Paper Citation Record · LEDGER

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 1 inbound Pith citation observation for arXiv:2501.05403.

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

pith.paper-citation-record.v1
2501.05403 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:20:28.124767Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:41:22.609074Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-08-16T10:41:23.947741Z

Reference resolution

28 of 28 outbound references displayed

verified exact1
verified fuzzy5
unresolved22
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 46f75ade-47d6-461e-a5f9-d1bcb1b0c342 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts , " * write output.state after.block = add.period write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:28.018048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 921494dc-9c9d-4647-b945-8d7647845ed2 · outbound

This paper cites write newline.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:28.022914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f571f41-a495-4c43-b7a5-87736684e05a · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:20:28.604912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 7e2b64f9-234c-4ff7-87e0-0ffbdbd35c1d · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:20:28.592796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 167e568b-d729-4bc0-96ce-f534dd35ab95 · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:20:28.581269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ed7e3bc6-ef7a-4604-be78-930b512ffc2a · outbound

This paper cites TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts TimeVAE: A Variational Auto-Encoder for Multivariate Time Series Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:28.038813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa93ae9c-375a-4d86-a20a-ce76f7168158 · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:20:28.569294Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 962bf08b-7bd8-4e3d-bb39-2979f31f0d6f · outbound

This paper cites UniTS: A Unified Multi-Task Time Series Model.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts UniTS: A Unified Multi-Task Time Series Model

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:28.046186Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 71b8e9fc-b46b-4ad6-a159-276e007e56dc · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:20:28.558016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4edf9a0c-505a-4503-bb33-b8c411fc680a · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:28.054833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14b4215c-5669-45d1-8e07-0b6a721ed601 · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:28.058539Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 78659cc6-9827-48ea-a97a-65a0f46ee253 · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:20:28.538789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1655d7ef-8624-4d9c-aea3-36cdded1881c · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:20:28.524826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0141f27f-40b2-4135-b70d-18c9a683767d · outbound

This paper cites Y.; Shi, X.; Chen, P.-Y.; Liang, Y.; Li, Y.-F.; Pan, S.; et al.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Y.; Shi, X.; Chen, P.-Y.; Liang, Y.; Li, Y.-F.; Pan, S.; et al

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:28.513369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2ed154ac-0db1-48f5-88e0-e1eb1ee69805 · outbound

This paper cites F.; Bohlke-Schneider, M.; Zschiegner, J.; Wang, H.; and Wang, Y.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts F.; Bohlke-Schneider, M.; Zschiegner, J.; Wang, H.; and Wang, Y

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:28.502791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 78dca207-6971-4c47-9cc5-3172e8b0c5e6 · outbound

This paper cites F.; Bohlke-Schneider, M.; Zschiegner, J.; Wang, H.; and Wang, Y.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts F.; Bohlke-Schneider, M.; Zschiegner, J.; Wang, H.; and Wang, Y

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:28.491344Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fbee4e68-773e-4508-9f9d-9a8d687ae681 · outbound

This paper cites United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts United We Pretrain, Divided We Fail! Representation Learning for Time Series by Pretraining on 75 Datasets at Once

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:20:28.255039Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f881502d-2662-4983-965d-808ee63ad9a8 · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:20:28.478850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 115c5581-ef83-463f-9623-2486098d69be · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:20:28.465920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 075f3288-3698-4749-a860-49057b366403 · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:20:28.452687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 04f1d54f-4838-4034-bd98-e1bd63b6b534 · outbound

This paper cites H.; Sinthong, P.; and Kalagnanam, J.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts H.; Sinthong, P.; and Kalagnanam, J

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:28.438513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 146ade87-466b-4fc3-9e63-8171557edeaf · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:20:28.426250Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0bb71ecb-6ccd-4775-b6da-6c4dd8d20314 · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:20:28.414109Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fc54dcc0-595b-4b8d-a6ed-90166516415d · outbound

This paper cites A.; Maheswaranathan, N.; and Ganguli, S.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts A.; Maheswaranathan, N.; and Ganguli, S

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:20:28.401801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 853dd16f-80bb-4969-86d1-d98b46d83875 · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:20:28.389530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 78fe7238-b395-4960-ad4b-5f08fc10c3e0 · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:20:28.117110Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5bee9bfc-edf6-4720-8f02-63f810c1aa04 · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:20:28.376441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ca449092-26b3-44ce-816d-adfdf95dc238 · outbound

This paper cites an unresolved cited work.

TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-10T21:20:28.364068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Pith citing papers

Observation 30550fd4-dc28-412f-b697-ac114904d982 · inbound

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation cites this paper.

TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation TimeDP: Learning to Generate Multi-Domain Time Series with Domain Prompts

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:41:23.995691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.