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Paper Citation Record · LEDGER

Active Learning via Regression Beyond Realizability

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2506.00316.

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

pith.paper-citation-record.v1
2506.00316 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:18:06.575751Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T12:00:48.263093Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T07:37:45.297928Z

Reference resolution

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy33
  • unresolved3
  • parse uncertain0
  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ba55c16-0382-4f83-b5b4-4b7f219898c0 · outbound

This paper cites Selective sampling algorithms for cost-sensitive multiclass prediction.

Active Learning via Regression Beyond Realizability Selective sampling algorithms for cost-sensitive multiclass prediction

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 2026-08-20T06:33:59.587034+00:00.

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Observation b9816dc4-f849-4f31-a1af-95b144383231 · outbound

This paper cites Tsybakov.

Active Learning via Regression Beyond Realizability Tsybakov

Reference 2

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:03.179471Z digest=sha256:32811aa5f29bdbebd56110dbb59f68110ae71b6024460e02b1997f908e150312

Observation a8624770-ca65-4b0e-8a5e-4cd1f499c7ef · outbound

This paper cites Agnostic active learning.

Active Learning via Regression Beyond Realizability Agnostic active learning

Reference 3

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:03.276917Z digest=sha256:19947de1ba96eac26f283ea6825e98361e7dbc5e1419ea882b2b060c396bfe8f

Observation aac4c925-676d-4d12-9f37-a9e5ce104c32 · outbound

This paper cites Bartlett, Michael I.

Active Learning via Regression Beyond Realizability Bartlett, Michael I

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:03.350139Z digest=sha256:6841ebeea935f3fa849440d06a6cdbd55144a025fd52fb019b1283238b501402

Observation 8deffe75-0cbe-4d07-b262-37054e20b582 · outbound

This paper cites Bousquet.

Active Learning via Regression Beyond Realizability Bousquet

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:11.673745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:03.461381Z digest=sha256:7586a947db9403718386af5cbeddbb1ba578f4a97cd263e6a349a1f83a576c2e

Observation 61aa5ffa-b457-406a-84e1-ad06729d4694 · outbound

This paper cites Castro and Robert D.

Active Learning via Regression Beyond Realizability Castro and Robert D

Reference 6

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 48873f83-661d-4a31-a46d-16cd007c0bbe · outbound

This paper cites Analysis of a greedy active learning strategy.

Active Learning via Regression Beyond Realizability Analysis of a greedy active learning strategy

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:03.619256Z digest=sha256:7839281aaaddb98bc6495b7c2e900b5fab5721991fae2e95d0432c469df939d9

Observation 668cd6cf-9c76-4b50-b938-5127d9d4dcc2 · outbound

This paper cites Coarse sample complexity bounds for active learning.

Active Learning via Regression Beyond Realizability Coarse sample complexity bounds for active learning

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:11.098624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:03.694009Z digest=sha256:2ad1a627e63489f1df4c3c01798db5fc3d119269f851390550c7c8f8613b6b10

Observation d1191da4-05c5-4ed6-82ee-cfd60b35788a · outbound

This paper cites Foster and Alexander Rakhlin.

Active Learning via Regression Beyond Realizability Foster and Alexander Rakhlin

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:10.953779Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:03.804486Z digest=sha256:6948726e95e63ced29c3e82b632a3a3bc015aecfb80883a440bed32809c8c48c

Observation eb493dc3-12fc-4715-a8aa-9eebf5506600 · outbound

This paper cites Foster and Alexander Rakhlin.

Active Learning via Regression Beyond Realizability Foster and Alexander Rakhlin

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T12:18:03.894791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:18:03.894791Z digest=sha256:abd57ea0eb7fcfddd0ec065f22f3ff0668ba4c8f540fb1fd81dff21a48368abf

Observation 6c617f06-11b1-4ee6-a798-8d03a624b41d · outbound

This paper cites Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective.

Active Learning via Regression Beyond Realizability Instance-Dependent Complexity of Contextual Bandits and Reinforcement Learning: A Disagreement-Based Perspective

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T12:18:04.010120Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:18:04.010120Z digest=sha256:e479aa91056087413677de8647763c4b02aedd2076cb5cd8102d9011966fd330

Observation 57718012-b628-4319-85c1-734cf24d5fcc · outbound

This paper cites Sebastian Seung, Eli Shamir, and Naftali Tishby.

Active Learning via Regression Beyond Realizability Sebastian Seung, Eli Shamir, and Naftali Tishby

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation ac8560e5-cd22-4cac-8137-6ad6691780dc · outbound

This paper cites A bound on the label complexity of agnostic active learning.

Active Learning via Regression Beyond Realizability A bound on the label complexity of agnostic active learning

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 742a0c0d-fda3-4c7f-ac73-563a92fcd6ce · outbound

This paper cites Adaptive rates of convergence in active learning.

Active Learning via Regression Beyond Realizability Adaptive rates of convergence in active learning

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:04.368563Z digest=sha256:ac2c9b61eeed708dd1da3d6c0326c873bf7fd03de975ccb9d40a6c66f1baebfa

Observation 2eee6ec4-0c47-413a-b0d7-4b35897501bd · outbound

This paper cites Rates of convergence in active learning.

Active Learning via Regression Beyond Realizability Rates of convergence in active learning

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:04.458428Z digest=sha256:acc8839a729f3dce5b819a02c9b27d3355e6e5035b0384910061868b95bd81ea

Observation 602c5bbe-11cd-4677-8248-576029fe0394 · outbound

This paper cites Theory of disagreement-based active learning.

Active Learning via Regression Beyond Realizability Theory of disagreement-based active learning

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:04.524318Z digest=sha256:4fe6ae7ee8cbd0d69d6ea201e96cc3209f222b3029c6ebabce59cf952fc6e9c6

Observation ddb33610-bcfe-414b-80b6-f06e8762c24b · outbound

This paper cites Nonparametric active learning, part 1: Smooth regression functions, 2017.

Active Learning via Regression Beyond Realizability Nonparametric active learning, part 1: Smooth regression functions, 2017

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:10.073274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:04.612433Z digest=sha256:30d41101aaf1cf1c82a820a12308d4732177f247b5d4e8d4350c68f11d9f58e4

Observation cc8a08eb-a8cc-4ad6-9746-8b0dcee897d4 · outbound

This paper cites Decision theoretic generalizations of the pac model for neural net and other learning applications.

Active Learning via Regression Beyond Realizability Decision theoretic generalizations of the pac model for neural net and other learning applications

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:04.701726Z digest=sha256:797a9f262e57a2e988fd4e92a57b96cdb8466646c353afe928cf99b9e6008d9f

Observation a647aa80-718f-4544-9b95-6b1d0476a778 · outbound

This paper cites Sphere packing numbers for subsets of the boolean n-cube with bounded vapnik-chervonenkis dimension.

Active Learning via Regression Beyond Realizability Sphere packing numbers for subsets of the boolean n-cube with bounded vapnik-chervonenkis dimension

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 52a67e14-c9f7-4047-8861-23277fb7b073 · outbound

This paper cites an unresolved cited work.

Active Learning via Regression Beyond Realizability Unresolved cited work

Reference 20

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 96a5ec92-50bb-42f0-9e71-4a2849eaffc4 · outbound

This paper cites Minimax analysis of active learning.

Active Learning via Regression Beyond Realizability Minimax analysis of active learning

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:09.447192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation da500060-563b-4a67-b356-15e7cbdedc98 · outbound

This paper cites Surrogate losses in passive and active learning.

Active Learning via Regression Beyond Realizability Surrogate losses in passive and active learning

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:05.057889Z digest=sha256:7e76232b5a46250ebdde0ace18c844edf9cafce7b691f652d72855a4cb3cae6b

Observation c41bbba1-17fc-4ebd-9923-70d0d25ebbb1 · outbound

This paper cites Active learning for cost-sensitive classification, 2021.

Active Learning via Regression Beyond Realizability Active learning for cost-sensitive classification, 2021

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:09.052607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:05.147944Z digest=sha256:a9050e93985e8dda2f64814e72ffee46c0ea00114f5ae4966c8e5aa84246db16

Observation 518b2c75-8df4-4605-a28f-963cbf52508f · outbound

This paper cites Rademacher complexities and bounding the excess risk in active learning.

Active Learning via Regression Beyond Realizability Rademacher complexities and bounding the excess risk in active learning

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:08.886367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:05.266289Z digest=sha256:649edf0128a6db08faba7e846082bcc5bb9e21dbc2f2c40e1d9a04c1e6219821

Observation a31bea91-04b3-4def-9438-5962a610728c · outbound

This paper cites Nuances in margin conditions determine gains in active learning, 2022.

Active Learning via Regression Beyond Realizability Nuances in margin conditions determine gains in active learning, 2022

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:08.738210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

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Observation 087034f8-78b5-4106-aa58-fbd4fcb630ef · outbound

This paper cites Active learning in the non-realizable case.

Active Learning via Regression Beyond Realizability Active learning in the non-realizable case

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:08.599379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:05.460357Z digest=sha256:4b808952991deeef4e627c33299835bbc402ab5ea8d0d1add4dfe29bc4c6f836

Observation c08d3257-5c78-4705-bb28-2a42b49a7ffb · outbound

This paper cites Bartlett, and Robert C.

Active Learning via Regression Beyond Realizability Bartlett, and Robert C

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:08.388044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:05.532619Z digest=sha256:89b7bd9eb93377bff7b4df631b4f3501d7ad7c71db5bc98afcce316a206e8661

Observation 4e02387d-95ff-4c54-98e9-adc23fb5e8bb · outbound

This paper cites Adaptivity to noise parameters in nonparametric active learning, 2017.

Active Learning via Regression Beyond Realizability Adaptivity to noise parameters in nonparametric active learning, 2017

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:08.215994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:05.652109Z digest=sha256:336b7aae0061bc15cc6f7368dfa69f29fe0eb650f2f2a2868a9742f4c8a51fbc

Observation 8d68d2af-8925-4d60-ba52-d2a5ea796e79 · outbound

This paper cites Learning with square loss: Localization through offset rademacher complexity.

Active Learning via Regression Beyond Realizability Learning with square loss: Localization through offset rademacher complexity

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:08.039639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:05.810994Z digest=sha256:14b8191f34380ba49db15380a702f4255d99261d1bbfd3574b7032242767c3d0

Observation f6e4d801-c6ec-4e0b-b671-d795c0f74199 · outbound

This paper cites Plug-in approach to active learning.

Active Learning via Regression Beyond Realizability Plug-in approach to active learning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:07.854934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:05.926182Z digest=sha256:2603a1e3ee2c143e43b9021c2393f7118203623c42bf73c0e8168bc86e9ad9da

Observation c6512067-45de-497e-b244-c2f20b36dda2 · outbound

This paper cites Risk bounds for statistical learning.

Active Learning via Regression Beyond Realizability Risk bounds for statistical learning

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:07.678890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:06.047799Z digest=sha256:426e725fa4b7023584b1b815d09774a4fed89e2dfc53ab5c958bc1dbd6574249

Observation 658979c8-cca5-4d59-a422-8651822b854d · outbound

This paper cites Convergence of Stochastic Processes.

Active Learning via Regression Beyond Realizability Convergence of Stochastic Processes

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:07.479634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:06.174360Z digest=sha256:4c0b1523b46177656d9f4742c877719241695026696f59f743ed66974fce1e77

Observation c4c16ea4-7994-4995-9192-850efcde7031 · outbound

This paper cites Tsybakov.

Active Learning via Regression Beyond Realizability Tsybakov

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:07.317072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:06.298490Z digest=sha256:015a1397698307444cc6b773949d81caf44a4e80a5cae9c6bcc25489139c156c

Observation 0686cb2a-f3fe-457d-9158-649641567090 · outbound

This paper cites Selective sampling and imitation learning via online regression.

Active Learning via Regression Beyond Realizability Selective sampling and imitation learning via online regression

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:07.130431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:06.406194Z digest=sha256:1e620b1b1c637505325b80b6bcef728ae88683ccd2797f0c6063fd75a27fa713

Observation 80b2a43e-0c10-410a-9bfe-89dd25d42449 · outbound

This paper cites Tsybakov.

Active Learning via Regression Beyond Realizability Tsybakov

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:06.963762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:06.499231Z digest=sha256:f7eb854b8a7868b22c61ac7225a7bf083ba486c24f074c4c382686b56b03842d

Observation 5d73e4e2-522f-4ee7-be8c-c7421deb44c5 · outbound

This paper cites Efficient active learning with abstention, 2022.

Active Learning via Regression Beyond Realizability Efficient active learning with abstention, 2022

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:18:06.788696Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-07T12:18:06.575751Z digest=sha256:fd8dcd87e6854b42b7483218bad04d7a1f3ff4b729796f756732b7405da07922

Pith citing papers

Observation 8877db2d-f986-46b4-83b5-92b15eb3d65b · inbound

Near-Exponential Convergence Rates for kNN Classification based on Boltzmann Margin cites this paper.

Near-Exponential Convergence Rates for kNN Classification based on Boltzmann Margin Active Learning via Regression Beyond Realizability

Reference 58

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arxiv_id, observed 2026-07-03T07:37:45.299168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-27T12:00:48.263093Z digest=sha256:9b0805dd10e0e6f626f6b1b51ab1d11a1ff6dfc0c96c3a552ce78a63764faed3