Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2312.10763.
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 2026-08-14T06:32:32.682623+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T20:13:47.567689Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T04:29:35.010933Z
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 62d54556-1cd8-4495-b52c-8ad13ca17375 · inbound
Chimera: Improving Generalist Model with Domain-Specific Experts cites this paper.
Chimera: Improving Generalist Model with Domain-Specific Experts M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts
Reference 34
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T20:13:47.567689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation eee39098-8ea1-41d1-b008-39a1254eb64b · inbound
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey cites this paper.
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts
Reference 233
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T14:59:02.181300Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 07817db4-8c03-4b1e-8a8b-d1cbaa8fcf45 · inbound
ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding cites this paper.
ViGiL3D: A Linguistically Diverse Dataset for 3D Visual Grounding M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T22:32:38.690741Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4efc0c83-5b3f-4efa-8c3d-00d290f0dc75 · inbound
Embodied Intelligence for 3D Understanding: A Survey on 3D Scene Question Answering cites this paper.
Embodied Intelligence for 3D Understanding: A Survey on 3D Scene Question Answering M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T19:24:17.739557Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8e99d525-c8b2-4ed6-b2df-15ce5abbc5c7 · inbound
Spatial 3D-LLM: Exploring Spatial Awareness in 3D Vision-Language Models cites this paper.
Spatial 3D-LLM: Exploring Spatial Awareness in 3D Vision-Language Models M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T15:14:16.919372Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 33d6404e-0cbb-4f70-9f7c-e847df3e248b · inbound
SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks cites this paper.
SpatialWorld: Benchmarking Interactive Spatial Reasoning of Multimodal Agents in Real-World Tasks M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts
Reference 37
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T01:27:30.616917Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d5622c10-0963-4d86-bd7f-65899609f03d · inbound
Scaling Diverse Language Generation for 3D Visual Grounding cites this paper.
Scaling Diverse Language Generation for 3D Visual Grounding M3DBench: Let's Instruct Large Models with Multi-modal 3D Prompts
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T04:29:35.012730Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.