Paper Citation Record · LEDGER

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning

As of 9 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2607.28478.

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

pith.paper-citation-record.v1
2607.28478 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T06:09:53.848261Z

measured 15 of 15 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 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

15 of 15 outbound references displayed

verified exact0
verified fuzzy0
unresolved15
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation aa1be9c2-ad21-4039-93fb-4dcdf78b16a9 · outbound

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

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-07-31T06:09:53.803423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e2dac50-5fa5-4b41-9274-9c58a581226e · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning Measuring Mathematical Problem Solving With the MATH Dataset

Reference 6

Resolution: unresolved; no resolver link, observed 2026-07-31T06:09:53.808384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b99c1898-30c6-47b5-8ff1-b27a9e42b8f7 · outbound

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

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning Language Models (Mostly) Know What They Know

Reference 7

Resolution: unresolved; no resolver link, observed 2026-07-31T06:09:53.812762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b629b9d2-5030-459d-b35f-8000bef25eb4 · outbound

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

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-07-31T06:09:53.821520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cdd48a53-91e2-47d3-ab5f-392fefe0bfb4 · outbound

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

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T06:09:53.830262Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 794bdeb9-70a2-4de7-a4fe-f20b6940acf0 · outbound

This paper cites A Survey on (M)LLM-Based GUI Agents.

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning A Survey on (M)LLM-Based GUI Agents

Reference 12

Resolution: unresolved; no resolver link, observed 2026-07-31T06:09:53.835065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 420473a3-06ab-4a5b-bd4b-326772e6c33c · outbound

This paper cites On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective

Reference 13

Resolution: unresolved; no resolver link, observed 2026-07-31T06:09:53.839702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebe366e1-fbcf-4933-aacc-1a382e9c61ca · outbound

This paper cites arXiv preprint arXiv:2606.19348.

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning arXiv preprint arXiv:2606.19348

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-31T06:09:53.843741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a691680-8a9b-4898-be7b-aa70780e267b · outbound

This paper cites GLM-5: from Vibe Coding to Agentic Engineering.

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning GLM-5: from Vibe Coding to Agentic Engineering

Reference 15

Resolution: unresolved; no resolver link, observed 2026-07-31T06:09:53.848261Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ef9fb48-ccf3-4de4-af13-01bbb9f1f6b4 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning Training Verifiers to Solve Math Word Problems

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-07-31T06:09:53.794368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac68297a-2c1a-4572-bd3c-bfa32b625260 · outbound

This paper cites Advances in Neural Information Processing Systems, 35: 22199–22213.

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning Advances in Neural Information Processing Systems, 35: 22199–22213

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-07-31T06:09:53.817130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c15ca3b9-25e9-4f5f-9c54-2f1ed10911c0 · outbound

This paper cites Qin, Y.; Liang, S.; Ye, Y.; Zhu, K.; Yan, L.; Lu, Y.; Lin, Y.; Cong,X.;Tang,X.; Qian,B.;etal.2024.

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning Qin, Y.; Liang, S.; Ye, Y.; Zhu, K.; Yan, L.; Lu, Y.; Lin, Y.; Cong,X.;Tang,X.; Qian,B.;etal.2024

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-07-31T06:09:53.826170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dc8cc7d-9327-4632-857a-963514e45964 · outbound

This paper cites Anthropic.

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning Anthropic

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-07-31T06:09:53.783917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2bb5d5c7-9a11-4a3a-bd1a-20c60de77682 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-07-31T06:09:53.799000Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5139b2e-c09d-4c62-b2eb-07db4cafe6c8 · outbound

This paper cites The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence.

Would You Walk to the Car Wash? Revealing the Salience Bias of Large Language Models in Commonsense Reasoning The MiniMax-M2 Series: Mini Activations Unleashing Max Real-World Intelligence

Reference 2026

Resolution: unresolved; no resolver link, observed 2026-07-31T06:09:53.789633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.