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Paper Citation Record · LEDGER

A Simple and Robust Protocol for Distributed Counting

As of 23 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 0 inbound Pith citation observations for arXiv:2509.05870.

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

pith.paper-citation-record.v1
2509.05870 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:31:29.150588Z

measured 68 of 68 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

68 of 68 outbound references displayed

  • verified exact0
  • verified fuzzy63
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c65e8a8-8655-4bfe-a4b7-0e9907f96029 · outbound

This paper cites Functional monitoring without monotonicity.

A Simple and Robust Protocol for Distributed Counting Functional monitoring without monotonicity

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:28.942401Z digest=sha256:dba5dd3287c53d819cd0718d33ea6b020de22174ffe9c284bee61dbcec6ace9c

Observation 73492a8a-99be-4bc1-9e46-650646dc2939 · outbound

This paper cites Adversarial laws of large numbers and optimal regret in online classification.

A Simple and Robust Protocol for Distributed Counting Adversarial laws of large numbers and optimal regret in online classification

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:28.946081Z digest=sha256:7134899f889b0083379857ae92dd56cd46d343991046c8f81b19c0bdcd62599a

Observation c411ac06-99a8-4099-89ea-2d6cea81e2d3 · outbound

This paper cites A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators.

A Simple and Robust Protocol for Distributed Counting A Framework for Adversarial Streaming via Differential Privacy and Difference Estimators

Reference 3

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unresolved
no resolver link, observed 2026-08-15T16:31:28.949099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:31:28.949099Z digest=sha256:4c75c56012ddc460929cd9afe7853502ca79557b70c3079474debb175c347705

Observation 7269df88-5381-4df2-bc2a-f26a9ff2d7eb · outbound

This paper cites Rounds vs communication tradeoffs for maximal independent sets.

A Simple and Robust Protocol for Distributed Counting Rounds vs communication tradeoffs for maximal independent sets

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:28.953021Z digest=sha256:ac91b88ea3836997d78b9c9ac558eda5350de8e14783fb586241339ff50e4cb7

Observation 0d014075-4508-4152-ae2f-8bd18aa00ef3 · outbound

This paper cites Deterministic decremental single source shortest paths: beyond the O (mn) bound.

A Simple and Robust Protocol for Distributed Counting Deterministic decremental single source shortest paths: beyond the O (mn) bound

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.768913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:28.956235Z digest=sha256:104dca3fa9a24cba074f9de3d4833b0f23e035b76930fcf78b5fba94d4675a2b

Observation a6c49e6f-c553-480f-9cac-6b8f18dc2f86 · outbound

This paper cites Deterministic partially dynamic single source shortest paths for sparse graphs.

A Simple and Robust Protocol for Distributed Counting Deterministic partially dynamic single source shortest paths for sparse graphs

Reference 6

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raw_fallback, observed 2026-08-15T16:31:29.759869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:28.959454Z digest=sha256:fd65262021b27c10974a5bab87527b45054c980122f1cdfe32c987b36b315264

Observation 37dc4c94-73cf-453c-8b32-f55e62f95efe · outbound

This paper cites A framework for adversarially robust streaming algorithms.

A Simple and Robust Protocol for Distributed Counting A framework for adversarially robust streaming algorithms

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:28.962881Z digest=sha256:04b57333ab8d5c92838859943d5c5fc4bc1e51c9bd64d9aedfa2a294300f8bed

Observation 78e7ec1e-b20a-4b34-8810-d32de2b6faa4 · outbound

This paper cites Adversarially robust streaming via dense-sparse trade-offs.

A Simple and Robust Protocol for Distributed Counting Adversarially robust streaming via dense-sparse trade-offs

Reference 8

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raw_fallback, observed 2026-08-15T16:31:29.741411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:28.966683Z digest=sha256:8231a059e8a7567b21e0a58bc3f67dd3ee1f917476e286fe3110fd242500eb98

Observation d9da1829-c691-46c0-9082-06a50ed8842d · outbound

This paper cites Deterministic partially dynamic single source shortest paths in weighted graphs.

A Simple and Robust Protocol for Distributed Counting Deterministic partially dynamic single source shortest paths in weighted graphs

Reference 9

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raw_fallback, observed 2026-08-15T16:31:29.731978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:28.969884Z digest=sha256:be23618127b6e8d8d32a07fbd68bf28e20d714f4ddbe3653edb99b0d121a5448

Observation ce8d0004-d43a-4ca7-aff0-4074caa2fdca · outbound

This paper cites Italiano.

A Simple and Robust Protocol for Distributed Counting Italiano

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:28.973114Z digest=sha256:d4beba348eb52575628fb96593b5718aef2559c0fa471bdd98e13351d302b1c1

Observation 47d38ebc-2a7f-46b1-9a10-46027247eff1 · outbound

This paper cites Adversarial robustness of streaming algorithms through importance sampling.

A Simple and Robust Protocol for Distributed Counting Adversarial robustness of streaming algorithms through importance sampling

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:28.976219Z digest=sha256:2e6a494b830d97f4b8d34d8007fa841e1efe8aac3af07570f05812db5d67b0f2

Observation 324e6417-fef1-4a81-9644-1a277591816a · outbound

This paper cites New deterministic approximation algorithms for fully dynamic matching.

A Simple and Robust Protocol for Distributed Counting New deterministic approximation algorithms for fully dynamic matching

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:28.979386Z digest=sha256:87cfd3a22d991c5875df94aa72973f636bde0a54b7d4a5f8a1cae1c6ba34831e

Observation 3f1b6d7a-c66d-48d8-a0fe-35d89100a8a1 · outbound

This paper cites Fully dynamic approximate maximum matching and minimum vertex cover in O(log\( ^ 3 \) n) worst case update time.

A Simple and Robust Protocol for Distributed Counting Fully dynamic approximate maximum matching and minimum vertex cover in O(log\( ^ 3 \) n) worst case update time

Reference 13

Resolution
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raw_fallback, observed 2026-08-15T16:31:29.693742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:28.982444Z digest=sha256:de8f67b5809707b31fb612b8925e8729fdc7b799aa9b99d156b1f709d0555dda

Observation f9f527d7-6224-4b93-a177-4d16cb6d87fe · outbound

This paper cites Deterministically maintaining a (2+ ) -approximate minimum vertex cover in O (1/ ^2) amortized update time.

A Simple and Robust Protocol for Distributed Counting Deterministically maintaining a (2+ ) -approximate minimum vertex cover in O (1/ ^2) amortized update time

Reference 14

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raw_fallback, observed 2026-08-15T16:31:29.684231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:28.985455Z digest=sha256:d32a6e1bdd02d0054468a3253f9fad64811b5b3f894437aa3813845e0ab153c9

Observation 824f3c16-5113-4cc9-8a25-33321a55f608 · outbound

This paper cites Deterministic rounding of dynamic fractional matchings.

A Simple and Robust Protocol for Distributed Counting Deterministic rounding of dynamic fractional matchings

Reference 15

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raw_fallback, observed 2026-08-15T16:31:29.674682Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:28.988382Z digest=sha256:260eee52ad8f4a5fc115f3c4fa0bead83274a98016e7a35fd829ee8204158354

Observation 25d09ada-dde5-4223-a61e-5b07fbb7379e · outbound

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

A Simple and Robust Protocol for Distributed Counting Dynamic algorithms against an adaptive adversary: generic constructions and lower bounds

Reference 16

Resolution
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raw_fallback, observed 2026-08-15T16:31:29.665433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:28.991335Z digest=sha256:3b68321e430668559c62ffab5ae39555a7cdf613bbae9b86fd7104d47e269920

Observation 417983e5-ac1f-433d-aa2a-a923f3ab751e · outbound

This paper cites Concentration Inequalities: A Nonasymptotic Theory of Independence.

A Simple and Robust Protocol for Distributed Counting Concentration Inequalities: A Nonasymptotic Theory of Independence

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-15T16:31:28.994283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:31:28.994283Z digest=sha256:e199d7e58b329087034c13ed670fa3880a7e3ec9979b86c576db8be981b0d8ab

Observation 7033e9a1-6ef5-4500-8e03-ca1a4269657b · outbound

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

A Simple and Robust Protocol for Distributed Counting Smith, Thomas Steinke, Uri Stemmer, and Jonathan R

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 9fe9d52c-fb2b-4fb0-be35-399fa31b6692 · outbound

This paper cites A rounds vs.

A Simple and Robust Protocol for Distributed Counting A rounds vs

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.000300Z digest=sha256:647812553749288955f2e2b72c3ebfa16e199b492ee2690c084d8ce28f207c2e

Observation 4b8347be-abc9-46e1-8571-7b7fc64bc530 · outbound

This paper cites A deterministic algorithm for balanced cut with applications to dynamic connectivity, flows, and beyond.

A Simple and Robust Protocol for Distributed Counting A deterministic algorithm for balanced cut with applications to dynamic connectivity, flows, and beyond

Reference 20

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raw_fallback, observed 2026-08-15T16:31:29.632315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.003399Z digest=sha256:c5f7fc2fc2f88fc9895a971a2b3acd8a7beaedf4319c4ab3829692ab01353020

Observation a3583bb2-af2d-4c9c-8273-f5fca0721b1a · outbound

This paper cites Holistic aggregates in a networked world: Distributed tracking of approximate quantiles.

A Simple and Robust Protocol for Distributed Counting Holistic aggregates in a networked world: Distributed tracking of approximate quantiles

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.006172Z digest=sha256:e6bbba61cb485a15e6f03d8b98ad6ebabf9796970b7a9c01ff82ccffed898edc

Observation 57b0942f-f2f0-493a-99b4-3b29578e44cc · outbound

This paper cites Adversarially robust coloring for graph streams.

A Simple and Robust Protocol for Distributed Counting Adversarially robust coloring for graph streams

Reference 22

Resolution
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raw_fallback, observed 2026-08-15T16:31:29.613853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.009157Z digest=sha256:6fc887879b004cda2ad45bfc1c914db6b3fc61703e90bee0883907ba4b69c1b9

Observation 30e913eb-24da-40d9-b686-14ec7422c5e9 · outbound

This paper cites Decremental all-pairs shortest paths in deterministic near-linear time.

A Simple and Robust Protocol for Distributed Counting Decremental all-pairs shortest paths in deterministic near-linear time

Reference 23

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raw_fallback, observed 2026-08-15T16:31:29.604909Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.011987Z digest=sha256:9616bc743ec9bf1f37e746ac3c22d06b235f1c917526daea75b15ea5fb0cf1e0

Observation 67d77bd5-7d23-4fd2-98c3-fa0d8ba5ee1b · outbound

This paper cites A new algorithm for decremental single-source shortest paths with applications to vertex-capacitated flow and cut problems.

A Simple and Robust Protocol for Distributed Counting A new algorithm for decremental single-source shortest paths with applications to vertex-capacitated flow and cut problems

Reference 24

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raw_fallback, observed 2026-08-15T16:31:29.595720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.014918Z digest=sha256:79e1a2c872a99f6982998d9a7616ebd38cf2c2eafb0f1af509520902c801a966

Observation 2a3d2caf-d6df-422c-b24a-d771323db719 · outbound

This paper cites On the robustness of countsketch to adaptive inputs.

A Simple and Robust Protocol for Distributed Counting On the robustness of countsketch to adaptive inputs

Reference 25

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raw_fallback, observed 2026-08-15T16:31:29.586899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.017893Z digest=sha256:3ff85aee89b313785aedd866b61222aa9e0bd1f5b8bc455a3e696342b446b65f

Observation 229a151c-ed01-4a62-9888-35e7160c4fe5 · outbound

This paper cites Muthukrishnan, and Ke Yi.

A Simple and Robust Protocol for Distributed Counting Muthukrishnan, and Ke Yi

Reference 26

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raw_fallback, observed 2026-08-15T16:31:29.577846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.020856Z digest=sha256:4ec85da616369d242d537c0d49771cf5f105609aeb4285e0dc8d55943b7c1ff6

Observation 80db82dd-9291-44b8-9b05-a055f860d657 · outbound

This paper cites Continuous sampling from distributed streams.

A Simple and Robust Protocol for Distributed Counting Continuous sampling from distributed streams

Reference 27

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raw_fallback, observed 2026-08-15T16:31:29.568917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.023905Z digest=sha256:a74f3635aeec43a25d8b643ab233e0153f5f14a1bba0b73786b732a66c334ac5

Observation b7cd6a0c-4b80-4cf5-aefe-e3d24dd8b760 · outbound

This paper cites The continuous distributed monitoring model.

A Simple and Robust Protocol for Distributed Counting The continuous distributed monitoring model

Reference 28

Resolution
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raw_fallback, observed 2026-08-15T16:31:29.560067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.026976Z digest=sha256:d60c1536338647d92e7ab34e309db347934ecd3e048e28a488ce609a18521bb9

Observation e27cbdf7-917e-4e1e-9297-53783dc190e7 · outbound

This paper cites Deterministic algorithms for decremental shortest paths via layered core decomposition.

A Simple and Robust Protocol for Distributed Counting Deterministic algorithms for decremental shortest paths via layered core decomposition

Reference 29

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raw_fallback, observed 2026-08-15T16:31:29.551489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.030008Z digest=sha256:0a0b8ea02e19b596753ad8c387e91e0fb090638f162ec3ca18eefbb0ec7f98a8

Observation fb3fe65d-423b-4ec5-a697-50183b2a8e9e · outbound

This paper cites Woodruff, Fred Zhang, Qiuyi Zhang, and Samson Zhou.

A Simple and Robust Protocol for Distributed Counting Woodruff, Fred Zhang, Qiuyi Zhang, and Samson Zhou

Reference 30

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raw_fallback, observed 2026-08-15T16:31:29.542665Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.033035Z digest=sha256:304a907037b2aba0f02544438ea4ed1afe0755e681ef8e4112375dfeba892119

Observation ff57b5d5-17d1-4c98-bcb6-3777f2b690b1 · outbound

This paper cites Improved algorithms for distributed entropy monitoring.

A Simple and Robust Protocol for Distributed Counting Improved algorithms for distributed entropy monitoring

Reference 31

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raw_fallback, observed 2026-08-15T16:31:29.533542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.036136Z digest=sha256:6957e0118074e4a8956a090fdc8ed23344d1a4ad1947d41f95e5845547a52224

Observation 9b442d0e-8067-40d3-a8c1-9d318a6e9281 · outbound

This paper cites Multiparty communication complexity.

A Simple and Robust Protocol for Distributed Counting Multiparty communication complexity

Reference 32

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raw_fallback, observed 2026-08-15T16:31:29.524557Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.039092Z digest=sha256:75e132b2b549189eee7c8d098816077c209f79c60f52a6c88706d07b40a313e4

Observation 019b58e8-a6d3-4928-8286-90e308bf9b69 · outbound

This paper cites Preserving statistical validity in adaptive data analysis.

A Simple and Robust Protocol for Distributed Counting Preserving statistical validity in adaptive data analysis

Reference 33

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raw_fallback, observed 2026-08-15T16:31:29.516081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.042115Z digest=sha256:4f0787af2e1d5efcd335cb15715566fb220adfca17212785ebeb0c49cc205a6c

Observation dc5d4e86-0951-48cc-8576-0d5ea3275c29 · outbound

This paper cites Rothblum.

A Simple and Robust Protocol for Distributed Counting Rothblum

Reference 34

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raw_fallback, observed 2026-08-15T16:31:29.507144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.045277Z digest=sha256:e4bc6abbb568415b1e9158800688ba896b764ccc897cf73f5415e323fc2eaa63

Observation 90f24a19-117b-4f08-a7a4-61fccfb15091 · outbound

This paper cites On the complexity of differentially private data release: efficient algorithms and hardness results.

A Simple and Robust Protocol for Distributed Counting On the complexity of differentially private data release: efficient algorithms and hardness results

Reference 35

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raw_fallback, observed 2026-08-15T16:31:29.496381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.048268Z digest=sha256:b80f11d2e00d5ba09d75f984b9d5d95c1d639ec898351e3dcdb9461d952730fb

Observation 95c7c874-f103-4bf2-9f66-ecb1195398c8 · outbound

This paper cites Efficient reactive monitoring.

A Simple and Robust Protocol for Distributed Counting Efficient reactive monitoring

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.486717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.051325Z digest=sha256:bb735e1002c39e78e2377ff0171c0a21aab25425203995a3b8b0734535ee2d63

Observation 91c5d6e8-8e20-4b55-86b0-7a8e21a6aead · outbound

This paper cites Optimal communication bounds for classic functions in the coordinator model and beyond.

A Simple and Robust Protocol for Distributed Counting Optimal communication bounds for classic functions in the coordinator model and beyond

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.477851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.054332Z digest=sha256:16cb041157dc006b5b73621934560dfd34539dad2fd452072999978ade6ed091

Observation 7bd21352-b148-4073-a718-642ef86f76b7 · outbound

This paper cites Adaptive machine unlearning.

A Simple and Robust Protocol for Distributed Counting Adaptive machine unlearning

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.468207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.057234Z digest=sha256:9434ac3e82c87372e5cc40df6f7ea5d3cd21cb4df7bc0bf56d81d93419962354

Observation 687067b4-9cff-49d6-811a-bc4cf35612e2 · outbound

This paper cites New algorithms and hardness for incremental single-source shortest paths in directed graphs.

A Simple and Robust Protocol for Distributed Counting New algorithms and hardness for incremental single-source shortest paths in directed graphs

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.459110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.059936Z digest=sha256:e1d844e9cd1137257298fed6c1f71d08a7a4386dc67046edeb27d9833b1160bd

Observation 1b06bfd2-d704-4be8-9359-6b6c187e414d · outbound

This paper cites Decremental SSSP in weighted digraphs: Faster and against an adaptive adversary.

A Simple and Robust Protocol for Distributed Counting Decremental SSSP in weighted digraphs: Faster and against an adaptive adversary

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.449957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.062898Z digest=sha256:7794ee8cde9fb1fc4f4added9ca8f71df2f387b59e0d33d9c9d035b07c81064f

Observation 55823df3-63c3-4a4e-b12c-cf788046b917 · outbound

This paper cites Deterministic algorithms for decremental approximate shortest paths: Faster and simpler.

A Simple and Robust Protocol for Distributed Counting Deterministic algorithms for decremental approximate shortest paths: Faster and simpler

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.440353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.065879Z digest=sha256:9ba2afd6407a467e433af7eee3edc825764489317a9881f5bcf9aae1c5bd777d

Observation e74354e0-1535-4267-b5bf-144d17ed2530 · outbound

This paper cites Poly-logarithmic deterministic fully-dynamic algorithms for connectivity, minimum spanning tree, 2-edge, and biconnectivity.

A Simple and Robust Protocol for Distributed Counting Poly-logarithmic deterministic fully-dynamic algorithms for connectivity, minimum spanning tree, 2-edge, and biconnectivity

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.431127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.068810Z digest=sha256:e85470427a1eb9f146eb5752fc8c9281e2f39fa33c3007cef58dae0519ee557d

Observation 5803d934-c233-4651-a6f1-d4f4918b0f73 · outbound

This paper cites Adversarially robust streaming algorithms via differential privacy.

A Simple and Robust Protocol for Distributed Counting Adversarially robust streaming algorithms via differential privacy

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.421577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.071895Z digest=sha256:76b40bbbc1180d4235d4f8aa967161e55ebdd1823b2f4a79cf645fdf50a4fa43

Observation 939af5f7-553b-46d4-a2a0-b76d052cf579 · outbound

This paper cites Communication-efficient distributed covariance sketch, with application to distributed pca.

A Simple and Robust Protocol for Distributed Counting Communication-efficient distributed covariance sketch, with application to distributed pca

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.412202Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.075127Z digest=sha256:cb44347297fce8e5c33783ca5641fe3ff62a7f133eb8e83f7aaa197f2ddadafb

Observation 9378c0a9-fa11-4d97-aebf-57b1b2dc9925 · outbound

This paper cites an unresolved cited work.

A Simple and Robust Protocol for Distributed Counting Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-15T16:31:29.402537Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.078162Z digest=sha256:618d88e44f7c7682d172ab3a68261144935a1f3c829fa73f24a6583947accc46

Observation f2152091-0620-4d1c-ae20-81617f12fdb2 · outbound

This paper cites Simple and optimal algorithms for heavy hitters and frequency moments in distributed models.

A Simple and Robust Protocol for Distributed Counting Simple and optimal algorithms for heavy hitters and frequency moments in distributed models

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.392490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.081107Z digest=sha256:ddb5792c8e5223cad06cd68d25831546a6d829ce3d4d9d09576761cd5b53beda

Observation 49201843-edb5-4425-b66e-bd07236a6288 · outbound

This paper cites The communication complexity of distributed epsilon-approximations.

A Simple and Robust Protocol for Distributed Counting The communication complexity of distributed epsilon-approximations

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.382805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.084178Z digest=sha256:ee24fba83e1c9e3e0fad84cf38a4ba8a6bb6e8532a9259b69b5d81877c18d187

Observation adfe9d78-1228-47d6-9a37-a7fc13487376 · outbound

This paper cites Randomized algorithms for tracking distributed count, frequencies, and ranks.

A Simple and Robust Protocol for Distributed Counting Randomized algorithms for tracking distributed count, frequencies, and ranks

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.373351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.087098Z digest=sha256:6b9e79d8c0e1147fa41501b233bf77697f8af4fc8f6da552be844ac01a93d0c3

Observation 23185522-96c3-4115-bc42-7b366f7548af · outbound

This paper cites Communication-efficient distributed monitoring of thresholded counts.

A Simple and Robust Protocol for Distributed Counting Communication-efficient distributed monitoring of thresholded counts

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.363901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.090124Z digest=sha256:5f7c2799dcccc08f845f9f818416abda6c5c30fba78ed6cf7e2a12f816aeb79f

Observation 69a2bc8d-13be-4f95-b7d4-066612bb219a · outbound

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

A Simple and Robust Protocol for Distributed Counting Separating adaptive streaming from oblivious streaming using the bounded storage model

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.354663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.093306Z digest=sha256:ba724378d8fb3523f5eb43acb7872bf0f0d52a914f7c7e3ec1f6ffdad1bef4ff

Observation ed66fa91-b5d0-4c47-afb5-e557ed70e3f7 · outbound

This paper cites Probability and computing: Randomization and probabilistic techniques in algorithms and data analysis.

A Simple and Robust Protocol for Distributed Counting Probability and computing: Randomization and probabilistic techniques in algorithms and data analysis

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-15T16:31:29.096341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:31:29.096341Z digest=sha256:b6866bda2029c54ff8fe774331c1ba73df0d2e3014071e6c71583b622bc1acd2

Observation 2f576068-abb4-48ab-8f61-f4a053321873 · outbound

This paper cites Dynamic spanning forest with worst-case update time: adaptive, L as vegas, and O (n^ 1/2- ) -time.

A Simple and Robust Protocol for Distributed Counting Dynamic spanning forest with worst-case update time: adaptive, L as vegas, and O (n^ 1/2- ) -time

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.340041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.099563Z digest=sha256:da0bb0b903cb8c4b1f5b8c3616395fdd98791ea5a6fefa0a704c3dded22af993

Observation f62466c2-81a7-41a4-b645-6e5e6b1d72c2 · outbound

This paper cites Dynamic minimum spanning forest with subpolynomial worst-case update time.

A Simple and Robust Protocol for Distributed Counting Dynamic minimum spanning forest with subpolynomial worst-case update time

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.331437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.102699Z digest=sha256:95c1ae17c05ad98348d662986427f5b2dec866fdef23a1d0d27d9aa0bb8600f8

Observation 14c15cd3-62c3-422e-9ba1-406e4ce0219c · outbound

This paper cites Lower bounds for number-in-hand multiparty communication complexity, made easy.

A Simple and Robust Protocol for Distributed Counting Lower bounds for number-in-hand multiparty communication complexity, made easy

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.322643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.105861Z digest=sha256:7ede8d55502bde8b9854a07b4a2729422374033dac8d3027c79b692a3a3f8bab

Observation 3b1adfb8-40d7-4340-a9e8-93dc16798684 · outbound

This paper cites Relaxed models for adversarial streaming: The bounded interruptions model and the advice model.

A Simple and Robust Protocol for Distributed Counting Relaxed models for adversarial streaming: The bounded interruptions model and the advice model

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.313502Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.109142Z digest=sha256:3cb4df21404f6cc5de3f16c5c79182150db0f3d26b65dbd2437ed778169fc494

Observation 6e62cea6-440d-4e8d-b030-250271972875 · outbound

This paper cites Tight lower bounds for differentially private selection.

A Simple and Robust Protocol for Distributed Counting Tight lower bounds for differentially private selection

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.304089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.112251Z digest=sha256:0d55e6bb3f0707ee2f965a854fa7e845e3eea88e6c6cdbd9de214383cb86ce2b

Observation 76d9df72-d510-460e-b849-d3c55eb04eda · outbound

This paper cites Optimal random sampling from distributed streams revisited.

A Simple and Robust Protocol for Distributed Counting Optimal random sampling from distributed streams revisited

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.294715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.115614Z digest=sha256:553ff38102416e411c21dbb969040cd1ee23b6d050a47e7e8dd54f8d2037199e

Observation d23c6f17-a2b8-4a7c-b12b-da8ee7af322a · outbound

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

A Simple and Robust Protocol for Distributed Counting Liu, Richard Peng, and Aaron Sidford

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.284957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.119060Z digest=sha256:359e9ab8d32968f29f78c6dcdb2560ec03a2d42a54fedfd451224f53f1565707

Observation 115b9a38-d81e-432c-ad66-d9f04561bbbb · outbound

This paper cites The communication complexity of addition.

A Simple and Robust Protocol for Distributed Counting The communication complexity of addition

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.275670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.122125Z digest=sha256:6877befe29d3a6c069127d137a3e141ee96c09de54dccb3f531c437414217506

Observation 32a97be4-7100-4725-a2fb-88595c4b7045 · outbound

This paper cites Rounding dynamic matchings against an adaptive adversary.

A Simple and Robust Protocol for Distributed Counting Rounding dynamic matchings against an adaptive adversary

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.266634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.125854Z digest=sha256:e41deec785b275b910a5e90a77ab0ecf3af1edf8a98e0b617aa96244dcf992b8

Observation c30db3db-a73f-44a3-a351-a8da57874dbb · outbound

This paper cites Learning based distributed tracking.

A Simple and Robust Protocol for Distributed Counting Learning based distributed tracking

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.257606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.129004Z digest=sha256:c82511633ebdc065515b8c070ea06cf0f1bdc35ee7c4b6a34a02f73084b9df62

Observation 34076e3a-98fb-4bfa-985b-55f2b378c824 · outbound

This paper cites Fully-dynamic minimum spanning forest with improved worst-case update time.

A Simple and Robust Protocol for Distributed Counting Fully-dynamic minimum spanning forest with improved worst-case update time

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.247882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.132409Z digest=sha256:c8e3c607471e48b26f4ab045ccb5ffd6b206bdf1f45acde7b4166ef07202de8f

Observation 92c4be79-29cc-4a73-a735-c9dc311187dd · outbound

This paper cites Tight bounds for distributed functional monitoring.

A Simple and Robust Protocol for Distributed Counting Tight bounds for distributed functional monitoring

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.237315Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.135336Z digest=sha256:0b0188f0cb347dd4e34528761a71cf8184bf1f0e1abf2d51fd5603799921e751

Observation 8d265da2-5f4f-483a-84ad-c11feb158077 · outbound

This paper cites When Distributed Computation is Communication Expensive.

A Simple and Robust Protocol for Distributed Counting When Distributed Computation is Communication Expensive

Reference 64

Resolution
unresolved
no resolver link, observed 2026-08-15T16:31:29.138399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:31:29.138399Z digest=sha256:7a3502ef2b0cb235f74c20332a23c2f4e9ae9803ce8e0d3920eacad60233b63b

Observation 285054dd-b94c-48d6-8718-55f71e694c69 · outbound

This paper cites An optimal lower bound for distinct elements in the message passing model.

A Simple and Robust Protocol for Distributed Counting An optimal lower bound for distinct elements in the message passing model

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.227728Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.141735Z digest=sha256:4c8f5d0d1539507a2f4c388783c8592511949575cf51db40e529497238407558

Observation 4ac90e97-bfb6-4fd9-9253-5b3f8a972fb6 · outbound

This paper cites Woodruff and Samson Zhou.

A Simple and Robust Protocol for Distributed Counting Woodruff and Samson Zhou

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.218292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.144554Z digest=sha256:ffe5cf591f2d93db6766ac5ab4271d18e00b4679b625ba5908882aeaa5ae204a

Observation bc8cd868-9949-4ce6-9fa4-9c6b238f087b · outbound

This paper cites Adversarially robust distributed count tracking via partial differential privacy.

A Simple and Robust Protocol for Distributed Counting Adversarially robust distributed count tracking via partial differential privacy

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.208712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.147543Z digest=sha256:81add412b38fd807ed731ebebe63c053337bd813fd5a0740751f1cf172e1cea0

Observation 20d4b284-0758-49b2-8677-3d752c36b525 · outbound

This paper cites Optimal tracking of distributed heavy hitters and quantiles.

A Simple and Robust Protocol for Distributed Counting Optimal tracking of distributed heavy hitters and quantiles

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T16:31:29.198389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-15T16:31:29.150588Z digest=sha256:05fe8076c74329835aefc363ac66ce8c428d7db9bc4c27a8bebf2158ae1a80a8

Pith citing papers

No inbound Pith citation observations are available.