Paper Citation Record · LEDGER

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering

As of 12 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2507.20446.

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

pith.paper-citation-record.v1
2507.20446 v2

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:39:03.447881Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

verified exact3
verified fuzzy13
unresolved12
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ad9f1d1d-ccb1-4e77-9194-e3b63ce62bcd · outbound

This paper cites Learn., 47(2-3), 235–256, (May 2002).

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Learn., 47(2-3), 235–256, (May 2002)

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:39:09.322942Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation fb2b6b78-7bc9-4e7e-b4af-788b46c8b35b · outbound

This paper cites Benchmarking Automatic Machine Learning Frameworks.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Benchmarking Automatic Machine Learning Frameworks

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:39:04.269173Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b3b877b9-710b-4483-a4e4-5d0acd69fa4c · outbound

This paper cites 2546–2554, Granada, Spain, (2011).

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering 2546–2554, Granada, Spain, (2011)

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:39:09.163826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 3fb2d16e-5500-4d7c-bf3d-7be0977fe464 · outbound

This paper cites an unresolved cited work.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:39:08.964751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 7600401b-2e52-49b0-a670-f8d74df98595 · outbound

This paper cites an unresolved cited work.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:39:08.722469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 67b55d28-2189-4312-9e32-ab7ebf524b7a · outbound

This paper cites A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering A Tutorial on Bayesian Optimization of Expensive Cost Functions, with Application to Active User Modeling and Hierarchical Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T13:39:00.935267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b374990-5f5e-4996-acdd-a087a0575fc2 · outbound

This paper cites Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T13:39:01.117409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79a3a342-6937-4973-8542-4db731fa5017 · outbound

This paper cites an unresolved cited work.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:39:08.571104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation ebe40b22-dd90-40f4-ac40-8d4ee7feca20 · outbound

This paper cites 1133–1141, (2015).

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering 1133–1141, (2015)

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:39:08.355157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 33c77cb6-0157-402d-843e-e3984afabce4 · outbound

This paper cites an unresolved cited work.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:39:08.104835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8c0eaa11-db44-4228-8a4a-59c328ca28d6 · outbound

This paper cites Dy and Andreas Krause, volume 80 of Proceedings of Machine Learn- ing Research, pp.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Dy and Andreas Krause, volume 80 of Proceedings of Machine Learn- ing Research, pp

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:39:07.867741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 0cb77aa1-0dce-4f17-8712-c91fc6ebf416 · outbound

This paper cites 2962–2970, Montr´eal, Canada, (2015).

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering 2962–2970, Montr´eal, Canada, (2015)

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:39:07.680658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b17e6248-2c77-4d5e-b193-e2fc63c3d4cc · outbound

This paper cites an unresolved cited work.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:39:07.455145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation dbb2f8d2-de02-446f-9b7f-fe6943788989 · outbound

This paper cites an unresolved cited work.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:39:07.290231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a80206d1-55c4-46f4-8d3e-a1dd97d0fd35 · outbound

This paper cites Lawrence and Mark A.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Lawrence and Mark A

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:39:07.076019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 2de235a2-4e9e-41ec-a364-ce9533735627 · outbound

This paper cites 1137–1145.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering 1137–1145

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:39:06.825468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8b3e6607-9f95-4f04-8674-e96e9ce286e4 · outbound

This paper cites an unresolved cited work.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:39:06.572877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation f530da17-c274-47fb-8676-c97a416bcb0d · outbound

This paper cites an unresolved cited work.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:39:06.382157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 5b023348-96d6-4562-a7d7-20d185029703 · outbound

This paper cites Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, and Ameet Talwalkar, ‘Hyperband: A novel bandit-based approach to hyperparameter optimization’, J.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Jamieson, Giulia DeSalvo, Afshin Rostamizadeh, and Ameet Talwalkar, ‘Hyperband: A novel bandit-based approach to hyperparameter optimization’, J

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:39:06.243016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8ced884c-14d4-4868-83b2-3bc660a4b1da · outbound

This paper cites Olson, Nathan Bartley, Ryan J.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Olson, Nathan Bartley, Ryan J

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:39:05.998475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 40972178-7e51-4563-a08f-917cd63bef46 · outbound

This paper cites 18–23, Aachen, Germany, Germany, (2014).

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering 18–23, Aachen, Germany, Germany, (2014)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:39:05.711982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation a570d7e8-ffa8-4992-bbe5-19af1f1009f5 · outbound

This paper cites Adams, ‘Practical bayesian optimization of machine learning algorithms’, in Advances in Neural Information Processing Systems , pp.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Adams, ‘Practical bayesian optimization of machine learning algorithms’, in Advances in Neural Information Processing Systems , pp

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:39:05.360488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation b34ee83a-73fd-4268-871d-431bf764bb2d · outbound

This paper cites 1015–1022, USA, (2010).

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering 1015–1022, USA, (2010)

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:39:05.091764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation bcdc6ccd-78a4-4e82-a162-674c7dc158ec · outbound

This paper cites Sutton and Andrew G.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Sutton and Andrew G

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T13:39:04.924267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 1cefcc8c-e71a-4b53-9f93-7e3b8b8f9551 · outbound

This paper cites an unresolved cited work.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:39:04.826749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 8a21253d-1fbe-43c4-a319-8645709af745 · outbound

This paper cites OpenML: networked science in machine learning.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering OpenML: networked science in machine learning

Reference 26

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:39:03.831296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 96d43531-3075-4ce8-81a3-cf79b9d3dc05 · outbound

This paper cites an unresolved cited work.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T13:39:04.591447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Observation 067a2b45-3081-443d-809b-2f2eb9dcf8f5 · outbound

This paper cites Combination of Hyperband and Bayesian Optimization for Hyperparameter Optimization in Deep Learning.

BOASF: A Unified Framework for Speeding up Automatic Machine Learning via Adaptive Successive Filtering Combination of Hyperband and Bayesian Optimization for Hyperparameter Optimization in Deep Learning

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T13:39:03.628246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

Pith citing papers

No inbound Pith citation observations are available.