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Paper Citation Record · LEDGER

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees

As of 11 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2507.06334.

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

pith.paper-citation-record.v1
2507.06334 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:23:36.027330Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

42 of 42 outbound references displayed

  • verified exact2
  • verified fuzzy28
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3c1b7c42-74de-4f95-b8d9-7c30ba03f292 · outbound

This paper cites Parallel batch-dynamic trees via change propagation.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Parallel batch-dynamic trees via change propagation

Reference 1

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unresolved
no resolver link, observed 2026-08-06T19:23:32.249196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 99e8487b-8bd7-432b-9f8f-c8e18696698f · outbound

This paper cites Parallel batch-dynamic graph connectivity.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Parallel batch-dynamic graph connectivity

Reference 2

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unresolved
no resolver link, observed 2026-08-06T19:23:32.314468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:23:32.314468Z digest=sha256:65e55e3543f40f9eaf88971c48f3eb79d43bc49036843f863908b6017b611163

Observation d15894b3-9ef1-4f18-aecd-e3ffcb12c94a · outbound

This paper cites Deterministic and low-span work-efficient parallel batch-dynamic trees.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Deterministic and low-span work-efficient parallel batch-dynamic trees

Reference 3

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unresolved
no resolver link, observed 2026-08-06T19:23:32.371195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:23:32.371195Z digest=sha256:791b8f534ba4a7ff7cf1fb2bfee0f401d560e4002bc97812066ef914d69f2188

Observation bf42161b-f460-4c04-85db-d7ab91f79257 · outbound

This paper cites Large scale networks fingerprinting and visualization using the k-core decomposition.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Large scale networks fingerprinting and visualization using the k-core decomposition

Reference 4

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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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:32.484051Z digest=sha256:9bab07fd8704518f140e024395381411eb0bb2d410789e94155f505a48fabd16

Observation 2d62cffb-9e97-44a8-95b5-5552bc77e583 · outbound

This paper cites Dynamic representations of sparse graphs.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Dynamic representations of sparse graphs

Reference 5

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verified fuzzy
raw_fallback, observed 2026-08-06T19:23:43.170668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:32.589636Z digest=sha256:d6107acfd44a28ac0991bd074233ed3512bd933c8c85cc78cdb42f9fb46ce05c

Observation 5046b04c-4625-4e94-8fb1-41963dbd1d49 · outbound

This paper cites Core decomposition of uncertain graphs.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Core decomposition of uncertain graphs

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-06T19:23:42.908504Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 032e5e44-f1f1-44fe-849c-5b8a2f090ebd · outbound

This paper cites Space-and time-efficient algorithm for maintaining dense subgraphs on one-pass dynamic streams.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Space-and time-efficient algorithm for maintaining dense subgraphs on one-pass dynamic streams

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-06T19:23:42.696158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:32.754969Z digest=sha256:b3b0c238ca936097fb1e1e8a9b6bb4fef854629fa8fd96541d2f0b969cfa6948

Observation 0d13cb0d-73d3-4245-b9aa-5be55c59329c · outbound

This paper cites Efficient load-balancing through distributed token dropping.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Efficient load-balancing through distributed token dropping

Reference 8

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verified fuzzy
raw_fallback, observed 2026-08-06T19:23:42.438596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:32.887394Z digest=sha256:7730430da921b4f3e702cfbd34860316c4f350e525e6b59ad3f94a2dbf19442e

Observation 4c3b6a90-3c76-4713-b12b-1a96fdc58c8a · outbound

This paper cites Programming parallel algorithms.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Programming parallel algorithms

Reference 9

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no resolver link, observed 2026-08-06T19:23:33.001072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:23:33.001072Z digest=sha256:ab528669ddd7912e06dfb77f7371f8342e00ad0a1c76f15e9dc8d011b58059e2

Observation e836a893-acc8-4fd7-ae40-907897978790 · outbound

This paper cites The parallel evaluation of general arithmetic expressions.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees The parallel evaluation of general arithmetic expressions

Reference 10

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unresolved
no resolver link, observed 2026-08-06T19:23:33.059212Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:23:33.059212Z digest=sha256:bd322093e0c5c2019259c5e4dbe83d9ad91c8f749bb9c1a12d9f4a0c886e9812

Observation 5540824a-4fa9-49e7-981e-c6ebdf71d013 · outbound

This paper cites Adaptive out-orientations with applications.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Adaptive out-orientations with applications

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T19:23:42.209658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation cae7b823-293d-45fa-a4f7-411a59f23af2 · outbound

This paper cites Relevance of temporal cores for epidemic spread in temporal networks.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Relevance of temporal cores for epidemic spread in temporal networks

Reference 12

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verified fuzzy
raw_fallback, observed 2026-08-06T19:23:41.931519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:33.188530Z digest=sha256:b8672fbf27fb607f63d9f9d7730b121afd05f7e1d26811caca30bdf479c41e87

Observation 7c0d8529-857c-403b-8f6f-cdf0b8dbc667 · outbound

This paper cites Improved dynamic colouring of sparse graphs.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Improved dynamic colouring of sparse graphs

Reference 13

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verified fuzzy
raw_fallback, observed 2026-08-06T19:23:41.677190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:33.258634Z digest=sha256:ac12eea17cfee92c1dcf5abcf1cd4d6fbb8eb88551d6d57e04cbfeddc786f599

Observation d368813b-e3e0-40da-82f7-c40485e3afbd · outbound

This paper cites Deterministic coin tossing and accelerating cascades: micro and macro techniques for designing parallel algorithms.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Deterministic coin tossing and accelerating cascades: micro and macro techniques for designing parallel algorithms

Reference 14

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verified fuzzy
raw_fallback, observed 2026-08-06T19:23:41.424945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:33.386615Z digest=sha256:1a7266290e271a47eecd7a22fe364f6757c1d0f6e649e076e6a09b63a6c00ebe

Observation 3e33b51d-f00a-448b-b4a4-8d2f2912daa0 · outbound

This paper cites Finding the best k in core decomposition: A time and space optimal solution.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Finding the best k in core decomposition: A time and space optimal solution

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-06T19:23:41.203270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:33.526059Z digest=sha256:56367995a330670a68e1bdeaaa6fea02aac475e03e73a8febd06d62a53acfed0

Observation 38ac823a-fff9-4c6b-a551-fb5f60dbe11a · outbound

This paper cites Julienne: A framework for parallel graph algorithms using work-efficient bucketing.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Julienne: A framework for parallel graph algorithms using work-efficient bucketing

Reference 16

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verified fuzzy
raw_fallback, observed 2026-08-06T19:23:40.938329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:33.608311Z digest=sha256:3fb36aec2b34c21e8c0bfcf024f68693b14dc06387e5de3fbd2915541e6fea38

Observation 50050149-29d1-4416-b2fe-497b62923022 · outbound

This paper cites Theoretically efficient parallel graph algorithms can be fast and scalable.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Theoretically efficient parallel graph algorithms can be fast and scalable

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:23:40.662882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:33.734401Z digest=sha256:f71185d36713aa3a1794103e9443543326f19c48176aeffd9556732a320ec548

Observation 53dd59c1-47f6-4f4e-adfb-0f8602585658 · outbound

This paper cites Parallel batch-dynamic k-clique counting.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Parallel batch-dynamic k-clique counting

Reference 18

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unresolved
no resolver link, observed 2026-08-06T19:23:33.838679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:23:33.838679Z digest=sha256:e5e7d881f3e33657e695d63c74e520e19e7d7cd19f6024c62696874a83128e1d

Observation e13a267c-65f7-44ed-810c-ed59c6a33b5c · outbound

This paper cites Parallel and streaming algorithms for k-core decomposition.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Parallel and streaming algorithms for k-core decomposition

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:23:40.447907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:33.946103Z digest=sha256:79b9f06c12f4a9c6884ab17d72c7500b097f02ed83ab60833c3d5520a9f5b7a6

Observation 9580ae9b-fde8-4eb5-9765-33cc2d112022 · outbound

This paper cites Efficient computation of probabilistic core decomposition at web-scale.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Efficient computation of probabilistic core decomposition at web-scale

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T19:23:40.223271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:34.012953Z digest=sha256:ca1e0447dd8f91a7fcf7d7c8b0726090783e603ebc2eeec7debc01b20887e82f

Observation 8b3c2f0d-82d4-480c-b185-12411ed53c9d · outbound

This paper cites Nearly work-efficient parallel dfs in undirected graphs.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Nearly work-efficient parallel dfs in undirected graphs

Reference 21

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unresolved
no resolver link, observed 2026-08-06T19:23:34.119237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:23:34.119237Z digest=sha256:a22c4e84b91d056edb65a30bfee37e87c2b1677d8cea7b94df971c070c8a14ae

Observation cf8ae8b2-1439-4872-8e31-9e9ac737d47d · outbound

This paper cites Improved parallel algorithms for density-based network clustering.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Improved parallel algorithms for density-based network clustering

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-06T19:23:39.907136Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:34.210250Z digest=sha256:e0731674fecbe843e3dd1fc8d9c9bd9864bcca0a4787c99ba78b2a1105519eda

Observation 532aa894-889e-4eaa-b76e-3b53a502a25c · outbound

This paper cites Towards a theory of nearly constant time parallel algorithms.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Towards a theory of nearly constant time parallel algorithms

Reference 23

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no resolver link, observed 2026-08-06T19:23:34.308595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:23:34.308595Z digest=sha256:ba06bb712f892ad946fa4060929aa0936b3c1ddc05d97975ea895f8965cfb924

Observation a69d86ea-5204-4d27-841c-40bbcc9766f1 · outbound

This paper cites Parallel dynamic maximal matching.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Parallel dynamic maximal matching

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T19:23:34.399266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:23:34.399266Z digest=sha256:108165b19027a19f661ff9b7f54059ef1a088df2c686b9d7fad9fb77f7de77c4

Observation 51e0c308-f012-4a54-816c-6075fd6e49d6 · outbound

This paper cites Explicit and Implicit Dynamic Coloring of Graphs with Bounded Arboricity.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Explicit and Implicit Dynamic Coloring of Graphs with Bounded Arboricity

Reference 25

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:23:36.540971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:34.476170Z digest=sha256:2e9ee945decde7d4f400d1c1c7f4b20b9e2d426bcbe2171cf0799d69dcb83be0

Observation 2b84a18e-ab84-4623-a874-1eb826a6ea92 · outbound

This paper cites Parallel Small Vertex Connectivity in Near-Linear Work and Polylogarithmic Depth.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Parallel Small Vertex Connectivity in Near-Linear Work and Polylogarithmic Depth

Reference 26

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:23:36.294522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:34.572628Z digest=sha256:673ce7ad4aca2238d101a985c94b8ff3b04eef7b5c2b58efc8e3b231a5289175

Observation ab07ff74-afc6-4a9b-8b8d-767a51d41b33 · outbound

This paper cites K-core decomposition of large networks on a single pc.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees K-core decomposition of large networks on a single pc

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:23:39.618976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:34.649199Z digest=sha256:1d247a8ba84ddba97c4747dad3a0d481c4fa2e9b35266f73e439a436f02da2c8

Observation 9ada176d-8731-48ce-8036-cd22bbde8671 · outbound

This paper cites Identification of influential spreaders in complex networks.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Identification of influential spreaders in complex networks

Reference 28

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verified fuzzy
raw_fallback, observed 2026-08-06T19:23:39.385030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:34.724404Z digest=sha256:547e2f26b82cdca9801c693fa69a63c46e280b714a6383a54516b04a0c9e2dfe

Observation 1316179c-7267-4364-9407-6c1c178bf0b8 · outbound

This paper cites Orienting fully dynamic graphs with worst-case time bounds.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Orienting fully dynamic graphs with worst-case time bounds

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:23:39.149600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:34.805677Z digest=sha256:bf8267e45dbba32ad0350a974481cb3671825cc0432dd54bdc465a112dafc883

Observation b787c13d-b7d9-4891-b6e8-d5ba58126f04 · outbound

This paper cites Parallel k-core decomposition on multicore platforms.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Parallel k-core decomposition on multicore platforms

Reference 30

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verified fuzzy
raw_fallback, observed 2026-08-06T19:23:38.887795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:34.870811Z digest=sha256:bf6cf57d46e7f1ce2d469ef099b1f89448126e3d1a893b36c3d2cadc59df7cac

Observation 4cafecb9-4ccd-4eeb-8d53-7acce9f1a0da · outbound

This paper cites Locality in distributed graph algorithms.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Locality in distributed graph algorithms

Reference 31

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verified fuzzy
raw_fallback, observed 2026-08-06T19:23:38.657852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:34.964259Z digest=sha256:620f957d486f94b636c1afbddbe15474617a41cdff653318b9a4edcac7d836d0

Observation 439d2383-b491-424a-bb72-bdd97f22ec17 · outbound

This paper cites Parallel batch-dynamic algorithms for k-core decomposition and related graph problems.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Parallel batch-dynamic algorithms for k-core decomposition and related graph problems

Reference 32

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unresolved
no resolver link, observed 2026-08-06T19:23:35.041130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:23:35.041130Z digest=sha256:0b82a62a6380301955ac3924ae8243da5a6677c96d9794940b13603e0d9f3919

Observation c0f05cce-ccd1-4557-9da9-4f63d72b0d58 · outbound

This paper cites Liu, Jessica Shi, Shangdi Yu, Laxman Dhulipala, and Julian Shun.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Liu, Jessica Shi, Shangdi Yu, Laxman Dhulipala, and Julian Shun

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:23:38.369089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:35.145085Z digest=sha256:de8f98f93ef399db29296de29f1de5fe04144c7f71aff7b4781730a32d6a4cbc

Observation cb6e42bb-0d84-4417-9ce3-497983dfd9f5 · outbound

This paper cites Core-like groups result in invalidation of identifying super-spreader by k-shell decomposition.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Core-like groups result in invalidation of identifying super-spreader by k-shell decomposition

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:23:38.077615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:35.238425Z digest=sha256:21948e86ab0e2b3d8404ff2d3ad8a41e83a1ac0b79d4cfdbb6be9163d9587684

Observation 0362f112-ff8c-419a-9455-df91ed84badf · outbound

This paper cites Efficient progressive minimum k-core search.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Efficient progressive minimum k-core search

Reference 35

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verified fuzzy
raw_fallback, observed 2026-08-06T19:23:37.890740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:35.311868Z digest=sha256:0e0a8b64b06255d00fb7c7099c53f4d0043d6c32142267b0dae79d2c02b5bed9

Observation 2e6a7170-5b43-4abf-bb64-8265c9929b86 · outbound

This paper cites A game theoretic approach for k-core minimization.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees A game theoretic approach for k-core minimization

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:23:37.647449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:35.369325Z digest=sha256:a4aa6c7bdc780c23941cfca002ac943034c3e377e2a1d23287a06631bb8b460e

Observation 2a903763-1002-4b73-b3b2-a3abe2890b9c · outbound

This paper cites Locating influential nodes in complex networks.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Locating influential nodes in complex networks

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:23:37.445087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:35.431896Z digest=sha256:aa6fb5ee9f15a668fe542984a7d8db9220cf6ea97fb215171619b26f9468d43f

Observation 75f35053-8a69-40a4-ab73-f001ac51c70a · outbound

This paper cites Decomposition of finite graphs into forests.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Decomposition of finite graphs into forests

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:23:37.195904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:35.539710Z digest=sha256:059fa977aa3835359d40eaf090b6e6d4580b89b4e77f67dc8220b7ac8e6f07d0

Observation 5c1c13c4-0b52-4d7c-93f6-8d3b2afa070a · outbound

This paper cites Parallel algorithms for red–black trees.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Parallel algorithms for red–black trees

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T19:23:35.641928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:23:35.641928Z digest=sha256:b5233bac49655dd976011d80e61b1e134489aae14aa73160cb539269dc355f37

Observation 0906f807-183a-492b-b2d8-851e5c39adf5 · outbound

This paper cites Fully dynamic approximate k-core decomposition in hypergraphs.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Fully dynamic approximate k-core decomposition in hypergraphs

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:23:36.970449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:35.771191Z digest=sha256:48a5d610fa31f9e3c1413c2fc9f9b672a09a857a4c7159bb1342c49cac84ad83

Observation e9dffbc1-8e44-41a6-ac27-c0422a71e96d · outbound

This paper cites Near-optimal fully dynamic densest subgraph.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Near-optimal fully dynamic densest subgraph

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:23:36.776354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-06T19:23:35.900252Z digest=sha256:745f3339a5c509307ac7df02bbca82aa1adc552343ae06552bd0569788927715

Observation ec9e009f-62dc-4303-9633-31aa20c8d0f8 · outbound

This paper cites Parallel batch-dynamic minimum spanning forest and the efficiency of dynamic agglomerative graph clustering.

Parallel Batch-Dynamic Coreness Decomposition with Worst-Case Guarantees Parallel batch-dynamic minimum spanning forest and the efficiency of dynamic agglomerative graph clustering

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T19:23:36.027330Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:23:36.027330Z digest=sha256:db82dedf2b7e282618669985b827280e22e6157cae563ec4f0fd439dfe5ca4c3

Pith citing papers

No inbound Pith citation observations are available.