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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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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  • 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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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:c16a9873c36cf077fa0625ef02ff23dfeb0a5582a50ec39f00c7a501504ee4dc

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:e803b18fc2110f6c73fbc4f0fa40362889ca898f86924af47fb0787c6ddff78d

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:fbcc7e2c2a29de5429756b5f3ef5bd26fd378f96d7134b4f34f15510ed7f8eb1

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:dde1684101f04d2d4f5109437dba37c6a4068b0e74ef1055bd2450bb87a574b1

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:edcada69ee15fdd0203e0af35a32af70589f4c6e4efb98b637eff33c0ef63ae1

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=sha256:0161a19c01f7e4b0f7e757658748f0960d29e58f9f29b68bb7e85d18bb6c41ad

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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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=sha256:89b6cdb6e234022b6c04934569afa078d817bab85f7b2f8a2be0f4b5ddeff984

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:d36ff58383fb0ab3e9f33d642069213dafd4e5392125fd43096b1253d0e2eb89

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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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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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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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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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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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

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