Paper Citation Record · LEDGER

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning

As of 21 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 5 inbound Pith citation observations for arXiv:2502.08056.

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

pith.paper-citation-record.v1
2502.08056 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:03:44.902577Z

measured 57 of 57 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:48:22.835340Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:52:42.618059Z

Reference resolution

52 of 52 outbound references displayed

verified exact0
verified fuzzy5
unresolved47
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 69f7a97d-3338-4124-8c2b-9416dcd67acb · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:46.190457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 3f5b6c93-d235-4611-b720-c6a0a394e1ce · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:46.180209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 501eb596-96eb-4450-bb92-1aab517e0dbf · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:46.170373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 06245f94-c429-496a-851e-a691e990c0f8 · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:46.159626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7bfc06bb-b893-4824-8dff-643f9bff2c7b · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:46.149076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 02507c6c-1aa3-48dd-9160-a10f9d21605d · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Evaluating Large Language Models Trained on Code

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.440233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6345a0f-8bbb-423d-8994-fdd9cb4216d9 · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:46.138820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 83d889f6-3273-4a59-916b-07abe23b5a95 · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:46.128633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 309ad4f0-f10d-452b-9d34-33280b325bda · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:46.117984Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cb6551fd-eb19-4618-bfd1-e8a09498489e · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:46.105618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6176d592-69a3-4065-9aae-e029265769bd · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:46.011260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cca00cd3-903d-4270-a06c-657eb0dd48eb · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:45.934325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e35d8043-d412-4e10-acb4-35367995de7b · outbound

This paper cites BOHB: Robust and Efficient Hyperparameter Optimization at Scale.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning BOHB: Robust and Efficient Hyperparameter Optimization at Scale

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.495798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bbf8a54e-669a-4364-839a-78fc7f409593 · outbound

This paper cites Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.499811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e5e1737-5030-46f4-815f-1427bbf5130b · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:45.859274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7dbb6ab1-e44d-4c9b-ad9d-f69ac5259261 · outbound

This paper cites Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Language Models as Zero-Shot Planners: Extracting Actionable Knowledge for Embodied Agents

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.508017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a762b573-8f3d-44fd-b093-e43202027134 · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:45.811937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7740cc54-d63e-4a65-91e7-de786e4436e5 · outbound

This paper cites Jones, Matthias Schonlau, and William J.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Jones, Matthias Schonlau, and William J

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:03:45.800681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 03d91427-7b54-4acb-99a6-5eb5d31d19b5 · outbound

This paper cites Neural Architecture Search with Bayesian Optimisation and Optimal Transport.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Neural Architecture Search with Bayesian Optimisation and Optimal Transport

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.520294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3debb2cf-b636-4340-8124-6c0f4f53c369 · outbound

This paper cites Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.523909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45c1b911-6837-4abc-b891-53e940bdda68 · outbound

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

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Joshi, Hanna Moazam, Heather Miller, Matei Zaharia, and Christopher Potts

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.528188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 666c5d22-f720-44d1-8b41-918ea4465bc0 · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:45.782532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 47ca9d63-1bdb-44ea-aa79-f360e0added0 · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:45.771458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation df97a26d-162d-49b7-9cea-d6df6b5869ed · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:45.760224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4eb8ea25-4eec-40d3-b918-2495b15dee95 · outbound

This paper cites Orr, and Klaus-Robert Müller.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Orr, and Klaus-Robert Müller

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.544092Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b945e675-f8c3-4ea8-b414-dceaa33f8369 · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:45.749176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 13a28a39-69b1-4cd0-8574-878829fa27a2 · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:45.737256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d7b937aa-4c2c-4f02-aa9a-82902b6180c1 · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.555202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d352712c-b444-4062-aba1-53345211530e · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:45.719924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 577227da-cc91-4348-bd5a-0d4cf9f30f40 · outbound

This paper cites RouteLLM: Learning to Route LLMs with Preference Data.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning RouteLLM: Learning to Route LLMs with Preference Data

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.562393Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 01005f26-0581-4b19-89fb-8aac4556d170 · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 31

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:45.708389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a2994079-2101-4171-9dc3-0cc858d49b43 · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:45.698198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation dcdd57e7-914b-4bf3-9102-149a52db2a10 · outbound

This paper cites Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.643296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f1694cb5-016c-4d19-8129-fe6664877024 · outbound

This paper cites Efficient Neural Architecture Search via Parameter Sharing.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Efficient Neural Architecture Search via Parameter Sharing

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.683274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa1b7a1d-5d1c-4638-8ddd-5b9f081203cf · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.732694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d611d0c-958c-4aeb-9b63-9e42cb77c0c8 · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:45.680974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8595c1b8-42d5-45b0-8531-555d397144ad · outbound

This paper cites TensorOpera Router: A Multi-Model Router for Efficient LLM Inference.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning TensorOpera Router: A Multi-Model Router for Efficient LLM Inference

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f87c99e0-8175-47ba-9d41-44acd350f966 · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 38

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:45.669413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation ad6b9d31-db1a-449f-ae48-7113b34349a2 · outbound

This paper cites Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Tree-Structured Parzen Estimator: Understanding Its Algorithm Components and Their Roles for Better Empirical Performance

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.854630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ebd794e-6eca-4264-b389-a6f7491ba81d · outbound

This paper cites Chi, Quoc V.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Chi, Quoc V

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:03:45.538809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 04cc2e44-2ea1-4784-86e5-96c7961d7495 · outbound

This paper cites Williams.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Williams

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:03:45.468972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation f018e933-5c41-4ea6-9241-32f700063f72 · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.865555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c111a3-5025-44e7-82ae-adf249ee0c80 · outbound

This paper cites FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning FinRobot: An Open-Source AI Agent Platform for Financial Applications using Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.868552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18e2274d-05e0-4476-b4a5-15e44cf9d891 · outbound

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

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.873139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24088200-221f-4961-87f7-234a220f2f79 · outbound

This paper cites MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning MatPlotAgent: Method and Evaluation for LLM-Based Agentic Scientific Data Visualization

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.876313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7951563b-ecc0-48cc-94aa-34a80ac19063 · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 46

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:45.391442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation df902c25-2a66-4024-803c-0fb0cd589641 · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 47

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:45.335062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 50d959be-a8ee-442f-ac40-ae50aa21a4c5 · outbound

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

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning TextGrad: Automatic "Differentiation" via Text

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.887601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83ccd550-ddaa-46b5-b192-bdf17df1f51c · outbound

This paper cites Gonzalez, and Ion Stoica.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Gonzalez, and Ion Stoica

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:03:45.308098Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 44682949-fc98-48f6-a81c-71fe2e0456df · outbound

This paper cites Symbolic Learning Enables Self-Evolving Agents.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Symbolic Learning Enables Self-Evolving Agents

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-08T11:03:44.895276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbb2126c-510d-4a40-b1de-b92595efdbab · outbound

This paper cites an unresolved cited work.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning Unresolved cited work

Reference 51

Resolution: unresolved; raw_fallback, observed 2026-08-08T11:03:45.295846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 6748d678-9504-4415-a75f-7d0852880bfa · outbound

This paper cites m a t h _ s o l v e r.

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning m a t h _ s o l v e r

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:03:45.234611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

Observation dcf06b41-941b-4ac4-81ac-cd338f525c78 · inbound

Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents cites this paper.

Demystifying and Enhancing the Efficiency of Large Language Model Based Search Agents Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-15T20:48:22.835340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6997861a-d0ba-4a32-a10e-ab4ee36f8421 · inbound

Single-agent or Multi-agent Systems? Why Not Both? cites this paper.

Single-agent or Multi-agent Systems? Why Not Both? Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:38:02.572302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce19083b-5ba9-4f51-b18a-a88d0bb19648 · inbound

KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows cites this paper.

KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T18:45:42.272015Z

Source-reported events for the cited work

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Observation c776032a-4b86-450b-8332-fa3b7127f220 · inbound

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving cites this paper.

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T18:08:31.433370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b396b62-aca9-43b6-945a-b42b203cfd50 · inbound

A Survey on Agent Workflow -- Status and Future cites this paper.

A Survey on Agent Workflow -- Status and Future Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-08-06T05:52:42.623185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.