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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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:b67dbb763067451ec464cea5d845cf2387ad1856cc5e63fc9e0e05b3d1f5abfa

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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unresolved
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=sha256:1fdd705532e16ea5372dfa13356ad9b92befa7eabce8fb3475aa8a8f74fb8efc

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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unresolved
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:db35c43278614b4eef5697a6b106dccf6e3e17544bf165da7d3ed203186445dc

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:00.977092Z digest=sha256:9b3af9d10e7355226201b9be2a0e7ab5bebc6cd9696e000feced39f0c97a32e3

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=sha256:977c924fbe1572c494f942060c6921834d4477e2a6c90bbc99b4fd2b83561628

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=sha256:8dbd39ce2e6300ac1a91cbb360e19069f31be5ae08aa04b7d9168885e578d3cc

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=sha256:7543424f11c22c92c88263400cd5b00cb3fc3b510bb87c75a6e04db1efa57f62

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=sha256:6125a8a92146d575a00bd44f6408209432a5936a5e6be6a22df79a67420aa3f3

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=sha256:09966f10499346e455b6301b95a222c33dbfebc08b56e6fdee4c81101601772f

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=sha256:259b2d8ce2940824231b9f647ec3591d86a10b86a08b950b02a968b9c2ef0d3d

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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no resolver link, observed 2026-08-02T10:21:01.012622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.012622Z digest=sha256:d7fbb87e2f7225dd5e66c22b33c46eb1fcae421fbb343e4ea6e249b61bf55485

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.015678Z digest=sha256:aa7c365f90b6334ac702162b2e1ba029708f76c1c1fec14caf5ecc14ab5a2f1a

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=sha256:8358375213a63b14ec3b73079893da53bd1fe3b1b074151e4c0b622acdffc3ea

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:a56270929cd3fac35e9654e25be121f271a286a10dcb73dd5a554e08482c49e5

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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unresolved
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:d1531154e9ca85987dcf7ab614196d0b63b89be4f169755872736562e0817b09

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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no resolver link, observed 2026-08-02T10:21:01.030074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.030074Z digest=sha256:74dc75729de2c55d65b5de80d584d610ba693d9c9efce045482cb66f68e159fe

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.032979Z digest=sha256:d69c8f1852808c1df41b1bab5a62706b2204794bb1da425cae74df3b9adeede2

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=sha256:11e364f084c1a0c707902a1dd2f6094425c10ac25ab95c84c956d7984106521c

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=sha256:38a27f5cb3b4390754c25e2ce302cdda7a1308cbf700a396ae850f4237c4eae2

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.042272Z digest=sha256:9b15edd83bf79fbb00ed7c8f8bae677a8aed57ad85b729b3527996019c5b33f3

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=sha256:1bf53b91b21a0e14064b3e3fd429fc68a26e406b4a7870a1beacbd9c9a37b5d8

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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unresolved
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:da7846000eef13c552563cdc4c1728a5267f3ed811d426ab8c0549b9e7b88ee5

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-02T10:21:01.053044Z digest=sha256:335901e49c1325c72180164718a4320f62c72003ebe95e36241ad2e94afce83f

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-02T10:21:01.056689Z digest=sha256:a5cfc4660647e0ea06627ce116b72232c527e49ec16ae9bc697cddb1bf0c7878

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=sha256:2b28d355b06be92c89aff35acac809bd3fb370dec39c34eb44e5b28dc3bc5404

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:deec1fe725037d5e0e98e70ad6f188e25fbcbb2873b5e14a7a79361b2b579350

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=sha256:1f8c523ddcfb4755aa1c73f2facc6fb169beddbbc17a94c77fbeba7715fff3c4

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=sha256:5779b21ec565e025bfbd59c61c1e56625a5df1b692484f2cf39d70c718c15857

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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unresolved
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=sha256:8d8835df95c7f96226e456343acd1f175f74c73d101b8da2233e6da0bf98fc93

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:d2f05ac9baf41daf04a3b68a3553c91641e8365dc6c4aaf527122c84e8e2b83b

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.079114Z digest=sha256:578daa558978acdad8237c2a7f44b8e4a2373eac8406cd0bcae98ab6c862f70c

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.081629Z digest=sha256:8677be742747d4d7f7c8bc54f986b23d1b19c80e790e3ffc27ec2667a7cbf048

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.084611Z digest=sha256:c4ead3263a95a043f6599181129aacb2f96dc293dfef3981f843b04c117075c4

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:b0a13b9ec483996d9101a996f6e10c936d7b6fcf30052d5faefb86f204549d54

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=sha256:13ca51d090f00468e88007855ab4132bdfee43cb0f3716724ac3bccc6fe95101

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=sha256:72be75fcb54ab82a8985f2c8fbd194fc37154afbf650f038c8f91e3dcdaf09bb

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:b97d30c98085908724075fe37b3c65e56aa362ee4c818b5a166fa7c0bed8667c

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=sha256:9c65c510e80ba6d3c417a12d5f6aa09b89ef4989763b1b1cea69add7fca154c6

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:c53ba85c82d0840f447c7774694508f358498e02a5fcedfb4cc1e741ba7ae343

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=sha256:2fe26640d75f6cd24b099d35168bb5858e0c373c04443f741d5e1c07f67661c3

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=sha256:470c02b7d3518be445d0ef63e10142cd89487c6ae186160dccffa17b383fc60a

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=sha256:66e6d1a6e4121d79092f409fabf924ba3bcece6943228d170f084bbfbd4ef74c

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:f6ecbe87476a342f706ef9615c935b09cd9557556ac70a3fe8bf9772d35daec4

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:b8efa668881d151abe419cd955fe5144bf86471c53a571918a2a800224675025

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:ab1c55bba031194657b167a261fae5aa8da5093aca3f5574e8b141f896bc9f27

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=sha256:05cd4d11832dee7c217cbd8c9003b4bf24f2f0ecddb442a7ecd40644cdfcc5ff

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=sha256:8128b2b3a2e86a4c7e68a753c70cb15ce7004c8cc2c04e3737904b97380a1873

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:e4ec90f8492892652f595282879fa53aa00cf6c7143656b8db36ab40d0e331b2

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:cc2165a3c6d011fd34218212473759d81acae8df7bf35f0ac4d89f49581188ad

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:aea85e47c67f7f199e1ce70951d1934d44cff1e5c9820075a0991c7d5df8b0b0

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=sha256:9fe21cbba260450911253565f793d179914574668933fc6e65b4c946bab14a49

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=sha256:32b1b60f509ff9c82e3711ce073431f242c95a91e8aa41c98a8a6b546aeb5dc7

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=sha256:3a82ed652cc7bb688c409c1c209a2a5a5de7bc80de574288fe7fc89eb4dc50ea

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=sha256:9fc67f9648aed90483d525ef247aab2c7d6445ae3e7051c25add4e8e4bc5fd8d

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T10:21:01.144036Z digest=sha256:fb10b84818f6c3eb26989072bfedd2bc850c9fe7a1c92e7165c3143a588b562a

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=sha256:96f23d6ffc916ca622f4917a206860afc8249a56d20b4c6597a6a9ab6b17edd6

Pith citing papers

No inbound Pith citation observations are available.