Paper Citation Record · LEDGER

Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2312.05391.

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

pith.paper-citation-record.v1
2312.05391 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T17:30:21.227331Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

22
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation fb31278c-5526-4254-bb67-e5937847cf32 · inbound

HEM: a margin-based loss for visual categorisation tasks cites this paper.

HEM: a margin-based loss for visual categorisation tasks Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T17:30:21.227331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 18f2481c-cc7b-4f8c-8224-02db59aaef1c · inbound

Complex Wavelet Mutual Information Loss: A Multi-Scale Loss Function for Semantic Segmentation cites this paper.

Complex Wavelet Mutual Information Loss: A Multi-Scale Loss Function for Semantic Segmentation Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T18:36:05.622374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3680b88-b107-4b94-8861-e939e7f9697c · inbound

A drone-based framework for coral habitat mapping via weakly supervised segmentation cites this paper.

A drone-based framework for coral habitat mapping via weakly supervised segmentation Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-25T08:15:34.116070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7f03fe4e-0931-4f00-ac1f-ee05c5a8c1f6 · inbound

MonoUNet: A Robust Tiny Neural Network for Automated Knee Cartilage Segmentation on Point-of-Care Ultrasound Devices cites this paper.

MonoUNet: A Robust Tiny Neural Network for Automated Knee Cartilage Segmentation on Point-of-Care Ultrasound Devices Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-10T18:30:42.802161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c097ebd2-8b8e-45f9-a3a7-c1fe3c4df7bb · inbound

MonoUNet: A Robust Tiny Neural Network for Automated Knee Cartilage Segmentation on Point-of-Care Ultrasound Devices cites this paper.

MonoUNet: A Robust Tiny Neural Network for Automated Knee Cartilage Segmentation on Point-of-Care Ultrasound Devices Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-05-12T01:51:13.604303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation f7b55e62-6f2d-47e2-830b-d41d08dbd4fe · inbound

An Uncertainty-Aware Loss Function Incorporating Fuzzy Logic: Application to MRI Brain Image Segmentation cites this paper.

An Uncertainty-Aware Loss Function Incorporating Fuzzy Logic: Application to MRI Brain Image Segmentation Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-11T10:41:02.973443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 38ca2b3f-1278-4a1b-8c87-ad2c44620c6a · inbound

MambaLiteUNet: Cross-Gated Adaptive Feature Fusion for Robust Skin Lesion Segmentation cites this paper.

MambaLiteUNet: Cross-Gated Adaptive Feature Fusion for Robust Skin Lesion Segmentation Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-10T00:24:46.661718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a48096c4-5594-4b8f-83d0-cd6448382c30 · inbound

Sapiens2 cites this paper.

Sapiens2 Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:21:07.036885Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 13d8c976-0aa7-42d7-a2c0-50cc3d8d31b5 · inbound

AG-TAL: Anatomically-Guided Topology-Aware Loss for Multiclass Segmentation of the Circle of Willis Using Large-Scale Multi-Center Datasets cites this paper.

AG-TAL: Anatomically-Guided Topology-Aware Loss for Multiclass Segmentation of the Circle of Willis Using Large-Scale Multi-Center Datasets Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:01:29.757471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a042b842-c677-4770-9dbe-1a5e0805b0bc · inbound

Mapping Tomato Cropping Systems in California Using AlphaEarth Geospatial Embeddings and Deep Learning Analysis cites this paper.

Mapping Tomato Cropping Systems in California Using AlphaEarth Geospatial Embeddings and Deep Learning Analysis Loss Functions in the Era of Semantic Segmentation: A Survey and Outlook

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-22T07:41:14.716366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.