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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 8 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 2026-08-08T06:32:00.761636+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:a0dfab9093e17ab0b63fe01338df05b28a2c672449b9bfd4b9add3ec797f6953

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:bd46159dbdd2722e3340e362f7c60ca7e2bdb1cb0ae8ac6809460a6d07faed85

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:f6e8488f73f09f17a30c32eea7b6dac4229a8e92e5b2b72b45a7046061b251ec

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=sha256:21d8aeb9937c332bda938685eeaf89fa9fd0233084946ac1a6806dfbc252138a

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=sha256:3ae1d20bceb9155cdabf690aa58fb87a7ce9be7f31ad2ed9815ff402b45853f5

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=sha256:31deeca3347ce74bf3a4c273244bf333f29017d077241125287cec6015d93f1b

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:af3d1fe738af9e234d5e5167ad73592d63f2bafbfab4808ee7023dfbb72e5964

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=sha256:53255c944523d82d301f7f8a3292e0f36a0b683918ad2622d07105671bfae194

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:f4119ca2d6244e4741e578a04ccb8b7611a57625b8975c5edda468c3dc202368

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=sha256:7e37c2e62dcc61611f474987019f846bb5d4e15cd5f47468dc369274b2dcf222

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:cefe95f4d47df3726406d9dc16d92087a32633f7bee759f3b11f4833765cbea0

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:eeb04fcc2238157f36c64904a33c1f396bbca63244a7baedfecd24868ef3d383

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:b1985b4cde24de0ded8c64d0cfd902aa220fb143f9745123e88592556c16278d

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:ea1c4b23cd77970ae1d01891ca7ada3830bf926b0683f68f0b3443d99b4d8bbd

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:eb4e5d4ae2046ae1d1ca38fe1a6a2b4647b5254f926342d44f0c7556dae1d57c

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=sha256:588140c3f8a4a59b86a895d2e09f918f944ebe0e239fea7f7be134629b5bf387

Pith citing papers

No inbound Pith citation observations are available.