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Paper Citation Record · LEDGER

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes

As of 7 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2607.18228.

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

pith.paper-citation-record.v1
2607.18228 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T15:40:37.219564Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+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

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Source: cited_works

Reference resolution

27 of 27 outbound references displayed

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  • unresolved26
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  • malformed identifier1
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External citation measurements

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Outbound references

Observation b3e046c6-418e-4b71-82a6-a894da5eebf2 · outbound

This paper cites Evaluating Large Language Models with NeuBAROCO: Syllogistic Reasoning Ability and Human-like Biases.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Evaluating Large Language Models with NeuBAROCO: Syllogistic Reasoning Ability and Human-like Biases

Reference 1

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source=pdf_text observed=2026-08-01T15:40:35.217346Z digest=sha256:e2a88e1a925777dbc3c096380993439e990e3954607e0f93c7cb9e02f0c9ea53

Observation 787bf6f5-0945-41be-a058-99669811a2d6 · outbound

This paper cites Probing classifiers: Promises, shortcomings, and advances.Computational Linguistics, 48(1):207–219, 2022.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Probing classifiers: Promises, shortcomings, and advances.Computational Linguistics, 48(1):207–219, 2022

Reference 2

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source=pdf_text observed=2026-08-01T15:40:35.259285Z digest=sha256:c486402314973ba0bda64e5984c0b892f313aa0b5afbc5d17373934cee538c96

Observation c996777c-720e-4da2-8c88-9dbfbf1375b6 · outbound

This paper cites A systematic analysis of large language models as soft reasoners: The case of syllogistic inferences.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes A systematic analysis of large language models as soft reasoners: The case of syllogistic inferences

Reference 3

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source=pdf_text observed=2026-08-01T15:40:35.310524Z digest=sha256:34555a01db0a0676e194838d551df28c368145d2985e79929f240f2bbdf0b95a

Observation fca63d1e-16b8-453c-8966-7f98fb4a1a71 · outbound

This paper cites Discovering Latent Knowledge in Language Models Without Supervision.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Discovering Latent Knowledge in Language Models Without Supervision

Reference 4

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source=pdf_text observed=2026-08-01T15:40:35.398243Z digest=sha256:575c8876f4c9b5b1555240c5743cdc380727bd5b6285567f89b5dd6d450e2e78

Observation 99d48f43-1f1a-4413-aa3c-a82626341d71 · outbound

This paper cites Language models show human-like content effects on reasoning tasks.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Language models show human-like content effects on reasoning tasks

Reference 5

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source=pdf_text observed=2026-08-01T15:40:35.470793Z digest=sha256:420fa709b0fea764ec99d5f368d91f6939fe09b5438c06a20d3bff7585348ab2

Observation 024bd385-f208-42d5-8bdd-00913ce19f97 · outbound

This paper cites Sphere Neural-Networks for Rational Reasoning.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Sphere Neural-Networks for Rational Reasoning

Reference 6

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source=pdf_text observed=2026-08-01T15:40:35.534303Z digest=sha256:68b97114f2658ff730af4dadbf01fc08276021d6ce50b1e5bd276364c3546897

Observation 09ab65ab-525e-4afb-aa81-d0f3bd334af0 · outbound

This paper cites Data-driven Machine Learning Cannot Reach Symbolic-level Logical Reasoning -- The Limit of the Scaling Law.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Data-driven Machine Learning Cannot Reach Symbolic-level Logical Reasoning -- The Limit of the Scaling Law

Reference 7

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source=pdf_text observed=2026-08-01T15:40:35.612553Z digest=sha256:f094721689efbe7e683b6f72476f3bcd24f93910930e65cab85f18d93968be8c

Observation 3532a0ad-b66b-4104-b719-3683947138ab · outbound

This paper cites A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes A Systematic Comparison of Syllogistic Reasoning in Humans and Language Models

Reference 8

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source=pdf_text observed=2026-08-01T15:40:35.692252Z digest=sha256:00fe8bb198e374c83a11fd2f0abd3a60c445619ca4cef612363e2b49db8d0913

Observation ceea517e-09bb-4ca7-acc9-0f97b9925a6a · outbound

This paper cites Gemma 4 31B model card.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Gemma 4 31B model card

Reference 9

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source=pdf_text observed=2026-08-01T15:40:35.791033Z digest=sha256:db085462699a27e7f9deb9a5cb118a1426971760396508ec6a30119475ee8cf5

Observation 0707091e-45ec-43a4-947e-03722d719997 · outbound

This paper cites an unresolved cited work.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-01T15:40:35.833739Z digest=sha256:24315d62d2296b4b50f486d379ce2a2ebb66efba81115cb910928e30cc05356c

Observation 72cad1ca-4db0-4a2f-8de6-519abd51e8a6 · outbound

This paper cites Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Reasoning Circuits in Language Models: A Mechanistic Interpretation of Syllogistic Inference

Reference 11

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source=pdf_text observed=2026-08-01T15:40:35.906019Z digest=sha256:9acd6b0e3faf79db53d8a0576bcefae7e1ad2dc7dfaf6c9799d3489b4434c6cb

Observation 7e6bbfb0-d20f-4a21-a50c-297f328a1f8e · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 12

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source=pdf_text observed=2026-08-01T15:40:35.959409Z digest=sha256:0e1afdfc9d0c1c37ca8bf9d0a252dd16496ea6e34dc2e361fd34c69780664a23

Observation 1f8f2587-5136-4aaf-8c59-56864c34f34c · outbound

This paper cites Inference-Time Intervention: Eliciting Truthful Answers from a Language Model.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

Reference 13

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source=pdf_text observed=2026-08-01T15:40:36.013451Z digest=sha256:a6e59d3976bc7c89d864db2fa2990a91454af632c8ee15d9afcd74b80fa8add3

Observation b67dfd64-284b-442e-a96f-c5a1f1b50327 · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 14

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Observation e4faf9f3-0b03-47bd-8ea7-742638fce4a0 · outbound

This paper cites Locating and editing factual associations in GPT.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Locating and editing factual associations in GPT

Reference 15

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Observation 9c98f59d-70aa-43d3-858c-2eddc81f95c7 · outbound

This paper cites BIS Reasoning 1.0: The first large-scale Japanese benchmark for belief-inconsistent syllogistic reasoning.arXiv preprint arXiv:2506.06955, 2025.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes BIS Reasoning 1.0: The first large-scale Japanese benchmark for belief-inconsistent syllogistic reasoning.arXiv preprint arXiv:2506.06955, 2025

Reference 16

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Observation d9692fc1-02e5-4c21-8add-1c4365148bd4 · outbound

This paper cites Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Logic-LM: Empowering Large Language Models with Symbolic Solvers for Faithful Logical Reasoning

Reference 17

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Observation 8b4b408e-caf3-4fe5-8b62-c748d8e8a622 · outbound

This paper cites Qwen3 Technical Report.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Qwen3 Technical Report

Reference 18

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source=pdf_text observed=2026-08-01T15:40:36.436652Z digest=sha256:9c40e39f48e1eca8602321af1bf775dc6b2d1e1653829e5ea1f780a11d25d36a

Observation 983b443d-2ce3-4072-bc83-05db8e86e553 · outbound

This paper cites Qwen3.6-35B-A3B model card.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Qwen3.6-35B-A3B model card

Reference 19

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Observation 08f3cdd3-f6aa-40fd-9246-ef97514d9828 · outbound

This paper cites Can Transformers Reason in Fragments of Natural Language?.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Can Transformers Reason in Fragments of Natural Language?

Reference 20

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Observation d3268f6a-4563-4f02-bc30-06e7152dc068 · outbound

This paper cites Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Soft Prompt Threats: Attacking Safety Alignment and Unlearning in Open-Source LLMs through the Embedding Space

Reference 21

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source=pdf_text observed=2026-08-01T15:40:36.714300Z digest=sha256:61a861d6c46187ffb4839de9859ffba480fac76840c1955d46615d3710f78258

Observation c51b6a2f-77e6-4e67-9973-564fbd2a411d · outbound

This paper cites Steering Language Models With Activation Engineering.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Steering Language Models With Activation Engineering

Reference 22

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Observation 896c0290-2e11-481b-a79b-9a943b73a3b7 · outbound

This paper cites Universal adver- sarial triggers for attacking and analyzing NLP.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Universal adver- sarial triggers for attacking and analyzing NLP

Reference 23

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Observation 8574801d-55b6-4328-a0ef-0e23fa75a195 · outbound

This paper cites SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes SylloBio-NLI: Evaluating Large Language Models on Biomedical Syllogistic Reasoning

Reference 24

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Observation 721eeb8a-4c7c-4593-ae07-4f1dea3a026c · outbound

This paper cites Towards best practices of activation patching in language models: Metrics and methods.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Towards best practices of activation patching in language models: Metrics and methods

Reference 25

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Observation 58faf902-9fdc-4519-b41f-fcd55044a7f5 · outbound

This paper cites Representation Engineering: A Top-Down Approach to AI Transparency.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Representation Engineering: A Top-Down Approach to AI Transparency

Reference 26

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Observation 44b506ec-0559-4883-afab-ce8ae221d1d9 · outbound

This paper cites an unresolved cited work.

Logical Judgments Under Pressure: Diagnosing Syllogistic Stability with Learned Soft Prefixes Unresolved cited work

Reference 2019

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Pith citing papers

No inbound Pith citation observations are available.