Paper Citation Record · LEDGER

Can LLMs Learn to Map the World from Local Descriptions?

As of 15 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 1 inbound Pith citation observation for arXiv:2505.20874.

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

pith.paper-citation-record.v1
2505.20874 v1

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:52:58.551861Z

measured 30 of 30 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T10:37:24.946718Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:59:43.337271Z

Reference resolution

29 of 29 outbound references displayed

verified exact0
verified fuzzy4
unresolved25
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c4a42be4-cb5e-4216-8e17-0795ba5b261f · outbound

This paper cites URL: " 'urlintro :=.

Can LLMs Learn to Map the World from Local Descriptions? URL: " 'urlintro :=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:56.160900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 546e98c2-7abc-4b0b-aa47-ea8d85fccdd8 · outbound

This paper cites write newline.

Can LLMs Learn to Map the World from Local Descriptions? write newline

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:56.269265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e9cb7a0-38a7-4b58-9555-3d24c9612a84 · outbound

This paper cites GPT-4 Technical Report.

Can LLMs Learn to Map the World from Local Descriptions? GPT-4 Technical Report

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:56.390817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9b6c6ce-21f1-40b6-8c72-7535c09ff745 · outbound

This paper cites an unresolved cited work.

Can LLMs Learn to Map the World from Local Descriptions? Unresolved cited work

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:56.510629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e08187d7-6972-40cc-9e26-1f4c74a5dbad · outbound

This paper cites Qwen Technical Report.

Can LLMs Learn to Map the World from Local Descriptions? Qwen Technical Report

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:56.629668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3578266f-0a37-4fb9-a585-a388e13125b6 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Can LLMs Learn to Map the World from Local Descriptions? Evaluating Large Language Models Trained on Code

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:56.718458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc4d2594-df82-4898-92ca-ab4df66c5f55 · outbound

This paper cites an unresolved cited work.

Can LLMs Learn to Map the World from Local Descriptions? Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:53:00.208363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation e9076cc4-4451-4e07-8300-c6317c582b72 · outbound

This paper cites CityGPT: Empowering Urban Spatial Cognition of Large Language Models.

Can LLMs Learn to Map the World from Local Descriptions? CityGPT: Empowering Urban Spatial Cognition of Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:56.982140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a61440e-4786-4aad-b7d6-f4611bb94474 · outbound

This paper cites an unresolved cited work.

Can LLMs Learn to Map the World from Local Descriptions? Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:53:00.029925Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 165c91e3-0083-42ef-a61f-b345847597c4 · outbound

This paper cites Language models represent space and time.

Can LLMs Learn to Map the World from Local Descriptions? Language models represent space and time

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:59.860434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c676be37-34bd-4446-94ca-2ad807a9379e · outbound

This paper cites Linear latent world models in simple transformers: A case study on othello-gpt.

Can LLMs Learn to Map the World from Local Descriptions? Linear latent world models in simple transformers: A case study on othello-gpt

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:59.730546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7bcbf23b-9c64-4c12-9233-634ca9ffdf31 · outbound

This paper cites an unresolved cited work.

Can LLMs Learn to Map the World from Local Descriptions? Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:52:59.598361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation a5c56b34-1037-42df-8427-eae765cc9433 · outbound

This paper cites an unresolved cited work.

Can LLMs Learn to Map the World from Local Descriptions? Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:57.554590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0514a4f3-f413-480c-949a-1092a2a38513 · outbound

This paper cites Hopkins, David Bau, Fernanda B.

Can LLMs Learn to Map the World from Local Descriptions? Hopkins, David Bau, Fernanda B

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:59.457500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d06ca945-cfb5-4e9a-840f-bcd0d4f1e2b8 · outbound

This paper cites STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis.

Can LLMs Learn to Map the World from Local Descriptions? STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:57.697883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63919acd-0d0c-438e-a845-ce99fc693b69 · outbound

This paper cites an unresolved cited work.

Can LLMs Learn to Map the World from Local Descriptions? Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:52:59.325732Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ad9b5ebe-fed0-4ea2-a319-154cbfb2a2ac · outbound

This paper cites From Text to Space: Mapping Abstract Spatial Models in LLMs during a Grid-World Navigation Task.

Can LLMs Learn to Map the World from Local Descriptions? From Text to Space: Mapping Abstract Spatial Models in LLMs during a Grid-World Navigation Task

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:57.811653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f15c1857-8245-4daa-b688-73650a66ecec · outbound

This paper cites an unresolved cited work.

Can LLMs Learn to Map the World from Local Descriptions? Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:52:59.206997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 05ea7304-e47d-42ae-bb48-d33835445022 · outbound

This paper cites an unresolved cited work.

Can LLMs Learn to Map the World from Local Descriptions? Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:57.917280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd09c580-6e9c-4964-a661-4cf3e343f2f5 · outbound

This paper cites an unresolved cited work.

Can LLMs Learn to Map the World from Local Descriptions? Unresolved cited work

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:57.985890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0999c8b7-ea44-48f3-a8a3-ed832eebad3c · outbound

This paper cites Does Spatial Cognition Emerge in Frontier Models?.

Can LLMs Learn to Map the World from Local Descriptions? Does Spatial Cognition Emerge in Frontier Models?

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:58.036491Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 771b1221-fcb3-4839-9a4a-33891a5e6856 · outbound

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

Can LLMs Learn to Map the World from Local Descriptions? DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:58.110733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83521b4e-3e40-4854-b9a4-a58d3fa1468e · outbound

This paper cites an unresolved cited work.

Can LLMs Learn to Map the World from Local Descriptions? Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:52:59.088401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 82f8dd41-f0d6-4f1f-83d2-5df58a700984 · outbound

This paper cites an unresolved cited work.

Can LLMs Learn to Map the World from Local Descriptions? Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:52:58.958681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d7068aaa-6a50-48a7-85c6-dbcca76bb810 · outbound

This paper cites Mind's eye of llms: Visualization-of-thought elicits spatial reasoning in large language models.

Can LLMs Learn to Map the World from Local Descriptions? Mind's eye of llms: Visualization-of-thought elicits spatial reasoning in large language models

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:52:58.856423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0003e636-65ab-47b3-a38d-140f5ff2252d · outbound

This paper cites Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces.

Can LLMs Learn to Map the World from Local Descriptions? Thinking in Space: How Multimodal Large Language Models See, Remember, and Recall Spaces

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:58.330480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 49181b0e-99e0-4f87-bd4d-2170bc7c1547 · outbound

This paper cites Qwen2.5 Technical Report.

Can LLMs Learn to Map the World from Local Descriptions? Qwen2.5 Technical Report

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:58.398894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation adf9ef11-ba35-407a-964b-504ae473c706 · outbound

This paper cites Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions.

Can LLMs Learn to Map the World from Local Descriptions? Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:58.467985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5526500e-8e59-404d-a44f-0f06126a9ef7 · outbound

This paper cites an unresolved cited work.

Can LLMs Learn to Map the World from Local Descriptions? Unresolved cited work

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:52:58.551861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 78f771ad-2542-46aa-bf06-e53db4c93699 · 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 Can LLMs Learn to Map the World from Local Descriptions?

Reference 32

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:59:43.339071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.