Pith. sign in

Paper Citation Record · LEDGER

TumorTwin: A python framework for patient-specific digital twins in oncology

As of 21 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 1 inbound Pith citation observation for arXiv:2505.00670.

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

pith.paper-citation-record.v1
2505.00670 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T04:41:05.012466Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T01:45:05.606735Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:56:56.899342Z

Reference resolution

53 of 53 outbound references displayed

  • verified exact0
  • verified fuzzy25
  • unresolved27
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f84155bb-8530-424f-ad03-71c1d128847e · outbound

This paper cites Abbasi, S.

TumorTwin: A python framework for patient-specific digital twins in oncology Abbasi, S

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.866090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.765059Z digest=sha256:f52c0686119c6bbf8a3c2f4820d7b5db565bf81f688440189d942e9dbfde4016

Observation a44e0cff-53a1-4db9-beb4-48c308156020 · outbound

This paper cites Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge.

TumorTwin: A python framework for patient-specific digital twins in oncology Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T04:41:04.770738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:41:04.770738Z digest=sha256:e8231ab9a51f2a9a78023206f6e1160a3744db8aaf87769199ae23064fee2af3

Observation 7fc9b5a3-f09c-4415-928a-a0926be38e20 · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.842416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.776292Z digest=sha256:aba39617ca468034bdfd1b9dbdfd6720b55f6743a192439dd4d6d3e7b2a10528

Observation f6979100-8b0c-4778-b4c1-ad00a2813d05 · outbound

This paper cites Chaudhuri, B.

TumorTwin: A python framework for patient-specific digital twins in oncology Chaudhuri, B

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.824992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.780688Z digest=sha256:e0431edf0a8688087fff52c5511360dda18fec008f76e4500e3b953574ddc5ad

Observation f2e95860-4bd1-41f0-b5aa-94d602dee117 · outbound

This paper cites Chaudhuri, G.

TumorTwin: A python framework for patient-specific digital twins in oncology Chaudhuri, G

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.807969Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.785363Z digest=sha256:c790e6e70e4a0887492543e1d04149f3e116dd9015903cd710f9881cadb045b1

Observation a1d5a1cd-9a27-45d2-9fca-9c1d4c68436f · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T04:41:04.789821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:41:04.789821Z digest=sha256:5eea7663f840db53124fb1290eb5a94573ad9b661faaa44f506fc9476d7d4ab9

Observation 89160bfe-bfc8-4281-834e-9fb7959e9317 · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.779943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.794852Z digest=sha256:597b5cf7afe18b0d6af9a492cdbbdcd9c6e968cc192088eaae4e8fe04b486087

Observation 2a5b80fd-7e3c-4790-94e2-35b218da0b8d · outbound

This paper cites Christenson, C.

TumorTwin: A python framework for patient-specific digital twins in oncology Christenson, C

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.764228Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.799072Z digest=sha256:21fc7f12538f2cd4dcf67f6e5dd384864f475dc548034c048645d45ee7f8d9c3

Observation 97917a67-695c-4d2d-92b6-a05ba7ff3949 · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.748864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.803190Z digest=sha256:a3b6c01db50034c480a26a95b82d169fe3dcddc60f4d821dfee6c44221400ea1

Observation b830f1b3-9478-4733-9ab1-788bc28b1990 · outbound

This paper cites Ghaffarizadeh, R.

TumorTwin: A python framework for patient-specific digital twins in oncology Ghaffarizadeh, R

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.733758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.807198Z digest=sha256:0dffd2c4d4f2c11e5b2cc16b81e5c070eaa5cede691e84e650ca2d82bc2501c1

Observation 7b306dd2-4fed-4f55-914d-6e4fe0152c76 · outbound

This paper cites Ghattas and K.

TumorTwin: A python framework for patient-specific digital twins in oncology Ghattas and K

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.716776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.811184Z digest=sha256:2f26b8b22e5dcf1a275808f30cb34be0c1f6d6e0ba8fb56f6b7e16f2035c2ea9

Observation b7627ae6-ece9-4562-bc2b-74d51bed121d · outbound

This paper cites Hairer, S.

TumorTwin: A python framework for patient-specific digital twins in oncology Hairer, S

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.701026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.815334Z digest=sha256:235ebfdb1834afc3e8b0638874d01f1e7e47a83a185184ad397be763c6db09da

Observation 01140389-c62a-48df-8962-69d58d4243c0 · outbound

This paper cites Hawkins-Daarud, S.

TumorTwin: A python framework for patient-specific digital twins in oncology Hawkins-Daarud, S

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.686085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.819673Z digest=sha256:1818018653f1563e68c752c4f924980ed25b1460e54184f5f8c3db9c52d13dc7

Observation 1ae650e9-d4d2-449b-b289-80c6acc463bb · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.671011Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.823787Z digest=sha256:54829bae97c2d498f3a52ddafab615b8bdae07393b0b560f8c7f5f29817c4045

Observation a363bb32-895d-4479-8290-8f1a9de75ce1 · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.657077Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.828916Z digest=sha256:2342004a118e057ff73c1f5d07d8caee5a7b87a8fbd8af54bf3100f10900387d

Observation 5a17780c-a07f-4a6f-80fe-d60538bf47d1 · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.626511Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.838828Z digest=sha256:bfb4b1c76db0b1a1b0edc4b0e176fa5e6178487db37af4e294f74b7f89afddfc

Observation 5356f263-8bd9-4f52-9d1a-e01201462905 · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.611103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.843694Z digest=sha256:6049809d0ac03c33bea69eccf9f989b8f8183e5638332bf151520d695f68e7b0

Observation 9cb4b0e7-2354-4d85-ae4e-c81ee940ee1d · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.596764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.848260Z digest=sha256:e4ec89d051b3f44db076e4af9e4b625a6d1a4f8d9db0f6c7b461d91eeb98ade9

Observation 84f8830a-1428-4d31-b02b-7d4c94271e3c · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.580920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.852688Z digest=sha256:a728bca4b080df6d13d5a54a21960adfb157958d22d9c0b11f71acb37e28e833

Observation 3c182d41-0e65-4876-a481-6f0bf87abc6d · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.565555Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.857338Z digest=sha256:7acadc5ea1577fd6f600140fd154567b5e3d932c066690e9875c081e20c399ca

Observation 5e37772a-8c7e-4914-8aeb-781701235123 · outbound

This paper cites Kidger, R.

TumorTwin: A python framework for patient-specific digital twins in oncology Kidger, R

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.551087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.861990Z digest=sha256:11efdfc4fd80becf2d354cbf00f0542a57a44ac8baf3d19838ea7b9cedc480a0

Observation 679aea25-c43f-4f44-a9b9-1c4f81ac0f55 · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.535301Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.866705Z digest=sha256:1b5a52fe0c94983f8edf0440f5f3ddfbc3e7a05bcafb3ca2fda0eefa64bf53f8

Observation 1f7aa5ec-6afd-416e-a4f5-7819586e827e · outbound

This paper cites Laubenbacher, B.

TumorTwin: A python framework for patient-specific digital twins in oncology Laubenbacher, B

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.519203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.871332Z digest=sha256:84636e2543861391ecabf4812a13ec87b0e679716b64c11f8323bb148fef0ce1

Observation 112af319-1bd0-4af6-a4c0-211d24bc49e0 · outbound

This paper cites Leder, K.

TumorTwin: A python framework for patient-specific digital twins in oncology Leder, K

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.502314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.875789Z digest=sha256:d9937d64e4eeb5842793da211dc6c293ec4d103d9e826b89203e47143232a6c0

Observation cddf438d-d660-4bb6-a880-bc9798088642 · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-16T04:41:04.880313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:41:04.880313Z digest=sha256:36520fba14c8b85c5fac5f99b27315bdf853e2ac87482c669050919952f1030a

Observation 4abbc6eb-1514-4318-9865-693cc54770fd · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.475664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.884854Z digest=sha256:7e97e2557ea731105c158052055161db33847c3719325f48177ee66b34751463

Observation 503465d7-2f1f-4175-bfd6-012ed87ca090 · outbound

This paper cites Liang, J.

TumorTwin: A python framework for patient-specific digital twins in oncology Liang, J

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.458624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.889465Z digest=sha256:85eb087192761a4a9bbbcff277fad952c8aef9ac3ab13f930d0ff21d3ae1a72b

Observation 6a669c8f-527e-4832-b037-ffef30dcffe1 · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.443626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.894475Z digest=sha256:7480d396e8a5320eef89c1d4bbd349427303c60e45523011020801653774dd66

Observation 9937f10a-e18e-4875-bc9e-e68d11386397 · outbound

This paper cites Lipkova, P.

TumorTwin: A python framework for patient-specific digital twins in oncology Lipkova, P

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.427996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.899391Z digest=sha256:56e578c2d3c65fed028672a4305d015f3d11863b1fca82580c73b6a4be61370b

Observation b930b3c8-414f-4332-9d85-2f81f3224e0a · outbound

This paper cites Lipkov´ a, B.

TumorTwin: A python framework for patient-specific digital twins in oncology Lipkov´ a, B

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.412178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.904367Z digest=sha256:43eefaded8b68437eb9799d485270eb86398c5a0769f733f5e49f91855bc3436

Observation 807f3613-a92f-4a28-98b2-4c3078dab61d · outbound

This paper cites Validating the predictions of mathematical models describing tumor growth and treatment response.

TumorTwin: A python framework for patient-specific digital twins in oncology Validating the predictions of mathematical models describing tumor growth and treatment response

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T04:41:04.910190Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:41:04.910190Z digest=sha256:bd4aac0230cac80144539eea8754a87d7f69cea0153ea71ced4bcb7f1c5d8361

Observation 2c2bd7bc-e0d6-473e-8337-7b35c93a9393 · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.395862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.915454Z digest=sha256:8e20351a9064c3225684ef154a283bd1e6ea8f28a89042edcbd28086e3c06bd8

Observation b0e547ce-9cdc-4b5b-aa95-94a2b070a08d · outbound

This paper cites Metzcar, C.

TumorTwin: A python framework for patient-specific digital twins in oncology Metzcar, C

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.380439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.920303Z digest=sha256:33b21f0c4621afaa4ce6bfdabcba0ffd49cf08202eb041c0ff7def433dfd178a

Observation 0093a4ee-8bd8-46b5-830d-e232e8e73a1c · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.366701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.925074Z digest=sha256:e3d9c7e92abd6c293026a96242c622bf8d0cc8054bc7cd76ec1a9acc53a2f0ee

Observation dc7e3f72-c54a-484f-8335-1988b5030ac8 · outbound

This paper cites National Academies of Sciences, and Medicine.

TumorTwin: A python framework for patient-specific digital twins in oncology National Academies of Sciences, and Medicine

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.352560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.929801Z digest=sha256:9fe785466d976288c84893fe5c9171e96d08c8c5840b9f59c6f11895d94821ab

Observation c3ed3e40-082a-41ef-b1fa-c58c4768632f · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.336200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.934905Z digest=sha256:8340245fcb795aa28e3fc34397f27ac7a3a698e9429037960c36cef707d32095

Observation 7cc93013-d408-4c77-9c85-560e171c2d1d · outbound

This paper cites Newman, J.

TumorTwin: A python framework for patient-specific digital twins in oncology Newman, J

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.319474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.939555Z digest=sha256:a75dd61f2b1a8ac6b0ab0b24ac6b10da0c67ecf4d012b7e1ec0b4abd58629680

Observation 0c8315b4-2e76-4db6-af52-cf7aee4a388b · outbound

This paper cites Niarakis, R.

TumorTwin: A python framework for patient-specific digital twins in oncology Niarakis, R

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.302058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.944210Z digest=sha256:1ee9f57a6e155f2025208b69acb3ef822b83e91e66f374000dca27ed1ddc5a29

Observation 174b5fdb-70f3-44ad-9bde-6f935b8353c9 · outbound

This paper cites Quarteroni and A.

TumorTwin: A python framework for patient-specific digital twins in oncology Quarteroni and A

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.287238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.948884Z digest=sha256:3c7e89943ad4dab022e60b9c2a37eba13b3a4646717869e98ba35445588b929d

Observation 7c097aa6-d792-49db-8323-0092c8974a40 · outbound

This paper cites Rohlfing, N.

TumorTwin: A python framework for patient-specific digital twins in oncology Rohlfing, N

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.272849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.954475Z digest=sha256:3e519b0b34ddab26a7e9b5b0b621c5d44b2b78e15963caf5199005c5b2cda669

Observation 99fd4824-62cf-47f5-80cd-323ecd81cea1 · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.258515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.958885Z digest=sha256:eee357444becf472984a6924ff64ddbaf8b08682fb35ebd0b1783087c0007f49

Observation a4de6691-e852-48c4-810f-be4c79200e94 · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.243374Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.963391Z digest=sha256:c30748702cb78ef82bd75f0758acd1e7a48a6ad80ccf5866f9c629afb4f15a95

Observation 66fa9ddd-69be-4c9d-94d3-e79eba3794cd · outbound

This paper cites Starruß, W.

TumorTwin: A python framework for patient-specific digital twins in oncology Starruß, W

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-16T04:41:04.967978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T04:41:04.967978Z digest=sha256:33476d646dec129af8d54deb30a479b9342b1cdb7ffa826d135af25fef479cce

Observation 58d93bd3-c793-44b2-be8e-1e1cefa59bb7 · outbound

This paper cites Stupp, W.

TumorTwin: A python framework for patient-specific digital twins in oncology Stupp, W

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.216707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.972593Z digest=sha256:172e1d290ab4d4d4644fca983ec0bf0efda103d0cc2c745c95c25f6ec64cada6

Observation 86240d99-f387-42e5-94cc-1779f3b4973d · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.201075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.977009Z digest=sha256:a3e1d5eac299201dbd1788cfe667ea8a9b832c4e77ba7b1620aba526551eccab

Observation e7ed21d7-f6ab-493e-9c68-c3db2d17e576 · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.185240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.981556Z digest=sha256:e30183520da3f0d8d976cfd66f16a905caf75a3fd2688af70900e786c950a9ce

Observation 11c9b9bf-4555-42e6-8253-5103b235e303 · outbound

This paper cites Tisue and U.

TumorTwin: A python framework for patient-specific digital twins in oncology Tisue and U

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.169427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.986113Z digest=sha256:df9414a819d589788cc8ccb87efc67c5da5867b6e64ae81c58910d46a2b0ba7b

Observation 8c03bb7e-f252-46ac-8337-286ce348ffd9 · outbound

This paper cites Tyrrell Rockafellar and J.

TumorTwin: A python framework for patient-specific digital twins in oncology Tyrrell Rockafellar and J

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.152677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.990493Z digest=sha256:f7ad015c2e3abe0340c90348140ec70142149e0e81ecf13ec6baefab30acee11

Observation db4234cb-a73d-46f0-9189-5b348024dd3f · outbound

This paper cites Woodhams, S.

TumorTwin: A python framework for patient-specific digital twins in oncology Woodhams, S

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.136603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.994819Z digest=sha256:96c9c22c1427b4a3e7885322825226e5f8faa9ba0c15baf501ca47123c4b0779

Observation aca05db8-dfa6-4a14-bd95-78b0e84d4bb2 · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.119284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:05.003197Z digest=sha256:408b0f4ff454c372036ac331db83fbb6c89579011b0deb4de4a3167feca315c5

Observation f6f136d6-c301-4e7c-be56-08900478ceb8 · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-16T04:41:05.102014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:05.007313Z digest=sha256:ad2e5539fcbe3bcae636c440129a814c484a326f6c803a550fcea036babf23b0

Observation a4431fad-48ec-4306-95aa-e3f70941e90a · outbound

This paper cites Zahid, A.

TumorTwin: A python framework for patient-specific digital twins in oncology Zahid, A

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T04:41:05.085119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:05.012466Z digest=sha256:bbd227e73dcd61a61669cf692c541d3b3781c11410a659b2a2cdd0561ba3ea5f

Observation 247d2037-fe24-40ac-9801-381a98fcc04d · outbound

This paper cites an unresolved cited work.

TumorTwin: A python framework for patient-specific digital twins in oncology Unresolved cited work

Reference 2022

Resolution
parse uncertain
raw_fallback, observed 2026-08-16T04:41:05.642456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-16T04:41:04.833771Z digest=sha256:3f775fbe41b6a7d528c7704183ba1ed22114bab116f9d7daa095fffb54d87f9a

Pith citing papers

Observation c7311481-3ce8-44ea-ab36-50c5c0cfe802 · inbound

Integrating Mechanistic and Data-Driven Models for Neurological Disorders through Differentiable Programming cites this paper.

Integrating Mechanistic and Data-Driven Models for Neurological Disorders through Differentiable Programming TumorTwin: A python framework for patient-specific digital twins in oncology

Reference 111

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:56:56.900674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T01:45:05.606735Z digest=sha256:e5c13f088921e88692101dae7be4d60d7af238a03d38849e5db23822b5b79ff9