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Paper Citation Record · LEDGER

AutoMix: Automatically Mixing Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 35 inbound Pith citation observations for arXiv:2310.12963.

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

pith.paper-citation-record.v1
2310.12963 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 35 of 35 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:22:28.927497Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
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  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

5
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a419bfe5-5e70-45b4-8c17-e5f6013375d0 · inbound

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

RouteLLM: Learning to Route LLMs with Preference Data AutoMix: Automatically Mixing Language Models

Reference 2

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arxiv_id, observed 2026-05-11T23:27:40.472480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-11T23:27:40.397360Z digest=sha256:a730cf92e6388840079360420127bda42fd030f559bf7f8699eb50dd06c59419

Observation 16c9d560-9698-43ac-9b70-cd41016aac05 · inbound

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning cites this paper.

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning AutoMix: Automatically Mixing Language Models

Reference 16

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arxiv_id, observed 2026-05-23T18:48:20.470333Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-23T18:46:08.566035Z digest=sha256:d54e4f053901f6a59aea10e91e9fa56eccde737307063617ac5f90d6c2947086

Observation 56a7bc7c-ac5f-41a9-9305-3a4ae2b2ba86 · 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 AutoMix: Automatically Mixing Language Models

Reference 23

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unresolved
no resolver link, observed 2026-08-09T11:22:28.927497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:22:28.927497Z digest=sha256:5c992b6e73b39ac51455e8cfd26a67568ade1764e6e8fb8091c180a6ba9b3996

Observation 91be5564-90b9-4087-adf9-5667b03707f3 · inbound

ORI: O Routing Intelligence cites this paper.

ORI: O Routing Intelligence AutoMix: Automatically Mixing Language Models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T19:40:07.540624Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T19:40:07.540624Z digest=sha256:bf591bd41c975ce9308f272a9cf88b58aa1bf520aea7eebf844a7eef5840166a

Observation ef495cb5-b949-4a15-ace5-facfcc6dd550 · inbound

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble cites this paper.

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble AutoMix: Automatically Mixing Language Models

Reference 2

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verified exact
arxiv_id, observed 2026-05-23T02:25:19.616364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-23T02:22:28.649071Z digest=sha256:be9f230e6a41aed2de9ae1b47bf349acb9839b09e531bc8e6a5f69159309d490

Observation 29e44bef-f0c6-42ec-8f38-4bf121f13adf · inbound

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

MixLLM: Dynamic Routing in Mixed Large Language Models AutoMix: Automatically Mixing Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-08T18:11:31.734433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:11:31.734433Z digest=sha256:e1db329c81ac2e68949d707cbcce345fdce48585f206609710805f20c833df9f

Observation 790480a9-e059-4f4b-88e1-684fda24fd73 · inbound

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models cites this paper.

Conformal Arbitrage: Risk-Controlled Balancing of Competing Objectives in Language Models AutoMix: Automatically Mixing Language Models

Reference 2

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unresolved
no resolver link, observed 2026-08-07T12:01:38.266237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:01:38.266237Z digest=sha256:651033b45117ee9f2d39e9c93d344c1dc1dceaf8d4e1ccf6c199c1766ff8f7ac

Observation 89fdcf88-ec41-4d37-9ff6-52453297d778 · 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 AutoMix: Automatically Mixing Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:00:09.073114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:00:09.073114Z digest=sha256:48d095a562a7ba0a43d65f2f73449516f9f35a6e95e30e5f8aebe2462d8b4fa5

Observation fd6524a2-e721-4cb8-8606-52316e8eb167 · inbound

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques cites this paper.

Towards Efficient Multi-LLM Inference: Characterization and Analysis of LLM Routing and Hierarchical Techniques AutoMix: Automatically Mixing Language Models

Reference 75

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unresolved
no resolver link, observed 2026-08-07T05:56:56.966738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:56.966738Z digest=sha256:c64d189a66145c3eb3a17dc60bcb4cc757b2419e3f967d690bd7977fb0cc6ffe

Observation b7263dce-ec16-46a4-9166-5f4ef557e2e3 · inbound

Orchestration for Domain-specific Edge-Cloud Language Models cites this paper.

Orchestration for Domain-specific Edge-Cloud Language Models AutoMix: Automatically Mixing Language Models

Reference 1

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unresolved
no resolver link, observed 2026-08-06T18:10:13.108112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:10:13.108112Z digest=sha256:adcddb54369aa096f305cde56ac0346b88a0c178b94be12bb85d5cdfbb3c40bd

Observation 7b8ac308-d1ab-409f-aea3-375d39550eee · inbound

R2-Router: A New Paradigm for LLM Routing with Reasoning cites this paper.

R2-Router: A New Paradigm for LLM Routing with Reasoning AutoMix: Automatically Mixing Language Models

Reference 1

Resolution
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no resolver link, observed 2026-08-03T05:17:29.120274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:17:29.120274Z digest=sha256:fba2d7cb4f6482f9ca00a6483b03ad6bb971fe2b39338b48ba2be6becf192e34

Observation 26e92b33-8558-440f-a26c-61f6e5ea4a2e · inbound

vLLM Semantic Router: Signal Driven Decision Routing for Mixture-of-Modality Models cites this paper.

vLLM Semantic Router: Signal Driven Decision Routing for Mixture-of-Modality Models AutoMix: Automatically Mixing Language Models

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-02T21:31:16.425570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:31:16.425570Z digest=sha256:968077004aff37a9b5dc1ea2080bce5f1fcd1ac326ca5c8888ed0d9c3a95bb08

Observation 3dbda309-4d3a-49c3-85cc-8d4bf1b0e471 · inbound

The Workload-Router-Pool Architecture for LLM Inference Optimization: A Vision Paper from the vLLM Semantic Router Project cites this paper.

The Workload-Router-Pool Architecture for LLM Inference Optimization: A Vision Paper from the vLLM Semantic Router Project AutoMix: Automatically Mixing Language Models

Reference 93

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verified exact
arxiv_id, observed 2026-05-15T06:45:12.191474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T06:40:27.945478Z digest=sha256:1ed42982bc82a63482dad350fff91b704b37b7a9701186a3a84ab8d0fac679ea

Observation a422cf7a-cc2f-47bf-8b98-2187732dbbc3 · inbound

RouterWise: Joint Resource Allocation and Routing for Latency-Aware Multi-Model LLM Serving cites this paper.

RouterWise: Joint Resource Allocation and Routing for Latency-Aware Multi-Model LLM Serving AutoMix: Automatically Mixing Language Models

Reference 23

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verified exact
arxiv_id, observed 2026-05-10T21:25:52.476420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T16:36:25.868623Z digest=sha256:fbc5d0273636a0692e2143458fffec3602ffc86df212edd7cdb8e7181ba6b78f

Observation 2f9f971e-e618-4bd6-b2ed-e91029ff24a3 · inbound

Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization cites this paper.

Route to Rome Attack: Directing LLM Routers to Expensive Models via Adversarial Suffix Optimization AutoMix: Automatically Mixing Language Models

Reference 3

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arxiv_id, observed 2026-05-10T11:00:04.320599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-10T10:57:25.591595Z digest=sha256:b859d9864ced8c36cd420f233f60f43470f48eb003ed1c6ebc3d010fb0571d7b

Observation f7ca4fd2-9b00-4328-9f50-5afbde04584e · inbound

Privacy-Preserving LLMs Routing cites this paper.

Privacy-Preserving LLMs Routing AutoMix: Automatically Mixing Language Models

Reference 1

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metadata mismatch
arxiv_id, observed 2026-05-10T08:32:51.641719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T08:32:43.015370Z digest=sha256:38a1d04b151e5aa8c262233155273231d7cfb3d47a2c92d0c78d431911c43565

Observation 50d98c08-2a46-4f73-bf8c-d7461116f7db · inbound

Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models cites this paper.

Walking Through Uncertainty: An Empirical Study of Uncertainty Estimation for Audio-Aware Large Language Models AutoMix: Automatically Mixing Language Models

Reference 81

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arxiv_id, observed 2026-05-12T00:41:26.346764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-07T14:29:18.348031Z digest=sha256:023b9f4c216c5dcf737a5a689e509e97502f021efcfe9591050f7246131c6464

Observation 83358d50-5301-479c-b833-86fbddda4cb9 · inbound

AgentFloor: How Far Up the tool use Ladder Can Small Open-Weight Models Go? cites this paper.

AgentFloor: How Far Up the tool use Ladder Can Small Open-Weight Models Go? AutoMix: Automatically Mixing Language Models

Reference 12

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T15:21:10.410861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-09T20:09:11.566825Z digest=sha256:78961697220d28bad19d1e4a1bae9f32f29fe0584b83a463f118ff2494bffa24

Observation a0bbc75b-97dd-4d86-a46b-dc1c021ad14a · inbound

Uno-Orchestra: Parsimonious Agent Routing via Selective Delegation cites this paper.

Uno-Orchestra: Parsimonious Agent Routing via Selective Delegation AutoMix: Automatically Mixing Language Models

Reference 2

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verified exact
arxiv_id, observed 2026-05-09T06:50:40.650533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-08T18:05:23.536174Z digest=sha256:442a367a476f08619f6cd7158992907ce41f2862bbdfaf81125bf3af31491ec0

Observation 302719b0-c107-4821-9546-765d3deb7459 · inbound

Reasoning Is Not Free: Robust Adaptive Cost-Efficient Routing for LLM-as-a-Judge cites this paper.

Reasoning Is Not Free: Robust Adaptive Cost-Efficient Routing for LLM-as-a-Judge AutoMix: Automatically Mixing Language Models

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T06:26:23.671166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T04:19:00.238602Z digest=sha256:facefa0fa171fb8e760736cfb3eef1e6d53b8a4bcde204a8c08a2dd67da06412

Observation f0ef2da5-10ee-48c9-be83-9d2ae92bb387 · inbound

LatentRouter: Can We Choose the Right Multimodal Model Before Seeing Its Answer? cites this paper.

LatentRouter: Can We Choose the Right Multimodal Model Before Seeing Its Answer? AutoMix: Automatically Mixing Language Models

Reference 1

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verified exact
arxiv_id, observed 2026-05-13T01:47:04.413953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-13T01:42:54.802658Z digest=sha256:ac07bdf42dcfae85eb19b9baedc29fc831c21afb92cc93ebe177b9f92b8b6017

Observation 6e1e06b0-b2b8-45a5-a2f4-9a298cd133be · inbound

HyDRA: Hybrid Dynamic Routing Architecture for Heterogeneous LLM Pools cites this paper.

HyDRA: Hybrid Dynamic Routing Architecture for Heterogeneous LLM Pools AutoMix: Automatically Mixing Language Models

Reference 9

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arxiv_id, observed 2026-05-20T15:13:31.954050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T15:13:27.898371Z digest=sha256:b5e679b632fc1a45c65bc09269c189bc72b6ccff7f6a078b68f65c587cb150bd

Observation 685b30ea-f788-4768-bd6c-ac121d1b2ecb · inbound

DecisionBench: A Benchmark for Emergent Delegation in Long-Horizon Agentic Workflows cites this paper.

DecisionBench: A Benchmark for Emergent Delegation in Long-Horizon Agentic Workflows AutoMix: Automatically Mixing Language Models

Reference 23

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arxiv_id, observed 2026-05-20T10:18:11.737787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T10:16:38.920528Z digest=sha256:f96c3f37977ca432ff02dbe0e37783576b4cd08048f8b2ae282c7ace593531fe

Observation 3a8e005f-a3d0-4eac-8a4e-92162d76f4a0 · inbound

LLMs Show No Signs Of Individuated Metacognition cites this paper.

LLMs Show No Signs Of Individuated Metacognition AutoMix: Automatically Mixing Language Models

Reference 1

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arxiv_id, observed 2026-06-30T15:24:49.976627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-30T15:20:38.799207Z digest=sha256:05ef9b078478e97e45cca1af2801ea3f18cea53579921ff37c6e13e3a0320d0d

Observation 292b004d-59be-4a0d-a008-d8f4e0acf6b7 · inbound

DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners? cites this paper.

DIRECT: When and Where Should You Allocate Test-Time Compute in Embodied Planners? AutoMix: Automatically Mixing Language Models

Reference 18

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arxiv_id, observed 2026-07-03T11:08:03.028504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T09:42:17.813126Z digest=sha256:197a0ce9bd86ee9b4ad5b3cfdbe0ea733d7a82917b1522e3cb591cc121b29cd0

Observation e78abb30-0538-4b59-9386-5ca582bdca9d · inbound

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

Selective Ensemble Based on Preference-Directed Multi-Objective Bandits AutoMix: Automatically Mixing Language Models

Reference 54

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metadata mismatch
arxiv_id, observed 2026-07-04T07:59:40.321226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T12:20:27.240829Z digest=sha256:2ca8cb87f35b48edfd8ae2ca5c8aa722bf8eb94d9eec95906f47f691a9b6e954

Observation 865e11cb-6d15-4afd-89e4-f47b1f83dc9b · inbound

When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models cites this paper.

When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models AutoMix: Automatically Mixing Language Models

Reference 25

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verified exact
arxiv_id, observed 2026-07-04T14:19:53.633575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T04:20:02.722108Z digest=sha256:b36dbd9c941dd968dc0748c3ee9aa76db0dd7a07b32e5dc8165a414a599cab19

Observation 8e369335-7454-401e-8e41-62378256266a · inbound

Neural Subspace Reallocation: Continual Learning as Retrieval-Based Subspace Memory Management cites this paper.

Neural Subspace Reallocation: Continual Learning as Retrieval-Based Subspace Memory Management AutoMix: Automatically Mixing Language Models

Reference 19

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verified exact
arxiv_id, observed 2026-06-30T07:14:21.443987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-30T07:09:04.341635Z digest=sha256:694b6d5a62313fd1b38eca6b8c55f32a0fb4f5dfcbc571f3cdd4a97855916d01

Observation 31d00690-c0c3-4d8c-a128-0b91be813a6e · inbound

ComplianceGate: Classifier-Gated Multi-Tier LLM Routing for Inference in Regulated Industries cites this paper.

ComplianceGate: Classifier-Gated Multi-Tier LLM Routing for Inference in Regulated Industries AutoMix: Automatically Mixing Language Models

Reference 3

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verified exact
arxiv_id, observed 2026-07-01T08:55:35.896952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-01T06:50:19.566682Z digest=sha256:530e9c00b47f9760eecf447ff2b3d9feac4048fb655711191cd3ed7030345225

Observation 6693918d-31a3-40f9-b8cd-d56e86645206 · inbound

ComplianceGate: Classifier-Gated Multi-Tier LLM Routing for Inference in Regulated Industries cites this paper.

ComplianceGate: Classifier-Gated Multi-Tier LLM Routing for Inference in Regulated Industries AutoMix: Automatically Mixing Language Models

Reference 3

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verified exact
arxiv_id, observed 2026-07-02T20:17:21.091082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-07-02T20:16:17.328340Z digest=sha256:ecd1c1b9edb20e3abc8ef178c3d99a568ab49b1d48c6981a0068cb80bb50398b

Observation d7426d07-d2e7-4acb-91e1-83be31590de6 · inbound

SWE-Router: Routing in Multi-turn Agentic Software Engineering Tasks cites this paper.

SWE-Router: Routing in Multi-turn Agentic Software Engineering Tasks AutoMix: Automatically Mixing Language Models

Reference 55

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T18:37:16.536600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-07-02T18:19:43.146102Z digest=sha256:4a0301f976b773b33e2254bd5774581097b18e64cf18e62c13f47e69f830e6c2

Observation 0c6c419b-67e0-46c8-b3a9-d442888cd10c · inbound

A Workflow-Aware Serving Layer for Agentic Applications cites this paper.

A Workflow-Aware Serving Layer for Agentic Applications AutoMix: Automatically Mixing Language Models

Reference 1

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unresolved
no resolver link, observed 2026-07-12T05:56:18.797766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T05:56:18.797766Z digest=sha256:d2bdd6383d33b3ab0afce0ce67811d0bc768e4e434f939bd50aabedf46965df5

Observation 56860fac-659b-46ae-9017-bee6b463b13e · inbound

CodeRescue: Budget-Calibrated Recovery Routing for Coding Agents cites this paper.

CodeRescue: Budget-Calibrated Recovery Routing for Coding Agents AutoMix: Automatically Mixing Language Models

Reference 2024

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unresolved
no resolver link, observed 2026-08-01T12:47:37.197753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T12:47:37.197753Z digest=sha256:1bd5d6a62fc9168f7cee63a52e2740e986749bdae030d2dbe7e9c178a14dbfbe

Observation d567b074-7194-4547-9479-8e36f8b2adbd · inbound

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness cites this paper.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness AutoMix: Automatically Mixing Language Models

Reference 9

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unresolved
no resolver link, observed 2026-07-31T02:16:44.804379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes cites this paper.

Training-Free versus Training-Based Intent Classification in LLMs: Accuracy, Robustness, and Failure Modes AutoMix: Automatically Mixing Language Models

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