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Paper Citation Record · LEDGER

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning

As of 21 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2607.20129.

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

pith.paper-citation-record.v1
2607.20129 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:48:09.752396Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

17 of 17 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved16
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2ad4f0df-c4f5-4eb5-b301-d7fa88f94ee7 · outbound

This paper cites The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning.

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning

Reference 1

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no resolver link, observed 2026-08-01T10:48:08.674349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:48:08.674349Z digest=sha256:b768e7df9a065d2811cf3ef9d407884bcb3ab2cae0b47ccf9f9ef299ee2b29d8

Observation f269d94e-d0e9-4623-a29c-7fa4d643a73d · outbound

This paper cites Fact-checking the output of large language models via token-level uncertainty quantification.

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning Fact-checking the output of large language models via token-level uncertainty quantification

Reference 4

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no resolver link, observed 2026-08-01T10:48:08.934482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:48:08.934482Z digest=sha256:2b8570ffe2517bee0f5115c8f171b903b046e00e0a4e4ea33000c1d2945ab471

Observation e1e2d1c9-a51d-4248-b32f-124316ca315d · outbound

This paper cites Mitigating overthinking in large reasoning language models via reasoning path deviation monitoring.arXiv preprint arXiv:2603.14251,.

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning Mitigating overthinking in large reasoning language models via reasoning path deviation monitoring.arXiv preprint arXiv:2603.14251,

Reference 6

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no resolver link, observed 2026-08-01T10:48:09.123619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:48:09.123619Z digest=sha256:9d7b4bcf48a81ef7e6f4bff57abdcd7c957ab756e0ae94a8c676ee9d5a65a2b4

Observation 9900812c-0326-4c78-8437-88e0ed56d1d7 · outbound

This paper cites Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models.

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models

Reference 8

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no resolver link, observed 2026-08-01T10:48:09.306504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:48:09.306504Z digest=sha256:796cc03ddb5f6d4080ad49954180a5736de50ba36ae91883ed872356198ce7cc

Observation a2cd5659-6af7-408f-82aa-737bc76dfe2b · outbound

This paper cites Quantized Reasoning Models Think They Need to Think Longer, but They Do Not.

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning Quantized Reasoning Models Think They Need to Think Longer, but They Do Not

Reference 9

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no resolver link, observed 2026-08-01T10:48:09.420742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:48:09.420742Z digest=sha256:756e0802c7fc227845f355377288ca4313b724a604311c1a5b747e5e0af2718f

Observation fe151b9d-b590-42f2-99e0-428370bb2379 · outbound

This paper cites an unresolved cited work.

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-01T10:48:09.516607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:48:09.516607Z digest=sha256:4ba543fd8b1def647ddc3abaa9b435797c7cbfc11ead9488178ab21078729e0a

Observation 98c5b953-6f7a-4e67-be7a-69e54750b503 · outbound

This paper cites WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales.

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning WATCH: Adaptive Monitoring for AI Deployments via Weighted-Conformal Martingales

Reference 13

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source=pdf_text observed=2026-08-01T10:48:09.690132Z digest=sha256:01d8a3ca945441e5d99bf83f9aac1f2c2adde38147c1fe38d0337e893057e26b

Observation e3104ab8-27ea-4104-8806-82cd8811de43 · outbound

This paper cites Glenn Shafer.

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning Glenn Shafer

Reference 14

Resolution
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no resolver link, observed 2026-08-01T10:48:09.730876Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:48:09.730876Z digest=sha256:9bfb46e04d0e168ba50dac445b0f53061f71c239bcc64543be78d9b4dd6ffaba

Observation 9de9cc88-e478-4fd5-a7aa-38265bdeb211 · outbound

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

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 16

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no resolver link, observed 2026-08-01T10:48:09.739616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:48:09.739616Z digest=sha256:e9bffd2bff3c854afedbfac9269f1db10b5e4ae4c8f68fc1dd7ce7dc88fa25eb

Observation 2bd2aeb4-b9d2-4763-afb8-2cc0dfc57358 · outbound

This paper cites Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs.

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs

Reference 17

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no resolver link, observed 2026-08-01T10:48:09.743438Z

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source=pdf_text observed=2026-08-01T10:48:09.743438Z digest=sha256:b0f335d8c9bbf2e8a0d9d36b477d71556d016d08b584fd12207b43ff7fecc80a

Observation 8d1ea525-8c67-49a1-8e82-1eec436b36ba · outbound

This paper cites Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models.

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning Step Back to Leap Forward: Self-Backtracking for Boosting Reasoning of Language Models

Reference 18

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no resolver link, observed 2026-08-01T10:48:09.747886Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:48:09.747886Z digest=sha256:d61b62e63f1e14eb18485a0a832dbad75e1d3f94e874d3ffe3ab0e02859a0b7f

Observation 877c8c3f-3ee5-4537-a888-6d121ad33689 · outbound

This paper cites Wenhong Zhu, Hongkun Hao, and Rui Wang.

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning Wenhong Zhu, Hongkun Hao, and Rui Wang

Reference 19

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unresolved
no resolver link, observed 2026-08-01T10:48:09.752396Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:48:09.752396Z digest=sha256:090ccd3e44e9b98f238cc5ed64015d1c9f6d9893e48d22441189fc1859484d78

Observation 78b735c4-9f5d-458b-bd6e-419764013130 · outbound

This paper cites Adaptive Conformal Inference by Betting.

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning Adaptive Conformal Inference by Betting

Reference 100

Resolution
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no resolver link, observed 2026-08-01T10:48:09.635408Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:48:09.635408Z digest=sha256:20fab958853425c32fddb6af971b5988c737b7fd422ddf1952580dd0f0d5afa4

Observation 8ff32026-f60e-4518-ad95-65f845730418 · outbound

This paper cites an unresolved cited work.

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning Unresolved cited work

Reference 1954

Resolution
verified exact
doi, observed 2026-08-01T10:48:58.075797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-01T10:48:09.578406Z digest=sha256:9b853a819b763177da061750eb84011e5bf9235146fe48d2d3ddcca511a011d3

Observation 80db298c-6320-427a-b5e3-88d7b57cc12b · outbound

This paper cites Quantization meets reasoning: Exploring and mitigating degradation of low-bit LLMs in mathematical reasoning.arXiv preprint arXiv:2505.11574,.

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning Quantization meets reasoning: Exploring and mitigating degradation of low-bit LLMs in mathematical reasoning.arXiv preprint arXiv:2505.11574,

Reference 2023

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no resolver link, observed 2026-08-01T10:48:09.225584Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:48:09.225584Z digest=sha256:08a80f48e3452d99ee05b2549ff642e7dd3921e52cfa2e158e8972991422f743

Observation e7d99160-bea5-4492-af90-6a2f760bda26 · outbound

This paper cites Deep Think with Confidence.

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning Deep Think with Confidence

Reference 2024

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no resolver link, observed 2026-08-01T10:48:09.026214Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:48:09.026214Z digest=sha256:4602dedb8f72685eb543b70c27bceeb5266b5e101b9cd70f25d7ae17e3d72522

Observation 46239dec-5322-4f12-acaf-6d724387eaca · outbound

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

CUSUM-Shaped Inference-Time Monitoring and Targeted Re-Decoding for Quantized Small Language Model Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 2025

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:48:08.838888Z digest=sha256:343ffb79737694b93664f19708d543affffa3b8af4d5368f0a494d62fef0b4fd

Pith citing papers

No inbound Pith citation observations are available.