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Paper Citation Record · LEDGER

Enriching Location Representation with Detailed Semantic Information

As of 11 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 2026-08-11T06:34:44.6726+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=sha256:509efe725489ef81eb97c0a7bb9861235a1a4f8298b876340a79e7760e16d71d

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=sha256:2b58ce03e7d906cdd6a0d44d519e7559fb5b95a0d6835f9428eee4a1e87bdd6a

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T11:21:50.806237Z digest=sha256:5979a673bd7d9589e8172ac592f1ce64b1cd99ecc198d558f759ab239a42ce7f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T11:21:50.968643Z digest=sha256:6e960c4832ee476e3ecaab7c792ec88b3a777a9cac2e7805787c6f9d25951d7f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T11:21:51.061887Z digest=sha256:3f9eb5797c377ad492144b0412fde2c701385cf6f57561980a7e6813f983585b

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:f1c090b83b586f8d09151b86cebb0d8c7353b98962672495bba71618a1037e7e

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:ba2e1ab7c1452d21bf6d61039852c22b7038ead207790db3ae4af58379e216d3

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T11:21:50.023896Z digest=sha256:a3db0a7945bfeb8815f75b6e745ba29bbb4f4194b0c6645d2962ac4e30d466c8

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T11:21:50.671284Z digest=sha256:baa4dee4c947cf42288ec3d9ee1190f562e5afcb2ae3bcd5e0cc9eacedabc17f

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T11:21:50.180026Z digest=sha256:04ab55e7270c1502a21bdda281a224b1d71e23666769d02f1542a2f036f85116

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=sha256:65a63ca3ec9c18c9ff0d22c2fe3025031aeb0680637b5d372e1973ccf28ba76c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T11:21:50.501523Z digest=sha256:572c342de95b378a4c51d7664f01ae5e1f758fbd12becef0d7ee5a01cc03d4c4

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T11:21:50.264236Z digest=sha256:44ee220566cbedd7777a5c58a3ea6cebd8947d984690c0ed888a7ab2fde7c006

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-07T11:21:50.356725Z digest=sha256:056616c8ff7dc44be0872fb2738ec7e9aba948b0957de0b329abfb2b754fdfb5

Pith citing papers

No inbound Pith citation observations are available.