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Paper Citation Record · LEDGER

AutoML-GPT: Automatic Machine Learning with GPT

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 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 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:19:00.701344Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • 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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-13T07:28:24.827546Z digest=sha256:da29bea5198a71adcbe10c6aff08ffef83a932641480322e6e70978e773df94d

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=sha256:447284916bffae9e146dbd4d78f347a92ce51ce9e5f1cd939dd31e552c18cc70

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:f3130006f1f36dcd1277db23b9ec6d6954e18d0ad056575eebe2a5b23f3168b9

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=sha256:2b96ac9d6781f241fd706bc111d4a9f4e6a450afbf977b01a20db84af02fefcc

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=sha256:45fe28b28b51980dec3abae100ede6df30cd3ef1535e165cd515bbaae0416de5

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:d8f587f973ad69efaceb6186335a16bc181fed0cc650e6449e20a5d9b1c1f130

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-08T16:28:40.262681Z digest=sha256:a1c3e08f977f28913fca971a4f58af9216130688cb9da1bb4e136c8a64c7a0af

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-13T05:56:36.312877Z digest=sha256:06d55f1e30f554cf90bdefa4ff6f13f6aeb3694058477c3453ff7005f605f349

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T22:18:45.189576Z digest=sha256:88e508e2bb9e24503559a5a55102b20af737060407cc58b4182722733a6eb0e7

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-26T15:03:33.900009Z digest=sha256:d8547820535cb0f994b9392d8b1f645c45b239f01c99043bf38ed970116f2c5d

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=sha256:42c2a3623b795b08a461e4280b43e7c6bf6862ac03fce505de0462b861a4c6f4

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:d8683be87ee42e0b9ad1f42dc07f4ca89842c1959cdadf6ceda7e4adf81af434