Paper Citation Record · LEDGER

Distance Map Loss Penalty Term for Semantic Segmentation

As of 18 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 4 inbound Pith citation observations for arXiv:1908.03679.

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

pith.paper-citation-record.v1
1908.03679 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:09:28.682926Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:28:35.416971Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-10T11:00:03.879779Z

Reference resolution

10 of 10 outbound references displayed

verified exact1
verified fuzzy4
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e85598a3-3a97-462b-9590-6eff798c5fe0 · outbound

This paper cites Tensorflow: A system for large-scale machine learning.

Distance Map Loss Penalty Term for Semantic Segmentation Tensorflow: A system for large-scale machine learning

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:09:28.847317Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation af53923a-0230-4ab6-8903-98769cb4601c · outbound

This paper cites Deep residual learning for image recognition.

Distance Map Loss Penalty Term for Semantic Segmentation Deep residual learning for image recognition

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:28.643752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9396162-efa8-45a8-a815-7121db2f03f4 · outbound

This paper cites Boundary loss for highly unbalanced segmentation.

Distance Map Loss Penalty Term for Semantic Segmentation Boundary loss for highly unbalanced segmentation

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-14T14:09:28.756861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6eb31b32-1a46-4f2d-a962-c1e966bf73c0 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Distance Map Loss Penalty Term for Semantic Segmentation Adam: A Method for Stochastic Optimization

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:28.653496Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5a47677-ec87-474a-af78-cfead2f7159b · outbound

This paper cites Focal loss for dense object detection.

Distance Map Loss Penalty Term for Semantic Segmentation Focal loss for dense object detection

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:28.659625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ec04810-d914-4e8f-9565-91b9fbb07216 · outbound

This paper cites The mathworks.

Distance Map Loss Penalty Term for Semantic Segmentation The mathworks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:09:28.813406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fadb6fb8-3106-4faf-9ece-166d7071d832 · outbound

This paper cites V-net: Fully convolutional neural networks for volumetric medical image segmentation.

Distance Map Loss Penalty Term for Semantic Segmentation V-net: Fully convolutional neural networks for volumetric medical image segmentation

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:09:28.798591Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 5fadd366-cc07-4de6-b632-97d350b667ca · outbound

This paper cites Use of 2d u-net convolutional neural networks for automated cartilage and meniscus segmentation of knee mr imaging data to determine relaxometry and morphometry.

Distance Map Loss Penalty Term for Semantic Segmentation Use of 2d u-net convolutional neural networks for automated cartilage and meniscus segmentation of knee mr imaging data to determine relaxometry and morphometry

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T14:09:28.783551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1471ca24-3213-47a6-bb9d-acaa149bda20 · outbound

This paper cites Regularizing Neural Networks by Penalizing Confident Output Distributions.

Distance Map Loss Penalty Term for Semantic Segmentation Regularizing Neural Networks by Penalizing Confident Output Distributions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:28.677978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d4b08e6-0b0a-4698-bb2d-dca9436824d9 · outbound

This paper cites U-net: Convolutional networks for biomedical image segmentation.

Distance Map Loss Penalty Term for Semantic Segmentation U-net: Convolutional networks for biomedical image segmentation

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-14T14:09:28.682926Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation e79308cd-b293-4ef1-a847-af99e0e76a4f · inbound

Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network cites this paper.

Learning Pore-scale Multi-phase Flow from Experimental Data with Graph Neural Network Distance Map Loss Penalty Term for Semantic Segmentation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T15:28:35.416971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77c8debb-a057-4b23-9e43-0e615b847aa2 · inbound

A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images cites this paper.

A Novel Shape Guided Transformer Network for Instance Segmentation in Remote Sensing Images Distance Map Loss Penalty Term for Semantic Segmentation

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-10T22:56:50.755260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4d6396d-c62a-45b3-abf8-01013e0cdb23 · inbound

Critical edge sets in vertex-critical graphs cites this paper.

Critical edge sets in vertex-critical graphs Distance Map Loss Penalty Term for Semantic Segmentation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T21:28:12.663955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc592340-8cdd-4d43-91d8-d2733f4b69e8 · inbound

From Boundaries to Semantics: Prompt-Guided Multi-Task Learning for Petrographic Thin-section Segmentation cites this paper.

From Boundaries to Semantics: Prompt-Guided Multi-Task Learning for Petrographic Thin-section Segmentation Distance Map Loss Penalty Term for Semantic Segmentation

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:00:03.881484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.