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Paper Citation Record · LEDGER

A Large-Scale Database for Graph Representation Learning

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2011.07682.

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

pith.paper-citation-record.v1
2011.07682 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:45:14.103994Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T17:17:14.981156Z

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 615b88e9-8ffc-4316-a112-98a7da74687f · inbound

Aster: Enhancing LSM-structures for Scalable Graph Database cites this paper.

Aster: Enhancing LSM-structures for Scalable Graph Database A Large-Scale Database for Graph Representation Learning

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T21:05:01.867783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:05:01.867783Z digest=sha256:fd54ef751fac1a7de785f63ee8c1a7a73e41d3ee025b5f9d95e737bb7e637577

Observation 09ddf80d-0821-4763-bc5e-80d73f0f483f · inbound

GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture cites this paper.

GraphMinNet: Learning Dependencies in Graphs with Light Complexity Minimal Architecture A Large-Scale Database for Graph Representation Learning

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-09T19:38:34.671540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T19:38:34.671540Z digest=sha256:065dcc660e193666a6583c267bd6f52b4adc06378f274323f837f9b10651e632

Observation 5f848853-0283-465d-a43a-cf55dba0fd7d · inbound

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification cites this paper.

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification A Large-Scale Database for Graph Representation Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T20:45:14.103994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:45:14.103994Z digest=sha256:1fd7cf9f14c89bdcad262c5841fdfde814103176f81aedf661253cbdc3400102

Observation 011ab122-7ee4-46d1-9f0c-a77f92bc4a61 · inbound

HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis cites this paper.

HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis A Large-Scale Database for Graph Representation Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T11:56:53.330163Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:56:53.330163Z digest=sha256:673bc3ac6c67fed375762f35e4be27e13f876f31e74d04ec7f3fbd06f13bff20

Observation ecc698e1-d433-4b6d-b121-f96bf8161319 · inbound

Signal-Based Malware Classification Using 1D CNNs cites this paper.

Signal-Based Malware Classification Using 1D CNNs A Large-Scale Database for Graph Representation Learning

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-04T23:32:51.493573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T23:32:51.493573Z digest=sha256:e7e33e8f67bfe95c2ca0f000ee3ffeaad153e3c293201b76132b7e6606ed3130

Observation f0093724-6688-44ba-8153-9a7286889d33 · inbound

AMD-FCG: An Enhanced Function Call Graph Dataset with Integrated Topological Features for Malware Detection and Classification cites this paper.

AMD-FCG: An Enhanced Function Call Graph Dataset with Integrated Topological Features for Malware Detection and Classification A Large-Scale Database for Graph Representation Learning

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-02T17:17:14.982389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-27T22:05:54.839760Z digest=sha256:618b122b94c30b60a813d1d1e728d2c8ef33e53b5c57a335388dbf3635547af6