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Paper Citation Record · LEDGER

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

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 48 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

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Source: paper_references, paper_reference_links

measured 48 of 48 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 48 of 48 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:21:13.882749Z

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-24T04:18:27.592425Z digest=sha256:a37926bbfc5533fc76d109c0a6725a8ea1865947edea701a9eb11bcbfd78269e

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=sha256:425c12524097a391241cae617005024923e819f101830d8d72a96aadd468c7d8

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=sha256:847bd65c80fcc5b42aea929122f9bd00ba99bc9328812251fc7f9b625973760f

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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source=pdf_text observed=2026-08-11T18:58:50.218787Z digest=sha256:b4f81634cbf86c79ac4099aed3527b822ab0e83a856f2ad7ba959b526f47dd11

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=sha256:27cfa8ad361035725ca74a18ab2c966a1ae7ad5500ee4fb09f3a0c9b9c7c3d32

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=sha256:2f67018bf10bbda1258bb77e998ca09bd3083d9bb363d5ee5e8bf1243f167b2b

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:ce567caa2b1e1b5c157bf044b52f17ddeb2c91cf6079fe396b7807b6bcfb3da8

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=sha256:585e752ce9f968d1837453f48c74de6fcdad2700d0f46866b68f173558eecb83

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:fbef6942a4eb53031308270cfd7ee09a181aa29ccc72ed4eafae9ee9810f9018

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=sha256:64c2f32fda507f9e8e8e12195328cca2391f3b9af9c05179210183e133e8a4c1

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=sha256:149caa172b26a02b28c2c2bf1d07431f0e9f18ba7fa38db80732aed419eb3c25

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=sha256:900a6f72b00cd9812e96207cd36c376f8498fb059d0344721ed6aac1d44eeb20

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=sha256:961476abc841aca8825979bad385cc3206afbb9b30bfd2ce6ccc81959cd8f53a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-23T01:56:41.152753Z digest=sha256:574d2f0f01f7d765ac0da5fd92cfdb46a7308375070a0604cfdeea7a0c827d64

Observation e3c5d2d6-3b27-46a8-8b05-2850d781e743 · inbound

ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks cites this paper.

ICE-Pruning: An Iterative Cost-Efficient Pruning Pipeline for Deep Neural Networks A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 42

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source=pdf_text observed=2026-08-15T22:22:58.262373Z digest=sha256:44b8f4f1a4f5189775a8eebbfb3535046e1d614dbaf6d29289371ac88c96e92a

Observation 39d0ba05-1b6b-43c9-b6f5-8948c2c50172 · inbound

Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines cites this paper.

Enhanced Urdu Intent Detection with Large Language Models and Prototype-Informed Predictive Pipelines A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 75

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source=pdf_text observed=2026-08-15T23:21:13.882749Z digest=sha256:d4e158822e8408d8a371f83999efff3e4284906457470fe4f6bf4c7b7f50ccc4

Observation 7b91c598-544a-4115-a580-5217ae02fb7a · inbound

Evaluating the Effectiveness of Black-Box Prompt Optimization as the Scale of LLMs Continues to Grow cites this paper.

Evaluating the Effectiveness of Black-Box Prompt Optimization as the Scale of LLMs Continues to Grow A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 17

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source=pdf_text observed=2026-08-15T22:00:35.760770Z digest=sha256:c2c0df1d504b0a4bdbb4d046b6ecead641bec03e69c19745eaa878f0940d0147

Observation 5e8219eb-2791-4cfb-9ab3-bedbb8445bb3 · inbound

SVA-ICL: Improving LLM-based Software Vulnerability Assessment via In-Context Learning and Information Fusion cites this paper.

SVA-ICL: Improving LLM-based Software Vulnerability Assessment via In-Context Learning and Information Fusion A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 52

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source=pdf_text observed=2026-08-15T21:23:24.289263Z digest=sha256:95c7deb69f851a53b875bcb05d4a4a3334ac867e96afc9895a2af2703a4ed0f2

Observation 38e18a56-f6d1-4979-8ba7-f17363f08831 · inbound

Incorporating Verification Standards for Security Requirements Generation from Functional Specifications cites this paper.

Incorporating Verification Standards for Security Requirements Generation from Functional Specifications A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models

Reference 53

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source=pdf_text observed=2026-08-15T20:54:09.278742Z digest=sha256:e06f00880431b0ae50cf7f8e7c9dec92c5861d35df9724b91d7542576ce184c8

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:cd5f7143676774c8cf12acd6b4fc32604c6bec5a3019bad9674c02d2f6697d5f

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=sha256:7b073911e750c4f985016676adf7e78aedc9be2792e246255a0875a415e894ad

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=sha256:2ea9fc5d4414e3490e8085c1fbce5b220e51bd5876c5021c001253f0798f487f

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=sha256:3cd3204e1eb9d12d627ca206bc39ea35b2cce86eb5a5a71ae7242a88e628c59d

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=sha256:00c00b9a87459a72dd7e1f706e77eb7919e3353eabf6ea35cb482aa5b380a555

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:d61a4bcc35a4931b34fb1638a24db8ddc1a2649a4e99a90fe2cc2a34fb0c7805

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-19T13:10:12.353451Z digest=sha256:a6f32387420ac38185a38038e95eeb9aeaa878c01906c41cdb66a9f8452fc2c7

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=sha256:303074f3e1566bc7acc8062d11a1041a835b92abdd14876855dbdaf3ec065d1b

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=sha256:42d7b472d2f003f08d4cd9dc558bc6eeb2253082e97c3b8068f1476bfc51ec74

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=sha256:5da61b36e5ced0e52ecdba757796e13e9a2d8be86146ae7ebad45714a6146627

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:a49fd4d31de57feb77f0fab6b82812a45b9e368eb0ffcb70264aa43746ac76d4

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:a0355e5ddf5199ac8c37407591c407b38afb08279c1dffee3221b734a9273d56

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:e7cc63a31b05606ecb6b3aac656a937447d9f222ada5bc0b3f1f6b0e37a53679

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

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-15T08:20:22.658329Z digest=sha256:c4d0d955aa7a9ef52f69d5ad5cf9cfabb568ca0a7e53733a3b71fa6aee80681b

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=sha256:83be7b544dad3d4a71f7566c44fc4bfd1ea67191a2dc0feedc43d676fce3a22b

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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no resolver link, observed 2026-08-06T18:15:47.769065Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:15:47.769065Z digest=sha256:c270067eebf1fbc23fdb82bea4964a9c4e2038b5ea37b1d3a569d35a4d7320c8

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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no resolver link, observed 2026-08-06T18:12:57.561848Z

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source=pdf_text observed=2026-08-06T18:12:57.561848Z digest=sha256:f3e788fb809baa28d287b4848c3c335267ffd44f68be454c4c7938945459359c

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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no resolver link, observed 2026-08-06T17:44:51.490671Z

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source=arxiv_source observed=2026-08-06T17:44:51.490671Z digest=sha256:c87fc032c8010d376df82b68bcea756b396dfcf1b0590b2018b864ef03468b67

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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no resolver link, observed 2026-08-06T14:43:39.634765Z

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source=pdf_text observed=2026-08-06T14:43:39.634765Z digest=sha256:b03cd150a1ebfbe8a0352bf61cddce59830f5186eda91a7c464fb2284fd4ed1f

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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no resolver link, observed 2026-08-05T16:20:46.988868Z

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source=pdf_text observed=2026-08-05T16:20:46.988868Z digest=sha256:235777ba3771dcea5d0552f45a4e83a76e4e559415a94fd39340c98ea2da0616

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

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

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source=pdf_text observed=2026-08-15T16:24:49.028730Z digest=sha256:7125beffac24c796247e8785d25be4e88b051137957454028f8d182972eb1b05

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:12:10.147935Z digest=sha256:4fc78a479cbfd029ce8ccfe88fda4dbad8bba44aba9f436470ca74440311b512

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

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

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source=arxiv_source observed=2026-08-04T19:45:17.616902Z digest=sha256:6b279e1968f4bc8d1fc3ca4c83bf6de732dd4a9752f2f027d46c1e85261fa2c1

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-18T06:38:24.695002Z digest=sha256:fc6db0eddcefba545dd14be03b16300102d7c809ff4e6ac0749a501f9e488464

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

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:55:38.442787Z digest=sha256:d89053b026d65cada169044dc6fb6375e5a276aaff4717ae2624882c88464618

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

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

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source=pdf_text observed=2026-08-03T09:44:54.246417Z digest=sha256:4e78d1464b532217c100dcf849c4021232c590ae503477c211db2863886e09c3

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-10T04:42:05.534734Z digest=sha256:d72d6a930519cf0d39d86e6420dabf338aac0a1e054a0c082e15ee0ee33ada5e

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

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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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-06-28T16:54:12.354178Z digest=sha256:e45c4e4d4b3cfec34d6bc70ba19726dcf5fa13d36a3e60c37b27cce8fff33630

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

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

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source=arxiv_source observed=2026-08-12T19:21:59.703747Z digest=sha256:50762a6175530370861c0cb36c5ac4b8442572eccbc3830174521fde0be05b4a