Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T13:02:07.297487Z
Paper Citation Record · LEDGER
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling
As of 13 August 2026, this Paper Citation Record lists 22 of 22 outbound references and 0 inbound Pith citation observations for arXiv:2412.13608.
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 2026-08-13T06:32:02.005865+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
22 of 22 outbound references displayed
- verified exact1
- verified fuzzy19
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation e27a61f9-533e-465e-813d-13e19e43f255 · outbound
This paper cites SoftwareX16, 100811 (2021).
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling SoftwareX16, 100811 (2021)
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.751230Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation dfbced11-5ad2-4768-964a-44af15f37e06 · outbound
This paper cites Neurological Sciences39, 1971–1976 (2018), https://link.springer.com/article/10.1007/s10072-018-3522-z.
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling Neurological Sciences39, 1971–1976 (2018), https://link.springer.com/article/10.1007/s10072-018-3522-z
Reference 2
- Resolution
- verified exact
- doi, observed 2026-08-11T13:02:07.333087Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4034e8bc-8d6b-484a-8147-6bacd20d5bc2 · outbound
This paper cites SIAM Journal on Imaging Sciences 2(3), 879–909 (2009).
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling SIAM Journal on Imaging Sciences 2(3), 879–909 (2009)
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.738487Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation c7275802-9b24-4740-9193-8dbd5b43756a · outbound
This paper cites European Journal of Neuro- science 49(3), 328–338 (2019).
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling European Journal of Neuro- science 49(3), 328–338 (2019)
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.726296Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 35cdb839-3bc2-475b-bfdf-db14752ec43a · outbound
This paper cites Scholarpedia1(12), 2088 (2006).
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling Scholarpedia1(12), 2088 (2006)
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.713743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation beab7092-c1ea-4562-b1c9-84e690fba304 · outbound
This paper cites Cognitive screening instruments: A practical approach pp.
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling Cognitive screening instruments: A practical approach pp
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.702208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 31ad6966-be88-4195-aa9a-d65b657a9926 · outbound
This paper cites Pattern Recognition Letters 28(10), 1271–1282 (2007).
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling Pattern Recognition Letters 28(10), 1271–1282 (2007)
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.690740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 605dc096-0653-4f0d-a85d-5135495ad72b · outbound
This paper cites NeuroIm- age 190, 56–68 (2019).
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling NeuroIm- age 190, 56–68 (2019)
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.679097Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 7fdbcc93-7632-4ab2-a248-50945687c26b · outbound
This paper cites Clinical Phar- macology & Therapeutics92(1), 125–131 (2012).
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling Clinical Phar- macology & Therapeutics92(1), 125–131 (2012)
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.668177Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1f35f7c9-d4ee-4649-9904-1bd9cfe63a29 · outbound
This paper cites Journal of Neural Transmission129(3), 295–300 (2022).
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling Journal of Neural Transmission129(3), 295–300 (2022)
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.656664Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation e9617cfd-857f-46e8-b903-cfef9268897b · outbound
This paper cites In: International Conference on Information Processing in Medical Imaging.
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling In: International Conference on Information Processing in Medical Imaging
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.646729Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 21a7458c-e436-449b-9d74-24bed6486b1a · outbound
This paper cites Journal of Machine Learning Research18(133), 1–33 (2017).
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling Journal of Machine Learning Research18(133), 1–33 (2017)
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.636220Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 1123ff42-948d-4c2e-9186-5fdb3cb9425b · outbound
This paper cites IEEE Transactions on Signal Processing56(8), 3447– 3457 (2008).
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling IEEE Transactions on Signal Processing56(8), 3447– 3457 (2008)
Reference 13
- Resolution
- metadata mismatch
- raw_fallback, observed 2026-08-11T13:02:07.526178Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 51a92b36-c29e-4bd1-992e-0bc9e7f386b9 · outbound
This paper cites 309–330 (2020).
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.623955Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 9f52bc3c-ce5f-48be-9524-18ba1c2582d1 · outbound
This paper cites Where Bayes tweaks Gauss: Conditionally Gaussian priors for stable multi-dipole estimation.
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling Where Bayes tweaks Gauss: Conditionally Gaussian priors for stable multi-dipole estimation
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-11T13:02:07.354366Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 3704cf1d-ba88-4826-973c-216bd4647013 · outbound
This paper cites Brain135(3), 794–806 (2012).
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling Brain135(3), 794–806 (2012)
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.612134Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 4ef8dd31-e20b-4e0a-b2d7-1a5cb6796e74 · outbound
This paper cites Journal of Alzheimer’s Disease 26(4), 745–753 (2011).
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling Journal of Alzheimer’s Disease 26(4), 745–753 (2011)
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.599186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 09861a7e-b473-4b0b-8c1c-b817be697c08 · outbound
This paper cites In: International Conference on In- formation Processing in Medical Imaging.
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling In: International Conference on In- formation Processing in Medical Imaging
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.587586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 920069e6-5dee-43f4-8b95-1654ab20e62a · outbound
This paper cites Nature communications9(1), 4273 (2018).
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling Nature communications9(1), 4273 (2018)
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.576176Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 586267a3-172e-4298-a2b9-24bf94101668 · outbound
This paper cites Frontiers in artificial intelligence4, 613261 (2021).
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling Frontiers in artificial intelligence4, 613261 (2021)
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.564564Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation bd1e46c0-5f44-42d3-a555-df4d7e5af816 · outbound
This paper cites Proceedings of the National Academy of Sciences 113(42), E6535–E6544 (2016).
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling Proceedings of the National Academy of Sciences 113(42), E6535–E6544 (2016)
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.551924Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Observation 38681456-a89c-46ca-8d1c-1d10df02e81f · outbound
This paper cites npj Parkinson’s Disease9(1), 111 (2023).
Disease Progression Modelling and Stratification for detecting sub-trajectories in the natural history of pathologies: application to Parkinson's Disease trajectory modelling npj Parkinson’s Disease9(1), 111 (2023)
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T13:02:07.538147Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.
Pith citing papers
No inbound Pith citation observations are available.