Paper Citation Record · LEDGER

A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2504.09848.

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

pith.paper-citation-record.v1
2504.09848 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:59:33.471828Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-04T08:59:43.326702Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
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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 6f59abb2-0476-4a6d-a816-b4485f291313 · inbound

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models cites this paper.

VCRBench: Exploring Long-form Causal Reasoning Capabilities of Large Video Language Models A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T21:59:33.471828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63e634cc-3f6d-401b-8b6a-7b9c6048a956 · inbound

Open-Set Living Need Prediction with Large Language Models cites this paper.

Open-Set Living Need Prediction with Large Language Models A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T11:23:25.790183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a030dcfb-3b62-4f79-8cd5-b941de0a9c60 · inbound

UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding cites this paper.

UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:21.335105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cca4ae80-564a-4a91-92e6-c2b24e52ec20 · inbound

Do MLLMs Really Understand Space? A Mathematical Reasoning Evaluation cites this paper.

Do MLLMs Really Understand Space? A Mathematical Reasoning Evaluation A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-16T03:40:33.010733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 47319752-af94-4932-975c-def75c93ca07 · inbound

How Far Are Large Multimodal Models from Human-Level Spatial Action? A Benchmark for Goal-Oriented Embodied Navigation in Urban Airspace cites this paper.

How Far Are Large Multimodal Models from Human-Level Spatial Action? A Benchmark for Goal-Oriented Embodied Navigation in Urban Airspace A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:25:57.147174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 74693910-09d0-44ed-8b27-7f67d4efc72e · inbound

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap cites this paper.

Vision-and-Language Navigation for UAVs: Progress, Challenges, and a Research Roadmap A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:10:29.647348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d61abc35-7a43-4701-9c77-1672ea97cc24 · inbound

Towards Camera-Robust 3D Localization: Equation-Anchored Tool-Use for MLLMs cites this paper.

Towards Camera-Robust 3D Localization: Equation-Anchored Tool-Use for MLLMs A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:33:05.703873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a07b1104-4ebc-4f99-bc67-9ad0ee0e9afc · inbound

A Tutorial on World Models and Physical AI cites this paper.

A Tutorial on World Models and Physical AI A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-03T13:48:21.437412Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 04d99210-4207-4a32-bd1e-d9babffd4188 · inbound

Lost in Aggregation: A Multi-Scale Diagnostic Benchmark for LLM Spatial Navigation cites this paper.

Lost in Aggregation: A Multi-Scale Diagnostic Benchmark for LLM Spatial Navigation A Survey of Large Language Model-Powered Spatial Intelligence Across Scales: Advances in Embodied Agents, Smart Cities, and Earth Science

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:43.328394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.