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Paper Citation Record · LEDGER

Combinatorial optimization and reasoning with graph neural networks

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2102.09544.

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

pith.paper-citation-record.v1
2102.09544 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:33:49.172747Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T07:09:37.910363Z

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 490de120-0674-4396-a3fa-9bf89ab1ba42 · inbound

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges cites this paper.

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges Combinatorial optimization and reasoning with graph neural networks

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:39:29.545618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T02:39:29.411021Z digest=sha256:2fcabb8b9fb91ce857e03b5a4a76c8f682c76a07db4fcb3314c87aba81d69825

Observation 0596f00e-5b4f-483b-9c2b-e3c84febd84d · inbound

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks cites this paper.

Beyond Interpolation: Extrapolative Reasoning with Reinforcement Learning and Graph Neural Networks Combinatorial optimization and reasoning with graph neural networks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T00:33:49.172747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T00:33:49.172747Z digest=sha256:c90e2153acca9e93d9598f540b11000c89c298a04018a9aa70b079286d519db7

Observation f5bb01e3-2d83-4356-bf1b-c050f15eed65 · inbound

A Distance Metric for Mixed Integer Programming Instances cites this paper.

A Distance Metric for Mixed Integer Programming Instances Combinatorial optimization and reasoning with graph neural networks

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T17:23:43.190921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:23:43.190921Z digest=sha256:ec6300cb9d974cd518ff92ccab64c2d3a04adf36dfa14c404507106417a8239c

Observation 2463d6de-a3d6-4c19-bc34-721bbb966286 · inbound

Learning Dynamic Graph Representations through Timespan View Contrasts cites this paper.

Learning Dynamic Graph Representations through Timespan View Contrasts Combinatorial optimization and reasoning with graph neural networks

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-06-29T19:03:51.137694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T19:03:07.734440Z digest=sha256:c849aaf37e2c4b52a78ac4003461fbf2c30cb5b1b0a7c75c9dabd9374d5aebd5

Observation 3f2fa3b4-17ff-4c40-ba97-f7fba0cc5f78 · inbound

A note on the convergence guarantees of RLT-based algorithms for polynomial optimization cites this paper.

A note on the convergence guarantees of RLT-based algorithms for polynomial optimization Combinatorial optimization and reasoning with graph neural networks

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-07-04T07:09:37.911713Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-26T13:44:16.025930Z digest=sha256:c85e6265508873551a784c4fa908fc02f360b0597818c26cc6c61a71cce700be