Pith. sign in

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 2026-08-09T06:31:02.800959+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

  • 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 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

Resolution
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:b1564a724f4f07a7815f25c3d44d2581cd3e938d3bf2916d99e74c9b7148794e

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

Resolution
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=sha256:0755f74266c6f1eccbae16073ce1542b6d9a3e7655651535f7e625e51c13884b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T02:22:28.649071Z digest=sha256:2fed1322801c00334f025bb86d0bca84151e122fe1a9df22bee6a80a83bb3bcb

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

Resolution
unresolved
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=sha256:2f1adda86eecede3df15436eb798622fb1255eb101f62ed1e0940c9ccda6f74a

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

Resolution
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=sha256:1dc5779593e593335f277a06dd04caf4302ffd848126e7f7c45b018a7adc3811

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

Resolution
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=sha256:2a92b92495c49ca1337b1dcdf82c3ce1eead733bf48d61ed40d3023c23ab08fd

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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-08T10:01:45.712230Z digest=sha256:72d2f8b652f28802e02145858abd0d0b7d4f4840b2f50846fc3e8d368c3f3c67

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-11T03:13:56.150348Z digest=sha256:ab13b6922a48de03efa17ceb58c99513672a32c982a7c2fac1b265085c386c39

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T03:03:05.715652Z digest=sha256:be3911a071222cf8257ae6e694f03b4431b0bed744d4c1c14a821572d1290803

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

Resolution
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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T01:42:54.802658Z digest=sha256:288d00bfb6cc34e967c23ae1cf9c32e11331f538dc08bb941ec8695f2c56486e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T01:30:31.852194Z digest=sha256:546d6331c21902dedd9c1f98ecfcf906001348bdfd03ad214ed0e9d81e8319e8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-25T19:26:46.600337Z digest=sha256:cbe3363f73b573ee4db4c068ccd7de7c5388f7cae72d93808e5d87ef2896b369

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T04:20:02.722108Z digest=sha256:834849da4bfc29120b28f176e1cc209974503edef792f2ac730e1a7de3e4cfdd

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:e43cbaa5cfc77053075e222fee7360d7d298756c63db88ed3a12e54ee6a9182f

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:f3bfda18abd6da711cb5ed910c259b0b67070e41e40ca6a92221c7f7e4ac911e

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=sha256:10f000f4cba21fbac83f5d3ac12be7848cf75ea674a5ff60c252ce058997b4c0

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
unresolved
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=sha256:951d802e0209c3493242ec222cd531a36aa327bf5b331c05365614adb195073f

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:d79bc5fea1e42373b48b8d03a43682e2fb9be56fb07fab4d250105e4a38c6f9c