{"as_of":"2026-08-09T07:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:c80eddadc00dc87a3c38c644c7cb0a781f09fd2886e1aabf2c3cfd8fd78a1706","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":7,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":7,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":7,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":7,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T14:27:13.729538Z","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":"2026-07-04T15:09:55.236424Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2503.13881","last_updated":"2025-03-18T04:23:09Z","snapshot_observed_at":"2026-08-07T16:56:00.215424Z","submitted_at":"2025-03-18T04:23:09Z","title":"MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.13881","snapshot_observed_at":"2026-08-07T14:27:13.729538Z","title":"Mmr: A large- scale benchmark dataset for multi-target and multi-granularity reasoning segmentation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2505.18816","last_updated":"2025-05-24T18:23:14Z","snapshot_observed_at":"2026-08-07T21:26:48.765722Z","submitted_at":"2025-05-24T18:23:14Z","title":"Reasoning Segmentation for Images and Videos: A Survey","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T14:27:13.729538Z"},"links":{"cited_paper":"/paper/2503.13881","citing_paper":"/paper/2505.18816"},"observation_digest":"sha256:6ed16ef44aecf414552e9540dcdcb192ef258fe39f2226adcc91d2321ba497e5","observation_id":"d3d0aa40-7f13-4279-b0aa-637e14b53d26","resolution":{"observed_at":"2026-08-07T14:27:13.729538Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.13881","last_updated":"2025-03-18T04:23:09Z","snapshot_observed_at":"2026-08-07T16:56:00.215424Z","submitted_at":"2025-03-18T04:23:09Z","title":"MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.13881","snapshot_observed_at":"2026-08-07T01:05:19.692369Z","title":"Mmr: A large-scale benchmark dataset for multi-target and multi-granularity reasoning segmentation.arXiv preprint arXiv:2503.13881, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.12009","last_updated":"2026-07-01T05:17:36Z","snapshot_observed_at":"2026-08-07T00:55:59.889392Z","submitted_at":"2025-06-13T17:57:18Z","title":"Affogato: Open-Vocabulary Affordance Grounding with Automated Data Generation at Scale","version":2},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-07T01:05:19.692369Z"},"links":{"cited_paper":"/paper/2503.13881","citing_paper":"/paper/2506.12009"},"observation_digest":"sha256:9cce10d91529a632469e77c5252ecefa37efce4a4014b3cd4d9e825f8e70977d","observation_id":"388063e6-861c-47b8-b380-3469c4290231","resolution":{"observed_at":"2026-08-07T01:05:19.692369Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.13881","last_updated":"2025-03-18T04:23:09Z","snapshot_observed_at":"2026-08-07T16:56:00.215424Z","submitted_at":"2025-03-18T04:23:09Z","title":"MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.13881","snapshot_observed_at":"2026-08-06T16:43:50.099882Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.12883","last_updated":"2025-08-13T05:27:53Z","snapshot_observed_at":"2026-08-06T16:33:30.327495Z","submitted_at":"2025-07-17T08:09:31Z","title":"HRSeg: High-Resolution Visual Perception and Enhancement for Reasoning Segmentation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T16:43:50.099882Z"},"links":{"cited_paper":"/paper/2503.13881","citing_paper":"/paper/2507.12883"},"observation_digest":"sha256:7add66b613c70d14f01d606ac197cd400e83e96d5e1f72d396f8073299d7b5db","observation_id":"63fa77bf-0abc-490d-96ab-1cf1ac32b99b","resolution":{"observed_at":"2026-08-06T16:43:50.099882Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.13881","last_updated":"2025-03-18T04:23:09Z","snapshot_observed_at":"2026-08-07T16:56:00.215424Z","submitted_at":"2025-03-18T04:23:09Z","title":"MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2503.13881","snapshot_observed_at":"2026-08-03T22:08:34.423748Z","title":"Mmr: A large-scale benchmark dataset for multi-target and multi-granularity reasoning segmentation","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2511.12110","last_updated":"2026-07-01T13:10:45Z","snapshot_observed_at":"2026-08-09T07:18:23.957455Z","submitted_at":"2025-11-15T08:59:21Z","title":"MediRound: Multi-Round Entity-Level Reasoning Segmentation in Medical Images","version":5},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-03T22:08:34.423748Z"},"links":{"cited_paper":"/paper/2503.13881","citing_paper":"/paper/2511.12110"},"observation_digest":"sha256:b623ecfb433b74198c2045b770278a52a8daa6be9d46d2c37864118e223aa3d3","observation_id":"451c6385-72f3-4e0b-86b0-fdc3ab35a67e","resolution":{"observed_at":"2026-08-03T22:08:34.423748Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2503.13881","last_updated":"2025-03-18T04:23:09Z","snapshot_observed_at":"2026-08-07T16:56:00.215424Z","submitted_at":"2025-03-18T04:23:09Z","title":"MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation","version":1},"cited_work":{"arxiv_id":"2503.13881","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.13881","snapshot_observed_at":"2026-07-04T15:09:55.236424Z","title":"Mmr: A large-scale benchmark dataset for multi-target and multi-granularity reasoning segmentation","venue":null,"work_id":"d6407e2b-ee52-448d-8a91-74706ac8b995","year":2025},"citing_paper":{"arxiv_id":"2605.07141","last_updated":"2026-05-08T02:20:40Z","snapshot_observed_at":"2026-07-06T23:19:30.387067Z","submitted_at":"2026-05-08T02:20:40Z","title":"Qwen3-VL-Seg: Unlocking Open-World Referring Segmentation with Vision-Language Grounding","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-05-11T02:35:57.843351Z"},"links":{"cited_paper":"/paper/2503.13881","citing_paper":"/paper/2605.07141"},"observation_digest":"sha256:b24a9c14112c09068730f6025a8ea943c3068afe93a3462cde5d6918a9024e8c","observation_id":"5ec6e06c-2daf-4778-b32f-34103b466965","resolution":{"observed_at":"2026-05-11T03:10:54.043620Z","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":"2503.13881","last_updated":"2025-03-18T04:23:09Z","snapshot_observed_at":"2026-08-07T16:56:00.215424Z","submitted_at":"2025-03-18T04:23:09Z","title":"MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation","version":1},"cited_work":{"arxiv_id":"2503.13881","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.13881","snapshot_observed_at":"2026-07-04T15:09:55.236424Z","title":"Mmr: A large-scale benchmark dataset for multi-target and multi-granularity reasoning segmentation","venue":null,"work_id":"d6407e2b-ee52-448d-8a91-74706ac8b995","year":2025},"citing_paper":{"arxiv_id":"2605.19410","last_updated":"2026-05-19T06:04:23Z","snapshot_observed_at":"2026-07-06T23:30:06.876413Z","submitted_at":"2026-05-19T06:04:23Z","title":"Vision Harnessing Agent for Open Ad-hoc Segmentation","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-05-20T05:52:40.429412Z"},"links":{"cited_paper":"/paper/2503.13881","citing_paper":"/paper/2605.19410"},"observation_digest":"sha256:4eb42bd2ed9334ed35226595ffc7241ad6c533ce431ef5878e3882dca8a0cca0","observation_id":"cd3fd53f-9b5d-4722-986a-af642c055b7b","resolution":{"observed_at":"2026-05-20T05:53:04.533186Z","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":"2503.13881","last_updated":"2025-03-18T04:23:09Z","snapshot_observed_at":"2026-08-07T16:56:00.215424Z","submitted_at":"2025-03-18T04:23:09Z","title":"MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation","version":1},"cited_work":{"arxiv_id":"2503.13881","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2503.13881","snapshot_observed_at":"2026-07-04T15:09:55.236424Z","title":"Mmr: A large-scale benchmark dataset for multi-target and multi-granularity reasoning segmentation","venue":null,"work_id":"d6407e2b-ee52-448d-8a91-74706ac8b995","year":2025},"citing_paper":{"arxiv_id":"2606.26196","last_updated":"2026-06-24T15:20:32Z","snapshot_observed_at":"2026-07-07T00:00:31.981360Z","submitted_at":"2026-06-24T15:20:32Z","title":"From Structure to Synergy: A Survey of Vision-Language Perception Paradigm Evolution in Multimodal Large Language Models","version":1},"reference_index":95,"source":"pdf_text","source_observed_at":"2026-06-26T01:50:54.242508Z"},"links":{"cited_paper":"/paper/2503.13881","citing_paper":"/paper/2606.26196"},"observation_digest":"sha256:0ce3b2a7b4ed0f0e529d6f6db27b44f07aa2ebc713cb8da2c1bd41a454069e86","observation_id":"b73f5a8e-05a0-436f-9818-b999128f4e9b","resolution":{"observed_at":"2026-07-04T15:09:55.238999Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2503.13881/citation-record","integrity":"/paper/2503.13881/integrity","json":"/paper/2503.13881/citation-record.json","paper":"/paper/2503.13881"},"outbound":[],"paper":{"arxiv_id":"2503.13881","last_updated":"2025-03-18T04:23:09Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T16:56:00.215424Z","submitted_at":"2025-03-18T04:23:09Z","title":"MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation"},"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 7 inbound Pith citation observations for arXiv:2503.13881."}