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Paper Citation Record · LEDGER

Private Generative Bootstrap via Blocking

As of 23 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2608.02480.

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

pith.paper-citation-record.v1
2608.02480 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:41:24.478031Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

52 of 52 outbound references displayed

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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a698eef7-6d27-4392-a470-b6f7ab056b5b · outbound

This paper cites Foundations and Trends.

Private Generative Bootstrap via Blocking Foundations and Trends

Reference 1

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Observation c65f3f7f-c8fa-4615-af86-1bf2d77124fb · outbound

This paper cites ACM SIGSAC Conference on Computer and Communications Security , year=.

Private Generative Bootstrap via Blocking ACM SIGSAC Conference on Computer and Communications Security , year=

Reference 2

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source=arxiv_source observed=2026-08-04T06:41:19.880922Z digest=sha256:6bcda66be2f7e421654f758b5af7fe7c444e7107b52b3bdcb679b203884743e6

Observation a34784a5-94b9-4204-8a60-b6b2f99f4194 · outbound

This paper cites The Annals of Statistics , volume=.

Private Generative Bootstrap via Blocking The Annals of Statistics , volume=

Reference 3

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source=arxiv_source observed=2026-08-04T06:41:19.938482Z digest=sha256:15e60ac0f43a2c7cbc5452d816f8456eaf4551ccb35b70e4f872f43d74fa5535

Observation de236f66-483e-4ffe-9dff-9acbb7fd1a64 · outbound

This paper cites Differentially private.

Private Generative Bootstrap via Blocking Differentially private

Reference 4

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source=arxiv_source observed=2026-08-04T06:41:19.983180Z digest=sha256:899a016d56cbba229648cecd23a96879452069bd40910e44cad7a99fbb86e0b7

Observation dceea116-939a-419a-a798-e1727a34a0d2 · outbound

This paper cites and Oliviero Durmus, Alain , journal =.

Private Generative Bootstrap via Blocking and Oliviero Durmus, Alain , journal =

Reference 5

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source=arxiv_source observed=2026-08-04T06:41:20.026439Z digest=sha256:c056eab32112ccadaba1aa9c4176a35e018ffc3137ebb3828a1a87ea4b64e653

Observation 315633ba-6c8d-48ca-b724-48c56e73665c · outbound

This paper cites Differential privacy for.

Private Generative Bootstrap via Blocking Differential privacy for

Reference 6

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source=arxiv_source observed=2026-08-04T06:41:20.083426Z digest=sha256:b17ebba8b8f0d83f7d1bd24a853ece19510e96151e03ff0efc2e9ebda0b839dd

Observation a91c680a-6823-4496-8aed-1c158c3298cb · outbound

This paper cites Privacy for free: Posterior sampling and stochastic gradient.

Private Generative Bootstrap via Blocking Privacy for free: Posterior sampling and stochastic gradient

Reference 7

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source=arxiv_source observed=2026-08-04T06:41:20.144061Z digest=sha256:efca1a8832f2eec39e10714168abcfd48ca3cd261179019d8cff48db18dbf2e9

Observation 1c7d99f3-3c5c-4cc6-949e-1da5efbe7639 · outbound

This paper cites Journal of Privacy and Confidentiality , author=.

Private Generative Bootstrap via Blocking Journal of Privacy and Confidentiality , author=

Reference 8

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source=arxiv_source observed=2026-08-04T06:41:20.186290Z digest=sha256:096d66aad27123629e27892337347c4e136cf007bda481501edcec90a08d2a41

Observation 3b326c03-48ba-49d6-8b50-91e7e24082e3 · outbound

This paper cites Journal of the American Statistical Association , volume =.

Private Generative Bootstrap via Blocking Journal of the American Statistical Association , volume =

Reference 9

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source=arxiv_source observed=2026-08-04T06:41:20.248784Z digest=sha256:7dc03c8d4fb52cbc35d80907deb15d5a9a018c9fd98e82ce1a90b170c7a4bc59

Observation 3b3e3ccc-78c8-4f0e-b32b-f0d41699518a · outbound

This paper cites AI-Powered Bayesian Inference.

Private Generative Bootstrap via Blocking AI-Powered Bayesian Inference

Reference 10

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source=arxiv_source observed=2026-08-04T06:41:20.262339Z digest=sha256:8c7d974c4f31270239d5de53bb891c83a8c8b25ae5d3e9148873f49afcd94ff8

Observation c802d425-81e5-49a5-a2e6-ae9f30a1d724 · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=.

Private Generative Bootstrap via Blocking Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=

Reference 11

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source=arxiv_source observed=2026-08-04T06:41:20.373924Z digest=sha256:bbe6432fd6da0f9062c6995a87bf9ff4d968d9f08d6e809aacfd5119ffe2970f

Observation f6510add-5f80-46c7-aace-92daa14f1e95 · outbound

This paper cites Differentially private.

Private Generative Bootstrap via Blocking Differentially private

Reference 12

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Observation c82265e2-2ee9-4ea2-b6fa-a64fd4582dfb · outbound

This paper cites an unresolved cited work.

Private Generative Bootstrap via Blocking Unresolved cited work

Reference 13

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Observation 3eaec596-96f0-4c57-8a65-41fbbb85d3ab · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=.

Private Generative Bootstrap via Blocking Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=

Reference 14

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source=arxiv_source observed=2026-08-04T06:41:20.594125Z digest=sha256:14b4ec79e23aa74d7b93a874c5243d202e40f838bf3af6eb1b4a4f3a8fe9b6e7

Observation 46407fc4-26e1-43ea-ab41-9a66780283b8 · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

Private Generative Bootstrap via Blocking Advances in Neural Information Processing Systems , year=

Reference 15

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source=arxiv_source observed=2026-08-04T06:41:20.688235Z digest=sha256:5c7d3dd693b677b333cae3b27a0d5cc0a13667175a92e04dacf69b5eb0a30912

Observation 7e1eb1de-a0ae-44ac-8e93-e3d7c1b6a793 · outbound

This paper cites an unresolved cited work.

Private Generative Bootstrap via Blocking Unresolved cited work

Reference 16

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source=arxiv_source observed=2026-08-04T06:41:20.764513Z digest=sha256:72402203509c24db289d62981afa804bbcd062d49970e025b186dca2f53dc108

Observation 8122942f-be42-4c24-bab2-5cbf726567b0 · outbound

This paper cites Data augmentation.

Private Generative Bootstrap via Blocking Data augmentation

Reference 17

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source=arxiv_source observed=2026-08-04T06:41:20.808182Z digest=sha256:fde204b0f7b05afa2241bf8c92e3b715fc1ecdc2a71575f26901c3e2eea1c3ec

Observation 0ead74b8-6b54-4c52-a30e-8401ca3ade76 · outbound

This paper cites an unresolved cited work.

Private Generative Bootstrap via Blocking Unresolved cited work

Reference 18

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source=arxiv_source observed=2026-08-04T06:41:20.933305Z digest=sha256:06cd493d43b84ba44430ceea90fe88aecaa58a16b752816cc35d9004d40a94ef

Observation a1f8c3be-ac6f-40d8-be1e-dac8f2e2a866 · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , year=.

Private Generative Bootstrap via Blocking International Conference on Artificial Intelligence and Statistics , year=

Reference 19

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Observation 4d4e2cf3-a90f-44ee-8d51-b21158338e70 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Private Generative Bootstrap via Blocking Journal of Machine Learning Research , volume=

Reference 20

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Observation 2f0572d2-e71e-4dfb-a714-3baadb4d5fc4 · outbound

This paper cites an unresolved cited work.

Private Generative Bootstrap via Blocking Unresolved cited work

Reference 21

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Observation 29717e7b-2390-4ce0-902d-ceab2db2215f · outbound

This paper cites Deep bootstrap for.

Private Generative Bootstrap via Blocking Deep bootstrap for

Reference 22

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Observation b10d7669-1d55-458b-bdbf-7810e8b03871 · outbound

This paper cites an unresolved cited work.

Private Generative Bootstrap via Blocking Unresolved cited work

Reference 23

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Observation d78b9b79-7fe4-4658-92fe-834126956272 · outbound

This paper cites Advances in Neural Information Processing Systems , year=.

Private Generative Bootstrap via Blocking Advances in Neural Information Processing Systems , year=

Reference 24

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Observation 3d7ca7a5-44c1-4ef4-b53b-08a1fc302f21 · outbound

This paper cites Theory of Cryptography Conference , pages=.

Private Generative Bootstrap via Blocking Theory of Cryptography Conference , pages=

Reference 25

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Observation 8b4301ad-3fb4-4d21-acf6-3b73e6ad2cab · outbound

This paper cites International Conference on Machine Learning , year=.

Private Generative Bootstrap via Blocking International Conference on Machine Learning , year=

Reference 26

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source=arxiv_source observed=2026-08-04T06:41:21.715806Z digest=sha256:f760fa586948e010cda22fd07626d64cd4b0221bbc25490da98a2c799e923bdd

Observation a73a0721-8b2e-415f-816a-c72a39c27cfd · outbound

This paper cites 2014 , volume=.

Private Generative Bootstrap via Blocking 2014 , volume=

Reference 27

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Observation a8f8d907-891d-431c-84f6-3e71ecb70046 · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=.

Private Generative Bootstrap via Blocking Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=

Reference 28

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Observation ac5ea34b-3a4c-4cc7-a1b7-e234f9afc0c7 · outbound

This paper cites Breakthroughs in Statistics: Methodology and Distribution , pages=.

Private Generative Bootstrap via Blocking Breakthroughs in Statistics: Methodology and Distribution , pages=

Reference 29

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Observation b66d0417-2b07-4da1-b935-f104c4be1e7f · outbound

This paper cites an unresolved cited work.

Private Generative Bootstrap via Blocking Unresolved cited work

Reference 30

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Observation 04dfe562-93d0-41ea-baec-62b96e892850 · outbound

This paper cites On connecting stochastic gradient.

Private Generative Bootstrap via Blocking On connecting stochastic gradient

Reference 31

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Observation 1468ca65-ae9f-423f-97e2-6ddd47b92e5e · outbound

This paper cites IEEE Journal on Selected Areas in Information Theory , volume=.

Private Generative Bootstrap via Blocking IEEE Journal on Selected Areas in Information Theory , volume=

Reference 32

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Observation 9fb3a69f-e4e9-4eba-92da-ecec25877b32 · outbound

This paper cites Foundations of Computational Mathematics , volume=.

Private Generative Bootstrap via Blocking Foundations of Computational Mathematics , volume=

Reference 33

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Observation 2c4b93b8-379c-405d-92f7-3abed2caf855 · outbound

This paper cites 2018 , publisher=.

Private Generative Bootstrap via Blocking 2018 , publisher=

Reference 34

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Observation 55a02d6d-7908-48ce-8c65-ff10c7e6b47a · outbound

This paper cites Differentially private stochastic gradient descent with fixed-size minibatches: Tighter.

Private Generative Bootstrap via Blocking Differentially private stochastic gradient descent with fixed-size minibatches: Tighter

Reference 35

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Observation 8c2bca5a-ae83-4a6b-9288-e550c44793df · outbound

This paper cites Linear convergence of gradient and proximal-gradient methods under the.

Private Generative Bootstrap via Blocking Linear convergence of gradient and proximal-gradient methods under the

Reference 36

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Observation 1175f39c-1a6d-41b2-8b08-6dce3c368dd3 · outbound

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Private Generative Bootstrap via Blocking Applied and Computational Harmonic Analysis , volume=

Reference 37

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Observation 163019ad-a996-4d0a-abb7-6c9375cc201f · outbound

This paper cites Journal of the American Statistical Association , volume=.

Private Generative Bootstrap via Blocking Journal of the American Statistical Association , volume=

Reference 38

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Observation 42a6298c-5288-4383-b1db-a74eb57f0631 · outbound

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Private Generative Bootstrap via Blocking 2010 , publisher=

Reference 39

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Observation 2df75740-e955-4680-8384-3f681b92339f · outbound

This paper cites Quantile regression under misspecification, with an application to the.

Private Generative Bootstrap via Blocking Quantile regression under misspecification, with an application to the

Reference 40

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Observation ae01cdd3-0120-4c13-8bf5-f015881e15b9 · outbound

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Private Generative Bootstrap via Blocking Empirical Economics , volume=

Reference 41

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Observation 21d129e8-6eed-4ba8-8056-2028a8f14277 · outbound

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Private Generative Bootstrap via Blocking Econometrica: Journal of the Econometric Society , volume=

Reference 42

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no resolver link, observed 2026-08-04T06:41:23.534624Z

Source-reported events for the cited work

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Observation 92dda923-cf62-46b1-84c0-1087dd3da99f · outbound

This paper cites Generative multi-purpose sampler for weighted.

Private Generative Bootstrap via Blocking Generative multi-purpose sampler for weighted

Reference 43

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no resolver link, observed 2026-08-04T06:41:23.630878Z

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source=arxiv_source observed=2026-08-04T06:41:23.630878Z digest=sha256:27327e441b360b6bd95082194bbecb453e82c289a870ae8435d512ef5091a44e

Observation 8fd6234e-3fc8-4c93-bc77-dab217d9d33a · outbound

This paper cites Conference on Learning Theory , year=.

Private Generative Bootstrap via Blocking Conference on Learning Theory , year=

Reference 44

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no resolver link, observed 2026-08-04T06:41:23.746749Z

Source-reported events for the cited work

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Observation f813c402-6f84-4d94-a251-69cae9f08491 · outbound

This paper cites The Annals of Statistics , pages=.

Private Generative Bootstrap via Blocking The Annals of Statistics , pages=

Reference 45

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no resolver link, observed 2026-08-04T06:41:23.822539Z

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Observation e034c62f-1020-45bf-9f01-9d9fd0521c25 · outbound

This paper cites ACM Symposium on Theory of Computing , year=.

Private Generative Bootstrap via Blocking ACM Symposium on Theory of Computing , year=

Reference 46

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no resolver link, observed 2026-08-04T06:41:23.918538Z

Source-reported events for the cited work

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Observation 207416be-2d1e-46ee-b57e-f9fd3eb0d3ab · outbound

This paper cites Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data , journal =.

Private Generative Bootstrap via Blocking Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data , journal =

Reference 47

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no resolver link, observed 2026-08-04T06:41:24.016782Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T06:41:24.016782Z digest=sha256:942f8cfc489013ef80b5212df58fdadc08910ce45e18cc11e597f22f8fa3d8ac

Observation 6fa366b9-9868-4a54-85b4-d3cb35b23946 · outbound

This paper cites Bootstrap consistency for general semiparametric.

Private Generative Bootstrap via Blocking Bootstrap consistency for general semiparametric

Reference 48

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no resolver link, observed 2026-08-04T06:41:24.107206Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T06:41:24.107206Z digest=sha256:76cb1336f2ea60817593799f836d8555cedb733cae26d816dfdda6d674128a9e

Observation 9d358768-7fd2-4abe-94fd-eb0a252a6941 · outbound

This paper cites The Annals of Probability , pages=.

Private Generative Bootstrap via Blocking The Annals of Probability , pages=

Reference 49

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no resolver link, observed 2026-08-04T06:41:24.160719Z

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source=arxiv_source observed=2026-08-04T06:41:24.160719Z digest=sha256:2a36e95245f642801c6adf2893ad4ef6fc3362f87f0a8b8ceacf6c4fd9d53068

Observation 3715b413-3dcd-4a53-808f-1a398a9d2931 · outbound

This paper cites Universal function approximation by deep neural nets with bounded width and.

Private Generative Bootstrap via Blocking Universal function approximation by deep neural nets with bounded width and

Reference 50

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no resolver link, observed 2026-08-04T06:41:24.312822Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T06:41:24.312822Z digest=sha256:1ebe703df0a2fefff4e40eee0851f2d00122648a7acfed475cf41cb42875fdf7

Observation 1efdb9c8-d321-4aaa-b01c-f5ab797a641c · outbound

This paper cites Advances in Cryptology -- EUROCRYPT 2006 , pages =.

Private Generative Bootstrap via Blocking Advances in Cryptology -- EUROCRYPT 2006 , pages =

Reference 51

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no resolver link, observed 2026-08-04T06:41:24.393663Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T06:41:24.393663Z digest=sha256:0306f44a7a9172a5a0e61ea5c768151d95d12f8a64a2be8c616507077e5909af

Observation b8543e7c-7f2c-4a85-a596-6a545747b894 · outbound

This paper cites International Conference on Learning Representations , year=.

Private Generative Bootstrap via Blocking International Conference on Learning Representations , year=

Reference 52

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no resolver link, observed 2026-08-04T06:41:24.478031Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-04T06:41:24.478031Z digest=sha256:c9a06e2c30ab93ab60cac2400945cef52233f4030bc7cbdf5291f2cab1100924

Pith citing papers

No inbound Pith citation observations are available.