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Paper Citation Record · LEDGER

Is Randomness Necessary for Adaptive Data Analysis?

As of 24 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2607.07085.

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

pith.paper-citation-record.v1
2607.07085 v2

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T08:21:56.772754Z

measured 47 of 47 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

47 of 47 outbound references displayed

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  • unresolved47
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  • malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 93152af1-24cc-4862-b1d2-298b28b21950 · outbound

This paper cites The space complexity of approximating the frequency moments.

Is Randomness Necessary for Adaptive Data Analysis? The space complexity of approximating the frequency moments

Reference 1

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source=arxiv_source observed=2026-08-02T08:21:56.568671Z digest=sha256:50b5108b5de80a2dd120eecfdfe62ff182ea21aa5d8796e3fc2e5b52d79928ef

Observation 408957fc-5cb1-4ff8-905d-59c6f2f98e52 · outbound

This paper cites Queries and concept learning.

Is Randomness Necessary for Adaptive Data Analysis? Queries and concept learning

Reference 2

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source=arxiv_source observed=2026-08-02T08:21:56.573639Z digest=sha256:72d1ec456c076eed1d2dd6f8375f4030bbecc107dd7aaf45d4b64a775bd434fd

Observation 84310389-a014-41b6-b1e0-cb3c383cca2f · outbound

This paper cites Separations between oblivious and adaptive adversaries for natural dynamic graph problems.

Is Randomness Necessary for Adaptive Data Analysis? Separations between oblivious and adaptive adversaries for natural dynamic graph problems

Reference 3

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source=arxiv_source observed=2026-08-02T08:21:56.580568Z digest=sha256:aaca16b37ec79246a0ec18ddc4486c6be7c08b28bcca2d1afcf878b2f50dadba

Observation d25faa19-912e-4c4e-87f5-b9a739fdc04e · outbound

This paper cites Optimal fully dynamic k-center clustering for adaptive and oblivious adversaries.

Is Randomness Necessary for Adaptive Data Analysis? Optimal fully dynamic k-center clustering for adaptive and oblivious adversaries

Reference 4

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Observation 4ac23407-8789-43c2-b00c-8b5504e65fa3 · outbound

This paper cites Dynamic algorithms against an adaptive adversary: generic constructions and lower bounds.

Is Randomness Necessary for Adaptive Data Analysis? Dynamic algorithms against an adaptive adversary: generic constructions and lower bounds

Reference 5

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source=arxiv_source observed=2026-08-02T08:21:56.589831Z digest=sha256:460f113f27d51484cfafe5af6c65a3d7b568fe3d4c11991c3f375a4c40482ea2

Observation b7fc16aa-3270-489b-9bcd-e7c101931838 · outbound

This paper cites Subsampling suffices for adaptive data analysis.

Is Randomness Necessary for Adaptive Data Analysis? Subsampling suffices for adaptive data analysis

Reference 6

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Observation 1ae45258-5a75-4c22-ab8f-504d706ec9fa · outbound

This paper cites Chosen ciphertext attacks against protocols based on the rsa encryption standard pkcs\# 1.

Is Randomness Necessary for Adaptive Data Analysis? Chosen ciphertext attacks against protocols based on the rsa encryption standard pkcs\# 1

Reference 7

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Observation 014d9c98-dcde-4008-9728-e5d278e21cbc · outbound

This paper cites Smith, Thomas Steinke, Uri Stemmer, and Jonathan R.

Is Randomness Necessary for Adaptive Data Analysis? Smith, Thomas Steinke, Uri Stemmer, and Jonathan R

Reference 8

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Observation a4e88518-9b44-4b56-90d7-f9a36cb69e3e · outbound

This paper cites Another advantage of free choice (extended abstract) completely asynchronous agreement protocols.

Is Randomness Necessary for Adaptive Data Analysis? Another advantage of free choice (extended abstract) completely asynchronous agreement protocols

Reference 9

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Observation 43979015-75a9-4b43-ba86-149987692877 · outbound

This paper cites Random oracles are practical: A paradigm for designing efficient protocols.

Is Randomness Necessary for Adaptive Data Analysis? Random oracles are practical: A paradigm for designing efficient protocols

Reference 10

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Observation 5472413b-f6a0-486e-a731-b036686eef78 · outbound

This paper cites Strong fooling sets for multi-player communication with applications to deterministic estimation of stream statistics.

Is Randomness Necessary for Adaptive Data Analysis? Strong fooling sets for multi-player communication with applications to deterministic estimation of stream statistics

Reference 11

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Observation baf67e19-46d3-4e60-abc1-9f0c0d88296c · outbound

This paper cites Finding missing items requires strong forms of randomness.

Is Randomness Necessary for Adaptive Data Analysis? Finding missing items requires strong forms of randomness

Reference 12

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source=arxiv_source observed=2026-08-02T08:21:56.622106Z digest=sha256:a96528a328751faed26decc3f73587892eb3146f370395ac543f4c3fdd26d438

Observation 8f46cad3-22ef-4ae2-b20d-f4cad864e220 · outbound

This paper cites Generalization in adaptive data analysis and holdout reuse.

Is Randomness Necessary for Adaptive Data Analysis? Generalization in adaptive data analysis and holdout reuse

Reference 13

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Observation 9dde2d0c-e13e-4350-bbb6-2c1820e29a20 · outbound

This paper cites Preserving statistical validity in adaptive data analysis.

Is Randomness Necessary for Adaptive Data Analysis? Preserving statistical validity in adaptive data analysis

Reference 14

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Observation b3e9d7f3-23c7-42e0-96f6-486c6d086639 · outbound

This paper cites Woodruff, and Samson Zhou.

Is Randomness Necessary for Adaptive Data Analysis? Woodruff, and Samson Zhou

Reference 15

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Observation a946eaf1-1ff9-4e2a-9593-7fc285d02614 · outbound

This paper cites Impossibility of distributed consensus with one faulty process.

Is Randomness Necessary for Adaptive Data Analysis? Impossibility of distributed consensus with one faulty process

Reference 16

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Observation 8c17ea53-ff92-4dd6-810a-72de97eb413a · outbound

This paper cites Probabilistic counting algorithms for data base applications.

Is Randomness Necessary for Adaptive Data Analysis? Probabilistic counting algorithms for data base applications

Reference 17

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Observation a65e01b6-bf1f-4e3e-8d61-0f48a9cab0a5 · outbound

This paper cites an unresolved cited work.

Is Randomness Necessary for Adaptive Data Analysis? Unresolved cited work

Reference 18

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Observation 176f54fd-87b0-4958-84a0-cfe5c431cb1b · outbound

This paper cites How to prove yourself: Practical solutions to identification and signature problems.

Is Randomness Necessary for Adaptive Data Analysis? How to prove yourself: Practical solutions to identification and signature problems

Reference 19

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Observation b41eaf2f-98f2-423d-9c3c-014984438251 · outbound

This paper cites Generalization for adaptively-chosen estimators via stable median.

Is Randomness Necessary for Adaptive Data Analysis? Generalization for adaptively-chosen estimators via stable median

Reference 20

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Observation 0fa0d37e-cd74-4d10-9f11-e96c2a0bd77d · outbound

This paper cites Calibrating noise to variance in adaptive data analysis.

Is Randomness Necessary for Adaptive Data Analysis? Calibrating noise to variance in adaptive data analysis

Reference 21

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Observation 2c8ca08a-b8d0-4a0f-bc34-8b4af3f1e5be · outbound

This paper cites Sketching and streaming entropy via approximation theory.

Is Randomness Necessary for Adaptive Data Analysis? Sketching and streaming entropy via approximation theory

Reference 22

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Observation 25f749d1-c50d-4417-badd-76dc115fc7f8 · outbound

This paper cites an unresolved cited work.

Is Randomness Necessary for Adaptive Data Analysis? Unresolved cited work

Reference 23

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Observation 30ba560b-43c6-4b71-a669-6c69aa4f0030 · outbound

This paper cites A new analysis of differential privacy's generalization guarantees.

Is Randomness Necessary for Adaptive Data Analysis? A new analysis of differential privacy's generalization guarantees

Reference 24

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Observation 61117bd1-bd15-447b-a84a-31a0aeb7976b · outbound

This paper cites Separating adaptive streaming from oblivious streaming using the bounded storage model.

Is Randomness Necessary for Adaptive Data Analysis? Separating adaptive streaming from oblivious streaming using the bounded storage model

Reference 25

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Observation 4fae31de-90a5-4c4f-a95a-5d6f5bf3b2d0 · outbound

This paper cites A Simple Proof of a New Set Disjointness with Applications to Data Streams.

Is Randomness Necessary for Adaptive Data Analysis? A Simple Proof of a New Set Disjointness with Applications to Data Streams

Reference 26

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source=arxiv_source observed=2026-08-02T08:21:56.692524Z digest=sha256:62d426c599bb21ad01cc9efedf463d90da1c7134ef3bf47fcff7865e038b3ba4

Observation 45f13e28-6850-4e9e-a664-d58c6473ad6f · outbound

This paper cites The probabilistic communication complexity of set intersection.

Is Randomness Necessary for Adaptive Data Analysis? The probabilistic communication complexity of set intersection

Reference 27

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Observation 1d80659b-64e5-4cb9-af13-30401ebf8d8a · outbound

This paper cites Adaptive data analysis with correlated observations.

Is Randomness Necessary for Adaptive Data Analysis? Adaptive data analysis with correlated observations

Reference 28

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Observation aaa1c2f1-84db-4407-934d-81cf2f479dee · outbound

This paper cites Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm.

Is Randomness Necessary for Adaptive Data Analysis? Learning quickly when irrelevant attributes abound: A new linear-threshold algorithm

Reference 29

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Observation d2151fde-7892-47f4-a896-d2f0c03415ea · outbound

This paper cites On the advantages of free choice: A symmetric and fully distributed solution to the dining philosophers problem.

Is Randomness Necessary for Adaptive Data Analysis? On the advantages of free choice: A symmetric and fully distributed solution to the dining philosophers problem

Reference 30

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Observation 1fd489f7-c060-44f8-89fb-d844666a2128 · outbound

This paper cites A necessary and sufficient stability notion for adaptive generalization.

Is Randomness Necessary for Adaptive Data Analysis? A necessary and sufficient stability notion for adaptive generalization

Reference 31

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Observation c64c85d8-b5af-408b-ae27-d09bcdeed4b9 · outbound

This paper cites Fingerprinting codes meet geometry: Improved lower bounds for private query release and adaptive data analysis.

Is Randomness Necessary for Adaptive Data Analysis? Fingerprinting codes meet geometry: Improved lower bounds for private query release and adaptive data analysis

Reference 32

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source=arxiv_source observed=2026-08-02T08:21:56.717208Z digest=sha256:c7eb802ca71b22bc71de0c93f53ad5b661510b6678f515c6bae817a3c8e236b9

Observation ae4dadd9-b840-442e-900a-639cdfeeca52 · outbound

This paper cites A chosen ciphertext attack on rsa optimal asymmetric encryption padding (oaep) as standardized in pkcs\# 1 v2.

Is Randomness Necessary for Adaptive Data Analysis? A chosen ciphertext attack on rsa optimal asymmetric encryption padding (oaep) as standardized in pkcs\# 1 v2

Reference 33

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Observation 9329a111-e0c5-44e2-a098-07157cb88a5d · outbound

This paper cites Smith, Thomas Steinke, Uri Stemmer, and Jonathan R.

Is Randomness Necessary for Adaptive Data Analysis? Smith, Thomas Steinke, Uri Stemmer, and Jonathan R

Reference 34

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Observation 71dd8ec7-0111-4577-97e8-1d871f2bcf31 · outbound

This paper cites Adaptive data analysis in a balanced adversarial model.

Is Randomness Necessary for Adaptive Data Analysis? Adaptive data analysis in a balanced adversarial model

Reference 35

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Observation eb2a0edb-2b2e-4fba-b6b0-31fb4ebb09c0 · outbound

This paper cites Searching games with errors—fifty years of coping with liars.

Is Randomness Necessary for Adaptive Data Analysis? Searching games with errors—fifty years of coping with liars

Reference 36

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source=arxiv_source observed=2026-08-02T08:21:56.732863Z digest=sha256:ea30e70e62502ac570c4af900ae96c6039d757a18e87790a085b369be32301ba

Observation 84f13195-c269-4a33-89ed-056469bd5618 · outbound

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Is Randomness Necessary for Adaptive Data Analysis? Unresolved cited work

Reference 37

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Observation ddbf1218-52c5-4048-b665-3731de53f648 · outbound

This paper cites Tight bounds for answering adaptively chosen concentrated queries.

Is Randomness Necessary for Adaptive Data Analysis? Tight bounds for answering adaptively chosen concentrated queries

Reference 38

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Observation 7f805e00-55c3-4110-806e-d08b05b442b9 · outbound

This paper cites Rivest, Albert R.

Is Randomness Necessary for Adaptive Data Analysis? Rivest, Albert R

Reference 39

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source=arxiv_source observed=2026-08-02T08:21:56.744697Z digest=sha256:355be790275760f3afec197e771a778fe619bbb93b3f1524759af22c69880193

Observation cee48b5d-448d-4a59-8489-a9d7371de15e · outbound

This paper cites Rogers, Aaron Roth, Adam D.

Is Randomness Necessary for Adaptive Data Analysis? Rogers, Aaron Roth, Adam D

Reference 40

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no resolver link, observed 2026-08-02T08:21:56.748303Z

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source=arxiv_source observed=2026-08-02T08:21:56.748303Z digest=sha256:5839a1aad17a1e3c0f00a62fc3d4a179e057052f6e82f8533b94503078a5a015

Observation 5a69be5d-c9fb-4bad-9b93-7cf01cc1f378 · outbound

This paper cites Controlling bias in adaptive data analysis using information theory.

Is Randomness Necessary for Adaptive Data Analysis? Controlling bias in adaptive data analysis using information theory

Reference 41

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unresolved
no resolver link, observed 2026-08-02T08:21:56.752253Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T08:21:56.752253Z digest=sha256:0eaee6d49d6e05c789a09e44aa1ee430941c2851c09966ef0a114e0ca3fe3fde

Observation d6af1a70-d022-40a8-8052-c06ec3640fe1 · outbound

This paper cites Generalization in the face of adaptivity: A bayesian perspective.

Is Randomness Necessary for Adaptive Data Analysis? Generalization in the face of adaptivity: A bayesian perspective

Reference 42

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unresolved
no resolver link, observed 2026-08-02T08:21:56.755786Z

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source=arxiv_source observed=2026-08-02T08:21:56.755786Z digest=sha256:008c5ae3667bbe6fe925f284457da48424065f00a7d77d64a4be69c355cde2ea

Observation 0e6a0d91-ad08-4e94-9e38-7830dfd09794 · outbound

This paper cites Individuals and privacy in the eye of data analysis.

Is Randomness Necessary for Adaptive Data Analysis? Individuals and privacy in the eye of data analysis

Reference 43

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unresolved
no resolver link, observed 2026-08-02T08:21:56.759325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T08:21:56.759325Z digest=sha256:2db2932f099a2a22bf70fbccbb3fea1d482a9224f9c5c0248ae989fe370b8cc6

Observation 6e833702-8876-4a3b-b347-caba5cbdb800 · outbound

This paper cites Streaming algorithms for the missing item finding problem.

Is Randomness Necessary for Adaptive Data Analysis? Streaming algorithms for the missing item finding problem

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-02T08:21:56.762842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T08:21:56.762842Z digest=sha256:d109a31e9209f982c0d6926e6c1817987f237fc55601f454ef6d2b836decc45b

Observation b03d2dae-98a4-4bef-a898-5c84f36684e8 · outbound

This paper cites an unresolved cited work.

Is Randomness Necessary for Adaptive Data Analysis? Unresolved cited work

Reference 45

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unresolved
no resolver link, observed 2026-08-02T08:21:56.766208Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T08:21:56.766208Z digest=sha256:27db78eb362dc2117bd67f97aacc0610870d72933d11152565c0f8f5ae725fa3

Observation 511a4c0d-2c58-492c-87bb-00ae73d3ef5d · outbound

This paper cites Reasoning about generalization via conditional mutual information.

Is Randomness Necessary for Adaptive Data Analysis? Reasoning about generalization via conditional mutual information

Reference 46

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unresolved
no resolver link, observed 2026-08-02T08:21:56.769614Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T08:21:56.769614Z digest=sha256:b98b257b5a6c7ad51330bf95075a39069a9641f3ff29f4950af23bf307fdc4de

Observation 145cd709-90f0-42ae-9f37-3d65fd6b8c7c · outbound

This paper cites Some complexity questions related to distributive computing (preliminary report).

Is Randomness Necessary for Adaptive Data Analysis? Some complexity questions related to distributive computing (preliminary report)

Reference 47

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unresolved
no resolver link, observed 2026-08-02T08:21:56.772754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T08:21:56.772754Z digest=sha256:763beb3442b09abc0c7ce081c0a719c72a5662ca22c31db1981211f9868687f3

Pith citing papers

No inbound Pith citation observations are available.