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Paper Citation Record · LEDGER

syftr: Pareto-Optimal Generative AI

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

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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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:47.181513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:47.181513Z digest=sha256:61b5db70e4c3a5a7923ca7c2c4b83a1315aec896130705ab46051243b53a3e17

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:47.256879Z digest=sha256:490acb316f765625e2fb615208863c240c99556cce174e992c06432a7b186e94

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:47.323650Z digest=sha256:bcd3da3003116106227b1f3fa2663f8b17dde54bafcaea376a04ff93cd807d4f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:47.397105Z digest=sha256:50bc707c224cddd3fb3270494418fbcbc721a72fb518bead24d3ec54415c18df

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:47.475867Z digest=sha256:beb52e3bf3871a3663dde9920f0525074f3b64cafba69ead60eaf82cf2674f74

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:47.544830Z digest=sha256:c486f9fcb419e4eeb4e064ba990888208d6ff3227e311bd73f7d15dada7b9ac0

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:47.602318Z digest=sha256:d398183a41bf05dfc065b30a68d2694423e949af7bab0cfb73ae644b16ad69d6

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:47.652038Z digest=sha256:e8bf151e6860984f7d25a07cafd97b02b960add0472c370ce5d4b2329d23bb56

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:47.699979Z digest=sha256:63a163991d78ec4e74abf7bd219bd86a80c3e73504424a5d73201190333db193

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:47.749034Z digest=sha256:7a969ff3cb6221733076c9ec49ac2f70a52c186ff6d7c8021b1b16b306d0f987

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:59.465038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:47.805571Z digest=sha256:5ed4a79314e7117fcbf8bb07420adbb434c02b5ee75bc75e67bfb95aba974935

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:47.856992Z digest=sha256:b8469b39e5501204299e35551b94cfd8ad2f2f19b4a5c39668490a0d0e1e06ce

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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:47.965057Z digest=sha256:83e90366b9b283bad2b90ee974ffcdfcece4b38c3329b3d93a88dadb8768d0ef

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:48.035601Z digest=sha256:2302fea6d80ce6f7c3a0735a4a0e3fcb86215b2603a4097c1a8ad4870305e98b

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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:48.076823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:48.076823Z digest=sha256:86abdc39f19b444067bd773aef4eb2162285f6c701c103676f19935ed528f27a

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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

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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

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:48.265442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:48.265442Z digest=sha256:33245724cc4401c33aaa60594a60f69fe6d25fe64eacdcad0cb3a0b4402a79bd

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

This paper cites Convex Optimization.

syftr: Pareto-Optimal Generative AI Convex Optimization

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:48.343030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:48.343030Z digest=sha256:5fec4117763f57be21cbadd1392b4a7a1e7e1cd2cb77a3246cadcad0e1b91022

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

This paper cites Bayesian Optimization.

syftr: Pareto-Optimal Generative AI Bayesian Optimization

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:48.388187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:48.388187Z digest=sha256:5021f3d56415f9da018a6163c9a7f279dd13e5a0c32762ab378c9cf9d92782f5

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:48.469169Z digest=sha256:8f0be939b457c176eb957b4f34feabb3bc0960a8271ae699e0cf82c82f627d3a

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:48.537773Z digest=sha256:048fccf88a6107cdc8bfc664b78226b58f481b89dcd1f4be9340fa5f0b648ba2

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:48.653708Z digest=sha256:fe52422612c7bd8150931cef3b5fe6f71fe63d5693c2a2094c2ff1a4f253603d

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:57.758229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:48.708112Z digest=sha256:cd37d473f126a8cdc64f53385e76a10dfdf1a00dd0c858bd6f9d8f6410f68074

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:48.790931Z digest=sha256:b6c714241431e3cf7bdfcb2a9668d6778df30caddfee3938a528e48266bb6550

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:48.836458Z digest=sha256:f4e49826862c83091c749fe6fba10ce2d2631e4159d0a0c1bd5e6ca3e6858dab

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

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:48.925991Z digest=sha256:ae63d88bb8389014354489b86b3438db97c092b52d4b4ae99a8f598ae29197d8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:56.751587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:49.001132Z digest=sha256:7bfbb619055e7e884e7e5bfe6ac3ccaf6a6a9bf8915f35638b89def1bdf57947

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:56.566172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:49.071578Z digest=sha256:553b9786afec2abe1ad8016cc6332aff4173a2919439c6b5fd9c9901b8dc024f

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T13:59:56.358796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:49.210092Z digest=sha256:7b32ea6583febe7b39a4ff882fdb887141aa1a5ea348be85dd5d524a009f8ac9

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:49.328552Z digest=sha256:b777c7ee91a7cd21679ea73784e06062720d9a87d84765b278abcca22fce4cca

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

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raw_fallback, observed 2026-08-07T13:59:55.996808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:49.454947Z digest=sha256:8f26a0b85a7ac65025c8312c3307f60c6fc7abb88df9bf7af9419e91441dc57a

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:49.533177Z digest=sha256:bdcdc9cb4c3f47f8030f95a33a19e6a371a9606db7fcabf88fd328c7c5316ed6

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

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:49.617604Z digest=sha256:70d92bac78e9af2c49ff5c446ed328b957bdbaae8915ed4d42a55c455171af0e

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

Resolution
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raw_fallback, observed 2026-08-07T13:59:55.712645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:49.689667Z digest=sha256:f238f49b7ace1bdcd1cb30c524beb92904bccdbe494a9ddda58a3022445bd362

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

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raw_fallback, observed 2026-08-07T13:59:55.502216Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:49.732974Z digest=sha256:ded8bfc5c2600d80c8da0cb8ddd243c51ea39c15004ced28509e6a269a5f4cd6

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

This paper cites an unresolved cited work.

syftr: Pareto-Optimal Generative AI Unresolved cited work

Reference 42

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:49.784725Z digest=sha256:f2f61a90205a1cf25bbc25777ed41cbe04f1195843d2e1303e8632721648d9c6

Observation 1a504291-2b26-4ba8-a429-d4efd211a1b6 · outbound

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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no resolver link, observed 2026-08-07T13:59:49.836836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:49.836836Z digest=sha256:e25099a793e5e297e2045bd94d51c1abac68fe1b812ee03e61424ba8ce1660ff

Observation 2217a81a-ec19-47a0-a551-60ee68e0a615 · outbound

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

Resolution
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no resolver link, observed 2026-08-07T13:59:49.875177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:49.875177Z digest=sha256:b8fa98f0d9aaaf0ecfb7ba584c449b86113f420e2dec4c5cd76a02e8fe0b8833

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:49.944329Z digest=sha256:00866a0d51774d7b006c06a3fae812501c8d38b64bd81f879c34405992caa3d2

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:49.990348Z digest=sha256:645acaced9354805d91a787180d189af566ee1f01cd8d7f044b4cf71d1024748

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:50.059657Z digest=sha256:d1fcb9e2413dba649cf6442fda9701db76b4f138121ee20518b77e388fcdb003

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:50.141373Z digest=sha256:1cceadc831b1a2774484a41f91d0a1f37ae3f36d63a6f90f211db5b8c431d6cd

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

This paper cites an unresolved cited work.

syftr: Pareto-Optimal Generative AI Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T13:59:54.258538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:50.175227Z digest=sha256:97b6a8d7712ae809f8fdcdeda7f9a8b4d1b73b859bf9a1e2bc7de78d1022063f

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 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:50.209214Z digest=sha256:65f8a57523702a2fae700950aacd5ed1a4e89a2d6497d3352f7c227156b59dea

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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no resolver link, observed 2026-08-07T13:59:50.266917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:50.266917Z digest=sha256:40e00ef90e57964fd92c4f0a3e65556ca061440736f6f2dfb196a5318acb5b5e

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:50.314921Z digest=sha256:f157dd1026ac5a80d412b79f6574e4278f98b509355b4813275b9a461ee77199

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:50.372722Z digest=sha256:73a811b2117ae18a3da7925073facaaa43405e51bc4b62867d447ecb27ec8ffe

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:50.459606Z digest=sha256:30d9bd67e6fa5b4e265a25e0c539ed58a71551fe969e3b7c8671b76d9385f872

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:50.545010Z digest=sha256:b5c827f576c77b961d82c4bd2c9117569026fcceb6188e5e3a5d2015880beb9b

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:50.618569Z digest=sha256:13d2acfd1843ae94410778d4baac6f3dedfc5c8f85822b20ea582b9d5386cf4c

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
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raw_fallback, observed 2026-08-07T13:59:53.865062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:50.671408Z digest=sha256:f31e9f5702a382d110512631165d97d664edff91e36b9dc8fb2d4c82a1fc64f1

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:50.741025Z digest=sha256:40125a11f932810f11ce16c7c5b71e98a7319af25a9259a061af229e322fe203

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:50.789445Z digest=sha256:ae300a303c31d8e79cdd74eceffc4d50934aa165ac88c87ee31f21c8774c2cd2

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:50.841347Z digest=sha256:4194b127bfed00e8535b4622098b2a027842422654953a5e646a70af4380a494

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:50.898172Z digest=sha256:2411249380f8a9dc6329b63188ea1e1bfe7af49ec17d06b0bae2fceeb234f8ba

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:50.979244Z digest=sha256:fc7e8b7f1501f5c72f4260a2a69658f958f55be70682991f475021917d6fa6fe

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:51.042951Z digest=sha256:389a395fa6e93a1f20dfb9cfc4f41cf4732c4d39c24b5fc3f06ed8ce8169eec3

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:51.084006Z digest=sha256:9c9d8706c210ad003577fba5e54592212d0c7fb764075522c7ea3ea26582b260

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:51.135761Z digest=sha256:bf1a0b582d942ec957f591a7fae45f1ff77390f4cc4dfe4d0d509c248c1a6b59

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:51.195166Z digest=sha256:f662144557d1045226ed5fd9184e6ddc1e5a88c59d1b6ec524f2755760ff7da1

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:51.270919Z digest=sha256:e51ff1677a5c59f8324f2e9451178516cf1c0b5ebed2484a7aa64fb1305b170d

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
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:51.324885Z digest=sha256:8af0d548640602b5d3eb54ae4cd9c0f29ed046eaafe4ae5a4e8b43c958f000ba

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:51.397058Z digest=sha256:1c014c2f5e973a04fe3001f845a4e48824e235225bfab082aad78b7eb2436d22

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-07T13:59:51.468645Z digest=sha256:4c7f09205cd53624461d18ecd1715b7b5baf997d2154f7663213e76086f7c4a2

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:51.543459Z digest=sha256:e71d1827e271af9d8c343a75709c4ebb7a05254c386ec68ff6a72cae5ae6d3ab

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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

This paper cites distractor.

syftr: Pareto-Optimal Generative AI distractor

Reference 76

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

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