Paper Citation Record · LEDGER

MixLLM: Dynamic Routing in Mixed Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2502.18482.

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

pith.paper-citation-record.v1
2502.18482 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:29:05.839242Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T00:19:13.484324Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
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 3d4c2133-19f2-433d-b710-4201dc0dcc70 · inbound

Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories cites this paper.

Agentic Feature Augmentation: Unifying Selection and Generation with Teaming, Planning, and Memories MixLLM: Dynamic Routing in Mixed Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T15:29:05.839242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 72657502-70ab-4b33-8161-a54e7c9666a2 · inbound

Route to Reason: Adaptive Routing for LLM and Reasoning Strategy Selection cites this paper.

Route to Reason: Adaptive Routing for LLM and Reasoning Strategy Selection MixLLM: Dynamic Routing in Mixed Large Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:16:55.463687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd092c58-6dd9-4911-b1ea-ec8db2c5f8af · inbound

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation cites this paper.

LLM-ML Teaming: Integrated Symbolic Decoding and Gradient Search for Valid and Stable Generative Feature Transformation MixLLM: Dynamic Routing in Mixed Large Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:57.338457Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d52a2482-b6ba-42a3-ab82-bec3c423681c · inbound

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives cites this paper.

Teaching Time Series to See and Speak: Forecasting with Aligned Visual and Textual Perspectives MixLLM: Dynamic Routing in Mixed Large Language Models

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-06T21:29:05.777078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b56dd0a4-56ba-4b2d-8d5d-52f18db75492 · inbound

The Workload-Router-Pool Architecture for LLM Inference Optimization: A Vision Paper from the vLLM Semantic Router Project cites this paper.

The Workload-Router-Pool Architecture for LLM Inference Optimization: A Vision Paper from the vLLM Semantic Router Project MixLLM: Dynamic Routing in Mixed Large Language Models

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-15T06:45:12.095512Z

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.

Observation 3951754e-0523-472d-93d3-3ff75557c887 · 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 MixLLM: Dynamic Routing in Mixed Large Language Models

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-20T00:02:53.775589Z

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.

Observation d7019603-4fcb-4229-b3bd-9919e270f04e · inbound

SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning cites this paper.

SeqRoute: Global Budget-Aware Sequential LLM Routing via Offline Reinforcement Learning MixLLM: Dynamic Routing in Mixed Large Language Models

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:14:01.066563Z

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.

Observation f64520b5-f021-44ab-9ed9-65aea75244f8 · 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 MixLLM: Dynamic Routing in Mixed Large Language Models

Reference 126

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T16:17:08.781794Z

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.

Observation fc5268af-5d35-4b3b-adf2-8217fdfa76bc · inbound

RouteJudge: An Open Platform for Reproducible and Preference-Aware LLM Routing cites this paper.

RouteJudge: An Open Platform for Reproducible and Preference-Aware LLM Routing MixLLM: Dynamic Routing in Mixed Large Language Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-04T00:19:13.485946Z

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.

Observation 723212a3-74bc-4b8a-a9ae-27150fab658f · inbound

PyroDash: Cost-Efficient Token-Level Small-Large Language Model Collaborative Inference cites this paper.

PyroDash: Cost-Efficient Token-Level Small-Large Language Model Collaborative Inference MixLLM: Dynamic Routing in Mixed Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T10:14:14.711685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.