Paper Citation Record · LEDGER

Inference Time Optimization with Confidence Dynamics

As of 11 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 1 inbound Pith citation observation for arXiv:2605.25244.

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

pith.paper-citation-record.v1
2605.25244 v1

Coverage vector

measured 22 of 22 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-30T11:12:46.757296Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:48:31.160501Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T04:48:32.054037Z

Reference resolution

22 of 22 outbound references displayed

verified exact11
verified fuzzy3
unresolved2
parse uncertain0
malformed identifier1
metadata mismatch5

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 33521725-9c32-4be2-9199-c00852a8bd46 · outbound

This paper cites gpt-oss-120b & gpt-oss-20b Model Card.

Inference Time Optimization with Confidence Dynamics gpt-oss-120b & gpt-oss-20b Model Card

Reference 1

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T11:14:37.577343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 08528414-b712-4aeb-86cf-1b38c31e9983 · outbound

This paper cites Learning to Route LLMs with Confidence Tokens.

Inference Time Optimization with Confidence Dynamics Learning to Route LLMs with Confidence Tokens

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T11:14:37.611830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 06c549b0-f30b-470b-98c1-a5359931e902 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Inference Time Optimization with Confidence Dynamics Training Verifiers to Solve Math Word Problems

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-30T11:14:37.614176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 10269002-1480-40db-a3cc-408e48b949de · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Inference Time Optimization with Confidence Dynamics DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-06-30T11:14:37.599434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b9242198-7399-4b05-8f6c-e2044f7759ef · outbound

This paper cites Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation.

Inference Time Optimization with Confidence Dynamics Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:14:37.608615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 941f5569-b466-421a-8c5b-ffb153b9be89 · outbound

This paper cites See What You Are Told: Visual Attention Sink in Large Multimodal Models.

Inference Time Optimization with Confidence Dynamics See What You Are Told: Visual Attention Sink in Large Multimodal Models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:14:37.619616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b8790965-308c-4768-9fab-c3de4398cba1 · outbound

This paper cites Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free.

Inference Time Optimization with Confidence Dynamics Gated Attention for Large Language Models: Non-linearity, Sparsity, and Attention-Sink-Free

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-30T11:14:37.619553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b13cd743-5cfa-48ad-8c40-884e35dc8660 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

Inference Time Optimization with Confidence Dynamics DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 9

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T11:14:37.608461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9e75deb3-d681-4e47-95d3-d949206d5afe · outbound

This paper cites Self-Attention with Relative Position Representations.

Inference Time Optimization with Confidence Dynamics Self-Attention with Relative Position Representations

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-06-30T11:14:37.579898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 33f2bd58-2343-4ca8-804b-26b830c4869c · outbound

This paper cites Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters.

Inference Time Optimization with Confidence Dynamics Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-06-30T11:14:37.583009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a921ef1b-1ac5-4a90-b9bc-1717c8e0e6a9 · outbound

This paper cites KVSink: Understanding and Enhancing the Preservation of Attention Sinks in KV Cache Quantization for LLMs.

Inference Time Optimization with Confidence Dynamics KVSink: Understanding and Enhancing the Preservation of Attention Sinks in KV Cache Quantization for LLMs

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-30T11:14:37.614076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4609e6e7-242c-44e3-8e59-a7465930319b · outbound

This paper cites Solving math word problems with process- and outcome-based feedback.

Inference Time Optimization with Confidence Dynamics Solving math word problems with process- and outcome-based feedback

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-06-30T11:14:37.601740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b1b2a265-bbc8-4396-9db8-f123319c0196 · outbound

This paper cites Ranked Voting based Self-Consistency of Large Language Models.

Inference Time Optimization with Confidence Dynamics Ranked Voting based Self-Consistency of Large Language Models

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T11:14:37.591466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 2429f8dd-6650-4744-8a93-c7bb3afb1992 · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Inference Time Optimization with Confidence Dynamics Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-30T11:14:37.594434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d294e142-9b7c-41c8-8257-6afea5245358 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

Inference Time Optimization with Confidence Dynamics Efficient Streaming Language Models with Attention Sinks

Reference 16

Resolution: metadata mismatch; local_arxiv, observed 2026-06-30T11:14:37.588461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation c4a1c32c-5357-4570-8718-5c573d3a0583 · outbound

This paper cites Qwen3 Technical Report.

Inference Time Optimization with Confidence Dynamics Qwen3 Technical Report

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-06-30T11:14:37.585774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 529eff18-507d-4e40-b131-faf5e73c2f98 · outbound

This paper cites Extended Scaling and Hyperparameter Analysis B.2.1.

Inference Time Optimization with Confidence Dynamics Extended Scaling and Hyperparameter Analysis B.2.1

Reference 18

Resolution: malformed identifier; raw_fallback, observed 2026-07-09T11:26:12.395514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a88ec0a0-e8fa-405f-aead-5e64febed190 · outbound

This paper cites Best result in each row is inbold.

Inference Time Optimization with Confidence Dynamics Best result in each row is inbold

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:26:12.391621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f825b485-51fd-4533-95c3-c98a6e0ceb3e · outbound

This paper cites Against the stronger baseline DeepConf-Tail, CDG wins15of22disagreements (68%).

Inference Time Optimization with Confidence Dynamics Against the stronger baseline DeepConf-Tail, CDG wins15of22disagreements (68%)

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:26:12.389751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 149827ea-4809-440f-9539-7f4919389d76 · outbound

This paper cites Majority.

Inference Time Optimization with Confidence Dynamics Majority

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-07-09T11:26:12.394160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 30cd4df7-711b-4df1-b28b-c603ba7e87e6 · outbound

This paper cites an unresolved cited work.

Inference Time Optimization with Confidence Dynamics Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-07-09T11:26:12.396111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 819d817b-305a-414b-b167-a0cd1dd7cf7d · outbound

This paper cites an unresolved cited work.

Inference Time Optimization with Confidence Dynamics Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-07-09T11:26:12.387845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 3921e889-23f5-474f-ad61-8495a8a6c8e0 · inbound

Consilience for Verifier-Free Test-Time Scaling cites this paper.

Consilience for Verifier-Free Test-Time Scaling Inference Time Optimization with Confidence Dynamics

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-11T04:48:32.063769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.