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Paper Citation Record · LEDGER

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends

As of 9 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2607.22641.

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

pith.paper-citation-record.v1
2607.22641 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:21:01.147043Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+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

56 of 56 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved54
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 5f10e36d-28d7-4c83-bb6c-2f808ff1c870 · outbound

This paper cites and Klein, A.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends and Klein, A

Reference 1

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no resolver link, observed 2026-08-02T10:21:00.931201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:00.931201Z digest=sha256:4ca759426dc5ee98df0f3e151dc6ad147faa1bf614766a5fae7a738716d565ca

Observation 0033a50a-7dc9-45bc-a274-e9a20b7e7f1a · outbound

This paper cites Query-Based Topic Modeling and Trend Analysis in Scientific Literature , booktitle =.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Query-Based Topic Modeling and Trend Analysis in Scientific Literature , booktitle =

Reference 2

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no resolver link, observed 2026-08-02T10:21:00.945777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:00.945777Z digest=sha256:21aa9fec3b0a721efad8eccec41a4eecf4b3235c5580c5fa493ee897d2d13b41

Observation e7f5654d-514d-4982-a759-e6938f71e47f · outbound

This paper cites and Zhao, Z.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends and Zhao, Z

Reference 3

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no resolver link, observed 2026-08-02T10:21:00.963699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:00.963699Z digest=sha256:e0ede5f6b9dd361887db347055727f709fb9b812b86b4500f8c12ee7a1e2f242

Observation 02b71fda-de47-4d48-8d60-a1b299c554dd · outbound

This paper cites and Springenberg, J.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends and Springenberg, J

Reference 4

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no resolver link, observed 2026-08-02T10:21:00.977092Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:00.977092Z digest=sha256:945418ff14714cc47d69bbed5b47f836487f3a41deb4da8e9d6170b636064356

Observation be1b947f-1dff-4ed3-845b-0550158b374d · outbound

This paper cites BERTrend: Neural Topic Modeling for Emerging Trends Detection.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends BERTrend: Neural Topic Modeling for Emerging Trends Detection

Reference 5

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no resolver link, observed 2026-08-02T10:21:00.986788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:00.986788Z digest=sha256:4238c0884f0df47255d1cf10201b4915dd29d0638a0e7178d7ef290fd02e3878

Observation 4d8f716f-b601-47ec-98ea-66629e3aa3aa · outbound

This paper cites and Wang, L.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends and Wang, L

Reference 6

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no resolver link, observed 2026-08-02T10:21:00.991910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:00.991910Z digest=sha256:4181279b9e414a345fa7987f4e43864e4bbfa8f789be5c6337b81d025b7a5476

Observation d3ed43a8-d202-4f14-971b-e27a561b8026 · outbound

This paper cites and Zhang, X.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends and Zhang, X

Reference 7

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no resolver link, observed 2026-08-02T10:21:00.996439Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:00.996439Z digest=sha256:4bd516f3237fb8e626170bd8a61389a7e6c233002f66ebc33834a11011824173

Observation da7ab06b-fc2f-4eda-a0fc-81f348e0e54a · outbound

This paper cites and Manca, G.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends and Manca, G

Reference 8

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no resolver link, observed 2026-08-02T10:21:01.000301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.000301Z digest=sha256:15cc3544b3586ba8e42a37397a7efe927e7567a8ea4cfa5d490af3dee7a21b19

Observation 636aeb3c-7339-4292-8249-625273bd8ee5 · outbound

This paper cites and Wunsch, D.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends and Wunsch, D

Reference 9

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no resolver link, observed 2026-08-02T10:21:01.004498Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.004498Z digest=sha256:cb2707ad0f03d60753c2302b69847c8c099ee3c632c884f01018a0f22ed973be

Observation 6125bfda-4b03-4b38-9749-f03807f39285 · outbound

This paper cites and Granell, C.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends and Granell, C

Reference 10

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no resolver link, observed 2026-08-02T10:21:01.009176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.009176Z digest=sha256:8ef93cbb57314bc5d6937acd39c7afd59c9db2543dfbbe379a45c4856d52f473

Observation 6bc96cb4-cfd9-4313-87d7-950fbac79221 · outbound

This paper cites and Canu, S.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends and Canu, S

Reference 11

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.012622Z digest=sha256:ff73c6519b9811b6788727b6da22d8896808a280f89cf94be86b811eae954918

Observation 7ea4c06d-f5ba-4d9e-abc1-8d5cf33b3a22 · outbound

This paper cites an unresolved cited work.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Unresolved cited work

Reference 12

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no resolver link, observed 2026-08-02T10:21:01.015678Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.015678Z digest=sha256:9461bd590ef922d6452c9907303bca2e3c4ce0732e6e79447a8e44d730959a75

Observation 5b9e933e-1b65-4010-93f5-0c7a0a49a1d6 · outbound

This paper cites and Casanova, M.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends and Casanova, M

Reference 13

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no resolver link, observed 2026-08-02T10:21:01.020398Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.020398Z digest=sha256:a0ff12f501cdc5276bb80c82b5780b7c6e47b032b0114ff5647e1df4a3063e85

Observation 4dd57caa-fd6f-41da-af62-9f37ba574133 · outbound

This paper cites and Hsieh, J.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends and Hsieh, J

Reference 14

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unresolved
no resolver link, observed 2026-08-02T10:21:01.023245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.023245Z digest=sha256:13b1a057ba8a367f8252b182ecdaf218f44b0de5e7b428677e0a64341f82312c

Observation 17114a4d-840a-4fae-9fdc-7da7c34ba095 · outbound

This paper cites and Costa, E.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends and Costa, E

Reference 15

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no resolver link, observed 2026-08-02T10:21:01.026792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.026792Z digest=sha256:bc2592551aa5bb28c3c42d91e5c99ac8bac3a77a00fa9d1a7c7f4135bb708eb3

Observation 6c0187dd-a8ac-4de3-bedf-7929233d89a3 · outbound

This paper cites an unresolved cited work.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Unresolved cited work

Reference 16

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.030074Z digest=sha256:ef1795d9c74fbc604e9ef69dfe70f16decf3cd6f0d45cee14bc9d6b78119b8c8

Observation 82b1cedd-5a60-4220-8fd0-cd4602028e58 · outbound

This paper cites and Schmidhuber, J.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends and Schmidhuber, J

Reference 17

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no resolver link, observed 2026-08-02T10:21:01.032979Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.032979Z digest=sha256:5b98ee6b1734d7c07acef32a6c1446564bbbcc4dc9c5a6517361199c8fc14f21

Observation 5aa9f583-3ba0-4e1f-9bb5-a847dc20fef3 · outbound

This paper cites an unresolved cited work.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Unresolved cited work

Reference 18

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no resolver link, observed 2026-08-02T10:21:01.036480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.036480Z digest=sha256:4ec517599712540d64dd5d04002e4b642f91ffd650b81201502373bb96e16f79

Observation 460cb1eb-1c1e-406c-9125-46601406b714 · outbound

This paper cites an unresolved cited work.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Unresolved cited work

Reference 19

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no resolver link, observed 2026-08-02T10:21:01.039867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.039867Z digest=sha256:c7590e87554a383a7bf3b03ca89e597e0af6a221e628c68cb08e2286e3b80a28

Observation e6c0739b-4a10-445f-a417-a9859d87f496 · outbound

This paper cites Proceedings of the 23rd European Conference on Artificial Intelligence,.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Proceedings of the 23rd European Conference on Artificial Intelligence,

Reference 20

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no resolver link, observed 2026-08-02T10:21:01.042272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.042272Z digest=sha256:98051518e7ee6b94bda101932d7ebdda2d1495f89027dfda779fdd670373b11f

Observation 6d6fe35e-dcc2-42da-9c83-02b73d24e27d · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , year =.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends IEEE Transactions on Knowledge and Data Engineering , year =

Reference 21

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no resolver link, observed 2026-08-02T10:21:01.045990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.045990Z digest=sha256:21da91e66acfb79e8d8a5182a4a55bf956e1820f5a982bcbde555e59835a1fc3

Observation c648049e-8e72-4490-8ca5-44aaf35d46dc · outbound

This paper cites Sirajus Salekin and Akter, Nasrin , title =.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Sirajus Salekin and Akter, Nasrin , title =

Reference 22

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no resolver link, observed 2026-08-02T10:21:01.049747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.049747Z digest=sha256:b07c6b88156f1d719d3509580573b2d7f86e21856de7c3cf7850c3c4db60a41c

Observation 703ebbcf-291a-4bea-8680-b30fdf8d3c31 · outbound

This paper cites International Conference on Artificial Intelligence and Soft Computing , pages =.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends International Conference on Artificial Intelligence and Soft Computing , pages =

Reference 23

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verified exact
doi, observed 2026-08-02T10:23:27.856957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-02T10:21:01.053044Z digest=sha256:e2e824e0a80af47d9b94000815d5ba8ea0f0b1577e2260371a22ec2d3745d3c0

Observation aa36d032-bdc9-4378-baea-4d82229fac80 · outbound

This paper cites an unresolved cited work.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Unresolved cited work

Reference 24

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verified exact
doi, observed 2026-08-02T10:23:27.694865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-02T10:21:01.056689Z digest=sha256:b04a6191e8331bfea0f5dc00c9ac59cb313a5068ee609b9ae02f38d79c75a7a8

Observation de80d5cd-4917-4b67-ae70-7fe4aad741d1 · outbound

This paper cites Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages =.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages =

Reference 25

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no resolver link, observed 2026-08-02T10:21:01.060915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.060915Z digest=sha256:ba99e92bb4eec45d30f78f3e06ff03619bb169fc88d51ed61e78264fcbbebd5a

Observation 525a02c0-6f77-4837-bd05-7367ee3004b6 · outbound

This paper cites Proceedings of the 2022 International Conference on Management of Data , pages =.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Proceedings of the 2022 International Conference on Management of Data , pages =

Reference 26

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no resolver link, observed 2026-08-02T10:21:01.064083Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.064083Z digest=sha256:e24167c1981d172c55ec1c3ddcf0aacbf92b13f4bc269e65cb4b9fa8c9139159

Observation 737a35a5-cdd4-4909-a09a-6f2c6030b3eb · outbound

This paper cites Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining , pages =.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining , pages =

Reference 27

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no resolver link, observed 2026-08-02T10:21:01.066855Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.066855Z digest=sha256:48bff50fdbc8f2fc9a5344b529eff2bb654b798e4789292e538d992c35577953

Observation 62ca2dfa-145c-42bb-a560-c9c422448a92 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , year =.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends IEEE Transactions on Knowledge and Data Engineering , year =

Reference 28

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no resolver link, observed 2026-08-02T10:21:01.070132Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.070132Z digest=sha256:24ec2484adb6c88e821bf4052ef7de905c7af72b5124bd8a1767403664f63ac5

Observation 757ec2b8-1b2a-4461-8cee-87ca7d7f6b33 · outbound

This paper cites Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages =.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining , pages =

Reference 29

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no resolver link, observed 2026-08-02T10:21:01.072742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.072742Z digest=sha256:475644d7b377ea42504cb3cfcf500d7f0e907d2a63031d4edd238ade1542ce3d

Observation 7f710bb9-5971-4ec9-b1ab-cc23f0e5f5d6 · outbound

This paper cites Thirty-sixth Conference on Neural Information Processing Systems , year =.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Thirty-sixth Conference on Neural Information Processing Systems , year =

Reference 30

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no resolver link, observed 2026-08-02T10:21:01.075568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.075568Z digest=sha256:5811f91977f6250e2745956fc8bb195eaf94d74a28b0a3fb5af957cb30b2b282

Observation 83cea79c-7418-4816-9ddd-e98d594e50c3 · outbound

This paper cites , title =.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends , title =

Reference 31

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no resolver link, observed 2026-08-02T10:21:01.079114Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.079114Z digest=sha256:cf5f661e6d106365973a7e77113d32f55769ec3debe3274fb33c7685c67d3298

Observation 36b3a542-6fec-44b2-a827-1326e3bb1ef5 · outbound

This paper cites Journal of Machine Learning Research , volume=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Journal of Machine Learning Research , volume=

Reference 32

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no resolver link, observed 2026-08-02T10:21:01.081629Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.081629Z digest=sha256:b5761fbb57202fafd04f69d5f73feb42da1330d4c7e4d32876e35d4321e5d71d

Observation df4d663a-5dfb-4e47-9c04-4f40c0df0726 · outbound

This paper cites IEEE Transactions on Artificial Intelligence , volume=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends IEEE Transactions on Artificial Intelligence , volume=

Reference 33

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no resolver link, observed 2026-08-02T10:21:01.084611Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.084611Z digest=sha256:cacc2b509f9b985d100f00759baeab8c158e1171767e2be2808254aadd90c6c3

Observation 609c2989-31af-4597-87b9-0e9b33bece1d · outbound

This paper cites Journal of Computational Science , volume=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Journal of Computational Science , volume=

Reference 34

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.087575Z digest=sha256:388e40c0e2f1a097c280051c46ebc757cdc581016f852c24bc165b3700053443

Observation 2755f1f5-db6d-4ecd-aab3-818215327dca · outbound

This paper cites Pattern Recognition Letters , volume=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Pattern Recognition Letters , volume=

Reference 35

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no resolver link, observed 2026-08-02T10:21:01.090139Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.090139Z digest=sha256:302f99bbdc431136ffd4c8b1212c2aeef28868c0c65e6a9d93fff481f0f0e3ee

Observation 4eadc98d-37b6-45d3-bcad-be8fb00008c0 · outbound

This paper cites IEEE Access , volume=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends IEEE Access , volume=

Reference 36

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no resolver link, observed 2026-08-02T10:21:01.092993Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.092993Z digest=sha256:ae155980686691ce3d4fe64b8ee217a376ea4a63a42e4050df5d113ea6762b39

Observation a49351fe-0ba6-42d3-8e16-448f3de5935d · outbound

This paper cites Journal of the American Society for Information Science , volume=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Journal of the American Society for Information Science , volume=

Reference 37

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no resolver link, observed 2026-08-02T10:21:01.096401Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.096401Z digest=sha256:efa593fc191fd954f06e1835048fd66314ee3704c19dbd514f0479f6aa94d144

Observation bba40eee-98c2-4f86-a5c1-e5f1c70b2700 · outbound

This paper cites Nature , volume=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Nature , volume=

Reference 38

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no resolver link, observed 2026-08-02T10:21:01.099602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.099602Z digest=sha256:a11c127c5e68e783340ab24af56b820a11c8db33237ec86d3917e7c9e6f8753b

Observation e014bbd0-639e-43b0-bf4d-96586fe72407 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 39

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no resolver link, observed 2026-08-02T10:21:01.101947Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.101947Z digest=sha256:ab19091ec28ccb06ef417897e1ee75e0934f8cf5fc1de1fa272f744a026e2068

Observation f97618ce-de10-4053-9490-cb1c41502db1 · outbound

This paper cites an unresolved cited work.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Unresolved cited work

Reference 40

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no resolver link, observed 2026-08-02T10:21:01.105291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.105291Z digest=sha256:8853ab72900f5d89fbf8284f8bc14cf8910d1697df0308164d1f68207da15cad

Observation 41278bbc-d6cc-4f01-8330-06b96d1bbb2a · outbound

This paper cites International Symposium on Intelligent Systems Technologies and Applications , pages=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends International Symposium on Intelligent Systems Technologies and Applications , pages=

Reference 41

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no resolver link, observed 2026-08-02T10:21:01.107943Z

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source=arxiv_source observed=2026-08-02T10:21:01.107943Z digest=sha256:8a150540c9477864424859bd8f238639cfeac33c4ffd5c28876e2196243ffa87

Observation 6bc08ea3-46bf-4d73-a2f5-cf1fa201101e · outbound

This paper cites Communication Methods and Measures , volume=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Communication Methods and Measures , volume=

Reference 42

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no resolver link, observed 2026-08-02T10:21:01.111104Z

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source=arxiv_source observed=2026-08-02T10:21:01.111104Z digest=sha256:e831f9c96339b0132da6d812c9d9830c5a6fbfdd9c443cc1d54ce2dbf129aba4

Observation 748a97e2-2ac2-453e-b9a0-bcd59d76b5c4 · outbound

This paper cites Journal of Official Statistics , volume=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Journal of Official Statistics , volume=

Reference 43

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no resolver link, observed 2026-08-02T10:21:01.113830Z

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source=arxiv_source observed=2026-08-02T10:21:01.113830Z digest=sha256:678561b83e96aca8caacd3c26a2bb53b5c2004ff202fd20d9514caa34fe05776

Observation 062b0e06-2295-439b-a87b-4a34fceb66c0 · outbound

This paper cites 2018 , note=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends 2018 , note=

Reference 44

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no resolver link, observed 2026-08-02T10:21:01.116481Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T10:21:01.116481Z digest=sha256:666388dbbff38bbdd928c31485d96b64cc5fd0dcc50f8704e3e978dd214df181

Observation 9c13ba4c-d640-45d2-8d6f-62591c8f14b3 · outbound

This paper cites Philosophical Transactions of the Royal Society A , volume=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Philosophical Transactions of the Royal Society A , volume=

Reference 45

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no resolver link, observed 2026-08-02T10:21:01.118942Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T10:21:01.118942Z digest=sha256:4ae55460d1ade7de5b526784cb312b307ba16c766438b873db7017c40258163e

Observation 213718d1-13b5-465b-873b-1c9798d78fe5 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Advances in Neural Information Processing Systems , volume=

Reference 46

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no resolver link, observed 2026-08-02T10:21:01.121642Z

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source=arxiv_source observed=2026-08-02T10:21:01.121642Z digest=sha256:166b1a8b3d7dc6e8bbc4b8df3ae77f3b3e5ed4256c3d0c9635867cc8f15b57ed

Observation f5e779eb-8588-4f8c-983b-949b45ec9d46 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Advances in Neural Information Processing Systems , volume=

Reference 47

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no resolver link, observed 2026-08-02T10:21:01.123975Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T10:21:01.123975Z digest=sha256:a48ac4789ecccae401bcedd2caec0c86de403d2020ab9de8e7a0ce2c4d249ac8

Observation e28eb658-cb17-445e-adbd-12d2b317dd99 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Advances in Neural Information Processing Systems , volume=

Reference 48

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no resolver link, observed 2026-08-02T10:21:01.126765Z

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source=arxiv_source observed=2026-08-02T10:21:01.126765Z digest=sha256:412076351efe193cd253bf5ccda44dacd77669904ffe774e403c8094cdf23afd

Observation afc06775-b095-484e-954d-717f1898834e · outbound

This paper cites Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages=

Reference 49

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no resolver link, observed 2026-08-02T10:21:01.129522Z

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source=arxiv_source observed=2026-08-02T10:21:01.129522Z digest=sha256:24fb34f9a83648f655e2b6d9ca0be6258ad96745edfd7265de82da7665079c75

Observation 65975ddc-effd-493b-bc9d-9f6960bc24cc · outbound

This paper cites International Conference on Learning Representations (ICLR) , year=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends International Conference on Learning Representations (ICLR) , year=

Reference 50

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no resolver link, observed 2026-08-02T10:21:01.131675Z

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source=arxiv_source observed=2026-08-02T10:21:01.131675Z digest=sha256:c6509f849f398438d5663e9994c42648d272a73a3c03dcef3630c76de62765fb

Observation b400cb2f-6faa-4359-bd6d-164ab39ece29 · outbound

This paper cites Proceedings of the Tenth International Workshop on Multimedia Data Mining , pages=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Proceedings of the Tenth International Workshop on Multimedia Data Mining , pages=

Reference 51

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no resolver link, observed 2026-08-02T10:21:01.134658Z

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source=arxiv_source observed=2026-08-02T10:21:01.134658Z digest=sha256:4d069aeb9278987c138388b7d756cc09b7b3faa041d9eee492ad3c54b0b1f704

Observation 369abe20-33b9-49b4-b376-86a3a2bf3203 · outbound

This paper cites Nature Human Behaviour , volume=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Nature Human Behaviour , volume=

Reference 52

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no resolver link, observed 2026-08-02T10:21:01.137251Z

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source=arxiv_source observed=2026-08-02T10:21:01.137251Z digest=sha256:62c09cd2a039a37b28f4ee09199aea5225eabc03e14612745643bdde40fd3af9

Observation 3a1c275a-ebdb-4e17-a06f-1e2f86cb2e4a · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , year=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends IEEE Transactions on Knowledge and Data Engineering , year=

Reference 53

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no resolver link, observed 2026-08-02T10:21:01.139490Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-02T10:21:01.139490Z digest=sha256:e39a39fc1f71a3c8d26f01b557899895ce2c7c0c4a668ea8f8575691c55c6049

Observation 9bf43d83-b4ee-4beb-aef6-b9f1156127a1 · outbound

This paper cites Proceedings of the International Conference on Weblogs and Social Media (ICWSM) , year=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Proceedings of the International Conference on Weblogs and Social Media (ICWSM) , year=

Reference 54

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unresolved
no resolver link, observed 2026-08-02T10:21:01.141759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.141759Z digest=sha256:c25f7f53877f9822b47b4ab6dbb669f7135a5e5e55bcb8016d757cacbddd9c13

Observation 5ef8b695-384a-40c3-8125-85803d6285c0 · outbound

This paper cites Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) , pages=

Reference 55

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no resolver link, observed 2026-08-02T10:21:01.144036Z

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source=arxiv_source observed=2026-08-02T10:21:01.144036Z digest=sha256:7c2a219ab38101ec61e892a617dac3fb80dc96b7d08aba4826e95ed31baf9c36

Observation 24cc2d8b-954a-417c-bad8-3850c559af8c · outbound

This paper cites ACM SIGKDD Explorations Newsletter , volume=.

AutoCluster, AutoTopicModeling, AutoTrendAnalysis: A Complete AutoML Pipeline for Predicting Emerging Trends ACM SIGKDD Explorations Newsletter , volume=

Reference 56

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no resolver link, observed 2026-08-02T10:21:01.147043Z

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source=arxiv_source observed=2026-08-02T10:21:01.147043Z digest=sha256:ac472c7f22428fad97d93fffe73cca062a721137c24913a43f7ce25fb0a4479c

Pith citing papers

No inbound Pith citation observations are available.