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Paper Citation Record · LEDGER

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning

As of 9 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 0 inbound Pith citation observations for arXiv:2608.03249.

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

pith.paper-citation-record.v1
2608.03249 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:42:15.129349Z

measured 77 of 77 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

77 of 77 outbound references displayed

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  • verified fuzzy70
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cf29e0c1-71b6-45ee-954d-55d3cb7bb50f · outbound

This paper cites Sinkhorn Distances: Lightspeed Computation of Optimal Transport.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Sinkhorn Distances: Lightspeed Computation of Optimal Transport

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.930562Z digest=sha256:d2e4cd4332e7e920af414efe215ac7385d8537d7747fafb5b72e812398075167

Observation be44db39-31d9-4b9b-94e7-ca38ee74c020 · outbound

This paper cites Convergence of Entropic Schemes for Optimal Transport and Gradient Flows.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Convergence of Entropic Schemes for Optimal Transport and Gradient Flows

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.875165Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.934525Z digest=sha256:370a108816ae9c6790d9d0ed7d3ca2c4e23fbccaf2e89619f0dd0be485c8f7dc

Observation cc25c853-5883-4029-9002-ef7edf20b84e · outbound

This paper cites A Survey of the Schr \"o dinger Problem and Some of Its Connections with Optimal Transport.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning A Survey of the Schr \"o dinger Problem and Some of Its Connections with Optimal Transport

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.867182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.937612Z digest=sha256:b13c2716b90c27fe46f1be107f5333620297b845b086d279eddf56abd6e12b2e

Observation cc3eb050-033f-4e62-940f-af4e467bf21b · outbound

This paper cites Sample Complexity of Sinkhorn Divergences.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Sample Complexity of Sinkhorn Divergences

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.859686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.940457Z digest=sha256:396cd191f1b4e6f5fefb3a84b27ad70ee50e0845cf46fb0febee938b4af62171

Observation 09798b76-6904-4707-ac3d-4b26d4068cb9 · outbound

This paper cites Statistical Bounds for Entropic Optimal Transport: Sample Complexity and the Central Limit Theorem.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Statistical Bounds for Entropic Optimal Transport: Sample Complexity and the Central Limit Theorem

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.852313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.943481Z digest=sha256:226ee3e69d3f0cabdbdedf27081015144ef13be9680e75c310d73bf90f07d232

Observation d9baa0c0-9fb9-4f69-b269-a9c6814c4d21 · outbound

This paper cites Interpolating between Optimal Transport and MMD using Sinkhorn Divergences.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Interpolating between Optimal Transport and MMD using Sinkhorn Divergences

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.844511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.946436Z digest=sha256:01243c65f3093d4effd9607ba00ea1d3b2cf675dc93199e0090364a6c86a1e79

Observation c6ac2909-a3cb-4eee-a9a7-2d75a4a9376a · outbound

This paper cites Computational Optimal Transport: with Applications to Data Sciences.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Computational Optimal Transport: with Applications to Data Sciences

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.836708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.949592Z digest=sha256:3aa8030539814dfb38cdd6c83c2048285c664a7bfb23cb16e966e2e5b5e79dc1

Observation 66d85020-42da-46c6-bc15-1437bac97844 · outbound

This paper cites Optimal Transport: Old and New.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Optimal Transport: Old and New

Reference 8

Resolution
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raw_fallback, observed 2026-08-05T22:42:15.829076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.952231Z digest=sha256:fae1df217eecac9a2eaae294a24aced7612aa55fca56f5eefe171c94f6ed9525

Observation 1f8bd090-8050-4cf1-bfa9-41195ccb41eb · outbound

This paper cites Near-Linear Time Approximation Algorithms for Optimal Transport via Sinkhorn Iteration.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Near-Linear Time Approximation Algorithms for Optimal Transport via Sinkhorn Iteration

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.821756Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.954859Z digest=sha256:927e2b935a14e0044b347eedfa5e569e81f0c817abdc6b5a6fac45f9c6b5b6f9

Observation 5288acce-1311-4dd5-ad72-c8f65ff4900c · outbound

This paper cites Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Active Learning on a Budget: Opposite Strategies Suit High and Low Budgets

Reference 10

Resolution
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raw_fallback, observed 2026-08-05T22:42:15.813786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.957660Z digest=sha256:2c49159a5509680b5e1a7080054c7dc09692c588f292e847853a3ed3519882be

Observation 304f3e2f-732f-4636-9df2-13ff08a2e7f1 · outbound

This paper cites Active Learning Through a Covering Lens.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Active Learning Through a Covering Lens

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.960445Z digest=sha256:0722b28424791f3f70d45212874bad6f113cbd2019aefb98fe5cc5930bad981f

Observation cef3ac0b-605b-4351-b2b3-cec63dc98d26 · outbound

This paper cites Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Active Finetuning: Exploiting Annotation Budget in the Pretraining-Finetuning Paradigm

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.797489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.963209Z digest=sha256:8d922d0ee83e04635856c04e91baf1e5737743adfefb96b5545a753c14adf118

Observation 9a1788ae-6060-4248-9ffb-dfe59edc5d8f · outbound

This paper cites DCoM: Active Learning for All Learners.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning DCoM: Active Learning for All Learners

Reference 13

Resolution
verified exact
raw_fallback, observed 2026-08-05T22:42:15.325686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.965884Z digest=sha256:e997e849520e063314f5586477ffa802b672ea0a0384eac80d90d546aebd9a8e

Observation ea02d356-2f35-4dad-96d7-8f9e06ef359e · outbound

This paper cites Unsupervised Selective Labeling for More Effective Semi-Supervised Learning.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Unsupervised Selective Labeling for More Effective Semi-Supervised Learning

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.789524Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.968181Z digest=sha256:ec2c626253c8c4d4a11fc317f0bb283f111d330ac03847adbdcaeaf609429447

Observation 7285b0fe-7197-428e-a36c-88781584f541 · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.780888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.970489Z digest=sha256:dac035b56bdaff790ab8035c71b6df532b1112f8a0a6dca3f3384e94d44fa3b7

Observation 88c88a5a-2922-4e01-a068-2504e84be9d9 · outbound

This paper cites and Zhang, Chicheng and Krishnamurthy, Akshay and Langford, John and Agarwal, Alekh.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning and Zhang, Chicheng and Krishnamurthy, Akshay and Langford, John and Agarwal, Alekh

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.772812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.972836Z digest=sha256:dc3213d0fedee724fbdc7bdbf18bbdee1f30a489b9599cd2fcbe45dcf373d214

Observation 19e28269-d001-42c0-8821-992a70ac13f1 · outbound

This paper cites Low-Budget Active Learning via Wasserstein Distance: An Integer Programming Approach.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Low-Budget Active Learning via Wasserstein Distance: An Integer Programming Approach

Reference 17

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.975185Z digest=sha256:f20d806fd151c500bef2d23369b334efad7a5db157523403c11009a979955434

Observation 606372d9-3770-4f43-a314-7c5f77fb547a · outbound

This paper cites and Zhou, Zongwei.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning and Zhou, Zongwei

Reference 18

Resolution
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raw_fallback, observed 2026-08-05T22:42:15.756243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.977559Z digest=sha256:a4bcc9f0d2d101faac976da25e3b0a53bc57673bfefa21530b4b4047cd173f46

Observation 3fe49680-a129-4693-a233-15cf0fa64390 · outbound

This paper cites Parting with Illusions about Deep Active Learning.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Parting with Illusions about Deep Active Learning

Reference 19

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:42:14.979879Z digest=sha256:49deeac07df994125da560ea689d5940694227c0a6a3dc8a40daa948033f2c6e

Observation cad48277-e79a-4371-bc4e-64659da56cb8 · outbound

This paper cites Towards Robust and Reproducible Active Learning Using Neural Networks.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Towards Robust and Reproducible Active Learning Using Neural Networks

Reference 20

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.982888Z digest=sha256:07632bb14bb2f1921c3128dcc8bc9835216aaf4c2a53e9d43a4612ed8c278ff0

Observation 01fc2c19-d840-4cbd-bd92-bcd707ad4170 · outbound

This paper cites Active Learning Literature Survey.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Active Learning Literature Survey

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:42:14.985629Z digest=sha256:6043cdb366f18ed343aa3a5449bb991dfa8ff04f8af354680fa39279d039e6d6

Observation adb0f336-14cf-4d5a-80e8-9fa4b2e9a5d8 · outbound

This paper cites Deep Bayesian Active Learning with Image Data.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Deep Bayesian Active Learning with Image Data

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.987952Z digest=sha256:229133b92c13a5f1120b14498328bb0fca8d5953196d6077b1f4d8816fff8d53

Observation d59d31b7-9e6a-4bcd-8e81-6a84f1b5782e · outbound

This paper cites Learning Algorithms for Active Learning.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Learning Algorithms for Active Learning

Reference 23

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.990274Z digest=sha256:5cba486a6d488e22f7410331ce92c07ee9e755e5ae4bc0d69b9730616bf2854c

Observation ffec18ce-1d43-47cd-a91c-b4e890da8d8e · outbound

This paper cites 2025 , author =.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning 2025 , author =

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.992648Z digest=sha256:58316a5003867233df6594f8e22d2af401699350648624c577a9ac56a46e80d3

Observation b29d22d4-2b26-43c3-8782-bbbe4385a2a6 · outbound

This paper cites High-Order Flow Matching: Unified Framework and Sharp Statistical Rates , volume =.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning High-Order Flow Matching: Unified Framework and Sharp Statistical Rates , volume =

Reference 25

Resolution
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raw_fallback, observed 2026-08-05T22:42:15.711301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.995264Z digest=sha256:6e9f17f906a4378a39cbae9f65df307bb20110e60af7967f2e3f92a3350d891c

Observation 98754697-415f-4e2e-8bf4-cf0cbb8abec4 · outbound

This paper cites BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning BatchBALD: Efficient and Diverse Batch Acquisition for Deep Bayesian Active Learning

Reference 26

Resolution
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raw_fallback, observed 2026-08-05T22:42:15.703073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.997948Z digest=sha256:9e250b109b4ee4278be7e203f2d0f0ef18bd0cda337fc70fb1aeb742b1a3c818

Observation 9bd4f48a-32aa-46ff-986b-4fa409485a6f · outbound

This paper cites and Goel, Surbhi and Krishnamurthy, Akshay and Kakade, Sham.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning and Goel, Surbhi and Krishnamurthy, Akshay and Kakade, Sham

Reference 27

Resolution
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raw_fallback, observed 2026-08-05T22:42:15.695696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.000457Z digest=sha256:984b3ba0089edc84d88ba4e0ab9ef8f546ff25801cc1f940bb2cf43d891cc40e

Observation b4ea0357-fe99-4f1f-9624-40cd738e494c · outbound

This paper cites Batch Active Learning at Scale.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Batch Active Learning at Scale

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.688271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.002943Z digest=sha256:73fef82d9bc6d6f4a2b92839a9a04f0949eca1e626a1b196053f3f43d1312c57

Observation 4284bb4e-fc50-4a94-93d1-78062cb290d4 · outbound

This paper cites Selection via Proxy: Efficient Data Selection for Deep Learning.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Selection via Proxy: Efficient Data Selection for Deep Learning

Reference 29

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verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.680496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.005575Z digest=sha256:2bf120c4a0c5dd866434103aba230db8898dc77ca22ba23487f1f2656ebcad7f

Observation 9f5f5df3-bc18-4b3f-9425-e70e1e6a5e79 · outbound

This paper cites and Gale, William A.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning and Gale, William A

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.672805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.008373Z digest=sha256:86633cf9dce38e05220aacc379df0f2b28e36de32db4b31706a12f7c449a06d0

Observation f918a7f5-4de3-4626-bd38-cb90bfeb99da · outbound

This paper cites Active Hidden Markov Models for Information Extraction.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Active Hidden Markov Models for Information Extraction

Reference 31

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raw_fallback, observed 2026-08-05T22:42:15.665519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.010899Z digest=sha256:225565db0f41436cba0b2a9380dbcb6e52113a9a885c3813e952fb5517236aeb

Observation c9746f4b-9e4f-43e1-abe1-254801b9fde9 · outbound

This paper cites A Mathematical Theory of Communication.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning A Mathematical Theory of Communication

Reference 32

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raw_fallback, observed 2026-08-05T22:42:15.657821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.013536Z digest=sha256:b3bc2fe4aa28d593620ac7430be4a19ba01b195436c65e3ee9e939d9d6ff16c5

Observation 6ddf2f25-d6c1-4c2b-abde-738ec1e7a4ff · outbound

This paper cites u rnberger, Andreas and K \.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning u rnberger, Andreas and K \

Reference 33

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raw_fallback, observed 2026-08-05T22:42:15.650553Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.016157Z digest=sha256:756670bfb4baad0079fd8c5138c26dfc7ab872ad98a507ea190211252d9f5dc5

Observation ef0d054e-f0bc-4881-beb4-9a3bf8fbc363 · outbound

This paper cites Unsupervised Anomaly Detection for Aircraft PRSOV With Random Projection-Based Inner Product Prediction , year=.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Unsupervised Anomaly Detection for Aircraft PRSOV With Random Projection-Based Inner Product Prediction , year=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.642958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.019016Z digest=sha256:22083ec459e0ec18269dfc319314746beb8b860da31d6e633923144888b0c4b1

Observation 03db41c8-c769-4d24-8347-2a9abd50a6fb · outbound

This paper cites Learning Loss for Active Learning.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Learning Loss for Active Learning

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.635374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.021764Z digest=sha256:95ae2366c48e2d0d98d9fc6f51ca512f82e68fe4d64fa18ea7e31216735d9677

Observation fe78da63-5445-49f6-bb6f-943a5ddf8289 · outbound

This paper cites Variational Adversarial Active Learning.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Variational Adversarial Active Learning

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.627534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.024607Z digest=sha256:07f0d2c03a832aeb9801a57c66975fbcebcf1f5be87f67fd16a5c57afc688828

Observation 3c5c3d02-834f-4e3a-954f-3f73f596806f · outbound

This paper cites and Chen, Xiaojiang and Wang, Xin.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning and Chen, Xiaojiang and Wang, Xin

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.619914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.027336Z digest=sha256:d678c971695713e9a56ec71b17cf2737ef5dd4ee42eaf7819d117132920d467f

Observation 81da88f1-34cd-4e83-a5c0-f09437eaebd8 · outbound

This paper cites An Adversarial Training Framework Based on Unsupervised Feature Reconstruction Constraints for Crystalline Silicon Solar Cells Anomaly Detection , year=.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning An Adversarial Training Framework Based on Unsupervised Feature Reconstruction Constraints for Crystalline Silicon Solar Cells Anomaly Detection , year=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.612272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.029925Z digest=sha256:59affad9d6ddcc97947abbc259fd2d2ff34508e38bfad48e1b86a79bfa1b73ea

Observation 6bd038fa-970d-45d3-b0b9-649efabd4e0a · outbound

This paper cites Adversarial Frequency Component Reconstruction Constraint for Helicopter Vibration Signal Anomaly Detection: An Unsupervised Dual-Domain Approach , year=.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Adversarial Frequency Component Reconstruction Constraint for Helicopter Vibration Signal Anomaly Detection: An Unsupervised Dual-Domain Approach , year=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.604842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.032469Z digest=sha256:0bf44152c18ade62bcf0cf81014640818467a1669b812425b84d1af71b515a0d

Observation c81892ae-72ef-4a60-9bef-6b7500c8e96a · outbound

This paper cites Contextual Diversity for Active Learning.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Contextual Diversity for Active Learning

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.597023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.035058Z digest=sha256:a58ae098e7a593c9f1c47fa289b2d8855a607339e5fd663c73ed3278a27370b9

Observation 803a2835-9afe-478a-8ac5-83018ac18498 · outbound

This paper cites Submodularity in Data Subset Selection and Active Learning.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Submodularity in Data Subset Selection and Active Learning

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.589137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.037670Z digest=sha256:ad786bf8929add16604135246c198d135d40da561e4709dfb7693f365dace20e

Observation 29f20480-403d-4efe-aa2e-1f0555e2a358 · outbound

This paper cites Efficient Coreset Constructions via Sensitivity Sampling.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Efficient Coreset Constructions via Sensitivity Sampling

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.581688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.040432Z digest=sha256:89922d43332a3af084ee7d550b54c51493308b8fcffe784a9088798d4ded4513

Observation 61f677c8-960d-4289-b3d6-6b108d1708e6 · outbound

This paper cites Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Coresets for Estimating Means and Mean Square Error with Limited Greedy Samples

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.573674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.043050Z digest=sha256:5a796d023e770f75ef9351491873e2a2fcf2d25f5652719c30baa83211ce4e37

Observation 913945c6-0664-4ec9-a24c-0bc74ed2a193 · outbound

This paper cites Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.565788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.045773Z digest=sha256:ce93fd188d956f17726c998f040ce4c35d416ab9be0137c6364610cc875eb70f

Observation 7351fe42-d1a3-4d10-b9a4-e97b0d5abeb8 · outbound

This paper cites Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learning.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Foundation Model Makes Clustering A Better Initialization For Cold-Start Active Learning

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T22:42:15.048044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:42:15.048044Z digest=sha256:7ae584b44b01436e63ff1224ab4de0deddc173e3b8fa622e550e40cc9f59be5b

Observation 8fb1bb72-472e-402b-bb41-f21ffbf6b04f · outbound

This paper cites Cold-start Active Learning through Self-supervised Language Modeling.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Cold-start Active Learning through Self-supervised Language Modeling

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.557561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.050696Z digest=sha256:e8ee1959ee1b5e37766ce247ef5e901e7b14c70270a688d82243176c19318c8b

Observation 07204d49-0b76-439e-90c3-5acfc642f015 · outbound

This paper cites Reducing Label Effort: Self-Supervised Meets Active Learning.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Reducing Label Effort: Self-Supervised Meets Active Learning

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.549990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.053186Z digest=sha256:917b49681db7239c1007b8914485afe62b9073dcbcbb178472522b25a4750a47

Observation 1996f554-26e4-4178-9db8-03b55f03923f · outbound

This paper cites Generalized Coverage for More Robust Low-Budget Active Learning.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Generalized Coverage for More Robust Low-Budget Active Learning

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.542713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.055509Z digest=sha256:b7822b636d1edbeb5633c036fafebe60fc3e1b2f8245e994ea33a9f09f880e68

Observation 2c124268-b870-4cb1-8c4b-1ff929ea781a · outbound

This paper cites International Conference on Medical Image Computing and Computer-Assisted Intervention , pages=.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning International Conference on Medical Image Computing and Computer-Assisted Intervention , pages=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.535115Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.057749Z digest=sha256:a072cbdc40fb63dc31277943354ffc510fab251a178ffaeb277f03569014213d

Observation 52ec6e5e-3790-4526-aa2b-35ae8bf79732 · outbound

This paper cites and Oliveira, Gabriel L.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning and Oliveira, Gabriel L

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.527693Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.060304Z digest=sha256:7da251f0613c4820e47a26bb6c475ee810d89b656be76172fffa91465a8b6e8e

Observation b3cb5bb0-319b-4382-a185-e95a6d487302 · outbound

This paper cites an unresolved cited work.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:42:15.520182Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.062518Z digest=sha256:7677cc1d90ac7ed75415544ae532219eed244876d013ec43cadf61395a96acae

Observation 6179a688-b1b8-4ece-8139-8c586b8bc5cd · outbound

This paper cites CSAL-3D: Cold-Start Active Learning for 3D Medical Image Segmentation via SSL-Driven Uncertainty-Reinforced Diversity Sampling.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning CSAL-3D: Cold-Start Active Learning for 3D Medical Image Segmentation via SSL-Driven Uncertainty-Reinforced Diversity Sampling

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.512819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.064915Z digest=sha256:a7adde463aa061deb6515e1f0be6096431dfe86e82427eb70140dbe99f91e682

Observation ac74303e-c9f1-4cd3-8d35-3292b90cc13e · outbound

This paper cites SUGFW: A SAM-Based Uncertainty-Guided Feature Weighting Framework for Cold-Start Active Learning.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning SUGFW: A SAM-Based Uncertainty-Guided Feature Weighting Framework for Cold-Start Active Learning

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.505350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.067198Z digest=sha256:e7e5603e889053e0c0b4446118c0ae9b16a9663e4041543ac8b19b1b37ec5a75

Observation 4b40ddcc-c4cc-4479-b670-f0fd1e556c98 · outbound

This paper cites Active Learning for Vision-Language Models.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Active Learning for Vision-Language Models

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.496648Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.069492Z digest=sha256:a9f4ab0d3dd1f8b704692447c81566e2c9e604c53dff2f66fcefd8aa60ee044b

Observation 2b76e625-db4c-4fdf-9b60-7e00a5430f08 · outbound

This paper cites Transactions on Machine Learning Research.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Transactions on Machine Learning Research

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.489093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.071792Z digest=sha256:a24c6b4392570f8385f1bede665587d605c55cc1ca3500073b6f96a37e228c03

Observation a609afe1-5cc0-4226-84d8-2cb8b9d553cf · outbound

This paper cites Sigmoid Loss for Language Image Pre-Training.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Sigmoid Loss for Language Image Pre-Training

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.481088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.074241Z digest=sha256:eaf8d97d3248f108b638ab6e159be32886ed347aefa30247acb9ce2d1e176afe

Observation 7c6c497b-d206-465e-b8b0-23c61ba5106a · outbound

This paper cites Gradient-Based Learning Applied to Document Recognition.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Gradient-Based Learning Applied to Document Recognition

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.473549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.076606Z digest=sha256:e97921cd082b8c1fab8073c57be4ea2dd6440b70fafb217ba2232d8585829415

Observation 28095279-cb2f-4ec0-8f6a-e859a9d7cda5 · outbound

This paper cites Learning Multiple Layers of Features from Tiny Images.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Learning Multiple Layers of Features from Tiny Images

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.466270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.079317Z digest=sha256:719612949941eebae5d78657b9375ad71f0d0463009e389197629ce75d3cd451

Observation 6ae72fea-52c1-4ca9-91e1-bbaf866cb44c · outbound

This paper cites An Analysis of Single-Layer Networks in Unsupervised Feature Learning.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning An Analysis of Single-Layer Networks in Unsupervised Feature Learning

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.458800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.081622Z digest=sha256:ec082da6146a264df766795531d8c899a6f5a39c51adcd85a82c58f05ce8da85

Observation fb6a14cc-1ce9-4507-af16-41f1191f4749 · outbound

This paper cites Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.450861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.084072Z digest=sha256:2e39b6d048cdd5a5bb225f191272fcd57cac874cd954c41a846ebae6ee8ef01c

Observation c256c788-0ac9-41f7-adc3-d0542a47781e · outbound

This paper cites ImageNet: A Large-Scale Hierarchical Image Database.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning ImageNet: A Large-Scale Hierarchical Image Database

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.443286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.086618Z digest=sha256:1e05b9059206800cfb58bf7d5f3c4f7c3e5004f45caca9ce8fe7527d0f5231ef

Observation 0bf9854e-9d07-4128-838a-bfd93fc0ea9a · outbound

This paper cites Asymptotic Methods in Statistical Decision Theory.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Asymptotic Methods in Statistical Decision Theory

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.435801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.089298Z digest=sha256:19822e8dcedc733aac45cdc4525efc2dece7b576fb820ed066abadf9dcd7ae42

Observation a9f18f41-d55e-4c82-88e8-67e2366dfc85 · outbound

This paper cites Introduction to Nonparametric Estimation.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Introduction to Nonparametric Estimation

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.428342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.091949Z digest=sha256:fd657684670c5534d5517effe63987c6614abfb4d0f2a99792636c89403bc5fc

Observation 7649ab37-4145-45dd-a1fe-b63768636d05 · outbound

This paper cites Concentration Inequalities: A Nonasymptotic Theory of Independence.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Concentration Inequalities: A Nonasymptotic Theory of Independence

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.421128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.094530Z digest=sha256:0b2f294356c4448da9cc4871b19819a93823e12f8ab1e1ffaec2c69fe3ae02bc

Observation 83ff6410-ff8b-4d37-ac0b-f9bdb2bcccfc · outbound

This paper cites Maximum Likelihood Estimation of Intrinsic Dimension.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Maximum Likelihood Estimation of Intrinsic Dimension

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.413487Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.097181Z digest=sha256:2b0788c682db226dac8f9228c53e6b1933d856e87605a68fd7705aa8d3bb56b1

Observation 8d0e2c13-2278-4c31-a831-12be2416ae62 · outbound

This paper cites Gamma-Convergence for Beginners.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Gamma-Convergence for Beginners

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.405953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.100025Z digest=sha256:e5c7a770aaaf561b048ff98185fe18de40b2d504250522255e7f2f9c2cc15b7a

Observation a6c3afcd-abf8-419c-93ac-cf2af9f4cd10 · outbound

This paper cites An Introduction to Gamma-Convergence.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning An Introduction to Gamma-Convergence

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.398710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.102672Z digest=sha256:b060e0ebceb79ffa8a65431d14e57de95ee838f3cef10ffb11296ca110075f6d

Observation 5fd7b1a8-d135-4e87-8b32-297065de13ec · outbound

This paper cites One-shot Active Learning for Image Segmentation via Contrastive Learning and Diversity-based Sampling.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning One-shot Active Learning for Image Segmentation via Contrastive Learning and Diversity-based Sampling

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.390836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.105401Z digest=sha256:90fcfa4798abf761bf4b96c3dd5562282d9ab0a306277adf3030db8ecea2dcb4

Observation ebe905a4-a933-4b6b-a2ed-1a0fcf979fcb · outbound

This paper cites Least Squares Quantization in PCM.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Least Squares Quantization in PCM

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.383131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.108099Z digest=sha256:2d92602942723b52f9f6996c1dc3de21c8e50874432955c28e5ccf915f4de152

Observation 9f1941b6-dadd-4b76-844d-4bc579bec841 · outbound

This paper cites Billion-scale Similarity Search with GPUs.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Billion-scale Similarity Search with GPUs

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.375731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.110718Z digest=sha256:8487856b436afcf3e5f9a8b3cd00db9dd99ec4e409f4ea59e2fdf029f4f19cd9

Observation 3c06df78-e0b7-489d-abcf-36c688969d18 · outbound

This paper cites Cold-Start Active Learning for Image Classification.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Cold-Start Active Learning for Image Classification

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.367459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.113375Z digest=sha256:681b79d73f9aad12ebe79b0e49933bbb1c724ee8b45ed97e8373448bbb707ce9

Observation 723ac448-afdd-43ff-91d2-2e5e4d7ab03a · outbound

This paper cites and Xu, Jianliang.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning and Xu, Jianliang

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.358976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.116106Z digest=sha256:fb2165740bbfafb1220cc1b415002e88436cbb1bd24a8d6264efec741e9a0890

Observation 09c69b8c-5d8d-48af-aabd-f2ffb81a47a3 · outbound

This paper cites An Efficient Query Strategy for Active Learning via Optimal Transport.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning An Efficient Query Strategy for Active Learning via Optimal Transport

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.350771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.118776Z digest=sha256:f842551ebf7f636cf6ea7d36538200b0e1baed82a1f6f4d4068b1350d5bdcc79

Observation 93d8848f-9a9b-41c7-8ae5-e1a16f31aea6 · outbound

This paper cites Partial Optimal Transport for Support Subset Selection.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Partial Optimal Transport for Support Subset Selection

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.342583Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.121454Z digest=sha256:fa3dc30f556aaa17f4fd4ef31481bb46a0cb3aa075a1088374a013da65cb2701

Observation eac44249-a771-466a-ba9a-4cfc814cea48 · outbound

This paper cites and Ramakrishnan, Ganesh and Mishra, Bamdev and Jawanpuria, Pratik.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning and Ramakrishnan, Ganesh and Mishra, Bamdev and Jawanpuria, Pratik

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.334404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.124077Z digest=sha256:5535de4cbe7ec82174a7f3d2adf95b5bcb3fa5030e17d0614b0f10326a01fb6c

Observation 6493ca88-641d-400d-aa3f-5ac71b5f9258 · outbound

This paper cites Dataset-Aware Cold-Start Active Learning for Annotation-Efficient 3D Medical Image Segmentation.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning Dataset-Aware Cold-Start Active Learning for Annotation-Efficient 3D Medical Image Segmentation

Reference 76

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:42:15.249548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.126668Z digest=sha256:ba1dccc59e3857d516f3e0e66f853bc7becfc6276141e34ee94bccfedfeeb00d

Observation 8c3b44e5-b05a-4e8c-94ed-edb51faf9503 · outbound

This paper cites MedCAL-Bench: A Comprehensive Benchmark on Cold-Start Active Learning with Foundation Models for Medical Image Analysis.

One Knob to Rule Them All: A Unified Optimal Transport View of Cold-Start Active Learning MedCAL-Bench: A Comprehensive Benchmark on Cold-Start Active Learning with Foundation Models for Medical Image Analysis

Reference 77

Resolution
unresolved
no resolver link, observed 2026-08-05T22:42:15.129349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:42:15.129349Z digest=sha256:9b6a16c04b0127dbd1f010268c4859aab359e032c6162f8509a783c33b7f0698

Pith citing papers

No inbound Pith citation observations are available.