Paper Citation Record · LEDGER

Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.02487.

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

pith.paper-citation-record.v1
2308.02487 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T15:53:31.853023Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T07:44:02.831546Z

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 a47330a2-02e8-4273-bbc1-d201b7e86500 · inbound

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey cites this paper.

Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

Reference 204

Resolution: verified exact; arxiv_id, observed 2026-05-13T11:32:36.980519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation dedbb98a-65d2-424e-b811-32470ae6b714 · inbound

CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation cites this paper.

CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-12T15:53:31.853023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89590fd0-1521-403e-8e7c-1d48aa671550 · inbound

Prompt-Guided Mask Proposal for Two-Stage Open-Vocabulary Segmentation cites this paper.

Prompt-Guided Mask Proposal for Two-Stage Open-Vocabulary Segmentation Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-11T16:13:21.887426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b30d5edf-523b-4beb-99bc-3da5699f1760 · inbound

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning cites this paper.

OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T14:54:59.953787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 861de07b-f7f9-41e7-9511-f1391686b597 · inbound

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

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-20T13:53:19.829976Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2b8f3edd-e2d7-4fb8-b714-cda689e3fcd4 · inbound

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

SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-21T07:44:02.833032Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.