Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 23 inbound Pith citation observations for arXiv:2503.23765.
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 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:13:42.676327Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z
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 e89c9018-c955-431b-b14c-e23c264773f3 · inbound
SpaceR: Reinforcing MLLMs in Video Spatial Reasoning cites this paper.
SpaceR: Reinforcing MLLMs in Video Spatial Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T15:18:43.867380Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2347f6aa-ac5a-4b8b-a3da-97312c56f293 · inbound
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving cites this paper.
HCRMP: A LLM-Hinted Contextual Reinforcement Learning Framework for Autonomous Driving STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:13:42.676327Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 41962da8-18cf-4446-99e1-a953da3e28de · inbound
VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy Optimization cites this paper.
VerIPO: Cultivating Long Reasoning in Video-LLMs via Verifier-Gudied Iterative Policy Optimization STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:25:36.284175Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 09605819-077f-4d67-9920-7b2a6992d53d · inbound
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence cites this paper.
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-16T08:34:36.938612Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation bb8d9f1c-d264-4eb8-8157-e750ada9dbc4 · inbound
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence cites this paper.
Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 53
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T01:00:51.280287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7c68a152-e7db-4071-b81e-cfc0a44eaa7f · inbound
EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World? cites this paper.
EOC-Bench: Can MLLMs Identify, Recall, and Forecast Objects in an Egocentric World? STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T10:29:42.647173Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d21fb99-1494-4ff9-9b69-2d621a7edce3 · inbound
The high-speed X-ray camera on AXIS: design and performance updates cites this paper.
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
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T18:48:03.400031Z
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 cites this paper.
SpatialBench: Benchmarking Multimodal Large Language Models for Spatial Cognition STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 41
- Resolution
- verified exact
- arxiv_id, observed 2026-05-17T04:59:04.296499Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 0db04dbc-4cc4-4ee5-8d21-1e2a28e23039 · inbound
SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving cites this paper.
SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T12:21:31.382952Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c1482195-fb45-4349-9de8-55d321ef351d · inbound
SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving cites this paper.
SpaceDrive: Infusing Spatial Awareness into VLM-based Autonomous Driving STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T17:07:43.319564Z
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 cites this paper.
$M^3-Verse$: A "Spot the Difference" Challenge for Large Multimodal Models STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T14:57:29.129862Z
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 cites this paper.
SCP: Spatial Causal Prediction in Video STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T16:50:11.225647Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d8f2f974-741a-475e-bb0e-f760f5eb2ab1 · inbound
SpatialStack: Layered Geometry-Language Fusion for 3D VLM Spatial Reasoning cites this paper.
SpatialStack: Layered Geometry-Language Fusion for 3D VLM Spatial Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T22:08:04.700971Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation c84b84c9-beb7-4d1e-927c-fb0bc8bf13ba · inbound
LAST: Leveraging Tools as Hints to Enhance Spatial Reasoning for Multimodal Large Language Models cites this paper.
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
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T23:00:47.753493Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 2ae6e612-d86f-48cd-af6d-69d084997e39 · inbound
ViSRA: A Video-based Spatial Reasoning Agent for Multi-modal Large Language Models cites this paper.
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
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T06:46:35.632369Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 34bfc2b2-2a13-4f1c-b304-398a50681a7e · inbound
CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models cites this paper.
CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T05:28:04.441525Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation d8b1592a-580c-4e30-ae30-f68d7d18df7f · inbound
Flat-Pack Bench: Evaluating Spatio-Temporal Understanding in Large Vision-Language Models through Furniture Assembly cites this paper.
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
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T09:21:20.665146Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation dd3f9979-95c4-4dc4-a1f1-cd4eb25cc115 · inbound
Q-GeoMem: Question-Guided Geometric Memory for Video Spatial Reasoning cites this paper.
Q-GeoMem: Question-Guided Geometric Memory for Video Spatial Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 15
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T18:23:50.980272Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 1920eedb-05f3-40f7-b2e6-3633131927b2 · inbound
Q-GeoMem: Question-Guided Geometric Memory for Video Spatial Reasoning cites this paper.
Q-GeoMem: Question-Guided Geometric Memory for Video Spatial Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T15:54:12.909974Z
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 cites this paper.
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
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T07:53:13.667132Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 29da8a06-3bb5-4983-9a59-bf92699eb05a · inbound
LongSpace: Exploring Long-Horizon Spatial Memory from Perception to Recall in Video cites this paper.
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
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T12:16:57.229619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 3c809614-428b-44b5-80de-97df429d3699 · inbound
Reason, Then Re-reason: Cross-view Revisiting Improves Spatial Reasoning cites this paper.
Reason, Then Re-reason: Cross-view Revisiting Improves Spatial Reasoning STI-Bench: Are MLLMs Ready for Precise Spatial-Temporal World Understanding?
Reference 37
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T08:57:47.477127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 124f1882-f6c3-404f-b165-96ff428db523 · inbound
AirGroundBench: Probing Spatial Intelligence in Multimodal Large Models under Heterogeneous Multi-View Embodied Collaboration cites this paper.
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
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-29T04:43:06.920476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.