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Paper Citation Record · LEDGER

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs

As of 22 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2506.13192.

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

pith.paper-citation-record.v1
2506.13192 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:55.601322Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+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

49 of 49 outbound references displayed

  • verified exact5
  • verified fuzzy3
  • unresolved37
  • parse uncertain0
  • malformed identifier4
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation baf7b201-0ed9-468e-b757-c552834d28a3 · outbound

This paper cites Attention is all you need.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Attention is all you need

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:39:51.731141Z digest=sha256:cfbc3a4c89e5dced76568b93aae974bc0ae0af159b60e8221758aef8409096e7

Observation 6614208b-a404-42f7-ab58-cbb45b1deef5 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:51.798483Z digest=sha256:6561f80129cdf035eb0245cf856da1a4be3c8d491af3133a67f1e92d0afa0861

Observation 2f245201-7598-4d27-973f-3efdec01807b · outbound

This paper cites GPT-4 Technical Report.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs GPT-4 Technical Report

Reference 3

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source=pdf_text observed=2026-08-07T00:39:51.838817Z digest=sha256:6be17374febbacfea311544dcad42d8f9c983a8eb9c8435f655fb14133b94835

Observation 49aa1909-4ee1-48e6-bdae-29a2a8a3a699 · outbound

This paper cites The Llama 3 Herd of Models.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs The Llama 3 Herd of Models

Reference 4

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source=pdf_text observed=2026-08-07T00:39:51.886843Z digest=sha256:95051822ad61b6cba439349683b1f77e144b9c31618ee65a4555b5c3e460818f

Observation 21d8f1a7-aa29-4393-bda3-3ae41cc37c3d · outbound

This paper cites Transformer Feed-Forward Layers Are Key-Value Memories.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Transformer Feed-Forward Layers Are Key-Value Memories

Reference 5

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:51.944436Z digest=sha256:e9a0d536fde11e3cbffc76f19bb30a1966b53bfc6a887e183a8d94c42e7ff6f6

Observation 85ea5460-b39e-4edc-8602-5a512e9aa6b5 · outbound

This paper cites Stevenson et al.Can Large Language Models generalize analogy solving like people can?2025.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Stevenson et al.Can Large Language Models generalize analogy solving like people can?2025

Reference 6

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:52.013845Z digest=sha256:218b9f600ba5b1943a557809e80b30b1ed767fa1b319c58f2c13d684cbac9d89

Observation 18940c44-ca5d-4dca-91ef-6cf3f85dcb64 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:52.079329Z digest=sha256:f30cc0f817ef8ab57eb1aacbd793bda7b855db34a61a2beb549d86b752def977

Observation 574be92b-2a6a-42ad-a03b-312187a4bc79 · outbound

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

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 8

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:52.133447Z digest=sha256:0e5c65f1097768227ee12289097fb3d56ab7bb7d1b391ebce8dd332d83902a6c

Observation 742bdc91-1155-4281-bb9d-e670a6dbc3f8 · outbound

This paper cites an unresolved cited work.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:39:52.189539Z digest=sha256:0cbe8674ee42f3ea3e18a3c736e789a46a15cdae2cc06d9022739b7fec32fb2c

Observation f5bb5d43-79dd-468a-aea7-31dce3e3da79 · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 10

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-07T00:39:52.320123Z digest=sha256:17563f1e127873027545ebdd2be01e7644181a1e00a6424f3d58d9ee78d20d04

Observation e8bc3d87-7744-4edd-9b9b-c1ec23b65c04 · outbound

This paper cites Least-to-Most Prompting Enables Complex Reasoning in Large Language Models.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

Reference 11

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source=pdf_text observed=2026-08-07T00:39:52.402697Z digest=sha256:932e9941a8148545a9d7c2b945340847e26bd7e2ac85fabbd0c4e6719beff03a

Observation c51dee8d-ce5b-40ca-8732-ff4eacda39f8 · outbound

This paper cites Large Language Models are Zero-Shot Reasoners.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Large Language Models are Zero-Shot Reasoners

Reference 12

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source=pdf_text observed=2026-08-07T00:39:52.451206Z digest=sha256:636c34dfd7725f19958bacdcf329c5ac6b63e33eed734f1fc9ad46d49fd7c615

Observation 12d267e3-c376-4965-97fc-58bfcb63a63d · outbound

This paper cites an unresolved cited work.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Unresolved cited work

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:39:52.507301Z digest=sha256:a0020f492cebd59639618f7f1a57bd014b1b12e8878114a35e32e0f39f3ee2e0

Observation e541fac0-dd6d-4160-996c-78d7825e2d88 · outbound

This paper cites Multimodal Chain-of-Thought Reasoning in Language Models.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Multimodal Chain-of-Thought Reasoning in Language Models

Reference 14

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source=pdf_text observed=2026-08-07T00:39:52.632806Z digest=sha256:efd135f0c2d5798294ef754bb0484feb9f9a590426399c7594ddea7647adfa72

Observation c28ee736-26ea-4f02-9e5f-60c9d02a058f · outbound

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

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Tree of Thoughts: Deliberate Problem Solving with Large Language Models

Reference 15

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:52.573794Z digest=sha256:b9f4c5535a25ae4534a43767267e0dee70e4ca7db42e92e2ac30de8ed5fb034f

Observation 833ea550-cf27-4dae-885e-e5bcf79e999f · outbound

This paper cites Mixtral of Experts.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Mixtral of Experts

Reference 16

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:52.764982Z digest=sha256:9877076004d1435da77214e3760322def2c2e68b43afa49346d5fa16e64a6b08

Observation f32abfbe-9135-4841-8578-901ad009c302 · outbound

This paper cites Mixture-of-Experts with Expert Choice Routing.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Mixture-of-Experts with Expert Choice Routing

Reference 17

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:52.698430Z digest=sha256:f97e776a67e3b0f6612fa8aa88b119e1c547303e53778c289152abe8c463363e

Observation c9f5814f-f662-4bc7-be05-aba0dba15e9a · outbound

This paper cites an unresolved cited work.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Unresolved cited work

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:39:52.856964Z digest=sha256:8de9d2983be425780b44312e73a79f9dca7c046d229ba01b1921674d0690e9f9

Observation 25ff9fc7-38a9-4e69-b04d-81c7c2b1677d · outbound

This paper cites Simple and Effective Dimensionality Reduction for Word Embeddings.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Simple and Effective Dimensionality Reduction for Word Embeddings

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:39:57.320767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:39:52.812177Z digest=sha256:59b07a91ac48fd405ba17d778c12d15fb1fdc86a03d20af755d1449e950d4ee0

Observation be4f5d0e-4705-4939-aa9c-775954140983 · outbound

This paper cites an unresolved cited work.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:39:53.102187Z digest=sha256:d687d75b6d5b8d3065ae9ab2e022aca83992d0bbdbe2c5d7f300fc66c22ef7ae

Observation e69fe891-4e40-4e17-9650-7a6087b52959 · outbound

This paper cites Predictability and Surprise in Large Generative Models.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Predictability and Surprise in Large Generative Models

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:53.248370Z digest=sha256:a1a88dba7aa9177d58d14848c643859909da6ada601693cea605859e180292dd

Observation 68c96c34-8862-48c3-a03e-789d154092fe · outbound

This paper cites Word Re-Embedding via Manifold Dimensionality Retention.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Word Re-Embedding via Manifold Dimensionality Retention

Reference 22

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no resolver link, observed 2026-08-07T00:39:53.033759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:53.033759Z digest=sha256:28a74ad23a84c8d9104692c1a880d0a2fce4859f0d64bc63b6f27c99ff16375b

Observation 01e1a910-e20e-4251-af88-44814f68665c · outbound

This paper cites Language Models are Few-Shot Learners.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Language Models are Few-Shot Learners

Reference 23

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source=pdf_text observed=2026-08-07T00:39:53.387790Z digest=sha256:8fdd59e9afd104b620e9a98a5cb42193851761d5cec16a43aa55c478349dc59d

Observation b118c1d4-9b00-4083-b3fe-a6cf7724ff47 · outbound

This paper cites Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Grokking: Generalization Beyond Overfitting on Small Algorithmic Datasets

Reference 24

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source=pdf_text observed=2026-08-07T00:39:53.473150Z digest=sha256:d63e5572c219402d79d7db2e537706ef11790a5c55ccf2a6f53388702d575106

Observation a94919e0-f965-48f6-adf3-8035746a2903 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs On the Opportunities and Risks of Foundation Models

Reference 25

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source=pdf_text observed=2026-08-07T00:39:53.539833Z digest=sha256:0bc4984979f314e33b708e1e4f5f1df3d5253e7e17c7d22820b30444ade46187

Observation 90b4e091-6b30-4562-8a3b-583bcdd2938d · outbound

This paper cites Emergent Abilities of Large Language Models.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Emergent Abilities of Large Language Models

Reference 26

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:53.307243Z digest=sha256:d732d2ec9bdcd078acccdfabacaff6b4fb63d5f71ec3c5ee33476b96ddaa015d

Observation 90392da1-19dd-4887-bcb7-383abf618344 · outbound

This paper cites Constitutional AI: Harmlessness from AI Feedback.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Constitutional AI: Harmlessness from AI Feedback

Reference 27

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:53.727716Z digest=sha256:1320d31f48545f2e796fc7ae799f8055fde7870c24eb8834ba7d247ba60ffcae

Observation 05755914-b7ee-4413-b6a4-cdf36ebf0fcf · outbound

This paper cites Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Learning Hierarchy-Aware Knowledge Graph Embeddings for Link Prediction

Reference 28

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verified exact
doi, observed 2026-08-07T00:39:55.944644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:39:53.843392Z digest=sha256:4d263d1c7480bee9a1be48f538f351ab0f697c2918290df3daffc78877757807

Observation 53ddd9bf-27ac-4d1c-ac77-1ff1cdcb9dd2 · outbound

This paper cites Multi-level Attention-enhanced Learning for Fine-Grained Visual Classifi- cation.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Multi-level Attention-enhanced Learning for Fine-Grained Visual Classifi- cation

Reference 29

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:53.974120Z digest=sha256:9c242fb380708f589b5b54072fc55c1c6b43860ffa37712cbdacc6f7b35cc42d

Observation 76c343b6-bd92-46ec-97e9-f51a0c477826 · outbound

This paper cites Triple Phase Transitions: Understanding the Learning Dynamics of Large Language Models from a Neuroscience Perspective.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Triple Phase Transitions: Understanding the Learning Dynamics of Large Language Models from a Neuroscience Perspective

Reference 30

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:39:56.645957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:39:53.599629Z digest=sha256:b2f1e03ed3c32f07f11b205479fadae1b04b87be836861d494b0e9aecd0ac311

Observation 6f8e90cd-4b80-463e-bf46-cb21a68ee1df · outbound

This paper cites Scaling Vision with Sparse Mixture of Experts.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Scaling Vision with Sparse Mixture of Experts

Reference 31

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source=pdf_text observed=2026-08-07T00:39:54.239188Z digest=sha256:a6718c0dd7e04629d19d76ac4f08847b4027f520368803801714615b98b7f0db

Observation 6067eade-cc87-4b17-9dd7-cdbed2f449e5 · outbound

This paper cites Mixture of Attention Heads: Selecting Attention Heads Per Token.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Mixture of Attention Heads: Selecting Attention Heads Per Token

Reference 32

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:54.315679Z digest=sha256:ba16acacda61af07441fbffea0db09060fce48bb0f0890fac9679572630a3c76

Observation 9dd0ca83-9589-44c2-8264-a80234fec754 · outbound

This paper cites DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of- Experts Language Models.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of- Experts Language Models

Reference 33

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no resolver link, observed 2026-08-07T00:39:54.415857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:54.415857Z digest=sha256:099ebaaf915b6a442131e10da16a2e35176f7bcdc547fe51adcce49941ba4a23

Observation 5bf17579-2a24-43f3-b41c-40dd6773fc44 · outbound

This paper cites Building the Directed Semantic Graph for Coherent Long Text Generation.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Building the Directed Semantic Graph for Coherent Long Text Generation

Reference 34

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:54.155880Z digest=sha256:e547c5603a64275b898fe3ff4b9af83d6d595853376c3f123e8e3c6de0baa3c8

Observation 89441e10-dac3-4ffa-aca4-8476d152c1e5 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs LoRA: Low-Rank Adaptation of Large Language Models

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:54.626462Z digest=sha256:11af786914cc0e8d78ae7a8e2737ee58fbab096c8e9141233a9b039fff1b46c2

Observation 52116c42-3b5d-49ca-a51c-adb8d4835ebb · outbound

This paper cites ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-07T00:39:58.008360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:39:54.724821Z digest=sha256:7908a7cd18d03d787631d0ab487026c68fc4279b2f0fd0ca8408188183ba9c16

Observation a0eb40c5-f54e-40a3-a4ce-24b48d88d85d · outbound

This paper cites Hierarchical Neural Story Generation.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Hierarchical Neural Story Generation

Reference 37

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no resolver link, observed 2026-08-07T00:39:54.837971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ccb2b2e9-b814-4e8e-9727-5b7b20cc3075 · outbound

This paper cites MoE-Enhanced Explainable Deep Manifold Transformation for Complex Data Embedding and Visualization.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs MoE-Enhanced Explainable Deep Manifold Transformation for Complex Data Embedding and Visualization

Reference 38

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verified exact
local_arxiv, observed 2026-08-07T00:39:56.259713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 704e996a-3ee1-464f-8136-817693527a7c · outbound

This paper cites May 2023.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs May 2023

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:39:57.762237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:39:55.004285Z digest=sha256:9cbb546acfa27983a7c9c659c402b11359d6dabb2bb21d4b509c1396044abd79

Observation 49d27054-bb93-49f7-ac29-1e246ba33f5d · outbound

This paper cites Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Encouraging Divergent Thinking in Large Language Models through Multi-Agent Debate

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:55.061151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:55.061151Z digest=sha256:44702dfe41e9345090e6dccef7b007b6a0161cbb483d402169e891a4050d3707

Observation 79e83008-33a3-48c0-b4a1-4f06bc6c271d · outbound

This paper cites Texygen: A Benchmarking Platform for Text Generation Models.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Texygen: A Benchmarking Platform for Text Generation Models

Reference 41

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unresolved
no resolver link, observed 2026-08-07T00:39:55.139843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:55.139843Z digest=sha256:3f0767e4e51f6d53c28a012137e2e01be222211a7d8115532705de1b850b7a31

Observation 01033e24-aee6-44eb-a723-206da6adbbf6 · outbound

This paper cites CommonsenseQA: A Question Answering Challenge Targeting Common- sense Knowledge.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs CommonsenseQA: A Question Answering Challenge Targeting Common- sense Knowledge

Reference 42

Resolution
malformed identifier
doi_truncated, observed 2026-08-07T00:39:55.757907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:39:54.932279Z digest=sha256:82ddc0f15fee918b9aa3b0f36340fd5c26b79cf7ae3693039b2639305c134af4

Observation 1568d067-9a45-4ff7-a070-36f3b9582933 · outbound

This paper cites Training language models to follow instructions with human feedback.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Training language models to follow instructions with human feedback

Reference 43

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unresolved
no resolver link, observed 2026-08-07T00:39:55.350192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:55.350192Z digest=sha256:d68e52e5ca17c4f13c1b0cc6bc992c114d9181af7ce86816036377dbf6192807

Observation b861749a-b082-4512-a259-5db9671c3d76 · outbound

This paper cites Qwen3 Technical Report.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Qwen3 Technical Report

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:55.481867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:55.481867Z digest=sha256:d9519e5af35e87ae4a44b1e7230c982f9dd6a3532e72ba9f0d2085c74ff4e2b4

Observation 1776a65c-a176-4ce0-b0e1-eede30cbbeef · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:55.601322Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:55.601322Z digest=sha256:75394d1df23e2ef4ff8767b506a85b247cdb30a092110b3d98dfd321dea1d204

Observation d907ab36-fe11-4938-8905-7c0ba0c51969 · outbound

This paper cites BERTScore: Evaluating Text Generation with BERT.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs BERTScore: Evaluating Text Generation with BERT

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:55.280044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:55.280044Z digest=sha256:868173290e4946101c48904ba13181cf0a9c73fe30ebfe0a53c78f22990f531b

Observation 3c574181-7b46-4bb2-81a3-a8d3ac5f2037 · outbound

This paper cites Concept-Based Embeddings for Natural Language Processing.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Concept-Based Embeddings for Natural Language Processing

Reference 2018

Resolution
verified exact
local_arxiv, observed 2026-08-07T00:39:57.008980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-07T00:39:52.962881Z digest=sha256:af5028bc0ff0f539d2563c5be894a24993cf2e5653fe4a9a4cc7539fad7d2fcf

Observation d5e516be-87c7-488e-a076-a128281671c9 · outbound

This paper cites Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:52.256906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:52.256906Z digest=sha256:78417def9b5b7c45be698d24843c91a8179a9191024f290e2d9f96f79d385a70

Observation 9b945ffc-8a1b-48d8-b007-d7ba6b15db10 · outbound

This paper cites Learning to Compress Prompts with Gist Tokens.

Breaking Thought Patterns: A Multi-Dimensional Reasoning Framework for LLMs Learning to Compress Prompts with Gist Tokens

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T00:39:53.185927Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:39:53.185927Z digest=sha256:14daa6a7cc8d1f4577137c6d2c77fe27288c73c23c4435681f6fcc56092925d8

Pith citing papers

No inbound Pith citation observations are available.