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Paper Citation Record · LEDGER

AutoML-GPT: Automatic Machine Learning with GPT

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2305.02499.

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

pith.paper-citation-record.v1
2305.02499 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:37:32.634842Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T05:59:37.605008Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 47f2cb66-8184-4120-9f1a-3d68bcb9a29b · inbound

WizardLM: Empowering large pre-trained language models to follow complex instructions cites this paper.

WizardLM: Empowering large pre-trained language models to follow complex instructions AutoML-GPT: Automatic Machine Learning with GPT

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-13T07:28:25.004851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-13T07:28:24.827546Z digest=sha256:facde9de02b4ec0b80245adac44c3dc0f1fd0107184617d5a8abe0561675e769

Observation 5915d7a6-a843-4197-bc26-dc0fbdda0d4c · inbound

Bag of Tricks for Multimodal AutoML with Image, Text, and Tabular Data cites this paper.

Bag of Tricks for Multimodal AutoML with Image, Text, and Tabular Data AutoML-GPT: Automatic Machine Learning with GPT

Reference 103

Resolution
unresolved
no resolver link, observed 2026-08-11T11:32:54.310096Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:32:54.310096Z digest=sha256:ed32b1e7267dca7e13d65629a28eb081557e12771be5e43ca901589c303f9b12

Observation d6327dcc-031c-434c-9a53-0d087091e94f · inbound

Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback cites this paper.

Dolphin: Moving Towards Closed-loop Auto-research through Thinking, Practice, and Feedback AutoML-GPT: Automatic Machine Learning with GPT

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T21:48:57.230206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T21:48:57.230206Z digest=sha256:2a8e7a626d3481252100825c3e775694cd9cc1ab1f93f1998455144672433577

Observation 5e24689a-1ca5-4c3d-b422-9ee65a0e7185 · inbound

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs cites this paper.

Empowering AI to Generate Better AI Code: Guided Generation of Deep Learning Projects with LLMs AutoML-GPT: Automatic Machine Learning with GPT

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T11:37:32.634842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:37:32.634842Z digest=sha256:e1f5cf5376a7f168b172ed9809a7418575cab44beb5b2128ecbe4de0465de8c3

Observation 9380d3d0-131e-4fbf-9b9c-0defbe1ec0ed · inbound

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows cites this paper.

Optimization Problem Solving Can Transition to Evolutionary Agentic Workflows AutoML-GPT: Automatic Machine Learning with GPT

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-15T23:34:30.294228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T23:34:30.294228Z digest=sha256:22d95870b7c33476e03420886c94e8220c72d715cdf211b729211bf188bc8519

Observation 58f6025d-1225-4a70-80e0-d82251d23719 · inbound

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard cites this paper.

Make Still Further Progress: Chain of Thoughts for Tabular Data Leaderboard AutoML-GPT: Automatic Machine Learning with GPT

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-15T20:18:43.446717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:18:43.446717Z digest=sha256:09886f5b451c7446963c7bea016cb60b4f87e7abc8f48cf09825c3eac4b06da7

Observation a1755caf-6444-477b-8e32-beb4758b45a2 · inbound

ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning cites this paper.

ML-Master: Towards AI-for-AI via Integration of Exploration and Reasoning AutoML-GPT: Automatic Machine Learning with GPT

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-15T19:28:26.831939Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:28:26.831939Z digest=sha256:3a2f125d49066787d406c960533e86a6a5ecd7f8a10db9a10a1e2b05ef177e9b

Observation 80fe797f-47cd-4cbb-9c98-6afeaa06bf01 · inbound

Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective cites this paper.

Evaluation of Large Language Model-Driven AutoML in Data and Model Management from Human-Centered Perspective AutoML-GPT: Automatic Machine Learning with GPT

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T19:19:00.701344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:19:00.701344Z digest=sha256:f984c83cc53f4e6e9c79898703a08d2bb633ab842f96ad97c89be0ac70b22d1d

Observation 64f49388-3186-4dcd-89a6-01b792130d3c · inbound

Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design cites this paper.

Beyond Model Base Retrieval: Weaving Knowledge to Master Fine-grained Neural Network Design AutoML-GPT: Automatic Machine Learning with GPT

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T15:43:27.343380Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:43:27.343380Z digest=sha256:67b7e5131c630b172aa997ecf6648dce7ae1eaba0d767c40d24d950d9e3015cb

Observation 3f4416ed-85b5-484c-9af7-607c8e123433 · inbound

EvoVLMA: Evolutionary Vision-Language Model Adaptation cites this paper.

EvoVLMA: Evolutionary Vision-Language Model Adaptation AutoML-GPT: Automatic Machine Learning with GPT

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-06T05:39:02.110131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:39:02.110131Z digest=sha256:881dead1eb3db17034196dd39e9c0d5dcc23a905d4eb11aff97b1bbda381b2d0

Observation e5ce4061-220c-472e-a887-5c0ffc568eca · inbound

Reinforcement Learning for Machine Learning Engineering Agents cites this paper.

Reinforcement Learning for Machine Learning Engineering Agents AutoML-GPT: Automatic Machine Learning with GPT

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-05T12:24:02.294801Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:24:02.294801Z digest=sha256:4c43828a31df0d41ae7569a26eee1022460b151e1436d7dd6b2264b3ba6b3d4a

Observation 44aecbb0-9e3c-4458-b9b9-e638bdb8cae4 · inbound

iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML cites this paper.

iML: Executable, Problem-Grounded, and Broadly Exploratory Code-Driven AutoML AutoML-GPT: Automatic Machine Learning with GPT

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-02T23:25:33.689016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:25:33.689016Z digest=sha256:5fb411e277c4164907ac7e16c08f3eea1ec3cfd8f8fb2ba7a589bf6151d6f1fa

Observation 2291fe42-468a-4b26-aecf-b0dc8ee9102f · inbound

Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs cites this paper.

Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs AutoML-GPT: Automatic Machine Learning with GPT

Reference 54

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:11:06.538134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-08T16:28:40.262681Z digest=sha256:8870f6a14ab73b01da2d7a4ee84b39789f858ec94447d7610b97caa727b9a85d

Observation 0b9bd03c-d876-41d8-b4fb-66388c06682d · inbound

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows cites this paper.

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows AutoML-GPT: Automatic Machine Learning with GPT

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:22.484301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-13T05:56:36.312877Z digest=sha256:d526f8140a4f95e8e734780aa67f66aeb2998d05faf2988c669d92aff5714c25

Observation a8453026-8602-4fd6-9caf-096017e97213 · inbound

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows cites this paper.

ProfiliTable: Profiling-Driven Tabular Data Processing via Agentic Workflows AutoML-GPT: Automatic Machine Learning with GPT

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-07-01T14:05:46.744900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-30T22:18:45.189576Z digest=sha256:f5398f666d5b7c7611745b43c3b0f6d129c450518cc1cb5917efc69609124253

Observation 2e07ebb9-adef-49c2-a622-a8dc36abc61b · inbound

LLM-Driven Heuristic Frame-Level Quantization Parameter Adaptation for VVenC cites this paper.

LLM-Driven Heuristic Frame-Level Quantization Parameter Adaptation for VVenC AutoML-GPT: Automatic Machine Learning with GPT

Reference 23

Resolution
verified exact
arxiv_id, observed 2026-07-04T05:59:37.607295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-06-26T15:03:33.900009Z digest=sha256:9670cbb55c2522dc9c601d65751fda6d9c3b1309b4319571b031c188efff4fb8

Observation 1e1d7ddc-847e-4a5b-bee7-5f80e8eff804 · inbound

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering cites this paper.

Matryoshka Agent: Unfolding Sub-Agents for Long-Horizon Machine Learning Engineering AutoML-GPT: Automatic Machine Learning with GPT

Reference 59

Resolution
unresolved
no resolver link, observed 2026-07-31T01:39:49.518675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-31T01:39:49.518675Z digest=sha256:8fb6420c35c9b6d5c70d123a9c3da5f2652e5a4d8b1d0b66ff6f51227312eee3

Observation 56c8eaa5-16d5-4170-acd8-5f3f2c906dd4 · inbound

Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch cites this paper.

Agentic Bayesian Optimization through Surrogate-Augmented Autoresearch AutoML-GPT: Automatic Machine Learning with GPT

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-04T00:51:36.329966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:51:36.329966Z digest=sha256:ef67413dd615b6f7c43b7ea43d57359b023d8279328e45b6387f1b28ded5b26c