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Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:56:56.924187Z

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 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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T15:13:28.927880Z digest=sha256:f2ff49f7e078ead68f7a629a0fa82cc7dadc9c901a023dbdb5d2beda27ef34ef

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.

source=pdf_text observed=2026-08-07T05:56:56.924187Z digest=sha256:9bc785e9c207eaa036a3227e735b86cda7a3aaee7e009110aaf109313aa10ec1

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.

source=arxiv_source observed=2026-08-06T20:05:18.195594Z digest=sha256:33de56501b770df548d527e9f1f79c5de001ece73bfa7f1ddc970ab154601631

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T12:32:13.577474Z digest=sha256:4f9748caa7fd92cd2bc4672755c956fc7ecdfbd1249db9f90a9d0bb91c84d03c

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T15:04:32.774530Z digest=sha256:b6018008725e3890e76a108f6523a068aa3ca25bc4bd141df250b0454a85b608

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T18:59:45.877785Z digest=sha256:40c81ab2ed8c4039cb1115b129ff9321cfae4a1603155fa9b9bcf0453f3f0a59

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-19T23:58:53.524203Z digest=sha256:8089e51360a49c3a524ce813b28e03eaa6ae45737d5596ec83256359df6fc7dc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T06:01:44.894830Z digest=sha256:a6fd0b8515517eea7ae8cf350f9c59ce6980a476692eb21620a2e9762e24a10a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T22:54:28.452796Z digest=sha256:147fdf4901894242f0478a25db4ecd0bf0ab6f2aa3963bd46740ad54a3d74c49

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T21:59:43.429931Z digest=sha256:e3dfdbdeb5e4cdaacc9ae8bbd23744b8e140a7c98a8fd47a4785611ed4985b6e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-07-02T18:19:43.146102Z digest=sha256:70e516ce0b6d68318b35c9052ec6eb0692831b578a224e7427284e1eede6394d

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.

source=pdf_text observed=2026-08-02T12:49:14.576579Z digest=sha256:ee6270a923a1f2b8bcea8a2f4df51f41364bb71a2cd9224128227e03a660942a

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.

source=arxiv_source observed=2026-08-04T07:49:39.973177Z digest=sha256:993867317c311d7160d392242140d08a72b30b110b33e9dd890e769bf39a3b40