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Paper Citation Record · LEDGER

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging

As of 18 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 1 inbound Pith citation observation for arXiv:2412.03192.

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

pith.paper-citation-record.v1
2412.03192 v2

Coverage vector

measured 71 of 71 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:46:02.380551Z

measured 72 of 72 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T23:53:32.311481Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-16T12:16:17.039197Z

Reference resolution

71 of 71 outbound references displayed

  • verified exact6
  • verified fuzzy16
  • unresolved41
  • parse uncertain0
  • malformed identifier7
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 034fa16d-41da-4f14-a6c2-f103909df433 · outbound

This paper cites Ronneberger, P.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Ronneberger, P

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation ab4c5850-2f19-4eec-91ca-995044a7f491 · outbound

This paper cites Rethinking Atrous Convolution for Semantic Image Segmentation.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Rethinking Atrous Convolution for Semantic Image Segmentation

Reference 2

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unresolved
no resolver link, observed 2026-08-11T22:46:00.599751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:00.599751Z digest=sha256:28a0c707086e2b50575e6dd237491cdfee73bd2657ba08df2a595bf343757e39

Observation e06c5e9f-1e2b-41ba-8713-e085409187e9 · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 3

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no resolver link, observed 2026-08-11T22:46:00.624750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:00.624750Z digest=sha256:a74c8af4173ecda161d13ca35f02191c8e914ec5f1692f9cebf59869e51705f3

Observation 6a89072e-8e1e-4f70-9bf5-28e57bd9a595 · outbound

This paper cites Milletari, N.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Milletari, N

Reference 4

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:00.674755Z digest=sha256:aa8f8be244cff81e4eefc73c00488af0c2e0e95de7083dd25d1c99c69e59df75

Observation 74393d52-4a66-4402-b4e4-8b78ce877561 · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 5

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unresolved
no resolver link, observed 2026-08-11T22:46:00.715484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:00.715484Z digest=sha256:f3b9930fc1298662f550c7ffd1a6e8506e88a055ec7d46f4f8a1aa49f5451739

Observation 52484fce-c8ec-4be6-ada0-9c460da5159a · outbound

This paper cites Hatamizadeh, Y.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Hatamizadeh, Y

Reference 6

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malformed identifier
no resolver link, observed 2026-08-11T22:46:00.754750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:00.754750Z digest=sha256:9fc2bfa4d405710fa16b34b574ccb85a2c18b136dc1e8d3dc1fd3d93a065c357

Observation 5b7dd5ba-5ee9-4347-9d3a-0375e4997bbf · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 7

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:00.814751Z digest=sha256:40e1e17b6488b7e1f34878f01fa9829f9318881064e6e15a2fd5c92f9fbfdedf

Observation fb0bfab6-95d0-4b7b-8f65-a79b4a313bfe · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 8

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no resolver link, observed 2026-08-11T22:46:00.864799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:00.864799Z digest=sha256:2576d94dac6ad0c2aa6eb3d8038e3096f2c090ba5b38e309a750b982469da6e8

Observation af1b9c40-01f0-49a9-b8f3-ea16a2ed1d03 · outbound

This paper cites Isensee, P.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Isensee, P

Reference 9

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no resolver link, observed 2026-08-11T22:46:00.904755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:00.904755Z digest=sha256:d6816263c13b4f235283cf7c10da7974fa3c53d16446cbaedc308633d514085c

Observation 1e05d785-2f7e-4d66-af2f-a49f8c080720 · outbound

This paper cites C ¸ ic ¸ek, A.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging C ¸ ic ¸ek, A

Reference 10

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no resolver link, observed 2026-08-11T22:46:00.954749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:00.954749Z digest=sha256:2232a2602f72b7882f61ad311e8244cfc28110800970606164c28284f747e7c7

Observation 56f42333-8a74-4c37-b9ce-a1a5c944a335 · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4958ab88-c506-4ff7-ad25-c7fb2e17a2bf · outbound

This paper cites Basak, R.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Basak, R

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3684c5ba-6f24-4da6-8827-19041eff1175 · outbound

This paper cites Karimi, K.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Karimi, K

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e8719f7d-9efa-4d5d-b664-9182d166910f · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 14

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9947dac6-7d44-4272-ae23-f22bfc336b71 · outbound

This paper cites Shrestha, H.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Shrestha, H

Reference 15

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:01.064742Z digest=sha256:25aa9caadd47e8fc1c5e77924eabaca9c51198d01a2a83f4e760f980a4d8048f

Observation c27a850a-9e89-4c05-b5d5-b24a4a92408f · outbound

This paper cites Haykin, Neural networks and learning machines, 3rd Edition, Pearson, 2009.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Haykin, Neural networks and learning machines, 3rd Edition, Pearson, 2009

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:46:09.644747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:01.104754Z digest=sha256:e24630e8d4a245e826ec0af7a0157a8f309227095b43884412e68dff7991645a

Observation 2ffa1c3d-7019-4e8e-a23f-cae812542d56 · outbound

This paper cites Gerstner, W.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Gerstner, W

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d0804751-6774-45cd-a563-458efe0abdfe · outbound

This paper cites Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Synaptic Plasticity Models and Bio-Inspired Unsupervised Deep Learning: A Survey

Reference 18

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no resolver link, observed 2026-08-11T22:46:01.144769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:01.144769Z digest=sha256:ce56cf35846b56325f0d4b1d9cebae64d37da88fd59206fe3c9b05a2fdb5014e

Observation 6953e835-485d-40aa-986e-1ce91becbb25 · outbound

This paper cites Krotov, J.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Krotov, J

Reference 19

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no resolver link, observed 2026-08-11T22:46:01.167194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 65b0fa90-0e2f-4428-835e-451db03d5499 · outbound

This paper cites Moraitis, D.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Moraitis, D

Reference 20

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5c68d774-e375-45d2-9ec0-be0eb67c1c78 · outbound

This paper cites Lagani, F.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Lagani, F

Reference 21

Resolution
malformed identifier
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 4fd4e0f2-1496-4d0f-a78c-509921015ae9 · outbound

This paper cites Pehlevan, T.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Pehlevan, T

Reference 22

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malformed identifier
no resolver link, observed 2026-08-11T22:46:01.236966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 4658c03d-0204-44e5-a2b0-70e14c309b1c · outbound

This paper cites Bahroun, A.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Bahroun, A

Reference 23

Resolution
verified exact
doi, observed 2026-08-11T22:46:03.064747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 0f1a4236-e378-4cf5-9e36-bde8bba753b4 · outbound

This paper cites Lagani, F.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Lagani, F

Reference 24

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 11f1c5e3-e0ac-417d-9658-2ad7f196873a · outbound

This paper cites Sirinukunwattana, J.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Sirinukunwattana, J

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 170f965c-286e-44ed-8524-5e2d2a2633da · outbound

This paper cites Mendonc ¸a, P.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Mendonc ¸a, P

Reference 26

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Unavailable: canonical work link unavailable.

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Observation e057a942-6f33-4c0c-993f-3936679ca7f6 · outbound

This paper cites Mazziotti, F.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Mazziotti, F

Reference 27

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verified exact
doi, observed 2026-08-11T22:46:02.915704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:01.304825Z digest=sha256:8751f895a5c6320100e23cbb7f936470810e11b90f81f122b21605e6efed741f

Observation fbf70099-955f-47b8-acaa-7aaf6ed302ad · outbound

This paper cites Xiong, Q.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Xiong, Q

Reference 28

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no resolver link, observed 2026-08-11T22:46:01.319677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:01.319677Z digest=sha256:e6f7ebada5a8a5fc72f0c8e898be2a800fc1d31dd6cab13a69adfbb3a2e3973a

Observation fd8b7566-ba93-45b6-9953-59a63d24759b · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:01.322912Z digest=sha256:c1f0d8b362e46d154a3c6c957c100c9dc43b0ca83ae4324affcbab3bfc1beaff

Observation 2b022ef7-cd7a-4089-abca-d67e279e3943 · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:46:09.344750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 62acb135-9512-42c3-bee0-68bcbcd61444 · outbound

This paper cites Ouali, C.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Ouali, C

Reference 31

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no resolver link, observed 2026-08-11T22:46:01.353282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:01.353282Z digest=sha256:916ece716e6e2a626629da1da6c27cc134aa781569ef3ec43050806c67606626

Observation 1a7afb0a-75b9-4d47-b909-6d154541e557 · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:01.363791Z digest=sha256:85ca2b93f9cb0e2e5cf503d9966c67e58c4e68219367032aa4016a8e3addd966

Observation c192babf-060a-4313-9960-288892c2eead · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 33

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unresolved
no resolver link, observed 2026-08-11T22:46:01.377384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:01.377384Z digest=sha256:28b3f029e1c722c62a316d982ecf94ba2bf396abad2e898b6822acc14021f901

Observation 4a606a6a-c22d-44e3-b0b7-19f6fc18f14a · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 34

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:01.385543Z digest=sha256:4293e7d43c2de6b9f77c1afc1071c024ba88d15056ed678e113bc592b723b302

Observation ad5087cf-b96f-4521-a470-34b03c5b8aa1 · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 35

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unresolved
raw_fallback, observed 2026-08-11T22:46:09.305486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 77b7efe3-4ef7-48f6-bf7d-292ce38f5cd3 · outbound

This paper cites Ouyang, C.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Ouyang, C

Reference 36

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no resolver link, observed 2026-08-11T22:46:01.416618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:01.416618Z digest=sha256:e437c521c7acd8089a4ea2b191177694105a56d70c571d6724088144336e3d8f

Observation f4c22527-375e-4fef-8e6f-47ebfdd485ed · outbound

This paper cites Devlin, M.-W.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Devlin, M.-W

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:46:09.184748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 018d0001-e6a4-473f-adac-c9f4f24eb7cb · outbound

This paper cites Ciampi, F.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Ciampi, F

Reference 38

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unresolved
no resolver link, observed 2026-08-11T22:46:01.437115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:01.437115Z digest=sha256:1d562aa736649857857a83725d0863a453169517bfe9fad9d033a994c8822068

Observation cf517ca3-eeef-4f2b-a176-8fdb9d9539c7 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 39

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unresolved
no resolver link, observed 2026-08-11T22:46:01.494749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:01.494749Z digest=sha256:79ff94c27ccad49e186b1a1ed39bf2aada9b157012750958f67e647c9b66b211

Observation 50b1b29e-d5eb-4179-8ce8-88ddb1d767db · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 40

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no resolver link, observed 2026-08-11T22:46:01.575405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:01.575405Z digest=sha256:aecf371b2410f3b82ebecd548143cfd17783d940023f85935507e1f1f0dd6df7

Observation 92281418-83df-4b37-aa7d-00cf6df7648c · outbound

This paper cites Badar, A.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Badar, A

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:46:09.014749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:01.684750Z digest=sha256:ec1dd376cf7caed5eb49d020273b597b1b5d3580e8c100f10a216976c20d7001

Observation c0642092-23f4-46d1-8e2c-55ec8bbf3204 · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:46:08.854755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:01.734751Z digest=sha256:c92336889c5097d4b8eb4b38aa7a1d6dbbdd5de2b5d3c02e270f1211124c824a

Observation 7547a152-a4e0-4626-bce8-f3dd832ab833 · outbound

This paper cites Javed, Q.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Javed, Q

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:46:08.764748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:01.784824Z digest=sha256:da9d777ca0938810820f0fc1b8cac7802b0e0b9e38f38d0ed9b59ce4148e5175

Observation 59d8c3bd-da6b-425a-9974-ce64d4c77b64 · outbound

This paper cites Hassabis, D.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Hassabis, D

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:46:08.646033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:01.815304Z digest=sha256:16d6f1c1bc37fa4cd4662934c22547111b147d9928ab1140c2b03fe472818c1c

Observation e23de896-5ea8-4350-86e8-3cf79f80d0b9 · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:46:08.561867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:01.864830Z digest=sha256:47851c30a7db9992c95c9508644bb945e3637d1441f96552a0cec4a6abf10405

Observation 7bb29d25-1514-4027-a1ff-4c2575af418b · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:46:08.442575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:01.914750Z digest=sha256:2282c148237b5a49d3ac4a17a4b61de0d37776fec89972431c5236e34ddf2a4e

Observation ed37246b-8688-4930-a831-b95902b1788f · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:46:08.360825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:01.924744Z digest=sha256:7d8247bd91113693c49d60efc35a51203ee056e7c938691aab8d51b20cd8078e

Observation 1e32c7cb-ef50-4b4e-952d-72dcfd1e0b8e · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:46:08.251146Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:01.954746Z digest=sha256:e33da5de970821d541a79d8af8bc3451479f8d397d1c4f344f6d6b8a90d232ed

Observation 8b220cc7-ad30-4567-9ece-c315d5f72c97 · outbound

This paper cites G ¨oltz, L.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging G ¨oltz, L

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:46:08.194745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:02.004750Z digest=sha256:b09cc8b2f396750734c40638ec6e02b0b749810a3d93b3aa504a5d5beb8c92c7

Observation a42d7d11-5285-4b13-9d31-01c391a7519f · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:46:08.064744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:02.041230Z digest=sha256:b3d9749f37d7bb91b075e3c299dca56406be0a344ff5d30207f9b725c720fafe

Observation 7fd96cd4-8014-4b58-abf6-b631d94167ba · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:46:07.915576Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:02.056077Z digest=sha256:fe1334a7c05c912e0a173ac0df853ef4bc4ef448c0ca75afe8b20de13540c41c

Observation 59b19258-3020-48d8-9586-208223fbe262 · outbound

This paper cites Journ ´e, H.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Journ ´e, H

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:46:07.794095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:02.095172Z digest=sha256:ee282df0fa327d4dfa9549119189efffeabfe086a287def521176d3d35e2defd

Observation 7b5cc0ac-df2f-42e2-b4b1-df663bd436cd · outbound

This paper cites Lagani, C.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Lagani, C

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:46:07.684740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:02.134815Z digest=sha256:08d153bd47da0ffed48311bf9e7f577ec578837860bc22af395178960237ab4c

Observation 654dfc7d-ac12-4c60-bdf0-a0217b650d3e · outbound

This paper cites Ciampi, G.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Ciampi, G

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:46:07.524749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:02.165256Z digest=sha256:16e355c87623101a40bbadfdca421135260cececda13b21994fdb8f2b2b30754

Observation 5237ab50-53e6-4e7f-8b79-34448db6c82a · outbound

This paper cites Badrinarayanan, A.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Badrinarayanan, A

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-11T22:46:02.188722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:02.188722Z digest=sha256:2ea7ac75a93710d57af76098b831e3564e9bba8834258d24ccd198f5e3c8743f

Observation 55bbdc50-8065-48a5-9709-5b5f6adb0ad7 · outbound

This paper cites Bengio, P.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Bengio, P

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:46:07.393812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:02.224248Z digest=sha256:c5bc243b07f08bc5ced06b84be3643442b9a87affdd396f3efd4a02d61b1756a

Observation a9235351-0393-4fd8-b824-b640ffb9c7bd · outbound

This paper cites Larochelle, Y.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Larochelle, Y

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:46:07.364742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:02.257769Z digest=sha256:7b81fb76028bdf531d224cf6c1722fa6ff7fdec891e6c45f43cc0347bfb8d572

Observation 813d59ee-f643-44a1-978e-dd8134bbe243 · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-11T22:46:07.144752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:02.274836Z digest=sha256:25f566d962bd1293cef17ee963e8d1cf25c8135856066553392418f3603fbfcf

Observation 3781f334-5821-466f-b734-d2400d643221 · outbound

This paper cites Zhang, K.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Zhang, K

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:46:07.024826Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:02.284738Z digest=sha256:145294365ae02e417143b418877de698fc5c0acc261f83edb46cfbc9712324a0

Observation c33d8344-4080-40f0-99fa-70e3f916bd09 · outbound

This paper cites Grossberg, Adaptive Pattern Classification and Univer- sal Recoding, I: Parallel Development and Coding of Neu- ral Feature Detectors, The MIT Press, 1991, p.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Grossberg, Adaptive Pattern Classification and Univer- sal Recoding, I: Parallel Development and Coding of Neu- ral Feature Detectors, The MIT Press, 1991, p

Reference 60

Resolution
verified exact
doi, observed 2026-08-11T22:46:02.781771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:02.289055Z digest=sha256:b8216a48e713e30d379703d5b9d743c901f4cc7a96920df50e894c3a515fef65

Observation db4d3191-319b-4201-937d-36c5d9f53835 · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-11T22:46:02.295178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:02.295178Z digest=sha256:a7ce56063ba2d222808d4117a5cd2d40b5a3f26706059c8bcf0595abb3487a7f

Observation 290a3c67-15f2-4073-86f5-de0fbc55f6cd · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-11T22:46:02.309376Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:02.309376Z digest=sha256:f042211b9c8f018aa1662543c2ad313fff370921df792e2834ab33c2c8180f4f

Observation c25ea7dd-4360-449b-9e8b-66fb38676165 · outbound

This paper cites Karhunen, J.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Karhunen, J

Reference 63

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T22:46:06.946117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:02.313311Z digest=sha256:44a52a89748b1af97302856366d996419218d9fb9a6686ba1a76b0453aebed24

Observation 94b15751-b6fa-4076-9a86-ddc343ef3d48 · outbound

This paper cites Becker, M.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Becker, M

Reference 64

Resolution
verified exact
doi, observed 2026-08-11T22:46:02.564800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:02.320421Z digest=sha256:86d3d0bf103a0b1696899e386eaec8844435634ba98d25b3e5b2fc5b0bd89777

Observation 45781386-3fb6-42d8-97b8-79b327b80d58 · outbound

This paper cites Luo, Architectures of neuronal circuits, Science 373 (6559) (2021) eabg7285.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Luo, Architectures of neuronal circuits, Science 373 (6559) (2021) eabg7285

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-11T22:46:02.325462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:02.325462Z digest=sha256:3a52ddb668e5fa5394fd3e120eb59763188da86492967356a4cbf91179a26dfe

Observation 8a6df37f-16b3-4266-b143-0e67a730f94f · outbound

This paper cites A guide to convolution arithmetic for deep learning.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging A guide to convolution arithmetic for deep learning

Reference 66

Resolution
unresolved
no resolver link, observed 2026-08-11T22:46:02.330303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:02.330303Z digest=sha256:f615cce1c43a44e7f9f3d59d4fd5efbf13c63080b759b587731edc20c5cc3ffd

Observation 9824c5a3-26a5-4a41-bd71-90f01320fd0c · outbound

This paper cites Lagani, F.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Lagani, F

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T22:46:06.884747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-11T22:46:02.335986Z digest=sha256:d1c13abbd59117837362daea5342b045eae1fb878c3dca5f7fd1b5e11cae90b1

Observation 56711905-fcbb-42c8-8ac3-7ca01f6f66ae · outbound

This paper cites Hebbian Deep Learning Without Feedback.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Hebbian Deep Learning Without Feedback

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-11T22:46:02.346840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:02.346840Z digest=sha256:b08dbe19ab2020e85f5165b426631129e9abc98f0f046aef9b56e3d8faa3f8d9

Observation 65de6c6a-d3dd-4aa7-9e59-8fb2e3756d62 · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 69

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unresolved
no resolver link, observed 2026-08-11T22:46:02.374762Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:02.374762Z digest=sha256:c1422d8e49cbdefe20768ea98ef905fda512e1744c40317f0f5c531434d10c8b

Observation 095f6054-21bf-4cc7-9a8a-5c40d57048c9 · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 70

Resolution
malformed identifier
no resolver link, observed 2026-08-11T22:46:02.380551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:02.380551Z digest=sha256:82d3c1f5a31175f1ed09158016f7d30c65758b8b1b85243dd5d0aa1bb65d19e2

Observation 5ef16c68-7a14-4651-9138-1ecb4d8d10c5 · outbound

This paper cites an unresolved cited work.

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging Unresolved cited work

Reference 241

Resolution
unresolved
no resolver link, observed 2026-08-11T22:46:00.588587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T22:46:00.588587Z digest=sha256:b311d9a15493727852c3d69b9fe69968d422ef11575e576650db7faadc3209e0

Pith citing papers

Observation fc3f3051-f54b-477d-b0c7-0395fb64ff3e · inbound

From Neurons to Computation: Biological Reservoir Computing for Pattern Recognition cites this paper.

From Neurons to Computation: Biological Reservoir Computing for Pattern Recognition Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging

Reference 10

Resolution
metadata mismatch
local_arxiv, observed 2026-08-15T23:53:34.884773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-15T23:53:32.311481Z digest=sha256:30e623bcbd13cefd06939f553b89d3181b30ee09c0703f972d2ec2b9ee4caae4