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Paper Citation Record · LEDGER

G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2304.01559.

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

pith.paper-citation-record.v1
2304.01559 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T19:09:57.854692Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:53:14.956704Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1b2d85d6-dc55-4f90-851b-c4cf7cc32c2b · inbound

AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics Data cites this paper.

AddrLLM: Address Rewriting via Large Language Model on Nationwide Logistics Data G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-12T19:09:57.854692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T19:09:57.854692Z digest=sha256:b91aa7fd877f54abfd5e6932869d0a61f8b23eb81e7757fa32e6c6184a4e9688

Observation 93f31111-2c9d-4268-8ad7-fb7e7f5cf658 · inbound

PlaceRep: Geospatial Place Representation Learning from Large-Scale Point-of-Interest Data cites this paper.

PlaceRep: Geospatial Place Representation Learning from Large-Scale Point-of-Interest Data G2PTL: A Pre-trained Model for Delivery Address and its Applications in Logistics System

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:53:14.960579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-06T22:53:14.842609Z digest=sha256:637612e2b2ad0d01df3ede672035c004caf01e773de8c0f6896cffa6458365d2