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Paper Citation Record · LEDGER

A Unified Approach to Routing and Cascading for LLMs

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2410.10347.

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

pith.paper-citation-record.v1
2410.10347 v3

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 2026-08-10T06:31:04.303077+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:10:53.457922Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:50:12.595650Z

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 bf3a444f-ac0d-4826-a183-2673feed53e5 · 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 A Unified Approach to Routing and Cascading for LLMs

Reference 19

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unresolved
no resolver link, observed 2026-08-09T19:10:53.457922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:10:53.457922Z digest=sha256:e848f160ceeab02d59765032f32b7886abe0e400b18e67b667b4ee06dec68264

Observation e29ef9e6-4dec-4b58-a39d-fca55912f47f · inbound

Universal Model Routing for Efficient LLM Inference cites this paper.

Universal Model Routing for Efficient LLM Inference A Unified Approach to Routing and Cascading for LLMs

Reference 21

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unresolved
no resolver link, observed 2026-08-07T23:48:00.860004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:48:00.860004Z digest=sha256:f05b15572f567736464776b2c003e01a306499d4e8ad460dd4314100f085d065

Observation 5170ed3d-0940-4a12-8f23-f1c3eb9ec8c1 · inbound

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

Harnessing Multiple Large Language Models: A Survey on LLM Ensemble A Unified Approach to Routing and Cascading for LLMs

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:25:19.644054Z

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=sha256:5fd120fcfc049652c1c2a868e9ce1d7a8ab9a5fd08cb2e8d9399674ead4fc6ce

Observation 85b65157-666e-4a88-a896-97bad57b1485 · inbound

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

Orchestration for Domain-specific Edge-Cloud Language Models A Unified Approach to Routing and Cascading for LLMs

Reference 9

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no resolver link, observed 2026-08-06T18:10:13.573310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:10:13.573310Z digest=sha256:7b09f95fe135968084ab77f63e6af2d23e9af890c70eb762e826f9b075c98300

Observation 5e089811-0094-4037-9b11-3b855586d478 · inbound

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges cites this paper.

Collaborative Inference and Learning between Edge SLMs and Cloud LLMs: A Survey of Algorithms, Execution, and Open Challenges A Unified Approach to Routing and Cascading for LLMs

Reference 268

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unresolved
no resolver link, observed 2026-08-06T15:06:48.854738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:06:48.854738Z digest=sha256:9b09163453cf0f1a2202905de39f365556116ce3eaced590b43335c6fb73d767

Observation 0495b7d8-94ba-41f0-a6fd-cb33bca179a8 · inbound

T-TAMER: Provably Taming Trade-offs in ML Serving cites this paper.

T-TAMER: Provably Taming Trade-offs in ML Serving A Unified Approach to Routing and Cascading for LLMs

Reference 31

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unresolved
no resolver link, observed 2026-08-04T14:56:59.888525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T14:56:59.888525Z digest=sha256:c97bff8401d0d57919f496a6177e68fb8d247c617cad4061e4d1cfebb2361c46

Observation 4beb8f38-574d-439c-a419-e5a34e1019de · inbound

A Regime Theory of Controller Class Selection for LLM Action Decisions cites this paper.

A Regime Theory of Controller Class Selection for LLM Action Decisions A Unified Approach to Routing and Cascading for LLMs

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:11:11.820749Z

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=2026-05-08T10:01:45.712230Z digest=sha256:eb2495dac20c127ec3e6e509aebb1cc5b18e199fc5d6f8ac2892462ef4ba593a

Observation ca1f1740-b07e-448d-a572-eb0d50228201 · inbound

Flexible Routing via Uncertainty Decomposition cites this paper.

Flexible Routing via Uncertainty Decomposition A Unified Approach to Routing and Cascading for LLMs

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:15:54.447796Z

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=2026-05-11T03:13:56.150348Z digest=sha256:e34f47f31d2c1dca734a1c94a1f3143b208b76c27ea140b53f57494c7ba48c63

Observation 88b864dd-a925-4875-baae-f112e1237fe1 · inbound

A Communication-Theoretic Framework for LLM Agents: Cost-Aware Adaptive Reliability cites this paper.

A Communication-Theoretic Framework for LLM Agents: Cost-Aware Adaptive Reliability A Unified Approach to Routing and Cascading for LLMs

Reference 47

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verified exact
arxiv_id, observed 2026-05-12T03:06:19.505453Z

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=2026-05-12T03:03:05.715652Z digest=sha256:39758b5b3d1bf0911043a72e6c2496a5f4862338a7ab9f7818affead16caa6e1

Observation 455584a7-de0c-4fa9-86c2-de84fe374264 · inbound

LatentRouter: Can We Choose the Right Multimodal Model Before Seeing Its Answer? cites this paper.

LatentRouter: Can We Choose the Right Multimodal Model Before Seeing Its Answer? A Unified Approach to Routing and Cascading for LLMs

Reference 10

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verified exact
arxiv_id, observed 2026-05-13T01:47:04.299912Z

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=2026-05-13T01:42:54.802658Z digest=sha256:05d07dc74349e6c07a52b867508a0d161ab79a7b4aa6e11f80bec87ab58ad186

Observation 5be70584-5b5a-44c4-b574-9e49fc99d014 · inbound

FairTutor: Equity-Aware Pedagogical LLM Routing for Budget-Constrained AI Tutoring cites this paper.

FairTutor: Equity-Aware Pedagogical LLM Routing for Budget-Constrained AI Tutoring A Unified Approach to Routing and Cascading for LLMs

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-03T20:18:56.311800Z

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=2026-06-27T01:30:31.852194Z digest=sha256:a3c4550085abe863231580f06ed9ab9633ec54bc15aab9ace5fab01a7bfaa921

Observation b8abca49-d130-4554-b973-56ac168a41de · inbound

AutoRelAnnotator: Calibrated Model Cascades for Cost-Efficient Relevance Evaluation in Sponsored Search cites this paper.

AutoRelAnnotator: Calibrated Model Cascades for Cost-Efficient Relevance Evaluation in Sponsored Search A Unified Approach to Routing and Cascading for LLMs

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:50:12.597350Z

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=2026-06-25T19:26:46.600337Z digest=sha256:01955690e9bc39cb8c6b3e10eccd29d369d2d3b343b904202e5f78dc3239e9f3

Observation a0e6b167-2495-4d6e-b59d-072321e1e509 · inbound

When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models cites this paper.

When Does Combining Language Models Help? A Co-Failure Ceiling on Routing, Voting, and Mixture-of-Agents Across 67 Frontier Models A Unified Approach to Routing and Cascading for LLMs

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:19:53.608705Z

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=2026-06-26T04:20:02.722108Z digest=sha256:4f5b8e4377eb81fa5ddb7df43b73522d754a67b05cbcd0bbd8dde4947d2bc1c3

Observation afe3de62-94d2-4188-97d6-7eb91f4155f7 · inbound

How Much of the Routing Gap Is Real? Decomposing the Router-to-Oracle Gap into Reproducible Specialist Advantage and Single-Draw Label Noise cites this paper.

How Much of the Routing Gap Is Real? Decomposing the Router-to-Oracle Gap into Reproducible Specialist Advantage and Single-Draw Label Noise A Unified Approach to Routing and Cascading for LLMs

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-12T02:29:58.886380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T02:29:58.886380Z digest=sha256:3891266bb4017c972655638c725a06853776e3d8dd7424cf95a9ff37817fee26

Observation ec69dc22-646e-4174-953c-6065bab5cf2b · inbound

Multi-Head Latent Control: A Unified Interface for LLM Agent Decision Making cites this paper.

Multi-Head Latent Control: A Unified Interface for LLM Agent Decision Making A Unified Approach to Routing and Cascading for LLMs

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-02T02:42:01.941369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:42:01.941369Z digest=sha256:18b9c287114b2518245410db575b11755599f9e31da5a76a437c649566f98a0c

Observation 19eeaa77-46ec-4283-8dda-3a9df4e977ba · inbound

Cache-Aware Prompt Compression:A Two-Tier Cost Model for LLM API Caching cites this paper.

Cache-Aware Prompt Compression:A Two-Tier Cost Model for LLM API Caching A Unified Approach to Routing and Cascading for LLMs

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-01T23:14:54.415492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T23:14:54.415492Z digest=sha256:cd08fcfa72eddf36902862b649fa19967f769271754ab68a78e7f59a3082cff7

Observation 6b7a0da2-e501-4d7c-b20f-59622395cda8 · inbound

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing cites this paper.

Influence of Prompt Engineering on Small Language Models for Guarded Query Routing A Unified Approach to Routing and Cascading for LLMs

Reference 7

Resolution
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no resolver link, observed 2026-08-02T08:35:36.349471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T08:35:36.349471Z digest=sha256:7c525639157e434c442a24e4c8ecea788b89766c5e5c338cd9a94c5194dac6f9

Observation 05af7e6c-6d0e-4d3d-b559-7f94ec36fb52 · 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 A Unified Approach to Routing and Cascading for LLMs

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-04T07:49:39.961320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T07:49:39.961320Z digest=sha256:51ca5bfb0fce7a2d5f5e746f9afa9dc993f985a0f4cfceb1b79bc69e2f4e102c