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Paper Citation Record · LEDGER

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

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 22 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 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 22 of 22 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T13:58:45.374081Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T23:27:40.397360Z digest=sha256:6a50458c52973bcb25ca6f7b08693ac280cc9eae59b314d7623a5a97ea325ab2

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

Resolution
unresolved
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=sha256:69d76c5b5d3a73a23c404f38a822514d38fe7c29e494ed3543ee1b274944765c

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
unresolved
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=sha256:9b3df607ca7e1bc5ed79e668bed0a93c5a467ff1d8423089ec39f30e87a651f4

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
unresolved
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=sha256:9c65729bae31f1cb30e32b5a3985e617652117c0e63515625873a8a49171e236

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
unresolved
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:df9c459c6b7b4e472e1a9f59d1a71a30a855b3f5648ef6c6336aaf3fc496c864

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T15:13:28.927880Z digest=sha256:b0392b8a36f0aab342c0e5abfea70c6da555d3e1fc0829b37d45cee99327b4d3

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:11:17.453059Z digest=sha256:17255c5abfcab576a83f00daf84667916f35ddd58ce977bf8f69cf182fe721f1

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:10:01.189304Z digest=sha256:ac65aa752f4d10d22d4ea3d07bcb50e04902664777152857aea975d4543a24bb

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
unresolved
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:dfae22ed411cf0fc2d68ddab6471c7bf143fed2ac8911145245844bdacd502e1

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
unresolved
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:b99f3a4abbbb95d643fcf0978edd8668b68569835244cc715e6015309438554e

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

Resolution
unresolved
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:e138a15c67d74a50dcff486fa844a9c6a731416ed95c168fbd673d4d2e1ac92b

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:56.738323Z digest=sha256:49b69fe1c9217d54895990b32f4f7b7b70ff4680018c7961f40f7ddd33b2b6af

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T22:05:28.010601Z digest=sha256:de7de24c00f1fa2fd1fbea076e71b27d094c21a17dfcbc92f0c9bc380accb283

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

Resolution
unresolved
no resolver link, observed 2026-08-06T17:48:07.159727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T17:48:07.159727Z digest=sha256:f20562fe40420244b2147913ad3ce83606c4138f1009c095fc574aa5e9bb6987

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-21T23:26:38.457193Z digest=sha256:ce0500a4611995ceb35f8778a612b7ea39f1d2571cd80de4f1ccfa8838113387

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

Resolution
unresolved
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:f8fa0af73c93b93de0e607bb28114be92320067c7bfb91a3e2999efaa5f21e80

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T22:03:02.028525Z digest=sha256:86042ff01bbc6f28efcdaa1754845331f9c622b1d87a80bbbd6a0fda7bdad7f1

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:16:18.050879Z digest=sha256:151e7c0a97cc4be0227f2da59d039fa50d7b68e26d340cf0759abfcb4e099f8e

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-11T01:52:18.146336Z digest=sha256:72e15001fd390a317ef1eb40fc679999afff969de0ed2dc5e095a40fe8294c06

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-20T15:13:27.898371Z digest=sha256:421d86700e0eab0bebfefb8f97e4df9a5d625796d9eb918f81cd4ce822d77c65

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T14:07:26.366172Z digest=sha256:09bbd2f48436b1753f609349246e8ebb9541c949ea2d811cbb5bb83fa292b67f

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T19:31:58.491532Z digest=sha256:2a157bce75bd4d816223163243469ba4873679cecb439d2c1d28903cca8d21ee