Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 20 inbound Pith citation observations for arXiv:2503.23765.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-05T18:48:03.400031Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z
0 of 0 outbound references displayed
External citation measurements
No source-named external measurement is stored.
No outbound reference observations are available for this paper version.
Observation e89c9018-c955-431b-b14c-e23c264773f3 · inbound
SpaceR: Reinforcing MLLMs in Video Spatial Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 18
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 09605819-077f-4d67-9920-7b2a6992d53d · inbound
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation bb8d9f1c-d264-4eb8-8157-e750ada9dbc4 · inbound
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 53
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2d21fb99-1494-4ff9-9b69-2d621a7edce3 · inbound
The high-speed X-ray camera on AXIS: design and performance updates STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 31
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2bd7c452-e556-4171-8c3d-a06dcd6c19c2 · inbound
SpatialBench: Benchmarking Multimodal Large Language Models for Spatial Cognition STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 41
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 0db04dbc-4cc4-4ee5-8d21-1e2a28e23039 · inbound
SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 36
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c1482195-fb45-4349-9de8-55d321ef351d · inbound
SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 36
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c4d1d119-d33f-4bd3-a308-897e33bc2a2c · inbound
$M^3-Verse$: A "Spot the Difference" Challenge for Large Multimodal Models STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 17
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3bfd95b4-fbf8-4e1b-b685-8985553b8e4f · inbound
SCP: Spatial Causal Prediction in Video STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 30
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d8f2f974-741a-475e-bb0e-f760f5eb2ab1 · inbound
SpatialStack: Layered Geometry-Language Fusion for 3D VLM Spatial Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 28
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c84b84c9-beb7-4d1e-927c-fb0bc8bf13ba · inbound
LAST: Leveraging Tools as Hints to Enhance Spatial Reasoning for Multimodal Large Language Models STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 20
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 2ae6e612-d86f-48cd-af6d-69d084997e39 · inbound
ViSRA: A Video-based Spatial Reasoning Agent for Multi-modal Large Language Models STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 24
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 34bfc2b2-2a13-4f1c-b304-398a50681a7e · inbound
CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 21
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation d8b1592a-580c-4e30-ae30-f68d7d18df7f · inbound
Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 13
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation dd3f9979-95c4-4dc4-a1f1-cd4eb25cc115 · inbound
Q-GeoMem: Question-Guided Geometric Memory for Video Spatial Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 15
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 1920eedb-05f3-40f7-b2e6-3633131927b2 · inbound
Q-GeoMem: Question-Guided Geometric Memory for Video Spatial Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 15
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41f59920-a41d-4fce-844a-118668491ab0 · inbound
Beyond 3D VQAs: Injecting 3D Spatial Priors into Vision-Language Models for Enhanced Geometric Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 29
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 29da8a06-3bb5-4983-9a59-bf92699eb05a · inbound
LongSpace: Exploring Long-Horizon Spatial Memory from Perception to Recall in Video STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 8
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 3c809614-428b-44b5-80de-97df429d3699 · inbound
Reason, Then Re-reason: Cross-view Revisiting Improves Spatial Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 37
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 124f1882-f6c3-404f-b165-96ff428db523 · inbound
AirGroundBench: Probing Spatial Intelligence in Multimodal Large Models under Heterogeneous Multi-View Embodied Collaboration STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 22
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.