Paper Citation Record · LEDGER

Semantic Instance Segmentation with a Discriminative Loss Function

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:1708.02551.

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

pith.paper-citation-record.v1
1708.02551 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:41:08.612768Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

24
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 2fff6eee-28b9-44b6-89bc-604962ff092d · inbound

gen2seg: Generative Models Enable Generalizable Instance Segmentation cites this paper.

gen2seg: Generative Models Enable Generalizable Instance Segmentation Semantic Instance Segmentation with a Discriminative Loss Function

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T14:31:40.455449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 82c802e7-9622-4842-b82a-36072dfc7e1d · inbound

Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning cites this paper.

Open-Set LiDAR Panoptic Segmentation Guided by Uncertainty-Aware Learning Semantic Instance Segmentation with a Discriminative Loss Function

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T00:41:08.612768Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1c76758-fbe5-4438-9adc-73293337a6be · inbound

GVCCS: A Dataset for Contrail Identification and Tracking on Visible Whole Sky Camera Sequences cites this paper.

GVCCS: A Dataset for Contrail Identification and Tracking on Visible Whole Sky Camera Sequences Semantic Instance Segmentation with a Discriminative Loss Function

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T14:37:32.071995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0a6fe54-2524-4d25-b574-996860b33793 · inbound

MapRF: Weakly Supervised Online HD Map Construction via NeRF-Guided Self-Training cites this paper.

MapRF: Weakly Supervised Online HD Map Construction via NeRF-Guided Self-Training Semantic Instance Segmentation with a Discriminative Loss Function

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-17T06:49:11.509078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 327e26c3-81f1-4bc0-8ef2-9132f67cfad0 · inbound

Evaluation of Embedding-Based and Generative Methods for LLM-Driven Document Classification: Opportunities and Challenges cites this paper.

Evaluation of Embedding-Based and Generative Methods for LLM-Driven Document Classification: Opportunities and Challenges Semantic Instance Segmentation with a Discriminative Loss Function

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-13T10:23:38.252227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fa213d5-884f-4513-8702-6cf69c026dee · inbound

Neural Collapse by Design: Learning Class Prototypes on the Hypersphere cites this paper.

Neural Collapse by Design: Learning Class Prototypes on the Hypersphere Semantic Instance Segmentation with a Discriminative Loss Function

Reference 69

Resolution: metadata mismatch; local_arxiv, observed 2026-05-21T07:34:48.042400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d108c9d6-40c9-456a-817a-2313b08b3b91 · inbound

Neural Collapse by Design: Learning Class Prototypes on the Hypersphere cites this paper.

Neural Collapse by Design: Learning Class Prototypes on the Hypersphere Semantic Instance Segmentation with a Discriminative Loss Function

Reference 69

Resolution: metadata mismatch; local_arxiv, observed 2026-05-22T09:51:21.829449Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.