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Paper Citation Record · LEDGER

DeeperGCN: All You Need to Train Deeper GCNs

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2006.07739.

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

pith.paper-citation-record.v1
2006.07739 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:54:11.075046Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T11:43:23.263753Z

Reference resolution

0 of 0 outbound references displayed

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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 38711710-a0b8-4365-904d-aa3f377ee8a0 · inbound

Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution cites this paper.

Towards Efficient Few-shot Graph Neural Architecture Search via Partitioning Gradient Contribution DeeperGCN: All You Need to Train Deeper GCNs

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-07T11:54:11.075046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:54:11.075046Z digest=sha256:6a5cc7912ffe85d4812e9b392b3d7eccbb4be5ce287fc519db2b4953fcfa5a30

Observation c497cde0-ef16-4677-9204-dd952e97a93f · inbound

ORCAS: Obfuscation-Resilient Binary Code Similarity Analysis using Dominance Enhanced Semantic Graph cites this paper.

ORCAS: Obfuscation-Resilient Binary Code Similarity Analysis using Dominance Enhanced Semantic Graph DeeperGCN: All You Need to Train Deeper GCNs

Reference 29

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unresolved
no resolver link, observed 2026-08-07T06:04:50.609164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:04:50.609164Z digest=sha256:51a4ff3e9409ea5b8995150c4307a3d41f7017517cc48354cca3be1d61f9ff98

Observation c578b4d4-335c-447d-8cb1-c933ff722854 · inbound

Robust Anomaly Detection with Graph Neural Networks using Controllability cites this paper.

Robust Anomaly Detection with Graph Neural Networks using Controllability DeeperGCN: All You Need to Train Deeper GCNs

Reference 10

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unresolved
no resolver link, observed 2026-08-06T16:19:28.611903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:19:28.611903Z digest=sha256:1e6235a21a52857ef69dd243f963707a3f5e8e57a77293bbd871b0631add7dcc

Observation f2359a25-9df7-4aaf-aa1b-0978f5cdb702 · inbound

PyG 2.0: Scalable Learning on Real World Graphs cites this paper.

PyG 2.0: Scalable Learning on Real World Graphs DeeperGCN: All You Need to Train Deeper GCNs

Reference 55

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unresolved
no resolver link, observed 2026-08-06T15:03:07.553459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:03:07.553459Z digest=sha256:bd033f6f5f6690f31730d02d0e3b3017aab0f61be76f783af12cb55fca588643

Observation 31b9ad19-c345-4493-afc9-8bb460624566 · inbound

Neighbor-Sampling Based Momentum Stochastic Methods for Training Graph Neural Networks cites this paper.

Neighbor-Sampling Based Momentum Stochastic Methods for Training Graph Neural Networks DeeperGCN: All You Need to Train Deeper GCNs

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T10:19:02.881461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:19:02.881461Z digest=sha256:c4342667b6106ffc563c652606699fddace040126f2b5fbd8a3f22e41e144b55

Observation 2bed9074-cde7-4ab8-bdfb-3ca7875eb7c7 · inbound

Geometric Autoencoder Priors for Bayesian Inversion: Learn First Observe Later cites this paper.

Geometric Autoencoder Priors for Bayesian Inversion: Learn First Observe Later DeeperGCN: All You Need to Train Deeper GCNs

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-18T14:26:28.491397Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-18T14:23:52.624996Z digest=sha256:879e17fbd0ff3eb3abb78a266c72b1fda5e8a22d1322461c2bac19b2fc9872c4

Observation 6224dbed-5a03-4c58-acd6-bedd4233d162 · inbound

Enhancing Graph Representations with Neighborhood-Contextualized Message-Passing cites this paper.

Enhancing Graph Representations with Neighborhood-Contextualized Message-Passing DeeperGCN: All You Need to Train Deeper GCNs

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-03T22:23:21.145433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T22:23:21.145433Z digest=sha256:ac99662a94e1e2054e5e284e6ae10da77b6fc291473623be6830c8842e0c609b

Observation f67cb06c-6552-4f00-919b-9f719fa0bdf0 · inbound

Capacity-Controlled Global Attention for Graph Transformers cites this paper.

Capacity-Controlled Global Attention for Graph Transformers DeeperGCN: All You Need to Train Deeper GCNs

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:31:30.759861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-10T06:27:24.557866Z digest=sha256:150777f20c5efead00a1dea4b4d680403cbe79939af417ea66370fc951a76516

Observation 292d19ca-df51-4c88-9c11-e5238552dd10 · inbound

Confident Learning-based Network for Detecting Bug-Inducing Commits on SZZ with Noisy Labels cites this paper.

Confident Learning-based Network for Detecting Bug-Inducing Commits on SZZ with Noisy Labels DeeperGCN: All You Need to Train Deeper GCNs

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-06-29T11:43:23.266775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-29T11:42:04.849077Z digest=sha256:77374d17aaaa3059f314d3e4b10aa6f630ff2e2157b55f44cecc0e5200784d0e