Paper Citation Record · LEDGER

SynSeg: Feature Synergy for Multi-Category Contrastive Learning in End-to-End Open-Vocabulary Semantic Segmentation

As of 8 August 2026, this Paper Citation Record lists 7 of 7 outbound references and 0 inbound Pith citation observations for arXiv:2508.06115.

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

pith.paper-citation-record.v1
2508.06115 v3

Coverage vector

measured 7 of 7 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T23:01:00.152995Z

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

7 of 7 outbound references displayed

verified exact0
verified fuzzy3
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 36bc6288-ca71-42f4-aff0-b18bb954c936 · outbound

This paper cites In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 989–998.

SynSeg: Feature Synergy for Multi-Category Contrastive Learning in End-to-End Open-Vocabulary Semantic Segmentation In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 989–998

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:01:00.332156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation afc4ab36-8eee-4256-8545-e5aff4ebe507 · outbound

This paper cites A Brief Survey and an Application of Semantic Image Segmentation for Autonomous Driving.

SynSeg: Feature Synergy for Multi-Category Contrastive Learning in End-to-End Open-Vocabulary Semantic Segmentation A Brief Survey and an Application of Semantic Image Segmentation for Autonomous Driving

Reference 7

Resolution: metadata mismatch; local_arxiv, observed 2026-08-05T23:01:00.210069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4226ce3c-a617-4c06-b7a4-cdb0e98e0a0f · outbound

This paper cites Exploring Simple Open-Vocabulary Semantic Segmentation.

SynSeg: Feature Synergy for Multi-Category Contrastive Learning in End-to-End Open-Vocabulary Semantic Segmentation Exploring Simple Open-Vocabulary Semantic Segmentation

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-05T23:01:00.108557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56413fac-9e7e-4d3f-84a1-11cbf214d70e · outbound

This paper cites Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts.

SynSeg: Feature Synergy for Multi-Category Contrastive Learning in End-to-End Open-Vocabulary Semantic Segmentation Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-05T23:01:00.098365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ebbd834-0513-4f36-a63e-7abfcabe6308 · outbound

This paper cites Training-Free Semantic Segmentation via LLM-Supervision.

SynSeg: Feature Synergy for Multi-Category Contrastive Learning in End-to-End Open-Vocabulary Semantic Segmentation Training-Free Semantic Segmentation via LLM-Supervision

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T23:01:00.114920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae18c143-6a61-4d1a-bc75-6bc5dfc23e38 · outbound

This paper cites In Ad- vances in Neural Information Processing Systems.

SynSeg: Feature Synergy for Multi-Category Contrastive Learning in End-to-End Open-Vocabulary Semantic Segmentation In Ad- vances in Neural Information Processing Systems

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:01:00.304224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4400cd2b-47b6-49f5-a118-ee58770d6c8a · outbound

This paper cites In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 26794–26803.

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T23:01:00.348278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

No inbound Pith citation observations are available.