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Paper Citation Record · LEDGER

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness

As of 10 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2607.25068.

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

pith.paper-citation-record.v1
2607.25068 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T02:16:44.834101Z

measured 16 of 16 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

16 of 16 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9feb302c-942e-4612-8786-8dd9c0f55440 · outbound

This paper cites an unresolved cited work.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:44.768879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:44.768879Z digest=sha256:0d98052bd7b6773314ad8d5de93a2a01e84df6536dbd21d0818ba0619a74d336

Observation 03a5dc5e-9dcb-4ba8-a16b-ac16888a0f17 · outbound

This paper cites FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 2

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:44.774266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:44.774266Z digest=sha256:edadf6cd8cb7ac70bc467c1b69778f865ba9fdcce416d0220005ab0db40703ad

Observation 14d9853c-eacf-4b58-ba11-8a35da1e354a · outbound

This paper cites Lakshmanan, and Ahmed Hassan Awadallah.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness Lakshmanan, and Ahmed Hassan Awadallah

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:44.779046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:44.779046Z digest=sha256:c74a8f3460cf18556894e8c33521abf31e7f13ed774b0ff68ea5f65e0ee7fcac

Observation 9c0da434-02d8-4648-a412-e85dc8b7f332 · outbound

This paper cites an unresolved cited work.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:44.783243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:44.783243Z digest=sha256:9fa85965e3f87d7a2956b19feac3300d0377528fb7d76428c0fb7a2b6b0b9f16

Observation 87dd4ba0-7225-47e8-96b0-208252dccbda · outbound

This paper cites an unresolved cited work.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:44.787296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:44.787296Z digest=sha256:1754771ca9b3e2a9c6861b1c93653c16ccd98f0226f9038ac8365a48c3f43f64

Observation eb875d20-2f94-4eed-810b-3d29d9d4eea5 · outbound

This paper cites Weinberger.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness Weinberger

Reference 6

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:44.791428Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:44.791428Z digest=sha256:9add996a0daaab28aa97349d5a689625295b677f7bab608cdd63d52aa1da2732

Observation 39a5b6ec-ec61-40fd-a741-6ba12b2a4556 · outbound

This paper cites Language Models (Mostly) Know What They Know.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness Language Models (Mostly) Know What They Know

Reference 7

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:44.796076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:44.796076Z digest=sha256:42371aa7f9b418d8da47a26d04148f71e7ac0023e2821d974e22a808f9e1c981

Observation 6851aad7-5bcf-4ff5-9827-c0fac929252b · outbound

This paper cites an unresolved cited work.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness Unresolved cited work

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:44.800381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:44.800381Z digest=sha256:a936b5e8991a2c1967a983eb2a7c7cfe97c0d1ce075daa135e407be432739853

Observation d567b074-7194-4547-9479-8e36f8b2adbd · outbound

This paper cites AutoMix: Automatically Mixing Language Models.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness AutoMix: Automatically Mixing Language Models

Reference 9

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:44.804379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:44.804379Z digest=sha256:18c73c8eb288995587941705e256221296e48feb7130f92d8044c395d2e1a1f8

Observation cf55a4a3-37a8-4216-b3a6-728f85daf68a · outbound

This paper cites RouteLLM: Learning to Route LLMs with Preference Data.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness RouteLLM: Learning to Route LLMs with Preference Data

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:44.808471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:44.808471Z digest=sha256:1594fc6ebd8256e308e5ce7d28bf5c8a8b76b7d4451310055ad8b0374d761b56

Observation 4b080adf-3b43-4cdd-b12e-2b5c39f88523 · outbound

This paper cites an unresolved cited work.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:44.812575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:44.812575Z digest=sha256:8d3dc3bf6260276c455ad49ffc82e12ceb6191aac0f0cec103c66ca3c6551eba

Observation 7b344a36-bea5-4790-905b-fe1285da1e3b · outbound

This paper cites an unresolved cited work.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:44.816634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:44.816634Z digest=sha256:c7362360b2f39bfff7d567f7fa2c6436f9c60634b2c4856f81ab52f4e167ebf0

Observation a5f493d4-0c93-403a-8929-ebc3dcf89531 · outbound

This paper cites an unresolved cited work.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:44.820400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:44.820400Z digest=sha256:761ad37cb2ae95da9e9573095e84256646099823ddf2133f111b887cbb691339

Observation deda68d7-45ff-4157-afb0-67d801776583 · outbound

This paper cites an unresolved cited work.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:44.824383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:44.824383Z digest=sha256:2051fb6d7b8589128e19d45c0ce2a3e96a45a8f3fa4c8a37154bd94cd21e7869

Observation a1ab2906-8665-43d2-8239-46f0fdb9c1d1 · outbound

This paper cites Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness Large Language Model Cascades with Mixture of Thoughts Representations for Cost-efficient Reasoning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:44.828313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:44.828313Z digest=sha256:888fcd0e15ea12a3cda0e41bdb0f9f963c47f299b0585d3ce2f7bbf0fe035a0c

Observation 7df288e6-8510-4040-8b5c-02550e6311b7 · outbound

This paper cites EcoAssistant: Using LLM Assistant More Affordably and Accurately.

How Often Should a Recommender Call an LLM? Value-Weighted Routing, Monitoring, and Seasonal Robustness EcoAssistant: Using LLM Assistant More Affordably and Accurately

Reference 16

Resolution
unresolved
no resolver link, observed 2026-07-31T02:16:44.834101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T02:16:44.834101Z digest=sha256:b0a13e29e37e10235b2b8774669448e42e6f6c251b189359217ac97bffc78d98

Pith citing papers

No inbound Pith citation observations are available.