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Paper Citation Record · LEDGER

Enriching Location Representation with Detailed Semantic Information

As of 7 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2506.02744.

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

pith.paper-citation-record.v1
2506.02744 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:21:51.061887Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

  • verified exact1
  • verified fuzzy7
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 42014e8c-5626-45a9-aeb2-276c504807e4 · outbound

This paper cites SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery.

Enriching Location Representation with Detailed Semantic Information SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:50.412787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:50.412787Z digest=sha256:d30941272c1f9b7651902c3653c2b088735db9e8c3a377389a4b27f3830dad63

Observation d74bea28-1b56-4914-9fde-ba5a99a83cd9 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

Enriching Location Representation with Detailed Semantic Information Efficient Estimation of Word Representations in Vector Space

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:50.594155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:50.594155Z digest=sha256:38d5e9899018465643373798043c3060a110632dd6d901852a3fceaa099d7a93

Observation 355b5fdc-66ea-4861-b7d6-d8f15cfa6b3f · outbound

This paper cites Glove: Global vectors for word representation.

Enriching Location Representation with Detailed Semantic Information Glove: Global vectors for word representation

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:51.650358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:21:50.806237Z digest=sha256:94bf42e281b09ea2c9f216a7921a8670baf4026e954712d77fec50ebfb82c9f2

Observation f0fdd344-b212-47a9-9e1e-066d2783ff63 · outbound

This paper cites Urbanclip: Learning text-enhanced urban region profiling with contrastive language-image pretraining from the web.

Enriching Location Representation with Detailed Semantic Information Urbanclip: Learning text-enhanced urban region profiling with contrastive language-image pretraining from the web

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:51.528368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:21:50.968643Z digest=sha256:3905fea40be3fbd1c4ffd057f8459ff3c0ac22d915558ea03fc5c6f3e3d118a0

Observation a4d32d67-cbfa-433b-804e-567a005773ca · outbound

This paper cites Beyond word2vec: An approach for urban functional region extraction and identification by combining place2vec and pois.Computers, environment and urban systems, 74:1–12, 2019.

Enriching Location Representation with Detailed Semantic Information Beyond word2vec: An approach for urban functional region extraction and identification by combining place2vec and pois.Computers, environment and urban systems, 74:1–12, 2019

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:51.444132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:21:51.061887Z digest=sha256:62da0f1c79025761f094f13f8c88b28ae2e0cca8d6eabaf06f3d6015ccef444b

Observation 5efdbabe-b883-41fd-902e-ab17d8043691 · outbound

This paper cites GPT-4 Technical Report.

Enriching Location Representation with Detailed Semantic Information GPT-4 Technical Report

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:50.718947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:50.718947Z digest=sha256:0ebc56f6581b88d776931394ac6c1c86da909a6596f23cf5aef3c48ff4eaf4d7

Observation 1931ec0b-3895-4e72-ae4d-d47a112c2d99 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Enriching Location Representation with Detailed Semantic Information LLaMA: Open and Efficient Foundation Language Models

Reference 1972

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:50.884455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:50.884455Z digest=sha256:5c80d5ea6badefe3d0b4ae29308f1a4cf9c76b6b66fc516cbaaeebd10638c49a

Observation b910382e-8da0-4879-a165-470cb811bc88 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,.

Enriching Location Representation with Detailed Semantic Information Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901,

Reference 2003

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:52.132646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:21:50.023896Z digest=sha256:5ec6111c503af95234d4a8901bc803900bdcdc56abee0d63cc4f2d6cea717e2e

Observation 26c58fe4-fca6-4089-b39f-16ee0ab25abb · outbound

This paper cites Sentence-bert: Sentence embeddings using siamese bert- networks.

Enriching Location Representation with Detailed Semantic Information Sentence-bert: Sentence embeddings using siamese bert- networks

Reference 2013

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:51.751000Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:21:50.671284Z digest=sha256:4301d40b2c3477ee52c0a5815f58b55188306d3de8247693d30f75c57bf2b89a

Observation 4ea045e3-334e-4485-9d5c-60d367306238 · outbound

This paper cites Simcse: Simple contrastive learning of sentence embeddings.

Enriching Location Representation with Detailed Semantic Information Simcse: Simple contrastive learning of sentence embeddings

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:52.030853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:21:50.180026Z digest=sha256:d72c2c35cac1ef5e40a95ec11f985ecd80a4ffbdb66adb85328b901cd5bfa81b

Observation 9d8a172e-e121-4160-addc-d4a868891f9d · outbound

This paper cites The Llama 3 Herd of Models.

Enriching Location Representation with Detailed Semantic Information The Llama 3 Herd of Models

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:50.065618Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:50.065618Z digest=sha256:c6ca5d3970ab5b0cbd27d732be87396693812739e8ea2de597769555c3252269

Observation 0ca320b5-99c8-46bd-8abe-12fae7dbf2a8 · outbound

This paper cites an unresolved cited work.

Enriching Location Representation with Detailed Semantic Information Unresolved cited work

Reference 2020

Resolution
unresolved
raw_fallback, observed 2026-08-07T11:21:51.837454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:21:50.501523Z digest=sha256:e0569661b880779e49edfd00f69b74893261c7aa749c24b166c931ea2f021dd2

Observation 960a0404-adc3-4eb5-bc29-06562c3b9b20 · outbound

This paper cites Goodchild.

Enriching Location Representation with Detailed Semantic Information Goodchild

Reference 2021

Resolution
verified exact
doi, observed 2026-08-07T11:21:51.244278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:21:50.264236Z digest=sha256:29b6f40d86c54fa4183c4af14bf28e71b6c7d054aeda9c9993e79020b10000ac

Observation 2eff5d9e-5ba4-4cfe-a19c-ec634064959f · outbound

This paper cites Estimating urban functional distributions with semantics preserved poi embedding.International Journal of Geographical Information Science, 36(10):1905–1930,.

Enriching Location Representation with Detailed Semantic Information Estimating urban functional distributions with semantics preserved poi embedding.International Journal of Geographical Information Science, 36(10):1905–1930,

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T11:21:51.929514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T11:21:50.356725Z digest=sha256:eeb86ef02fb8d487f649a35060dce6417fa0069e518d1a94c8db54356b19e736

Pith citing papers

No inbound Pith citation observations are available.