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Paper Citation Record · LEDGER

A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 43 inbound Pith citation observations for arXiv:2303.10420.

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

pith.paper-citation-record.v1
2303.10420 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 43 of 43 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:24:49.028730Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

187
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 9e25b26d-000e-4196-9579-492f877d2fd0 · inbound

Decoding News Narratives: A Critical Analysis of Large Language Models in Framing Detection cites this paper.

Decoding News Narratives: A Critical Analysis of Large Language Models in Framing Detection A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 34

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arxiv_id, observed 2026-05-24T04:18:52.852360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-24T04:18:27.592425Z digest=sha256:c8a34a0ab800f3244f7e2513b23d1fe9def50555939bd952c4b4b5efd6e684e3

Observation 4c7fe2c3-76bf-4b17-bc02-f481c8ff2d12 · inbound

AIDBench: A benchmark for evaluating the authorship identification capability of large language models cites this paper.

AIDBench: A benchmark for evaluating the authorship identification capability of large language models A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 28

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source=pdf_text observed=2026-08-12T16:44:36.754868Z digest=sha256:68ba2b2defcf177ea8f5ec57b7a471d82ab0a6c5e44203bd3ed762f7aef8486c

Observation 920b3746-8500-43f5-ac6f-9cc397f5c17b · inbound

To Ensemble or Not: Assessing Majority Voting Strategies for Phishing Detection with Large Language Models cites this paper.

To Ensemble or Not: Assessing Majority Voting Strategies for Phishing Detection with Large Language Models A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 33

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source=pdf_text observed=2026-08-12T05:54:33.835634Z digest=sha256:33a4084ad3c5e206c05eb0d9e28ac3be600ab27c6e7a9d1f53ea7b8099f15157

Observation b8bee9ea-3cf9-42ab-9102-46a2e2dd46ae · inbound

IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model cites this paper.

IntellectSeeker: A Personalized Literature Management System with the Probabilistic Model and Large Language Model A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 28

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no resolver link, observed 2026-08-11T18:58:50.218787Z

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source=pdf_text observed=2026-08-11T18:58:50.218787Z digest=sha256:e625bedb3e1d0ee8311e4d9bc8135d08cf2fa51200c8dfe9f2b7f5b24b19cee9

Observation ac3fbdce-6bc9-4a5b-a253-6bcbf5adbec9 · inbound

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field cites this paper.

Large Language Models for Scholarly Ontology Generation: An Extensive Analysis in the Engineering Field A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 71

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source=pdf_text observed=2026-08-11T18:05:58.808125Z digest=sha256:24f56ec6c63cf7f9f5dbac336497987b9284509f1392e20f226965554af4d237

Observation 1e78b4ce-1374-42d7-99a2-78fb9dc1ead9 · inbound

Kajal: Extracting Grammar of a Source Code Using Large Language Models cites this paper.

Kajal: Extracting Grammar of a Source Code Using Large Language Models A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 19

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source=pdf_text observed=2026-08-11T17:34:35.395444Z digest=sha256:663b3aaaf847fe8628c8ffaf8887429e6d58624fa1609f45d70f81be13a3c958

Observation 57690675-afcc-4630-a36a-1ab6b5d68223 · inbound

TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use cites this paper.

TL-Training: A Task-Feature-Based Framework for Training Large Language Models in Tool Use A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 31

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source=arxiv_source observed=2026-08-11T11:26:49.085472Z digest=sha256:05f97321ac10894196ce673ab19e7cb1d6e6117ab79392128e7d2921e3abde03

Observation fc3db824-83b3-4a4f-a595-e769fa49dd74 · inbound

SensorQA: A Question Answering Benchmark for Daily-Life Monitoring cites this paper.

SensorQA: A Question Answering Benchmark for Daily-Life Monitoring A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 61

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source=pdf_text observed=2026-08-10T21:24:02.007219Z digest=sha256:0eeaf2176a92363e9a05931e57f587e0d14ce594a2ef7c621b369d7e75aa481d

Observation ff48f228-4bdb-4ed0-8048-fbf38bfb4ffe · inbound

Automatically Detecting Heterogeneous Bugs in High-Performance Computing Scientific Software cites this paper.

Automatically Detecting Heterogeneous Bugs in High-Performance Computing Scientific Software A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 3

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source=pdf_text observed=2026-08-10T19:39:47.694477Z digest=sha256:afde8f6b4fbed601c31705d16a6adba8d3558973678c9ab2e3018066c60717f3

Observation 8308824a-6f8c-404f-a3d3-d3f10e695b8d · inbound

Watching the AI Watchdogs: A Fairness and Robustness Analysis of AI Safety Moderation Classifiers cites this paper.

Watching the AI Watchdogs: A Fairness and Robustness Analysis of AI Safety Moderation Classifiers A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 42

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source=arxiv_source observed=2026-08-10T16:19:48.067303Z digest=sha256:d3855278037837ab9f6a115c7cc79e0ae0cccd4b2b8a356795f9f6dedfa063f8

Observation 9e51e6b7-0c6b-422a-98c7-bff49a141131 · inbound

Adapting Biomedical Abstracts into Plain language using Large Language Models cites this paper.

Adapting Biomedical Abstracts into Plain language using Large Language Models A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 31

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source=pdf_text observed=2026-08-10T14:05:55.185843Z digest=sha256:5671c6ee74293f98040d2f9b20f726b3eb3ece2d982f724d5ddc291fd8baac86

Observation 7c158704-4b3f-4667-ae1b-20892bace728 · inbound

SensorChat: Answering Qualitative and Quantitative Questions during Long-Term Multimodal Sensor Interactions cites this paper.

SensorChat: Answering Qualitative and Quantitative Questions during Long-Term Multimodal Sensor Interactions A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 63

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source=pdf_text observed=2026-08-09T10:50:59.517638Z digest=sha256:377103de746d7e2924bcf7654b76c1d39b8188406bf51c65303c1098c2aa169d

Observation b4e39685-44a5-4cee-b0e6-73195facbfba · inbound

Level-Navi Agent: A Framework and benchmark for Chinese Web Search Agents cites this paper.

Level-Navi Agent: A Framework and benchmark for Chinese Web Search Agents A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 18

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source=pdf_text observed=2026-08-11T11:17:48.485783Z digest=sha256:93ff7b7fc1c7ed418692edc9e2037e42dea87c1f3ee932fb1a6d6d468792ea75

Observation 432c5c98-2313-4bf4-afbf-13592cc87036 · inbound

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative Study cites this paper.

Enhancing LLMs for Identifying and Prioritizing Important Medical Jargons from Electronic Health Record Notes Utilizing Data Augmentation: A Comparative Study A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 84

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arxiv_id, observed 2026-05-23T01:57:22.837047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-23T01:56:41.152753Z digest=sha256:c52d5b8d8c96c745ebf248c5d41a80c0708fdac8567a3b98872b024678e60f5d

Observation 9e60ea46-9a2e-429a-ac06-719acec5621f · inbound

Is Your LLM-Based Multi-Agent a Reliable Real-World Planner? Exploring Fraud Detection in Travel Planning cites this paper.

Is Your LLM-Based Multi-Agent a Reliable Real-World Planner? Exploring Fraud Detection in Travel Planning A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 2023

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no resolver link, observed 2026-08-07T15:01:58.148210Z

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source=pdf_text observed=2026-08-07T15:01:58.148210Z digest=sha256:7908b7330b07dc45fa170fdeb56a4041b367c862cd5e09170921e09a5d0c7bd0

Observation d4530a51-d4bf-4b9a-83d9-c2641f95cfed · inbound

Towards medical AI misalignment: a preliminary study cites this paper.

Towards medical AI misalignment: a preliminary study A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 27

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source=pdf_text observed=2026-08-07T14:52:16.793630Z digest=sha256:cf310c3a462f80308af9589c2e339a61287e9dd1f54b8a5ca5fbc848723f3783

Observation ef88843f-6e8e-4359-b273-9188d8f22f0c · inbound

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions cites this paper.

Large Language Models in the Task of Automatic Validation of Text Classifier Predictions A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 11

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source=pdf_text observed=2026-08-07T14:30:59.841100Z digest=sha256:7f2441e17de460fa3ec245b0a356c245fa82d79364c8d77f07027a85460bfd13

Observation caca98fc-ac6d-45ca-a9e9-ec8456b699b7 · inbound

Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking cites this paper.

Scalable Parameter and Memory Efficient Pretraining for LLM: Recent Algorithmic Advances and Benchmarking A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 52

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source=arxiv_source observed=2026-08-07T13:06:27.185719Z digest=sha256:f976ac0b45b6d9fbab52670d0ddfcc0c15254a3448b85d71b636f358c6b18be1

Observation 6ca37a1d-626e-4008-ac7f-f6d7b60c1f1e · inbound

A Practical Guide for Supporting Formative Assessment and Feedback Using Generative AI cites this paper.

A Practical Guide for Supporting Formative Assessment and Feedback Using Generative AI A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 149

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source=pdf_text observed=2026-08-07T12:48:46.216209Z digest=sha256:42718acb319e370af741eb8b18b0971c9f778ecd1f51a42ac59fdf41c45062de

Observation 44c0bfd4-9a9e-471a-8571-aef9640d4450 · inbound

ICH-Qwen: A Large Language Model Towards Chinese Intangible Cultural Heritage cites this paper.

ICH-Qwen: A Large Language Model Towards Chinese Intangible Cultural Heritage A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 7

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source=pdf_text observed=2026-08-07T13:18:13.371844Z digest=sha256:757fde7b6a2b0d7dbf97b54029ddba6100de3c80b00b79c16a1af5f86ef05ffe

Observation c627088d-8ec4-4adc-8ba4-e82bf56e94c2 · inbound

A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants cites this paper.

A Benchmark Dataset for Graph Regression with Homogeneous and Multi-Relational Variants A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 95

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arxiv_id, observed 2026-05-19T13:12:18.299014Z

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No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-19T13:10:12.353451Z digest=sha256:ee17ed2300fa2025c519e058792d521e20ab8d6d66fa64344dbee7cbf85eb24c

Observation 496037d6-ecf6-4706-82eb-e34a419f04ca · inbound

CODEMENV: Benchmarking Large Language Models on Code Migration cites this paper.

CODEMENV: Benchmarking Large Language Models on Code Migration A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 35

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source=arxiv_source observed=2026-08-07T11:59:06.154623Z digest=sha256:802d7bb037d357b99302392129ad388ace2b32f71b1466c8f43ec144ef06ffef

Observation a6a83768-e313-4811-b528-3092c97c63c2 · inbound

Un-considering Contextual Information: Assessing LLMs' Understanding of Indexical Elements cites this paper.

Un-considering Contextual Information: Assessing LLMs' Understanding of Indexical Elements A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 23

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source=arxiv_source observed=2026-08-07T11:58:30.246608Z digest=sha256:1e714650f082a0e039ed42789cc3541b5a4953656ea01a9cbb93dcf2b14a8c7a

Observation f3f8fa41-d970-4077-9468-5c49a4ec452c · inbound

StepProof: Step-by-step verification of natural language mathematical proofs cites this paper.

StepProof: Step-by-step verification of natural language mathematical proofs A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 18

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source=pdf_text observed=2026-08-07T04:29:41.010720Z digest=sha256:aced36f1aa6f2a7657a7e9ba09106b9cd25aecc7f8b8080ab97c603a449e8b7c

Observation b4c91063-c5b9-49b4-9ce7-567df8e6ce90 · inbound

MATE: LLM-Powered Multi-Agent Translation Environment for Accessibility Applications cites this paper.

MATE: LLM-Powered Multi-Agent Translation Environment for Accessibility Applications A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 50

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source=pdf_text observed=2026-08-06T23:10:15.748588Z digest=sha256:d38245f56bb64c1be1499f3ebb6aef4f7517d98a4b8c5117aae67251c97ef44a

Observation 3704ba2b-470f-43e9-9698-6d07446414fc · inbound

A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs cites this paper.

A Modular Multitask Reasoning Framework Integrating Spatio-temporal Models and LLMs A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 49

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source=pdf_text observed=2026-08-06T23:01:34.759049Z digest=sha256:61aee2eb98b2b522ed86324a63a3b2023803e69b502df041e121772d5bdbc5fc

Observation da049385-9835-4fe2-912c-c123f14a058e · inbound

Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges cites this paper.

Fine-Tuning and Prompt Engineering of LLMs, for the Creation of Multi-Agent AI for Addressing Sustainable Protein Production Challenges A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 43

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source=pdf_text observed=2026-08-06T22:49:23.694775Z digest=sha256:a4e01b38b2f1a572ed5b7a9f6f037918ee437fcdc30a7053d41569f8d0a7f29f

Observation d8020123-79f6-4ca4-b4a8-ab5c89d2ee92 · inbound

MemOS: A Memory OS for AI System cites this paper.

MemOS: A Memory OS for AI System A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 91

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arxiv_id, observed 2026-05-15T08:20:22.893334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-15T08:20:22.658329Z digest=sha256:243bb63829e532e9899d2627ef2e02126980bcd10f4896a320fafd4a2cdd8d24

Observation 14e0efcb-2704-461d-a2d8-d4908910908a · inbound

RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation cites this paper.

RecRankerEval: A Flexible and Extensible Framework for Top-k LLM-based Recommendation A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 29

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source=pdf_text observed=2026-08-06T19:21:39.342420Z digest=sha256:4fec3028efc4014082c08fa697db6a7c16723bf0b7f55fa2f76d2c1b97217b7d

Observation 9ba43458-b589-44b7-83a0-1467208d30f4 · inbound

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews cites this paper.

CMER: A Context-Aware Approach for Mining Ethical Concern-related App Reviews A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 26

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source=pdf_text observed=2026-08-06T18:15:47.769065Z digest=sha256:65643f8caaa4dd4dbe219137946e1e12efead0d45e1a7836476b97a9d590d36f

Observation 2ecca722-7cde-4bf2-89ad-a1e9618d6ceb · inbound

SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps cites this paper.

SAGE: A Context-Aware Approach for Mining Privacy Requirements Relevant Reviews from Mental Health Apps A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 40

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source=pdf_text observed=2026-08-06T18:12:57.561848Z digest=sha256:29a051b1cb79af85d399499b4d6d939a49bf928ab5e68a4ed34e9e0dea06152e

Observation 98cf3d5e-f90e-44a1-8c41-b62bd2000796 · inbound

Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models cites this paper.

Accelerating Automatic Program Repair with Dual Retrieval-Augmented Fine-Tuning and Patch Generation on Large Language Models A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 67

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source=arxiv_source observed=2026-08-06T17:44:51.490671Z digest=sha256:e70f534775bc7b657d664f4dd7403d4e9c4b0d0594124a86a85b56b8fa1d744e

Observation fdab2901-0d35-46f7-8118-1eac469f179e · inbound

Understood: Real-Time Communication Support for Adults with ADHD Using Mixed Reality cites this paper.

Understood: Real-Time Communication Support for Adults with ADHD Using Mixed Reality A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 97

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source=pdf_text observed=2026-08-06T14:43:39.634765Z digest=sha256:17f7bddfb6fdb899268e1a7b00edced5fd1e8df23b79228d1ce1af935a894837

Observation 710c9cf2-5731-43cd-8d76-fb71c58b3352 · inbound

LLM as an Execution Estimator: Recovering Missing Dependency for Practical Time-travelling Debugging cites this paper.

LLM as an Execution Estimator: Recovering Missing Dependency for Practical Time-travelling Debugging A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 55

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source=pdf_text observed=2026-08-05T16:20:46.988868Z digest=sha256:f8eab10d5ad8e03aba5825da5b753876ad237b03bcb21522b68e39dd5224f121

Observation 91b9f494-1d46-437f-b388-8a875fa8f862 · inbound

Stack Overflow Is Not Dead Yet: Crowd Answers Still Matter cites this paper.

Stack Overflow Is Not Dead Yet: Crowd Answers Still Matter A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-15T16:24:49.028730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T16:24:49.028730Z digest=sha256:351f404353561c4d49c15dcbf3c21a036485ca4822ac65c8a15144767b6a2bf3

Observation c6bd2356-98c1-4a47-8de9-e556dfd43927 · inbound

Another Turn, Better Output? A Turn-Wise Analysis of Iterative LLM Prompting cites this paper.

Another Turn, Better Output? A Turn-Wise Analysis of Iterative LLM Prompting A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T23:12:10.147935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:12:10.147935Z digest=sha256:53d15b04ba04cf0bec2d375245fb43a4d3ac04f87f2aa46bac70cb7fac4e98d2

Observation b542960c-db3f-4d95-9bef-924f8a95b079 · inbound

TigerCoder: A Novel Suite of LLMs for Code Generation in Bangla cites this paper.

TigerCoder: A Novel Suite of LLMs for Code Generation in Bangla A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T19:45:17.616902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T19:45:17.616902Z digest=sha256:5eb1f2635d8e2bef3ce87d70138c0eef3f0d3d38f149288beebc693e53368bc6

Observation b0b4c4dc-ded4-4c35-87d6-f0e9539a9c7d · inbound

Adaptive Obstacle-Aware Task Assignment and Planning for Heterogeneous Robot Teaming cites this paper.

Adaptive Obstacle-Aware Task Assignment and Planning for Heterogeneous Robot Teaming A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:41:00.569925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T06:38:24.695002Z digest=sha256:0c35f45dca8c2ce7ba0f31c9654ac4ed627afe81185691f702cbc70541e433aa

Observation 49d03414-a347-40b6-83f0-c5eaf1d835db · inbound

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study cites this paper.

Evaluating Large Language Models for Diacritic Restoration in Romanian Texts: A Comparative Study A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-03T21:55:38.442787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:55:38.442787Z digest=sha256:46a8611ecfe4f3d00ff7eef8084d7c5c0e3e176a92685dd2f4dc17bb0d27619d

Observation b02587ce-9d20-4178-8674-bb31c394804a · inbound

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models cites this paper.

Efficient Code Analysis via Graph Representation Learning-Guided Large Language Models A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-03T09:44:54.246417Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T09:44:54.246417Z digest=sha256:b86a52bda53c412e685cf2c64beeb8e92b0c5db94f3becabfd49aef1fb8d9196

Observation 28ddbd6f-7acb-439a-be7d-3b15919e1c32 · inbound

CAARL: In-Context Learning for Interpretable Co-Evolving Time Series Forecasting cites this paper.

CAARL: In-Context Learning for Interpretable Co-Evolving Time Series Forecasting A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-10T12:00:22.434944Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-10T04:42:05.534734Z digest=sha256:0bd60cfe2f158d73162f59e9102d193f9e19ee75498f2a9fb69eddec95936ef6

Observation 5d8aca5b-f768-4999-b3e7-3600ed750065 · inbound

Dive into Ambiguity: A*-Inspired Multi-Agents Commonsense Obfuscation Attack on LLM Prompts cites this paper.

Dive into Ambiguity: A*-Inspired Multi-Agents Commonsense Obfuscation Attack on LLM Prompts A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T21:26:16.410648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T16:54:12.354178Z digest=sha256:2a22089a725881d7aa50ca6e3f26acec75f2a08d030bae314ab220ca33605593

Observation 7f8e6c74-0cc2-4177-8056-f7d61c3f23fd · inbound

SPIEval: Evaluating Large Language Models as Mobile Assistants over Scattered Personal Information cites this paper.

SPIEval: Evaluating Large Language Models as Mobile Assistants over Scattered Personal Information A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 163

Resolution
unresolved
no resolver link, observed 2026-08-12T19:21:59.703747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T19:21:59.703747Z digest=sha256:e51176734761d48b2dc5affee98ff58b383a9482dfd9d690aa3eee6560b8f7c8