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Paper Citation Record · LEDGER

Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2405.02134.

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

pith.paper-citation-record.v1
2405.02134 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T11:22:28.946558Z

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 82e5d072-7412-4b14-85bf-29d062e5d1ac · inbound

LLM Bandit: Cost-Efficient LLM Generation via Preference-Conditioned Dynamic Routing cites this paper.

LLM Bandit: Cost-Efficient LLM Generation via Preference-Conditioned Dynamic Routing Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection

Reference 1999

Resolution
unresolved
no resolver link, observed 2026-08-09T11:22:28.946558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:22:28.946558Z digest=sha256:edd531c976f181fe3dfc373ffb6450686eae79c088505d75187045d450884c30

Observation 41b1d458-f26f-4842-8c90-c6bc0853e0b6 · 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 Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:14:57.514815Z

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=2026-05-22T15:13:28.927880Z digest=sha256:907c5637ef736cca75cdabcd8756f51ef1a6ada9f0dfcae14590a9994754e553

Observation 807b2932-29d9-4de7-aebf-403c14bcf3b0 · inbound

IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory cites this paper.

IRT-Router: Effective and Interpretable Multi-LLM Routing via Item Response Theory Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T12:00:12.317435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:00:12.317435Z digest=sha256:e1f84f3891f06a2a64a4b2078d503aef73bcf0befbe81db2dc6eeb20d146e1d1

Observation 41f0d6a2-dacd-4685-9ca5-421c3cbd558c · 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 Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-07T05:56:56.974688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:56:56.974688Z digest=sha256:290f974cab7483b0fc2fc5ec80f5f8d10a56fbf948d6b2ef24f64a17b8894863

Observation 7f3c4008-f678-49f0-9d4d-762584648fd2 · inbound

TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks cites this paper.

TagRouter: Learning Route to LLMs through Tags for Open-Domain Text Generation Tasks Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T00:57:12.585414Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:57:12.585414Z digest=sha256:9be46c626746a6a7da3386f40de8857bbeb95d7763460720f206eaad3307710f

Observation 857d156b-0022-4c50-bcb0-13b3163143b4 · 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 Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-20T00:02:53.715925Z

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=2026-05-19T23:58:53.524203Z digest=sha256:d743b2952357ef77baa9e05ad1b44a257de2e011cc37c782f41956c0a9c7dcff

Observation 04d45a52-8294-4b5c-8874-28709f0bf669 · 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 Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-06-28T06:11:42.510835Z

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=2026-06-28T06:01:44.894830Z digest=sha256:46c80d118b1e793d72b836893e8fe1ffb79a9481d98581985b7f2e74586e3314

Observation 70aa09b1-ede6-4f7d-88da-26f51f1ec158 · 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 Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection

Reference 92

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:17:08.811192Z

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=2026-06-27T22:54:28.452796Z digest=sha256:d57fe0cf108bcc23aa4620ed18cc2a73a3553fd932bb257aefef1ea3e0ce395b

Observation b9f25f33-6574-403f-b212-0efaa41fd889 · 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 Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-07-04T00:19:13.470681Z

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=2026-06-26T21:17:29.543901Z digest=sha256:fcda37f82199925334b8ebbb8b3032e29f33c15a5b63023a5d72dd17ca340f95

Observation f72b0119-9612-49fb-bd04-1f701090342b · inbound

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis cites this paper.

Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-06-29T00:42:56.610450Z

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=2026-06-29T00:39:25.998794Z digest=sha256:32b233357894c6195fe4678e8d6fe896e4175ec90ecf2d8f03da85c6e0f1bc69

Observation fc4cc3e2-e49f-4406-8919-cdf516d1cbcf · inbound

CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval cites this paper.

CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval Optimising Calls to Large Language Models with Uncertainty-Based Two-Tier Selection

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:24:38.266010Z

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=2026-06-30T11:07:31.861143Z digest=sha256:08f84ec0bcf1652e3b41d50add2817ed295729e5a47ebf539189b7288da65e13