{"as_of":"2026-08-22T10:19:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:06a6c055f6028b81b4129b8effb75018073160c1bf79e4d93e2b43eeb46de5bd","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":9,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":9,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-22T06:32:14.747728+00:00","state":"measured"},{"denominator":9,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":9,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T12:36:21.486935Z","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":"2026-07-04T08:59:43.214652Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2411.06048","last_updated":"2024-11-09T03:07:33Z","snapshot_observed_at":"2026-08-20T11:53:02.651008Z","submitted_at":"2024-11-09T03:07:33Z","title":"An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.06048","snapshot_observed_at":"2026-08-07T12:36:21.486935Z","title":"An empirical analysis on spatial reasoning capabilities of large multimodal models.arXiv preprint arXiv:2411.06048, 2024","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.24182","last_updated":"2025-05-30T03:48:59Z","snapshot_observed_at":"2026-08-08T07:49:06.410674Z","submitted_at":"2025-05-30T03:48:59Z","title":"Seeing is Not Reasoning: MVPBench for Graph-based Evaluation of Multi-path Visual Physical CoT","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-07T12:36:21.486935Z"},"links":{"cited_paper":"/paper/2411.06048","citing_paper":"/paper/2505.24182"},"observation_digest":"sha256:4886a105cfb9b4056d400e4e90e0b403b3a53497f6b9f942ce3bb65f1736129a","observation_id":"a4532fb0-a63d-47eb-bfe9-83c99d75f682","resolution":{"observed_at":"2026-08-07T12:36:21.486935Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.06048","last_updated":"2024-11-09T03:07:33Z","snapshot_observed_at":"2026-08-20T11:53:02.651008Z","submitted_at":"2024-11-09T03:07:33Z","title":"An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.06048","snapshot_observed_at":"2026-08-07T10:35:44.119016Z","title":"An empirical analysis on spatial reasoning capabilities of large multimodal models,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.05440","last_updated":"2025-06-05T12:43:10Z","snapshot_observed_at":"2026-08-07T21:22:23.284742Z","submitted_at":"2025-06-05T12:43:10Z","title":"BYO-Eval: Build Your Own Dataset for Fine-Grained Visual Assessment of Multimodal Language Models","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-07T10:35:44.119016Z"},"links":{"cited_paper":"/paper/2411.06048","citing_paper":"/paper/2506.05440"},"observation_digest":"sha256:789904d0165040bf98611ea5418ef6ab33b963465e85cf231a53bd6bab638485","observation_id":"0ea5f7f5-25b9-4990-8352-8fe4af0d8431","resolution":{"observed_at":"2026-08-07T10:35:44.119016Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.06048","last_updated":"2024-11-09T03:07:33Z","snapshot_observed_at":"2026-08-20T11:53:02.651008Z","submitted_at":"2024-11-09T03:07:33Z","title":"An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.06048","snapshot_observed_at":"2026-08-05T20:05:11.542674Z","title":"An empirical anal- ysis on spatial reasoning capabilities of large multimodal models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2508.11286","last_updated":"2025-08-15T07:48:51Z","snapshot_observed_at":"2026-08-17T03:23:54.723397Z","submitted_at":"2025-08-15T07:48:51Z","title":"Scene Graph-Guided Proactive Replanning for Failure-Resilient Embodied Agent","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-05T20:05:11.542674Z"},"links":{"cited_paper":"/paper/2411.06048","citing_paper":"/paper/2508.11286"},"observation_digest":"sha256:03acd90d51dc8e7edd9b2e69271d9dea57bdb312f501f68b8cb895b6e97d7cc3","observation_id":"808c1182-1559-48a7-9ae8-1d9e524267d3","resolution":{"observed_at":"2026-08-05T20:05:11.542674Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.06048","last_updated":"2024-11-09T03:07:33Z","snapshot_observed_at":"2026-08-20T11:53:02.651008Z","submitted_at":"2024-11-09T03:07:33Z","title":"An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.06048","snapshot_observed_at":"2026-08-05T11:56:10.891255Z","title":"An empirical analysis on spatial reasoning capabilities of large multimodal 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":"2026-08-20T07:39:31.972350Z","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":55,"source":"pdf_text","source_observed_at":"2026-08-05T11:56:10.891255Z"},"links":{"cited_paper":"/paper/2411.06048","citing_paper":"/paper/2509.02175"},"observation_digest":"sha256:101826900ec14c13c0a6fb2f9065a6efe9f3ad5d67b56c74b1c30de0aae5ada0","observation_id":"46dbd422-b89c-465a-9b0e-083c1660ed6d","resolution":{"observed_at":"2026-08-05T11:56:10.891255Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.06048","last_updated":"2024-11-09T03:07:33Z","snapshot_observed_at":"2026-08-20T11:53:02.651008Z","submitted_at":"2024-11-09T03:07:33Z","title":"An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models","version":1},"cited_work":{"arxiv_id":"2411.06048","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.06048","snapshot_observed_at":"2026-07-04T08:59:43.214652Z","title":"An empirical analysis on spatial reasoning capabilities of large multimodal models","venue":null,"work_id":"8b692ac9-ab92-4e91-952c-e54e2621b221","year":2025},"citing_paper":{"arxiv_id":"2601.22228","last_updated":"2026-04-29T18:36:35Z","snapshot_observed_at":"2026-08-14T21:19:56.589413Z","submitted_at":"2026-01-29T19:01:03Z","title":"Lost in Space? Vision-Language Models Struggle with Relative Camera Pose Estimation","version":2},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-16T09:31:39.548562Z"},"links":{"cited_paper":"/paper/2411.06048","citing_paper":"/paper/2601.22228"},"observation_digest":"sha256:619d4c4ad65c299fe763510332444a5d422c78be45d0b5dbbb8bd9d5233c7dd0","observation_id":"a7cc2200-ebc5-4511-99e4-6835ecd51d87","resolution":{"observed_at":"2026-05-16T09:32:41.257423Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.06048","last_updated":"2024-11-09T03:07:33Z","snapshot_observed_at":"2026-08-20T11:53:02.651008Z","submitted_at":"2024-11-09T03:07:33Z","title":"An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models","version":1},"cited_work":{"arxiv_id":"2411.06048","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.06048","snapshot_observed_at":"2026-07-04T08:59:43.214652Z","title":"An empirical analysis on spatial reasoning capabilities of large multimodal models","venue":null,"work_id":"8b692ac9-ab92-4e91-952c-e54e2621b221","year":2025},"citing_paper":{"arxiv_id":"2605.23176","last_updated":"2026-06-15T18:43:33Z","snapshot_observed_at":"2026-08-18T11:09:47.441160Z","submitted_at":"2026-05-22T02:52:06Z","title":"DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-05-25T05:10:32.522453Z"},"links":{"cited_paper":"/paper/2411.06048","citing_paper":"/paper/2605.23176"},"observation_digest":"sha256:d4a59d260d076e8f0a5f35fe9708fe06aa608c40269c8b1f66d57199316356a1","observation_id":"5f297558-ecb7-4ad9-bcb3-84ee7ac68369","resolution":{"observed_at":"2026-05-25T05:15:22.851937Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.06048","last_updated":"2024-11-09T03:07:33Z","snapshot_observed_at":"2026-08-20T11:53:02.651008Z","submitted_at":"2024-11-09T03:07:33Z","title":"An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models","version":1},"cited_work":{"arxiv_id":"2411.06048","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.06048","snapshot_observed_at":"2026-07-04T08:59:43.214652Z","title":"An empirical analysis on spatial reasoning capabilities of large multimodal models","venue":null,"work_id":"8b692ac9-ab92-4e91-952c-e54e2621b221","year":2025},"citing_paper":{"arxiv_id":"2605.23176","last_updated":"2026-06-15T18:43:33Z","snapshot_observed_at":"2026-08-18T11:09:47.441160Z","submitted_at":"2026-05-22T02:52:06Z","title":"DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving","version":2},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-06-30T16:40:22.441025Z"},"links":{"cited_paper":"/paper/2411.06048","citing_paper":"/paper/2605.23176"},"observation_digest":"sha256:3587be99a42142c2bf3283ee9fff94c4dd115ba374c8f36e259bb6de105b5649","observation_id":"7713b246-3966-4641-94a6-a2f2fbcaf864","resolution":{"observed_at":"2026-06-30T16:44:56.119897Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.06048","last_updated":"2024-11-09T03:07:33Z","snapshot_observed_at":"2026-08-20T11:53:02.651008Z","submitted_at":"2024-11-09T03:07:33Z","title":"An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models","version":1},"cited_work":{"arxiv_id":"2411.06048","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.06048","snapshot_observed_at":"2026-07-04T08:59:43.214652Z","title":"An empirical analysis on spatial reasoning capabilities of large multimodal models","venue":null,"work_id":"8b692ac9-ab92-4e91-952c-e54e2621b221","year":2025},"citing_paper":{"arxiv_id":"2606.05966","last_updated":"2026-06-04T10:07:05Z","snapshot_observed_at":"2026-07-06T23:45:51.910263Z","submitted_at":"2026-06-04T10:07:05Z","title":"Causal Scaffolding for Physical Reasoning: A Benchmark for Causally-Informed Physical World Understanding in VLMs","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-06-27T23:15:38.962013Z"},"links":{"cited_paper":"/paper/2411.06048","citing_paper":"/paper/2606.05966"},"observation_digest":"sha256:08c6d9547bc65a95bbe0b52ee0648dd85d640c611a89d7524e414209c07c51b0","observation_id":"32acffc1-56cd-4951-b4ab-fea1bc481b29","resolution":{"observed_at":"2026-07-02T15:57:06.724349Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2411.06048","last_updated":"2024-11-09T03:07:33Z","snapshot_observed_at":"2026-08-20T11:53:02.651008Z","submitted_at":"2024-11-09T03:07:33Z","title":"An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models","version":1},"cited_work":{"arxiv_id":"2411.06048","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2411.06048","snapshot_observed_at":"2026-07-04T08:59:43.214652Z","title":"An empirical analysis on spatial reasoning capabilities of large multimodal models","venue":null,"work_id":"8b692ac9-ab92-4e91-952c-e54e2621b221","year":2025},"citing_paper":{"arxiv_id":"2606.22694","last_updated":"2026-06-21T22:15:48Z","snapshot_observed_at":"2026-08-14T14:23:00.435441Z","submitted_at":"2026-06-21T22:15:48Z","title":"SATURN: Symbolic Spatial Reasoning for Multi-Perspective Grounding","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-06-26T10:39:37.034808Z"},"links":{"cited_paper":"/paper/2411.06048","citing_paper":"/paper/2606.22694"},"observation_digest":"sha256:08c8f5c996f2c0fc4a646c5ef8c493a807bfd6e07ecf235747f84530a4dcef45","observation_id":"89cd86ee-d8f7-42e1-935f-66d52f2fb152","resolution":{"observed_at":"2026-07-04T08:59:43.216159Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2411.06048/citation-record","integrity":"/paper/2411.06048/integrity","json":"/paper/2411.06048/citation-record.json","paper":"/paper/2411.06048"},"outbound":[],"paper":{"arxiv_id":"2411.06048","last_updated":"2024-11-09T03:07:33Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-20T11:53:02.651008Z","submitted_at":"2024-11-09T03:07:33Z","title":"An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal 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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2411.06048."}