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Paper Citation Record · LEDGER

On Differential Privacy for Adaptively Solving Search Problems via Sketching

As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 3 inbound Pith citation observations for arXiv:2506.05503.

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

pith.paper-citation-record.v1
2506.05503 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:34:58.477896Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:14:35.900597Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T21:17:48.440598Z

Reference resolution

20 of 20 outbound references displayed

  • verified exact4
  • verified fuzzy13
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f34364bd-94f7-49ce-9141-6122672aae05 · outbound

This paper cites Differentially Private Attention Computation.

On Differential Privacy for Adaptively Solving Search Problems via Sketching Differentially Private Attention Computation

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T10:34:58.384844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:34:58.384844Z digest=sha256:191475d6db5c6f574ed216800a9f91aa2468938416bf043eddefe1fce11e91fb

Observation fe23d3c1-956a-4b14-974f-107ace1e74a0 · outbound

This paper cites On Differentially Private String Distances.

On Differential Privacy for Adaptively Solving Search Problems via Sketching On Differentially Private String Distances

Reference 7

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:34:58.812389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.392014Z digest=sha256:62fcbe3a1169028d8038586cb924d3238b9a1bd894402b9fcb7819886cf05d0f

Observation 3b9c4c5b-709e-44f0-9d35-ab0a36870963 · outbound

This paper cites Differential privacy of cross- attention with provable guarantee.arXiv preprint arXiv:2407.14717,.

On Differential Privacy for Adaptively Solving Search Problems via Sketching Differential privacy of cross- attention with provable guarantee.arXiv preprint arXiv:2407.14717,

Reference 13

Resolution
verified exact
raw_fallback, observed 2026-08-07T10:34:58.639677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.430666Z digest=sha256:7923482a6a60d90c5afecbfe7e7e09b0255786656472c4ff1f0a6f0de85f4a63

Observation da209cc9-12af-4ea9-8b67-fb15c8399f28 · outbound

This paper cites On efficient retrieval of top similarity vectors.

On Differential Privacy for Adaptively Solving Search Problems via Sketching On efficient retrieval of top similarity vectors

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:34:58.993472Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.452210Z digest=sha256:c4cd786e5595b79e5680c81c821fb18d95d6fa3c2af26922feeedb6efde1e0a1

Observation c48cd1f6-fbc7-48e7-a2a6-9b98bb184bb1 · outbound

This paper cites New bounds for matrix multiplication: from alpha to omega.

On Differential Privacy for Adaptively Solving Search Problems via Sketching New bounds for matrix multiplication: from alpha to omega

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:34:58.970327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.459237Z digest=sha256:8f6f46a3c40455404a31badd9a26f2b011c34432bcd7f83fc094ae84a651a04f

Observation 98e021b3-2ba9-4e8d-93a8-109012727796 · outbound

This paper cites Woodruff and Samson Zhou.

On Differential Privacy for Adaptively Solving Search Problems via Sketching Woodruff and Samson Zhou

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:34:58.944806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.464645Z digest=sha256:f9abfc04c74bdb759736bf838a17f0e83f0a4f6e33bca21e7d793dc2314f3a21

Observation e0b6195c-db5c-4fdc-96e3-65be8026cafb · outbound

This paper cites an unresolved cited work.

On Differential Privacy for Adaptively Solving Search Problems via Sketching Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:34:58.914871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.471463Z digest=sha256:79d04b685e4df3d64266a9045db81dec58d9b24566cb55dd2cb07dea1d7d2298

Observation ed701b51-13b1-4cc1-975b-6af4bd441a39 · outbound

This paper cites Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, and Huishuai Zhang.

On Differential Privacy for Adaptively Solving Search Problems via Sketching Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, and Huishuai Zhang

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:34:58.889097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.477896Z digest=sha256:839227d1f3d2e8d508dbbda577b7a2efd24af5e1fecd99307762d0e21101695a

Observation bf6174cb-28ab-4862-949b-13968698ec5e · outbound

This paper cites Dpbloomfilter: Securing bloom filters with differential privacy.arXiv preprint arXiv:2502.00693,.

On Differential Privacy for Adaptively Solving Search Problems via Sketching Dpbloomfilter: Securing bloom filters with differential privacy.arXiv preprint arXiv:2502.00693,

Reference 2004

Resolution
verified exact
raw_fallback, observed 2026-08-07T10:34:58.784689Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.402351Z digest=sha256:b1c36da502b973d5640425db044c10cdf29b5f99f88e3539f2a3099f6a3fb8f0

Observation ae5e2647-e4fa-4d83-ad5a-5b5b4a1242b1 · outbound

This paper cites Evaluating differentially private machine learn- ing in practice.

On Differential Privacy for Adaptively Solving Search Problems via Sketching Evaluating differentially private machine learn- ing in practice

Reference 2006

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:34:59.126793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.397343Z digest=sha256:41c09bed904247f317802f06b9d908fab3f0f35b74d1f1bdd5f27bb7f4d21bdf

Observation b0a2fdfc-ca12-4879-b32d-5339333b683c · outbound

This paper cites [CS21] Benjamin Coleman and Anshumali Shrivastava.

On Differential Privacy for Adaptively Solving Search Problems via Sketching [CS21] Benjamin Coleman and Anshumali Shrivastava

Reference 2012

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:34:59.150660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.371467Z digest=sha256:be0aed67e22e309813369000e0c52bede7f6cf43da7c723720943d39234ae8b3

Observation d6ce2e36-00ad-46f4-9f36-70db1c1e8058 · outbound

This paper cites Faster rectangular matrix multiplication by combination loss anal- ysis.

On Differential Privacy for Adaptively Solving Search Problems via Sketching Faster rectangular matrix multiplication by combination loss anal- ysis

Reference 2013

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:34:59.106035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.408067Z digest=sha256:1ad20e8c3bb0c4cd34537e7c6e2a6869dc28a2b9f56a96d15dd0a65d6f048984

Observation bb204669-56d3-407e-993e-5de0da9b6c93 · outbound

This paper cites Announcing scann: Efficient vector similarity search.https: // blog.

On Differential Privacy for Adaptively Solving Search Problems via Sketching Announcing scann: Efficient vector similarity search.https: // blog

Reference 2014

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:34:59.020855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.445094Z digest=sha256:4715338a39cb902e7b9e1f6280e13f22c0983c074d132387b3bb2c1bddb4d99e

Observation 6b771b8f-6365-471e-97ab-09cc4d132cdc · outbound

This paper cites Near-optimal private and scalablek-clustering.

On Differential Privacy for Adaptively Solving Search Problems via Sketching Near-optimal private and scalablek-clustering

Reference 2019

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:34:59.171263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.365329Z digest=sha256:8fd3e35433cb638b6017598832ca502e5ca27ac0d88263af1c3d6ac2735ec2b9

Observation 9037a66b-7c10-42d8-9656-f1b5ec17a8de · outbound

This paper cites Liu, Richard Peng, and Aaron Sidford.

On Differential Privacy for Adaptively Solving Search Problems via Sketching Liu, Richard Peng, and Aaron Sidford

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:34:59.203325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.359472Z digest=sha256:86d74ba5d5086a6748e6ac49c1e612248b48f8cd102f326ad44730b5f45130f7

Observation 323fac80-19b6-452a-a994-8131e1107482 · outbound

This paper cites Near-Optimal Differentially Private k-Core Decomposition.

On Differential Privacy for Adaptively Solving Search Problems via Sketching Near-Optimal Differentially Private k-Core Decomposition

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T10:34:58.379359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:34:58.379359Z digest=sha256:49a7582a00064c0f455ed1d443170759d575f031fe400e3fbaf00220826c3b4a

Observation ef35fe82-2ad8-4c06-b530-15dc8172bfb3 · outbound

This paper cites Deep learning with differential privacy.

On Differential Privacy for Adaptively Solving Search Problems via Sketching Deep learning with differential privacy

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:34:59.228291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.352179Z digest=sha256:a4c9d70554a3d58645aba7c7ac5a5b19cc402961c47a7a8cf6870e17420bbb93

Observation 1ab30e8b-4e32-4641-92df-28e806381c27 · outbound

This paper cites A survey of collaborative filtering tech- niques.Advances in artificial intelligence, 2009,.

On Differential Privacy for Adaptively Solving Search Problems via Sketching A survey of collaborative filtering tech- niques.Advances in artificial intelligence, 2009,

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:34:59.055327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.439533Z digest=sha256:fcfa6b949c8edd30bd426d051acbd9f78810bb0f964c389daef9cbedb3faa294

Observation 34a4c74f-e32f-46d9-a1a6-014d6f58d25d · outbound

This paper cites Differentially Private Kernel Density Estimation.

On Differential Privacy for Adaptively Solving Search Problems via Sketching Differentially Private Kernel Density Estimation

Reference 2024

Resolution
verified exact
local_arxiv, observed 2026-08-07T10:34:58.676399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.413696Z digest=sha256:74a69730bbb467a0fe4d5a2a676ac29648c4eced92168779f98118cc105af5dc

Observation d5c1773c-c78e-4942-b7a7-ffee04de8d30 · outbound

This paper cites Li, Dung Nguyen, and Anil Vullikanti.

On Differential Privacy for Adaptively Solving Search Problems via Sketching Li, Dung Nguyen, and Anil Vullikanti

Reference 2025

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:34:59.078316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T10:34:58.419745Z digest=sha256:a472719eb430700f1ce346e8d3f9042d38a29e342131639de88092990da4c763

Pith citing papers

Observation e0f34e80-cd74-40de-adfa-d2195b7afb76 · inbound

ALPINE: Closed-Loop Adaptive Privacy Budget Allocation for Mobile Edge Crowdsensing cites this paper.

ALPINE: Closed-Loop Adaptive Privacy Budget Allocation for Mobile Edge Crowdsensing On Differential Privacy for Adaptively Solving Search Problems via Sketching

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-05-18T06:25:58.752548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T06:23:27.723503Z digest=sha256:71c506c1f6103805aeb3c2d6888350a2bf592d88517b3a0fce38c4d656a73a70

Observation bfa7bd76-c5c7-4508-b246-0112aa56a3bd · inbound

Adversarially Robust Approximate Furthest Neighbor cites this paper.

Adversarially Robust Approximate Furthest Neighbor On Differential Privacy for Adaptively Solving Search Problems via Sketching

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:17:48.443549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=arxiv_source observed=2026-05-19T21:16:16.772920Z digest=sha256:1f30b73c3916334ad108171d41f911de1c2d3d9630808fa08701816ac7beaa6a

Observation 821916fd-9291-4586-9626-612061ccab8d · inbound

The Adversarial Robustness of Sketching and Streaming Algorithms cites this paper.

The Adversarial Robustness of Sketching and Streaming Algorithms On Differential Privacy for Adaptively Solving Search Problems via Sketching

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-02T02:14:35.900597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:14:35.900597Z digest=sha256:9b95f1f9b8e6a92f1876286fdbae208ece3d8c30f197266f69c181ee46309fec