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Paper Citation Record · LEDGER

ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2403.01738.

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

pith.paper-citation-record.v1
2403.01738 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 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:07:26.080678Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T15:40:30.063431Z

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 fe57e04c-0135-4b58-9b20-1c4c4eb2c200 · inbound

Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors cites this paper.

Noise Matters: Diffusion Model-based Urban Mobility Generation with Collaborative Noise Priors ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-11T21:07:26.080678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:07:26.080678Z digest=sha256:3b245cc2170ad57e196485df6b7d754c578f66dd2e1cdd0a2563993ad0a2fae9

Observation 62c5d2cf-8e7c-4330-9f56-015f755a2b3f · inbound

Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction cites this paper.

Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic Prediction ComS2T: A complementary spatiotemporal learning system for data-adaptive model evolution

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-08-10T15:40:30.069942Z

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=2026-08-10T15:40:30.027671Z digest=sha256:f1b606cc9dcea0616f854c8aa395ef3227ca3cf95d272b64b532587269ca48db