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Paper Citation Record · LEDGER

A Trajectory K-Anonymity Model Based on Point Density and Partition

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.16849.

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

pith.paper-citation-record.v1
2307.16849 v1

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 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:14:26.417235Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T04:20:59.381017Z

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 aa58c64f-44cf-4884-83f7-41d10353673c · inbound

PixelNav: Towards Model-based Vision-Only Navigation with Topological Graphs cites this paper.

PixelNav: Towards Model-based Vision-Only Navigation with Topological Graphs A Trajectory K-Anonymity Model Based on Point Density and Partition

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T13:14:26.417235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:14:26.417235Z digest=sha256:28d92e5243b01ac629d5ac556f9859aaa157ca6b067a23e23fdd1b87486882eb

Observation 609b32c4-cf77-4e2b-8150-3d45078a48b3 · inbound

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations cites this paper.

TRAJGANR: Trajectory-Centric Urban Multimodal Learning via Geospatially Aligned Neural Representations A Trajectory K-Anonymity Model Based on Point Density and Partition

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-05-11T04:20:59.387910Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-11T01:27:50.566355Z digest=sha256:217a352b758cc032fde65042a5e6acbbf232214908b4b8c3ddf8d3912281d6fe