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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 10 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 2026-08-10T06:31:04.303077+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

  • verified exact2
  • 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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.930562Z digest=sha256:fd5c15698c98b7a043b79c33c0d1284a9a1f44085504930bee92dfb3eedeeba2

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.934525Z digest=sha256:7eee4ad64c137444dc903b5d2c68e2d90e1d7cd706f79bb47db2d28349d0b9e8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.937612Z digest=sha256:4affb4c5cefe44b9d84de57f0290863c4f7940d4b2fa9c968c4e4224f863f9ed

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.940457Z digest=sha256:3cb763d48db928e075be36356bca9e638d1b2a50e73d0248c33a9d0e6b79df2c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.943481Z digest=sha256:3cd98e64a62747695ec688d5e1bd15d9d1cd9122ee7630ac2dc9e552ccd486a4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.946436Z digest=sha256:f6f64d521552a6f129871388e0399cc336dc598e75e27a52483514f8f5d2ba7e

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
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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.949592Z digest=sha256:b77a792c872c1a80a2490a0fea91521a7a62caeb94f1820439fb0b9df769da58

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
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.952231Z digest=sha256:a8bc97bdb0c012090bd9c3fc51f65f89241968355628797f8e05fdcf05cef1d8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.954859Z digest=sha256:a51f40b7c0bb6f6ef5171fe302d5a8b394062dfcafb21a76420d0ce3846910e2

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
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.957660Z digest=sha256:2411539d45ced66c9ebac7e0468690498782c35cc95a2111c942b9991f909e58

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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raw_fallback, observed 2026-08-05T22:42:15.805651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.960445Z digest=sha256:e03251822676774ab014997a206786a373b9d5720d8bda7e834fee3f4177d9e2

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.963209Z digest=sha256:340ac525c70f65015541ed2642cb5ffbb2e78345af748f9bdd269baea58ec320

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.965884Z digest=sha256:da5de81ce7f0513b672505926682251d0883e2b04879e204d3f0e2a4a6c85554

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.968181Z digest=sha256:b05f6c7270ff5d12737918afba1ba5dbd22d944567f6476cbcfa89c280ae6d6b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.970489Z digest=sha256:377284f64a9de23d698b52745abd61a1d9ec9b07e2a5a5f7b9eb685e942a2a78

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.972836Z digest=sha256:191dc00c2b57e9384d90236bf47d392a67f8156954e2ef91ee1bcff6a46fb620

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

Resolution
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.975185Z digest=sha256:0af4534fdd0e90ed667edff070e0c16c4e0ee454db6f5ea23a8705d5502eaad5

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.977559Z digest=sha256:20b11afbb1abf3244dd1d87d19d208e627f2f2208c07ab88ee7f519f8ff4d006

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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raw_fallback, observed 2026-08-05T22:42:15.748337Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.982888Z digest=sha256:8e4ffa6b062e5a54411ae20f8d389b226fbcb34c5386252f90052d6ce49dd816

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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verified fuzzy
raw_fallback, observed 2026-08-05T22:42:15.734925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.987952Z digest=sha256:ddd2023f343f99f9f810319609573b4ddcf36c9e4b1ad7fafa2eb7b3cf1286b0

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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raw_fallback, observed 2026-08-05T22:42:15.727251Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.990274Z digest=sha256:1035ec825222e8086e3efa41091dcaec581abd9bd66bffb68a73e09285ab652b

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

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raw_fallback, observed 2026-08-05T22:42:15.719527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.992648Z digest=sha256:3483751d49f1637a4d15fd87b85acb5a62e1e6b4ace33c07a5d8b706ba9975b0

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
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.995264Z digest=sha256:e08cefb1131845b5f8018b3b2dfd2c0a2e3e6292d291912d5e4372ba941f92ed

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:14.997948Z digest=sha256:1ce8c4bbcd3fe810a5e28937782ff6ce80f7825a63da704fb9f53fbeafb455ba

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.000457Z digest=sha256:f8b72d72f91a6abf9b735f30aa618f2251a3f5dd5c19d7952f32eaf7cc732991

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.002943Z digest=sha256:adbcfacf66eab721a0d21f21152542840779105a19a60d707008abca97242711

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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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.005575Z digest=sha256:6cadf818bdf664e3dc10154302bfca00250d9543481a497f341438a3bd860dd7

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

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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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.008373Z digest=sha256:551c91d03633489fc25987a735e181a4a7ff40ef65e55a12e7bf1258afb7062e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.010899Z digest=sha256:2fda33356b00af4923af1c159dbb87d91017dec1a599b1bd853d3d107b965ece

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.013536Z digest=sha256:d30fcbf10ab4cd57a227056041c9f7aee8824cd11a2b9643b092bc17d1059488

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

Resolution
verified fuzzy
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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.016157Z digest=sha256:f05f1ecc75cb1a25bd9eb33629c2dac310bc838b1594a2f8e7b27dddd94dd99d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.019016Z digest=sha256:594ae2f2e1c3b0b2841f620c58b4cf02d1435c99889583fca515e1df092ce3a5

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.021764Z digest=sha256:f375493a1c9ad6d0657e7349014989336001b15cadd994dd80d281fc8debbfa7

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.024607Z digest=sha256:08222d1bb4938a16915da6b6f323919e693154b1e49596673623fcf38180577a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.027336Z digest=sha256:22ca7cb2d67278147ad3def4f72c6de6549a0ec3a8b98257ac0b62bbcc9359f4

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.029925Z digest=sha256:9facfa5bc24a531448faa87ca62f18f5f19079aa0ec2fc1bc480d9283b801768

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.032469Z digest=sha256:70e91234f325b0a2f8f3293501123c6cf50a16d74dcef56e827be64096aceed9

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.035058Z digest=sha256:b36bb54d42a89bdd090f846c8181b45b01287a11f0c23b55ebd070d8fd14be26

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.037670Z digest=sha256:ef050304b353987d2bdd187ff9a639be0227ceea4cfe49a97517a8869f4f100f

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.040432Z digest=sha256:6e2b96c174989cfd2bc2ed74e686747d35230fae2af64f8105a7dbafbb21b26e

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.043050Z digest=sha256:98a04b4b828a2df1d2ff482e5e2b99fbf52e8048bdedafb2680cc3024f249147

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.045773Z digest=sha256:bfebdb0a8375b3dbb0979e11de8d5082f5ed46fcee6c0a15bce8d6f1b6d96dfd

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:c1d0370eb44288ae7899943d48abe6211fa255c9cc98dea1ef7eba3d9d1ec6f7

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.050696Z digest=sha256:842ea531d1044a48a903d084203ae0ade31f48585b6edc31f95b3b82b054c5f3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.053186Z digest=sha256:144c38561d4c968f229cb520c4cb9e88f23fe694da4b5342a115faa077f3cfe0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.055509Z digest=sha256:6789c0ccd5459084607cb7667973dceea963bc6d30bf0b250a559420a865c81b

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.057749Z digest=sha256:9f8db39d17733a4631bf7a70c297f910015e9f94573b6728c3371160064aef6d

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.060304Z digest=sha256:84f77b4875bd146a6f4a9a429867be2fc5f03fdf244891b29009c74d39217c25

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.062518Z digest=sha256:5540967139390e211231527675af374c2632784141b12ff6c8c038725c5b28d3

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.064915Z digest=sha256:1729adb7a0438806fa14164d775b4b1da56ea6453bb536c29d1d513677ecbdfe

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.067198Z digest=sha256:43feabd39aeb7186dbc9b3315b087d9dad733d2263a4cb262edc7dac23dde86c

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.069492Z digest=sha256:0fe1ab574bcdc88d770040762dee381ae33169dc650d1e77d602f410182791e7

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.071792Z digest=sha256:a160d2d9fbfc70709b78c939a41d223bfaa22c1df163e229016c424221c16b60

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.074241Z digest=sha256:b1979f121a89bf5261492d77f0a14c802cd7f067060b8d8e666664a14b87b521

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.076606Z digest=sha256:90e366673ec5445a03da52f8dfa0cb757284cb4134b053909acbeb1acf447191

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.079317Z digest=sha256:ab12e3122bf3be0aca4f1e713b04cbc7296d4d959aacf125ec9e71024ccd9fa1

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.081622Z digest=sha256:14395954d4d0e8232cae0706cfc9f6c46b16d43ddba136128a3b89419dcb28b0

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.084072Z digest=sha256:3b444659e9d86dae02e0215708afab7a06797bbf4fadd0506fd01b7a9744582a

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.086618Z digest=sha256:fc83cac305f86ba9f78d5196a8cb1fa13f52b17776b7724a9bfc2df542b0aa11

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.089298Z digest=sha256:b6b4b821b746ed7763639bdd2bb069bc7e62b218dae447c109662081c5d866bb

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.091949Z digest=sha256:c8132d4c28b72c84ad7b0c56eac3bb054239407617e9a1d3a085d4b3d7391799

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.094530Z digest=sha256:360db8367d1d9827cc6ca7494c84cc056bd3949eecb53bade3cef4c2fae12232

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.097181Z digest=sha256:7ecd7ea3a42acda1507476dc212ccdef3bd6e632b917729a65b48611f5f42e42

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.100025Z digest=sha256:f0c025a96eab8f2a1cd3a905096b595e9397b9a5481c5dac6b831b01a5d2c6f6

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.102672Z digest=sha256:9a66a4511e85da318f5d3e6971733513553d85f1695790648a4577a64fbc9531

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.105401Z digest=sha256:cb1d806ba6d17f80e22e35b306500d04fa1365e4f90659f521761a09699ca781

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.108099Z digest=sha256:ab6223ef3259c2ee4208146ea66b29688e8d22f6c3e903c4569e7892923e81cc

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.110718Z digest=sha256:ee580d30842b91fe4518927c6d2b4f7c9d1faa0d58c8a28f22839f7bf4e59969

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.113375Z digest=sha256:d7954c467af51aeafe3d534fe387c49dcaf2a05cecfaf4fe3c00c47cfce8cb60

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.116106Z digest=sha256:cc428c8f6ebc33b5ec70c4c5b7eccf094bae7c8696f1c635c17d2eef0a26bbfa

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.118776Z digest=sha256:a84828e4fb3b68e37196c90c93855a4e9a2930a73f7c0a01bb5001101e58fb15

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.121454Z digest=sha256:8b3eae650a83bf3b227b490bfba0caca61a6927f6dd54fbe85870204bb5c6860

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.124077Z digest=sha256:78dc557e31dda4cbcfd88d0aa252e1d20648b854a779beed29cfff892a046177

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-08-05T22:42:15.126668Z digest=sha256:d8474173fffb23bb18e8b2b39804a5d42144810004c4d636f781fa114ceff341

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.