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Paper Citation Record · LEDGER

Learning Pure Quantum States in Any Dimension (Almost) Without Regret

As of 12 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2605.09019.

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

pith.paper-citation-record.v1
2605.09019 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-12T01:54:10.139060Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

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

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

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  • verified fuzzy16
  • unresolved1
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  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 989b9455-dc5b-47a0-92b4-97d70f50ef2a · outbound

This paper cites no residual drift.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret no residual drift

Reference 1

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verified fuzzy
raw_fallback, observed 2026-05-13T00:46:59.384411Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:356c70c08fe11ddde0f3382e2cb296dc6fa8e1f763174ec0b7a180806a1a6b02

Observation 25104cb4-5f55-4810-855d-513c4a7af11d · outbound

This paper cites To describe this, we start by fixing the epochm∈[M] with its base stateC m.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret To describe this, we start by fixing the epochm∈[M] with its base stateC m

Reference 2

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Source-reported events for the cited work

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

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Observation 1c13179d-dcd1-4b6d-9f3f-4ee16191c076 · outbound

This paper cites TmX s=1 dtanX i=1 ω2 m ε(j) m,s,i 2 ⟨G, Om,s,i⟩2 Hm # =E.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret TmX s=1 dtanX i=1 ω2 m ε(j) m,s,i 2 ⟨G, Om,s,i⟩2 Hm # =E

Reference 3

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Source-reported events for the cited work

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

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Observation b2241610-6d35-4ccd-b8db-049302e7f0e1 · outbound

This paper cites The algorithm freezes the base stateC m during each epoch, performs all linear estimation in the tangent spaceT CmM, and carries only the scalar precision µm to the next epoch.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret The algorithm freezes the base stateC m during each epoch, performs all linear estimation in the tangent spaceT CmM, and carries only the scalar precision µm to the next epoch

Reference 4

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verified fuzzy
raw_fallback, observed 2026-05-13T00:46:59.377571Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:28d04cec1adcd53420a679ac2d76281bc91451f48389ef3be150b1df050cf91c

Observation bbadae58-eb72-4e9f-b3ba-55006c8a00e4 · outbound

This paper cites Given a tangent estimator ˆ∆∈T CM, define ˆV:= ˆ∆ ∥ ˆ∆∥F whenever ˆ∆̸= 0, and use the convention thatC new =Cif ˆ∆ = 0.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret Given a tangent estimator ˆ∆∈T CM, define ˆV:= ˆ∆ ∥ ˆ∆∥F whenever ˆ∆̸= 0, and use the convention thatC new =Cif ˆ∆ = 0

Reference 5

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

source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:206efb7661d124360546ea530b05313e7c45252d1cd5b066fc01a184c5a2aa00

Observation 8741aab0-ad21-456b-bc71-e9ec84e6cd06 · outbound

This paper cites Combining all bounds gives ∥dCnew∥F ∥H∥ F ≤L(x) := 1 + 2x W + 2 √ 2x3 W(1 +W) 2 + 2 √ 2x 1 +W .(162) On the intervalx∈[0, p 3/8], we haveW(x) = √ 1−2x 2 ≥1/2.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret Combining all bounds gives ∥dCnew∥F ∥H∥ F ≤L(x) := 1 + 2x W + 2 √ 2x3 W(1 +W) 2 + 2 √ 2x 1 +W .(162) On the intervalx∈[0, p 3/8], we haveW(x) = √ 1−2x 2 ≥1/2

Reference 6

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Source-reported events for the cited work

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

source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:2698645525eee5e4c60eb754b9d39de39629f01dec68ac4f2b1a1be7a1b67a14

Observation 5af8f01c-48d8-47c0-b5f1-2c47142dbb8d · outbound

This paper cites an unresolved cited work.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret Unresolved cited work

Reference 7

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Source-reported events for the cited work

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

source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:e33f7ee6c5c7bcf6f54044c29e4aab66924dd467ee0ad8cd8bfa69e57511b624

Observation 3f4d4df2-4bf7-497a-8ca9-cc940d82b713 · outbound

This paper cites Improved Algorithms for Linear Stochastic Bandits.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret Improved Algorithms for Linear Stochastic Bandits

Reference 8

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source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:6711e5032200b22ad8e8fcf4c7d232501cc242d2d1cb74f0097c496e5da180bf

Observation 081e9122-412e-44b6-9743-f227f56568cb · outbound

This paper cites Absil, R.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret Absil, R

Reference 9

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source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:a47f10b5b09d7c5870f1a3b0a1828db1f010a9aa04b6920c0a00b1b1faab7d3a

Observation 7fe02a79-a74f-4f2f-a658-1890bbaf9546 · outbound

This paper cites Bengtsson and K.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret Bengtsson and K

Reference 10

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

source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:acdbd22ac2c3664e812c9773418dcf7c60b47c7192c5a5415674b5ed285a79b9

Observation ea427f4b-2901-4f7e-9fb9-c363b7e5e0e5 · outbound

This paper cites When Does Adaptivity Help for Quantum State Learning?.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret When Does Adaptivity Help for Quantum State Learning?

Reference 11

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

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Observation 9fc1b5ef-de3e-48f7-a739-f9dd696ce94d · outbound

This paper cites Stochastic Linear Optimization under Bandit Feedback.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret Stochastic Linear Optimization under Bandit Feedback

Reference 12

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

source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:fc0f909a5c15f3665c04f45de26898361381897771e6ab7355f222e9e73f80a8

Observation 3f8cb6ff-ef13-43d3-8714-4429e5e1ab0e · outbound

This paper cites Fast state tomography with optimal error bounds.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret Fast state tomography with optimal error bounds

Reference 13

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

source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:ee4f9db0a5685874eb1e848ffb8f5894aa4271ea7429db502c21276bfd3007e6

Observation f2e713e6-43b9-4fa4-8b31-c38727b8cf33 · outbound

This paper cites Low rank matrix recovery from rank one measurements.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret Low rank matrix recovery from rank one measurements

Reference 14

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

source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:1c4a5207cd96bd175d25ba81318560f6f1627e3f5e748343eb83b45720625b91

Observation 4330f6d7-9066-4a64-a607-620de2858e3d · outbound

This paper cites Multi-armed quantum bandits: Exploration versus exploitation when learning properties of quantum states.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret Multi-armed quantum bandits: Exploration versus exploitation when learning properties of quantum states

Reference 15

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source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:f95ecc7b85b130decc132a5d87fdd29306b6dcaec6460b4473d2f2eddcbb2c08

Observation 78264e9b-b159-4633-852a-cb33203c71b0 · outbound

This paper cites Quantum state-agnostic work extraction (almost) without dissipation.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret Quantum state-agnostic work extraction (almost) without dissipation

Reference 16

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arxiv_id, observed 2026-05-12T01:56:15.100443Z

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

source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:3317e87cd88e8bb709931dc7cea49b7aeaa1f3186b4087366ea163de2255179f

Observation 8954155b-2bfa-484e-99a0-a5b00e279ddb · outbound

This paper cites Learning pure quantum states (almost) without regret.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret Learning pure quantum states (almost) without regret

Reference 17

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arxiv_id, observed 2026-05-12T01:56:15.104608Z

Source-reported events for the cited work

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

source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:b3825183899777247aa9aa8322780587eaa742bd5e84555c022dec52ad524d9e

Observation a5c0f4b6-f0ea-470c-95e4-7d169f407123 · outbound

This paper cites Linear bandits with polylogarithmic minimax regret.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret Linear bandits with polylogarithmic minimax regret

Reference 18

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

source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:ec042832341eebc0e7454362d1a7e159520302817d4373556b4c6c0ef102e9e3

Observation 652ec808-c811-4adf-8437-8f10fbf3dee1 · outbound

This paper cites Linearly Parameterized Bandits.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret Linearly Parameterized Bandits

Reference 19

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

source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:eedf8bd69197d5a3a84b7dc5a791698c3c98d1df0ac7f2da65f4941b0712d9cc

Observation 54c59968-8803-4cad-a4c4-916eeb7e8711 · outbound

This paper cites Almost optimal algorithms for linear stochastic bandits with heavy-tailed payoffs.

Learning Pure Quantum States in Any Dimension (Almost) Without Regret Almost optimal algorithms for linear stochastic bandits with heavy-tailed payoffs

Reference 20

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

source=pdf_text observed=2026-05-12T01:54:10.139060Z digest=sha256:415334e383d780042f33dfcead66a2a640384049ab08e723ab4aa41d77cc7cfe

Pith citing papers

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