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Paper Citation Record · LEDGER

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series

As of 18 August 2026, this Paper Citation Record lists 67 of 67 outbound references and 0 inbound Pith citation observations for arXiv:2605.05524.

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

pith.paper-citation-record.v1
2605.05524 v1

Coverage vector

measured 67 of 67 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-08T16:19:53.680007Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

67 of 67 outbound references displayed

  • verified exact7
  • verified fuzzy54
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d1d6d4d1-a697-4689-a34c-9a468ffab552 · outbound

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

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Advances in Neural Information Processing Systems , volume=

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.803457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:7e138afe7cf7efdd684f71ea57df8e0821551cda6a361210e41a458513c8fdf3

Observation 17eff428-0391-44a6-8265-7ccc18c8f0fb · outbound

This paper cites Disentanglement via mechanism sparsity regularization: A new principle for nonlinear.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Disentanglement via mechanism sparsity regularization: A new principle for nonlinear

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.854483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:5c6e404773cf45609dfccb053c3c43b9613cff6a3b31a9c51e0a6f2caf3367aa

Observation 459838fc-ff67-45bc-9c86-171f5f8c4f4f · outbound

This paper cites Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Nonparametric Partial Disentanglement via Mechanism Sparsity: Sparse Actions, Interventions and Sparse Temporal Dependencies

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-08-03T01:25:21.637949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:7d548656ca718d506f1ec2bf73e7e6f5761e88d6377c251a055dd28df310b5b1

Observation 1972f45b-ad40-4639-ae94-68758485b647 · outbound

This paper cites Generalizing nonlinear.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Generalizing nonlinear

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.919024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:d3c49f6e374e2240b15957e3288a2ef47d78e98b2c3014bcaf8b975fb8ea446f

Observation 8f557e2d-0cc2-47a9-af8a-442885bdd407 · outbound

This paper cites Unsupervised feature extraction by time-contrastive learning and nonlinear.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Unsupervised feature extraction by time-contrastive learning and nonlinear

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.944598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:5bca937bbe054c3f6120af06c7c5a29101b4440eba7a66fe66e28ca560b11d25

Observation 445ccb36-deff-4cd9-8a1d-bfccf3d6e259 · outbound

This paper cites Nonlinear.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Nonlinear

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:11.003077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:8bb52ad44df95a38c6803efbe93c393a621a2843f161cbd2632ec297b1aea986

Observation 5a4f811f-ef1c-4171-b8df-a23b94b85c70 · outbound

This paper cites Variational autoencoders and nonlinear.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Variational autoencoders and nonlinear

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.933221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:00fa44643eab8150be075a0927a30756bd9a28e04c8290c083f5efda39711d3e

Observation 9b025f59-1766-4a9a-b2ef-503efdb83f6f · outbound

This paper cites The Journal of Chemical Physics , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series The Journal of Chemical Physics , volume=

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.957654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:627f7ba34abe11a30d8e6ee86b26a1180d881e5bb1741123d1116e28218c241e

Observation 22be37aa-18c2-4a3b-b1a1-93e1205f4050 · outbound

This paper cites Science , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Science , volume=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.911702Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:e80d1e9fa0796f4bbf98e8814e031bc57c9586e1cddf33a055a7a4516f963242

Observation 0fbc0df0-8270-4eb6-8f4a-3cd89d815db5 · outbound

This paper cites Nature communications , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Nature communications , volume=

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.929987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:d600e9c7bc75ef1a02a83c2472077038b90dffd778fc046fee7ae4367ed05952

Observation 8e87c275-3a72-4853-aa1d-e1111609c33b · outbound

This paper cites Physical review letters , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Physical review letters , volume=

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.826573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:23a56638d71cde0f4d27fcf58a7c1760a51e87db983708d3f20fd243a67a478d

Observation 0a88a926-ebf1-460a-bc2f-e6b740779b26 · outbound

This paper cites The Journal of chemical physics , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series The Journal of chemical physics , volume=

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.840526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:c250f907751fc0ebc19cca40f734bcdf912c860c06338b9496469214f661f660

Observation 36395305-860b-46d3-89bc-3bd85afede9e · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.862022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:aca4741c6812b69ecaad6214b8fbe1f35c10c231cde9aa943003fa995c80d32a

Observation a5655edf-14f9-4d97-a9f0-e2f3d38b4d20 · outbound

This paper cites Auto-Encoding Variational Bayes.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Auto-Encoding Variational Bayes

Reference 14

Resolution
metadata mismatch
local_arxiv, observed 2026-05-11T18:16:11.992726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:fb5168f388018ecc542f7fd03090dd0853bab4c234ad7a6c95c1c0f6b2c4ce32

Observation 1d7d9158-5032-4f86-a2a8-3042477a7d66 · outbound

This paper cites Science , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Science , volume=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.833196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:f03de8aa278888b48092ab058a9cc67ebf9165874c25995ba7bd5784b9dd0258

Observation 56f70e86-f2b6-4e03-b0c6-7670ce98774a · outbound

This paper cites Science , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Science , volume=

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.872769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:6f089ac5d7b7fb36ea38bf036aa73087ec827186e64da0a51ac165f05572b349

Observation b70d9816-c93f-4a8d-b6f6-7469d9616883 · outbound

This paper cites 2019 , organization=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series 2019 , organization=

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.972839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:b0c26419638c7c5d9cff64e988a0ac33193160c01dce945fb15596f616b708f3

Observation 055be191-08c1-432d-a086-6a614ab45fd9 · outbound

This paper cites Probabilistic and causal inference: The works of Judea Pearl , pages=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Probabilistic and causal inference: The works of Judea Pearl , pages=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.965515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:c50b3bb52e30bd200d8ca11d9b4ee3f0b3c6b6c8855e558f833b3b102990fe18

Observation 1549ca84-f497-49ff-b66c-2e573552afbf · outbound

This paper cites IEEE transactions on pattern analysis and machine intelligence , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series IEEE transactions on pattern analysis and machine intelligence , volume=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.895714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:32c2c25e34d196a39948da9612072090f485f3ea647a2e443528ecbc0ec4d1ef

Observation 8af8aeb7-98df-4e21-a2de-c6b8b0d405b3 · outbound

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

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Advances in neural information processing systems , volume=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.948054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:bc8c5f1adaa8cf3748429321313f74b43afe015c45d72e03ccf83222e31b5372

Observation 4eb0ea32-0620-41a3-a7ca-3e8b081d15eb · outbound

This paper cites Current opinion in structural biology , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Current opinion in structural biology , volume=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.999450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:98682cf8836d65ea7833154d681368124afc5edac4c9779df308f0cdce5afef2

Observation 0b27da5c-3d1a-430b-ae4d-2a09bb79bda7 · outbound

This paper cites Journal of the American Chemical Society , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Journal of the American Chemical Society , volume=

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.988438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:299778353f54aaa6bacc8265b948ee3479995ad72d6283fb64eae64cbb6c0dfc

Observation f588ec75-7556-44bd-b67d-95400b4e3cba · outbound

This paper cites The Journal of chemical physics , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series The Journal of chemical physics , volume=

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.822787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:766044d3952efa02aeaad0a91eb1c1ae351a59f0bcdaced1a0035dc0cbb3a7f0

Observation 62672ddb-74c1-475b-b098-57f369730b3b · outbound

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

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series International Conference on Learning Representations , year=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.819219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:8b712bc127071059333b8c515487bb7d9083278f540efa54a5e3aa7770c5ecdb

Observation 28796c4a-a717-4458-9d1d-7374070c15a5 · outbound

This paper cites The Journal of chemical physics , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series The Journal of chemical physics , volume=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:11.006916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:d2a8da5582bb4970b3e163a527fd7bbf100770bb3a8af7d7e52c26dfec885f85

Observation 38ab4371-99a0-4802-b5a7-114f27a68c48 · outbound

This paper cites 2022 , organization=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series 2022 , organization=

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.811245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:63ab93176eda5ab9446f92716d5629fc2d10cc16fc0e6f17f0d1b447f6210fad

Observation 5da93dbc-9b8d-4dba-b816-ce5c3279de4e · outbound

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

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Advances in Neural Information Processing Systems , volume=

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.888388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:142e59ee9cd7603af0b6def344e6433a64449330d35790a58ec57b3ebd9d7ad6

Observation d2a4a450-3ddd-48f3-983a-9d727f1b6904 · outbound

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

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Advances in Neural Information Processing Systems , volume=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.926462Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:e35b606b1a48cdffb514de113d674eb58fd9e13a151d449617a6e0d4038d6347

Observation 7ff978cd-5fca-4697-b4f2-53843ac5b6ce · outbound

This paper cites On the identification of temporally causal representation with instantaneous dependence.arXiv preprint arXiv:2405.15325.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series On the identification of temporally causal representation with instantaneous dependence.arXiv preprint arXiv:2405.15325

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:16:12.008886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:bd947605a3d5867a48147ee580a1494b6c8c52e7cc3f44de4441b4c65ba03cc9

Observation 184be857-70ee-40ec-8c00-a410ba2d8c28 · outbound

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

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Advances in Neural Information Processing Systems , volume=

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.996171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:a42b215902fab61f52d34c7addedc8a7e0e6941f0af60aae6aa3c1972c3e5872

Observation 20d3f807-7a35-4755-a028-55eb674be527 · outbound

This paper cites Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Proceedings of the IEEE/CVF conference on computer vision and pattern recognition , pages=

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.903638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:723a74d6f9a351a116c1cb94c7d10a34038a99890df2f58608acf0d7961ff527

Observation 0ec5f2f8-b268-4be1-a7de-96d4d9009696 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Proceedings of the National Academy of Sciences , volume=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.915455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:18be70616dd9e9853600cddb7fc0a3998d510c8e281a15522879a1fda571e37a

Observation d2c1e3c8-81f5-4f2c-9d18-ba705be705b5 · outbound

This paper cites Learning Temporally Causal Latent Processes from General Temporal Data.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Learning Temporally Causal Latent Processes from General Temporal Data

Reference 33

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:16:11.976335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:35d5c19c43025e14ca5f86295ee127f7514a6dd30617f4fe0cf3f5c5da1050b7

Observation a0f92534-0ff2-413c-a371-985442a1fabf · outbound

This paper cites The Astrophysical Journal , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series The Astrophysical Journal , volume=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.858041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:5a7faa394cc5d2c8648d15ab10672de32a6c9dc1d71bb14216ef888f8b2ae370

Observation fb8abd3f-3a02-4296-afe0-af7235d069e4 · outbound

This paper cites Survey of disruption causes at.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Survey of disruption causes at

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.922447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:13c754c82c0f23cc0a491efac444d64f62a22d8084abc6c1e09c281de9e93767

Observation 050db11c-729b-4960-a979-bd09d508487d · outbound

This paper cites Clinical neurophysiology , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Clinical neurophysiology , volume=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.846698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:4f3c9f022c86a9b11494db41f7d5cee0e4ff7f62ec523c5b1a75477efa554682

Observation 00082590-0c85-4616-bee9-b2a99ffe3500 · outbound

This paper cites Bulletin of the American Meteorological Society , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Bulletin of the American Meteorological Society , volume=

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.836881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:c3f93a89e923678f0b929d13526a48412d34657d49199f86d5da4383a1d1fa5a

Observation f3a11c11-cd32-4151-b884-af4ff1a9c964 · outbound

This paper cites The New England journal of medicine , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series The New England journal of medicine , volume=

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.992420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:0116cab6a23f166b131dbaa3d567e4c369f81950b5794926a259051e9b613b5a

Observation 23f1a85b-bb47-48b7-8571-a9acb74c33e3 · outbound

This paper cites Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Journal of the Royal Statistical Society Series B: Statistical Methodology , volume=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.876918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:ae99f1f514383f1702e4aa4d013ff4d77884f33154046ad074b95f3663e5ac73

Observation 4aae287c-631f-4cd4-875d-fd69d29f4c19 · outbound

This paper cites Breakthroughs in statistics: Foundations and basic theory , pages=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Breakthroughs in statistics: Foundations and basic theory , pages=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.980587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:a6ddfc2c5308869530c7229f1b7850a8aeb251f95e1bc91656579ae52255385b

Observation 7f5fbca8-ae88-4b1a-909e-f996be3afc37 · outbound

This paper cites Science advances , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Science advances , volume=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.954288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:b82f58fb96714038f385a64f395000904f9faab18913b9bd28e0cf2581e7311a

Observation 763512df-8aff-42ec-8b69-4795c9b79237 · outbound

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

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Advances in neural information processing systems , volume=

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.937530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:b780f741c2a5b19cdcd2b32bc19a7b01d90c99d20fb62206efda8b3d174e18ee

Observation 8816641f-9701-485b-9e56-fedf3f333736 · outbound

This paper cites Proceedings of the National Academy of Sciences , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Proceedings of the National Academy of Sciences , volume=

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.951129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:df3dba1eb4ba47c1cffdd0ea92d005ecf1a6380a28f42e72e6f875536437d0f2

Observation 8f395d75-4399-4ebe-866a-5c0157fb2d06 · outbound

This paper cites an unresolved cited work.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-05-26T10:17:10.976633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:86c03b2ff815430cbf045d0a089d0d11d04eae5a646f68df2231c240952522ab

Observation 7be055d3-9e6a-43da-a081-7320057126e1 · outbound

This paper cites Proceedings of the IEEE , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Proceedings of the IEEE , volume=

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.865734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:a96016546cdcb371118ccdddb180079ea2b1b826763bd0508df2f8eb4e48f3b5

Observation bc3fe69d-c4c1-49d5-9210-24246a607472 · outbound

This paper cites Causal Representation Learning from Multiple Distributions: A General Setting.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Causal Representation Learning from Multiple Distributions: A General Setting

Reference 46

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:16:12.013848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:4255835b0c56cc803f2ffa7205f3976c07d9982e0d8d6e1455ee8737db4f1bc7

Observation 105ecb93-6b24-4586-a637-2119ff48a7f9 · outbound

This paper cites Journal of computational and graphical statistics , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Journal of computational and graphical statistics , volume=

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.884344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:12cd784ea1059f615c2969c561006311fc09c7ef8c681a2a6d474baea3e64d74

Observation 7720ae77-50b3-40e6-845b-c549b3f846f8 · outbound

This paper cites Neural networks , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Neural networks , volume=

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.796200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:e9f3393938ded460994f9251a6db35e79ee0eee9adef67533dfe99e909d7a5c6

Observation b88f3f02-fbaa-4e2e-92c9-3ae8dbea7de3 · outbound

This paper cites Discovering Latent Causal Graphs from Spatiotemporal Data.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Discovering Latent Causal Graphs from Spatiotemporal Data

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-11T18:16:11.997467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:ce58ed66547bd788d6e9e16d1c5f37ce72e3128e1acce0c1b92cf380b84fed7b

Observation 179c8bdf-d3a4-4391-b3b8-f0f0b0e7742c · outbound

This paper cites ACM Computing Surveys , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series ACM Computing Surveys , volume=

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.807643Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:ad8b18933ea52ba652e1e454a5efafe9252e13ae9f3007441705cb820b06f55b

Observation 5385e3e6-14d2-485a-a4cd-5805d01ee672 · outbound

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

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Advances in neural information processing systems , volume=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.799625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:f7bb228208e39398ca5a1c3dd0609ce67e218bed3534438d173a7952219e6007

Observation 8ca38f19-033e-4c84-96e1-ec247a35f49c · outbound

This paper cites Econometrica: journal of the Econometric Society , pages=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Econometrica: journal of the Econometric Society , pages=

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.829906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:a0665047bd1613836b642d026783753093d5cbd596b824465772fba499151066

Observation ccab42e0-e138-4be5-bcdf-76161cd75cf8 · outbound

This paper cites Physical review letters , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Physical review letters , volume=

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.984567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:c6dcb8eb40042ab268d21e3a4e7d38b6fa179266df9aa9686df0faf9ae05517e

Observation a18a2125-64e6-445e-95a4-3f350b1c3ed3 · outbound

This paper cites science , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series science , volume=

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.907489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:dc9ef0459594a787756e69fe4ea85b9632658f13d5a995de734168b3dc07d0cf

Observation d8ccb860-41eb-4c18-9406-279917e23ff6 · outbound

This paper cites 2000 , publisher =.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series 2000 , publisher =

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.869384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:06347ec76e1ad4373f37343b2396c3f1d57e05ce0457493cbdd33b1c1777bbd5

Observation d0552165-d896-48aa-af74-24ea4fe85f01 · outbound

This paper cites On the Identifiability of Nonlinear.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series On the Identifiability of Nonlinear

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.815135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:53edf13c61056be0349e77b9dbe8446292ea8bd319b98f18cf78d3efe80854d7

Observation aea83be4-5ff4-4df6-9231-35a5cefd4565 · outbound

This paper cites Nonlinear independent component analysis.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Nonlinear independent component analysis

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.899164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:3b7bd5e3981acc6c314f69fd2868568123c0c7ea53851fff3fc6e8c150eb408c

Observation 7391c905-bc63-47ec-847b-148b1e3a2a15 · outbound

This paper cites Time-series forecasting with deep learning: a survey , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Time-series forecasting with deep learning: a survey , volume=

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-08T20:24:10.268261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:2ff4bbfd5dd445495e52782eeb8102dfa0537f5fc9c1b1ef4f50783953b1cbca

Observation 8fe98f11-6304-4b57-be81-a544c7eed6c4 · outbound

This paper cites URL https: //doi.org/10.1038/s41586-023-06221-2.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series URL https: //doi.org/10.1038/s41586-023-06221-2

Reference 59

Resolution
verified exact
doi, observed 2026-05-08T20:24:10.250132Z

Source-reported events for the cited work

correction dated 2023-08-30. Source: crossref record 10.1038/s41586-023-06559-7->10.1038/s41586-023-06221-2:correction, observed 2026-07-11T03:02:24.988785+00:00. This notice travels one citation hop only.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:c70bc2dac319d4495dd26930c3198bfecfc011ec7fab17a185ebd7a036c37342

Observation 70cbbe2f-c4a0-4a68-bddf-7ebfbee570b1 · outbound

This paper cites 1988 , edition =.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series 1988 , edition =

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.892064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:56e072895503c1c8bb45e8289532cc508e06b88aa0f795cf3fa4e8232a28e64f

Observation a4b8afde-d565-4412-b409-da9e391ea6bd · outbound

This paper cites Journal of climate , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Journal of climate , volume=

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.961229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:4b772a72a87c355caa48bd5ab0d4d14db6959c844643bbbf094653a8190e508b

Observation 37bfd80f-9813-45bd-b3b7-c498665af5fd · outbound

This paper cites and Banzon, Viva F.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series and Banzon, Viva F

Reference 62

Resolution
verified exact
doi, observed 2026-05-08T20:24:10.257077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:7086fbb2367c6bacd45a68ee58c287364c74121fd87a1427599ca6a39949dc6b

Observation 3b641d3c-9e7d-4eba-9711-1d1c13adb74e · outbound

This paper cites Computers & chemical engineering , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Computers & chemical engineering , volume=

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.969246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:f4fcd8dcd5741ba090f9e647e2a3ac84d3f451cb68d595dd08d19eacbb6bf771

Observation ee12c944-3311-419b-9f52-83be5935f9f3 · outbound

This paper cites H., & Papitashvili, N.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series H., & Papitashvili, N

Reference 64

Resolution
verified exact
doi, observed 2026-05-08T20:24:10.262893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:b980c660df9d7f7fd4f4a1e37546c5b9af7736d1d6e712b6de8a11f6318907bb

Observation f04e751c-ce0e-43c6-b9f4-4cf67cc9b3e1 · outbound

This paper cites Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Towards Nonlinear Disentanglement in Natural Data with Temporal Sparse Coding

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T18:16:12.020820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:70c547f833dce2ecae969cf2c6d6aa87183755283fa21fbe92026c06c56f1335

Observation bfdce460-e454-4834-9fc1-06b28a548ee6 · outbound

This paper cites Naval research logistics quarterly , volume=.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Naval research logistics quarterly , volume=

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-26T10:17:10.880384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:712a48178c25c05dac81c8a409394cff454ca5e6b47bd56102077531d7fa67a8

Observation c6b174c3-3ffa-456b-a7bc-39fc92919255 · outbound

This paper cites an unresolved cited work.

MOSAIC: Module Discovery via Sparse Additive Identifiable Causal Learning for Scientific Time Series Unresolved cited work

Reference 67

Resolution
unresolved
raw_fallback, observed 2026-05-26T10:17:10.940775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-08T16:19:53.680007Z digest=sha256:71131835014cc19e49f3aa7300a34945b0beab780230a2520be3dfdb70641574

Pith citing papers

No inbound Pith citation observations are available.