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Paper Citation Record · LEDGER

Differentially Private Consistent Release of Counting Queries

As of 16 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2607.10952.

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

pith.paper-citation-record.v1
2607.10952 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-14T08:05:47.963985Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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 fuzzy0
  • unresolved19
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 14e0da94-4dcd-4a3a-9133-192de0d5e098 · outbound

This paper cites Calibrating noise to sensitivity in private data analysis,.

Differentially Private Consistent Release of Counting Queries Calibrating noise to sensitivity in private data analysis,

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:fdaa9d48e88c95c28edeea3cb12bd4f3970b33665cba1f1cf29e150037d5a9e7

Observation 894a7d1e-6f83-45fb-97e3-ee753c6e90a6 · outbound

This paper cites Dwork and A.

Differentially Private Consistent Release of Counting Queries Dwork and A

Reference 2

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:a872015b9ee9ebcf1adfd80c903ce16f97e0194743bd80bf9ba180170b6a8d1b

Observation 0d3448df-937a-46fc-bc31-33c9bc184e7c · outbound

This paper cites The algorithmic foundations of differential privacy,.

Differentially Private Consistent Release of Counting Queries The algorithmic foundations of differential privacy,

Reference 3

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:73e15900114862be5c5c270529e2953b24e46fdb54bac0e81fbe3001bb80644d

Observation c45203fd-c045-46b7-9c78-d5b2e2c6e945 · outbound

This paper cites Deep learning with differential privacy,.

Differentially Private Consistent Release of Counting Queries Deep learning with differential privacy,

Reference 4

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:8584e9647b6e7762decbbc968caa3f4a54467d761adfedcbd2488a4639db9293

Observation 8d35538f-412d-4d3a-b518-963a11379c45 · outbound

This paper cites Deep Learning with Gaussian Differential Privacy.

Differentially Private Consistent Release of Counting Queries Deep Learning with Gaussian Differential Privacy

Reference 5

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:f1a510cb8667656fb1de201734e3f00d7aba6de43ca7fbd258befbfea340c2c7

Observation ba710285-cd7c-4a46-a1e5-fe1df4270055 · outbound

This paper cites The optimal mechanism in differential privacy,.

Differentially Private Consistent Release of Counting Queries The optimal mechanism in differential privacy,

Reference 6

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no resolver link, observed 2026-07-14T08:05:47.963985Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:bb40484052edd6c76e6474d8e2ae09b5ce4abb21ada5ddba297f94b9a765f0bb

Observation 1d1993a3-a8b8-46f0-a447-3914b7c636ef · outbound

This paper cites Differentially private data publishing and analysis: A survey,.

Differentially Private Consistent Release of Counting Queries Differentially private data publishing and analysis: A survey,

Reference 7

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:3f65cd4b437d623d19343957a25c18bb9cc1365fc7c44389c20d22989a16c608

Observation 0ec9e25b-7b19-42d4-a07d-f9a791ed818a · outbound

This paper cites Towards Practical Differential Privacy for SQL Queries,.

Differentially Private Consistent Release of Counting Queries Towards Practical Differential Privacy for SQL Queries,

Reference 8

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malformed identifier
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Source-reported events for the cited work

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:fa188ed4e4a4e19418c0b0b0b35cba1de53f52e2a55e1cf65ac278bae1032792

Observation 5ef9f98f-af47-4f32-b071-e47bdfc21ead · outbound

This paper cites Privacy-preserving datamining on vertically partitioned databases,.

Differentially Private Consistent Release of Counting Queries Privacy-preserving datamining on vertically partitioned databases,

Reference 9

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:28e06c23d4f0772e7e0e3e8680f8fe3ef62f5c9e4a1ef1e7cd9c1a07de48ab93

Observation 46aae2c0-9475-418f-b236-4545e883a082 · outbound

This paper cites Robust de-anonymization of large sparse datasets,.

Differentially Private Consistent Release of Counting Queries Robust de-anonymization of large sparse datasets,

Reference 10

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:b398c91d5f8f366885db858ffe3fad5bdf933665965a6fb95325daaa2df47d33

Observation 52852bbb-f378-44e5-9307-e71b6f96babd · outbound

This paper cites Privacy, accuracy, and consistency too: A holistic solution to contingency table release,.

Differentially Private Consistent Release of Counting Queries Privacy, accuracy, and consistency too: A holistic solution to contingency table release,

Reference 11

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:ecb11f31ef5643bd679ef212b753d74c6d5ea124babfe70ebfcd9ca098ecb261

Observation d289b384-f4c5-4919-baf0-451c2c5f467a · outbound

This paper cites Mechanism design via differential privacy,.

Differentially Private Consistent Release of Counting Queries Mechanism design via differential privacy,

Reference 12

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:e84e4d0ba321e8e5c9864d26b3e7b9ee55f4adc8511a5ea58f330d4b03055200

Observation f04e891c-74a8-4483-ada2-4a557d656c0e · outbound

This paper cites Universally Utility-Maximizing Privacy Mechanisms.

Differentially Private Consistent Release of Counting Queries Universally Utility-Maximizing Privacy Mechanisms

Reference 13

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:5986eec93644bf5f8e053672656349d23ff09d75872269d973b425cdf2562f10

Observation 51db7487-64bf-4f24-a949-0717a5004e20 · outbound

This paper cites Differential privacy for functions and functional data,.

Differentially Private Consistent Release of Counting Queries Differential privacy for functions and functional data,

Reference 14

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:d3891ae2abf5d9ffdf4d04db983573d5428d8971bebe4eb3e6cc7ea5fb71e57c

Observation 50e84573-650c-4a3a-84c2-b188a29a3078 · outbound

This paper cites Universally optimal privacy mechanisms for minimax agents,.

Differentially Private Consistent Release of Counting Queries Universally optimal privacy mechanisms for minimax agents,

Reference 15

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:f76856f29301a1fd6440d72419ffa6f232d1019d81bb4e5e25eea329df017008

Observation ee22faec-ff21-47a6-9dca-fcbabb689f87 · outbound

This paper cites The optimal noise-adding mechanism in differential privacy,.

Differentially Private Consistent Release of Counting Queries The optimal noise-adding mechanism in differential privacy,

Reference 16

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:fb819ba794dbf1d7f289cddd97b5b5844a725ae5428f88bca6a86397c98a3e53

Observation dfc5f044-1c0b-44d7-94a7-3f348d4084fa · outbound

This paper cites Tight analysis of privacy and utility tradeoff in approximate differential privacy,.

Differentially Private Consistent Release of Counting Queries Tight analysis of privacy and utility tradeoff in approximate differential privacy,

Reference 17

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:5c24fa71779d01f9173b5342ad7e5497b07439a877751bd7a76fabf0f560a6ef

Observation f08a5d7b-0ee7-40be-81f9-b4fd3d09c21c · outbound

This paper cites Varga,Ger ˇsgorin and His Circles, ser.

Differentially Private Consistent Release of Counting Queries Varga,Ger ˇsgorin and His Circles, ser

Reference 18

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:dd7c0d305516bdcaaec7c54c9dda2e5cf3d38223644808cd10d1b78bb7b7bd4b

Observation 874b1d73-13ea-4a2f-ae59-18ee0f8f3782 · outbound

This paper cites an unresolved cited work.

Differentially Private Consistent Release of Counting Queries Unresolved cited work

Reference 19

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:b1a9ac8bd04837ffecb089f421114c5c29ea49652af956cdb6e59deb2c98baa7

Observation b8b2f6c6-bec2-4006-af0e-4aca416a47b3 · outbound

This paper cites an unresolved cited work.

Differentially Private Consistent Release of Counting Queries Unresolved cited work

Reference 20

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source=pdf_text observed=2026-07-14T08:05:47.963985Z digest=sha256:86b8d195294318e7399a01100b46e9ae281b277fab3311c497a5b8d9c5bfd9ec

Pith citing papers

No inbound Pith citation observations are available.