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Paper Citation Record · LEDGER

A Metric for the Balance of Information in Graph Learning

As of 10 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 0 inbound Pith citation observations for arXiv:2501.19137.

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

pith.paper-citation-record.v1
2501.19137 v1

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T21:14:05.229375Z

measured 20 of 20 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

20 of 20 outbound references displayed

  • verified exact1
  • verified fuzzy2
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7b179ae6-750e-4a98-ac68-d8cd18351dcf · outbound

This paper cites , " * write output.state after.block = add.period write newline.

A Metric for the Balance of Information in Graph Learning , " * write output.state after.block = add.period write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T21:14:05.105875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:14:05.105875Z digest=sha256:fc8602c8659c0398ae981fb6d6dfc4b1783da11c1d32343168cc0b6024589782

Observation ee13ba59-12dc-4d14-953d-6b9295544ae3 · outbound

This paper cites write newline.

A Metric for the Balance of Information in Graph Learning write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-09T21:14:05.112404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:14:05.112404Z digest=sha256:f4ef7aa378368b9fed81490bf627cf612b4d2705236f0cd293e63f8c842ea107

Observation b5670ce4-f960-48f2-a765-c830454c21de · outbound

This paper cites On the Bottleneck of Graph Neural Networks and its Practical Implications.

A Metric for the Balance of Information in Graph Learning On the Bottleneck of Graph Neural Networks and its Practical Implications

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T21:14:05.118554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:14:05.118554Z digest=sha256:13b5e843a8d79730052a84b2c43f9cd6d68f392e42ee405a87d39ac0cd5a63d8

Observation fb06b2c3-9ea2-440f-8b81-fd3b6277ba16 · outbound

This paper cites Graph Neural Networks Use Graphs When They Shouldn't.

A Metric for the Balance of Information in Graph Learning Graph Neural Networks Use Graphs When They Shouldn't

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T21:14:05.124876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:14:05.124876Z digest=sha256:bc2b0da46fbb854155291afc8d2672483cab954f921eda0db4a457ce1b0dea0c

Observation 1889493b-b551-43b4-8e2a-0db4fa5deb34 · outbound

This paper cites an unresolved cited work.

A Metric for the Balance of Information in Graph Learning Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:14:06.105779Z

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=2026-08-09T21:14:05.130735Z digest=sha256:2ad19e4a90577d3158ef4086ec8685a83919367da3146d329285f5f80ef038b1

Observation 9f855d10-238f-48c2-9286-568fa70afb81 · outbound

This paper cites Realistic Synthetic Social Networks with Graph Neural Networks.

A Metric for the Balance of Information in Graph Learning Realistic Synthetic Social Networks with Graph Neural Networks

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T21:14:05.136640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:14:05.136640Z digest=sha256:a738d135a47eddadab608127d3a4b4c6f821059be353b4a62b09c4c9f3d50de8

Observation 1ff24fd1-73b2-4656-ad01-37f76bdab10e · outbound

This paper cites Neural Message Passing for Quantum Chemistry.

A Metric for the Balance of Information in Graph Learning Neural Message Passing for Quantum Chemistry

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T21:14:05.142449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:14:05.142449Z digest=sha256:111b89bbdef86d52025fede6ed62e2c862c084e60f4bb7881fb40d3691e1998e

Observation 8b0e7108-8ef0-4129-9e53-1d81a69389aa · outbound

This paper cites Automatic chemical design using a data-driven continuous representation of molecules.

A Metric for the Balance of Information in Graph Learning Automatic chemical design using a data-driven continuous representation of molecules

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T21:14:05.149125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:14:05.149125Z digest=sha256:1a040417f1e76ee7b245d853f9ae5d4907fffdff77745cf986bfdff859c1bdd4

Observation 8d2d46ca-e48d-47b0-873d-6d0fa447418e · outbound

This paper cites Topological Graph Neural Networks.

A Metric for the Balance of Information in Graph Learning Topological Graph Neural Networks

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T21:14:05.157974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:14:05.157974Z digest=sha256:fe21a0326bcbf1bce85f0dde13be6555b2cbb4d7de879b0b4d925e1807036743

Observation e70b2675-9506-4d3b-88a6-a620d96aa9a9 · outbound

This paper cites an unresolved cited work.

A Metric for the Balance of Information in Graph Learning Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:14:06.088462Z

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=2026-08-09T21:14:05.164362Z digest=sha256:889ff9cc48b3b8f3a9e469f2e62a079b06b7d38b2796fd5be144aed6304e8dec

Observation 1b66683e-b5c8-43e8-a19c-9ec94daf4403 · outbound

This paper cites Node Similarity Preserving Graph Convolutional Networks.

A Metric for the Balance of Information in Graph Learning Node Similarity Preserving Graph Convolutional Networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-09T21:14:05.170571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:14:05.170571Z digest=sha256:bdd0a2a31ceb40dd332bdfd2bca1e89518fd8b11d92a9fc383c70fd1ed47111d

Observation ce46819f-0361-4f0a-9f1b-e3674cb8bc49 · outbound

This paper cites J.; Bollegala, D.; and Kell, D.

A Metric for the Balance of Information in Graph Learning J.; Bollegala, D.; and Kell, D

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:14:06.064821Z

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=2026-08-09T21:14:05.178071Z digest=sha256:0570c54edc887619911a6d185581eed99ddb7a466e22b248f864934f1655842c

Observation f67cfa18-8013-42b2-a49d-0372008ad564 · outbound

This paper cites Deep Generative Graph Distribution Learning for Synthetic Power Grids.

A Metric for the Balance of Information in Graph Learning Deep Generative Graph Distribution Learning for Synthetic Power Grids

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-09T21:14:05.185515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:14:05.185515Z digest=sha256:6bd3f7b77dd14ad2cc53f86c4ca50cd0bb4d4ac56d3e4d00a9788be00aee5a07

Observation 9a08ccd8-35c7-461f-89f1-b72977ce4924 · outbound

This paper cites M.; Huang, K.; and Zitnik, M.

A Metric for the Balance of Information in Graph Learning M.; Huang, K.; and Zitnik, M

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T21:14:05.783252Z

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=2026-08-09T21:14:05.192911Z digest=sha256:ea840c242d1ea49629a20b54730499b229ac841c6dc566c45e3ebd1ad9ce1ff9

Observation 3616ac8c-2698-4165-b400-caf728764d30 · outbound

This paper cites MolecularRNN: Generating realistic molecular graphs with optimized properties.

A Metric for the Balance of Information in Graph Learning MolecularRNN: Generating realistic molecular graphs with optimized properties

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T21:14:05.200107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:14:05.200107Z digest=sha256:540133aa10812f0f85a324d0b06f2da9b753a7e4010f903ecea53c1de0c7299c

Observation 1177306c-ef32-4e20-828a-0154bcbfeb82 · outbound

This paper cites an unresolved cited work.

A Metric for the Balance of Information in Graph Learning Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:14:05.766076Z

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=2026-08-09T21:14:05.206489Z digest=sha256:46e4614603d48f77d38e43cd998de8fe1f4ce8dbd80f36c77c4c35765ded9f2e

Observation 21f3d4d1-9c9f-41bd-811d-944f75387467 · outbound

This paper cites DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations.

A Metric for the Balance of Information in Graph Learning DGNN: Decoupled Graph Neural Networks with Structural Consistency between Attribute and Graph Embedding Representations

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-09T21:14:05.574357Z

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=2026-08-09T21:14:05.212705Z digest=sha256:1110eff4e4be6bae0f7a2ddd88190e858fc5224497c5cc4b1d4de5e7d704afef

Observation fca58466-3c38-4048-8f7d-b453f90b8aac · outbound

This paper cites an unresolved cited work.

A Metric for the Balance of Information in Graph Learning Unresolved cited work

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T21:14:05.218633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:14:05.218633Z digest=sha256:54026e014b0c83c8c0ef644bd2f7a8178da5e924551994a08fae28552628f3d8

Observation e79fc5c6-a76c-4184-8362-9cc5c2290f68 · outbound

This paper cites an unresolved cited work.

A Metric for the Balance of Information in Graph Learning Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-09T21:14:05.748392Z

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=2026-08-09T21:14:05.223792Z digest=sha256:c102727b77d06bbb5ac74085c4593726d2e98f8c9e4e35c81c311059e37f7b89

Observation e8140fd5-0d1b-41c8-bffe-27d51d59d2f1 · outbound

This paper cites How Powerful are Graph Neural Networks?.

A Metric for the Balance of Information in Graph Learning How Powerful are Graph Neural Networks?

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-09T21:14:05.229375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T21:14:05.229375Z digest=sha256:a813aff3e7589a8ee34a02d8b26df37ba9386dd916dd95e351887eb21a4123c2

Pith citing papers

No inbound Pith citation observations are available.