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Paper Citation Record · LEDGER

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding

As of 15 August 2026, this Paper Citation Record lists 33 of 33 outbound references and 0 inbound Pith citation observations for arXiv:2607.13454.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2607.13454 v2

Coverage vector

measured 33 of 33 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T05:13:03.048047Z

measured 33 of 33 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Reference resolution

33 of 33 outbound references displayed

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Outbound references

Observation 9f830fba-1192-4c41-a984-bf514729bb13 · outbound

This paper cites SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding SpatialThinker: Reinforcing Scene Graph-Grounded Spatial Reasoning via Dense Rewards

Reference 2

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source=pdf_text observed=2026-08-02T05:12:59.576553Z digest=sha256:740f1dace05ede728b65a0cadeb4601d8d30081a47190f1429d6c91988131ac7

Observation d27a13e4-4883-4a90-b8cd-70b863307daa · outbound

This paper cites Soft tokens, hard truths.arXiv preprint arXiv:2509.19170,.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Soft tokens, hard truths.arXiv preprint arXiv:2509.19170,

Reference 3

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Observation aa696c81-f94e-427b-bca0-b76088feee30 · outbound

This paper cites Scaling spatial intelligence with multimodal foundation models.arXiv preprint arXiv:2511.13719,.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Scaling spatial intelligence with multimodal foundation models.arXiv preprint arXiv:2511.13719,

Reference 4

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Observation 5a937bb6-9ac9-4e67-8d4a-aed2323ec226 · outbound

This paper cites Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding

Reference 6

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source=pdf_text observed=2026-08-02T05:12:59.872051Z digest=sha256:6b74b28fe3226cc089be6abb060b1be7dc41013e5bb32845edb3847ae15d9f31

Observation b5130446-0bca-45bf-bbb3-b20c569965ec · outbound

This paper cites VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction

Reference 9

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source=pdf_text observed=2026-08-02T05:13:00.188880Z digest=sha256:342eb13ca4ce822386df9a49cf6d3e7d1666e91d278f5eeda7b54689b2484bb2

Observation 4b9345b0-2bcf-4a47-8fb6-abcd4d5ca5f1 · outbound

This paper cites Spatial reasoning with vision-language models in ego-centric multi-view scenes.arXiv preprint arXiv:2509.06266,.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Spatial reasoning with vision-language models in ego-centric multi-view scenes.arXiv preprint arXiv:2509.06266,

Reference 10

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source=pdf_text observed=2026-08-02T05:13:00.376667Z digest=sha256:87f7a24754527242a650854e0c13e67af0c3e0a3daa0f8326607d6f592c66fd0

Observation ac685a44-b862-4573-ad0a-9f794319a084 · outbound

This paper cites GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Reference 11

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source=pdf_text observed=2026-08-02T05:13:00.498158Z digest=sha256:07236cf4685e2947e6718d78c1a25eff47518f7d2a65f6ef1ea52254ee9417b5

Observation 2d19e706-2726-4381-9de0-7ee0b2d129a1 · outbound

This paper cites G2vlm: Geometry grounded vision language model with unified 3d reconstruction and spatial reasoning.arXiv preprint arXiv:2511.21688,.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding G2vlm: Geometry grounded vision language model with unified 3d reconstruction and spatial reasoning.arXiv preprint arXiv:2511.21688,

Reference 12

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Observation 1c0d6f58-dbcb-4685-abaa-a65754c6ac6c · outbound

This paper cites GPT-4o System Card.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding GPT-4o System Card

Reference 13

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source=pdf_text observed=2026-08-02T05:13:00.745381Z digest=sha256:1a896f4cfd8c8afef6c8a727df086fa1a663d2cd1d304405293d8f49c3ca8b46

Observation 6da3774b-50c6-4122-837f-87c520cd1b58 · outbound

This paper cites EMMA: End-to-End Multimodal Model for Autonomous Driving.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding EMMA: End-to-End Multimodal Model for Autonomous Driving

Reference 14

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Observation 3af0ba7c-f356-4699-b51e-a54e6684747e · outbound

This paper cites OpenVLA: An Open-Source Vision-Language-Action Model.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding OpenVLA: An Open-Source Vision-Language-Action Model

Reference 15

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source=pdf_text observed=2026-08-02T05:13:01.022685Z digest=sha256:b58d30c6a5ea3a2b4c8ea511132923482f6fbfa3d67fc6b6d23a7359553e5ff1

Observation 012478ce-c84e-46e1-8077-4b2acc060b98 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Adam: A Method for Stochastic Optimization

Reference 16

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source=pdf_text observed=2026-08-02T05:13:01.124562Z digest=sha256:aab8ef5d5b98c6f4bc013c60333f8f586dfea687f01e0a6cf0a99ff1c9d4f345

Observation d1ac438b-264c-493e-8971-c79ff0cd1555 · outbound

This paper cites Ssr: Enhancing depth perception in vision-language models via rationale-guided spatial reasoning.arXiv preprint arXiv:2505.12448, 2025a.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Ssr: Enhancing depth perception in vision-language models via rationale-guided spatial reasoning.arXiv preprint arXiv:2505.12448, 2025a

Reference 18

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Observation cb81cc5e-792d-4694-afd4-d8e4f90e70d1 · outbound

This paper cites SpaceR: Reinforcing MLLMs in Video Spatial Reasoning.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding SpaceR: Reinforcing MLLMs in Video Spatial Reasoning

Reference 19

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source=pdf_text observed=2026-08-02T05:13:01.445112Z digest=sha256:360ef1dfb629bad1532f859ac15d863aef2c70608d53638c6fe3e1ba8e9d919c

Observation 83169f78-f8d3-4613-8a7f-aabc70c93337 · outbound

This paper cites FAST: Efficient Action Tokenization for Vision-Language-Action Models.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding FAST: Efficient Action Tokenization for Vision-Language-Action Models

Reference 20

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source=pdf_text observed=2026-08-02T05:13:01.546395Z digest=sha256:af4d83f052de29ffa606eee02b5dbc7b9aff16354d48a2b73dd8fb2da665fabb

Observation e85cf415-e08d-4e57-a700-d08da279d0c3 · outbound

This paper cites Chain-of-visual-thought: Teaching vlms to see and think better with continuous visual tokens.arXiv preprint arXiv:2511.19418,.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Chain-of-visual-thought: Teaching vlms to see and think better with continuous visual tokens.arXiv preprint arXiv:2511.19418,

Reference 21

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source=pdf_text observed=2026-08-02T05:13:01.670170Z digest=sha256:da0f56f9f9ca0488a257a602d81e7d02d0ab96688c0e66f4e0f4262f8b379a1d

Observation b63b2438-1afb-4c6e-bf3e-4e3b25b09365 · outbound

This paper cites Mull-Tokens: Modality-Agnostic Latent Thinking.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Mull-Tokens: Modality-Agnostic Latent Thinking

Reference 22

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source=pdf_text observed=2026-08-02T05:13:01.783341Z digest=sha256:fdbc2150ab8e5d4c29a3106776d9a6641f59119001a286fc1ef9c10802fd0742

Observation 65accdca-c282-4c11-b649-9d46eeaec6f1 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 23

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source=pdf_text observed=2026-08-02T05:13:01.920551Z digest=sha256:f198bb77a24465b148e7564dc8c77a5b365426326cc98a892d72876f5777385c

Observation 84afe5c0-7bd6-4162-9ebc-116d2bfc2af5 · outbound

This paper cites Codi: Compressing chain-of-thought into continuous space via self-distillation.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Codi: Compressing chain-of-thought into continuous space via self-distillation

Reference 24

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source=pdf_text observed=2026-08-02T05:13:02.063237Z digest=sha256:c5fc193d10a19d7b29837ffeb698ec79d47cd13c1a4d56832e4b20c31813804b

Observation d577dd1f-b3ce-4a15-a634-c20e2d2f125b · outbound

This paper cites Kimi-VL Technical Report.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Kimi-VL Technical Report

Reference 25

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source=pdf_text observed=2026-08-02T05:13:02.171088Z digest=sha256:262e11e2e8d8521b3f0e20fed81a7608e846764ebdf686a01616e7591de16d86

Observation a362f8e3-357b-4a03-bca3-a3ac9684237d · outbound

This paper cites Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Spatial-MLLM: Boosting MLLM Capabilities in Visual-based Spatial Intelligence

Reference 27

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Observation 46687d1a-b2bc-461c-9825-60bfcf0a2c87 · outbound

This paper cites Qwen3 Technical Report.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Qwen3 Technical Report

Reference 28

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Observation 79f04a1f-99e6-4ac1-8df3-3fe1e8824fc0 · outbound

This paper cites Hybrid latent reasoning via reinforcement learning.arXiv preprint arXiv:2505.18454,.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Hybrid latent reasoning via reinforcement learning.arXiv preprint arXiv:2505.18454,

Reference 30

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Observation 3c1693b7-4b09-4a07-badc-558dd47c46d3 · outbound

This paper cites Actial: Activate spatial reasoning ability of multimodal large language models.arXiv preprint arXiv:2511.01618,.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Actial: Activate spatial reasoning ability of multimodal large language models.arXiv preprint arXiv:2511.01618,

Reference 31

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source=pdf_text observed=2026-08-02T05:13:02.842600Z digest=sha256:6676bd9d8fa1459bef0c5e6caf1bc25d5e0908a0156ea8ecd3aa471aec030f5a

Observation a058b1e4-6c2f-4787-8c1f-888e75b5b47c · outbound

This paper cites Spatial understanding from videos: Structured prompts meet simulation data.arXiv preprint arXiv:2506.03642, 2025a.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Spatial understanding from videos: Structured prompts meet simulation data.arXiv preprint arXiv:2506.03642, 2025a

Reference 32

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Observation c498deb9-e932-494f-8210-163f23dcd107 · outbound

This paper cites Vggt: Visual geometry grounded transformer.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Vggt: Visual geometry grounded transformer

Reference 2008

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Observation 84c5eb08-11f7-462e-a2b1-a56bb58fe48d · outbound

This paper cites Latent Visual Reasoning.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Latent Visual Reasoning

Reference 2014

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source=pdf_text observed=2026-08-02T05:13:01.210403Z digest=sha256:2492277ce578dc7beefd883dd1449d713a1380e8bf5a93122fd9f118d8316f67

Observation 80401e07-62d6-4c6b-a4ef-94dacd8b316f · outbound

This paper cites Graid: Enhancing spatial reasoning of vlms through high-fidelity data generation.arXiv preprint arXiv:2510.22118,.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Graid: Enhancing spatial reasoning of vlms through high-fidelity data generation.arXiv preprint arXiv:2510.22118,

Reference 2017

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source=pdf_text observed=2026-08-02T05:13:00.020117Z digest=sha256:b622b4445c9b6764ebb21fb4c160314ae8ab697c96d2d6fe046c3a114d147637

Observation 63c4b4d8-06fe-4a29-b3fd-6626344d05cb · outbound

This paper cites Opendrivevla: Towards end-to-end autonomous driving with large vision language action model.arXiv preprint arXiv:2503.23463,.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Opendrivevla: Towards end-to-end autonomous driving with large vision language action model.arXiv preprint arXiv:2503.23463,

Reference 2020

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source=pdf_text observed=2026-08-02T05:13:03.048047Z digest=sha256:006a6cdc41e96aebec5c5b1d95d9a15d3745381eb248f34dd87d09aebc6c8b94

Observation f1baf7cb-ef3d-40fe-88c4-3094ca8bbabe · outbound

This paper cites MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding MiniCPM-V 4.5: Cooking Efficient MLLMs via Architecture, Data, and Training Recipe

Reference 2023

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Observation 1b1fa2a2-9bac-4603-af20-2f64ab9fd959 · outbound

This paper cites Think with 3d: Geometric imagination grounded spatial reasoning from limited views.arXiv preprint arXiv:2510.18632,.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Think with 3d: Geometric imagination grounded spatial reasoning from limited views.arXiv preprint arXiv:2510.18632,

Reference 2024

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Observation 4558eb28-bc29-4053-b55c-2fcfc8cfab53 · outbound

This paper cites LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding LLaVA-OneVision-1.5: Fully Open Framework for Democratized Multimodal Training

Reference 2025

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Observation 1bf4be5f-a395-4788-b00b-d8cc8d28b629 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

GeoAnchor: Collaborative Reasoning via Latent Decomposition for 3D Spatial Understanding Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 2026

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Pith citing papers

No inbound Pith citation observations are available.