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Paper Citation Record · LEDGER

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting

As of 22 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2605.16793.

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

pith.paper-citation-record.v1
2605.16793 v2

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T08:01:29.544609Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

51 of 51 outbound references displayed

  • verified exact0
  • verified fuzzy49
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 827237e0-5c8f-4f31-8f8e-80e7daa36a5e · outbound

This paper cites International conference on learning representations , year=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting International conference on learning representations , year=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.150545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:e54c802aa1c11b9aa6ec2f12d142cac30cbc928fdecf0e60e120391386d280dc

Observation a65d9079-e5b8-4747-afd6-bd4bd983061f · outbound

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

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting IEEE Transactions on Knowledge and Data Engineering , year=

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.179221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:3d00045f672884a11da2cbc359ca8e8a2815e2b727ddd6b53f6f15eb53d004e0

Observation 9cf75383-5947-4050-ba23-9f637c50cec9 · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting The Thirteenth International Conference on Learning Representations , year=

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.158965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:24a5da4ec95dba58e37be39d470125aadf9d089fe189cd8d4fdea274b4948c02

Observation 0fc381be-cdef-4baf-8ed6-cee0eef26b37 · outbound

This paper cites Proceedings of the 30th ACM international conference on information & knowledge management , pages=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Proceedings of the 30th ACM international conference on information & knowledge management , pages=

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.173884Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:afe41596bf1ff80412176aa427c5bcf195c3f332b5cfd713b3dace6e9c7d0a2a

Observation 25e3f17a-cf26-4aa4-b466-8f3e107dbd6e · outbound

This paper cites 2016 , publisher=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting 2016 , publisher=

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.195276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:5c037fb0d987c1da14ea27f783df408b9d29b35ede10bcaea541bc585767a803

Observation 617c9a4a-f5c2-4c54-bebe-ff164947409d · outbound

This paper cites Journal of econometrics , volume=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Journal of econometrics , volume=

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.191831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:0472db3d7782820930176b2d55b03f8d40bf7dabcee7a18e96bb4793d6ef4df8

Observation f361f5be-aabd-423a-867a-60e541dbdc81 · outbound

This paper cites Proceedings of the national academy of sciences , volume=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Proceedings of the national academy of sciences , volume=

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.193702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:4d69e9cf48451085d0f2e4cbb7b0a694f030cb54b6fe0497e829d834d7e32f9b

Observation 4ebf9e69-3ffa-4156-b866-2c2144d60ba4 · outbound

This paper cites Proceedings of the Royal Society of London.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Proceedings of the Royal Society of London

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.200507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:2043fa616f44a859e89c8c63c335939452f416d681825dc15c0ba682e297b696

Observation 04b7c87c-2c0d-41a3-8f0e-09f76399a865 · outbound

This paper cites Oran , title =.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Oran , title =

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.190113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:d1d6cf78b49f4ddfc765e0e80b832c13784ba921b5d28d74aaca49d144102507

Observation 8fd62b7e-e84b-4f25-9515-f3cb317315b5 · outbound

This paper cites 1938 , school=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting 1938 , school=

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.198677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:960afa62a61c5f4e726fcb7caf8b48ac3cb933ec291b507020a64f1ec8de5550

Observation 9804b5ef-9c76-4e43-a593-14a06c7dfe60 · outbound

This paper cites 1995 , publisher=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting 1995 , publisher=

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.204114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:3af4529fb44ad74f86256abb11afa5ae03d330e51eb167d41db06a7c29c98716

Observation 234e5e7e-fb1e-4645-809e-6850122a9820 · outbound

This paper cites Journal of the American statistical association , volume=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Journal of the American statistical association , volume=

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.202405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:7e55caa2bb1c9e4ccb608aaa153edca92bd7de6c72766f171882f6ed0ea95829

Observation 5789e3c9-1afb-402b-9451-ba9dcd5b38c9 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.188291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:9b5407d8f5d43bead5c32e16c93a2d5b75b92d4ff684a87ab4277980df8b4ade

Observation ff339cd8-5f8b-4ab6-988d-91d6f81078e3 · outbound

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

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Advances in Neural Information Processing Systems , volume=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.181272Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:3356d087520215029a7cfab599679ba1a36fe9d859b22399deaec0842a2a2c29

Observation 3e5074bc-79d1-4344-a793-8fc167d0db74 · outbound

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

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Advances in Neural Information Processing Systems , volume=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.175527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:b8dd61376c3a209e2370558b70bec9a0173723b98ff2d419057d8072c9f466ab

Observation 2737fd00-f662-407e-90af-efee6cbcb5e0 · outbound

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

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Advances in Neural Information Processing Systems , volume=

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.180968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:f682df7da32339cd5185120df198db936b46f90e616d85e15bf7332fb0e285ff

Observation 13da86f9-c906-4b43-8cdb-0d686cffd04f · outbound

This paper cites International conference on machine learning , pages=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting International conference on machine learning , pages=

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.170345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:aab54ad1b592ad859dd3a446fb613dd5605797947bc2d3c7b35811fdbc3ab662

Observation 6e51b4ca-c00d-4eec-b389-22d8287957bd · outbound

This paper cites The eleventh international conference on learning representations , year=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting The eleventh international conference on learning representations , year=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.136841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:ef85a2f0e319b9310ebb1145d67adac591f7e77d218625acb2e6d7e9cfe9f8fd

Observation ee45d69b-5a78-4216-98bb-e2ad830c2fcc · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.175795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:43427a8458f929c7f8753eb215f46b4379180b30b07acb8ad5ad3c4123d29fbf

Observation 0861df7a-62e7-4371-b389-da9b1bf3f033 · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting The Twelfth International Conference on Learning Representations , year=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.141156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:a385678dbe900f3912366ee83eea43e88a0fd8c5cf03550f2914ead12a9cfa30

Observation 17cd7d61-942c-448d-987d-d7afcfebe34d · outbound

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

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Advances in Neural Information Processing Systems , volume=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.145092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:357de35be39209d55624c9f5d15d6b1fea3975e58ead68a02b340b14095fe628

Observation d3d82550-c33a-47d1-bda5-946f062550c6 · outbound

This paper cites ICLR 2025: The Thirteenth International Conference on Learning Representations , year=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting ICLR 2025: The Thirteenth International Conference on Learning Representations , year=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.174077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:2a4530e7def0eca7634faa4f1505a789354cb45689909a31dae1ce8447bb8313

Observation 526a0413-0723-41e7-a3c0-e5978c14b472 · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting The Eleventh International Conference on Learning Representations , year=

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.177590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:e1f29d5e663ac956bc5bc4eb0222dfe299801e934bc6ade7916f52b8fc516d52

Observation f8816fde-54ab-469f-886d-ce078cdc58bd · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting The Twelfth International Conference on Learning Representations , year=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.136910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:75265df2accdfbf5f703cad90fe1db71d75d4b695410bfde9d86e6f306a7d3d9

Observation 0d6964d9-08bd-4a97-ab7a-3e0185781bcc · outbound

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

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Advances in Neural Information Processing Systems , volume=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.183031Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:b639f466034918525e1ab40c0f4820d2d996422c88c4d7c453cf0f0c743b2a86

Observation 322e6401-2811-4152-874a-b337e1abc26b · outbound

This paper cites 2025 , booktitle=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting 2025 , booktitle=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.170511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:9d690c6b7f9ecc3b235a2eb0578b37e56663cad01f38f307c2bc0d50bf17098c

Observation 1aeab310-3289-4a32-bc99-7a42a1c3e6ad · outbound

This paper cites The Eleventh International Conference on Learning Representations , year=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting The Eleventh International Conference on Learning Representations , year=

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.165293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:3394e15d7894fb939d2a22d01d18755f770e94d1dc34999a542e1e55df8fc35c

Observation 56f949a4-4f39-4dfe-80f2-7198bbf9ae0c · outbound

This paper cites The Twelfth International Conference on Learning Representations , year=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting The Twelfth International Conference on Learning Representations , year=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.135099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:51651587208263fb238b156261d754661e3f81206b6e36541e5e6e9ad5661e93

Observation b38507e3-2c3a-452c-b1ef-415727a3e787 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.147852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:2570879dae7984eed3023360ec457d7c67f695ce91384e98ddc2aafb6fd863c5

Observation 20c59d9e-daa9-40b9-8c52-e917c023fe64 · outbound

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

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Advances in Neural Information Processing Systems , volume=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.126839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:92c983c9a7d61e0ba36b148157ead3ff5ba032eae3348b7b492679d5d9e62768

Observation c7b1e2dc-ed3c-41c6-837b-1a65afe5ec90 · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Forty-second International Conference on Machine Learning , year=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.172328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:6add6b75728253e1f1fbd40bb7b41bc58f8df2b72c40af10c031fe6ac888b70f

Observation 19660ca7-2b31-465e-81de-b1b37bf65bdd · outbound

This paper cites Advances in neural information processing systems , volume=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Advances in neural information processing systems , volume=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.179379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:cdcda5a74b3dd831cd52755487947a3ed041f7caa04f213a4a0617c5b50c291a

Observation 52b4da61-624d-4209-adf9-f2a9fa589e59 · outbound

This paper cites The eleventh international conference on learning representations , year=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting The eleventh international conference on learning representations , year=

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.155094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:781b2a258a65d440089f243745dc9d50af97a4fba104eed4ace85ad8f3626fd5

Observation e3e30f39-86ff-4927-8365-980562bafc70 · outbound

This paper cites 2007 , publisher=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting 2007 , publisher=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.157270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:80de97051ca7d512988c36efacd7a25c5cfa5faac0fe69fc0e4f49669c393ed5

Observation 2d809986-ffb1-4c13-b19f-526abaed4e54 · outbound

This paper cites Proceedings of the AAAI conference on artificial intelligence , volume=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Proceedings of the AAAI conference on artificial intelligence , volume=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.153325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:2cde6cc7140fd07712944778e27885afa8affcd2396954b9afdae64fc806c456

Observation c773d9f0-b409-46f7-b6b6-73c5b96831fe · outbound

This paper cites Advances in neural information processing systems , volume=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Advances in neural information processing systems , volume=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.149759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:bbeab26f41e5bb7e69790c849af6f5754e86e365b65d6f4b710ade588d705754

Observation a73d598d-9f96-422c-ba8e-6751ae9cee27 · outbound

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

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Advances in Neural Information Processing Systems , volume=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.151533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:1464610e20c9ee8ace7f37a56eec557619e0b96324b44a9043cbaf05f018a874

Observation cb46a6b3-2b6f-488f-a5ab-60b9988d4669 · outbound

This paper cites Cours d'.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Cours d'

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.159169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:80b57e0f119cfeb78b029ce41e0720e19714d00c84919361e08bef409ec5ff0d

Observation 481d20e1-b9c1-4c43-973d-37ef5f9a5cd6 · outbound

This paper cites Journal of machine learning research , volume=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Journal of machine learning research , volume=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.168744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:9295eab5be27957baee6892ab55d4a6bc4955818fc66aeb1faa3df3149e4fd58

Observation 14d15107-67ed-45e3-8f18-ddded3f2599e · outbound

This paper cites The 41st international ACM SIGIR conference on research & development in information retrieval , pages=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting The 41st international ACM SIGIR conference on research & development in information retrieval , pages=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.184808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:11a08ec70af678b8005120406564a2f6a3804862c54daaace9982a99880b8a1a

Observation 4b256aba-96a6-4419-9788-f31b8ca27ba1 · outbound

This paper cites Advances in neural information processing systems , volume=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Advances in neural information processing systems , volume=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.186535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:46526b131c8e811b0cff10d5ea2a63f8c53f5fb0389d88abf07a371d474de437

Observation 85865b6f-0e77-477d-80fa-c0c7ee73324c · outbound

This paper cites CoRR , year=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting CoRR , year=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.196968Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:c46b99534db37d94e94c679cac6c703d6e2fd0a34339283c16e36532621da3ff

Observation 492ae806-4a41-4846-969d-fa2fb4e3a4ab · outbound

This paper cites Transactions on Machine Learning Research , year=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Transactions on Machine Learning Research , year=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.167039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:a8f92e782f7d5bb993270fd8aa41159b308da5cddf50ac664cc718531e3f3613

Observation 75ea53f5-ec15-4691-beee-3f7ba77c029c · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.146089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:1d7b3e63b59394fe84daabc9177ba9eae9c5aed74745d32ca3a80e7ed50d30d6

Observation 9828a387-f480-41a8-8f64-ec7ae2676295 · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Forty-second International Conference on Machine Learning , year=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.131106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:6645fdb1fc1413d9680a6ca93019b3fed30dbc58e192788f613ee8c0fabbb8ac

Observation c48a0965-9fe7-476a-ba89-52547bf8a52f · outbound

This paper cites Advances in neural information processing systems , volume=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Advances in neural information processing systems , volume=

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.143691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:fa0c05e08e7f472a307aed3be855698e8bf05edda720f1d1c7e319920a9473b3

Observation 42b36508-7f60-4137-8c63-32983a5bbc0c · outbound

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

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting International Conference on Learning Representations , year=

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.161103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:7b5bc1dc57f5288c1e2cb6c7509f5cc893a3c8c590ea166d24e22d795f536750

Observation 2095a5cd-5ed5-4612-972e-fd2e4b0ba97e · outbound

This paper cites International conference on machine learning , pages=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting International conference on machine learning , pages=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.140440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:f0037210657050f82499e3e45edea24fba7246fb94dc8925446279c53da99560

Observation fe0a6cd6-a4c5-4d9b-9875-5e85b3eab59d · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year=.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting The Fourteenth International Conference on Learning Representations , year=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-21T08:04:03.142049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:a46f816099b0cc3f906bf23c6027dab14484c254a626d0e8eadd262c5a493623

Observation 44c839d6-9387-49bb-bd11-8383311de510 · outbound

This paper cites an unresolved cited work.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-05-21T08:04:03.138869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:e8cfe5c2bbdb778501dd1057d7321ba9335ae1b5e58ab17dcdc2769acbc1efd5

Observation be7451ed-09a8-48b1-989d-3271ca965605 · outbound

This paper cites and Sheng, Zhenli and Yang, Bin , title =.

PULSE: Generative Phase Evolution for Non-Stationary Time Series Forecasting and Sheng, Zhenli and Yang, Bin , title =

Reference 51

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T08:04:02.485038Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-21T08:01:29.544609Z digest=sha256:aecb2ef1be02414050201b485de62bd20761576f8f81ea3cd3c328881d71bc2d

Pith citing papers

No inbound Pith citation observations are available.