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Paper Citation Record · LEDGER

Eagle: Efficient Training-Free Router for Multi-LLM Inference

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2409.15518.

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

pith.paper-citation-record.v1
2409.15518 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:10:53.956337Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:17:08.791793Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 112b880b-aa35-42c0-b8e4-b6c7de28f69a · 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 Eagle: Efficient Training-Free Router for Multi-LLM Inference

Reference 111

Resolution
unresolved
no resolver link, observed 2026-08-09T19:10:53.956337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:10:53.956337Z digest=sha256:d27aa00b7bada64d64f98d9c5b4c4057373b1fa759a9ccd902c6f3f6fc9547bc

Observation bbd77d84-474a-4913-8b03-b6b035e119d7 · inbound

Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization cites this paper.

Confident or Seek Stronger: Exploring Uncertainty-Based On-device LLM Routing From Benchmarking to Generalization Eagle: Efficient Training-Free Router for Multi-LLM Inference

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-08T22:49:51.838616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:49:51.838616Z digest=sha256:c6ea27fff094d1f1e04c9f13d95b1b7ed3c3eb82e0d6ba1ea15ae0328fafe1d1

Observation 00b09fc3-547a-44e8-a2e4-2122b90a3ec1 · inbound

Universal Model Routing for Efficient LLM Inference cites this paper.

Universal Model Routing for Efficient LLM Inference Eagle: Efficient Training-Free Router for Multi-LLM Inference

Reference 124

Resolution
unresolved
no resolver link, observed 2026-08-07T23:48:01.329565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:48:01.329565Z digest=sha256:9ef525ecbf79eb3e12f7b0afed83dbb4e6875f5d95e1c62f433bf3c1b63cb584

Observation 2f7d4db4-a22b-44ad-a11b-16bb34944740 · inbound

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

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble Eagle: Efficient Training-Free Router for Multi-LLM Inference

Reference 68

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:25:19.610595Z

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:c47f2d38e50891469d7ff692ac51cc461164a75531e7d354ce885b86cb4ad040

Observation 5a22afde-d7e6-473d-9f20-143d99cb8382 · 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 Eagle: Efficient Training-Free Router for Multi-LLM Inference

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:14:57.419615Z

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=2026-05-22T15:13:28.927880Z digest=sha256:7aeac0046052c23ce2bc9d168b68f3a3deee0bf86b194f56bb8540b7800f3300

Observation 84bba35c-068c-4311-90cc-026ef41ebde1 · inbound

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

Orchestration for Domain-specific Edge-Cloud Language Models Eagle: Efficient Training-Free Router for Multi-LLM Inference

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T18:10:15.604055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:10:15.604055Z digest=sha256:629728681b57183c0773bc8c630dd1639cd4ffef0043e5ac5e9cfbc8d04436cc

Observation 6f7900a0-9cbd-40a5-9bfd-a4e84da2a1da · 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 Eagle: Efficient Training-Free Router for Multi-LLM Inference

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T10:22:42.547078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:22:42.547078Z digest=sha256:04b24ce5611828b7958add10edba7699799722093f14ccc700283155c58845ff

Observation 8d1eb650-6742-4fe5-8b14-8dbdbccf5212 · 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 Eagle: Efficient Training-Free Router for Multi-LLM Inference

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-10T11:00:04.342891Z

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:d6c9aca4ba8302b5a6e14b7286fa36176e6eae3b0a41f195a764174b851d7377

Observation 527fce8b-9a2f-47fb-92bd-e306a53a3b93 · inbound

SynConfRoute: Syntax-Aware Routing for Efficient Code Completion with Small CodeLLMs cites this paper.

SynConfRoute: Syntax-Aware Routing for Efficient Code Completion with Small CodeLLMs Eagle: Efficient Training-Free Router for Multi-LLM Inference

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:26:10.461193Z

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=2026-05-08T16:00:26.489264Z digest=sha256:133e2df60f1817a4f65b222fc739e991038381c23533107c4e87065c99ddc657

Observation 9109b726-cc0c-4bf1-a792-f83db559a653 · inbound

Continual Model Routing in Evolving Model Hubs cites this paper.

Continual Model Routing in Evolving Model Hubs Eagle: Efficient Training-Free Router for Multi-LLM Inference

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:03:24.143084Z

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=2026-06-29T11:57:15.894309Z digest=sha256:3543ad31b1bb4020d6d2ebd742fef8f7dc8d48b84d182fed6bb6dd53160613f9

Observation ccd231f6-5b20-47e1-9557-d42c47591952 · inbound

From Sampled Outcomes to Capability Distributions: Rethinking Supervision for LLM Routing cites this paper.

From Sampled Outcomes to Capability Distributions: Rethinking Supervision for LLM Routing Eagle: Efficient Training-Free Router for Multi-LLM Inference

Reference 130

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:17:08.793132Z

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=2026-06-27T22:54:28.452796Z digest=sha256:c2690422ba193f8d181db12ef01e978f68700e118f18214079b8a85f1088c93f

Observation 55a21d27-9c78-472a-b511-5d2e450548c3 · 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 Eagle: Efficient Training-Free Router for Multi-LLM Inference

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-06-29T14:13:30.221426Z

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=2026-06-29T14:07:26.366172Z digest=sha256:f301f13158ee07afcb892657fffbe8e61eaeae2bca792c131c15ed0b3a5cef16

Observation 8ba81faf-df5e-4a2d-9b8f-5fa67e84f618 · 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 Eagle: Efficient Training-Free Router for Multi-LLM Inference

Reference 104

Resolution
unresolved
no resolver link, observed 2026-08-04T07:49:39.990363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:49:39.990363Z digest=sha256:c2431d6b18e7c9c0aa56d30dc5813c7a27c80b388b91131cb5474d33f7ea1880