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Paper Citation Record · LEDGER

Cognify: Supercharging Gen-AI Workflows With Hierarchical Autotuning

As of 8 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 4 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 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:38:02.572302Z

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.110598Z digest=sha256:caf4db19a75e4dbb5b1bce023f36bde268b0e8c7b67e11ebc9afcab2956d10cf

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.172314Z digest=sha256:42b5a1935813b8163e6263307ce8d9fdbe34122d5f373429e0897478688ff584

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.218857Z digest=sha256:5857d8a53b0de88a78c4b563c91bdf7c609a09b5e72579aeaa594cbdd13edba9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.281078Z digest=sha256:91a8f897b85ed69e7a4bfa37c2fc85cbbf4e32702daeca5f288b6d70a286c694

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.380536Z digest=sha256:8a8b7ab5a95a11cee43f87033eaf46031f84c421ebce2edc36584db044761f5e

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.

source=pdf_text observed=2026-08-08T11:03:44.440233Z digest=sha256:b9073eeeef5e33f0dd391bc0adc81f852e9ac5f5bd5b1740cc5bae4ce52cee2c

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.473631Z digest=sha256:dc48b374652726b2331ae4ebaefb20d31d62e7ba20f974db47c63bc34851ad88

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.477773Z digest=sha256:ebc03df0b68462f497dad44a92ee05996fd871f138e5e6691f798d881a091e45

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.481450Z digest=sha256:7c7f514b098a134c34135b1cb52d5ff568ab6512594d4ddfba277badfc402b4a

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.484530Z digest=sha256:c548e58f38b9d50683dc8da26532e688536b7b5eabb957910a11ad493452f1ce

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.487581Z digest=sha256:50e25498739e6db56d71db95ecdadb517cd2674b1a3c6fd388dec5d766217f30

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.491603Z digest=sha256:3695b19eb94b8d7e6567188fa722779a3e420ba5413a62292adf77cc070b53a4

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.

source=pdf_text observed=2026-08-08T11:03:44.495798Z digest=sha256:d70c9f525ab3479f3b7e75151171e51188fb89694c449e332c6764e1609fd274

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.

source=pdf_text observed=2026-08-08T11:03:44.499811Z digest=sha256:4c8d7b4a20703169158258df7dcb903154f3ac21a6b662f3eac03e2aea0c3340

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.503917Z digest=sha256:e8ab212ea328d442ce36b952809c9c9bc5c489c0b62199e000f380c297c5e3f8

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.

source=pdf_text observed=2026-08-08T11:03:44.508017Z digest=sha256:47daaf3eb2ca8586748670b1102035997a85995ef475e7cce7a8af4bc8e82170

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.512549Z digest=sha256:fc2bc287d34aba5766053d5d7b3bfffad24440b4c37199510e157bf7adff223e

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.516493Z digest=sha256:4a5128933120efd9706ec869df91292ee330431b655cb739d1223f43aad27e3d

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.

source=pdf_text observed=2026-08-08T11:03:44.520294Z digest=sha256:975a81eec1777d1ce3a627cac0c235ae98df4c5c505a6eed8bd733ff1bb27b47

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.

source=pdf_text observed=2026-08-08T11:03:44.523909Z digest=sha256:d75a39cee52aae9046c8603384854ae2223b48d32501f0582d83e38a2c1291be

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.

source=pdf_text observed=2026-08-08T11:03:44.528188Z digest=sha256:ebeaaee7621dbdfd9a10722a2809ca3dc782cf635e69c2dacdbf9da0a314c8fc

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.531579Z digest=sha256:34842a3d8f266ca806cd04f7600a92c918395ab42f5e7b14430fc4e340265a16

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.535456Z digest=sha256:7fb11ce1904a7135bd187f884a71964125adbe8fa7dde195a31368b329e3d6af

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.540336Z digest=sha256:434deb7c158faaaa14cf6d9d1c7cdb9120983c35481ddd1759173883f6979e12

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.

source=pdf_text observed=2026-08-08T11:03:44.544092Z digest=sha256:e6e5c0ae1d12b7ddaa96298619a135245e13b9c8eb4000aeb4e631f2375c25f7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.547760Z digest=sha256:43509cec27cfde552d15d27b030ca9f1dd52988a02f51130a183b0d78a3b0434

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.551580Z digest=sha256:7f087dc8d9f3c6a28cc7a1db53b5358c1b293a9dd0bada12837346b0600b9a7d

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.

source=pdf_text observed=2026-08-08T11:03:44.555202Z digest=sha256:5ea36f8cf6f2e9696897ab86dca24e2b780a79c44cf0b42d996601f27746507b

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.558933Z digest=sha256:b960f27fe9c3a38b98b1ee9d5c04237afa8f4b164359b00edb78978abc10dfe4

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.

source=pdf_text observed=2026-08-08T11:03:44.562393Z digest=sha256:052f2d39a22c4eb6a7bc1cedbc5b10172b9c836526a135d3ac93c1abc360eea4

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.576027Z digest=sha256:a45b27a241baae24013549a8ac209d284981a93bb2e168106ef90804b2f3a452

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.591286Z digest=sha256:1beca963581a86f098bffd81b18ebf364f525c6d403e9bafdf7e33ba6bbffe12

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.

source=pdf_text observed=2026-08-08T11:03:44.643296Z digest=sha256:fb113c4475c5ce305f08285a6743c7d7f4bf7ed9c88af70bf351d73b1c30c254

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.

source=pdf_text observed=2026-08-08T11:03:44.683274Z digest=sha256:c3ed8aeb5c57dc597904213568781146574db434b9c82c0dad1b3e4ae991bbfc

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.

source=pdf_text observed=2026-08-08T11:03:44.732694Z digest=sha256:9ba59aa86ddbafabc4e763e8a60b232042c71f780923d8970f202471e24c9518

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.757618Z digest=sha256:17aa95d2bd408371fc8ea6ac16bbb5869084375207e571a83456479ae6380129

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.

source=pdf_text observed=2026-08-08T11:03:44.786357Z digest=sha256:2e2dd65910beaf36d0b8b826d4df4cb373a58c3d4ebe1b329e4afc94718a570e

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

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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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.834399Z digest=sha256:b87bd074eb68e01f2d20cad56cc5340432db4bc0565133e7797e442ef1d3e4dc

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:03:44.854630Z digest=sha256:aa666ef4eefd239272b3a412af5507be5e99dd2643235a31fe790c8fd1c3c544

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.858599Z digest=sha256:5c402d713ff944ecf85fc097706ae92800797ffa3df3deadde33e5c5e4d44615

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.862510Z digest=sha256:77022acbe64d8bff9ef1aeec7a3e6ad42796e7d01c331cfe8570d83d9bb54727

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:03:44.865555Z digest=sha256:31f3ff2a785cb93c901fbcfb635bb0c1d24a07cd0bb8ca4f5bfe0d0b8451f04d

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:03:44.868552Z digest=sha256:afc830738e87f15d940eaa5425220afcec2a6121a435c7cb589d219e582f96bf

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:03:44.873139Z digest=sha256:d75999120d24c230d9fd09cee85c1d7c686c817fb0f0695bf172171de352748d

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

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

Source-reported events for the cited work

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source=pdf_text observed=2026-08-08T11:03:44.876313Z digest=sha256:560bb2474a50ded5c11ea4a099b48d9b3f334040e128a931839b767b5be39171

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.880068Z digest=sha256:6560d5ef721841cd49ca4b0b7096d7c86c27bb8966cb42456dcf05a08790c854

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.883587Z digest=sha256:a1b76b25b7374c27858cfe12b6e91095dc78f47c303da2bb4d81c08f46361038

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:03:44.887601Z digest=sha256:23830169685d1acf4cd1b70beb1fa825d22c48fbeeb170cbfb6b858c0087a7c9

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.891371Z digest=sha256:07a0a2eb36846cdff397b2e765e09f8b4f5c16060c5df689f07862dc0f50e5f7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T11:03:44.895276Z digest=sha256:fdf84f5d61d258f45c8d6724662d601eae0676b55cb2a7a3ee713c2f7280bde6

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.898980Z digest=sha256:7e0ee9140bc2002167ca3141809f887f09225b8ff6cd81a1c5c0611ce779dc59

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T11:03:44.902577Z digest=sha256:d485cd6c338928f2025cca3004494b1e0ccf389bd7d3e35ffe69134421cf3fb2

Pith citing papers

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:38:02.572302Z digest=sha256:d6935863173ab661b9b1b5b7097a75f7b1567ee371deee85649a4e85627b28d2

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:45:42.272015Z digest=sha256:709878277452d2d140f03da15547246b6b430c044bde44a156663c5ca816218a

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:08:31.433370Z digest=sha256:0ee0a211d48c961526279f75cfc8cee9426c5d66092a5106e036ff46239a835f

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-06T05:52:41.861501Z digest=sha256:bc9308bf6e2a80d220529e997291c51dbf1eb9714de5ceab3c2f297bbfb93292