{"as_of":"2026-08-09T14:16:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a0b87b812d154749e503bc14b604384920c74bd9e0212dc56dd254185e1079de","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:53:22.323235Z","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":"2026-07-04T15:09:55.106687Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2405.16919","last_updated":"2025-03-08T17:16:09Z","snapshot_observed_at":"2026-08-08T23:08:12.291486Z","submitted_at":"2024-05-27T08:12:00Z","title":"VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16919","snapshot_observed_at":"2026-08-07T13:53:22.323235Z","title":"V ocot: Unleashing visually grounded multi-step reasoning in large multi-modal models.arXiv preprint arXiv:2405.16919, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.20753","last_updated":"2025-05-27T05:50:25Z","snapshot_observed_at":"2026-08-08T15:49:45.420093Z","submitted_at":"2025-05-27T05:50:25Z","title":"Understand, Think, and Answer: Advancing Visual Reasoning with Large Multimodal Models","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-07T13:53:22.323235Z"},"links":{"cited_paper":"/paper/2405.16919","citing_paper":"/paper/2505.20753"},"observation_digest":"sha256:d038d961224970c5d77a488019ab8e33cb0bf7c32a7f891307c0dc3eef766d92","observation_id":"4f1502bd-9178-44d1-928a-fb4d474499b0","resolution":{"observed_at":"2026-08-07T13:53:22.323235Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16919","last_updated":"2025-03-08T17:16:09Z","snapshot_observed_at":"2026-08-08T23:08:12.291486Z","submitted_at":"2024-05-27T08:12:00Z","title":"VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models","version":3},"cited_work":{"arxiv_id":"2405.16919","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.16919","snapshot_observed_at":"2026-07-04T15:09:55.106687Z","title":"V ocot: Unleashing visually grounded multi-step reasoning in large multi-modal models","venue":null,"work_id":"e45af79d-e705-42bd-ada7-7d63ff1ace50","year":2024},"citing_paper":{"arxiv_id":"2505.23678","last_updated":"2026-05-15T17:27:46Z","snapshot_observed_at":"2026-08-02T04:30:21.704758Z","submitted_at":"2025-05-29T17:20:26Z","title":"Grounded Reinforcement Learning for Visual Reasoning","version":3},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-05-22T01:05:18.801388Z"},"links":{"cited_paper":"/paper/2405.16919","citing_paper":"/paper/2505.23678"},"observation_digest":"sha256:e09b2d8046570cbb3de5c7689f9900ae25568207f278791dd2baeb700d977675","observation_id":"b12abdce-19e9-43f0-a505-f5a8ec5685b6","resolution":{"observed_at":"2026-05-22T01:05:51.907355Z","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":"2405.16919","last_updated":"2025-03-08T17:16:09Z","snapshot_observed_at":"2026-08-08T23:08:12.291486Z","submitted_at":"2024-05-27T08:12:00Z","title":"VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16919","snapshot_observed_at":"2026-08-07T12:42:22.824876Z","title":"V oCoT: Unleashing visually grounded multi-step reasoning in large multi-modal models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.23766","last_updated":"2025-05-29T17:59:56Z","snapshot_observed_at":"2026-08-08T00:05:10.710300Z","submitted_at":"2025-05-29T17:59:56Z","title":"Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T12:42:22.824876Z"},"links":{"cited_paper":"/paper/2405.16919","citing_paper":"/paper/2505.23766"},"observation_digest":"sha256:74d165b411bae086ffcdd99fe47f3c32e93f9fb391928e8902a4a994de249044","observation_id":"da18befe-f9d2-4dc4-933e-62124fd12f8a","resolution":{"observed_at":"2026-08-07T12:42:22.824876Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16919","last_updated":"2025-03-08T17:16:09Z","snapshot_observed_at":"2026-08-08T23:08:12.291486Z","submitted_at":"2024-05-27T08:12:00Z","title":"VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16919","snapshot_observed_at":"2026-08-07T11:55:12.887272Z","title":"V ocot: Unleashing visually grounded multi-step reasoning in large multi-modal models.arXiv preprint arXiv:2405.16919, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01078","last_updated":"2025-06-01T16:28:26Z","snapshot_observed_at":"2026-08-08T00:05:34.569025Z","submitted_at":"2025-06-01T16:28:26Z","title":"GThinker: Towards General Multimodal Reasoning via Cue-Guided Rethinking","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-07T11:55:12.887272Z"},"links":{"cited_paper":"/paper/2405.16919","citing_paper":"/paper/2506.01078"},"observation_digest":"sha256:98a92c860caab83bc6b087dea567cbd60e76fae9d58763abef9bf0db810cda28","observation_id":"62f27d10-92d2-4000-9c11-92909d519264","resolution":{"observed_at":"2026-08-07T11:55:12.887272Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16919","last_updated":"2025-03-08T17:16:09Z","snapshot_observed_at":"2026-08-08T23:08:12.291486Z","submitted_at":"2024-05-27T08:12:00Z","title":"VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models","version":3},"cited_work":{"arxiv_id":"2405.16919","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.16919","snapshot_observed_at":"2026-07-04T15:09:55.106687Z","title":"V ocot: Unleashing visually grounded multi-step reasoning in large multi-modal models","venue":null,"work_id":"e45af79d-e705-42bd-ada7-7d63ff1ace50","year":2024},"citing_paper":{"arxiv_id":"2509.22746","last_updated":"2026-05-14T08:41:49Z","snapshot_observed_at":"2026-08-07T17:13:19.123990Z","submitted_at":"2025-09-26T04:33:53Z","title":"Mixture-of-Visual-Thoughts: Exploring Context-Adaptive Reasoning Mode Selection for General Visual Reasoning","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-05-18T13:33:12.508639Z"},"links":{"cited_paper":"/paper/2405.16919","citing_paper":"/paper/2509.22746"},"observation_digest":"sha256:1abfcfd12cd6b93ad232c4375b7a17e07deafc005e617c7f6b047af73a8392ba","observation_id":"494333cc-0eec-4838-ba19-b8d7b4637278","resolution":{"observed_at":"2026-05-18T13:36:25.203478Z","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":"2405.16919","last_updated":"2025-03-08T17:16:09Z","snapshot_observed_at":"2026-08-08T23:08:12.291486Z","submitted_at":"2024-05-27T08:12:00Z","title":"VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16919","snapshot_observed_at":"2026-08-03T20:57:30.128701Z","title":"V ocot: Unleashing visually grounded multi- step reasoning in large multi-modal models.arXiv preprint arXiv:2405.16919, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2511.17731","last_updated":"2026-06-30T21:37:31Z","snapshot_observed_at":"2026-08-03T20:57:27.147869Z","submitted_at":"2025-11-21T19:30:24Z","title":"VisReason: A Large-Scale Dataset for Visual Chain-of-Thought Reasoning","version":2},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-03T20:57:30.128701Z"},"links":{"cited_paper":"/paper/2405.16919","citing_paper":"/paper/2511.17731"},"observation_digest":"sha256:3fb4a1b42a8565d85e0b0b31ca94dce7022708cc93bcd2062eeaea91287a6c16","observation_id":"797ee666-b023-4f7c-904d-efcb5b9a59d9","resolution":{"observed_at":"2026-08-03T20:57:30.128701Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16919","last_updated":"2025-03-08T17:16:09Z","snapshot_observed_at":"2026-08-08T23:08:12.291486Z","submitted_at":"2024-05-27T08:12:00Z","title":"VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models","version":3},"cited_work":{"arxiv_id":"2405.16919","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2405.16919","snapshot_observed_at":"2026-07-04T15:09:55.106687Z","title":"V ocot: Unleashing visually grounded multi-step reasoning in large multi-modal models","venue":null,"work_id":"e45af79d-e705-42bd-ada7-7d63ff1ace50","year":2024},"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":134,"source":"pdf_text","source_observed_at":"2026-06-26T01:50:54.242508Z"},"links":{"cited_paper":"/paper/2405.16919","citing_paper":"/paper/2606.26196"},"observation_digest":"sha256:ed812d86c960863e1cb01a539fb6056b767ceb5a6cef294433214daef589283b","observation_id":"80796cc7-a4cd-4940-9357-9325f59b9239","resolution":{"observed_at":"2026-07-04T15:09:55.108783Z","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":"2405.16919","last_updated":"2025-03-08T17:16:09Z","snapshot_observed_at":"2026-08-08T23:08:12.291486Z","submitted_at":"2024-05-27T08:12:00Z","title":"VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal Models","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16919","snapshot_observed_at":"2026-07-12T04:17:40.198357Z","title":"arXiv preprint arXiv:2405.16919 , year=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2607.03184","last_updated":"2026-07-03T10:42:34Z","snapshot_observed_at":"2026-08-05T15:07:18.952856Z","submitted_at":"2026-07-03T10:42:34Z","title":"BVS: Bayesian Visual Search with Multimodal Large Language Model for Fine-grained Perception","version":1},"reference_index":212,"source":"arxiv_source","source_observed_at":"2026-07-12T04:17:40.198357Z"},"links":{"cited_paper":"/paper/2405.16919","citing_paper":"/paper/2607.03184"},"observation_digest":"sha256:f5a00b48a82bc07f5442dd1d2b31b78a01082f3053230e40117909126be1ed48","observation_id":"43b82e8c-80c8-445a-b587-b81b0cf81c88","resolution":{"observed_at":"2026-07-12T04:17:40.198357Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2405.16919/citation-record","integrity":"/paper/2405.16919/integrity","json":"/paper/2405.16919/citation-record.json","paper":"/paper/2405.16919"},"outbound":[],"paper":{"arxiv_id":"2405.16919","last_updated":"2025-03-08T17:16:09Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-08T23:08:12.291486Z","submitted_at":"2024-05-27T08:12:00Z","title":"VoCoT: Unleashing Visually Grounded Multi-Step Reasoning in Large Multi-Modal 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 8 inbound Pith citation observations for arXiv:2405.16919."}