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Paper Citation Record · LEDGER

Fast and Simple Densest Subgraph with Predictions

As of 22 July 2026, this Paper Citation Record lists 44 of 44 outbound references and 0 inbound Pith citation observations for arXiv:2505.12600.

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

pith.paper-citation-record.v1
2505.12600 v3

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T15:13:55.535934Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+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

44 of 44 outbound references displayed

  • verified exact4
  • verified fuzzy40
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e7471978-537d-41a6-821f-71ba74d010b0 · outbound

This paper cites github.io/.

Fast and Simple Densest Subgraph with Predictions github.io/

Reference 1

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 17c037bd-7397-4ee2-80d9-4ba32f47d757 · outbound

This paper cites Chen, Siddharth Gollapudi, Sandeep Silwal, and Hao Wu.

Fast and Simple Densest Subgraph with Predictions Chen, Siddharth Gollapudi, Sandeep Silwal, and Hao Wu

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 14d40adc-9b9e-482d-93c5-b8ade264bc82 · outbound

This paper cites Finding large and small dense subgraphs.

Fast and Simple Densest Subgraph with Predictions Finding large and small dense subgraphs

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 2b28ae74-03bc-4b94-a1e2-f182b8a63206 · outbound

This paper cites Finding dense subgraphs with size bounds.

Fast and Simple Densest Subgraph with Predictions Finding dense subgraphs with size bounds

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 01895676-1a7c-48d9-afa4-e59a888feb27 · outbound

This paper cites Bilu- linial stability, certified algorithms and the independent set problem.

Fast and Simple Densest Subgraph with Predictions Bilu- linial stability, certified algorithms and the independent set problem

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 4246f859-4f6f-498e-a7ca-ab405356d401 · outbound

This paper cites Center-based clustering under perturbation stability.Inf.

Fast and Simple Densest Subgraph with Predictions Center-based clustering under perturbation stability.Inf

Reference 6

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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 2026-07-21T06:31:05.380196+00:00.

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Observation 02ba1c06-6656-4540-b52a-1944d89e1f36 · outbound

This paper cites Efficient primal-dual graph algo- rithms for mapreduce.

Fast and Simple Densest Subgraph with Predictions Efficient primal-dual graph algo- rithms for mapreduce

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 90128fdf-a47c-4768-9080-5a9fc2e049ca · outbound

This paper cites Densest subgraph in streaming and mapreduce.PVLDB, 5(5):454–465.

Fast and Simple Densest Subgraph with Predictions Densest subgraph in streaming and mapreduce.PVLDB, 5(5):454–465

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 6a91b26e-4499-4953-9d03-e10df51cb1bf · outbound

This paper cites Algorithms, 16(2):22:1–22:39.

Fast and Simple Densest Subgraph with Predictions Algorithms, 16(2):22:1–22:39

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation e6a61ccb-2a18-45ca-99b9-a1a6f68c5a90 · outbound

This paper cites Copycatch: Stopping group attacks by spotting lockstep behavior in social networks.

Fast and Simple Densest Subgraph with Predictions Copycatch: Stopping group attacks by spotting lockstep behavior in social networks

Reference 10

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 29bbd42a-f6a0-4a7a-954c-7640b1240e94 · outbound

This paper cites Detecting high log-densities: anO(n 1/4) approximation for densestk-subgraph.

Fast and Simple Densest Subgraph with Predictions Detecting high log-densities: anO(n 1/4) approximation for densestk-subgraph

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 97df3585-1397-4199-bfb8-7d8ca44aa84b · outbound

This paper cites Tsourakakis.

Fast and Simple Densest Subgraph with Predictions Tsourakakis

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 6ebdfd1c-3a64-45f6-8a11-18ccc65ec6fe · outbound

This paper cites Are stable instances easy?Combinatorics, Probability and Computing, 21(5):643–660.

Fast and Simple Densest Subgraph with Predictions Are stable instances easy?Combinatorics, Probability and Computing, 21(5):643–660

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 41277fe3-ed8a-4d66-b6a4-e1561d89a843 · outbound

This paper cites Fast and accurate triangle counting in graph streams using predictions.

Fast and Simple Densest Subgraph with Predictions Fast and accurate triangle counting in graph streams using predictions

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation cc9c9411-1a69-421d-b78a-4ff35a743b5b · outbound

This paper cites Tsourakakis, Di Wang, and Junxing Wang.

Fast and Simple Densest Subgraph with Predictions Tsourakakis, Di Wang, and Junxing Wang

Reference 15

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 58719ef3-a35f-431f-99b2-02c0ca84c533 · outbound

This paper cites Learning- augmented maximum independent set.

Fast and Simple Densest Subgraph with Predictions Learning- augmented maximum independent set

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 7ef5c245-cdb8-4221-b131-17f0d734352d · outbound

This paper cites Greedy approximation algorithms for finding dense components in a graph.

Fast and Simple Densest Subgraph with Predictions Greedy approximation algorithms for finding dense components in a graph

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 5983913c-7b47-4469-b7bc-91a0f3477fe6 · outbound

This paper cites an unresolved cited work.

Fast and Simple Densest Subgraph with Predictions Unresolved cited work

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation ddb78b8e-89a3-4137-853b-16597b465c1c · outbound

This paper cites Dense subgraph extraction with application to community detec- tion.IEEE Trans.

Fast and Simple Densest Subgraph with Predictions Dense subgraph extraction with application to community detec- tion.IEEE Trans

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation f9e858c4-1118-457d-b09d-2e94730d3fc4 · outbound

This paper cites Chen, Sandeep Silwal, Ali Vakilian, and Fred Zhang.

Fast and Simple Densest Subgraph with Predictions Chen, Sandeep Silwal, Ali Vakilian, and Fred Zhang

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.224531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 495f66b3-da7c-41b6-8275-542a672f22d6 · outbound

This paper cites Learning-augmented streaming algorithms for approximating MAX-CUT.

Fast and Simple Densest Subgraph with Predictions Learning-augmented streaming algorithms for approximating MAX-CUT

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 276783ed-8071-473b-8a94-18bd3a2b48c7 · outbound

This paper cites Extraction and classification of dense communities in the web.

Fast and Simple Densest Subgraph with Predictions Extraction and classification of dense communities in the web

Reference 22

Resolution
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raw_fallback, observed 2026-05-22T15:14:58.164040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 2aeb074f-4142-4d85-a81d-6d6d9cd09bc4 · outbound

This paper cites Applications of Uniform Sampling: Densest Subgraph and Beyond.

Fast and Simple Densest Subgraph with Predictions Applications of Uniform Sampling: Densest Subgraph and Beyond

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-22T15:14:57.351161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 6b27d959-0d2c-4332-9092-8e361a0cba1b · outbound

This paper cites Dijkstras algorithm with predictions to solve the single-source many-targets shortest-path problem.

Fast and Simple Densest Subgraph with Predictions Dijkstras algorithm with predictions to solve the single-source many-targets shortest-path problem

Reference 24

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arxiv_id, observed 2026-05-22T15:14:57.335838Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation a1969d44-fc02-4ef9-b0f0-0cd663eabd68 · outbound

This paper cites Naughton, Douglas Brutlag, and Serafim Batzoglou.

Fast and Simple Densest Subgraph with Predictions Naughton, Douglas Brutlag, and Serafim Batzoglou

Reference 25

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raw_fallback, observed 2026-05-22T15:14:58.121856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 1f21c0ec-f97f-475a-8b16-0b0ce88bacfb · outbound

This paper cites Gallo, M.

Fast and Simple Densest Subgraph with Predictions Gallo, M

Reference 26

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 370558ab-9a7e-44a2-a77c-64fb38e26113 · outbound

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

Fast and Simple Densest Subgraph with Predictions Improved parallel algorithms for density-based network clustering

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.210948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation b4c19630-aed7-4356-aa75-6372fbe99545 · outbound

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

Fast and Simple Densest Subgraph with Predictions Improved parallel algorithms for density-based network clustering

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.153000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation fe8ee56a-49f2-49b2-994f-fad1bf4f97fd · outbound

This paper cites Discovering large dense subgraphs in massive graphs.

Fast and Simple Densest Subgraph with Predictions Discovering large dense subgraphs in massive graphs

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.156337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation 946d9602-40c2-40d7-a313-5c78429c9ca0 · outbound

This paper cites an unresolved cited work.

Fast and Simple Densest Subgraph with Predictions Unresolved cited work

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.159585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

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Observation ffa2b84c-cbea-4dd3-a20b-2fa1a9e4b3f5 · outbound

This paper cites On finding dense subgraphs.

Fast and Simple Densest Subgraph with Predictions On finding dense subgraphs

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.175994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T15:13:55.535934Z digest=sha256:ee80ff8029d60412f878b58f3df93a98e991a62bc56a43e2a4cdbab82ec1740f

Observation b6f05c9b-cc0b-48f0-bc09-71f744effacf · outbound

This paper cites On finding dense subgraphs.

Fast and Simple Densest Subgraph with Predictions On finding dense subgraphs

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.207617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T15:13:55.535934Z digest=sha256:6e5052adec4e12a964b78c17e71f384c6c8c60c751baa508451f95f94ac88fbd

Observation 871ebe52-9a8d-4b46-8baf-8db42be31687 · outbound

This paper cites A survey on the densest subgraph problem and its variants.ACM Comput.

Fast and Simple Densest Subgraph with Predictions A survey on the densest subgraph problem and its variants.ACM Comput

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.125086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T15:13:55.535934Z digest=sha256:31fd4fee00b0a5516bdf4820e6aac697ff8ae0009eadc4d2abac952d4a3f9d31

Observation 45c7116d-2783-4fa7-a112-1eb8878ce871 · outbound

This paper cites SNAP Datasets: Stanford large network dataset collection.

Fast and Simple Densest Subgraph with Predictions SNAP Datasets: Stanford large network dataset collection

Reference 34

Resolution
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raw_fallback, observed 2026-05-22T15:14:58.128497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T15:13:55.535934Z digest=sha256:bd7eee7419067c78d7ae9373f7490887aaad0b1a71829570645f45147914233e

Observation a1f2a7dc-5fb6-4554-89cf-87b71f952614 · outbound

This paper cites Almost-polynomial ratio eth-hardness of approximating densest k- subgraph.

Fast and Simple Densest Subgraph with Predictions Almost-polynomial ratio eth-hardness of approximating densest k- subgraph

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.160887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T15:13:55.535934Z digest=sha256:3897e81963c1f4ed7285f93461a5c814862a1cfc60d26a56486f1f01f71c9bde

Observation 6d99eebd-b316-4d51-84a8-65c350a1452d · outbound

This paper cites an unresolved cited work.

Fast and Simple Densest Subgraph with Predictions Unresolved cited work

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.217757Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T15:13:55.535934Z digest=sha256:d041828b563ac56bea6198da86b13fa20992296e8d01cd2a4ffb2d789b0fe38f

Observation 8209c2fa-2457-4d20-9388-f3d8550e7d38 · outbound

This paper cites Algorithms with predictions.Commun.

Fast and Simple Densest Subgraph with Predictions Algorithms with predictions.Commun

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.146880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T15:13:55.535934Z digest=sha256:6c457cdcc27295162f59e5f5eddbd30ba31b080b0e7e09e9d2593cfa68ef0b93

Observation 9eb62beb-56d4-4f18-967e-92ed44bce259 · outbound

This paper cites Faster Global Minimum Cut with Predictions.

Fast and Simple Densest Subgraph with Predictions Faster Global Minimum Cut with Predictions

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-22T15:14:57.340651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T15:13:55.535934Z digest=sha256:3c367e60288eb83f62468263fa012617240003b309db057ce0c1b9f6b68f1f14

Observation a67c8af9-4285-4597-a6b7-c638bbda3da4 · outbound

This paper cites A network flow solution to some nonlinear 0-1 programming problems, with applications to graph theory.Networks, 12(2):141–159.

Fast and Simple Densest Subgraph with Predictions A network flow solution to some nonlinear 0-1 programming problems, with applications to graph theory.Networks, 12(2):141–159

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.214448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T15:13:55.535934Z digest=sha256:e6863ac18af325271e5320220c5d9cf83c78713a00743725eb7e89af8b0569a3

Observation 4f9da7ee-94dc-419c-bc57-4739c6e82308 · outbound

This paper cites Karate Club: An API Oriented Open- source Python Framework for Unsupervised Learning on Graphs.

Fast and Simple Densest Subgraph with Predictions Karate Club: An API Oriented Open- source Python Framework for Unsupervised Learning on Graphs

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.227941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T15:13:55.535934Z digest=sha256:b888fa9b31bd3759595a5d8b7606717f6b0efb10080241206256de123db4dcf3

Observation f4c3af32-6409-4175-80b0-5c1726b6a013 · outbound

This paper cites Dense sub- graphs with restrictions and applications to gene annotation graphs.

Fast and Simple Densest Subgraph with Predictions Dense sub- graphs with restrictions and applications to gene annotation graphs

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.146354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T15:13:55.535934Z digest=sha256:3fbf7a32ff0cee546e81009d2523dfc0728c3c619e0f143887e518073cfe462d

Observation bc580276-1b40-4f30-8a95-f0a494262ea1 · outbound

This paper cites Dense subgraphs on dynamic networks.

Fast and Simple Densest Subgraph with Predictions Dense subgraphs on dynamic networks

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.143644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T15:13:55.535934Z digest=sha256:d4bff5f04c1961ddc3a86f9538c1848393fb760cf478fc19fbbe5147b209416a

Observation 4edb2ef9-5dbd-4773-8517-d360da942445 · outbound

This paper cites Near-optimal fully dynamic densest subgraph.

Fast and Simple Densest Subgraph with Predictions Near-optimal fully dynamic densest subgraph

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.154440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T15:13:55.535934Z digest=sha256:cc35f084b8cc5aa8d650008d35c3a2f385f988700b924afae8f4abeb161c4108

Observation 4e598f2f-c3be-422b-aaa9-d29be7ac1b02 · outbound

This paper cites an unresolved cited work.

Fast and Simple Densest Subgraph with Predictions Unresolved cited work

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T15:14:58.139043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-22T15:13:55.535934Z digest=sha256:a7512d06645f1034eacdb9a45de51aae96ab9e82c0c8b2c8082d584528f111ae

Pith citing papers

No inbound Pith citation observations are available.