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Paper Citation Record · LEDGER

Enriching Location Representation with Detailed Semantic Information

As of 13 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 2026-08-12T06:34:41.77262+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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T11:21:50.806237Z digest=sha256:3ceb7c28f44fbe467855375c266d1ffe4db604cf72b7fac757b0d1ae9d4e373c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T11:21:50.968643Z digest=sha256:1c98f18393b63245ee1ad0b59ba300aabb98f3b55b866d68e4b36f39e2d3068c

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T11:21:51.061887Z digest=sha256:346272fd8bdfd0860bd971f03ba02f0038b6d3fba0b7ffe18a24e1299cf3c2f1

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T11:21:50.023896Z digest=sha256:08f6aad71c393a5fff9ad9fb92e594cc2e2775802d168b85e08c8316dc0c1429

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T11:21:50.671284Z digest=sha256:941aa231a2e4b2f951ab4b8ef5197a655f71d551c6d99575e51f85c49cfba8a9

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T11:21:50.180026Z digest=sha256:fd7f2539641af18fa3572630090da00a3df2e806c5e1ffe260b555dac9183680

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T11:21:50.501523Z digest=sha256:38b6a39ab0476ee528842c84420dd53159fbf8740043dfebf37723de2d60a6e1

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T11:21:50.264236Z digest=sha256:12875bfb46d95b02aa40cb54bb72c3ac8f4406d95b1be3b09449042551e05686

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T11:21:50.356725Z digest=sha256:5afb8523bf26103d5b6e8ff484bde5e0272fe86ba5ae2b8a3bc98b8ae21a7c44

Pith citing papers

No inbound Pith citation observations are available.