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Paper Citation Record · LEDGER

SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2307.01646.

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

pith.paper-citation-record.v1
2307.01646 v4

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 2026-08-07T05:14:34.775259Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:09:43.090600Z

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 8be9468f-c827-492b-84d6-ffd6b17ee269 · inbound

TrajFlow: Multi-modal Motion Prediction via Flow Matching cites this paper.

TrajFlow: Multi-modal Motion Prediction via Flow Matching SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T05:14:34.775259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:14:34.775259Z digest=sha256:37326d9f54fc20549a6e3ecd8931c5bf8c7a24c948d56ef98dd4377f44b0aaf1

Observation adea071c-f83a-4c74-a111-b0cf0f8ef389 · inbound

Modular Diffusion Models for Structured Visual Recognition cites this paper.

Modular Diffusion Models for Structured Visual Recognition SwinGNN: Rethinking Permutation Invariance in Diffusion Models for Graph Generation

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:09:43.092494Z

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=2026-06-26T10:29:04.711627Z digest=sha256:f2f65dddf975130d63739cc45824e696a596c64fc865bb43e637f68c0c628798