Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-07-11T00:10:53.698111Z
Paper Citation Record · LEDGER
From Jumps to Signatures: a Generative Method for Temporal Point Processes
As of 7 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2607.06652.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
62 of 62 outbound references displayed
- verified exact1
- verified fuzzy52
- unresolved8
- parse uncertain0
- malformed identifier1
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation dd50f207-ad71-4740-83d0-3ae00cab66a9 · outbound
This paper cites Maddix, Hao Wang, Michael W.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Maddix, Hao Wang, Michael W
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.560337Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 905e9ec7-0607-4dbc-b843-6ff65978ad1a · outbound
This paper cites Towards Principled Methods for Training Generative Adversarial Networks.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Towards Principled Methods for Training Generative Adversarial Networks
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.914737Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation eb6bd47e-ac39-479b-bcd1-4e0d53a6c4e3 · outbound
This paper cites Hawkes Processes in Finance.Market Microstructure and Liquidity, 1(1), 2015.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Hawkes Processes in Finance.Market Microstructure and Liquidity, 1(1), 2015
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:56.101133Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 937c5de4-1de6-4685-9ddf-a7a72402e246 · outbound
This paper cites Bretagnolle, D.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Bretagnolle, D
Reference 4
- Resolution
- verified exact
- doi, observed 2026-07-11T00:17:46.980817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 15e6bb52-7aa7-44c6-ae69-0a6dc440386d · outbound
This paper cites Deep Continuous-Time State-Space Models for Marked Event Sequences.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Deep Continuous-Time State-Space Models for Marked Event Sequences
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:56.076010Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a5bc2ba8-f4bf-43d9-bcdb-4a791c618df6 · outbound
This paper cites Springer, 2026.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Springer, 2026
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.775324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bbf8d44b-abbc-4e18-83b2-a23e0c6aecae · outbound
This paper cites Characteristic Functions of Measures on Geometric Rough Paths.The Annals of Probability, 44(6):4049–4082, 2016.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Characteristic Functions of Measures on Geometric Rough Paths.The Annals of Probability, 44(6):4049–4082, 2016
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:56.003713Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ac252d53-24a2-45c7-88c9-4178087f82a0 · outbound
This paper cites Signature Moments to Characterize Laws of Stochastic Processes.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Signature Moments to Characterize Laws of Stochastic Processes
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.470468Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f4ff5950-0450-4568-9fd6-241a97755594 · outbound
This paper cites Learning to simulate realistic limit order book markets from data as a World Agent.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Learning to simulate realistic limit order book markets from data as a World Agent
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.501540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 46bc0b5d-e648-40b7-b335-814f05c335e1 · outbound
This paper cites Limit Order Book Simulation with Generative Adversarial Networks.SSRN working paper 4512356, 2023.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Limit Order Book Simulation with Generative Adversarial Networks.SSRN working paper 4512356, 2023
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.346303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 66271953-504c-497f-860b-76ababd10972 · outbound
This paper cites Universal approximation theorems for continuous functions of càdlàg paths and Lévy-type signature models.Finance and Stochastics, 29(2): 289–342, 2025.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Universal approximation theorems for continuous functions of càdlàg paths and Lévy-type signature models.Finance and Stochastics, 29(2): 289–342, 2025
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.377868Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4fa6a86f-1d06-4fea-a3a1-631d45238018 · outbound
This paper cites Daley and David Vere-Jones.An Introduction to the Theory of Point Processes: Volume I: Elementary Theory and Methods.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Daley and David Vere-Jones.An Introduction to the Theory of Point Processes: Volume I: Elementary Theory and Methods
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.407612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 60460b74-d768-497e-8a1d-8b9b50bdad24 · outbound
This paper cites A Decoder-Only Foundation Model for Time-Series Forecasting.
From Jumps to Signatures: a Generative Method for Temporal Point Processes A Decoder-Only Foundation Model for Time-Series Forecasting
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.532395Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5b8db069-8275-49cd-bd54-292402d5f77d · outbound
This paper cites Brodsky, and Stephan Günnemann.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Brodsky, and Stephan Günnemann
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.316477Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 0ae9af38-3b8c-40d0-90f0-fdbdb3ee2cc7 · outbound
This paper cites Springer, 1997.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Springer, 1997
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.285511Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a2566765-1b24-4939-a6c7-ba078ecb8d64 · outbound
This paper cites Recurrent Marked Temporal Point Processes: Embedding Event History to Vector.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Recurrent Marked Temporal Point Processes: Embedding Event History to Vector
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.829690Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 67e52cb2-7ed0-439b-a252-7262539941dd · outbound
This paper cites Fleming and John J.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Fleming and John J
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.253016Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2779ab83-f6e2-4bbf-9b42-527a9469688f · outbound
This paper cites Folland.Real Analysis: Modern Techniques and Their Applications.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Folland.Real Analysis: Modern Techniques and Their Applications
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.857545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 16a8cde5-21d2-4bf3-8dda-2936c424aaee · outbound
This paper cites Friz and Nicolas B.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Friz and Nicolas B
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.945046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2375d7b4-801b-4f3b-a079-8de3ad1dfdab · outbound
This paper cites Point process models for COVID-19 cases and deaths.Journal of Applied Statistics, 50(11-12):2294–2309, 2023.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Point process models for COVID-19 cases and deaths.Journal of Applied Statistics, 50(11-12):2294–2309, 2023
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.976551Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bc81b746-56bb-4f68-9d66-0163733ba2a3 · outbound
This paper cites Strictly Proper Scoring Rules, Prediction, and Estimation.Journal of the American Statistical Association, 102(477):359–378, 2007.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Strictly Proper Scoring Rules, Prediction, and Estimation.Journal of the American Statistical Association, 102(477):359–378, 2007
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.137930Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 316984ed-fe07-4b92-8bf8-b32c662c2174 · outbound
This paper cites Large Language Models Are Zero-Shot Time Series Forecasters.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Large Language Models Are Zero-Shot Time Series Forecasters
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.167585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation eedf92fb-2441-4a91-846b-0301bb9c448b · outbound
This paper cites Uniqueness for the Signature of a Path of Bounded Variation and the Reduced Path Group.Annals of Mathematics, 171(1):109–167, 2010.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Uniqueness for the Signature of a Path of Bounded Variation and the Reduced Path Group.Annals of Mathematics, 171(1):109–167, 2010
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.088845Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ab4bd695-5540-4bb4-97cd-5436277fec8c · outbound
This paper cites an unresolved cited work.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Unresolved cited work
Reference 24
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:17:55.047023Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 04c8b3cb-8391-4d8b-888a-3fd9771095ef · outbound
This paper cites Personalized Dynamic Treatment Regimes in Continuous Time: A Bayesian Approach for Optimizing Clinical Decisions with Timing.Bayesian Analysis, 17(3):849–878, 2022.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Personalized Dynamic Treatment Regimes in Continuous Time: A Bayesian Approach for Optimizing Clinical Decisions with Timing.Bayesian Analysis, 17(3):849–878, 2022
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.197086Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 1b8f4e0c-d072-4784-bb2a-79a83b8fbcc7 · outbound
This paper cites EventFlow: Forecasting Temporal Point Processes with Flow Matching.
From Jumps to Signatures: a Generative Method for Temporal Point Processes EventFlow: Forecasting Temporal Point Processes with Flow Matching
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.224234Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 07c5d669-b8a8-4327-a4f1-fa4513cae1c5 · outbound
This paper cites Deep Signature Transforms.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Deep Signature Transforms
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.438770Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation da2930c8-1047-4ecb-9d39-60df6ddf8a75 · outbound
This paper cites Kingma and Jimmy Ba.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Kingma and Jimmy Ba
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.744607Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f611d7d3-690e-469a-9d44-83f3945f4ef7 · outbound
This paper cites Learning Temporal Point Processes via Reinforcement Learning.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Learning Temporal Point Processes via Reinforcement Learning
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:56.028776Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c6792c22-b3ab-4c4f-a5ff-461f71ea8a0f · outbound
This paper cites Sig- Wasserstein GANs for Conditional Time Series Generation.Mathematical Finance, 34(2):622–670, 2024.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Sig- Wasserstein GANs for Conditional Time Series Generation.Mathematical Finance, 34(2):622–670, 2024
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.013704Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 369b85d2-32de-4afc-8afc-744eca25db0a · outbound
This paper cites an unresolved cited work.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Unresolved cited work
Reference 31
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:17:54.338583Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e6337d0d-6f3c-425b-a4ce-9546b8cfe63f · outbound
This paper cites an unresolved cited work.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:17:54.823212Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a982a72b-308e-4b3d-afd2-1ba2216b12e5 · outbound
This paper cites Add and Thin: Diffusion for Temporal Point Processes.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Add and Thin: Diffusion for Temporal Point Processes
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.851188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f9b17a27-022f-40b2-81ce-35ceaaa16a25 · outbound
This paper cites Unlocking Point Processes through Point Set Diffusion.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Unlocking Point Processes through Point Set Diffusion
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.880066Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 62f0958b-093a-45dd-bab3-9795501e4fa2 · outbound
This paper cites Edit-Based Flow Match- ing for Temporal Point Processes.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Edit-Based Flow Match- ing for Temporal Point Processes
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.647007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation eca25508-caf5-4533-af1e-e91e19d71610 · outbound
This paper cites Distance covariance in metric spaces.The Annals of Probability, 41(5):3284–3305.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Distance covariance in metric spaces.The Annals of Probability, 41(5):3284–3305
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.623265Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8ac56a4c-98c9-4865-a7a2-c1209b86e371 · outbound
This paper cites Lyons, Michael Caruana, and Thierry Lévy.Differential Equations Driven by Rough Paths: École d’Été de Probabilités de Saint-Flour XXXIV - 2004.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Lyons, Michael Caruana, and Thierry Lévy.Differential Equations Driven by Rough Paths: École d’Été de Probabilités de Saint-Flour XXXIV - 2004
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.684734Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2bca6687-a6ce-496f-b7f6-a4782fd42643 · outbound
This paper cites an unresolved cited work.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Unresolved cited work
Reference 38
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:17:55.802417Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e84a0ea2-c97c-4297-882d-e9a56103cc39 · outbound
This paper cites Selby, Yao Xie, Sebastian V ollmer, and Gerrit Grossmann.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Selby, Yao Xie, Sebastian V ollmer, and Gerrit Grossmann
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.714073Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ff376e6d-7a30-4387-9983-5ccf3595e2ed · outbound
This paper cites Sig- Wasserstein GANs for Time Series Generation.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Sig- Wasserstein GANs for Time Series Generation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.981476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation bea38584-1c74-4060-b587-618de4ef6137 · outbound
This paper cites Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Deep Mixture Point Processes: Spatio-temporal Event Prediction with Rich Contextual Information
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.243148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 2e2aa6f7-4094-4f66-9b1d-1445dc772019 · outbound
This paper cites Context-aware spatio-temporal event prediction via convolutional Hawkes processes.Machine Learning, 111(8):2929–2950, 2022.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Context-aware spatio-temporal event prediction via convolutional Hawkes processes.Machine Learning, 111(8):2929–2950, 2022
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.947825Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 94195323-7ea4-4b1f-a001-da7731751ae6 · outbound
This paper cites Fully Neural Network Based Model for General Temporal Point Processes.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Fully Neural Network Based Model for General Temporal Point Processes
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.774475Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 91565db0-2ed1-44dd-940f-6148ca2a6748 · outbound
This paper cites Goodwin, John R.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Goodwin, John R
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.884148Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 251cc88f-c32a-4de7-a1e4-d7066195d412 · outbound
This paper cites an unresolved cited work.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Unresolved cited work
Reference 45
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:17:56.051890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 3bb54c0d-a4bb-41f0-9de9-f1aca52ca470 · outbound
This paper cites On Wasserstein Two-Sample Testing and Related Families of Nonparametric Tests.Entropy, 19(2):47, 2017.
From Jumps to Signatures: a Generative Method for Temporal Point Processes On Wasserstein Two-Sample Testing and Related Families of Nonparametric Tests.Entropy, 19(2):47, 2017
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.589569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation dc4154ec-c7ba-4793-ace7-5b287e9eb3b0 · outbound
This paper cites an unresolved cited work.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:17:54.616384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5babaf09-35e0-4091-829e-187a873063dc · outbound
This paper cites Fast and Flexible Temporal Point Processes with Triangular Maps.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Fast and Flexible Temporal Point Processes with Triangular Maps
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.684702Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 4e54c249-f4c2-4fc7-ab7e-8c11fc442df3 · outbound
This paper cites Neural Temporal Point Processes: A Review.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Neural Temporal Point Processes: A Review
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.741021Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 9c56d514-9817-481b-8919-92c3e8c37c2a · outbound
This paper cites Székely and Maria L.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Székely and Maria L
Reference 50
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.713415Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c10238e9-5024-488c-a707-0c31024e17ea · outbound
This paper cites Time is of the Essence: A Joint Hierarchical RNN and Point Process Model for Time and Item Predictions.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Time is of the Essence: A Joint Hierarchical RNN and Point Process Model for Time and Item Predictions
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.525140Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 047772e3-a17d-47a2-b7ae-3941211aa7af · outbound
This paper cites Springer.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Springer
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:55.655198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a3af1203-586f-49c3-83b9-614c75789092 · outbound
This paper cites Wasserstein Learning of Deep Generative Point Process Models.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Wasserstein Learning of Deep Generative Point Process Models
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.586796Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 8d25523d-8413-4d63-9f9a-e77598d2dba4 · outbound
This paper cites Zhang, Qingsong Wen, Jun Zhou, and Hongyuan Mei.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Zhang, Qingsong Wen, Jun Zhou, and Hongyuan Mei
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.491350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ffe22bf3-ca8b-4831-87ad-6b0f86566db5 · outbound
This paper cites Spatio-Temporal Diffusion Point Processes.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Spatio-Temporal Diffusion Point Processes
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.389378Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 7ab13f04-3d23-45d3-be19-e365db994ffa · outbound
This paper cites Self-Attentive Hawkes Process.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Self-Attentive Hawkes Process
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.460141Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation c6bd490f-735b-4f67-9277-e487e9f0e01b · outbound
This paper cites Automatic Integration for Spatiotemporal Neural Point Processes.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Automatic Integration for Spatiotemporal Neural Point Processes
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.557585Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 61bcbbee-33b1-4510-877c-12b05ddf31e6 · outbound
This paper cites Neural Point Process for Learning Spatiotemporal Event Dynamics.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Neural Point Process for Learning Spatiotemporal Event Dynamics
Reference 58
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.799354Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b69a6d6e-85f1-4cf1-8648-ccac23261e51 · outbound
This paper cites Imitation Learning of Neural Spatio-Temporal Point Processes.IEEE Transactions on Knowledge and Data Engineering, 34(11):5391–5402, 2022.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Imitation Learning of Neural Spatio-Temporal Point Processes.IEEE Transactions on Knowledge and Data Engineering, 34(11):5391–5402, 2022
Reference 59
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-07-11T00:17:54.915020Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation a9cb6f4a-94c0-43df-9c52-cf7660d18081 · outbound
This paper cites an unresolved cited work.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Unresolved cited work
Reference 60
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:17:54.219238Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation e66a2513-ea0a-4659-bf1c-cbce8cf66114 · outbound
This paper cites an unresolved cited work.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Unresolved cited work
Reference 61
- Resolution
- unresolved
- raw_fallback, observed 2026-07-11T00:17:54.276279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d567e7bd-de83-47ae-86a0-b251cad207f5 · outbound
This paper cites Continuity fails on all ofΦ(N); see Remark S17.
From Jumps to Signatures: a Generative Method for Temporal Point Processes Continuity fails on all ofΦ(N); see Remark S17
Reference 62
- Resolution
- malformed identifier
- raw_fallback, observed 2026-07-11T00:17:54.303386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Pith citing papers
No inbound Pith citation observations are available.