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Paper Citation Record · LEDGER

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation

As of 22 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 5 inbound Pith citation observations for arXiv:2502.05780.

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

pith.paper-citation-record.v1
2502.05780 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:06:08.224537Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:16:56.059247Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T19:27:32.288660Z

Reference resolution

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy12
  • unresolved6
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f420072a-9174-48ac-9337-0ffbe4cc0784 · outbound

This paper cites − ∂lθ(ei)[0] ∂θ + elθ(ei)[0] ∂lθ(ei)[0] ∂θ + elθ(ei)[1] ∂lθ(ei)[1] ∂θ elθ(ei)[0] + elθ(ei)[1] # + Ej∼Pp-OOD.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation − ∂lθ(ei)[0] ∂θ + elθ(ei)[0] ∂lθ(ei)[0] ∂θ + elθ(ei)[1] ∂lθ(ei)[1] ∂θ elθ(ei)[0] + elθ(ei)[1] # + Ej∼Pp-OOD

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:06:08.459887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.172205Z digest=sha256:c213d6e91dc6ebb493797dcd0ec65e69da6f1c49582a7fdc3caff61f8a983e3f

Observation 1346b469-f868-428c-bcb7-35593832a3f1 · outbound

This paper cites We also considered latest SOTA OOD Detection method by Yang et al.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation We also considered latest SOTA OOD Detection method by Yang et al

Reference 2

Resolution
malformed identifier
raw_fallback, observed 2026-08-08T18:06:08.355084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.205188Z digest=sha256:c927e5b8fda1f3caca8804ac7171689874f2ba09d9206b7cc4b5b562cb70175e

Observation 2334ee15-269f-4030-b04f-dc1833aca496 · outbound

This paper cites A Benchmark of Medical Out of Distribution Detection.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation A Benchmark of Medical Out of Distribution Detection

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T18:06:08.143260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:06:08.143260Z digest=sha256:71cb699add0226d98983a4e36ad743fb2b87b3ac82661b0c892ca927746792d1

Observation 66a1bd1c-eaf4-486c-8ba8-84b3a231ada7 · outbound

This paper cites The dataset consists of seven labels.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation The dataset consists of seven labels

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:06:08.415633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.186722Z digest=sha256:6eed4107b9f256a513c58ae875e8734d9eb00ffa89aee183a15c9ece967b0f1e

Observation 18d83123-1971-408a-95d0-6301fd7ec693 · outbound

This paper cites Deep feature deblurring diffusion for detecting out-of- distribution objects.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Deep feature deblurring diffusion for detecting out-of- distribution objects

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:06:08.489101Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.162166Z digest=sha256:9608b7311665f4d867aa0b58ba274a1e875351c1ed7fa062ce2819e26c6811ca

Observation dd5fc024-0d05-4c75-a44e-c2c9c37758c3 · outbound

This paper cites The structure is as follows: • We provide the proof for Proposition.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation The structure is as follows: • We provide the proof for Proposition

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:06:08.474534Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.167474Z digest=sha256:d421ad0fe1a77d78bfe46214118271a65df0887995a07cac1ab4cbc1b7bc86b5

Observation 142e610a-cda2-42b7-a2ba-82e8245868fa · outbound

This paper cites Edges reflect the citation relationships among papers, and each node is associated with a 128-dimensional vector derived from word embeddings of its title and abstract.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Edges reflect the citation relationships among papers, and each node is associated with a 128-dimensional vector derived from word embeddings of its title and abstract

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:06:08.386362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.195930Z digest=sha256:471fe99c862075de44302cffd3890feff78f914cae2ac61de329065242dc231a

Observation fa9a89ee-0811-4e74-98de-fef5a9784f57 · outbound

This paper cites A.2 L OGITS VS.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation A.2 L OGITS VS

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:06:08.445489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.176963Z digest=sha256:cdb9c17790132297f9ba0b9fcb968af201dbe7ea7a355d6b525ff40ab3735747

Observation d44b042c-ba53-403c-8289-ce366ad89f77 · outbound

This paper cites These methods typically rely on pre-trained models that are trained with additional data.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation These methods typically rely on pre-trained models that are trained with additional data

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:06:08.430706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.181797Z digest=sha256:ccac1a03f9bfbfb77dfb7d5b58fdfb6140df51bd49a3ef08fccca1367a552286

Observation 39645e22-447f-4ef1-9b1e-3ec3007d1e90 · outbound

This paper cites Node labels categorise the products.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Node labels categorise the products

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:06:08.401180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.191331Z digest=sha256:7b0de509b0626159d5828ac94eb3dca508bfe5c13327cf6c36f09f7d58dd386b

Observation 05be25e4-6489-4550-8956-fd8cbe125c24 · outbound

This paper cites an unresolved cited work.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:06:08.371448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.200421Z digest=sha256:206988807b305f9ef1f4041bac29d773ac4787555a2c1558f06ce78a68267938

Observation a1aea7d4-d4d3-450c-9bbf-3945a6679178 · outbound

This paper cites an unresolved cited work.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:06:08.339083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.210322Z digest=sha256:9ff9924d7707e4c4aa7374e6d77772476601bf769872ff0a38b8ce9531157280

Observation b988be75-4006-4dd0-b6c5-643af7124f09 · outbound

This paper cites In our GOLD, a latent node representation h0 ∈ Rd′ is initialised at timestep 0 from the GNN encodings H in Eq.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation In our GOLD, a latent node representation h0 ∈ Rd′ is initialised at timestep 0 from the GNN encodings H in Eq

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:06:08.323592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.215245Z digest=sha256:80f94ca5d21ef15cbe160860d4efa2286ebb10aded7efde53885ebe603bb5e68

Observation f689d26e-8df9-46ad-8ab9-9fc9a38fb05b · outbound

This paper cites an unresolved cited work.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:06:08.307466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.219797Z digest=sha256:d8cb71b4951054d94a88d92ccdf11118a1b644c7f7946b34278ee02f401511f1

Observation b08a6bcb-b944-44f3-a348-b7f020b3e72c · outbound

This paper cites Generalized outlier exposure: Towards a trust- worthy out-of-distribution detector without sacrificing accuracy.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Generalized outlier exposure: Towards a trust- worthy out-of-distribution detector without sacrificing accuracy

Reference 2017

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:06:08.520739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.152692Z digest=sha256:53fcad788cb4a057bfb2e1977eec94d45d20403c251082758ad05695d288137b

Observation 7a830bea-c0fe-4e6f-89e0-749067dbe727 · outbound

This paper cites We compare these architectures against GNNSafe and NodeSafe and their OOD-exposed variants.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation We compare these architectures against GNNSafe and NodeSafe and their OOD-exposed variants

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:06:08.291606Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.224537Z digest=sha256:3870363ccd35c750d9386149d30e4788d36ad40886e70f927e436fe8f8b3debb

Observation cdb28394-24f3-4fbd-9a0f-21c6fc9e0bbe · outbound

This paper cites URL https://doi.org/10.3390/ s21144758.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation URL https://doi.org/10.3390/ s21144758

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-08T18:06:08.132545Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:06:08.132545Z digest=sha256:db2bd0957cd04d373aa26b6ef384fba06a81cbce1698f7badbe1deb23561ad9b

Observation a8dad8de-765c-4e86-b107-dcd36f59568e · outbound

This paper cites Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark A.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Liu, Emily Fertig, Jasper Snoek, Ryan Poplin, Mark A

Reference 2023

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T18:06:08.505408Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.157406Z digest=sha256:412e45870d774566d068dfd94c8d9647021e3c992b29ad95e2dbdf76852460f9

Observation 495b70fa-7cfd-4311-8607-ccb23f3bbfe0 · outbound

This paper cites an unresolved cited work.

GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation Unresolved cited work

Reference 2024

Resolution
unresolved
raw_fallback, observed 2026-08-08T18:06:08.535538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-08T18:06:08.147750Z digest=sha256:21ebfdde54a8b8d45d17f1047165dcb6d09cb732cb8de39ed7197113ce64c2ec

Pith citing papers

Observation 82e48206-829e-4325-a8ef-f6a8c863599f · inbound

Graph Synthetic Out-of-Distribution Exposure with Large Language Models cites this paper.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:56.059247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:56.059247Z digest=sha256:6d7890f8a535e3bdab04e679630ad65e78a03e98b2bcbcb4a750dbc58613020c

Observation 8d0db294-f7e7-4f58-9316-61eb870a18e0 · inbound

Subgraph Generation for Generalizing on Out-of-Distribution Links cites this paper.

Subgraph Generation for Generalizing on Out-of-Distribution Links GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T17:10:49.778493Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:10:49.778493Z digest=sha256:1b5c76333a810746439f5e7bf87c465c4982f077f040dfdd8233f778a277337e

Observation 8977641e-4612-4fd8-ba60-a9dde10aee5d · 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 GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-03T00:07:42.510488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:07:42.510488Z digest=sha256:7b9c45e98d6586746a86c4bcf27c6572ee70ab84c58e6f8857d8b4f0279abb13

Observation f16bd125-5ab0-4999-ae11-c1e8c9f6d302 · inbound

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

FedLAB: Traceable Semantic Codebooks for Federated Multimodal Graph Foundation Learning GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation

Reference 151

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:45:40.629814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-01T06:10:26.634933Z digest=sha256:cbb106c126235c9169cc68462cf374c0d7398b63a7718aeff07c8c8175871b8b

Observation d5a1cd46-8eae-4fec-88c1-e9f32122e382 · inbound

Hypergraph Neural Stochastic Diffusion: An SDE Framework for Uncertainty Estimation cites this paper.

Hypergraph Neural Stochastic Diffusion: An SDE Framework for Uncertainty Estimation GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-07-10T19:27:32.289941Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-07-10T19:26:38.551247Z digest=sha256:26d4cf7acf4d62d5fb8b68e1a0c28fdb5b3f1f8d526eee45557fba740dd59d3d