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Paper Citation Record · LEDGER

Consilience for Verifier-Free Test-Time Scaling

As of 11 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2608.09898.

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

pith.paper-citation-record.v1
2608.09898 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:48:31.620558Z

measured 56 of 56 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 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

56 of 56 outbound references displayed

  • verified exact4
  • verified fuzzy8
  • unresolved43
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1b9e391d-bea0-4b5a-bf77-17e6b1d822d2 · outbound

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

Consilience for Verifier-Free Test-Time Scaling The Unreasonable Effectiveness of Entropy Minimization in LLM Reasoning

Reference 1

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source=pdf_text observed=2026-08-11T04:48:30.386204Z digest=sha256:e9abf0b6609a35369067a6c286619d489bc10010ade967802134fe41e25fd58c

Observation 04c38bda-0585-46bd-b873-d0e25f39e4e6 · outbound

This paper cites Math- arena: Evaluating llms on uncontaminated math competitions.Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmark, 2025.

Consilience for Verifier-Free Test-Time Scaling Math- arena: Evaluating llms on uncontaminated math competitions.Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmark, 2025

Reference 2

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source=pdf_text observed=2026-08-11T04:48:30.469921Z digest=sha256:bcbb431a2c61c321b2215eead33f38603ad341d39af3f3ec94ca1016872635cc

Observation a1097bb9-691a-421a-8234-c414b5ad1019 · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models.Pro- ceedings of the AAAI Conference on Artificial Intelligence, 38(16):17682–17690, March 2024.

Consilience for Verifier-Free Test-Time Scaling Graph of thoughts: Solving elaborate problems with large language models.Pro- ceedings of the AAAI Conference on Artificial Intelligence, 38(16):17682–17690, March 2024

Reference 3

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source=pdf_text observed=2026-08-11T04:48:30.507958Z digest=sha256:7932002623c4c591bd5f7ed679e19c0d810c832fd0581f3bd43769b68f2c7d3b

Observation 5d6c9c84-88d0-4825-9263-d7408a9102e9 · outbound

This paper cites Qwen3-Coder-Next Technical Report.

Consilience for Verifier-Free Test-Time Scaling Qwen3-Coder-Next Technical Report

Reference 4

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source=pdf_text observed=2026-08-11T04:48:30.514538Z digest=sha256:b3dce9dc9aba0d8d222031c64493e43f101c49149593c871cce2a9ba0ad63c41

Observation 92a932d2-daa9-46a3-a5d7-947cb6bca7fc · outbound

This paper cites Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems.

Consilience for Verifier-Free Test-Time Scaling Are More LLM Calls All You Need? Towards Scaling Laws of Compound Inference Systems

Reference 5

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source=pdf_text observed=2026-08-11T04:48:30.521280Z digest=sha256:a7246980f1953fe0c36c029b6516857ffed168a0063cdceb53a019ef5e6e3f26

Observation 8df6a4fe-2959-45f8-88c0-8c2b7e684c5d · outbound

This paper cites Universal Self-Consistency for Large Language Model Generation.

Consilience for Verifier-Free Test-Time Scaling Universal Self-Consistency for Large Language Model Generation

Reference 6

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source=pdf_text observed=2026-08-11T04:48:30.527816Z digest=sha256:f0da16ed361bf6f5a6386f1f475f753e0f3fb9a23f681d5269331434aaf4f077

Observation d4d97ad1-9d5a-4ac8-a858-782884aed7fa · outbound

This paper cites Reasoning with Exploration: An Entropy Perspective.

Consilience for Verifier-Free Test-Time Scaling Reasoning with Exploration: An Entropy Perspective

Reference 7

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source=pdf_text observed=2026-08-11T04:48:30.537099Z digest=sha256:f8665e6604780cc25e6edda640c470947c4899001656ecd8ef1a942ece780fa9

Observation 6779355f-5352-4479-bf75-88c0e27be633 · outbound

This paper cites Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models.

Consilience for Verifier-Free Test-Time Scaling Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 8

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source=pdf_text observed=2026-08-11T04:48:30.546285Z digest=sha256:84deaf9aa469dc6a5052b4267cbf9c786f29ead5b1371790295a0b0d75daaaf0

Observation eae900af-e855-447e-b4de-ef6f9dd070a8 · outbound

This paper cites Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification.

Consilience for Verifier-Free Test-Time Scaling Fact-Checking the Output of Large Language Models via Token-Level Uncertainty Quantification

Reference 9

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source=pdf_text observed=2026-08-11T04:48:30.555690Z digest=sha256:75f5e2ca30c0f6cca1ac3f538d7f74ad9c84d759f261ea97ac7e25d0eac79be6

Observation 31fe0e06-b1b3-4c09-98a5-153051e247ea · outbound

This paper cites Multiple choice questions: Reasoning makes large language models (llms) more self-confident, specially when they are wrong.IEEE Intelligent Systems, page 1–10, 2026.

Consilience for Verifier-Free Test-Time Scaling Multiple choice questions: Reasoning makes large language models (llms) more self-confident, specially when they are wrong.IEEE Intelligent Systems, page 1–10, 2026

Reference 10

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source=pdf_text observed=2026-08-11T04:48:30.564668Z digest=sha256:6b82a89241277b3112a3f10c03c1be2dabecc8152cb74b789c274d241a3ff350

Observation 5eed7353-08dc-4df7-b79e-5094ff1c52bd · outbound

This paper cites Deep Think with Confidence.

Consilience for Verifier-Free Test-Time Scaling Deep Think with Confidence

Reference 11

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source=pdf_text observed=2026-08-11T04:48:30.631922Z digest=sha256:7eaad3490a56a8cc95ab2d97862a80dca4b5a97f942113bf4ff2a77f35e36813

Observation 5720860c-3aef-47c2-be11-777dcfb565a8 · outbound

This paper cites Zico Kolter, Andrej Risteski, and Aditi Raghunathan.

Consilience for Verifier-Free Test-Time Scaling Zico Kolter, Andrej Risteski, and Aditi Raghunathan

Reference 12

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source=pdf_text observed=2026-08-11T04:48:30.701223Z digest=sha256:8ff2f449a46a7a8b43cfc292aeae8c765edf671b1c6e2dad21fbc68025db0dfd

Observation bc3e6d19-5aa2-48be-bfa3-3a58ace31ff4 · outbound

This paper cites A survey of confidence estimation and calibration in large language models.

Consilience for Verifier-Free Test-Time Scaling A survey of confidence estimation and calibration in large language models

Reference 13

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source=pdf_text observed=2026-08-11T04:48:30.793766Z digest=sha256:b4bfbd8fb1c3c39d3c27bbd058e6a850dee02c7717207caca67b4d8fdb3c9a9b

Observation c48e55ca-1cc4-4497-bde2-41313aabe483 · outbound

This paper cites an unresolved cited work.

Consilience for Verifier-Free Test-Time Scaling Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-11T04:48:30.801711Z digest=sha256:7333f129e907735803dd149a7ee618449735c43e0a3cc0d38cf489794549b355

Observation 12f8e8a1-b670-49e4-a2cc-675ed3fdff72 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code.

Consilience for Verifier-Free Test-Time Scaling LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code

Reference 15

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source=pdf_text observed=2026-08-11T04:48:30.810621Z digest=sha256:8ba7a55fb08547cdf36df004bfe70aae6b36b7904c280cf7e0987879354d8e1e

Observation e2ec731c-0a2d-4fbc-ba06-d7ae7796c085 · outbound

This paper cites SWE-bench: Can Language Models Resolve Real-World GitHub Issues?.

Consilience for Verifier-Free Test-Time Scaling SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Reference 16

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source=pdf_text observed=2026-08-11T04:48:30.818113Z digest=sha256:ed43809bdca0c38705551aaa9eed6dbe2f12cdde44b1672058d4f1b1e047c2f8

Observation 1fcd000a-0fe4-467b-8dd9-51920ff1b6b4 · outbound

This paper cites Scalable best-of-n selection for large language models via self-certainty, 2025.

Consilience for Verifier-Free Test-Time Scaling Scalable best-of-n selection for large language models via self-certainty, 2025

Reference 17

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source=pdf_text observed=2026-08-11T04:48:30.825835Z digest=sha256:73d2750896173f34947a5fe7750087f3af51a70b8e276c089516c8fc8a9aaeb7

Observation 5b1ebf89-fe1b-4140-9fc7-4fb0fd639a0b · outbound

This paper cites Early-Token Confidence Predicts Reasoning Quality in Multi-Agent LLM Debate.

Consilience for Verifier-Free Test-Time Scaling Early-Token Confidence Predicts Reasoning Quality in Multi-Agent LLM Debate

Reference 18

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source=pdf_text observed=2026-08-11T04:48:30.832980Z digest=sha256:57aa036528843f933b05b2bd495fb2ded0404936bd922676b8434f8d79874194

Observation 4d8c27ca-4440-46e8-90ae-1d92e777343c · outbound

This paper cites Scaling Test-Time Compute for Agentic Coding.

Consilience for Verifier-Free Test-Time Scaling Scaling Test-Time Compute for Agentic Coding

Reference 19

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source=pdf_text observed=2026-08-11T04:48:30.844352Z digest=sha256:5c5829fb5416e6857337eed3d16e596eac504128b00ca3c522f88382c6f6b826

Observation 4325dc4b-ea0f-4943-b46b-4a67d54f23c0 · outbound

This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

Consilience for Verifier-Free Test-Time Scaling Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 20

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source=pdf_text observed=2026-08-11T04:48:30.855313Z digest=sha256:97971723508fdb1c77df6b72fc1b7cdc97f61c3d93437a0df0db6b43db45a4cc

Observation 7c099783-a30a-4215-a997-0c117177f854 · outbound

This paper cites CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning.

Consilience for Verifier-Free Test-Time Scaling CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning

Reference 21

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source=pdf_text observed=2026-08-11T04:48:30.864701Z digest=sha256:e849d966ef3f6fee675a5ad8a20fe970e66d0dd272bb82b73bcb6716deefdf60

Observation 0da969a2-3a7c-41e3-a361-258f7d9934ab · outbound

This paper cites Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning.

Consilience for Verifier-Free Test-Time Scaling Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement Learning

Reference 22

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source=pdf_text observed=2026-08-11T04:48:30.873942Z digest=sha256:6f3a84501ef5e4fd40a91bb210957ccf4900ab70e8017b3796994f6f16785f3c

Observation 8070d461-90a1-471c-8731-86f545a3e36d · outbound

This paper cites Escape sky-high cost: Early-stopping self-consistency for multi-step reasoning,.

Consilience for Verifier-Free Test-Time Scaling Escape sky-high cost: Early-stopping self-consistency for multi-step reasoning,

Reference 23

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source=pdf_text observed=2026-08-11T04:48:30.881503Z digest=sha256:12208bb0c5a27373c5aed90aa53aa0318600d06b3bb9643bbcf7d19732001a61

Observation b1de662b-97c5-4c57-8ce5-660896164a76 · outbound

This paper cites Lost at the beginning of reasoning, 2025.

Consilience for Verifier-Free Test-Time Scaling Lost at the beginning of reasoning, 2025

Reference 24

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Observation 060b827b-ee8d-4bda-81b4-a86f7e8c4e88 · outbound

This paper cites Let's Verify Step by Step.

Consilience for Verifier-Free Test-Time Scaling Let's Verify Step by Step

Reference 25

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source=pdf_text observed=2026-08-11T04:48:30.913844Z digest=sha256:9051ae7c42ff04d9505e978c365fe95b829469cc49a9d0f8a21773f4ef765a95

Observation 75ec1397-81a1-429a-a615-76d050400dc9 · outbound

This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

Consilience for Verifier-Free Test-Time Scaling Self-Refine: Iterative Refinement with Self-Feedback

Reference 26

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source=pdf_text observed=2026-08-11T04:48:30.921631Z digest=sha256:f2902f0c96fd01c0e50b1a126956c18ab9d54d562d9851b66ad22de64c7aa593

Observation d9c43b59-6e03-46ed-a3df-9423f4a1c204 · outbound

This paper cites Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic.

Consilience for Verifier-Free Test-Time Scaling Temporalizing Confidence: Evaluation of Chain-of-Thought Reasoning with Signal Temporal Logic

Reference 27

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Observation 45dc9bc4-159d-436a-bbb1-a2a8e93c1293 · outbound

This paper cites OpenAI o1 System Card.

Consilience for Verifier-Free Test-Time Scaling OpenAI o1 System Card

Reference 28

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source=pdf_text observed=2026-08-11T04:48:31.013675Z digest=sha256:5f36280923d783a3b17ef1f7fe2ee0a5603ff1b865002bc48baf23b580ae8e3c

Observation 1ff02c65-d60d-49e8-a0ec-613c0a64a9a5 · outbound

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

Consilience for Verifier-Free Test-Time Scaling gpt-oss-120b & gpt-oss-20b Model Card

Reference 29

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source=pdf_text observed=2026-08-11T04:48:31.065434Z digest=sha256:7a0f5685c164e4bcee9f2c76dc5aa4ffd6c1a69c97ddb1bf2521cf339ae73c81

Observation 8276fbe6-03b1-40f4-85e1-edec7c33838d · outbound

This paper cites Maximizing Prefix-Confidence at Test-Time Efficiently Improves Mathematical Reasoning.

Consilience for Verifier-Free Test-Time Scaling Maximizing Prefix-Confidence at Test-Time Efficiently Improves Mathematical Reasoning

Reference 30

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local_arxiv, observed 2026-08-11T04:48:32.395054Z

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source=pdf_text observed=2026-08-11T04:48:31.084050Z digest=sha256:161fa89ca92d10c27a868cdf19f18db825e7ecaf59046f67616d3475afb1a9f6

Observation db99ce5a-aaa3-4f43-8071-74795ec005f1 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Consilience for Verifier-Free Test-Time Scaling GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 31

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source=pdf_text observed=2026-08-11T04:48:31.093799Z digest=sha256:226620b258f093c3657465304c14a49164049b31737c29f986d7261ad9578ecf

Observation 4d40be35-93bc-45cb-92ea-d59cb0d5da92 · outbound

This paper cites Self-critiquing models for assisting human evaluators.

Consilience for Verifier-Free Test-Time Scaling Self-critiquing models for assisting human evaluators

Reference 32

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source=pdf_text observed=2026-08-11T04:48:31.103538Z digest=sha256:e7f6f023be9effc544c7249bf16be9f3d86a1a478eea0c082356b3c0d2ffbb08

Observation a3970d99-0199-4843-903d-03a37e3305cf · outbound

This paper cites Scaling Test-Time Compute Without Verification or RL is Suboptimal.

Consilience for Verifier-Free Test-Time Scaling Scaling Test-Time Compute Without Verification or RL is Suboptimal

Reference 33

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source=pdf_text observed=2026-08-11T04:48:31.112720Z digest=sha256:fc5032bfcb4fde524347c6923c9a40168679c82cd51d2b0c13c92170ed25b6bd

Observation 44993166-89e6-4306-b6fb-21f8ba40f4dd · outbound

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

Consilience for Verifier-Free Test-Time Scaling Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 34

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source=pdf_text observed=2026-08-11T04:48:31.120912Z digest=sha256:b592f475f5df158f30ff42bfd0f8e7f33eee50f57646f3566783d872406bfad5

Observation 68a39abd-f34b-4532-88e7-8cfd1934c4f6 · outbound

This paper cites Bartoldson, Bhavya Kailkhura, Guillaume Lajoie, Glen Berseth, Nikolay Malkin, and Moksh Jain.

Consilience for Verifier-Free Test-Time Scaling Bartoldson, Bhavya Kailkhura, Guillaume Lajoie, Glen Berseth, Nikolay Malkin, and Moksh Jain

Reference 35

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source=pdf_text observed=2026-08-11T04:48:31.127412Z digest=sha256:41a24b4e4a6575cc3f4c2cbd49019ebd88734ed379537bd12a3f99322e58f191

Observation 77339b31-91e5-4021-a4c7-3870c36f322a · outbound

This paper cites Math-shepherd: Verify and reinforce LLMs step-by-step without human annotations.

Consilience for Verifier-Free Test-Time Scaling Math-shepherd: Verify and reinforce LLMs step-by-step without human annotations

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:48:31.136395Z digest=sha256:2cfef181e1eceb3620ac3675d419c3cfe1e6f67e2fab47b7ea84c95f5fcba801

Observation 299cf992-0296-45bc-b898-4af48a29ded4 · outbound

This paper cites Every rollout counts: Optimal resource allocation for efficient test-time scaling, 2025.

Consilience for Verifier-Free Test-Time Scaling Every rollout counts: Optimal resource allocation for efficient test-time scaling, 2025

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-11T04:48:31.143756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:48:31.143756Z digest=sha256:efb8b2525ada5a5842ae9a9e531d8c3310ddf38b2898e5942c4e4adfd618a4d0

Observation aa3b07bd-ed65-4f33-8129-8b87b7adf466 · outbound

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

Consilience for Verifier-Free Test-Time Scaling Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T04:48:31.153404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:48:31.153404Z digest=sha256:e00579444a616c06ff8f004c10264b235bfd30a6defdf4f194fba4676e63189f

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

This paper cites Inference Time Optimization with Confidence Dynamics.

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.

source=pdf_text observed=2026-08-11T04:48:31.160501Z digest=sha256:f2e97b00a97e76b4c614156d2a1af9b8a366ab05a8135762d21b03cc9d498079

Observation 95f453fd-6cdd-4176-aed9-177caac0f64b · outbound

This paper cites Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper Reasoning.

Consilience for Verifier-Free Test-Time Scaling Unlocking Exploration in RLVR: Uncertainty-aware Advantage Shaping for Deeper Reasoning

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T04:48:31.229491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:48:31.229491Z digest=sha256:b724f8af37f855864968b9c691f53f5d0bf6b9945d5c63147fd52458e5405b1d

Observation 490b8982-d47a-47c1-978a-10e1265b7f77 · outbound

This paper cites Qwen3 Technical Report.

Consilience for Verifier-Free Test-Time Scaling Qwen3 Technical Report

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T04:48:31.274743Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:48:31.274743Z digest=sha256:459d564a65d8a8016034e6375b54c4bbf30d427e19833e4c521062acdd613807

Observation c1d2edbe-ad59-4f4f-b721-7d2b9b9fcf99 · outbound

This paper cites SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering.

Consilience for Verifier-Free Test-Time Scaling SWE-agent: Agent-Computer Interfaces Enable Automated Software Engineering

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T04:48:31.281787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:48:31.281787Z digest=sha256:9512df6ca895ca0552a63936a09989c7657a7a6b9faaa338cd7b48ccd0934b19

Observation 5278d1d1-e421-47d6-b00a-85f31f59b24c · outbound

This paper cites Tree of Thoughts: Deliberate Problem Solving with Large Language Models.

Consilience for Verifier-Free Test-Time Scaling Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T04:48:31.288779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:48:31.288779Z digest=sha256:09af9abe36b6202c198c84edd824eec95aba7af9888708c3b3a21df8a22a6ea0

Observation 3cc557da-d648-4571-ba4f-1b49f1017218 · outbound

This paper cites Reasoning models better express their confidence,.

Consilience for Verifier-Free Test-Time Scaling Reasoning models better express their confidence,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:48:33.789800Z

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.

source=pdf_text observed=2026-08-11T04:48:31.295048Z digest=sha256:bd2dbf6945769731a1c9bd7407ba238baf82554507b7fef2ff65a01e8d49d61f

Observation 914ea529-1fe8-4c3a-9fe0-5041fa551c8a · outbound

This paper cites Pruning the unsurprising: Efficient llm reasoning via first-token surprisal, 2026.

Consilience for Verifier-Free Test-Time Scaling Pruning the unsurprising: Efficient llm reasoning via first-token surprisal, 2026

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T04:48:31.314147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:48:31.314147Z digest=sha256:3ce18c0caa51d4233bda9585a3160c42db835c8e4e2b65b60d08d648e490d2af

Observation 0a6a8780-d3ad-42e3-aa05-35788654d6bc · outbound

This paper cites Opencodeinterpreter: Integrating code generation with execution and refinement,.

Consilience for Verifier-Free Test-Time Scaling Opencodeinterpreter: Integrating code generation with execution and refinement,

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:48:33.757331Z

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.

source=pdf_text observed=2026-08-11T04:48:31.329177Z digest=sha256:b2b1710d9013160ba6295a6e7afc7e1de928164077d0995895dd3760c12661cb

Observation 9ec016dc-401f-4c34-9a2f-59b8c6ebe7f3 · outbound

This paper cites TTRL: Test-Time Reinforcement Learning.

Consilience for Verifier-Free Test-Time Scaling TTRL: Test-Time Reinforcement Learning

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-11T04:48:31.390349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:48:31.390349Z digest=sha256:10c612de7caca03ffb11a37406fe6580a7aacf21b461c4042c18af89d324f0cb

Observation ae8a8e9f-a8ad-4c03-9fe6-bed2ea1d014d · outbound

This paper cites OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement.

Consilience for Verifier-Free Test-Time Scaling OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T04:48:31.339595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:48:31.339595Z digest=sha256:9e37e02b74006bb2d1389717334f7bb7f2139575d2cf370123a132b53af53adb

Observation 162b4f06-6972-4f31-b4f0-3497d6109ef8 · outbound

This paper cites if its value is already in the path, we cannot extend further.

Consilience for Verifier-Free Test-Time Scaling if its value is already in the path, we cannot extend further

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:48:33.625308Z

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.

source=pdf_text observed=2026-08-11T04:48:31.522069Z digest=sha256:e6e4e78daa3f87f7b4d30824244f35f3b72a6101d60fc3ca2670f4e0cab029d5

Observation 338c548f-a1b4-41be-9e33-9f0b8b795857 · outbound

This paper cites We analyze this response via keyword matching to determine if it constitutes a file-editing action (specifically checking for: sed -i,cat «,tee ,> /,patch , orEOF).

Consilience for Verifier-Free Test-Time Scaling We analyze this response via keyword matching to determine if it constitutes a file-editing action (specifically checking for: sed -i,cat «,tee ,> /,patch , orEOF)

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:48:33.506010Z

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.

source=pdf_text observed=2026-08-11T04:48:31.600970Z digest=sha256:ea7fe2048d91bf242734879ce7921ff01037895d00fe69396c57e2f050f35d02

Observation a8484db8-4e91-4ae8-a0a7-7d5a3438bd18 · outbound

This paper cites If an editing keyword is present, and the bash command is larger then L lines, the step is flagged as a critical reasoning node.

Consilience for Verifier-Free Test-Time Scaling If an editing keyword is present, and the bash command is larger then L lines, the step is flagged as a critical reasoning node

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:48:33.477143Z

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.

source=pdf_text observed=2026-08-11T04:48:31.606903Z digest=sha256:894682144d3e4685b846a310986211b1162eb6e4895a99bc5ab7e6b1f5a0fc38

Observation cf7c75a0-9b4d-4adf-ac4c-c4f7887fe772 · outbound

This paper cites an unresolved cited work.

Consilience for Verifier-Free Test-Time Scaling Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-11T04:48:33.436515Z

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.

source=pdf_text observed=2026-08-11T04:48:31.614245Z digest=sha256:2dfff27e1e362748606fd58764b00d15a41168534be30fa66cbb4259c93cad37

Observation 739ffdc9-6779-4ea0-b999-6a96b8b4805c · outbound

This paper cites We note that this keyword-triggered interception is an intentionally coarse harness.

Consilience for Verifier-Free Test-Time Scaling We note that this keyword-triggered interception is an intentionally coarse harness

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T04:48:33.416409Z

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.

source=pdf_text observed=2026-08-11T04:48:31.620558Z digest=sha256:c7929e41f80825d609015ee3b36f0fd20d5d43fec4717ef6d9570276d830c6c2

Observation fec1278a-818b-4e45-ad51-3ea06143045c · outbound

This paper cites Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning.

Consilience for Verifier-Free Test-Time Scaling Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T04:48:30.889282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:48:30.889282Z digest=sha256:cc5a224fa8b279ebb2b3210924df976cc8d832b7fa776782c1a2a945cc895201

Observation 75eb69d3-4925-49ed-a672-4be8da27ee2d · outbound

This paper cites an unresolved cited work.

Consilience for Verifier-Free Test-Time Scaling Unresolved cited work

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-11T04:48:31.305348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T04:48:31.305348Z digest=sha256:d705ff03f1bf3a2ee23782f0a00a4f78b3515b4753582db88dc945daf3deda37

Observation dfde5402-351d-46e2-9579-f0b93517c0c6 · outbound

This paper cites Understanding and Mitigating Premature Confidence for Better LLM Reasoning.

Consilience for Verifier-Free Test-Time Scaling Understanding and Mitigating Premature Confidence for Better LLM Reasoning

Reference 2026

Resolution
verified exact
local_arxiv, observed 2026-08-11T04:48:33.010560Z

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.

source=pdf_text observed=2026-08-11T04:48:30.769718Z digest=sha256:576dd866f20aefbc657264421619c522489de940b6959e53743906bb467a7232

Pith citing papers

No inbound Pith citation observations are available.