Paper Citation Record · LEDGER

Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2308.11601.

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

pith.paper-citation-record.v1
2308.11601 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:10:53.538164Z

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
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
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 dbbcadad-b909-4d05-a1ff-e0044d273cc2 · 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 Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T19:10:53.538164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be890cb1-f802-4b56-bfe0-83c21c0d636d · 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 Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 2013

Resolution: unresolved; no resolver link, observed 2026-08-09T11:22:28.873531Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47d14d2c-2a78-43e7-8d8d-f9fba466f5ff · inbound

Universal Model Routing for Efficient LLM Inference cites this paper.

Universal Model Routing for Efficient LLM Inference Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T23:48:00.934127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27168892-f13b-41cc-9baa-4c8bb3748042 · inbound

ORI: O Routing Intelligence cites this paper.

ORI: O Routing Intelligence Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T19:40:07.745899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92723ff5-24c1-4d7f-9488-67bbbdd78adf · 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 Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-22T15:14:57.463753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 451460e1-f884-4ab0-bcd1-70e4028ada05 · 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 Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T12:00:10.497442Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b153ab8-f3a6-4034-be29-cb7af28c0ff2 · 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 Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-07T05:56:56.924187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb594062-b4d0-4da4-b203-791ef45a2bda · inbound

Economic Evaluation of LLMs cites this paper.

Economic Evaluation of LLMs Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T20:05:18.195594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5af22fe2-439c-44a9-9b7a-c37e3d449453 · inbound

A Greedy PDE Router for Blending Neural Operators and Classical Methods cites this paper.

A Greedy PDE Router for Blending Neural Operators and Classical Methods Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-18T12:32:36.199507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bc3c2ffb-ec9e-4a2f-bff3-cb3af70fc085 · inbound

Capturing LLM Capabilities via Evidence-Calibrated Query Clustering cites this paper.

Capturing LLM Capabilities via Evidence-Calibrated Query Clustering Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-20T15:08:25.112308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation e9bc57d9-2ff3-437e-bcff-0c2e7cd2bac8 · inbound

Capturing LLM Capabilities via Evidence-Calibrated Query Clustering cites this paper.

Capturing LLM Capabilities via Evidence-Calibrated Query Clustering Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-06-30T19:05:00.984836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9bdfa1dc-7fb5-424b-9628-f636332fcc67 · inbound

When Efficiency Backfires: Cascading LLMs Trigger Cascade Failure under Adversarial Attack cites this paper.

When Efficiency Backfires: Cascading LLMs Trigger Cascade Failure under Adversarial Attack Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:02:53.702571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5d280dea-e41f-46e0-bcd9-bfca149d88c4 · inbound

Optimizing the Cost-Quality Tradeoff of Agentic Theorem Provers in Lean cites this paper.

Optimizing the Cost-Quality Tradeoff of Agentic Theorem Provers in Lean Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-06-28T06:11:42.484207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 53c0b3ae-5eb4-42c5-b4a6-9694e1b7ec4f · 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 Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 125

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:17:08.764825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation bd2dd4cc-4d43-40d0-8eef-58602cad7701 · inbound

Online Pandora's Box for Contextual LLM Cascading cites this paper.

Online Pandora's Box for Contextual LLM Cascading Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 82

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T17:37:14.290160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a19e310d-d168-4359-b7de-f0f6e2b43612 · inbound

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

SWE-Router: Routing in Multi-turn Agentic Software Engineering Tasks Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T18:37:16.490544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 02d9e9dc-bb67-449c-9c5d-15c508457a90 · inbound

Codifying the Judge: Scalable Evaluation via Program Distillation cites this paper.

Codifying the Judge: Scalable Evaluation via Program Distillation Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-02T12:49:14.576579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 824ff4c3-7096-4b79-9906-799ef205cf63 · 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 Tryage: Real-time, intelligent Routing of User Prompts to Large Language Models

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-04T07:49:39.973177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.