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Paper Citation Record · LEDGER

Scaling LLM Inference with Optimized Sample Compute Allocation

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2410.22480.

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

pith.paper-citation-record.v1
2410.22480 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:05:14.659511Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:48:24.596404Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 4a492d74-e305-4aa8-a18e-addcfd0904a4 · inbound

Syzygy: Dual Code-Test C to (safe) Rust Translation using LLMs and Dynamic Analysis cites this paper.

Syzygy: Dual Code-Test C to (safe) Rust Translation using LLMs and Dynamic Analysis Scaling LLM Inference with Optimized Sample Compute Allocation

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-11T12:28:46.585741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T12:28:46.585741Z digest=sha256:4e8e0eea0c972ed3beccd6d40968c3cbe2c636bf65f19d5579d68c18a61ed959

Observation b9f5bb4f-9355-436f-bdc2-a314b2511912 · inbound

From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning cites this paper.

From Drafts to Answers: Unlocking LLM Potential via Aggregation Fine-Tuning Scaling LLM Inference with Optimized Sample Compute Allocation

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-10T17:52:11.088780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:52:11.088780Z digest=sha256:d8762c68c98d8f49b1612530aed00ff940f789a7ac393d1d768737b6f0125702

Observation 44be4bd7-b343-4fcc-88ef-c5d72711207e · inbound

Optimizing Temperature for Language Models with Multi-Sample Inference cites this paper.

Optimizing Temperature for Language Models with Multi-Sample Inference Scaling LLM Inference with Optimized Sample Compute Allocation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T20:01:43.752801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T20:01:43.752801Z digest=sha256:a7c06552b3cde8b127a31e91e2035df7698cc54e59b1fcba78508200ae34bbe4

Observation 66170e96-e819-4fd0-97f5-bb91129d28de · inbound

Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory cites this paper.

Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory Scaling LLM Inference with Optimized Sample Compute Allocation

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-15T21:05:14.659511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T21:05:14.659511Z digest=sha256:0fa6231f03bfa60573eaa9a9946a834aa63d9b32ba95e4d8957066b4ff4d41d6

Observation 28fef33b-21e1-4d66-8a7b-351a7232b1c6 · inbound

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling cites this paper.

DynScaling: Efficient Verifier-free Inference Scaling via Dynamic and Integrated Sampling Scaling LLM Inference with Optimized Sample Compute Allocation

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T23:48:24.675376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-06T23:48:23.760554Z digest=sha256:8ce659a5d706ecfe6c77932985bffd951a74542dcc1781da07eb0d401d0e47b7

Observation 558b23a1-800d-40a6-8199-930e0505f8a7 · inbound

Latency and Token-Aware Test-Time Compute cites this paper.

Latency and Token-Aware Test-Time Compute Scaling LLM Inference with Optimized Sample Compute Allocation

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-04T18:37:58.966197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:37:58.966197Z digest=sha256:e52006edfd810ae2b436bfc20943c12535d74c7cc61173bdad241a5a0da423f6