{"as_of":"2026-08-07T17:04:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:7bcbe9fab90c263f59d921bb69d4acd6f9c8ac67e84c2c6253b11277244145d8","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":"2026-08-07T06:34:17.273281+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":"2026-08-07T15:21:04.774658Z","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":"2026-05-25T08:40:33.016889Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.09788","last_updated":"2024-09-15T16:45:42Z","snapshot_observed_at":"2026-07-06T19:15:38.913862Z","submitted_at":"2024-09-15T16:45:42Z","title":"Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.09788","snapshot_observed_at":"2026-08-07T15:21:04.774658Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.15435","last_updated":"2025-05-21T12:18:02Z","snapshot_observed_at":"2026-08-07T15:15:34.671409Z","submitted_at":"2025-05-21T12:18:02Z","title":"TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models","version":1},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T15:21:04.774658Z"},"links":{"cited_paper":"/paper/2409.09788","citing_paper":"/paper/2505.15435"},"observation_digest":"sha256:f9820835ceddd029a79b43036183940252b854059fc35e20163e7781e122b50c","observation_id":"6685021b-79d0-49b0-952d-3f044846202d","resolution":{"observed_at":"2026-08-07T15:21:04.774658Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.09788","last_updated":"2024-09-15T16:45:42Z","snapshot_observed_at":"2026-07-06T19:15:38.913862Z","submitted_at":"2024-09-15T16:45:42Z","title":"Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models","version":1},"cited_work":{"arxiv_id":"2409.09788","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.09788","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Reasoning paths with reference objects elicit quan- titative spatial reasoning in large vision-language models","venue":null,"work_id":"df351daf-e78e-4fb1-ba8f-3f5752519a76","year":2024},"citing_paper":{"arxiv_id":"2505.17015","last_updated":"2026-05-22T13:26:59Z","snapshot_observed_at":"2026-08-02T12:28:29.672279Z","submitted_at":"2025-05-22T17:59:39Z","title":"Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models","version":2},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-05-25T08:38:02.944230Z"},"links":{"cited_paper":"/paper/2409.09788","citing_paper":"/paper/2505.17015"},"observation_digest":"sha256:8113be2bb534bc0fc5999e530db23d417cba8b0d67f8252bb783575080473e5f","observation_id":"954e5e59-24d8-4f89-94b9-c4744332f726","resolution":{"observed_at":"2026-05-25T08:40:33.019619Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.09788","last_updated":"2024-09-15T16:45:42Z","snapshot_observed_at":"2026-07-06T19:15:38.913862Z","submitted_at":"2024-09-15T16:45:42Z","title":"Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.09788","snapshot_observed_at":"2026-08-07T11:55:28.602824Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.01371","last_updated":"2025-06-02T06:58:43Z","snapshot_observed_at":"2026-08-07T11:41:22.512374Z","submitted_at":"2025-06-02T06:58:43Z","title":"SVQA-R1: Reinforcing Spatial Reasoning in MLLMs via View-Consistent Reward Optimization","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-07T11:55:28.602824Z"},"links":{"cited_paper":"/paper/2409.09788","citing_paper":"/paper/2506.01371"},"observation_digest":"sha256:4e853396e08ab0310899d6773570b847fe6770ee6171d2233c196b95cb5af76e","observation_id":"3d0b878b-decd-4ba4-aa6a-ddd4b2b2fafc","resolution":{"observed_at":"2026-08-07T11:55:28.602824Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.09788","last_updated":"2024-09-15T16:45:42Z","snapshot_observed_at":"2026-07-06T19:15:38.913862Z","submitted_at":"2024-09-15T16:45:42Z","title":"Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.09788","snapshot_observed_at":"2026-08-07T00:57:29.933259Z","title":"Reasoning paths with reference objects elicit quantitative spatial reasoning in large vision-language models.arXiv preprint arXiv:2409.09788, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.12374","last_updated":"2025-06-24T10:01:18Z","snapshot_observed_at":"2026-08-07T07:38:26.007252Z","submitted_at":"2025-06-14T07:11:44Z","title":"AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making","version":2},"reference_index":109,"source":"pdf_text","source_observed_at":"2026-08-07T00:57:29.933259Z"},"links":{"cited_paper":"/paper/2409.09788","citing_paper":"/paper/2506.12374"},"observation_digest":"sha256:8542d0b55642a5ce85df0679645340817276e109e5e504a5a69c1dbc4d32de2e","observation_id":"a84df6a2-a52b-4057-983f-c1a416855eae","resolution":{"observed_at":"2026-08-07T00:57:29.933259Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.09788","last_updated":"2024-09-15T16:45:42Z","snapshot_observed_at":"2026-07-06T19:15:38.913862Z","submitted_at":"2024-09-15T16:45:42Z","title":"Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models","version":1},"cited_work":{"arxiv_id":"2409.09788","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.09788","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Reasoning paths with reference objects elicit quan- titative spatial reasoning in large vision-language models","venue":null,"work_id":"df351daf-e78e-4fb1-ba8f-3f5752519a76","year":2024},"citing_paper":{"arxiv_id":"2508.13998","last_updated":"2026-04-06T03:29:44Z","snapshot_observed_at":"2026-08-03T11:31:47.613184Z","submitted_at":"2025-08-19T16:50:01Z","title":"Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-05-18T22:04:34.235731Z"},"links":{"cited_paper":"/paper/2409.09788","citing_paper":"/paper/2508.13998"},"observation_digest":"sha256:19768a2f6b35a2b62f3bbb83ad84d6f9be3872e680fb86f5bc2d29f5595bf25e","observation_id":"afe2cfe4-f0be-40a0-bb7a-d577a73a9e4e","resolution":{"observed_at":"2026-05-18T22:06:51.623892Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.09788","last_updated":"2024-09-15T16:45:42Z","snapshot_observed_at":"2026-07-06T19:15:38.913862Z","submitted_at":"2024-09-15T16:45:42Z","title":"Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.09788","snapshot_observed_at":"2026-08-05T11:56:09.876720Z","title":"Reasoning paths with reference objects elicit quantitative spatial reasoning in large vision-language models, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2509.02175","last_updated":"2025-09-04T16:38:44Z","snapshot_observed_at":"2026-08-05T11:56:06.572610Z","submitted_at":"2025-09-02T10:32:58Z","title":"Understanding Space Is Rocket Science -- Only Top Reasoning Models Can Solve Spatial Understanding Tasks","version":2},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-05T11:56:09.876720Z"},"links":{"cited_paper":"/paper/2409.09788","citing_paper":"/paper/2509.02175"},"observation_digest":"sha256:18e7a45bb41e944c2cfec5fe98945c357215022026bb2cf23602c99a5a798115","observation_id":"4183ae05-a85b-43b7-93fd-6fc83eddc123","resolution":{"observed_at":"2026-08-05T11:56:09.876720Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.09788","last_updated":"2024-09-15T16:45:42Z","snapshot_observed_at":"2026-07-06T19:15:38.913862Z","submitted_at":"2024-09-15T16:45:42Z","title":"Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.09788","snapshot_observed_at":"2026-07-15T13:03:40.459461Z","title":"Reasoning paths with reference objects elicit quan- titative spatial reasoning in large vision-language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2603.08011","last_updated":"2026-05-23T08:33:03Z","snapshot_observed_at":"2026-07-15T13:03:36.473767Z","submitted_at":"2026-03-09T06:33:49Z","title":"It's Time to Get It Right: Improving Analog Clock Reading and Clock-Hand Spatial Reasoning in Vision-Language Models","version":2},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-07-15T13:03:40.459461Z"},"links":{"cited_paper":"/paper/2409.09788","citing_paper":"/paper/2603.08011"},"observation_digest":"sha256:d1d3c0adc05e767f174d28ca727529f6f2f6977b9fb48c4a08f75c262d1a4e1e","observation_id":"2ee79cba-ed80-44a7-88c5-e021a0b0d691","resolution":{"observed_at":"2026-07-15T13:03:40.459461Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2409.09788/citation-record","integrity":"/paper/2409.09788/integrity","json":"/paper/2409.09788/citation-record.json","paper":"/paper/2409.09788"},"outbound":[],"paper":{"arxiv_id":"2409.09788","last_updated":"2024-09-15T16:45:42Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T19:15:38.913862Z","submitted_at":"2024-09-15T16:45:42Z","title":"Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2409.09788."}