Paper Citation Record · LEDGER

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement

As of 10 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 2 inbound Pith citation observations for arXiv:2508.04080.

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

pith.paper-citation-record.v1
2508.04080 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T01:00:00.582825Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T15:55:29.780557Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T12:16:57.264007Z

Reference resolution

28 of 28 outbound references displayed

verified exact0
verified fuzzy14
unresolved14
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation ab7018c7-6f93-4c72-960b-77e20b80712e · outbound

This paper cites Mapgpt: an autonomous framework for mapping by integrating large language model and cartographic tools.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Mapgpt: an autonomous framework for mapping by integrating large language model and cartographic tools

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:03.992016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e997f37d-bb7e-4e0a-821b-d4afc5237502 · outbound

This paper cites Advancing spatial reasoning in large language models: An in-depth evaluation and enhancement using the stepgame benchmark.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Advancing spatial reasoning in large language models: An in-depth evaluation and enhancement using the stepgame benchmark

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:03.818712Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3fcfa545-3e7c-422e-aec6-c7f5d315c928 · outbound

This paper cites Spatialrgpt: Grounded spatial reasoning in vision-language models.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Spatialrgpt: Grounded spatial reasoning in vision-language models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T00:59:58.453711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d8379e2d-f9a2-41a4-82da-bdce57530394 · outbound

This paper cites Large language models are geographically biased.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Large language models are geographically biased

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:03.715856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e767b45d-df6a-44c2-a161-967c87eb0f2c · outbound

This paper cites Making pre-trained language models better few-shot learners.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Making pre-trained language models better few-shot learners

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:03.515242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 525f3b82-9c69-4540-ae9f-3a1d05091183 · outbound

This paper cites an unresolved cited work.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T01:00:03.390813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 473b2d99-8584-4f1c-a250-45d59ca1a80d · outbound

This paper cites Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T00:59:58.816388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 949290af-e3b8-4fed-b029-df0436744d6b · outbound

This paper cites Madaan, N.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Madaan, N

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:03.264174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation dc5e15e9-3ebc-4eeb-86e4-da8fe01b41f0 · outbound

This paper cites Camel: Communicative agents for" mind" exploration of large language model society.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Camel: Communicative agents for" mind" exploration of large language model society

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T00:59:58.967461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 81bd74df-c8a9-4db3-9c47-7b25140ed78f · outbound

This paper cites an unresolved cited work.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-06T01:00:03.107539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4fa57343-a358-4cd5-9ddb-422d9e2ac5cb · outbound

This paper cites A computer movie simulating urban growth in the detroit region.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement A computer movie simulating urban growth in the detroit region

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T00:59:59.124358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccbf5412-4d52-499f-b391-a7c9825f7686 · outbound

This paper cites an unresolved cited work.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-06T01:00:02.924158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f31a9fa3-9502-4ae0-95aa-17753926cd1d · outbound

This paper cites The theory of regionalised variables and its applications.Les Cahiers du Centre de Morphologie Mathématique, 5:212, 1971.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement The theory of regionalised variables and its applications.Les Cahiers du Centre de Morphologie Mathématique, 5:212, 1971

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:02.793908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4a4a20cb-564b-44cd-9a3c-117d829aa37f · outbound

This paper cites Urbangpt: Spatio-temporal large language models.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Urbangpt: Spatio-temporal large language models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:02.573822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 53868bbf-be0c-42a4-a2a2-53ae4725929e · outbound

This paper cites Lobell, and Stefano Ermon.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Lobell, and Stefano Ermon

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:02.445357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 261c73b5-9945-4bad-8bc4-5bc736f58cb3 · outbound

This paper cites GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T00:59:59.462365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecbbf4b8-335a-452e-b58c-6ab262b75ef6 · outbound

This paper cites K2: A foundation language model for geoscience knowledge understanding and utilization.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement K2: A foundation language model for geoscience knowledge understanding and utilization

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:02.282339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 704d5a3b-622c-4f96-8729-798bf2bbc3c2 · outbound

This paper cites Gurnee and M.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Gurnee and M

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:02.160881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation b0797427-fa52-49ca-937b-e1f0a458d817 · outbound

This paper cites Are large language models geospatially knowl- edgeable? In Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, pages 1–4, 2023.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Are large language models geospatially knowl- edgeable? In Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, pages 1–4, 2023

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:02.000843Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 45d02d67-2d08-4bac-a2b3-81e15eb078e8 · outbound

This paper cites React: Synergizing reasoning and acting in language models.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement React: Synergizing reasoning and acting in language models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T00:59:59.850159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 175409cf-b4a8-46db-b780-e4725388189b · outbound

This paper cites Shinn, F.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Shinn, F

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:01.826142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7c44a2a5-b5aa-44e9-a8ec-bce9fa188723 · outbound

This paper cites Cognitive Architectures for Language Agents.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Cognitive Architectures for Language Agents

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T00:59:59.963957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4be25600-56af-46ce-8ee4-c93086181d16 · outbound

This paper cites The proof and measurement of association between two things.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement The proof and measurement of association between two things

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:00.059116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 335e9117-9d5e-4d7b-9613-5cc37240204f · outbound

This paper cites Kummu, M.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Kummu, M

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:01.620005Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 34c15e29-bc56-4e3e-88f3-914e2384b8b2 · outbound

This paper cites an unresolved cited work.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-06T01:00:01.450763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7fd898b1-67f5-41f6-a226-e4fb014b8187 · outbound

This paper cites Training language models to follow instructions with human feedback.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Training language models to follow instructions with human feedback

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T01:00:00.308931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2242b2d3-254f-4214-a113-af7dd82c647d · outbound

This paper cites an unresolved cited work.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-06T01:00:01.184803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 60f426d5-6fae-437d-9f56-f1fc11c5ec53 · outbound

This paper cites Zhang, Han Bao, Hanwei Xu, Haocheng Wang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J.

GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement Zhang, Han Bao, Hanwei Xu, Haocheng Wang, Haowei Zhang, Honghui Ding, Huajian Xin, Huazuo Gao, Hui Li, Hui Qu, J

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T01:00:00.852991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

Observation f62ac9f7-cbd5-4eed-8eec-33f3fd5a0f81 · inbound

CangLing-KnowFlow: A Unified Knowledge-and-Flow-fused Agent for Comprehensive Remote Sensing Applications cites this paper.

CangLing-KnowFlow: A Unified Knowledge-and-Flow-fused Agent for Comprehensive Remote Sensing Applications GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-03T15:55:29.780557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85456a01-11e4-4fd0-9036-0b3372e66091 · inbound

LongSpace: Exploring Long-Horizon Spatial Memory from Perception to Recall in Video cites this paper.

LongSpace: Exploring Long-Horizon Spatial Memory from Perception to Recall in Video GeoSR: Cognitive-Agentic Framework for Probing Geospatial Knowledge Boundaries via Iterative Self-Refinement

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-07-02T12:16:57.265481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.