Pith. sign in

Paper Citation Record · LEDGER

Generative Modelling of Structurally Constrained Graphs

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2406.17341.

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

pith.paper-citation-record.v1
2406.17341 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 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 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:08:18.238366Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T08:26:24.299655Z

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 8309a297-f087-44ff-abb4-e7ef361d475a · inbound

A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules cites this paper.

A collaborative constrained graph diffusion model for the generation of realistic synthetic molecules Generative Modelling of Structurally Constrained Graphs

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T15:08:18.238366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:08:18.238366Z digest=sha256:a30f61b85d583364d79d80262d9bdaeee954c418f8e1a79776a9518159fed87a

Observation 0bd4430f-d905-4285-966d-f37cb2f4e0af · inbound

Fine-Grained Graph Generation through Latent Mixture Scheduling cites this paper.

Fine-Grained Graph Generation through Latent Mixture Scheduling Generative Modelling of Structurally Constrained Graphs

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:40:42.770441Z

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=arxiv_source observed=2026-05-08T18:12:09.926218Z digest=sha256:cb69869a0a7051d6aa7b2fbe33fd946fae9d7ec4cfb3ba12e59a74c34183587e

Observation 67ef7cba-5d2f-4ba7-8c58-a92bbb1b70be · inbound

Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models cites this paper.

Built Environment Reasoning from Remote Sensing Imagery Using Large Vision--Language Models Generative Modelling of Structurally Constrained Graphs

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:26:24.302420Z

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=arxiv_source observed=2026-05-12T01:10:24.579325Z digest=sha256:3bfa34ab4f8f6fc7930956dfbd716194a5a5cc519d69faef7049dfd50c5355e8