{"as_of":"2026-08-24T02:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d934bef63314b4a988813bb30f2239b6e0d368d03118c993f1cd69052294e825","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-23T06:30:58.430688+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-12T15:53:31.853023Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-05-21T07:44:02.831546Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2308.02487","last_updated":"2023-11-14T19:10:49Z","snapshot_observed_at":"2026-08-16T15:10:43.081176Z","submitted_at":"2023-08-04T17:59:01Z","title":"Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP","version":2},"cited_work":{"arxiv_id":"2308.02487","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.02487","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip","venue":null,"work_id":"b7ff15df-cc67-40b5-892f-150267fee0a8","year":2023},"citing_paper":{"arxiv_id":"2403.14608","last_updated":"2024-09-16T02:54:50Z","snapshot_observed_at":"2026-08-04T09:07:42.158421Z","submitted_at":"2024-03-21T17:55:50Z","title":"Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey","version":7},"reference_index":204,"source":"pdf_text","source_observed_at":"2026-05-13T11:32:36.738536Z"},"links":{"cited_paper":"/paper/2308.02487","citing_paper":"/paper/2403.14608"},"observation_digest":"sha256:b98c326f3bddf4fcb349a5fe3885ba45aaa8d44393b9e50e3bd40942984dd5bc","observation_id":"a47330a2-02e8-4273-bbc1-d201b7e86500","resolution":{"observed_at":"2026-05-13T11:32:36.980519Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.02487","last_updated":"2023-11-14T19:10:49Z","snapshot_observed_at":"2026-08-16T15:10:43.081176Z","submitted_at":"2023-08-04T17:59:01Z","title":"Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.02487","snapshot_observed_at":"2026-08-12T15:53:31.853023Z","title":"Convolutions die hard: Open-vocabulary seg- mentation with single frozen convolutional clip","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2411.13836","last_updated":"2024-11-21T04:54:30Z","snapshot_observed_at":"2026-08-18T18:37:49.768772Z","submitted_at":"2024-11-21T04:54:30Z","title":"CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-12T15:53:31.853023Z"},"links":{"cited_paper":"/paper/2308.02487","citing_paper":"/paper/2411.13836"},"observation_digest":"sha256:0ec2b8c6d1fd132d74369c3d0d5aa0ac631ee49e2e1395d1a6660156e307776c","observation_id":"dedbb98a-65d2-424e-b811-32470ae6b714","resolution":{"observed_at":"2026-08-12T15:53:31.853023Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.02487","last_updated":"2023-11-14T19:10:49Z","snapshot_observed_at":"2026-08-16T15:10:43.081176Z","submitted_at":"2023-08-04T17:59:01Z","title":"Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.02487","snapshot_observed_at":"2026-08-11T16:13:21.887426Z","title":"Convolutions die hard: Open-vocabulary seg- mentation with single frozen convolutional clip","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2412.10292","last_updated":"2024-12-13T17:22:50Z","snapshot_observed_at":"2026-08-17T13:37:34.693665Z","submitted_at":"2024-12-13T17:22:50Z","title":"Prompt-Guided Mask Proposal for Two-Stage Open-Vocabulary Segmentation","version":1},"reference_index":66,"source":"pdf_text","source_observed_at":"2026-08-11T16:13:21.887426Z"},"links":{"cited_paper":"/paper/2308.02487","citing_paper":"/paper/2412.10292"},"observation_digest":"sha256:b5088a057aef6eeaf1664bd644cfa81db9e51981a34f90b7b563d574152a78f2","observation_id":"89590fd0-1521-403e-8e7c-1d48aa671550","resolution":{"observed_at":"2026-08-11T16:13:21.887426Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.02487","last_updated":"2023-11-14T19:10:49Z","snapshot_observed_at":"2026-08-16T15:10:43.081176Z","submitted_at":"2023-08-04T17:59:01Z","title":"Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.02487","snapshot_observed_at":"2026-08-07T14:54:59.953787Z","title":"Convolutions die hard: Open- vocabulary segmentation with single frozen convolutional clip","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.16974","last_updated":"2025-08-01T08:53:45Z","snapshot_observed_at":"2026-08-22T02:13:26.454742Z","submitted_at":"2025-05-22T17:51:48Z","title":"OpenSeg-R: Improving Open-Vocabulary Segmentation via Step-by-Step Visual Reasoning","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-07T14:54:59.953787Z"},"links":{"cited_paper":"/paper/2308.02487","citing_paper":"/paper/2505.16974"},"observation_digest":"sha256:7f1b7d3e3ed1a030e706687d5ec1bed14eeffa238efd24aebe118e6521e29ee5","observation_id":"b30d5edf-523b-4beb-99bc-3da5699f1760","resolution":{"observed_at":"2026-08-07T14:54:59.953787Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2308.02487","last_updated":"2023-11-14T19:10:49Z","snapshot_observed_at":"2026-08-16T15:10:43.081176Z","submitted_at":"2023-08-04T17:59:01Z","title":"Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP","version":2},"cited_work":{"arxiv_id":"2308.02487","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.02487","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip","venue":null,"work_id":"b7ff15df-cc67-40b5-892f-150267fee0a8","year":2023},"citing_paper":{"arxiv_id":"2605.17630","last_updated":"2026-05-19T18:36:14Z","snapshot_observed_at":"2026-08-14T23:43:56.106415Z","submitted_at":"2026-05-17T19:51:32Z","title":"SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-20T13:51:35.769341Z"},"links":{"cited_paper":"/paper/2308.02487","citing_paper":"/paper/2605.17630"},"observation_digest":"sha256:f9d26f9ab6d785ce404eab8ef29d568a65dc1b99fd04ca9746eea73ff55a417b","observation_id":"861de07b-f7f9-41e7-9511-f1391686b597","resolution":{"observed_at":"2026-05-20T13:53:19.829976Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.02487","last_updated":"2023-11-14T19:10:49Z","snapshot_observed_at":"2026-08-16T15:10:43.081176Z","submitted_at":"2023-08-04T17:59:01Z","title":"Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP","version":2},"cited_work":{"arxiv_id":"2308.02487","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2308.02487","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Convolutions die hard: Open-vocabulary segmentation with single frozen convolutional clip","venue":null,"work_id":"b7ff15df-cc67-40b5-892f-150267fee0a8","year":2023},"citing_paper":{"arxiv_id":"2605.17630","last_updated":"2026-05-19T18:36:14Z","snapshot_observed_at":"2026-08-14T23:43:56.106415Z","submitted_at":"2026-05-17T19:51:32Z","title":"SegRAG: Training-Free Retrieval-Augmented Semantic Segmentation","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-05-21T07:43:28.627414Z"},"links":{"cited_paper":"/paper/2308.02487","citing_paper":"/paper/2605.17630"},"observation_digest":"sha256:e312182957bf1baa84415a71629a9566e692bf7c5a9259cc2d2711e0e9ed64af","observation_id":"2b8f3edd-e2d7-4fb8-b714-cda689e3fcd4","resolution":{"observed_at":"2026-05-21T07:44:02.833032Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2308.02487/citation-record","integrity":"/paper/2308.02487/integrity","json":"/paper/2308.02487/citation-record.json","paper":"/paper/2308.02487"},"outbound":[],"paper":{"arxiv_id":"2308.02487","last_updated":"2023-11-14T19:10:49Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T15:10:43.081176Z","submitted_at":"2023-08-04T17:59:01Z","title":"Convolutions Die Hard: Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-23T06:30:58.430688+00:00","source":"crossref"},{"observed_at":"2026-08-23T06:30:53.778098+00:00","source":"retraction_watch"}],"thesis":"As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.02487."}