Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T23:41:44.425559Z
Paper Citation Record · LEDGER
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery
As of 16 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2509.06396.
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
21 of 21 outbound references displayed
- verified exact8
- verified fuzzy5
- unresolved3
- parse uncertain0
- malformed identifier3
- metadata mismatch2
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 6889a6c1-7b52-4c00-87ff-0f7f4492976d · outbound
This paper cites Nature Reviews Disease Primers5(1), 5 (Jan 2019).
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery Nature Reviews Disease Primers5(1), 5 (Jan 2019)
Reference 1
- Resolution
- verified exact
- doi, observed 2026-08-04T23:41:45.235786Z
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 73404310-d176-4566-8ece-eb8f33ab01a1 · outbound
This paper cites Scientific reports14(1), 31603 (2024).
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery Scientific reports14(1), 31603 (2024)
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:46.224363Z
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 397f3755-d44b-49b7-ad2b-192672ff2f89 · outbound
This paper cites Neuro- Oncology Advances7(1), vdae216 (01 2025).
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery Neuro- Oncology Advances7(1), vdae216 (01 2025)
Reference 3
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-04T23:41:46.135220Z
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 c40c931e-5f1a-4b89-aad5-9a0b3c7beaed · outbound
This paper cites Insight j2(365), 1–35 (2009).
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery Insight j2(365), 1–35 (2009)
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:46.066996Z
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 27ded649-f264-44e7-ae54-b361d576d048 · outbound
This paper cites Cancers15(16) (2023).
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery Cancers15(16) (2023)
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:45.991417Z
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 76b6be66-e208-440f-9c9e-fb075a8a3b24 · outbound
This paper cites Scientific Reports14(1), 11085 (May 2024).
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery Scientific Reports14(1), 11085 (May 2024)
Reference 6
- Resolution
- verified exact
- doi, observed 2026-08-04T23:41:45.156398Z
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 19d7cf58-4416-4a6b-82fa-8fb6ba106279 · outbound
This paper cites Current Oncology30(11), 9382–9391 (2023).
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery Current Oncology30(11), 9382–9391 (2023)
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:45.906544Z
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 cefb1319-19b1-4245-959c-dd69599206af · outbound
This paper cites Scientific Data3(1), 160044 (2016).
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery Scientific Data3(1), 160044 (2016)
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:41:43.279886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9e252dad-9831-43f8-99b0-182e95123dba · outbound
This paper cites Cancer Research77(21), e104–e107 (10 2017).
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery Cancer Research77(21), e104–e107 (10 2017)
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T23:41:43.366198Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85b4f3f5-dff5-42c6-ba01-63dde2f76b75 · outbound
This paper cites Physics and Imaging in Radiation Oncology27, 100452 (Jul 2023).
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery Physics and Imaging in Radiation Oncology27, 100452 (Jul 2023)
Reference 10
- Resolution
- malformed identifier
- doi_truncated, observed 2026-08-04T23:41:45.564348Z
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 dd4cc005-9f37-4d32-b5c0-5a99e2b55c70 · outbound
This paper cites Radiation Oncology19(1), 182 (2024).
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery Radiation Oncology19(1), 182 (2024)
Reference 11
- Resolution
- verified exact
- doi, observed 2026-08-04T23:41:45.060571Z
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 51c426fc-af75-47e8-8d53-e911a9f55756 · outbound
This paper cites Surgical Neurology Interna- tional11, 254 (2020).
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery Surgical Neurology Interna- tional11, 254 (2020)
Reference 12
- Resolution
- verified exact
- doi, observed 2026-08-04T23:41:44.972094Z
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 502e0114-8f29-4ece-b668-9111dd3ce6f3 · outbound
This paper cites The Lancet Oncology16(6), e270–e278 (2015).
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery The Lancet Oncology16(6), e270–e278 (2015)
Reference 13
- Resolution
- verified exact
- doi, observed 2026-08-04T23:41:44.921582Z
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 30a2e59d-23cd-4abd-a9b9-0b9f7c1a331f · outbound
This paper cites The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI.
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery The Brain Tumor Segmentation (BraTS-METS) Challenge 2023: Brain Metastasis Segmentation on Pre-treatment MRI
Reference 14
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-04T23:41:45.385726Z
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 9b4925ef-f6fd-40e5-90de-7cfb329a58ed · outbound
This paper cites StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables.
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery StepMix: A Python Package for Pseudo-Likelihood Estimation of Generalized Mixture Models with External Variables
Reference 15
- Resolution
- metadata mismatch
- local_arxiv, observed 2026-08-04T23:41:45.308248Z
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 2a3ee092-3ef3-409a-bf6f-c5071d752935 · outbound
This paper cites Neuro-Oncology Advances5(1), vdac179 (12 2022).
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery Neuro-Oncology Advances5(1), vdac179 (12 2022)
Reference 16
- Resolution
- verified exact
- doi, observed 2026-08-04T23:41:44.846397Z
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 9b790942-cf02-4729-bd30-c5f08b121225 · outbound
This paper cites https://doi.org/10.1093/noajnl/vdad161.
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery https://doi.org/10.1093/noajnl/vdad161
Reference 17
- Resolution
- verified exact
- doi, observed 2026-08-04T23:41:44.709689Z
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 e2d16cc7-995e-49ec-b77b-54e10add95aa · outbound
This paper cites Frontiers in Oncology10(2021).
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery Frontiers in Oncology10(2021)
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-04T23:41:45.822791Z
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 1e88b18c-e96a-40f9-a973-da840c201b4a · outbound
This paper cites American Journal of Neuroradiology32(10), 1885–1892 (2011).
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery American Journal of Neuroradiology32(10), 1885–1892 (2011)
Reference 19
- Resolution
- verified exact
- doi, observed 2026-08-04T23:41:44.565493Z
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 c2a5b355-7067-4550-b8b4-5b90c3e7f6a4 · outbound
This paper cites an unresolved cited work.
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery Unresolved cited work
Reference 20
- Resolution
- unresolved
- raw_fallback, observed 2026-08-04T23:41:45.732844Z
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 644b6e45-3728-482f-a428-f51102e73a52 · outbound
This paper cites International Jour- nalofMolecularSciences14(1),1383–1411(2013).https://doi.org/10.3390/ ijms14011383, https://www.mdpi.com/1422-0067/14/1/1383.
AI-based response assessment and prediction in longitudinal imaging for brain metastases treated with stereotactic radiosurgery International Jour- nalofMolecularSciences14(1),1383–1411(2013).https://doi.org/10.3390/ ijms14011383, https://www.mdpi.com/1422-0067/14/1/1383
Reference 21
- Resolution
- malformed identifier
- raw_fallback, observed 2026-08-04T23:41:45.652087Z
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.