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Paper Citation Record · LEDGER

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds

As of 8 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2608.02176.

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

pith.paper-citation-record.v1
2608.02176 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:24:28.011344Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

27 of 27 outbound references displayed

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External citation measurements

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Outbound references

Observation 9a73877b-eea5-4443-b0cd-451a41468593 · outbound

This paper cites an unresolved cited work.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Unresolved cited work

Reference 1

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source=pdf_text observed=2026-08-04T13:24:24.445148Z digest=sha256:3ac345ffe134763210f6bc1645c4e05b94a7704bbb7d5b298d28f48593009e39

Observation 9dcfee6e-812e-464a-8037-ada754bf5d7d · outbound

This paper cites Learning a hidden matching.SIAM Journal on Computing (SICOMP), 33(2):487–501, 2004.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Learning a hidden matching.SIAM Journal on Computing (SICOMP), 33(2):487–501, 2004

Reference 2

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source=pdf_text observed=2026-08-04T13:24:24.523217Z digest=sha256:825cdc45b778de3ac30cce8819d4b6c77b763f88c39ebfc6310bf16b390e3a9c

Observation 78a26e9e-c8bf-4d5c-ae80-c25c999bb29c · outbound

This paper cites Learning a hidden hypergraph.Journal of Machine Learning Research (JMLR), 7(79):2215–2236, 2006.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Learning a hidden hypergraph.Journal of Machine Learning Research (JMLR), 7(79):2215–2236, 2006

Reference 3

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source=pdf_text observed=2026-08-04T13:24:24.593213Z digest=sha256:884586fb3b1d19ef28f7fd0f27e95059d06e948ff3098abbf3e75c5c8934a7e4

Observation b300740e-03dc-4e29-b074-c0ee43f9965c · outbound

This paper cites Learning a hidden graph usingo(logn) queries per edge.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Learning a hidden graph usingo(logn) queries per edge

Reference 4

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source=pdf_text observed=2026-08-04T13:24:24.731794Z digest=sha256:e605669a051ea33ef8c75d1a56bc831e4cce9dc8c7187f8c1759c67c44b2641e

Observation 089e755c-6a61-469b-b2eb-2b4263c4a727 · outbound

This paper cites Clustering with same-cluster queries.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Clustering with same-cluster queries

Reference 5

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source=pdf_text observed=2026-08-04T13:24:24.882734Z digest=sha256:9b7265b813d819b79a36c8d689cc23753975b371258ea2cf56ccfb1a715a0e27

Observation ee24d7c9-44ea-423d-ad4b-550a7269257c · outbound

This paper cites Non-adaptive learning of random hypergraphs with queries.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Non-adaptive learning of random hypergraphs with queries

Reference 6

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source=pdf_text observed=2026-08-04T13:24:24.970450Z digest=sha256:30352f5eb27e4720797f6385435f092c84cf09144149da023619284c548182c6

Observation 86cac200-27ac-4055-ba8b-8249ffa9b891 · outbound

This paper cites Learning low degree hypergraphs.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Learning low degree hypergraphs

Reference 7

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source=pdf_text observed=2026-08-04T13:24:25.063689Z digest=sha256:1c2c329b3c9496de9bd20b8f78f2cd16517771f4c0499d49761e88a3d56e41e0

Observation da75b7f1-87eb-4c88-8f93-4101c19f51da · outbound

This paper cites Clustering with non-adaptive subset queries.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Clustering with non-adaptive subset queries

Reference 8

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source=pdf_text observed=2026-08-04T13:24:25.146742Z digest=sha256:7542db92aa29d538d4ee092ee05973335cbc075dc8a13fe3c28acb96b8462cf9

Observation 6adb119d-711b-4722-beb3-526256694c9f · outbound

This paper cites Learning partitions with optimal query and round complexities.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Learning partitions with optimal query and round complexities

Reference 9

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source=pdf_text observed=2026-08-04T13:24:25.271420Z digest=sha256:a0679a04f7a3935420c2914e16d976b0daef51547a1af9913467014f18cb07bf

Observation 9cc88703-c16e-4872-a4df-94919e60151f · outbound

This paper cites Exact recovery of mangled clusters with same-cluster queries.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Exact recovery of mangled clusters with same-cluster queries

Reference 10

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source=pdf_text observed=2026-08-04T13:24:25.447147Z digest=sha256:ce69c238c3cf06c7775f2d862d840b620a2c30f2535d2b05259655a950d8311a

Observation 73a6dc69-e46f-4f40-b5c6-30743afb5b39 · outbound

This paper cites Bshouty and Hanna Mazzawi.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Bshouty and Hanna Mazzawi

Reference 11

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source=pdf_text observed=2026-08-04T13:24:25.611558Z digest=sha256:338eebb5ab30c91bf4aaee612777349ed7b0deb90460f5cd05628858dd92cab4

Observation 23d6cbc2-c7fa-40ff-92af-d746e5b699fc · outbound

This paper cites Learning partitions using rank queries.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Learning partitions using rank queries

Reference 12

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source=pdf_text observed=2026-08-04T13:24:25.759134Z digest=sha256:627135c0a4efff82044ad4668442a3b48cf42ea172a44189b6cfe14a9d64e5b4

Observation 01a92096-9361-4a9c-b727-d1193eaa4f10 · outbound

This paper cites Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Query Complexity of Hypergraph Connectivity and Learnability using CUT Oracles

Reference 13

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source=pdf_text observed=2026-08-04T13:24:25.916838Z digest=sha256:a13df48e85f8411b6555432400e2eeeb6a78e3ca4b04b570dfb8c918b97ae54a

Observation bcee73a2-1a6b-4cdb-a9ff-6aec2446b8f7 · outbound

This paper cites Davidson, Sanjeev Khanna, Tova Milo, and Sudeepa Roy.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Davidson, Sanjeev Khanna, Tova Milo, and Sudeepa Roy

Reference 14

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source=pdf_text observed=2026-08-04T13:24:26.070038Z digest=sha256:ffea0c1262dc2c7c736b292f330b633969b7f59e7ce5702a45100d496a9b2e1d

Observation d4188a8a-485a-448d-95ff-db75048dde0d · outbound

This paper cites Clustering with queries under semi- random noise.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Clustering with queries under semi- random noise

Reference 15

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source=pdf_text observed=2026-08-04T13:24:26.202481Z digest=sha256:6a9319016abd43ca600d3dd029cda92e7709239e8f67b44de54f5a6c8285b769

Observation b92c9b88-3f2e-4a60-9805-fa6267b06c7f · outbound

This paper cites Optimal algo- rithms for learning partitions with faulty oracles.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Optimal algo- rithms for learning partitions with faulty oracles

Reference 16

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source=pdf_text observed=2026-08-04T13:24:26.333376Z digest=sha256:873599f805108be44c5b0d621a55a8bd3d047a6b8826d0476d4b09958833e29f

Observation 408a3846-dc81-4657-8c96-f9f7d47c996c · outbound

This paper cites Optimal reconstruction of graphs under the addi- tive model.Algorithmica, 28(1):104–124, 2000.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Optimal reconstruction of graphs under the addi- tive model.Algorithmica, 28(1):104–124, 2000

Reference 17

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source=pdf_text observed=2026-08-04T13:24:26.500370Z digest=sha256:fd651587143ba4ae68a587ac8c024b7f010a200b96205ac9f3e177db518e23dd

Observation 699ad8a8-b262-4f3b-b4ca-153cb87f781a · outbound

This paper cites Same-cluster query- ing for overlapping clusters.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Same-cluster query- ing for overlapping clusters

Reference 18

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source=pdf_text observed=2026-08-04T13:24:26.640538Z digest=sha256:64b9c008702f1c0f0cb6e2768ff7e597747872f3e09f68f1604b0a652b888339

Observation fc758aff-8d05-48a2-94e0-7f500de57706 · outbound

This paper cites Tight query complexity bounds for learning graph partitions.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Tight query complexity bounds for learning graph partitions

Reference 19

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source=pdf_text observed=2026-08-04T13:24:26.816988Z digest=sha256:cc54f6573b97837f3a8a90923163983d1099a195f139c574d9ac60556ff0f14d

Observation 165e34c6-070a-48b0-8342-5f794d0b255f · outbound

This paper cites Clustering with noisy queries.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Clustering with noisy queries

Reference 20

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source=pdf_text observed=2026-08-04T13:24:27.003315Z digest=sha256:ab1857dbddefe7f797ee6c1f225f0d62cc44579cc3ff1e1080bade74e579037f

Observation 391a8907-727e-46dd-89b7-4186774271c8 · outbound

This paper cites Query complexity of clustering with side information.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Query complexity of clustering with side information

Reference 21

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source=pdf_text observed=2026-08-04T13:24:27.159751Z digest=sha256:5bbc49da9160be13eb3556d25cf5f2d0237333a820a539f7985d9baf2270d91a

Observation 126fea4f-361a-4d5b-aec7-5e1162c780af · outbound

This paper cites A theoretical analysis of first heuristics of crowdsourced entity resolution.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds A theoretical analysis of first heuristics of crowdsourced entity resolution

Reference 22

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source=pdf_text observed=2026-08-04T13:24:27.283080Z digest=sha256:cdefad8deeffc9766e3894645147870291fe8e111fa8ff8f8985441a8aba5713

Observation 1d491eed-1e0f-4530-8c16-a726e474cebb · outbound

This paper cites Optimally reconstructing weighted graphs using queries.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Optimally reconstructing weighted graphs using queries

Reference 23

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source=pdf_text observed=2026-08-04T13:24:27.401539Z digest=sha256:9fa3575b607d2707fe1841c6f3475b1d5d805ff5a8c4d75b3e6732c181f873e8

Observation ee6505ab-7fcf-4cd4-b6ad-a12430861a7d · outbound

This paper cites Predicting Signed Edges with $O(n^{1+o(1)} \log{n})$ Queries.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Predicting Signed Edges with $O(n^{1+o(1)} \log{n})$ Queries

Reference 24

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source=pdf_text observed=2026-08-04T13:24:27.562527Z digest=sha256:834700a12ccf207ff76392126dbecb4e16f93805640a7043ca0665c13a000546

Observation f54cec6f-b7e9-427b-b111-4615d14efade · outbound

This paper cites Learning and verifying graphs using queries with a focus on edge counting.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Learning and verifying graphs using queries with a focus on edge counting

Reference 25

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source=pdf_text observed=2026-08-04T13:24:27.680869Z digest=sha256:37c4ad1459caa533f68f8b4cca57153e6d2e8fff71703ef0733d809a8f65a9fc

Observation 27de4a23-2251-47c6-be57-0c2a1dbc6f34 · outbound

This paper cites Franklin, and Jianhua Feng.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Franklin, and Jianhua Feng

Reference 26

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source=pdf_text observed=2026-08-04T13:24:27.864242Z digest=sha256:69ed12181dfdf4d8e78532a1cbe392a608b9fb3064153645359a4320a38a67a0

Observation 54466fa5-ecf3-412d-9028-dfbc69078c5d · outbound

This paper cites Question selection for crowd entity resolution.Proceedings, Very Large Databases (VLDB), 6(6):349–360, 2013.

Randomized Algorithms for Learning Partitions with Near Optimal Query Complexity in Constant Rounds Question selection for crowd entity resolution.Proceedings, Very Large Databases (VLDB), 6(6):349–360, 2013

Reference 27

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source=pdf_text observed=2026-08-04T13:24:28.011344Z digest=sha256:a9848eb7efd7af57978bbbe4cda0eacb042e905d344ffd3a84bb7b8a2a60a55e

Pith citing papers

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