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Paper Citation Record · LEDGER

Large Language Model Routing with Benchmark Datasets

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 61 inbound Pith citation observations for arXiv:2309.15789.

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

pith.paper-citation-record.v1
2309.15789 v1

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measured 0 of 0 reference resolution

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Source: paper_references, paper_reference_links

measured 61 of 61 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 61 of 61 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:35:47.705888Z

measured 0 of 1 external citation measurements

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Source: pith, observed 2026-07-11T02:27:47.646520Z

Reference resolution

0 of 0 outbound references displayed

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Outbound references

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Pith citing papers

Observation 6e13b4bf-a177-41ae-a8b6-f34c1d225274 · inbound

Real-time Adapting Routing (RAR): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation Models cites this paper.

Real-time Adapting Routing (RAR): Improving Efficiency Through Continuous Learning in Software Powered by Layered Foundation Models Large Language Model Routing with Benchmark Datasets

Reference 27

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source=pdf_text observed=2026-08-12T20:20:59.569933Z digest=sha256:ca3ae885c8c0c010e73440184dfb29a5c49cd92b513e0ac5b343216d2f819d6a

Observation a52b7294-7e76-4cd7-88fe-e41f15149a60 · inbound

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model cites this paper.

Adaptive Routing of Text-to-Image Generation Requests Between Large Cloud Model and Light-Weight Edge Model Large Language Model Routing with Benchmark Datasets

Reference 33

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source=pdf_text observed=2026-08-12T16:16:26.285312Z digest=sha256:2abca3b401895ad3ddfb757e33b92e957eca701353e5cc5858b6fcae2fb23663

Observation 0b0839e5-062e-4df4-bf73-6f9ea9487b7e · inbound

PickLLM: Context-Aware RL-Assisted Large Language Model Routing cites this paper.

PickLLM: Context-Aware RL-Assisted Large Language Model Routing Large Language Model Routing with Benchmark Datasets

Reference 22

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source=pdf_text observed=2026-08-11T17:29:02.823345Z digest=sha256:463744b1b8a4cac027087b0b37d843088ea1d9230cdc3b1b18df67db74050ee8

Observation a3799d27-2204-447f-9b4c-7a9b5b48e471 · inbound

Channel Merging: Preserving Specialization for Merged Experts cites this paper.

Channel Merging: Preserving Specialization for Merged Experts Large Language Model Routing with Benchmark Datasets

Reference 41

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source=arxiv_source observed=2026-08-11T12:40:16.249758Z digest=sha256:e30bde8d5a9a36bea9c9fc158b8b09bd200874a0792420008329235b9fdcd9be

Observation 41a29bdf-f416-48bc-a48b-88829c5bac19 · inbound

MMFactory: A Universal Solution Search Engine for Vision-Language Tasks cites this paper.

MMFactory: A Universal Solution Search Engine for Vision-Language Tasks Large Language Model Routing with Benchmark Datasets

Reference 47

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source=pdf_text observed=2026-08-11T05:08:18.164866Z digest=sha256:7b2e3af17f2879e907bd0431bad44dab46ecbae495d328d0de685dd3cab90ffb

Observation a5eec80e-aa3a-40ad-98b3-5e83961766ed · inbound

Rerouting LLM Routers cites this paper.

Rerouting LLM Routers Large Language Model Routing with Benchmark Datasets

Reference 57

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source=pdf_text observed=2026-08-10T22:24:45.601077Z digest=sha256:1716dafe7eeffd11df55cbc0b3eda9be87e7256fc1c534bc54077ea256c20df6

Observation 7805cc62-99ee-4d2c-a397-61815d53b200 · inbound

The Internet of Large Language Models: An Orchestration Framework for LLM Training and Knowledge Exchange Toward Artificial General Intelligence cites this paper.

The Internet of Large Language Models: An Orchestration Framework for LLM Training and Knowledge Exchange Toward Artificial General Intelligence Large Language Model Routing with Benchmark Datasets

Reference 25

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source=pdf_text observed=2026-08-10T21:04:33.654944Z digest=sha256:bc6f3789b32b9383f79020b37b2c2dea5c50093bf5fd34e93546eaa61d5255dc

Observation e839877a-f8a3-476a-a0dc-d6b5d7c059c1 · inbound

Unsupervised Query Routing for Retrieval Augmented Generation cites this paper.

Unsupervised Query Routing for Retrieval Augmented Generation Large Language Model Routing with Benchmark Datasets

Reference 12

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source=pdf_text observed=2026-08-10T20:40:24.633361Z digest=sha256:0e87011bed277abc12534d3baa74d63648c371a8fe842097f0d6e8927abab57b

Observation 78e5c89e-c851-4207-ad6c-b33768be7c0a · inbound

Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems cites this paper.

Doing More with Less: A Survey on Routing Strategies for Resource Optimisation in Large Language Model-Based Systems Large Language Model Routing with Benchmark Datasets

Reference 89

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source=pdf_text observed=2026-08-09T19:10:53.818852Z digest=sha256:722f8bc212ec2d8ca04379549feaa9699e900afab7c1bf00425db8515f993edb

Observation 1c83dd08-bb53-46d1-9d34-4656e4372d80 · inbound

LLM Bandit: Cost-Efficient LLM Generation via Preference-Conditioned Dynamic Routing cites this paper.

LLM Bandit: Cost-Efficient LLM Generation via Preference-Conditioned Dynamic Routing Large Language Model Routing with Benchmark Datasets

Reference 31

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source=pdf_text observed=2026-08-09T11:22:28.965591Z digest=sha256:4e7b74d7f7865e8baed4d1e4d3a31f03f77e0160298d188a98c03105b5223381

Observation a47a39aa-60f6-40a7-8a9d-5726d5beedf1 · inbound

CARROT: A Cost Aware Rate Optimal Router cites this paper.

CARROT: A Cost Aware Rate Optimal Router Large Language Model Routing with Benchmark Datasets

Reference 2023

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source=pdf_text observed=2026-08-09T05:30:40.777328Z digest=sha256:dbcbd867c083e56e3762471b02c5dc9ed868f67c6cb684c3f40fdb28fcb92dd9

Observation 6ca23ba2-abe0-417c-95e4-86650fd24b10 · inbound

When One LLM Drools, Multi-LLM Collaboration Rules cites this paper.

When One LLM Drools, Multi-LLM Collaboration Rules Large Language Model Routing with Benchmark Datasets

Reference 98

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source=arxiv_source observed=2026-08-08T22:33:09.569628Z digest=sha256:72e3c874944b215aa942f369387fcaa2b568d0d67f61ea70a7c0d2e7c2529d5f

Observation ad300be5-6e99-466f-a7c1-287776bce70f · inbound

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems cites this paper.

KABB: Knowledge-Aware Bayesian Bandits for Dynamic Expert Coordination in Multi-Agent Systems Large Language Model Routing with Benchmark Datasets

Reference 33

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source=arxiv_source observed=2026-08-08T13:08:22.860161Z digest=sha256:433aabb92d0b6ca70117d1343161fbd55c97c5edd304360952dc3974f71ea6a7

Observation b8ad597c-0628-4c00-916d-e6b708978b48 · inbound

Universal Model Routing for Efficient LLM Inference cites this paper.

Universal Model Routing for Efficient LLM Inference Large Language Model Routing with Benchmark Datasets

Reference 95

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source=arxiv_source observed=2026-08-07T23:48:01.195895Z digest=sha256:6117e731c3714062992fb993323660269cc736eeac98048919f2a61945afee4e

Observation 91febde8-3983-47fe-8c9f-78dcbfbc7317 · inbound

ORI: O Routing Intelligence cites this paper.

ORI: O Routing Intelligence Large Language Model Routing with Benchmark Datasets

Reference 25

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source=pdf_text observed=2026-08-07T19:40:07.685952Z digest=sha256:ba18bbf22e7fd585b256b3466989c00b4176bce636cf41d455b0556cc3adea8a

Observation 21d7468d-333f-458d-9e1f-5cf5d4d4e9de · inbound

MixLLM: Dynamic Routing in Mixed Large Language Models cites this paper.

MixLLM: Dynamic Routing in Mixed Large Language Models Large Language Model Routing with Benchmark Datasets

Reference 16

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source=pdf_text observed=2026-08-08T18:11:31.755725Z digest=sha256:bcd223c5cbd6c1b56d0f10e893aba23526155d04ced95ccf9e1649d03731365a

Observation 816d9674-4c4c-46bb-adf8-a62a8ad099e6 · inbound

Synergistic Weak-Strong Collaboration by Aligning Preferences cites this paper.

Synergistic Weak-Strong Collaboration by Aligning Preferences Large Language Model Routing with Benchmark Datasets

Reference 31

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source=arxiv_source observed=2026-08-16T11:35:47.705888Z digest=sha256:07831e83160e8fecb4036cff87ab9e868430c984ee5242063e48435a423abbff

Observation 225c167e-0476-4fab-9693-2ce3afb99e54 · inbound

Position: Enough of Scaling LLMs! Lets Focus on Downscaling cites this paper.

Position: Enough of Scaling LLMs! Lets Focus on Downscaling Large Language Model Routing with Benchmark Datasets

Reference 26

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source=pdf_text observed=2026-08-16T04:39:14.102815Z digest=sha256:660e5491d8d150ff2e79a961694e65c5b4d0b7ff830ce8dc5536a36ae500ad3e

Observation 1c8cc3be-1655-41f4-b1a2-7e0348838187 · inbound

COSMOS: Predictable and Cost-Effective Adaptation of LLMs cites this paper.

COSMOS: Predictable and Cost-Effective Adaptation of LLMs Large Language Model Routing with Benchmark Datasets

Reference 31

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source=pdf_text observed=2026-08-16T05:17:37.877990Z digest=sha256:b6bd3fd5b71fe8d14673794fc0f3adf72f83b9f1c226cd3fe6ab01531a415df5

Observation 9982a506-e2c8-4f43-b448-471ac80e3c30 · inbound

Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers cites this paper.

Rethinking Predictive Modeling for LLM Routing: When Simple kNN Beats Complex Learned Routers Large Language Model Routing with Benchmark Datasets

Reference 21

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T15:13:28.927880Z digest=sha256:81c4c5cb63a770529f8a4b9949aacd50569316834d9ea6ed5c39dd5cfa846d8b

Observation af962790-1ffa-4c39-adfc-edd5e37800f7 · inbound

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead cites this paper.

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Large Language Model Routing with Benchmark Datasets

Reference 2017

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source=pdf_text observed=2026-08-07T15:11:17.471621Z digest=sha256:f8f634331ff77164397f73af5818ca055c5bd05743b789d776577297a0d17b67

Observation bb1c22a6-e046-4ced-a12c-14f4376625e3 · inbound

IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory cites this paper.

IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory Large Language Model Routing with Benchmark Datasets

Reference 48

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source=arxiv_source observed=2026-08-07T12:00:12.633894Z digest=sha256:2ed4e707e2fdfb19f01f3c8b22baa4baba39dcc452c82eba4071e256f978fd71

Observation 70055641-08b0-4c1e-9321-2a0d1f2c50d8 · inbound

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute cites this paper.

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute Large Language Model Routing with Benchmark Datasets

Reference 41

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source=arxiv_source observed=2026-08-06T22:05:28.537741Z digest=sha256:259474afb01be175293e66548ccaeed8cee1ff12c721c044619b8976a1a6fee5

Observation a4f0b94f-746f-47be-8b7d-d34bb373a31f · inbound

Economic Evaluation of LLMs cites this paper.

Economic Evaluation of LLMs Large Language Model Routing with Benchmark Datasets

Reference 48

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source=arxiv_source observed=2026-08-06T20:05:20.568823Z digest=sha256:0e09304e0b12b8bdac3c9cbb417ac739731fa8af5e223cf125e4292d62fd7c05

Observation 0e86fc1e-68b0-4693-b1f5-11000a7e6aa1 · inbound

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement cites this paper.

A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement Large Language Model Routing with Benchmark Datasets

Reference 48

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arxiv_id, observed 2026-05-21T23:30:46.025838Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T23:26:38.457193Z digest=sha256:bd99798a96f6c6305489d5e90036faa172fc2f3919df03432743fdb8794c79be

Observation 3a668f14-3ade-4c91-b6da-70ac284b91a5 · inbound

CoE-Ops: Collaboration of LLM-based Experts for AIOps Question-Answering cites this paper.

CoE-Ops: Collaboration of LLM-based Experts for AIOps Question-Answering Large Language Model Routing with Benchmark Datasets

Reference 29

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source=pdf_text observed=2026-08-15T18:09:39.596918Z digest=sha256:8921927d8bf10ad31bde0b45f11a60a0bb92662f93c4ed0f1b7913f9d7e8bbf9

Observation 972eceb0-f50d-4179-990e-02817071252e · inbound

Quality-of-Service Aware LLM Routing for Edge Computing with Multiple Experts cites this paper.

Quality-of-Service Aware LLM Routing for Edge Computing with Multiple Experts Large Language Model Routing with Benchmark Datasets

Reference 28

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source=pdf_text observed=2026-08-06T10:22:42.536535Z digest=sha256:bd2d7aa502c165c865269f463f60b9ba47db7e15b70a00272b7603f9b7d08751

Observation 4704b8da-bcbc-4778-857b-96d69ea5f566 · inbound

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units cites this paper.

Dynamic Collaboration of Multi-Language Models based on Minimal Complete Semantic Units Large Language Model Routing with Benchmark Datasets

Reference 37

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source=arxiv_source observed=2026-08-05T16:18:47.579114Z digest=sha256:27dff3e843e1ace816679a9c4ee825336ef34b8b199d1549dfcc10dc7ecce208

Observation c9ac31a0-0410-4bcd-8bd4-0b886abd2d9a · inbound

Delta Activations: A Representation for Finetuned Large Language Models cites this paper.

Delta Activations: A Representation for Finetuned Large Language Models Large Language Model Routing with Benchmark Datasets

Reference 55

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source=pdf_text observed=2026-08-15T16:32:08.566431Z digest=sha256:4aeb9f6a0a0c8fde8b392a781cf789f69d1a470f93149422cf875c05cee8924a

Observation 03653d5c-f96c-492a-a913-364dbb49efd1 · inbound

A Greedy PDE Router for Blending Neural Operators and Classical Methods cites this paper.

A Greedy PDE Router for Blending Neural Operators and Classical Methods Large Language Model Routing with Benchmark Datasets

Reference 15

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arxiv_id, observed 2026-05-18T12:32:36.206591Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T12:32:13.577474Z digest=sha256:d3f3f284f1cb291d0e894157bf28c63be4b2b79d2a79e093daa8359e556c54ac

Observation b1ac5cf7-af69-42a9-9bc6-3c9c1e730a8f · inbound

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process cites this paper.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Large Language Model Routing with Benchmark Datasets

Reference 41

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arxiv_id, observed 2026-05-16T19:58:22.758141Z

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source=arxiv_source observed=2026-05-16T19:57:03.999154Z digest=sha256:d2312459bb071ad48c8cf01c5a9c5d775d87920befdd04aec8aa720cf7bfcb9c

Observation 3c26f859-c714-42a7-92d5-b3401e2a6eb9 · inbound

When Models Know When They Do Not Know: Calibration, Cascading, and Cleaning cites this paper.

When Models Know When They Do Not Know: Calibration, Cascading, and Cleaning Large Language Model Routing with Benchmark Datasets

Reference 13

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source=pdf_text observed=2026-08-03T11:01:24.791849Z digest=sha256:2403bb8bdd1d3d10793cd2fef685aa46d553eb8ebc8ed0523f29872839e33210

Observation e49410a8-c9cc-4eee-bc69-8028edb320e5 · inbound

Vanishing orders, suspensions and zero degree Tur\'an densities cites this paper.

Vanishing orders, suspensions and zero degree Tur\'an densities Large Language Model Routing with Benchmark Datasets

Reference 39

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source=pdf_text observed=2026-07-15T14:06:05.916377Z digest=sha256:ee81800a6bfe29aabd62601d2687d4d82c98c3be40f9233ce441089c89a28547

Observation 99cffbfd-f1de-4523-82fe-5a4a72f9132f · inbound

Select-then-Solve: Paradigm Routing as Inference-Time Optimization for LLM Agents cites this paper.

Select-then-Solve: Paradigm Routing as Inference-Time Optimization for LLM Agents Large Language Model Routing with Benchmark Datasets

Reference 6

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arxiv_id, observed 2026-05-11T00:25:50.940194Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T18:32:37.703624Z digest=sha256:efdcf40aabab63d28eaf6b462848dee0bbf06d06004e31bb91c1e8324e4339de

Observation 408f98f7-f8fe-419a-bf0d-6146ddcdc010 · inbound

Privacy-Preserving LLMs Routing cites this paper.

Privacy-Preserving LLMs Routing Large Language Model Routing with Benchmark Datasets

Reference 15

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arxiv_id, observed 2026-05-10T08:32:51.631114Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T08:32:43.015370Z digest=sha256:5fbf9316158dcb90dfe39f1a7a5cb537b92f1fb50d569cbb7570271733f034fe

Observation 09088afb-b329-470f-973a-b20d7261380a · inbound

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification cites this paper.

Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification Large Language Model Routing with Benchmark Datasets

Reference 38

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arxiv_id, observed 2026-05-10T06:31:30.556747Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T06:29:24.974157Z digest=sha256:3383927cfcc80f8a8e47f32830a2bab838f86e6e0f7514977bd016a7257c2efc

Observation 3a59a700-103e-4e48-b2d6-62018296c485 · inbound

A pragmatic approach to regulating AI agents cites this paper.

A pragmatic approach to regulating AI agents Large Language Model Routing with Benchmark Datasets

Reference 21

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verified exact
arxiv_id, observed 2026-05-10T10:04:06.892210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T10:00:09.382458Z digest=sha256:2fe22ae1c117ebe679ecbede330a72047576b99b144462497b358cd86c1c77ac

Observation 28f81a53-049e-495b-a861-bf9d946d2d01 · inbound

Select to Think: Unlocking SLM Potential with Local Sufficiency cites this paper.

Select to Think: Unlocking SLM Potential with Local Sufficiency Large Language Model Routing with Benchmark Datasets

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:56:27.679355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-07T08:45:14.083901Z digest=sha256:2044898219bb7fb67b97a33eeae5dd1451b9a0e079327ba463b808292574e026

Observation 836a5707-bedb-4b93-8643-c8f392ceb373 · inbound

Select to Think: Unlocking SLM Potential with Local Sufficiency cites this paper.

Select to Think: Unlocking SLM Potential with Local Sufficiency Large Language Model Routing with Benchmark Datasets

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-01T08:35:33.655820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-01T08:31:11.645634Z digest=sha256:4bf54aa0b5d4c1bf04923b828e3225469dac4edadcb1ed63bc01b24d6c35ccaa

Observation af6a6529-063a-4551-ab01-de5bc3c29ca5 · inbound

Switchcraft: AI Model Router for Agentic Tool Calling cites this paper.

Switchcraft: AI Model Router for Agentic Tool Calling Large Language Model Routing with Benchmark Datasets

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:50:56.424966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-11T01:02:55.275359Z digest=sha256:524079bab7a2a1b2e12f237de88e4419dc4256a4f15cc9c62d939ef98d5d8b7f

Observation df4ea24e-22cd-4406-aaf6-2e59531e8a9a · inbound

Learning Agent Routing From Early Experience cites this paper.

Learning Agent Routing From Early Experience Large Language Model Routing with Benchmark Datasets

Reference 35

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:35:57.726716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-11T01:15:07.381414Z digest=sha256:1d641eee138b4fdf9741fd4161920e60dd24e845046cbd1e8578e27c88b686fe

Observation d4acec10-909f-41d0-b34a-85ad5f824e85 · inbound

SOMA: Efficient Multi-turn LLM Serving via Small Language Model cites this paper.

SOMA: Efficient Multi-turn LLM Serving via Small Language Model Large Language Model Routing with Benchmark Datasets

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-05-13T01:42:04.172785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-13T01:37:27.361504Z digest=sha256:9935c08481b6f31bc1995bcf9f5781b1820d2fbc016fca681db88867632793d3

Observation bd19b844-c83b-4adb-82d7-a35763ad4ef3 · inbound

When Efficiency Backfires: Cascading LLMs Trigger Cascade Failure under Adversarial Attack cites this paper.

When Efficiency Backfires: Cascading LLMs Trigger Cascade Failure under Adversarial Attack Large Language Model Routing with Benchmark Datasets

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:02:53.769343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T23:58:53.524203Z digest=sha256:e3bbcd3201eaa8e20318ceb19cfe2fc4f8c03e8e95956f67d91cac2f9474420e

Observation 2243d093-ddec-4e02-887a-858734bff88a · inbound

Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching cites this paper.

Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching Large Language Model Routing with Benchmark Datasets

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:53:59.027419Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-29T21:53:00.365846Z digest=sha256:aeea7cc4ccb7af64d713c0218e2cd2617b02d85d5fea59bc425237b6c522d644

Observation 7db48d68-b818-4564-9196-75c398856f96 · inbound

OrcaRouter: A Production-Oriented LLM Router with Hybrid Offline-Online Learning cites this paper.

OrcaRouter: A Production-Oriented LLM Router with Hybrid Offline-Online Learning Large Language Model Routing with Benchmark Datasets

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-29T00:02:50.203892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T23:24:21.996709Z digest=sha256:58ed72e0f50ed032cc8fcfd168886bced8b4da945b28ff24faa65e326de529d0

Observation a56c8fc2-12ae-49ba-bb6f-8b8150bbba6d · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models Large Language Model Routing with Benchmark Datasets

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:09:36.668050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T16:15:22.543601Z digest=sha256:3c4c0aa3b77b8cf9713440465e55afd7fbe180179e7a4c20139293ba1d4ae43b

Observation c03313af-a61b-45f0-baf8-60dd239c29ea · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models Large Language Model Routing with Benchmark Datasets

Reference 18

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unresolved
no resolver link, observed 2026-08-02T10:48:59.419755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:48:59.419755Z digest=sha256:3f7e2a09813d6955303eee774a8db94b1b9770ccc65a1c122688f9ea730160d1

Observation 3d54517e-1696-4032-8e7f-13755167caff · inbound

Selective Ensemble Based on Preference-Directed Multi-Objective Bandits cites this paper.

Selective Ensemble Based on Preference-Directed Multi-Objective Bandits Large Language Model Routing with Benchmark Datasets

Reference 56

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T07:59:40.316543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-06-26T12:20:27.240829Z digest=sha256:51bd7b3ed7a23d0c87011f8987f805cdea5f5dc6de3e130448caf187e3ee0b63

Observation b58efa20-1425-4456-a538-006d4ec3398b · inbound

Synthetic Consumer Insight Generation with Large Language Models cites this paper.

Synthetic Consumer Insight Generation with Large Language Models Large Language Model Routing with Benchmark Datasets

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-07-11T02:27:47.667921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-07-11T02:22:45.862673Z digest=sha256:bd5d23686d933a728e7b67b899dcd696d917b7c56f70ead044df83e7a8cb3faf

Observation 80a98334-e248-4cab-920b-61c054a2e505 · inbound

TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning cites this paper.

TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning Large Language Model Routing with Benchmark Datasets

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-13T05:38:27.357469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T05:38:27.357469Z digest=sha256:0c95829e7913ebe7a9f42b8611e6f9814052ffa9622f42a8b06d098e0aa8e132

Observation 83fbe965-1f97-443c-be53-ccb8d86110cd · inbound

TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning cites this paper.

TSRouter: Dynamic Modality-Model Selection for Time Series Reasoning Large Language Model Routing with Benchmark Datasets

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-02T07:51:14.388178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:51:14.388178Z digest=sha256:29635e028e34bf21b76766a29917483a9bcb24439eb4b577617c085b8bba4dc6

Observation fe8b1ad9-a7e7-4a7d-a425-3af0879ef6a5 · inbound

RouteRec: Strict Evaluation of Recommender-Agent Selection and Aggregation cites this paper.

RouteRec: Strict Evaluation of Recommender-Agent Selection and Aggregation Large Language Model Routing with Benchmark Datasets

Reference 26

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unresolved
no resolver link, observed 2026-07-14T14:41:04.979785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T14:41:04.979785Z digest=sha256:39764953d7c303d2a3c0b63a1dc3a42eef725b15c391a0593eca36e04ba9a8b9

Observation fe41bf20-c903-4283-908a-6f52e49ce7da · inbound

Agentic Routing: The Harness-Native Data Flywheel cites this paper.

Agentic Routing: The Harness-Native Data Flywheel Large Language Model Routing with Benchmark Datasets

Reference 27

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no resolver link, observed 2026-07-14T05:52:07.869069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T05:52:07.869069Z digest=sha256:c634c14db2606ea8718ffa077f0e4d21e61132028be8aaa0e033a17f2fe46493

Observation de173938-26a7-4d79-ba08-1aff4cdf4cfc · inbound

TriAgent: Divergence-Aware Multi-Agent Committees for Cost-Efficient Financial Sentiment Analysis cites this paper.

TriAgent: Divergence-Aware Multi-Agent Committees for Cost-Efficient Financial Sentiment Analysis Large Language Model Routing with Benchmark Datasets

Reference 2009

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unresolved
no resolver link, observed 2026-08-01T11:45:22.255870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T11:45:22.255870Z digest=sha256:d7034e21ab50c39356a53b0caf6709f5586bfc1b44c3b3a8b1f82b415603ae2d

Observation ec40c102-8d13-4c0a-9139-057f0720bb22 · inbound

Codifying the Judge: Scalable Evaluation via Program Distillation cites this paper.

Codifying the Judge: Scalable Evaluation via Program Distillation Large Language Model Routing with Benchmark Datasets

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-02T12:49:14.475806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:49:14.475806Z digest=sha256:d0d88c667f460b072eeff79f1dbe049b483312c0a378f7f6967d139cfc1031cc

Observation b4948b6a-3262-4088-917c-79cd546de45d · inbound

Conformal Cascade: Distribution-Free Accuracy Guarantees for Multi-Tier LLM Inference cites this paper.

Conformal Cascade: Distribution-Free Accuracy Guarantees for Multi-Tier LLM Inference Large Language Model Routing with Benchmark Datasets

Reference 2008

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unresolved
no resolver link, observed 2026-07-31T03:38:02.059763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T03:38:02.059763Z digest=sha256:95e403a0ac83bc8db7e18cda1769c38574af432839dc6398c8ea92a8e81e60b6

Observation 7b7bedb2-9a35-47f7-bd3b-327574934817 · inbound

Conformal Cascade: Distribution-Free Accuracy Guarantees for Multi-Tier LLM Inference cites this paper.

Conformal Cascade: Distribution-Free Accuracy Guarantees for Multi-Tier LLM Inference Large Language Model Routing with Benchmark Datasets

Reference 2008

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unresolved
no resolver link, observed 2026-08-03T01:49:18.939443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T01:49:18.939443Z digest=sha256:513f2e1b7b3050ca9630a57032650de6c28e4d1deb4e03491cafcc86d63b4699

Observation 8b09e4e5-502f-4dd1-b6aa-9b1d780a376f · inbound

Scrouting: Cost-Aware Routing of Coding Agents by Scouting the Repository First cites this paper.

Scrouting: Cost-Aware Routing of Coding Agents by Scouting the Repository First Large Language Model Routing with Benchmark Datasets

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T16:21:11.026627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:21:11.026627Z digest=sha256:89ae780e0d67269f8cfa517b74b9a78e601b6097c9e0f3898abf43cca6376a31

Observation 7b83d6a5-bad3-47a1-842e-b2926fc4cc41 · inbound

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers cites this paper.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Large Language Model Routing with Benchmark Datasets

Reference 75

Resolution
unresolved
no resolver link, observed 2026-08-15T14:34:14.029724Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:34:14.029724Z digest=sha256:75b076a80a3b2a792d2f43830b94d0c9722dce670bf6c3b3371f2ff26e8171de

Observation 2f57e2d6-804d-47f0-98e9-a51b9c707e97 · inbound

Task-to-Model Optimization for Enterprise LLM Coding Assistants: A Data-Driven Framework for Cost-Optimal Routing cites this paper.

Task-to-Model Optimization for Enterprise LLM Coding Assistants: A Data-Driven Framework for Cost-Optimal Routing Large Language Model Routing with Benchmark Datasets

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T04:36:54.854111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T04:36:54.854111Z digest=sha256:23b7a9ae31b3811b8e61e4dee8f695c7dc1c7e4cc60170b85c068d74c52007a8

Observation ec991bd0-fbc5-4833-97ac-63935795d2ae · inbound

Who Thinks Best Depends on How Long You Let Them: Budget-Dependent Rankings in LLM Evaluation cites this paper.

Who Thinks Best Depends on How Long You Let Them: Budget-Dependent Rankings in LLM Evaluation Large Language Model Routing with Benchmark Datasets

Reference 11

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unresolved
no resolver link, observed 2026-08-16T00:18:49.945835Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:18:49.945835Z digest=sha256:a69de0dd3acf19216c853632b5c2277a4e8b5bb2659cf7582e42e980c7844795