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Paper Citation Record · LEDGER

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features

As of 22 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2505.09004.

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

pith.paper-citation-record.v1
2505.09004 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:51:29.856550Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

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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

46 of 46 outbound references displayed

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External citation measurements

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Outbound references

Observation 67461eff-5bb0-4981-a35f-b964ed8d4c8a · outbound

This paper cites Auditing privacy of additive noise mechanisms using linear predictive models,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Auditing privacy of additive noise mechanisms using linear predictive models,

Reference 1

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Observation f9cf1147-d403-4b8d-a7e9-eff30085d73d · outbound

This paper cites Deep Learning is Not So Mysterious or Different.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Deep Learning is Not So Mysterious or Different

Reference 2

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Unavailable: canonical work link unavailable.

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Observation 9c660463-3320-470f-8465-9c9a65d0d35a · outbound

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Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Unresolved cited work

Reference 3

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Unavailable: canonical work link unavailable.

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Observation 823ff1de-3130-48e9-bdb9-8e6c67e1b9df · outbound

This paper cites Biglieri, R.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Biglieri, R

Reference 4

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Observation 739e029b-67ff-462e-9e0a-bfee65607423 · outbound

This paper cites Mutual information and minimum mean-square error in Gaussian channels,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Mutual information and minimum mean-square error in Gaussian channels,

Reference 5

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Observation 2344164b-f704-40f0-a5d6-4c1ebe89331a · outbound

This paper cites Estimation in Gaussian noise: Properties of the minimum mean-square error,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Estimation in Gaussian noise: Properties of the minimum mean-square error,

Reference 6

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Observation 973d2a7a-4dd1-48a5-a6ec-c69e40527249 · outbound

This paper cites Functional properties of minimum mean-square error and mutual information,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Functional properties of minimum mean-square error and mutual information,

Reference 7

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Observation 2d32e711-5b24-4cf0-ab22-a289364958f3 · outbound

This paper cites An mmse lower bound via poincar ´e inequality,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features An mmse lower bound via poincar ´e inequality,

Reference 8

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Observation 61469218-0375-4dbc-b00a-4e889775133a · outbound

This paper cites The strong data processing inequality under the heat flow,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features The strong data processing inequality under the heat flow,

Reference 9

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Observation 63e66af4-07de-4112-9dec-c8fc2a6ddad4 · outbound

This paper cites A comprehensive study on ziv-zakai lower bounds on the mmse,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features A comprehensive study on ziv-zakai lower bounds on the mmse,

Reference 10

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Observation 9af4fd59-ace5-4835-8e99-86d7a7d4ef5a · outbound

This paper cites A statistical analysis of the kernel-based MMSE estimator with application to image reconstruction,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features A statistical analysis of the kernel-based MMSE estimator with application to image reconstruction,

Reference 11

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Observation c46a5bb7-228f-41a8-9fc4-2070717dcb3d · outbound

This paper cites Mutual information as a function of moments,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Mutual information as a function of moments,

Reference 12

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Observation 73a860af-258b-40e6-a866-87a9e86426da · outbound

This paper cites Polynomial approximations of conditional expectations in scalar Gaussian channels,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Polynomial approximations of conditional expectations in scalar Gaussian channels,

Reference 13

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Observation 06cefe1a-ce41-402b-b3b1-392cf7edb7c9 · outbound

This paper cites Measuring information from moments,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Measuring information from moments,

Reference 14

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Observation e1b10f8c-779d-4549-8773-fb744fa62bba · outbound

This paper cites The composition theorem for differential privacy,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features The composition theorem for differential privacy,

Reference 15

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Observation 5d7de8f8-b630-4a8e-b216-aefeb3fdf681 · outbound

This paper cites Operational definitions for some common information leakage metrics,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Operational definitions for some common information leakage metrics,

Reference 16

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Observation c257fe3c-3de9-4716-a4f1-b83c98637cda · outbound

This paper cites Tunable measures for information leakage and applications to privacy-utility tradeoffs,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Tunable measures for information leakage and applications to privacy-utility tradeoffs,

Reference 17

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Unavailable: canonical work link unavailable.

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Observation 1bcd47aa-3b4f-450b-807b-a4340083b93b · outbound

This paper cites Estimation efficiency under privacy constraints,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Estimation efficiency under privacy constraints,

Reference 18

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Observation b63355b8-dc32-432f-b62e-849a8f53401a · outbound

This paper cites Learning and generalization with the information bottleneck,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Learning and generalization with the information bottleneck,

Reference 19

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Observation 18af632b-db1f-4bad-8fd0-e29984bcc50e · outbound

This paper cites Minimax estimation of functionals of discrete distributions,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Minimax estimation of functionals of discrete distributions,

Reference 20

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Observation b1d51f88-271b-49f4-bdbe-bc007da69100 · outbound

This paper cites Minimax rates of entropy estimation on large alphabets via best polynomial approximation,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Minimax rates of entropy estimation on large alphabets via best polynomial approximation,

Reference 21

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Observation 7a8b351f-834e-4bdc-840a-fea300790f42 · outbound

This paper cites On the robustness of information-theoretic privacy measures and mechanisms,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features On the robustness of information-theoretic privacy measures and mechanisms,

Reference 22

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Observation 495f69e9-07fe-40c4-804b-7d5edde46a92 · outbound

This paper cites Mutual information neural estimation,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Mutual information neural estimation,

Reference 23

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Unavailable: canonical work link unavailable.

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Observation 9e910ff2-fd83-4116-a426-791b129e3d6b · outbound

This paper cites Neural Entropic Estimation: A faster path to mutual information estimation.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Neural Entropic Estimation: A faster path to mutual information estimation

Reference 24

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Observation 1cc8d568-2d03-4169-aa4a-a88cbcabfa66 · outbound

This paper cites Non-asymptotic performance guarantees for neural estimation of f-divergences,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Non-asymptotic performance guarantees for neural estimation of f-divergences,

Reference 25

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Observation 1089722c-2f0b-4ef2-8f67-28ffc7835abf · outbound

This paper cites Auditing differentially private machine learning: How private is private sgd?.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Auditing differentially private machine learning: How private is private sgd?

Reference 26

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Observation f39d6f91-6b0b-45c9-a400-7ffe68cf44a7 · outbound

This paper cites Adversary instantiation: Lower bounds for differentially private machine learning,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Adversary instantiation: Lower bounds for differentially private machine learning,

Reference 27

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raw_fallback, observed 2026-08-15T21:51:30.214224Z

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Observation aff011c7-ad14-4996-9e15-dcd8b19f31a6 · outbound

This paper cites Neural network-based estimation of the MMSE,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Neural network-based estimation of the MMSE,

Reference 28

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 0553777f-8f9e-4d2c-84bd-72723379387c · outbound

This paper cites Universal approximation bounds for superpositions of a sigmoidal function,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Universal approximation bounds for superpositions of a sigmoidal function,

Reference 29

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Observation cb6af6ef-0f10-4c23-9688-a10a4fdf1a98 · outbound

This paper cites The algorithmic foundations of differential privacy,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features The algorithmic foundations of differential privacy,

Reference 30

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 13b93e77-791a-4b5a-9c6c-fa21ef1ffc07 · outbound

This paper cites Privacy-aware MMSE estimation,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Privacy-aware MMSE estimation,

Reference 31

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raw_fallback, observed 2026-08-15T21:51:30.152946Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 79d85ad0-c34d-40d0-8526-d1248d6b31c4 · outbound

This paper cites Information extraction under privacy constraints,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Information extraction under privacy constraints,

Reference 32

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation 557f8a82-ec6e-4731-bcce-5088cf7db3de · outbound

This paper cites Shalev-Shwartz and S.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Shalev-Shwartz and S

Reference 33

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no resolver link, observed 2026-08-15T21:51:29.798651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:51:29.798651Z digest=sha256:d8acfe9d9734bc1d6301125f31113523e8f775728992602e01c90bf5c4441f03

Observation 18866633-8533-4a7d-b93c-a2a974db5bd3 · outbound

This paper cites Empirical bernstein bounds and sample variance penalization,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Empirical bernstein bounds and sample variance penalization,

Reference 34

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raw_fallback, observed 2026-08-15T21:51:30.113037Z

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No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

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Observation a68edf15-0f6a-482e-a04b-8034d44a1f29 · outbound

This paper cites Rademacher and gaussian complexities: Risk bounds and structural results,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Rademacher and gaussian complexities: Risk bounds and structural results,

Reference 35

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raw_fallback, observed 2026-08-15T21:51:30.098332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:51:29.806989Z digest=sha256:8b8a8b5c5c6c243251b61af10e14257d9f1542ce63dff29da0b1d7bb7bbdedd9

Observation ab311821-528c-4481-b3c6-66066db9f895 · outbound

This paper cites Adaptive and learning systems for signal processing communications, and control,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Adaptive and learning systems for signal processing communications, and control,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:51:30.083392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:51:29.811113Z digest=sha256:25279246fba0aec139b735b1bf54c8195a5fffbf6efdd264d31cd2a0d2a5cbce

Observation 74ce2d64-efca-4627-ad04-cb90e38ccfbf · outbound

This paper cites Hastie, R.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Hastie, R

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:51:30.067681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:51:29.815735Z digest=sha256:d01ee765cfdce9da043037fe660d226fc034334bb84f46caf4888a2a0f5fe7e0

Observation 35c7a223-abe4-486c-a2aa-bdf636aaffbf · outbound

This paper cites Lower bounds on the mmse of adversarially inferring sensitive features,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Lower bounds on the mmse of adversarially inferring sensitive features,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:51:30.052903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:51:29.820114Z digest=sha256:5da74692605fb91ce623a7ff1ef88536277559dbcb415c0f44c07995cc1cb650

Observation b51a79f7-9956-43d2-bab7-446f15bf7223 · outbound

This paper cites Pac-bayes compression bounds so tight that they can explain generalization,.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Pac-bayes compression bounds so tight that they can explain generalization,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:51:30.037258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:51:29.824198Z digest=sha256:070e0cfc55de1ff241422030114f468ff1556edfc3e66ee399887d14a71e84e4

Observation ff00aa46-ec80-4497-91b0-7a034e5a092e · outbound

This paper cites Mathai and S.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Mathai and S

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:51:30.023050Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:51:29.828505Z digest=sha256:eeaf34696562e79c91463fd2b05cc3eb5ea289a5bb399b820c96cd1ad0ca1bf5

Observation 9a23bf68-a56f-4943-aba3-5b9b32a1e687 · outbound

This paper cites JOURNAL OF LATEX CLASS FILES, VOL.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features JOURNAL OF LATEX CLASS FILES, VOL

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:51:30.008057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:51:29.833436Z digest=sha256:f671eac0870e14fc9d1502727d9fc541041f9ed2c0c283f0048487118133d1cc

Observation 7db5b660-b8cb-4bc1-b384-f59f771ba7a6 · outbound

This paper cites (120) Finally, we have that Cov(θσ(Xσ),Xσ) = Cov(θσ(Xσ),X ) +σCov(θσ(Xσ),Z ) (121) =qq(I1−I0) +σ (qE[Zθσ(σZ)] +qE[Zθσ(1 +σZ)]).

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features (120) Finally, we have that Cov(θσ(Xσ),Xσ) = Cov(θσ(Xσ),X ) +σCov(θσ(Xσ),Z ) (121) =qq(I1−I0) +σ (qE[Zθσ(σZ)] +qE[Zθσ(1 +σZ)])

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:51:29.991910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:51:29.838038Z digest=sha256:5c527fdaa69af9c86c643bbc67d5090b0bc4dcc673ab68a7fbbb5f1ad3e1a2ce

Observation 55f7ea69-aeba-4164-9d46-ceea2dbe6944 · outbound

This paper cites an unresolved cited work.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:51:29.977526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:51:29.842673Z digest=sha256:421f658a13cb18bac67b99d3d8e215082cfb9953c7e442f5c9570dd58c09108a

Observation 32e895b4-5ab3-4b4d-9443-f07100774f9e · outbound

This paper cites an unresolved cited work.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:51:29.963053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:51:29.847111Z digest=sha256:79d2c7f7c2b69820ad02183b9c148b7ab6c9973e181fff940e793aa4ed0cca3b

Observation db84e59a-5ecf-49d9-8aaf-ffaa882df6f1 · outbound

This paper cites an unresolved cited work.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-15T21:51:29.949040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:51:29.851727Z digest=sha256:832aed0c7b04684be49c9d1a6b38d6358d63ff4448cdc7dd285c69f5310ad7ed

Observation 9d4cb199-d451-440b-9dea-d4dbc2aef2b2 · outbound

This paper cites (181) JOURNAL OF LATEX CLASS FILES, VOL.

Lower Bounds on the MMSE of Adversarially Inferring Sensitive Features (181) JOURNAL OF LATEX CLASS FILES, VOL

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:51:29.934493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-15T21:51:29.856550Z digest=sha256:8e42de86e98c4b7d6ad9dd53e885769a067d98c5116cc28f48e45d58b2bc5a81

Pith citing papers

No inbound Pith citation observations are available.