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Paper Citation Record · LEDGER

Biologically-inspired Semi-supervised Semantic Segmentation for Biomedical Imaging

As of 14 August 2026, this Paper Citation Record lists 71 of 71 outbound references and 0 inbound Pith citation observations 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 71 of 71 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

71 of 71 outbound references displayed

  • verified exact6
  • verified fuzzy16
  • unresolved41
  • parse uncertain0
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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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Source-reported events for the cited work

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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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Source-reported events for the cited work

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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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Unavailable: canonical work link unavailable.

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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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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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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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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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

Reference 11

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

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

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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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Source-reported events for the cited work

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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

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verified fuzzy
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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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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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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Source-reported events for the cited work

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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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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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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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

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Source-reported events for the cited work

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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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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

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verified exact
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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+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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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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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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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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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

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

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

Reference 29

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

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

Reference 30

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Source-reported events for the cited work

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

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

Reference 32

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

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

Reference 33

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

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

Reference 34

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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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Source-reported events for the cited work

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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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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

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Source-reported events for the cited work

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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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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=sha256:43b9b8a2a645c9efdd3b64f298e0c19ebc6a7f79ee0d459ca619f06674748cd9

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

Resolution
unresolved
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=sha256:11ce30ab4003872b65d13151f03346376800d10d2a55749c32ba11fd4bf13878

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:01.684750Z digest=sha256:b095f08f4ebaa0e112a9ec18b8d414b0a6ba291d61924a2fb129c1693654085f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:01.734751Z digest=sha256:0df68a762c340f6c862e32d9ae2f360e00fa439fa4c1d884cfd29699162bc9c1

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:01.784824Z digest=sha256:e6de2ae15d4a70fa49435ae2d2b4e6762a38d0093e3ce2e800750f3e6d936597

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:01.815304Z digest=sha256:be8cf1e3f0e732109236ea913112255ae6ca6e871fe2763749f482f73a38128c

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:01.864830Z digest=sha256:2e31ebf2a8cb3aa493431c6f4b287d4fb64d21f212a97db6127da5e23bfdb9ca

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:01.914750Z digest=sha256:92a510e363cbded2ace3bbd36db9448a629099532f83c7bc2e5a62ad09423330

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:01.924744Z digest=sha256:c11253aec0fff0671d7d55fddaa114437b577e8a50fdcc7b828145d08646e378

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:01.954746Z digest=sha256:6eb6ffd17ad291e079968c18b56e483041d8307227a943c33cd2131409fcd241

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:02.004750Z digest=sha256:0a6bb38223ce4c1ee3e7410ca8f5ff323a29ba70128831d16eb0a1463b84ae9e

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:02.041230Z digest=sha256:f637e8ba5a19948e77be5b7e0e7e6da40e81a78920ec0662a75dc27074010bf8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:02.056077Z digest=sha256:6293811cb81176b5a569335922dbe77add11094bbc7234e35d648346171bd3eb

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:02.095172Z digest=sha256:d55f886726a11a7f29b295231f68116104b92a9e1fe26544d0372fb1faca28f7

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:02.134815Z digest=sha256:93c4f4f7ee3f4c827c52647a0a2ed050c8666a22d4afb5ee61313d76ba286ba5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:02.165256Z digest=sha256:4198b47e1a213ef04c649702e689384c61b1bc03cf73fed980982930ef50275f

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:e1f21f218d9a069c0e03282f5a9889f851b2a46784309b5713a1a15a15d748ba

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:02.224248Z digest=sha256:2f4fec17556d0a0530b23dc541a799056edb021113c3d60821f7501249267a05

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:02.257769Z digest=sha256:37224ae97f74fbacb730e7f87c81bc55a9a63a41abcce191bfe58d7cda692fad

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:02.274836Z digest=sha256:29577353d3e1496290011b6b622c5f4da286088d93ca3f16d13a599a6a3d62c5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:02.284738Z digest=sha256:266d4d3bc64d502c9dd91f59bdf465ed2861c7e5cf24de027d2abf64a2cf51b5

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:02.289055Z digest=sha256:8df3f186586cc8ff586f2538a972f62321213697cd2bc5b9cede512e8586d67b

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:a6080c9f2172be4a977d254fd1eda6b7833fe1a7df7488a6d577117f87e1bcc5

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:dd98d22f7989c0765f52300ac4a5a2aaa6d89e7abc17f3bbbc471694d490cb9f

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:02.313311Z digest=sha256:0ed341cf8e5f64012cea220ec69eb32fc5646a535a2573966f23fc49ed978249

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:02.320421Z digest=sha256:5829d017ef25288a4fb510237d3dd1dbe0c3040f31bfdb348d2e31c0059cb622

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:a16d0d95e11a371856e1c03ca02c2db0e718c7440c311b1d7c32830f71ad334f

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:a143132db3bf44607dd7ab60aedb3aabcac9e4a0d9d6d7d6e283dec464d17de8

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 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T22:46:02.335986Z digest=sha256:ed1bd5893499faebc490cc5158dba488cf425bdaeaa6128575e7370d94438896

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=sha256:6d2d671c6c9a81b1be58fef8cb924cff0e96a7d4ce7518f848baa1ea28d7830c

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

Resolution
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=sha256:29eceb645489caa4ef5949f8773491824d55e548076ec6dac74d0624a93e2092

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=sha256:90283bfd2677e2fea77e64c5ff7ece958ec7f880636de41e71676a2b7b8b2934

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=sha256:0365fcb7b7f93bbaeccd4b77333f373e5802f774ee6ca7eea468bc89805e30d4

Pith citing papers

No inbound Pith citation observations are available.