Pith. sign in

Paper Citation Record · LEDGER

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

As of 17 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 2026-08-17T06:30:58.91139+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=sha256:513f534801c22977e68d8a3cba06f0faef916d84dc323dbaa970b9adc76816cd

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=sha256:4a3635c16ff3184d7990ed3525882ba270424b8ebcba75d8fdd90f5b886652ca

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=sha256:986eb0924ec1aa15c669ea26f483d55ef4f01e0faeb95dccc450f3f22294d043

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:cf1e3e181b31cfbc7c22e43b75d0dddeecb3e7e201f72ec76552d19bb412dd81

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:df4844d7c1cc7f8d562ed83ff95f2c365b05c2d5276ef012132381ccc7cb1328

Pith citing papers

No inbound Pith citation observations are available.