Paper Citation Record · LEDGER

Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2411.09219.

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

pith.paper-citation-record.v1
2411.09219 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-13T19:56:11.865786Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T11:54:09.147710Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cba7ff5d-3d7b-4b5e-afee-f79262bb3edd · inbound

RADSeg: Unleashing Parameter and Compute Efficient Zero-Shot Open-Vocabulary Segmentation Using Agglomerative Models cites this paper.

RADSeg: Unleashing Parameter and Compute Efficient Zero-Shot Open-Vocabulary Segmentation Using Agglomerative Models Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-17T05:24:04.703470Z

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 7612ddd9-d3f9-474a-a908-8eb66604cd2f · inbound

Monocular Open Vocabulary Occupancy Prediction for Indoor Scenes cites this paper.

Monocular Open Vocabulary Occupancy Prediction for Indoor Scenes Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-21T11:54:09.150460Z

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 1bcfea73-3539-4434-9e66-073024f21e02 · inbound

Low-Frequency Stochastic Gravitational-Wave Background in Gaia DR3 catalog cites this paper.

Low-Frequency Stochastic Gravitational-Wave Background in Gaia DR3 catalog Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation

Reference 39

Resolution: unresolved; no resolver link, observed 2026-07-13T19:56:11.865786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b37898c-2545-4031-80c5-4018293fea6f · inbound

Cross-Attentive Multiview Fusion of Vision-Language Embeddings cites this paper.

Cross-Attentive Multiview Fusion of Vision-Language Embeddings Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation

Reference 31

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T11:26:01.917938Z

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 7aa5f4ca-726f-4dd1-ac9e-b4c27c1b051d · inbound

RADIO-ViPE: Online Tightly Coupled Multi-Modal Fusion for Open-Vocabulary Semantic SLAM in Dynamic Environments cites this paper.

RADIO-ViPE: Online Tightly Coupled Multi-Modal Fusion for Open-Vocabulary Semantic SLAM in Dynamic Environments Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:36:28.306329Z

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 ae34fb32-47bf-4075-a8a5-9f3310f67f2e · inbound

FreeOcc: Training-Free Embodied Open-Vocabulary Occupancy Prediction cites this paper.

FreeOcc: Training-Free Embodied Open-Vocabulary Occupancy Prediction Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:31:29.018285Z

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 72a6353b-1662-4632-a783-749a5b059df7 · inbound

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation cites this paper.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T13:53:19.872199Z

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 94928779-5378-415d-9418-9d115843646b · inbound

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation cites this paper.

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation

Reference 80

Resolution: metadata mismatch; arxiv_id, observed 2026-05-21T07:44:02.841250Z

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.