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Paper Citation Record · LEDGER

A Unified Approach to Routing and Cascading for LLMs

As of 23 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 2026-08-23T06:30:58.430688+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
  • unresolved0
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  • 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

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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:e06f68d31ea533d7ff369e3f48e9e9be5890609d87aaa787499c3c20de7f4ac4

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
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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:d49fbd14089ec7ea0ca01d4f68fb6d0d1921d5bc3eb09090081db126de181c58

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-23T02:22:28.649071Z digest=sha256:d4bef543e93f9a66bf048bb155110f05e80f3ec52edf6614df1b01d59f6ade10

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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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=sha256:3a7a8bfdab456f8c5645a987d4e5df290ca3d293611543140a88a5ea9e4ccf3f

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=sha256:179e92c671fca4dce3b726646ef76ddebbb3df9ae8485f81655ff4c0c41142e2

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=sha256:0dc49c688ba70cde9f5d7b61e6280223d40f0349f3c03062a900772f6ea22d48

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-08T10:01:45.712230Z digest=sha256:d084097170e43efb3e1d1d6df6ca68f50a04b8c2268fe9eddbbaefd2ac2e8b21

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-11T03:13:56.150348Z digest=sha256:746294ddff7ff40394a1a8630ecb4dc47458036063c7ab9200fc1e7d78f27185

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-12T03:03:05.715652Z digest=sha256:c589624fb5270b24c1a1d0242c0bd6f454d2107cecbcabe72ee142eb8e4707d3

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-13T01:42:54.802658Z digest=sha256:59d13ff0254ea3d21c3e17c4b7f250f6417e3401a9e0296b87e88ecaa34ec781

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T01:30:31.852194Z digest=sha256:e236bc12a6041bdcec0f2d77e320ab6049b73f30cc08f7f2eebadbc8c0179ffc

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-25T19:26:46.600337Z digest=sha256:ebc7df6e9ee2afc4c58e01cc1d6215b7f003fe844526a1801c22a0cc8baec29b

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 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-26T04:20:02.722108Z digest=sha256:93ad61fbc79dec9e379d65c892e4304452e70491ced8fc497f2cbb1b4324da01

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=sha256:0091e31aaa0227fcc869a6ae37e37f9d21d4a756dedaca5e8aaa17f9ba272dca

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=sha256:07d7b08f2a5c021de6732c10a07281103007d37b07e4d1b917b6eb9b45530b26

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:ed12431a3e64e1fd6c35e20750a017eed865663bb3d130169b48587d9bb0d047

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:cde9e43fde16f9b48d7222e34c4fa29246ae6306aab6ef34a0343791f539e89c

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:c0ccf594c64a67e3155013b968aa9dfc735d4a045a5ef679e4134fec09bfabb8