Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2505.11907.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-02T09:58:47.727146Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-07-08T14:44:59.676019Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation cc70dddd-d1b8-4cf1-9a8b-80502f10d403 · inbound
Beyond Thinking: Imagining in 360$^\circ$ for Humanoid Visual Search cites this paper.
Beyond Thinking: Imagining in 360$^\circ$ for Humanoid Visual Search Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?
Reference 10
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-12T03:01:18.289687Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2c2bf1a0-1fb2-42d4-ac68-d17823b0c0fa · inbound
Beyond Localization: A Comprehensive Diagnosis of Perspective-Conditioned Spatial Reasoning in MLLMs from Omnidirectional Images cites this paper.
Beyond Localization: A Comprehensive Diagnosis of Perspective-Conditioned Spatial Reasoning in MLLMs from Omnidirectional Images Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-13T06:57:27.391208Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2f122681-9e17-437f-833e-f78c75ec0125 · inbound
Beyond Localization: A Comprehensive Diagnosis of Perspective-Conditioned Spatial Reasoning in MLLMs from Omnidirectional Images cites this paper.
Beyond Localization: A Comprehensive Diagnosis of Perspective-Conditioned Spatial Reasoning in MLLMs from Omnidirectional Images Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T21:39:29.060872Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 2a4ae096-c122-466e-8e03-116dbae3ed40 · inbound
Beyond Localization: A Comprehensive Diagnosis of Perspective-Conditioned Spatial Reasoning in MLLMs from Omnidirectional Images cites this paper.
Beyond Localization: A Comprehensive Diagnosis of Perspective-Conditioned Spatial Reasoning in MLLMs from Omnidirectional Images Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?
Reference 11
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T22:29:09.857085Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation a2a1c787-b80a-49f8-9dae-5e07b9cc7707 · inbound
PanoWorld: Towards Spatial Supersensing in 360$^\circ$ Panorama World cites this paper.
PanoWorld: Towards Spatial Supersensing in 360$^\circ$ Panorama World Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:42:57.553435Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation bf4e4261-fd0e-4fd9-b8fd-ddea000b385f · inbound
PanoWorld: Towards Spatial Supersensing in 360$^\circ$ Panorama World cites this paper.
PanoWorld: Towards Spatial Supersensing in 360$^\circ$ Panorama World Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?
Reference 10
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T16:57:40.120350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 77cc1285-2155-41fa-9d5e-fe6602069f07 · inbound
Eliciting Complex Spatial Reasoning in MLLMs through Wide-Baseline Matching cites this paper.
Eliciting Complex Spatial Reasoning in MLLMs through Wide-Baseline Matching Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T02:36:27.097894Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 1162cc6d-6e32-4727-b1c5-185155f95162 · inbound
Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling cites this paper.
Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T20:03:56.622701Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation d6159810-5c67-4fa8-9da0-f4b16dd4cc83 · inbound
Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling cites this paper.
Panoramic Scene Understanding: A Survey from Distortion-Aware Engineering to Sphere-Native Modeling Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T09:58:47.727146Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc623953-8777-4802-9eaf-ef25c84ff2d4 · inbound
OmniCoT: A Benchmark for Global and Multi-Step Panoramic Reasoning cites this paper.
OmniCoT: A Benchmark for Global and Multi-Step Panoramic Reasoning Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?
Reference 9
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T06:14:19.082359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 3f274e56-1d19-4a06-a910-12c2785f3bcb · inbound
Seek to Segment: Active Perception for Panoramic Referring Segmentation cites this paper.
Seek to Segment: Active Perception for Panoramic Referring Segmentation Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T14:48:32.618936Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.
Observation 86bf2789-2a3d-4959-8d59-7f1a160e6572 · inbound
EAGOR: Embodied Reasoning in Omni-direction cites this paper.
EAGOR: Embodied Reasoning in Omni-direction Are Multimodal Large Language Models Ready for Omnidirectional Spatial Reasoning?
Reference 24
- Resolution
- verified exact
- local_arxiv, observed 2026-07-08T14:44:59.678569Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.