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Paper Citation Record · LEDGER

Heteroskedastic Signals in Budgeted LLM Verification: Structural Heterogeneity Limits Optimization Gains

As of 9 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2606.15841.

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

pith.paper-citation-record.v1
2606.15841 v2

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T11:21:40.997661Z

measured 5 of 5 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 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

5 of 5 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bce4c447-23a7-4c53-a44f-59c1c57e0f2b · outbound

This paper cites Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation.

Heteroskedastic Signals in Budgeted LLM Verification: Structural Heterogeneity Limits Optimization Gains Adaptive Inference-Time Compute: LLMs Can Predict if They Can Do Better, Even Mid-Generation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T11:21:40.881716Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:21:40.881716Z digest=sha256:264cae0d73c6d33d0269f467ef2d341a4d2b6cfe9977c3d8309e574547d29ff2

Observation 88d02e3e-8f59-4ebd-92b2-8d439a3e145f · outbound

This paper cites Santiago Balseiro, Haihao Lu, and Vahab Mirrokni.

Heteroskedastic Signals in Budgeted LLM Verification: Structural Heterogeneity Limits Optimization Gains Santiago Balseiro, Haihao Lu, and Vahab Mirrokni

Reference 1134

Resolution
unresolved
no resolver link, observed 2026-08-02T11:21:40.604578Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:21:40.604578Z digest=sha256:6f3254e971500c1205441903757f9c98bbd8b71c3793d4c2d44814b3e6ed6de0

Observation 1c8ff15f-a78d-458c-ab0f-94ca179b61c6 · outbound

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

Heteroskedastic Signals in Budgeted LLM Verification: Structural Heterogeneity Limits Optimization Gains FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-02T11:21:40.659447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:21:40.659447Z digest=sha256:9cc7563632a08b1074fe7ffffcc9991063850b6d3f2c64e32b7d79640f9125f4

Observation d8341b38-459f-49d1-9a48-b68716fef9df · outbound

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

Heteroskedastic Signals in Budgeted LLM Verification: Structural Heterogeneity Limits Optimization Gains RouteLLM: Learning to Route LLMs with Preference Data

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-02T11:21:40.997661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:21:40.997661Z digest=sha256:e2e0850b523990f3cf87dbe6e295241fee45060868b0c84425d97a5745c2b167

Observation 2d5fd4e8-7552-4d33-b159-761e1d1babc5 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Heteroskedastic Signals in Budgeted LLM Verification: Structural Heterogeneity Limits Optimization Gains Training Verifiers to Solve Math Word Problems

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T11:21:40.788022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:21:40.788022Z digest=sha256:6153861f40144b5ac4a758a5029ee6cd0b13c2900b3be99274bcc6cb48fc779c

Pith citing papers

No inbound Pith citation observations are available.