{"as_of":"2026-08-09T19:49:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:70f619fb43f108fef80a7957bac02815287a2f64c27675fb7f0afadadf93aa81","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":"2026-08-09T06:31:02.800959+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":"2026-08-08T00:49:13.593500Z","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":"2026-07-02T03:46:33.282729Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2501.18954","last_updated":"2025-01-31T08:27:31Z","snapshot_observed_at":"2026-07-06T20:28:52.880548Z","submitted_at":"2025-01-31T08:27:31Z","title":"LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.18954","snapshot_observed_at":"2026-08-07T14:25:42.436018Z","title":"Llmdet: Learning strong open-vocabulary object detectors under the supervision of large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.18986","last_updated":"2025-05-25T05:44:02Z","snapshot_observed_at":"2026-08-09T06:33:06.067343Z","submitted_at":"2025-05-25T05:44:02Z","title":"VL-SAM-V2: Open-World Object Detection with General and Specific Query Fusion","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-07T14:25:42.436018Z"},"links":{"cited_paper":"/paper/2501.18954","citing_paper":"/paper/2505.18986"},"observation_digest":"sha256:303e82caac36623f430027ae010dd7f7f033eba4a1eec24d3d776e37e531a1bd","observation_id":"f63d6b4c-fd85-4bc0-ad99-27228d92063a","resolution":{"observed_at":"2026-08-07T14:25:42.436018Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18954","last_updated":"2025-01-31T08:27:31Z","snapshot_observed_at":"2026-07-06T20:28:52.880548Z","submitted_at":"2025-01-31T08:27:31Z","title":"LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.18954","snapshot_observed_at":"2026-08-05T17:33:35.846198Z","title":"Llmdet: Learning strong open-vocabulary object detectors under the supervision of large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2508.16158","last_updated":"2025-08-22T07:28:34Z","snapshot_observed_at":"2026-08-05T17:33:34.481395Z","submitted_at":"2025-08-22T07:28:34Z","title":"RAGSR: Regional Attention Guided Diffusion for Image Super-Resolution","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-05T17:33:35.846198Z"},"links":{"cited_paper":"/paper/2501.18954","citing_paper":"/paper/2508.16158"},"observation_digest":"sha256:aa0b16c4787a625c976cab29c75f2b801da6dca87350c58f22543ba6bbd8cd2b","observation_id":"b9aa25c1-7b01-4448-b0df-06e09001edc1","resolution":{"observed_at":"2026-08-05T17:33:35.846198Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18954","last_updated":"2025-01-31T08:27:31Z","snapshot_observed_at":"2026-07-06T20:28:52.880548Z","submitted_at":"2025-01-31T08:27:31Z","title":"LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.18954","snapshot_observed_at":"2026-08-05T12:27:04.920344Z","title":"Llmdet: Learning strong open-vocabulary object detectors under the supervision of large language models","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2509.01656","last_updated":"2025-09-01T17:57:49Z","snapshot_observed_at":"2026-08-09T16:17:17.533156Z","submitted_at":"2025-09-01T17:57:49Z","title":"Reinforced Visual Perception with Tools","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-05T12:27:04.920344Z"},"links":{"cited_paper":"/paper/2501.18954","citing_paper":"/paper/2509.01656"},"observation_digest":"sha256:b9240129b0135f6e7e1feabc21e29ce761d20cf44f193d46d9db81049625050b","observation_id":"03db883a-530e-44f5-af38-8974a28cb22c","resolution":{"observed_at":"2026-08-05T12:27:04.920344Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18954","last_updated":"2025-01-31T08:27:31Z","snapshot_observed_at":"2026-07-06T20:28:52.880548Z","submitted_at":"2025-01-31T08:27:31Z","title":"LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models","version":1},"cited_work":{"arxiv_id":"2501.18954","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2501.18954","snapshot_observed_at":"2026-07-02T03:46:33.282729Z","title":"Llmdet: Learning strong open-vocabulary object detectors under the supervision of large language models, 2025","venue":null,"work_id":"e70a6913-a6eb-431d-8c61-7eb8f6169963","year":2025},"citing_paper":{"arxiv_id":"2606.03784","last_updated":"2026-06-03T08:29:49Z","snapshot_observed_at":"2026-08-09T16:27:10.918832Z","submitted_at":"2026-06-02T15:37:59Z","title":"Revisiting Embodied Chain-of-Thought for Generalizable Robot Manipulation","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-06-28T09:40:04.685274Z"},"links":{"cited_paper":"/paper/2501.18954","citing_paper":"/paper/2606.03784"},"observation_digest":"sha256:51c912ddf5321331c23f0b55b5ab12c6cfb5dddcd57845aafd6b0147944d16be","observation_id":"925712cc-f512-4634-8d6b-39ea59245400","resolution":{"observed_at":"2026-07-02T03:46:33.284362Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18954","last_updated":"2025-01-31T08:27:31Z","snapshot_observed_at":"2026-07-06T20:28:52.880548Z","submitted_at":"2025-01-31T08:27:31Z","title":"LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.18954","snapshot_observed_at":"2026-08-01T14:44:05.247859Z","title":"doi:10.48550/arXiv.2501.18954 , abstract =","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.18673","last_updated":"2026-08-03T23:44:52Z","snapshot_observed_at":"2026-08-07T23:09:34.423169Z","submitted_at":"2026-07-21T03:43:50Z","title":"MissingBench-Verified: Probing Vision-Language Models' Inability to Detect Missing Object Parts","version":2},"reference_index":37,"source":"arxiv_source","source_observed_at":"2026-08-01T14:44:05.247859Z"},"links":{"cited_paper":"/paper/2501.18954","citing_paper":"/paper/2607.18673"},"observation_digest":"sha256:b7b9a169116655a26ab3d647af92810b85eb1029649a9dba996affb3b19a34e6","observation_id":"28f99f0d-5609-453e-9ea9-da3eb702dda7","resolution":{"observed_at":"2026-08-01T14:44:05.247859Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2501.18954","last_updated":"2025-01-31T08:27:31Z","snapshot_observed_at":"2026-07-06T20:28:52.880548Z","submitted_at":"2025-01-31T08:27:31Z","title":"LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2501.18954","snapshot_observed_at":"2026-08-08T00:49:13.593500Z","title":"Llmdet: Learning strong open-vocabulary object detectors under the supervision of large language models,","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.04042","last_updated":"2026-08-04T05:07:45Z","snapshot_observed_at":"2026-08-09T04:41:26.966318Z","submitted_at":"2026-08-04T05:07:45Z","title":"Kitchen Robotic Manipulation utilizing Foundation Models","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-08T00:49:13.593500Z"},"links":{"cited_paper":"/paper/2501.18954","citing_paper":"/paper/2608.04042"},"observation_digest":"sha256:5761e1b36bfcaf2246faf4a5f751eddaac8c7e8985bb203232358e45d72e423e","observation_id":"2170e321-15aa-4d70-867c-ce1a46fcb057","resolution":{"observed_at":"2026-08-08T00:49:13.593500Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2501.18954/citation-record","integrity":"/paper/2501.18954/integrity","json":"/paper/2501.18954/citation-record.json","paper":"/paper/2501.18954"},"outbound":[],"paper":{"arxiv_id":"2501.18954","last_updated":"2025-01-31T08:27:31Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T20:28:52.880548Z","submitted_at":"2025-01-31T08:27:31Z","title":"LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2501.18954."}