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Paper Citation Record · LEDGER

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs

As of 18 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 3 inbound Pith citation observations for arXiv:2504.13429.

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

pith.paper-citation-record.v1
2504.13429 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:15:07.578128Z

measured 22 of 22 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T00:07:43.413954Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:45:40.703345Z

Reference resolution

19 of 19 outbound references displayed

  • verified exact1
  • verified fuzzy5
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c42bb40-f120-4b99-8deb-43bbda602d1a · outbound

This paper cites SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs SGOOD: Substructure-enhanced Graph-Level Out-of-Distribution Detection

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-16T12:15:07.678635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:15:07.525968Z digest=sha256:adf19094695964126472583d4083977c87b4acb867b44900a812c2c23740bca4

Observation da92c43d-6d4e-4c19-8dda-fbab423c3f4f · outbound

This paper cites Deep Anomaly Detection with Outlier Exposure.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Deep Anomaly Detection with Outlier Exposure

Reference 7

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no resolver link, observed 2026-08-16T12:15:07.533337Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:15:07.533337Z digest=sha256:48f2d39cdbcdd16cb938385783bb1763bc7a27745d60c8d7a1e0ccd6fbce77e0

Observation be9aa51a-570b-4945-acd3-efff11985c32 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Semi-Supervised Classification with Graph Convolutional Networks

Reference 8

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no resolver link, observed 2026-08-16T12:15:07.537385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:15:07.537385Z digest=sha256:09ccac11e4332f9ec300ffd67c760eab7421217ded8d3b1781b207f2a4443d06

Observation 83532e75-00e7-4da9-9f85-185d4992b8ce · outbound

This paper cites Crafting papers on machine learning.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Crafting papers on machine learning

Reference 9

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no resolver link, observed 2026-08-16T12:15:07.541002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:15:07.541002Z digest=sha256:40e9c84179714ad6e6b4c820e27be6e1e31b13a6168960c3ab3c09764fcb2b92

Observation 6d955db3-c5d6-4ef3-81b3-e8972f03a7ba · outbound

This paper cites How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

Reference 11

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no resolver link, observed 2026-08-16T12:15:07.548124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:15:07.548124Z digest=sha256:7d1700b91a7486e8303b3f22207d8e9ef0020481a6d9074c604f20c1fbba4924

Observation 3e0f0978-9a46-48b8-9a80-537ceb0379ae · outbound

This paper cites Graph Attention Networks.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Graph Attention Networks

Reference 12

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no resolver link, observed 2026-08-16T12:15:07.551820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:15:07.551820Z digest=sha256:2324ecc1a8c1743b2fda5a04d92ba07770f5aa19eece5f15550606951c367f4d

Observation 47de6d97-4a32-4135-bfc1-f3cc8f6d75bd · outbound

This paper cites Handling Distribution Shifts on Graphs: An Invariance Perspective.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Handling Distribution Shifts on Graphs: An Invariance Perspective

Reference 13

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no resolver link, observed 2026-08-16T12:15:07.555158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:15:07.555158Z digest=sha256:b55e87fc46ddfa927c4b08ba2bb00892da190fabae3d47f7b65e5783d3bbdb2e

Observation 358023be-a220-4dcc-bab8-79924eabcdaf · outbound

This paper cites Energy-based Out-of-Distribution Detection for Graph Neural Networks.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Energy-based Out-of-Distribution Detection for Graph Neural Networks

Reference 14

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no resolver link, observed 2026-08-16T12:15:07.558739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:15:07.558739Z digest=sha256:60915db7e0935b5593a501cd5ef4aa0884c3a1b41eb1dc82605f279263b95309

Observation e7103032-f9af-4f86-9d9a-4592e40a2561 · outbound

This paper cites Whenλ0 = 0, for any zi∈ z, we have, ezi = 0 Which does not hold.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Whenλ0 = 0, for any zi∈ z, we have, ezi = 0 Which does not hold

Reference 15

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verified fuzzy
raw_fallback, observed 2026-08-16T12:15:07.756499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:15:07.562284Z digest=sha256:d6bad364c0065dd2192d32b2064ae14f00ea3bc216f70558cd6f028ebaeed5a9

Observation 59d945e1-2350-4ebf-834e-0d9946ff71f5 · outbound

This paper cites Additionally, subgraph EN serve as out-of-distribution (OOD) exposure, while ES, FR, and RU are utilized for OOD testing data.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Additionally, subgraph EN serve as out-of-distribution (OOD) exposure, while ES, FR, and RU are utilized for OOD testing data

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T12:15:07.744839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:15:07.566173Z digest=sha256:360c55356a3c8a6d2b2fff767ca3d7ec217914921708bd14d3b324878b73147e

Observation b3b2d1c7-d5dc-40a2-a18b-e94d142f2d1a · outbound

This paper cites Edges in the graph denote citation relationships, and every node is associated with a 128-dimensional feature vector derived from the word embeddings of its title and abstract.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Edges in the graph denote citation relationships, and every node is associated with a 128-dimensional feature vector derived from the word embeddings of its title and abstract

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-16T12:15:07.734964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:15:07.569552Z digest=sha256:bbbfa5b1345d2e0e19d929ecb5db3d3d84b844e85b83ed192a16d2b4ad79a4be

Observation 6f5815fb-7b70-4fd5-b97b-4adf062f14d9 · outbound

This paper cites We use the hyperparameters recommended in it for LogitNorm (Liu et al., 2020).

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs We use the hyperparameters recommended in it for LogitNorm (Liu et al., 2020)

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-16T12:15:07.724263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:15:07.573500Z digest=sha256:a5c5df12fa5bf644082c87b5ab758aa8b3ea89594650078a715f4eca21f6a9f0

Observation 5f2d1828-95f1-4cb1-a315-532bdb6db910 · outbound

This paper cites an unresolved cited work.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Unresolved cited work

Reference 19

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unresolved
raw_fallback, observed 2026-08-16T12:15:07.713937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:15:07.578128Z digest=sha256:eb07257b0104f0b6b1db915184ba3d93e09b8c388b3342f19fb5c2733a1958b7

Observation 980e241d-8ec1-4aec-9784-b6ca1a42e6a1 · outbound

This paper cites Discriminative out-of-distribution detection for semantic segmentation.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Discriminative out-of-distribution detection for semantic segmentation

Reference 2016

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no resolver link, observed 2026-08-16T12:15:07.514422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:15:07.514422Z digest=sha256:3887df33a98a2719005f46226a6bfd55e7643a8e2c7569e02ad884bbd1de57b3

Observation ad4cd3e1-4f04-404e-9429-8b82a8bdf613 · outbound

This paper cites Atom: Robustifying out-of-distribution detection using outlier mining.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Atom: Robustifying out-of-distribution detection using outlier mining

Reference 2018

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verified fuzzy
raw_fallback, observed 2026-08-16T12:15:07.771733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T12:15:07.518662Z digest=sha256:82e601a65bf23908c7e05fa719dc91f3c21e0490ed130f3b50fc5241be920253

Observation fa211381-119c-4407-b24b-dc539f598239 · outbound

This paper cites Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Towards OOD Detection in Graph Classification from Uncertainty Estimation Perspective

Reference 2020

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no resolver link, observed 2026-08-16T12:15:07.509569Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:15:07.509569Z digest=sha256:609167d1a7a0068826981762c37a3617e556a36360e1299bdefe260b4d7693c3

Observation 35dfbf34-1107-4131-b85e-9d6cee45f29f · outbound

This paper cites MolGAN: An implicit generative model for small molecular graphs.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs MolGAN: An implicit generative model for small molecular graphs

Reference 2021

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unresolved
no resolver link, observed 2026-08-16T12:15:07.522136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:15:07.522136Z digest=sha256:a6d207d5f1ca5de5c759041acb444010f31c459dc7abef66a62689271982045a

Observation 11833d63-54e8-407a-91c3-499b0836b866 · outbound

This paper cites Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

Reference 2022

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unresolved
no resolver link, observed 2026-08-16T12:15:07.544369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:15:07.544369Z digest=sha256:708e96e73348c9ea803b4b582c4514d1861a1e690d6e5bff3c23195140277a07

Observation c7789688-004e-4be6-a495-044a9f3ca6cb · outbound

This paper cites A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks.

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 2023

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unresolved
no resolver link, observed 2026-08-16T12:15:07.529769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:15:07.529769Z digest=sha256:bb1bb7cf2689bfe9fb41ce848cf6098774d840d1e6cceb3ce54b30148ac653b8

Pith citing papers

Observation 0f1dbd8c-4ee9-415f-b3e4-3e3e780597e0 · inbound

Both Topology and Text Matter: Revisiting LLM-guided Out-of-Distribution Detection on Text-attributed Graphs cites this paper.

Both Topology and Text Matter: Revisiting LLM-guided Out-of-Distribution Detection on Text-attributed Graphs Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs

Reference 45

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unresolved
no resolver link, observed 2026-08-03T00:07:43.413954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:07:43.413954Z digest=sha256:3cb3269c10b35d56b706ad92d10d3ab17b341c5b8d6c28c193a1815f3eefe97a

Observation 359c0bf3-d50c-47b2-a0ee-99e8b16eef1d · inbound

Node-to-Neighborhood Semantic Consistency: Text-Topology Alignment for TAGs Anomaly Detection cites this paper.

Node-to-Neighborhood Semantic Consistency: Text-Topology Alignment for TAGs Anomaly Detection Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs

Reference 27

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verified exact
arxiv_id, observed 2026-06-30T06:54:21.421578Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-06-30T06:24:18.318819Z digest=sha256:d3e5eb231952d1aa4312aad88c98d89fab9e1b2122d078dac751ac19aedc969a

Observation 4b2b86c5-8d2b-427a-8834-2f20710b4ab6 · inbound

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning cites this paper.

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs

Reference 147

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verified exact
arxiv_id, observed 2026-07-01T09:45:40.704771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-07-01T06:10:26.634933Z digest=sha256:295bae01b798d76883cc9285bfe9a2d2ba48a84071ca9087ce910e891803eb89