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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 2026-08-10T06:31:04.303077+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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:897cc1032ee281953f0a2d871403f995b266e6a317357a2e6a325b5534a72b91

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:b9740fc8fcb18afcc015853fa08b18874e454f5736c2ae46bb08026d12c924c9

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:6620adfca741b09847ee0b7ab70d8e276a14c9d7edbce60f566726abb078d889

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:1f5b132dc6aad0e5e3d56da3b9123c24fc378f7c55c6eb968e1359d3475398c8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:412d0c2eee17d67352cfa3fdcda38eee88cbb1307e1f685b15fc998a05ef7409

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:b850baf7b8b1329adbf70f390ea2b3ebad26a6a4a1e0f9aa01c2d4a03fe0bfdd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:f4911f9fb98039bdc9b951954a2bb04cc004eb8f0a74fe7d64e22c7f01e6fb99

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:79143d0fb66894f81f2d2e513dbd9736ddf4198b30d0463bdfb251d2364edc1f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:42fd11c4ee5e93b88840fa2b967b0e2ba2eb5fcaec627b68775e403cf9c32f31

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:07ed9d6e6d4cefc5d1f49d605c8c2f09dd06820285ffafdfa138bfecf449b1c8

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:e2b09851491344a7d73c4355c92596135920c00a44086ef3a90cbef149cd66c3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:b95de5de49024ae0380248dfa7986a3912149857ccfb18f6f6fa02b1c1603733

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:ce41bb40ee1b9623eb66454e18672686aa05a24df0e7edcdef8a0dbad92b4a63

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:6229f30dd68a2b763615da9cb409ec3cdf23dfe8630329ce1658d811a672ab2f

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:446a0eb0bd63d17eba76faadaaf144b3372d872b429a525bdbf27542e1054974

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:083a26eaab0859cfe09c62b24a13392fc922251435734b8d48f4c096da334e38

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:f6b651d948b50754a1f5059367f930a6864b612aac3a700f5f55f5a33ac994f0

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:f730fa96aa9199e7f9e54f1950873b8382b6662a2a930ac334c088aeec5b1219

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:642f7a5466afeff82229cfaa8ec607a0d589846971b6962823c6eb74079ec168

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:2d27ef35bfd8392d8b87722084178f5f35cc1abc32cdc913cf663c1a1bf43824

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:7a5e2d407497a405e793c3d4a3da69e30266d9b0adf6564b839352a861a0862a

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-30T11:12:46.757296Z digest=sha256:7c15020733a1a71cba63c1910410a59b5ab7e9339a60f2760d36e6aaf0692ac3

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-11T04:48:31.160501Z digest=sha256:a9652a4086856aa33a71c6418e8e4cb33fec66d3649093860ce1344b7ae46380