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Paper Citation Record · LEDGER

Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2007.04074.

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

pith.paper-citation-record.v1
2007.04074 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:23:06.221142Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T01:13:47.811012Z

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 e5670b2e-c47f-4550-a017-63c25e83ee62 · inbound

TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second cites this paper.

TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-15T03:04:00.550786Z

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=2026-05-15T03:04:00.513443Z digest=sha256:92f8a2352a498c3a018a5a7a39efc4fbda0ce1d5a99857b9f5c2c12af0e808d7

Observation 8693a9bf-9664-41d0-a789-7eab717df857 · inbound

TabFlex: Scaling Tabular Learning to Millions with Linear Attention cites this paper.

TabFlex: Scaling Tabular Learning to Millions with Linear Attention Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T10:23:06.221142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:23:06.221142Z digest=sha256:2b13bf84ef3e524308c71644b244049058afedabbfa14209be72edeb0742fd71

Observation 303083e8-4f56-42a8-91b9-de187dc819e4 · inbound

Counting voids and filaments: Betti Curves as a Powerful Probe for Cosmology cites this paper.

Counting voids and filaments: Betti Curves as a Powerful Probe for Cosmology Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-17T01:13:47.813476Z

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=2026-05-17T01:13:37.805096Z digest=sha256:dc792bcabd65d297751499a331b4b89b3ef69a7a69510a28a82d299f0cf1d4d3

Observation 320a0b40-0bff-4ffa-886e-825d0a9080fb · inbound

Pioneer Agent: Continual Improvement of Small Language Models in Production cites this paper.

Pioneer Agent: Continual Improvement of Small Language Models in Production Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T06:05:57.497409Z

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=2026-05-10T17:48:40.520740Z digest=sha256:3cc69a3c9beddcdd6459cb68c4358ae54883bb5afee546b0fe03cc75f5282219

Observation 34c6b8d2-3daf-4ea5-976f-602cccecc4f2 · inbound

Data Language Models: A New Foundation Model Class for Tabular Data cites this paper.

Data Language Models: A New Foundation Model Class for Tabular Data Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T20:11:10.270970Z

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=2026-05-08T10:06:34.627253Z digest=sha256:0254eb6810882db5f96cf9dbd0daa6ff6083716fc67ce9b81bbfd394e4f5e85e

Observation 4d2c00a5-0a4c-4974-a807-56d253765df0 · inbound

DiffPhD: A Unified Differentiable Solver for Projective Heterogeneous Materials in Elastodynamics with Contact-Rich GPU-Acceleration cites this paper.

DiffPhD: A Unified Differentiable Solver for Projective Heterogeneous Materials in Elastodynamics with Contact-Rich GPU-Acceleration Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-15T01:09:36.917088Z

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=2026-05-15T01:09:18.462981Z digest=sha256:765132967b47e4cb60b8d1ec8897e50635b75faf2d18b57f2488d4e04babb9e9

Observation 4739da09-3733-49e8-82ee-e8f1d87af515 · inbound

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling cites this paper.

Automated Data Engineering and Feature Selection for the Case Study of Warpage Detection in Fused Deposition Modeling Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-01T15:16:39.748487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T15:16:39.748487Z digest=sha256:701d7e74b9390486f26268686da491168659b45c5aad139ae0d677af473f50be

Observation 458917d7-9c1f-45a0-b114-457ac9e69b65 · inbound

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details cites this paper.

Is Inter-Seed Cross-Play Enough? Evaluating the Robustness of Zero-Shot Coordination Algorithms to Implementation Details Auto-Sklearn 2.0: Hands-free AutoML via Meta-Learning

Reference 164

Resolution
unresolved
no resolver link, observed 2026-08-05T15:25:40.044180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T15:25:40.044180Z digest=sha256:174c01078c6d598fb7f289fc5cfbbd714c2323e2dc51f26664897381a3407e0a