Paper Citation Record · LEDGER

TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2410.06234.

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

pith.paper-citation-record.v1
2410.06234 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:39:41.729658Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:47:59.420129Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 bb7f8507-1658-4704-845c-110ed6a0b86d · inbound

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.729658Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b837ee10-fd68-4969-a7c7-5ae3e609ebc5 · inbound

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling cites this paper.

Remote Sensing Large Vision-Language Model: Semantic-augmented Multi-level Alignment and Semantic-aware Expert Modeling TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T22:22:40.225645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 57381278-8928-4fa2-bd2c-0c0df261d55d · inbound

GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields cites this paper.

GeoProg3D: Compositional Visual Reasoning for City-Scale 3D Language Fields TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T21:49:43.614807Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 09dde30f-882b-419e-83a3-f1e85ca77997 · inbound

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs cites this paper.

VectorLLM: Human-like Extraction of Structured Building Contours vis Multimodal LLMs TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-06T19:46:12.200812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 24e83631-7f33-4e8b-97d0-9071538eb8cf · inbound

MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing cites this paper.

MONITRS: Multimodal Observations of Natural Incidents Through Remote Sensing TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T15:18:30.438046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a8afb4f6-91a7-4a68-b52e-b1efd9e1f664 · inbound

ChatENV: An Interactive Vision-Language Model for Sensor-Guided Environmental Monitoring and Scenario Simulation cites this paper.

ChatENV: An Interactive Vision-Language Model for Sensor-Guided Environmental Monitoring and Scenario Simulation TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-18T23:16:54.051940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation cbb62c6d-dcd2-4cf7-aac8-02939eb57b81 · inbound

A Multi-Agent Feedback System for Detecting and Describing News Events in Satellite Imagery cites this paper.

A Multi-Agent Feedback System for Detecting and Describing News Events in Satellite Imagery TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:21:01.020395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7787b9ef-5e36-4327-b64e-853362002c76 · inbound

Decoding the Delta: Unifying Remote Sensing Change Detection and Understanding with Multimodal Large Language Models cites this paper.

Decoding the Delta: Unifying Remote Sensing Change Detection and Understanding with Multimodal Large Language Models TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:05:25.158921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation a86f4387-a4b8-4769-b96e-04165647db98 · inbound

RemoteShield: Enable Robust Multimodal Large Language Models for Earth Observation cites this paper.

RemoteShield: Enable Robust Multimodal Large Language Models for Earth Observation TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-10T06:51:46.209193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 3d218436-c008-4094-8fd9-d70948723af2 · inbound

SenseBench: A Benchmark for Remote Sensing Low-Level Visual Perception and Description in Large Vision-Language Models cites this paper.

SenseBench: A Benchmark for Remote Sensing Low-Level Visual Perception and Description in Large Vision-Language Models TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:46:34.863017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation be872aff-c626-488f-baf7-5eeda1458009 · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-05-14T22:08:03.713399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7a11f5f7-d29c-4559-91d8-33e182fbb671 · inbound

Earth Science Foundation Models: From Perception to Reasoning and Discovery cites this paper.

Earth Science Foundation Models: From Perception to Reasoning and Discovery TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 66

Resolution: verified exact; arxiv_id, observed 2026-07-01T13:35:46.071920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c82c72d1-7750-4ef2-9baf-4b83a42d4a3b · inbound

HiSem: Hierarchical Semantic Disentangling for Remote Sensing Image Change Captioning cites this paper.

HiSem: Hierarchical Semantic Disentangling for Remote Sensing Image Change Captioning TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 64

Resolution: verified exact; arxiv_id, observed 2026-07-01T14:25:46.710912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 157f3215-8ae6-4dbc-b018-a66da962d5be · inbound

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA cites this paper.

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 141

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T09:47:59.421468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 51439e4c-ecde-4696-9cf7-84bd7dea80e5 · inbound

RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioning cites this paper.

RSICCLLM: A Multimodal Large Language Model for Remote Sensing Image Change Captioning TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T17:05:51.445054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation c9cf22f5-9095-4d51-b9d7-a94a8ace439f · inbound

GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing cites this paper.

GeoChrono: Benchmarking and Rethinking Long-Term Temporal Understanding in Remote Sensing TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T22:27:20.332694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c57608d3-d131-4995-8b1c-eff11246edac · inbound

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing cites this paper.

SkyVLaM: Multimodal Large Language Model for UAV Video Understanding in Remote Sensing TEOChat: A Large Vision-Language Assistant for Temporal Earth Observation Data

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T18:11:01.580630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.