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Paper Citation Record · LEDGER

AutoMix: Automatically Mixing Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 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 33 of 33 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 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T19:40:07.540624Z

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

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

source=arxiv_source observed=2026-05-11T23:27:40.397360Z digest=sha256:87f2a10c15b1c7c2165b73ab691f73653ea71e9ff0ed24c6e976abeeff4fed4d

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

source=arxiv_source observed=2026-05-23T18:46:08.566035Z digest=sha256:fec5df0b8e624c651e3f9dca0856613129a066c13aadefb11c872d0f11d6e96a

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

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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:e797995ff0daadc367d787320ca1d7e19daf6ceff4373dc4023c37407bd51cc2

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

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

source=pdf_text observed=2026-05-23T02:22:28.649071Z digest=sha256:b354e4e09eb9421727743dd8e6f795b68814031b1c885c2f9862543720ed992c

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:fc310116e5e9f6b3f189bfa0147795e911e047990efe202e20d529ba2e111c60

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=sha256:6be38dff425b6d918f09550da65d6e95417458864c000f49d5b69faa1a6172c2

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

Resolution
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=sha256:39e245d078361bbcac008065f0ec7fff5c7d4c85c0445b188a3c6489978e0c19

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

Resolution
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=sha256:28ed7091308d99c13fe30e43a123f693a2454b9e8bb42b67159dffa156b58798

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:f14856cdd27f579ad19b1a02ce5cdfa3ed5c20ee285b1d772371360696a69a06

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

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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:d4361a1570efd7734097304bd43a6c15539bfe3ac3fd87199d2bdefa591a7e72

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

source=pdf_text observed=2026-05-15T06:40:27.945478Z digest=sha256:d69330004be07236af595d0447374822e5d47f79849c8e063d497e2e6d9edd41

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

source=pdf_text observed=2026-05-10T16:36:25.868623Z digest=sha256:fa9c1e7606feb092c856596065e919acac5bf6a8ed2edcf1e7fdce7857368c5f

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

source=arxiv_source observed=2026-05-10T10:57:25.591595Z digest=sha256:ff45029eae69eedc2e0509c5c82115867947bfb1430115ffd93ee5ba900b8571

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

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

source=pdf_text observed=2026-05-10T08:32:43.015370Z digest=sha256:16de0b98081099c46ae82e5aa969379c3fdef45360504a0144746a2883b1c8dd

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

source=pdf_text observed=2026-05-07T14:29:18.348031Z digest=sha256:cdfcd8a94f01b5afcfc426afa3eb13693a12ee061f82c568255dce8b9c61b13d

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

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

source=arxiv_source observed=2026-05-09T20:09:11.566825Z digest=sha256:f79ec1ff59db71c0b51a98bf1f5198c6453f8c859c61013f3b56e5b8af237228

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

source=pdf_text observed=2026-05-08T18:05:23.536174Z digest=sha256:992b046f4dd0edf91d63cb318e0e72d8684bd37538a72b706e65352df5164d3b

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

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

source=pdf_text observed=2026-05-12T04:19:00.238602Z digest=sha256:a814e0495c3556888fc14b3334915cdfda110488a4dcaf901ce3897655317514

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

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

source=pdf_text observed=2026-05-13T01:42:54.802658Z digest=sha256:4f2b0962d22cfe8661224acc8642dbef1b640f675dfb9710be1d3af51e796023

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

source=pdf_text observed=2026-05-20T15:13:27.898371Z digest=sha256:2e984c173cb2c41f05f027a4e9ec469beb99fe6cdd130fdb1e2bed7525a3775b

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

source=pdf_text observed=2026-05-20T10:16:38.920528Z digest=sha256:e2cefb0487cee69c1f47da9db734d3ce94d88948d584da6acedda57fbb37b9a9

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

source=arxiv_source observed=2026-06-30T15:20:38.799207Z digest=sha256:7e42ef119a13ee1d61f5a48ee77b3c8644d588db16596750add9ce177620932f

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

source=pdf_text observed=2026-06-27T09:42:17.813126Z digest=sha256:b3cee56c42dd1cde798d69557a375242d122151854ac00a8ad86484de3fb01b4

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

source=arxiv_source observed=2026-06-26T12:20:27.240829Z digest=sha256:bca36652e91cf025715378d4ac3b6006b00768063b55b9eecbf6fff016f34dfd

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

source=pdf_text observed=2026-06-26T04:20:02.722108Z digest=sha256:18d4c2ac4cc8a8aa6a9330e94801ef4e3196e4961061766f39b9e8524736c3aa

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

source=arxiv_source observed=2026-06-30T07:09:04.341635Z digest=sha256:52f16456f02df53297dfb28773bda13cf009900301be7f52885e8caa95c05f6c

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

source=pdf_text observed=2026-07-01T06:50:19.566682Z digest=sha256:49bcc46772ef6db139fba4ecffb77f052a402545e49dc5dc6e6302b0fb15834f

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

source=pdf_text observed=2026-07-02T20:16:17.328340Z digest=sha256:a9414f5e3b94789e075577d4665a93faade5eccbc4584fce54717f4a17cd33ce

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

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

source=arxiv_source observed=2026-07-02T18:19:43.146102Z digest=sha256:06c79ffd22db1a1001583f68ae0356c667c7a1cd437baed1384dec3963786237

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=sha256:258949f9eec160ea5e67ccd2bdb7f376d26fa8bcbdf4dc5f83ae15fa3331cc31

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=sha256:781082e29fe7e7fd96bab8db90a2e65c8fb6f0d269a6038894e617067069c491

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.

source=pdf_text observed=2026-07-31T02:16:44.804379Z digest=sha256:f4119ca2d6244e4741e578a04ccb8b7611a57625b8975c5edda468c3dc202368

Observation aa629297-07ad-4b13-91e6-4c41aed6923b · inbound

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

Reference 101

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no resolver link, observed 2026-08-04T07:49:39.981349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:49:39.981349Z digest=sha256:54c9791dbc4c1578f261d143bb9da78b06b886b54c085831837d1d1a61c75bf6