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Paper Citation Record · LEDGER

Quantum Learning with Tunable Loss Functions

As of 7 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations for arXiv:2508.21369.

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

pith.paper-citation-record.v1
2508.21369 v1

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:25:35.923966Z

measured 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

71 of 71 outbound references displayed

  • verified exact9
  • verified fuzzy28
  • unresolved34
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ebe307b1-b680-4aad-b9c8-b629b3975481 · outbound

This paper cites Valiant, A theory of the learnable, Communications of the ACM 27, 1134 (1984).

Quantum Learning with Tunable Loss Functions Valiant, A theory of the learnable, Communications of the ACM 27, 1134 (1984)

Reference 1

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source=pdf_text observed=2026-08-05T14:25:33.449153Z digest=sha256:65c92a7853ca60048e26678a1412165d238337b44ab7eb6a2a4dae6fb329f7f7

Observation cc7e0856-1a4c-4b72-945b-f6b372cf385a · outbound

This paper cites Kearns and U.

Quantum Learning with Tunable Loss Functions Kearns and U

Reference 2

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source=pdf_text observed=2026-08-05T14:25:33.510250Z digest=sha256:03de5e089de0dca83da1089f383f381bc0b01978cda1dddda80534b2b211279a

Observation 8baa9c11-45cf-47be-ab73-893368504c0c · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-05T14:25:33.607902Z digest=sha256:e8bed91ac45641243e46eca48bb8b07507377afd0096686b1d1d1eec610a5ca6

Observation 494801e1-daff-46a9-9092-866102e2bc51 · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-05T14:25:33.691339Z digest=sha256:fb34012fb3945365f665e745e11e7308b1aecac3f2aa0fa3057bf58cada0257a

Observation 193d161c-dc4b-4ee1-8b99-5a24dd72a74b · outbound

This paper cites Goodfellow, Y.

Quantum Learning with Tunable Loss Functions Goodfellow, Y

Reference 5

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source=pdf_text observed=2026-08-05T14:25:33.787540Z digest=sha256:700a23fd5135eba56dcc0d5775da996ad133f8f321a20124ed237762fb764e20

Observation d31a3ec6-179d-4d76-b89b-f676afc6697d · outbound

This paper cites LeCun, Y.

Quantum Learning with Tunable Loss Functions LeCun, Y

Reference 6

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source=pdf_text observed=2026-08-05T14:25:33.876212Z digest=sha256:80568dc946b744426539a5c2be7184d6d8168c747ae37d9df3e98f908e7a1833

Observation d622bcf6-939e-4354-9272-deb4cbca281b · outbound

This paper cites Tilted Empirical Risk Minimization.

Quantum Learning with Tunable Loss Functions Tilted Empirical Risk Minimization

Reference 7

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source=pdf_text observed=2026-08-05T14:25:33.952516Z digest=sha256:c26c8076835b6bceb3f71bd3bf248066418deb1fa5dc856fad0d5cfc42b6161c

Observation 9c91ad1e-fbc1-4efe-b0a4-656a2749f2dc · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-05T14:25:34.033299Z digest=sha256:92b221c5eb990db278f12313cb19f8cf2426cf8da263e4a701881bc07f07171c

Observation 1c4c855c-df5b-4a9a-b579-03ec33001898 · outbound

This paper cites Siegmund, Importance sampling in the monte carlo study of sequential tests, The Annals of Statistics , 673 (1976).

Quantum Learning with Tunable Loss Functions Siegmund, Importance sampling in the monte carlo study of sequential tests, The Annals of Statistics , 673 (1976)

Reference 9

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source=pdf_text observed=2026-08-05T14:25:34.138934Z digest=sha256:003ea9e27c6d4a0dc10800deb10e77a5d8795b51e6828d951524c6bf42321d46

Observation 30371659-0497-4eca-83e3-576ae635eee7 · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-05T14:25:34.226845Z digest=sha256:a455d5cb8030587e569d9d5ca4459150254ded2871f716a1a39af7ca6e842f54

Observation 20304440-906a-431e-ab83-1f59b43c20e6 · outbound

This paper cites Thomas and A.

Quantum Learning with Tunable Loss Functions Thomas and A

Reference 11

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source=pdf_text observed=2026-08-05T14:25:34.350592Z digest=sha256:fa5004907fb0f9e361261fa7e17052dd17f140c6a32d7fc04f4e1a718fb52f8b

Observation e0415771-db95-4fa3-af90-d9ea1ba8516e · outbound

This paper cites Dembo, Large deviations techniques and applications (Springer, 2009).

Quantum Learning with Tunable Loss Functions Dembo, Large deviations techniques and applications (Springer, 2009)

Reference 12

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source=pdf_text observed=2026-08-05T14:25:34.475915Z digest=sha256:fcc529e35f212def24b024f79de0174bf34ea43a94e8c50fa57b667cee9062fd

Observation 8147be0a-bcd7-493c-a890-d6e5615cc8fc · outbound

This paper cites Generalization and Robustness of the Tilted Empirical Risk.

Quantum Learning with Tunable Loss Functions Generalization and Robustness of the Tilted Empirical Risk

Reference 13

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local_arxiv, observed 2026-08-05T14:25:36.712414Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:34.616284Z digest=sha256:6b381ba96851091d301a00e62b2cfdef1d5934ecdabf33408c35aa43d51bb909

Observation f96776b4-9007-4f4d-9ef0-1cff63f4758b · outbound

This paper cites On the Origin of Implicit Regularization in Stochastic Gradient Descent.

Quantum Learning with Tunable Loss Functions On the Origin of Implicit Regularization in Stochastic Gradient Descent

Reference 14

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Source-reported events for the cited work

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source=pdf_text observed=2026-08-05T14:25:34.749658Z digest=sha256:3fc501b8d35241466f4aec1bd18e63af94153f7008c57d0831b706bcbdc0c230

Observation aa4f15f4-cd7c-4e01-9ccf-cdd06b789721 · outbound

This paper cites Bauer, S.

Quantum Learning with Tunable Loss Functions Bauer, S

Reference 15

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source=pdf_text observed=2026-08-05T14:25:34.922262Z digest=sha256:a77c4a2006d88eba9c5e4c5c67f64e36d202d097d8a2d08c5d9210ff6c3ac613

Observation 3582055d-5182-4602-975d-6ce7809a5ae4 · outbound

This paper cites Elastic-Net Regularization in Learning Theory.

Quantum Learning with Tunable Loss Functions Elastic-Net Regularization in Learning Theory

Reference 16

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local_arxiv, observed 2026-08-05T14:25:36.668035Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.045357Z digest=sha256:9519fabab43fbb29e2caa2f6393a0d59c9ff82045e6eee8fc148a91f2f647cad

Observation 1685516c-91ce-42b8-8178-ad06f778392c · outbound

This paper cites Schuld and F.

Quantum Learning with Tunable Loss Functions Schuld and F

Reference 17

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.155041Z digest=sha256:b43a75f9b9d215acb1e93c18880d796d1f4cc472f178ff3dcbe42b9b76a7684e

Observation 4f32af85-10e0-4e15-a631-0fc868684fd4 · outbound

This paper cites Biamonte, P.

Quantum Learning with Tunable Loss Functions Biamonte, P

Reference 18

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source=pdf_text observed=2026-08-05T14:25:35.245827Z digest=sha256:9f16a45727c4931669749c755166d33b2a053798d5ab824bc35e65f3ee150ffb

Observation 211fe793-c369-413b-b6fc-715ddc6b1145 · outbound

This paper cites Rebentrost, M.

Quantum Learning with Tunable Loss Functions Rebentrost, M

Reference 19

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source=pdf_text observed=2026-08-05T14:25:35.329694Z digest=sha256:eb791854bcc0b81d74df6dd6e4e84cb57c6dc8b15795ec2d64bd9f56e06937c3

Observation 55218d80-f1d2-4983-98ef-44f8f8e85674 · outbound

This paper cites Schuld, A.

Quantum Learning with Tunable Loss Functions Schuld, A

Reference 20

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source=pdf_text observed=2026-08-05T14:25:35.422906Z digest=sha256:49346d613fcd1a40d1a9d981ded4e45849ebe639fefd2d357976af64f0f890c9

Observation 9eb88a09-9157-4dae-84f0-ca0c53b38cae · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-05T14:25:35.535068Z digest=sha256:a00552913ef1b79aa6306332a243803ca71019b3a57089a87c13e4bb96208042

Observation 010bc445-a3d9-4f7e-9af6-48c6fbabcb9e · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 22

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source=pdf_text observed=2026-08-05T14:25:35.610378Z digest=sha256:fecba2f6f568dc72dd72e394bb08b29a2644232d43bfa0e634c643e69868e77d

Observation 2fffda44-be12-431d-a8b9-77539f3d8db7 · outbound

This paper cites Montanaro, Quantum algorithms: an overview, npj Quantum Information 2, 10.1038/npjqi.2015.23 (2016).

Quantum Learning with Tunable Loss Functions Montanaro, Quantum algorithms: an overview, npj Quantum Information 2, 10.1038/npjqi.2015.23 (2016)

Reference 23

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source=pdf_text observed=2026-08-05T14:25:35.655021Z digest=sha256:1cb131bb638af5a4097f01c66bb57f16b70e7cbb9b44c8b53833b58d7e8006fa

Observation e4cbae95-c739-41a3-8cb5-84cb0a81b4ec · outbound

This paper cites Preskill, Quantum computing in the nisq era and beyond, Quantum 2, 79 (2018).

Quantum Learning with Tunable Loss Functions Preskill, Quantum computing in the nisq era and beyond, Quantum 2, 79 (2018)

Reference 24

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source=pdf_text observed=2026-08-05T14:25:35.660334Z digest=sha256:9f3c4e8d7acbb7929dffd8d13524475f3687496e608d638cf667e485a8c2dac0

Observation 5ef94d79-568e-4e97-98c8-186a0ffdb048 · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-05T14:25:35.667659Z digest=sha256:b34e99a1478b69842ee247ce2c6b267926f606a9e92c55609af96602e66904c8

Observation bbaa7d74-8718-4b2e-8821-b44c777672d7 · outbound

This paper cites Cerezo, A.

Quantum Learning with Tunable Loss Functions Cerezo, A

Reference 26

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source=pdf_text observed=2026-08-05T14:25:35.673564Z digest=sha256:961b3ba1e60d4cd2ce94b33b18dc123c65228158846ae5fa80682db3d204da0c

Observation 0689929d-9908-44d1-81af-286f397372e1 · outbound

This paper cites Benedetti, E.

Quantum Learning with Tunable Loss Functions Benedetti, E

Reference 27

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.678989Z digest=sha256:b590a2d096f7811ff66f28b25e1e186cabda4bc4103b2ccc3f8ae53327309654

Observation 43536bba-fe6f-47d8-9590-7029bf75e1ed · outbound

This paper cites Gily´ en, Y.

Quantum Learning with Tunable Loss Functions Gily´ en, Y

Reference 28

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source=pdf_text observed=2026-08-05T14:25:35.683697Z digest=sha256:2db5f2fe5d104a828d3da87bd04f4341583099ab770dcccc2eb24807c768832c

Observation 3b4e5d02-1e62-45e5-ab1b-4d4ae1a256e9 · outbound

This paper cites QKAN: quantum Kolmogorov-Arnold networks with applications in machine learning and multivariate state preparation.

Quantum Learning with Tunable Loss Functions QKAN: quantum Kolmogorov-Arnold networks with applications in machine learning and multivariate state preparation

Reference 29

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source=pdf_text observed=2026-08-05T14:25:35.688644Z digest=sha256:8704fe22f584132a68bb5e24a92caeafd4d6378163608d792f28a892347062f1

Observation 61cf6b73-d7d3-4ddc-bcfb-7f2ad46ab36b · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 30

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source=pdf_text observed=2026-08-05T14:25:35.697424Z digest=sha256:d3ec93728e40f8d49696a77e5fce46fcfdfd66403e3a6a10845f4b28fa7e84ab

Observation 4d193342-36e4-4117-9839-c83d8f6b9783 · outbound

This paper cites Fanizza, Y.

Quantum Learning with Tunable Loss Functions Fanizza, Y

Reference 31

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source=pdf_text observed=2026-08-05T14:25:35.702369Z digest=sha256:0e16b3ccb578f2e1cfb769c820d1f3ad9966e8cccf0dabef367c5e6f03e2b195

Observation 9dd46043-93bc-496c-8f22-e3af8fa889c1 · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 32

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.708534Z digest=sha256:b8c2df7f2725fa888d0af2a470274a5b9627b30e47927a90f50a9a109a86c3a4

Observation 94961d2f-65f2-4e46-94ac-1810abfa4dc7 · outbound

This paper cites Gyurik, D.

Quantum Learning with Tunable Loss Functions Gyurik, D

Reference 33

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.714110Z digest=sha256:439ca7da870e3cf649a21dbc6ce2cc096f7bce7094d9eb37992efadfb28a6abf

Observation 775598ad-80d0-4c9f-953e-aadf81ff0a97 · outbound

This paper cites A Theoretical Framework for Learning from Quantum Data.

Quantum Learning with Tunable Loss Functions A Theoretical Framework for Learning from Quantum Data

Reference 34

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local_arxiv, observed 2026-08-05T14:25:36.509592Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.720692Z digest=sha256:19613657f84cbbd0475b4962ba8a7ddf1f7bd83a5b7dbd68c717dd6524f5c0d3

Observation beeb5f01-a281-4071-aae9-bb1ca5daa7be · outbound

This paper cites Padakandla and A.

Quantum Learning with Tunable Loss Functions Padakandla and A

Reference 35

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.727199Z digest=sha256:0e2975d30e139ef1018ec8c52f4a5417bda984765b5c02dfdff62bb53d871749

Observation 23416351-b332-469e-b379-91ebc9e91888 · outbound

This paper cites Heidari and W.

Quantum Learning with Tunable Loss Functions Heidari and W

Reference 36

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source=pdf_text observed=2026-08-05T14:25:35.733266Z digest=sha256:4d2de124a6034cd15c156ad785ed8a496dd69e0bf95774d8f6fa9d15a9a0261f

Observation 49e0bb2c-cce3-4d71-ae15-3649617262fa · outbound

This paper cites Ciliberto, A.

Quantum Learning with Tunable Loss Functions Ciliberto, A

Reference 37

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doi, observed 2026-08-05T14:25:36.037514Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.739647Z digest=sha256:6b889aab1a46d0f7501f8279f5adfe8ede03e8ba1de2aa64ee029b26b9093ba4

Observation bddcb7a3-ba50-4cd4-869e-e9dc44d6614b · outbound

This paper cites Arunachalam and R.

Quantum Learning with Tunable Loss Functions Arunachalam and R

Reference 38

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.747864Z digest=sha256:b0989b354cbb02debbd3b4f7a50c24929fdb36f666856a020069325438dd99ef

Observation 60ea8d71-bf2c-4142-8c10-090484e57183 · outbound

This paper cites Provable Advantage in Quantum PAC Learning.

Quantum Learning with Tunable Loss Functions Provable Advantage in Quantum PAC Learning

Reference 39

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unresolved
no resolver link, observed 2026-08-05T14:25:35.754309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:25:35.754309Z digest=sha256:5e7ad522cbe9c72d044b148f64ec2f173f7d5ac14dd78f83578983a8d5a08ed8

Observation 5f34225e-48ee-4113-8d6c-6f2513159c8e · outbound

This paper cites Proper vs Improper Quantum PAC learning.

Quantum Learning with Tunable Loss Functions Proper vs Improper Quantum PAC learning

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:25:36.464344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.759402Z digest=sha256:3529ef5a34ec58526f206159057ce2e33ee02e7d826d065080bf133863dd9a7e

Observation bb0201a4-3a01-4c6c-88bf-cdb2573dee8b · outbound

This paper cites Chung and H.-H.

Quantum Learning with Tunable Loss Functions Chung and H.-H

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:25:37.119797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.765592Z digest=sha256:4caecbf71c03f20db9a2cb247b7aeb031ea29b226856ba856523e67640c948ee

Observation 831cfe9c-4152-4e0e-9269-ed6326dd2de3 · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:25:37.102130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.772188Z digest=sha256:a3010a376437ab2266745e1d9eb37a91ff7224cea289248ae19ac1f6e6d03b94

Observation 211d488d-caf7-4f45-b4e2-4a22d764bdd4 · outbound

This paper cites Effective dimension of machine learning models.

Quantum Learning with Tunable Loss Functions Effective dimension of machine learning models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T14:25:35.778978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:25:35.778978Z digest=sha256:21189b65e1b472c22b09ca4f288c2ea67a0142e663a3685ea37add680204eae5

Observation 13b2e082-fb82-407e-8192-91d364f7d670 · outbound

This paper cites Gil-Fuster, J.

Quantum Learning with Tunable Loss Functions Gil-Fuster, J

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:25:37.083515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.784230Z digest=sha256:a9905810f915af2e3a11bb31bb8795d2c66883f6de4c98cfac0c554970c08537

Observation 7d34486a-f440-4f09-bcc4-179725a116bc · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:25:37.067192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.790180Z digest=sha256:448f8ab834991a0ae9d65a7d4f7747aabf38616479894781c7c33987fc292300

Observation 87638b1d-1e91-46c8-8d8f-963a06d0c389 · outbound

This paper cites Arunachalam and R.

Quantum Learning with Tunable Loss Functions Arunachalam and R

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:25:37.050808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.796713Z digest=sha256:54bb3df4fdc4186b0bd55f2e4f5ecbfe635004dd59524228255dce00cc9db5b6

Observation c263a3b4-9884-4c22-a4c1-7c6240423a4a · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:25:37.031705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.802608Z digest=sha256:6921cbe18dafbba92f20a69ebd392a22cb8c64b83fbb3dac94f5bd298cdfed81

Observation 4dc6a52c-a583-4099-bc2d-bee9640778e5 · outbound

This paper cites Anthony and P.

Quantum Learning with Tunable Loss Functions Anthony and P

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:25:37.010426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.807811Z digest=sha256:ab09d447944919ae52eb2bd6a7210d3cd2fab97172aa2a6abb221ca632e547e4

Observation 347d353b-db5d-401b-800c-e5e98bf98d8e · outbound

This paper cites B˘ adescu and R.

Quantum Learning with Tunable Loss Functions B˘ adescu and R

Reference 49

Resolution
verified exact
doi, observed 2026-08-05T14:25:36.009764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.812510Z digest=sha256:5ab178702eee7341e330c37a45f34689eb6bad4f1b01c0303b4968ecbf3961d9

Observation e2f36200-4248-4f9a-b774-079353ad68a1 · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:25:36.989794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.818617Z digest=sha256:ba82821dab387e1774705ff4367ac63d30dcd637242e41a65d0a330d1666fd1a

Observation 051a8819-a4a5-4b44-9ab9-2b40110ec78d · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:25:36.967442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.824166Z digest=sha256:3458514d47fe978841c80ff4dd01ae9734bd94449701f2855e54ae88822ab1e6

Observation 8b893451-b72a-46fe-9871-b140eb4dff4e · outbound

This paper cites Esscher, On the probability function in the collective theory of risk, Skandinavisk Aktuarietidskrift 15, 175 (1932).

Quantum Learning with Tunable Loss Functions Esscher, On the probability function in the collective theory of risk, Skandinavisk Aktuarietidskrift 15, 175 (1932)

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:25:36.947311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.829264Z digest=sha256:c5c4243becf17e06e1ce8d72f3c0786e9896a24a37e5bc7b4e8a47a5c4f5f8ab

Observation ac6940e5-b1db-483e-8a7d-367e5f3cab32 · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:25:36.925311Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.833716Z digest=sha256:b57108a704fa29ad6e17af196e8852b0299e2fefa4f98001998a05ea8acfe9af

Observation 7c3102f0-42e2-4088-b854-8d96d3a38538 · outbound

This paper cites The Quantum Esscher Transform.

Quantum Learning with Tunable Loss Functions The Quantum Esscher Transform

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T14:25:35.838300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:25:35.838300Z digest=sha256:ccbd39be39e9fa71b6d62c98e7147a87512593f1a1eb29d3410497d8d93ae15b

Observation 12032dc5-a74c-46a9-a113-f35fd3928c19 · outbound

This paper cites Learning quantum Hamiltonians at any temperature in polynomial time.

Quantum Learning with Tunable Loss Functions Learning quantum Hamiltonians at any temperature in polynomial time

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-05T14:25:35.842671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:25:35.842671Z digest=sha256:ef23032715f31a7b1f9170690f842b6fd45e886d694b0cc01dbe94b7f628aabf

Observation 267dc5d4-960b-403e-a4ff-646ede3fe4f4 · outbound

This paper cites Anshu, S.

Quantum Learning with Tunable Loss Functions Anshu, S

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:25:36.902904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.847028Z digest=sha256:505c8e8d4811abea458514282bf67520235801445bdcd7915c4b0f9fa3070c74

Observation cf53fd17-8058-4a5c-88a0-617db999bcf6 · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:25:36.884661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.851058Z digest=sha256:2c0f78f81f2c0fa36bf76ec3091450ef9f48c58ed593311cd36396bd4b90fdea

Observation 11bc9acc-2522-4f1f-a9e2-e1225b3922aa · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:25:36.867136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.855202Z digest=sha256:3cd1d189f4ab051011bb5e8ca6d2ba1a2cd38b390b3f542c8288d65cebf72cba

Observation 3056a819-23e7-465d-8563-18bb60f32e11 · outbound

This paper cites Quantum Algorithms and Lower Bounds for Linear Regression with Norm Constraints.

Quantum Learning with Tunable Loss Functions Quantum Algorithms and Lower Bounds for Linear Regression with Norm Constraints

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:25:36.368294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.859534Z digest=sha256:5a5cc3f2bb98dc133e24820bb53663bcb6d36feb3b80f523c4ab2ca4fc511303

Observation 12803e83-77e5-45a4-86d8-38b7b883a12b · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:25:36.850946Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.863998Z digest=sha256:fb9e27ba21b7626c06c179dcd81e3b030b726aa8bac1d791c05d7dddeb44eabb

Observation fb032a82-1a5f-4c63-8aec-92cecf4cc78d · outbound

This paper cites Chakraborty, A.

Quantum Learning with Tunable Loss Functions Chakraborty, A

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:25:36.825379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.868475Z digest=sha256:e74d2d26934d71a9dba29f778144bdfaf9275e6e51e21b2bbc7bc0d844e3dd4c

Observation e7617c7a-88f8-4efb-8c7c-73635bb5d2a0 · outbound

This paper cites Aminian, A.

Quantum Learning with Tunable Loss Functions Aminian, A

Reference 62

Resolution
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raw_fallback, observed 2026-08-05T14:25:36.807882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.872928Z digest=sha256:5f92f4e6d980a5971ed04d81d7101c2ecdb1fd1b1c324d6b75af6f63c22bf836

Observation c3212708-1faa-41ca-a7ae-bbdea6a83aef · outbound

This paper cites Mitarai, M.

Quantum Learning with Tunable Loss Functions Mitarai, M

Reference 63

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unresolved
no resolver link, observed 2026-08-05T14:25:35.878028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:25:35.878028Z digest=sha256:a08e4216069c72a5d587812645b4f552bc622d4a5d02e090e46612834a618fc0

Observation 80eabf27-b8c4-4a1d-9f9a-db9192fb5989 · outbound

This paper cites Schuld, V.

Quantum Learning with Tunable Loss Functions Schuld, V

Reference 64

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unresolved
no resolver link, observed 2026-08-05T14:25:35.882557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:25:35.882557Z digest=sha256:3e7fab41c674b316e30fa46150893783fa5868c3ce13ac223c97fdd7126474c0

Observation b8fdafe5-70cd-462f-ae95-ce997c03383e · outbound

This paper cites Wierichs, J.

Quantum Learning with Tunable Loss Functions Wierichs, J

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:25:36.774567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.887792Z digest=sha256:17defc47047b13106f98103450c5ce6f3c80d23d47f76ccdcb8957d9fd794c0a

Observation 6c8ffaf1-4739-44ee-9f2a-6e6d26113cb5 · outbound

This paper cites an unresolved cited work.

Quantum Learning with Tunable Loss Functions Unresolved cited work

Reference 66

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unresolved
no resolver link, observed 2026-08-05T14:25:35.894694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:25:35.894694Z digest=sha256:61027ef4d1d4280215de55056bd394b34706b40363cbe17db1b13c45dcf56239

Observation 85e7138f-2f69-4219-8822-712dba08d751 · outbound

This paper cites On quantum backpropagation, information reuse, and cheating measurement collapse.

Quantum Learning with Tunable Loss Functions On quantum backpropagation, information reuse, and cheating measurement collapse

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-05T14:25:35.901105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:25:35.901105Z digest=sha256:6dbf599cc07f8dba41199b63e846c19b49217d81c1d6667c9a517aa5a881af17

Observation 55412c8f-f406-4cf2-840b-8580fc47c2f6 · outbound

This paper cites Hur and D.

Quantum Learning with Tunable Loss Functions Hur and D

Reference 68

Resolution
verified exact
raw_fallback, observed 2026-08-05T14:25:36.315916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.906576Z digest=sha256:8f2c8eaf7a65036d7e160bf81ac47104353e648402815770744e0aa50199c974

Observation 40bf1403-56ad-4c39-8183-74013a4d76b0 · outbound

This paper cites A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks.

Quantum Learning with Tunable Loss Functions A PAC-Bayesian Approach to Spectrally-Normalized Margin Bounds for Neural Networks

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-05T14:25:35.912237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:25:35.912237Z digest=sha256:f9381a0ddf2b14cd59dfcd0944b31af3999d749b7e53689a5809a945f38a3e0d

Observation c8825069-0b7f-4c95-b649-0832a24c3155 · outbound

This paper cites Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin Bound.

Quantum Learning with Tunable Loss Functions Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin Bound

Reference 70

Resolution
verified exact
local_arxiv, observed 2026-08-05T14:25:36.092787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.918939Z digest=sha256:8d977d8400b809e731418b7d7eb3555f435114991eb57faf85c7262c6923ebf4

Observation 1c8aba8e-6585-40a5-bd91-004d41f02d21 · outbound

This paper cites Bousquet and A.

Quantum Learning with Tunable Loss Functions Bousquet and A

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:25:36.746345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-05T14:25:35.923966Z digest=sha256:a854f7b547ce47acf4da56af52ad9a4112f7d940f9e11307fc753b7dea11fac3

Pith citing papers

No inbound Pith citation observations are available.