Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2409.09788.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:21:04.774658Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T08:40:33.016889Z
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 6685021b-79d0-49b0-952d-3f044846202d · inbound
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models cites this paper.
TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:21:04.774658Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 954e5e59-24d8-4f89-94b9-c4744332f726 · inbound
Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models cites this paper.
Multi-SpatialMLLM: Multi-Frame Spatial Understanding with Multi-Modal Large Language Models Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T08:40:33.019619Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 3d0b878b-decd-4ba4-aa6a-ddd4b2b2fafc · inbound
SVQA-R1: Reinforcing Spatial Reasoning in MLLMs via View-Consistent Reward Optimization cites this paper.
SVQA-R1: Reinforcing Spatial Reasoning in MLLMs via View-Consistent Reward Optimization Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T11:55:28.602824Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a84df6a2-a52b-4057-983f-c1a416855eae · inbound
AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making cites this paper.
AntiGrounding: Lifting Robotic Actions into VLM Representation Space for Decision Making Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
Reference 109
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:57:29.933259Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation afe2cfe4-f0be-40a0-bb7a-d577a73a9e4e · inbound
Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation cites this paper.
Embodied-R1: Reinforced Embodied Reasoning for General Robotic Manipulation Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
Reference 21
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T22:06:51.623892Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.
Observation 4183ae05-a85b-43b7-93fd-6fc83eddc123 · inbound
Understanding Space Is Rocket Science -- Only Top Reasoning Models Can Solve Spatial Understanding Tasks cites this paper.
Understanding Space Is Rocket Science -- Only Top Reasoning Models Can Solve Spatial Understanding Tasks Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
Reference 36
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T11:56:09.876720Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ee79cba-ed80-44a7-88c5-e021a0b0d691 · inbound
It's Time to Get It Right: Improving Analog Clock Reading and Clock-Hand Spatial Reasoning in Vision-Language Models cites this paper.
It's Time to Get It Right: Improving Analog Clock Reading and Clock-Hand Spatial Reasoning in Vision-Language Models Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-07-15T13:03:40.459461Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.