Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:58:37.308394Z
Paper Citation Record · LEDGER
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis
As of 16 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:1908.06137.
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 2026-08-16T06:30:59.297886+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
33 of 33 outbound references displayed
- verified exact0
- verified fuzzy32
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 47354301-77bc-46b3-bd74-e7af46bcd63b · outbound
This paper cites Epidemiology and natural history of systemic sclerosis.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Epidemiology and natural history of systemic sclerosis
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:39.244276Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 9dd21758-8d5f-40e3-a684-34d923070e53 · outbound
This paper cites Pulmonary arterial hypertension in systemic sclerosis: the need for early detection and treatment.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Pulmonary arterial hypertension in systemic sclerosis: the need for early detection and treatment
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:39.220324Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 98871443-9346-438b-b8e4-1acf6ecda80e · outbound
This paper cites The clinical relevance of autoantibodies in scleroderma.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis The clinical relevance of autoantibodies in scleroderma
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:39.197558Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 63e14190-2472-4d3a-94d6-4c9aee5e6252 · outbound
This paper cites Incidence and preva- lence of systemic sclerosis: a systematic literature review.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Incidence and preva- lence of systemic sclerosis: a systematic literature review
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:39.022299Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation c173a5c7-1044-4f77-8321-531b4264fec5 · outbound
This paper cites Biomedical applications of collagen.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Biomedical applications of collagen
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:38.966068Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 452e3c47-6d4c-45bb-ae44-1d7b41b2f2e7 · outbound
This paper cites Collagen structure and stability.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Collagen structure and stability
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:38.932730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation fd3678d7-aedb-42e2-b189-cb70c19a9053 · outbound
This paper cites Preliminary criteria for the classification of systemic sclerosis (scleroderma).
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Preliminary criteria for the classification of systemic sclerosis (scleroderma)
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:38.914669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 43078932-7bb9-4d2a-8b25-787caa9d12cb · outbound
This paper cites Preliminary criteria for the very early diagnosis of systemic sclerosis: results of a delphi consensus study from eular scleroderma trials and research group.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Preliminary criteria for the very early diagnosis of systemic sclerosis: results of a delphi consensus study from eular scleroderma trials and research group
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:38.899205Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 8af51c1d-d0a7-4a20-b271-a7c4ae948bf2 · outbound
This paper cites 2013 classification criteria for systemic sclerosis: an american college of rheumatology/european league against rheumatism collaborative initiative.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis 2013 classification criteria for systemic sclerosis: an american college of rheumatology/european league against rheumatism collaborative initiative
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:38.850187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d7132a40-6c7e-4c19-a5c6-c8094fdb28a7 · outbound
This paper cites Gene expression of types i and iii collagen, decorin, matrix metalloproteinases and tissue inhibitors of metalloproteinases in skin fibroblasts from patients with systemic sclerosis.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Gene expression of types i and iii collagen, decorin, matrix metalloproteinases and tissue inhibitors of metalloproteinases in skin fibroblasts from patients with systemic sclerosis
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:38.605905Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 6adf7431-18c7-4bc8-90f1-6cc9a5568636 · outbound
This paper cites Patologia oral e maxilofacial.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Patologia oral e maxilofacial
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:38.563482Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 09e27be6-77ab-4ce8-8c64-829eba38d5d7 · outbound
This paper cites Small mouths.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Small mouths
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:38.531451Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3a69a770-0de9-4424-856c-0fdae6225066 · outbound
This paper cites Systemic sclerosis.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Systemic sclerosis
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:38.416499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1dd06102-94a5-4fa6-bcf7-6a937ec016ea · outbound
This paper cites A study on oxygen saturation images constructed from the skin tissue of human hand.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis A study on oxygen saturation images constructed from the skin tissue of human hand
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:38.390610Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation daa425f3-a3d0-469b-80d0-3c4531b0e8ec · outbound
This paper cites Biomedical Photonics Handbook, 3 Volume Set.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Biomedical Photonics Handbook, 3 Volume Set
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:38.360753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7bd102b1-09b3-457c-90cb-e0aae0d773d3 · outbound
This paper cites Near- infrared diffuse optical tomography.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Near- infrared diffuse optical tomography
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:38.250208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 3b1a1632-2011-467a-994c-59806acbe82b · outbound
This paper cites A review on continuous wave functional near-infrared spectroscopy and imaging instrumenta- tion and methodology.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis A review on continuous wave functional near-infrared spectroscopy and imaging instrumenta- tion and methodology
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:38.199022Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7f66e006-5787-4afd-b9fa-9e0330244168 · outbound
This paper cites An optimization perspec- tive on baseline removal for spectroscopy.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis An optimization perspec- tive on baseline removal for spectroscopy
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:38.166371Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 38fcd271-55f2-4774-b3bd-5a22e8f14d26 · outbound
This paper cites A tutorial on support vector machines for pattern recognition.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis A tutorial on support vector machines for pattern recognition
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:38.091100Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 4880d2d0-4f57-4594-bd45-2a9031ce7d21 · outbound
This paper cites Pedregosa, G.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Pedregosa, G
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:58:36.970503Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 14e0ee3b-4056-41ba-905e-907cbd4fb3bb · outbound
This paper cites Libsvm: A library for support vector machines.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Libsvm: A library for support vector machines
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:38.018391Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 97caf7d3-56d9-429d-ba7e-28113993cc48 · outbound
This paper cites Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Probabilistic outputs for support vector machines and comparisons to regularized likelihood methods
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:37.980707Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation b925b221-6c49-4477-b78f-cbc2cfec54b3 · outbound
This paper cites Gene selection for cancer classification using support vector machines.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Gene selection for cancer classification using support vector machines
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:37.865170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 00fc96bd-9782-4715-a3b6-333c505f9a91 · outbound
This paper cites On statistical bounds of heuristic solutions to location problems.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis On statistical bounds of heuristic solutions to location problems
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:37.798030Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7c235e18-e59b-4b20-b3fe-1dc4d49ae141 · outbound
This paper cites Direct detection of singlet oxygen generated by uva irradiation in human cells and skin.Journal of Investigative Dermatology, 127(6):1498– 1506, 2007.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Direct detection of singlet oxygen generated by uva irradiation in human cells and skin.Journal of Investigative Dermatology, 127(6):1498– 1506, 2007
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:37.776534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation dba7dcca-1001-4057-a2ec-ef332b079578 · outbound
This paper cites Uva radiation-induced oxidative damage to lipids and proteins in vitro and in human skin fibroblasts is dependent on iron and singlet oxygen.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Uva radiation-induced oxidative damage to lipids and proteins in vitro and in human skin fibroblasts is dependent on iron and singlet oxygen
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:37.714866Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 1df093ba-7306-4500-9ce7-f076d950fe4b · outbound
This paper cites Singlet oxygen-mediated damage to proteins and its consequences.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Singlet oxygen-mediated damage to proteins and its consequences
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:37.600519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7fc6a58a-b536-493a-a56c-96611c742d7a · outbound
This paper cites Singlet oxygen stress in microorganisms.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Singlet oxygen stress in microorganisms
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:37.586187Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a2a8684f-5eac-41e3-b167-8db695f90491 · outbound
This paper cites Singlet oxygen induces collagenase expression in human skin fibroblasts.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Singlet oxygen induces collagenase expression in human skin fibroblasts
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:37.570149Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation a6c90bb2-0a48-407d-b22f-e94f854fc6c7 · outbound
This paper cites Kinetics of singlet oxygen photosen- sitization in human skin fibroblasts.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Kinetics of singlet oxygen photosen- sitization in human skin fibroblasts
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:37.508992Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f6b8dd62-a60d-42e3-88b0-df18a7d8bf98 · outbound
This paper cites A double-blind placebo-controlled trial of antioxidant therapy in limited cutaneous systemic sclerosis.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis A double-blind placebo-controlled trial of antioxidant therapy in limited cutaneous systemic sclerosis
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:37.445094Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 77da3844-cd53-4a08-b1fb-a5c116b10a18 · outbound
This paper cites Oxygen free radicals and systemic autoimmunity.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Oxygen free radicals and systemic autoimmunity
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:37.431063Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 901c4e75-6658-44fb-bf30-f5c085a98820 · outbound
This paper cites Review of short- wave infrared spectroscopy and imaging methods for biological tissue characterization.
Using Near Infrared Spectroscopy and Machine Learning to diagnose Systemic Sclerosis Review of short- wave infrared spectroscopy and imaging methods for biological tissue characterization
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:58:37.416781Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.