Paper Citation Record · LEDGER

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment

As of 9 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 3 inbound Pith citation observations for arXiv:2502.07803.

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

pith.paper-citation-record.v1
2502.07803 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T10:29:05.278283Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T05:05:24.659730Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T20:57:46.852989Z

Reference resolution

47 of 47 outbound references displayed

verified exact1
verified fuzzy19
unresolved27
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 546b5378-dbce-4bc6-9e3f-a0eaf0a2c79f · outbound

This paper cites write newline.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.033813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8c4e1a5-455b-40d7-a4ac-ed6ad09d44af · outbound

This paper cites Program Synthesis with Large Language Models.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Program Synthesis with Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.040864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7b251da-7b3b-4775-9bd5-e5eb5ce7eb03 · outbound

This paper cites Graph of thoughts: Solving elaborate problems with large language models.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Graph of thoughts: Solving elaborate problems with large language models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.046662Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c53218c-887f-4688-8b3d-6877426fe8be · outbound

This paper cites Codet: Code generation with generated tests.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Codet: Code generation with generated tests

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.524615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 8443c857-5f40-491e-a936-6d34bec86d26 · outbound

This paper cites Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.058277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4dcc9f1-862f-43db-9936-9a65220c5cff · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Evaluating Large Language Models Trained on Code

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.063871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46dad573-cdb3-4923-a018-add935895613 · outbound

This paper cites an unresolved cited work.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-09T10:29:06.509207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4c285c34-c410-484b-9060-470b5d386903 · outbound

This paper cites Teaching large language models to self-debug.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Teaching large language models to self-debug

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.493500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2c13c0c4-67ce-4b4c-9f66-8ad954c445ec · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Training Verifiers to Solve Math Word Problems

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.086920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13d73605-4ecc-4e01-a00f-3be79f6bc01e · outbound

This paper cites J., Kaiser, G.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment J., Kaiser, G

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.091899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e9691ca-7c51-409c-aa27-d70dbe6a639b · outbound

This paper cites an unresolved cited work.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Unresolved cited work

Reference 12

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T10:29:06.130853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 08957de5-5eaf-4ba8-a095-25b1d9cd9fc6 · outbound

This paper cites Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.102114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd16ddfb-efbb-4572-a6d5-9c2511e94b97 · outbound

This paper cites PAL: program-aided language models.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment PAL: program-aided language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.478263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53553d9f-808b-4c23-9d8c-e0f73eb4051d · outbound

This paper cites CRITIC: large language models can self-correct with tool-interactive critiquing.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment CRITIC: large language models can self-correct with tool-interactive critiquing

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.462711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 614d7321-f87c-454b-89c3-060cb693c5ae · outbound

This paper cites Measuring mathematical problem solving with the MATH dataset.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Measuring mathematical problem solving with the MATH dataset

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.447129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 634cebc7-abe4-478a-b59d-bea7ec6add2e · outbound

This paper cites an unresolved cited work.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-09T10:29:06.431580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 014e535e-2a16-4fc1-97fe-9340b404de88 · outbound

This paper cites CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment CodeCoT: Tackling Code Syntax Errors in CoT Reasoning for Code Generation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.127201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 510e90b4-76a4-4954-831f-b0223688190d · outbound

This paper cites S., Yu, A.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment S., Yu, A

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.416055Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b6c54d26-b4b2-4a57-8b19-709b50005ae4 · outbound

This paper cites Language Models (Mostly) Know What They Know.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Language Models (Mostly) Know What They Know

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.138311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16015822-9748-4955-98ab-52ee9babb422 · outbound

This paper cites When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.143540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9db64824-aa3a-45b0-8241-10af2b7d6823 · outbound

This paper cites S., Yang, L., tse Huang, J., Zhu, Z., Zhang, L., and Lyu, M.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment S., Yang, L., tse Huang, J., Zhu, Z., Zhang, L., and Lyu, M

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.148721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation acdb6949-71ce-4d71-981f-c35c2c6de934 · outbound

This paper cites Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Getting from Generative AI to Trustworthy AI: What LLMs might learn from Cyc

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.153703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 246844a9-4ed8-4b8a-a996-6917b2a5b08c · outbound

This paper cites How do humans write code? large models do it the same way too.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment How do humans write code? large models do it the same way too

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.400548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 04b2d777-4c84-4185-9089-c11925e05978 · outbound

This paper cites Deductive verification of chain-of-thought reasoning.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Deductive verification of chain-of-thought reasoning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.384723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d2bbc911-f087-4886-917e-013449c9fa5d · outbound

This paper cites Large Language Models have Intrinsic Self-Correction Ability.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Large Language Models have Intrinsic Self-Correction Ability

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.168527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ac8284d-ce21-4762-8ab6-83c2d3f19bd0 · outbound

This paper cites Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Evaluating the Logical Reasoning Ability of ChatGPT and GPT-4

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.173640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa978ee7-04bd-4a07-8f2e-25c65f47e082 · outbound

This paper cites S., Wang, Y., and Zhang, L.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment S., Wang, Y., and Zhang, L

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.368367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ed2af96e-322e-458b-ab1d-2811b2a10a33 · outbound

This paper cites At which training stage does code data help llms reasoning? In The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment At which training stage does code data help llms reasoning? In The Twelfth International Conference on Learning Representations, ICLR 2024, Vienna, Austria, May 7-11, 2024

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.351535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6113975c-dd1c-4165-93c7-991c3395e200 · outbound

This paper cites W., and Rainforth, T.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment W., and Rainforth, T

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.335582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0798575f-cd5d-4322-b406-dbc7a931026f · outbound

This paper cites GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.193607Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 495fd769-889d-484a-85a9-e2807d6b4a6c · outbound

This paper cites Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Beyond Accuracy: Evaluating the Reasoning Behavior of Large Language Models -- A Survey

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.198791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbc3e3eb-9ea6-4c4b-92bc-46414105ca7b · outbound

This paper cites I., and Lin, X.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment I., and Lin, X

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.318943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1e9a7cf2-a22b-4a8c-b9af-727862e60653 · outbound

This paper cites Gsm8k, 2025.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Gsm8k, 2025

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.303349Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ba0f31c6-aa94-4218-96c5-3a57ad034b0f · outbound

This paper cites and Freitas, A.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment and Freitas, A

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.287603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6bf86bf7-9edf-4159-8fed-fe3702351e56 · outbound

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

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.218643Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8115c949-cfaa-4942-9038-22dba9639f4b · outbound

This paper cites Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Judging the Judges: Evaluating Alignment and Vulnerabilities in LLMs-as-Judges

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.223746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96a5fe5a-9189-4e90-b59e-f3d8c88903af · outbound

This paper cites V., Chi, E.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment V., Chi, E

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.228814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 970a9825-e105-450d-9f2d-58678045473d · outbound

This paper cites H., Le, Q.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment H., Le, Q

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.260497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b42e9d0e-ab6b-4232-ad48-4c1d3372b8ee · outbound

This paper cites Enhancing Mathematical Reasoning in LLMs by Stepwise Correction.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Enhancing Mathematical Reasoning in LLMs by Stepwise Correction

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.238315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2260a021-644a-4f99-bcc4-dd091ff0fa30 · outbound

This paper cites Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Keep the Conversation Going: Fixing 162 out of 337 bugs for $0.42 each using ChatGPT

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.243597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e524d678-a637-4c35-a15f-16df02300661 · outbound

This paper cites Decompose, analyze and rethink: Solving intricate problems with human-like reasoning cycle.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Decompose, analyze and rethink: Solving intricate problems with human-like reasoning cycle

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.244645Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e66bd507-a5a3-4440-a442-3eb7ffc538ee · outbound

This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Tree of thoughts: Deliberate problem solving with large language models

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.228494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0da10a2e-e72d-4328-8b63-a267aadc27fb · outbound

This paper cites Natural language reasoning, A survey.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Natural language reasoning, A survey

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.258902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7c361ab-5fcc-4d20-a9dd-a37479962e3c · outbound

This paper cites Automatic chain of thought prompting in large language models.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Automatic chain of thought prompting in large language models

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.212486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 56815825-cfc0-408d-b483-f2649955f4d3 · outbound

This paper cites Y., Fu, J., Chen, W., and Yue, X.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Y., Fu, J., Chen, W., and Yue, X

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.268522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3248cc4a-974e-4a1c-a9cb-d094b8cf4760 · outbound

This paper cites an unresolved cited work.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment Unresolved cited work

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-09T10:29:05.273505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2cbf3484-457b-4b26-8303-afb828f04d7c · outbound

This paper cites V., and Chi, E.

Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment V., and Chi, E

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T10:29:06.194997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation 2446dc37-cdd5-45d7-8059-da7222ba9836 · inbound

Scaling over Scaling: Exploring Test-Time Scaling Plateau in Large Reasoning Models cites this paper.

Scaling over Scaling: Exploring Test-Time Scaling Plateau in Large Reasoning Models Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T13:58:35.602583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e0008be-aeaa-4c03-856d-10bb03515b6a · inbound

Reasoning Can Be Restored by Correcting a Few Decision Tokens cites this paper.

Reasoning Can Be Restored by Correcting a Few Decision Tokens Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-19T20:57:46.854504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 36205259-99cd-47fa-a780-7651f597f3c8 · inbound

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning cites this paper.

Refining Over Resampling: Test-Time Self-Correction for LLM Reasoning Reasoning-as-Logic-Units: Scaling Test-Time Reasoning in Large Language Models Through Logic Unit Alignment

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-08T05:05:24.659730Z

Source-reported events for the cited work

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