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Paper Citation Record · LEDGER

Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 33 inbound Pith citation observations for arXiv:2311.08692.

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

pith.paper-citation-record.v1
2311.08692 v1

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 2026-08-15T06:32:42.880941+00:00

measured 33 of 33 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:32:08.493334Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T14:13:30.213537Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9926eabf-7770-43fb-ab6f-df1b602d0f6f · inbound

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

RouteLLM: Learning to Route LLMs with Preference Data Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 22

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verified exact
arxiv_id, observed 2026-05-11T23:27:40.641302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-11T23:27:40.397360Z digest=sha256:08dfafbb8a22ea99072f9eef6eb3bb2a2c1ab2c2661fb2f8cf38145e7528260a

Observation e9272aee-7acf-4ea7-9ca8-1c6e9ba74364 · 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 Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 21

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no resolver link, observed 2026-08-12T16:16:26.246128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T16:16:26.246128Z digest=sha256:d004c145f18e6f7ad4d47eaeeb5f79fd6d0e4705055d8ecb05f2b5d39cdfa7bb

Observation 8b219d3b-90b1-4613-b0ab-da9dcec7883c · inbound

Composition of Experts: A Modular Compound AI System Leveraging Large Language Models cites this paper.

Composition of Experts: A Modular Compound AI System Leveraging Large Language Models Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 8

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no resolver link, observed 2026-08-12T04:41:03.398479Z

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source=pdf_text observed=2026-08-12T04:41:03.398479Z digest=sha256:e3ff9c0fcd47c4f7bbf5f20d7e84b3cfe282001bc520baceba4aba7174293859

Observation 57277969-8989-45d8-921a-362d10797cda · inbound

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

PickLLM: Context-Aware RL-Assisted Large Language Model Routing Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 15

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no resolver link, observed 2026-08-11T17:29:02.785736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T17:29:02.785736Z digest=sha256:e74172bcc85239735de5f0a95a831a9d00de3a6311ddbddc60c08fbe4335057b

Observation aa2ae178-81b5-4355-99b9-07f9d5b52544 · inbound

Trigger$^3$: Refining Query Correction via Adaptive Model Selector cites this paper.

Trigger$^3$: Refining Query Correction via Adaptive Model Selector Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 19

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no resolver link, observed 2026-08-11T13:53:39.345921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:53:39.345921Z digest=sha256:9c9bc91c000a972e06d0f8b1a90287be63e048841429ea16b14197d43ddde9b7

Observation e0691b77-c426-4ad2-885d-5efba5a35940 · inbound

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

Channel Merging: Preserving Specialization for Merged Experts Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 35

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no resolver link, observed 2026-08-11T12:40:16.205215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T12:40:16.205215Z digest=sha256:ed9562543fa91b2b02b372cdf8851025a6e8df8a49ae9eae3f7534760d84f140

Observation 7b5a381e-a7cc-4c01-8216-a741e5be06f6 · inbound

Unsupervised Query Routing for Retrieval Augmented Generation cites this paper.

Unsupervised Query Routing for Retrieval Augmented Generation Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 8

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no resolver link, observed 2026-08-10T20:40:24.614688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:40:24.614688Z digest=sha256:5340d26a0798630b15bf12bc44cc279b77192600ea4d5e1130de6927963fa387

Observation 26cd1e96-7607-4fa0-b425-3844ef8e213e · inbound

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction cites this paper.

Faster Machine Translation Ensembling with Reinforcement Learning and Competitive Correction Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 19

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no resolver link, observed 2026-08-10T14:33:23.104079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:33:23.104079Z digest=sha256:0a6d068e21814e837ceeff6ac52f1b3b40d8a589585e6d0c8ccaddee5d075240

Observation 517ea66b-70f8-406e-be2c-9311ec9283b1 · inbound

What should an AI assessor optimise for? cites this paper.

What should an AI assessor optimise for? Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 47

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no resolver link, observed 2026-08-09T19:24:07.381061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:24:07.381061Z digest=sha256:4842a855d23b645208df1e95b1d6c6a393d38706833e10a9d9671ba6708c8f88

Observation 066b67fa-bd07-41a5-995a-5b4f6ab1a320 · inbound

Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial? cites this paper.

Rethinking Mixture-of-Agents: Is Mixing Different Large Language Models Beneficial? Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 18

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no resolver link, observed 2026-08-09T18:11:28.148319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:11:28.148319Z digest=sha256:553d95a04372e016e5fe58f71c31dbc3ef4146c3ae6841b74ac10c6474cf638e

Observation d2b8a880-4c2a-4ee9-a89f-fe0377bb164d · inbound

Fast Large Language Model Collaborative Decoding via Speculation cites this paper.

Fast Large Language Model Collaborative Decoding via Speculation Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 26

Resolution
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no resolver link, observed 2026-08-09T19:34:42.841795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:34:42.841795Z digest=sha256:ceeaa3666a832c52ecce762cc4ad1d27a0caa26da459f5c4d50f11dade3bc8af

Observation 16ca6e8b-007c-4e4d-8b93-4a380184e658 · inbound

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing cites this paper.

CITER: Collaborative Inference for Efficient Large Language Model Decoding with Token-Level Routing Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 33

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no resolver link, observed 2026-08-09T13:58:45.374081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T13:58:45.374081Z digest=sha256:c56a204d55106b1314edebc5c32caab7cc46ac4c19b783fa44e55dd1b43ef9f9

Observation 7118ebd6-14d2-4dce-838f-52385c04b611 · 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 Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 21

Resolution
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no resolver link, observed 2026-08-09T11:22:28.917976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:22:28.917976Z digest=sha256:932d291d6ec67a0464335921c7476de62481e0f2bb96be91f3cef1d0b9e496de

Observation f85f4faa-ccea-41f0-a253-87dd79a6ca6e · inbound

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

When One LLM Drools, Multi-LLM Collaboration Rules Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 72

Resolution
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no resolver link, observed 2026-08-08T22:33:09.450594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T22:33:09.450594Z digest=sha256:8cd17b2a93f879f817cb253d3c80248405da48221c5457de22710c9931665a21

Observation abb4ff25-5c78-44c5-8e4d-d0fa3d6d76a8 · 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 Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 26

Resolution
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no resolver link, observed 2026-08-08T13:08:22.741204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T13:08:22.741204Z digest=sha256:36094bc3729a13545dc91b618c41acd10b1c3645af5d740d5570e85c8f36fe64

Observation 2272bea2-deb1-4b2b-94ca-5171387e14df · 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 Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:14:57.357049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-22T15:13:28.927880Z digest=sha256:70d0fdc72fd65a3a97a0c0d551d2d53a8e352fde635af0fe2c61ce434d87682a

Observation b2f5239e-f702-4185-8ac9-c9ea9028a953 · inbound

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

LightRouter: Towards Efficient LLM Collaboration with Minimal Overhead Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 2021

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no resolver link, observed 2026-08-07T15:11:17.453059Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:17.453059Z digest=sha256:9f817347687518a465d076ae4d922f159cd9e4bb59611e94833fa8f7b80147a8

Observation f2c06686-1f11-4f30-95ad-ab6ad3ccc422 · inbound

Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation cites this paper.

Enabling Flexible Multi-LLM Integration for Scalable Knowledge Aggregation Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 35

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no resolver link, observed 2026-08-07T13:10:01.189304Z

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source=pdf_text observed=2026-08-07T13:10:01.189304Z digest=sha256:29e4446dd9bc29209ed232bf932c2543f57e261e44dd79aec320b7056dff2a4e

Observation 11edae38-5819-4987-b16c-6c22dc203e40 · inbound

One for All: Update Parameterized Knowledge Across Multiple Models cites this paper.

One for All: Update Parameterized Knowledge Across Multiple Models Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 7

Resolution
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no resolver link, observed 2026-08-07T12:02:17.457767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:02:17.457767Z digest=sha256:4cc93e78330d136f5ef8058eaddb427c53d78ba6f1b544c434599a7b0733484b

Observation 15ecc7a5-f4da-4959-a30b-e16fd330591c · 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 Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 35

Resolution
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no resolver link, observed 2026-08-07T12:00:11.691257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:00:11.691257Z digest=sha256:8b9e932cff8f07314b2e00faf056842e343e0bf6eda895a48b2a4e68b02ad427

Observation 9a17a9eb-7e34-45b2-871d-73a3db0b36cf · inbound

RewardAnything: Generalizable Principle-Following Reward Models cites this paper.

RewardAnything: Generalizable Principle-Following Reward Models Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 45

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no resolver link, observed 2026-08-07T11:04:06.892322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:04:06.892322Z digest=sha256:fe48bb1bf728c055738a724208a76860f46b730cc40455ca7dad710231350d47

Observation c53fac9d-a16e-49b1-9c65-099db0fc7b9b · 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 Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 16

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no resolver link, observed 2026-08-07T05:56:56.738323Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:56.738323Z digest=sha256:1c4c37cc098c51ddabb9e7c00c6c770d2693f3b290d4d797810f05b8b2d3bbdf

Observation f41a9391-1486-46d8-94a4-5e0be6c5c641 · inbound

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

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 31

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no resolver link, observed 2026-08-06T22:05:28.010601Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:05:28.010601Z digest=sha256:5b2e4d61db3198fdf572df576d42db8c2a8042460922682ae65a28c10a3b9eef

Observation e8578aff-60bd-4b87-a2f6-fbdf9c4f6b1c · inbound

Tiny Reward Models cites this paper.

Tiny Reward Models Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 28

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:48:07.159727Z digest=sha256:ffeaa6f357b2523f3582e3b40cb7fe7450be7df8a1e974321db540fc2237a330

Observation 46054713-9086-4374-8f76-8573af26b08a · 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 Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:30:46.038352Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-21T23:26:38.457193Z digest=sha256:4b326096b7760bb9ea39d97d6b5f95cf6d9912ab6ec6aeb38647c0d09ce70639

Observation c3c4b001-6546-45ba-b1e2-86507aa5b3cd · 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 Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 14

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no resolver link, observed 2026-08-06T10:22:42.487916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:22:42.487916Z digest=sha256:1884e04a58314d4de41c63330727f4b82641a17a6a378460693fe399e8e4a3c7

Observation ae5693ab-bf8d-47bc-8061-c5e136422c6f · inbound

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

Delta Activations: A Representation for Finetuned Large Language Models Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 38

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no resolver link, observed 2026-08-15T16:32:08.493334Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:32:08.493334Z digest=sha256:eb4c6def42e4015ebf705d00714cf75a85d7024c6b22f9d233037a16a1c77349

Observation 0fad8384-2d4d-479b-a8f4-f7cce359867c · inbound

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference cites this paper.

Towards Generalized Routing: Model and Agent Orchestration for Adaptive and Efficient Inference Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 17

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no resolver link, observed 2026-08-04T22:03:02.028525Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:03:02.028525Z digest=sha256:77650dad53330573593941e83b230ff41c109fc4b17bc08ad9275bd251cda6ac

Observation 83ae4ec0-33b2-43a8-b6f3-21c18cddb81c · inbound

Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collaboration cites this paper.

Optimal-Agent-Selection: State-Aware Routing Framework for Efficient Multi-Agent Collaboration Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 20

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no resolver link, observed 2026-08-04T00:16:18.050879Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:16:18.050879Z digest=sha256:03995a04d6d483d95b258898a531e1a2fec87952cda026d088fb402a9cc43380

Observation aa594b17-438f-4f74-8416-1572d79643b2 · inbound

Unsolvability Ceiling in Multi-LLM Routing: An Empirical Study of Evaluation Artifacts cites this paper.

Unsolvability Ceiling in Multi-LLM Routing: An Empirical Study of Evaluation Artifacts Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T04:15:58.238171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-11T01:52:18.146336Z digest=sha256:5748ca898f08d1738bd3016493a570fb4436c95e2336bd3ad47afc1831cb71bb

Observation cf8f819a-950d-4d29-95bd-392273c2a11c · inbound

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

HyDRA: Hybrid Dynamic Routing Architecture for Heterogeneous LLM Pools Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T15:13:31.966933Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-20T15:13:27.898371Z digest=sha256:aa2b0f44fa53b923f662b990dd1f4f6a49936e9da54a0cea59644230617981b9

Observation d566c921-c088-4506-8af4-2f340298a794 · inbound

The Routing Plateau: Understanding and Breaking the Accuracy Limits of LLM Routers cites this paper.

The Routing Plateau: Understanding and Breaking the Accuracy Limits of LLM Routers Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:13:30.214907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-29T14:07:26.366172Z digest=sha256:5e93f2e77691b07b32e766bf65383d09d774e5b7602842078378fa3f69edd246

Observation 80f544e5-6b27-4710-96f9-7482b70a38db · inbound

Decentralized Aggregation of LLM Predictions via Wagering Mechanisms cites this paper.

Decentralized Aggregation of LLM Predictions via Wagering Mechanisms Routing to the Expert: Efficient Reward-guided Ensemble of Large Language Models

Reference 1

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no resolver link, observed 2026-07-11T19:31:58.491532Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:31:58.491532Z digest=sha256:870652a414db973e33593866fc4e7a4cd4df3629263469d363c0737283866550