65129ce47 · outbound

This paper cites Multiobjective tree- structured parzen estimator for computationally expensive optimization problems.

syftr: Pareto-Optimal Generative AI Multiobjective tree- structured parzen estimator for computationally expensive optimization problems

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:54.593414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6aee3b42-f5e3-463b-8549-e8d3b0e949aa · outbound

This paper cites Multi- objective tree-structured parzen estimator.

syftr: Pareto-Optimal Generative AI Multi- objective tree-structured parzen estimator

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:54.406195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ad74e343-79c4-40bd-af37-3d40bf797b7a · outbound

This paper cites an unresolved cited work.

syftr: Pareto-Optimal Generative AI Unresolved cited work

Reference 49

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Source-reported events for the cited work

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Observation 3e987d18-4e7b-4ffa-a73c-8bae333bd812 · outbound

This paper cites Algorithms for hyper-parameter optimization.

syftr: Pareto-Optimal Generative AI Algorithms for hyper-parameter optimization

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:54.132970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 00a448a3-dc73-48fb-a77c-e0ea02efae7e · outbound

This paper cites Optuna: A next-generation hyperparameter optimization framework, 2019.

syftr: Pareto-Optimal Generative AI Optuna: A next-generation hyperparameter optimization framework, 2019

Reference 51

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Source-reported events for the cited work

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Observation 28e688df-b0c5-4724-b108-72bdc7d8111f · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

syftr: Pareto-Optimal Generative AI HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:50.314921Z

Source-reported events for the cited work

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Observation ca7bb70a-200a-4478-96cb-eaac61b5ae88 · outbound

This paper cites FinanceBench: A New Benchmark for Financial Question Answering.

syftr: Pareto-Optimal Generative AI FinanceBench: A New Benchmark for Financial Question Answering

Reference 53

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Observation d5294252-475f-471f-8dac-589823b062df · outbound

This paper cites CRAG -- Comprehensive RAG Benchmark.

syftr: Pareto-Optimal Generative AI CRAG -- Comprehensive RAG Benchmark

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:50.459606Z

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Observation 1721fc1f-a333-4d96-a9ee-8a0a6a56c4ee · outbound

This paper cites ∞bench: Extending long context evaluation beyond 100k tokens, 2024.

syftr: Pareto-Optimal Generative AI ∞bench: Extending long context evaluation beyond 100k tokens, 2024

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:50.545010Z

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Observation 12693d95-fa50-4bcc-8258-5ba29d973003 · outbound

This paper cites Aryn — document processing for etl, rag, and analytics powered by ai.

syftr: Pareto-Optimal Generative AI Aryn — document processing for etl, rag, and analytics powered by ai

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:54.024845Z

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Observation 448b924c-e001-45be-a8b5-14ea939e6e49 · outbound

This paper cites html2text: Convert html into markdown-formatted text, 2004.

syftr: Pareto-Optimal Generative AI html2text: Convert html into markdown-formatted text, 2004

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:53.865062Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c16de0d0-66f9-4e78-adda-60b8a77aa823 · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

syftr: Pareto-Optimal Generative AI Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:50.741025Z

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Observation ff79056f-6f10-4e40-8146-140ca201ef0a · outbound

This paper cites LLM Evaluators Recognize and Favor Their Own Generations.

syftr: Pareto-Optimal Generative AI LLM Evaluators Recognize and Favor Their Own Generations

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:50.789445Z

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Observation 46b92dbc-1365-4c5d-846f-400e1640dc75 · outbound

This paper cites Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge.

syftr: Pareto-Optimal Generative AI Justice or Prejudice? Quantifying Biases in LLM-as-a-Judge

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:50.841347Z

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Observation b6721535-4bc9-4db3-9ba6-2d09defbde38 · outbound

This paper cites Amazon q.

syftr: Pareto-Optimal Generative AI Amazon q

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:53.701693Z

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Observation 15e9764d-f146-4c7d-b592-e022e7145da4 · outbound

This paper cites Azure OpenAI Assistants (Preview), 2025.

syftr: Pareto-Optimal Generative AI Azure OpenAI Assistants (Preview), 2025

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:53.580386Z

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Observation 596146e3-9046-4cc6-9b86-e2b98df65eae · outbound

This paper cites Magentic-one: A generalist multi-agent system for solving complex tasks.

syftr: Pareto-Optimal Generative AI Magentic-one: A generalist multi-agent system for solving complex tasks

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:53.467208Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 94061d7c-a202-4e52-952c-f70f8a740dd3 · outbound

This paper cites Adaptive in-conversation team building for language model agents, 2024.

syftr: Pareto-Optimal Generative AI Adaptive in-conversation team building for language model agents, 2024

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:53.333079Z

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Observation c6235957-0c73-4cfd-b503-4032006485c0 · outbound

This paper cites Lightweight reranking for language model generations, 2024.

syftr: Pareto-Optimal Generative AI Lightweight reranking for language model generations, 2024

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:53.073213Z

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Observation bbfc7b59-3387-4674-b8d6-9b85ce9885a6 · outbound

This paper cites Zero-shot listwise document reranking with a large language model, 2023.

syftr: Pareto-Optimal Generative AI Zero-shot listwise document reranking with a large language model, 2023

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:52.915752Z

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Observation 2f61b0c0-e42e-43e8-b810-3b9314655211 · outbound

This paper cites Chain-of-thought prompting elicits reasoning in large language models.

syftr: Pareto-Optimal Generative AI Chain-of-thought prompting elicits reasoning in large language models

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:52.677285Z

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Observation 930b4fc3-6216-4276-a632-e92050030919 · outbound

This paper cites Rethinking the role of demonstrations: What makes in-context learning work?, 2022.

syftr: Pareto-Optimal Generative AI Rethinking the role of demonstrations: What makes in-context learning work?, 2022

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:51.324885Z

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Observation 406c71fa-6fa8-498d-99db-9cd6408455bb · outbound

This paper cites Language models are few-shot learners.

syftr: Pareto-Optimal Generative AI Language models are few-shot learners

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:51.397058Z

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Observation da68f8a8-23c9-483d-84ad-28bde30f9037 · outbound

This paper cites Jordan, and Ion Stoica.

syftr: Pareto-Optimal Generative AI Jordan, and Ion Stoica

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:52.490123Z

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Observation 258e8830-ca50-4f66-b451-8a593f92887e · outbound

This paper cites Gonzalez, and Ion Stoica.

syftr: Pareto-Optimal Generative AI Gonzalez, and Ion Stoica

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:51.543459Z

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Observation e815652e-a253-4ccd-80d2-26debbc28fec · outbound

This paper cites https://github.com/onnx/onnx/ blob/main/docs/IR.md, 2024.

syftr: Pareto-Optimal Generative AI https://github.com/onnx/onnx/ blob/main/docs/IR.md, 2024

Reference 72

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:52.328359Z

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Observation 91fd3a3a-1ac6-4905-8d0b-b9c789244a62 · outbound

This paper cites Bilevel programming for hyperparameter optimization and meta-learning.

syftr: Pareto-Optimal Generative AI Bilevel programming for hyperparameter optimization and meta-learning

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:52.215222Z

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Observation feca5a4d-19d0-4e5c-947c-f5c24b698e44 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

syftr: Pareto-Optimal Generative AI Model-agnostic meta-learning for fast adaptation of deep networks

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:51.711791Z

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Observation 14b3f040-1246-4968-8687-46b2c65a168e · outbound

This paper cites Meta comprehensive rag benchmark - kdd cup 2024.

syftr: Pareto-Optimal Generative AI Meta comprehensive rag benchmark - kdd cup 2024

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:52.087428Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d7beb382-7796-432b-bc5a-5fe44ba1b40f · outbound

This paper cites distractor.

syftr: Pareto-Optimal Generative AI distractor

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:59:51.995250Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation a9c8c68f-9eec-46ae-8fe6-6e12e0862631 · inbound

Natural Language Query to Configuration for Retrieval Agents cites this paper.

Natural Language Query to Configuration for Retrieval Agents syftr: Pareto-Optimal Generative AI

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-06-29T17:53:47.651781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53f385e5-d021-4225-afd9-fd9d61fe58d2 · inbound

CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval cites this paper.

CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval syftr: Pareto-Optimal Generative AI

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:24:38.809966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.