Pith. sign in

Paper Citation Record · LEDGER

Graph Synthetic Out-of-Distribution Exposure with Large Language Models

As of 22 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 4 inbound Pith citation observations for arXiv:2504.21198.

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

pith.paper-citation-record.v1
2504.21198 v2

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:16:56.131672Z

measured 41 of 41 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:44:32.382722Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T09:39:46.458905Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact2
  • verified fuzzy12
  • unresolved22
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 6a833bff-6575-477b-ab96-dc2d23c8553a · outbound

This paper cites Out-of-distribution detection using synthetic data generation.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Out-of-distribution detection using synthetic data generation

Reference 1

Resolution
verified exact
raw_fallback, observed 2026-08-16T05:16:56.558100Z

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=2026-08-16T05:16:55.938473Z digest=sha256:daf75db4c153c3d241e4bca6b48c4f88e5ff90ad683f93c327d613ff5ca2ea8b

Observation f2e01121-b763-45ae-932d-1990d15e8378 · outbound

This paper cites Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Envisioning Outlier Exposure by Large Language Models for Out-of-Distribution Detection

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:55.943816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:55.943816Z digest=sha256:ebc364511f8a20590e686010b7a02e735fd3cc2afea161ce791de1103c18eda3

Observation 9412b46a-cf25-4ef0-bd7b-ade794cc4675 · outbound

This paper cites Multiood: Scaling out-of-distribution detection for multiple modalities.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Multiood: Scaling out-of-distribution detection for multiple modalities

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:56.938557Z

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=2026-08-16T05:16:55.949110Z digest=sha256:e30f8102dde38a5146b2ccb02695bcbb22dfd8426f6a978d698d41cd9d115d59

Observation 7fcf42b4-4a1a-49d5-b566-2a6e8c717e06 · outbound

This paper cites How Does Unlabeled Data Provably Help Out-of-Distribution Detection?.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models How Does Unlabeled Data Provably Help Out-of-Distribution Detection?

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:55.954980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:55.954980Z digest=sha256:ed817a9b8d18df66219e5ca64e7c2d88fb3f6c0202d7c2be0fc9090b2d84db87

Observation 4fff2b79-dfd8-4b15-b118-8b27ed536ea5 · outbound

This paper cites VOS: Learning What You Don't Know by Virtual Outlier Synthesis.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models VOS: Learning What You Don't Know by Virtual Outlier Synthesis

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:55.960500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:55.960500Z digest=sha256:a43aaa3404c77e898d712d416f852c6af377af4b4ee28456bf898e125b1903bf

Observation 727acb38-155e-492c-9d4c-9fcb5d1421b0 · outbound

This paper cites Citeseer: An automatic citation indexing system.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Citeseer: An automatic citation indexing system

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:55.965975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:55.965975Z digest=sha256:09bd75c8984cefdf6c42baa8fc4151f699dc9ad039a311d666cf63d1a4ec55d4

Observation 7d3afc3f-14fa-4892-906d-782bd0c424c5 · outbound

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

Graph Synthetic Out-of-Distribution Exposure with Large Language Models A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:55.971831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:55.971831Z digest=sha256:a856173278726b4c5e05774106869d544464e456407fe071a6ab51c20ed327be

Observation 49061e70-ae62-4592-b7be-db17b3040cae · outbound

This paper cites Deep Anomaly Detection with Outlier Exposure.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Deep Anomaly Detection with Outlier Exposure

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:55.976751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:55.976751Z digest=sha256:504ab7ea05fa606bd4e6f1b1fad32f4a15e6eb5eb5fea4bb85811022bb9d53b6

Observation 926a6afc-390b-4d5c-8f44-47742e984dad · outbound

This paper cites Pixmix: Dreamlike pictures comprehensively improve safety measures.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Pixmix: Dreamlike pictures comprehensively improve safety measures

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:56.907420Z

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=2026-08-16T05:16:55.981841Z digest=sha256:4bbf58d813c313e18b919b2216aee88413432340d4663c6f9fd755cfb634bcdd

Observation a075fff8-cefa-4459-8917-07c3e4d28982 · outbound

This paper cites Training sar-atr models for reliable operation in open-world environments.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Training sar-atr models for reliable operation in open-world environments

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:56.888239Z

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=2026-08-16T05:16:55.986710Z digest=sha256:cd43232c288b8e38266afdc5d12cb506ec85a3785167bef4153a3293e2c32241

Observation 72fc8ad6-c262-4e89-bdef-6a36c2e12a6f · outbound

This paper cites Autoaudit: Mining accounting and time-evolving graphs.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Autoaudit: Mining accounting and time-evolving graphs

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:56.870352Z

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=2026-08-16T05:16:55.991849Z digest=sha256:de2e2f6243a4e837b1ebaa5c6662423c7dbd641bf26818452afd287f9502684b

Observation 49b058d8-821c-4574-908a-b46e0731b16e · outbound

This paper cites Dpu: Dynamic prototype updating for multimodal out-of-distribution detection.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Dpu: Dynamic prototype updating for multimodal out-of-distribution detection

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:56.852061Z

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=2026-08-16T05:16:55.997018Z digest=sha256:e98a9a4f7e46e7b7aa5db9ce3b119dfd91b200c09a5ac154e7b87c62e0069f84

Observation ee74f278-59ce-415f-9882-929d6468a2de · outbound

This paper cites Energy-based out-of-distribution detection.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Energy-based out-of-distribution detection

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:56.833312Z

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=2026-08-16T05:16:56.002696Z digest=sha256:2a7122d6da4901d1d9df90f4a8be957c3c7d2f11ed326636fe1f25216d06dadd

Observation b7eb6d90-62c4-4da5-8210-ff5db4b44493 · outbound

This paper cites Revisiting score propagation in graph out-of-distribution detection.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Revisiting score propagation in graph out-of-distribution detection

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:56.009003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:56.009003Z digest=sha256:e08ae82ac007c99db09107ef79201ae0ce31521e4fc8b531f70fc379de2e0b89

Observation 237ab98f-5c88-4fdc-bc03-4951be892929 · outbound

This paper cites Automating the construction of internet portals with machine learning.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Automating the construction of internet portals with machine learning

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:56.014204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:56.014204Z digest=sha256:c5e4cd71c602aefa3ec88f7104cf625e3576a03a44fe9933beb91267b320297f

Observation 2fe270f6-cf80-4e9e-900d-c18854e84296 · outbound

This paper cites Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:56.019102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:56.019102Z digest=sha256:6b75320387dca67ba43b230c441b71067506d968ec945c72d7c33e91e35518d8

Observation f8893ed4-e3a3-4133-93d9-40a951bbf3ec · outbound

This paper cites Outlier exposure with confidence control for out-of-distribution detection.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Outlier exposure with confidence control for out-of-distribution detection

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:56.789279Z

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=2026-08-16T05:16:56.023891Z digest=sha256:bceb376c7b9658fc933ed659889e01e49eda91001d9dfa51abad11a6c1a7cdcb

Observation c4ea8416-91f7-411a-945a-3ac7ead9497a · outbound

This paper cites Metaood: Automatic selection of ood detection models.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Metaood: Automatic selection of ood detection models

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:56.028797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:56.028797Z digest=sha256:5508c130c3a968dd9b88c00f5011a20be86231455a6aa45013a2f2aa9b3197fa

Observation 6b7a1b4f-1eb8-4642-9ad2-492738c5a6a9 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:56.034094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:56.034094Z digest=sha256:54c5360acb651981dd5305e0a5b23f8d43b7bafe43a389ce36e6af9fbf2bdbd3

Observation 8c24fb5a-f2f3-4621-ac9f-9cb8e6aa09cb · outbound

This paper cites Collective classification in network data.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Collective classification in network data

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:56.038998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:56.038998Z digest=sha256:b124211b3763a3a6bfab2e8efdd75bb6f314c53227a19b741016ddcda0275104

Observation 14f50c42-9f82-44ef-9c5c-282c8bebdecc · outbound

This paper cites Learning on graphs with out-of-distribution nodes.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Learning on graphs with out-of-distribution nodes

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:56.044247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:56.044247Z digest=sha256:bfa00636bcb879610cfc8acf2a5f4ce892bd6dfa974ef77089807a0121c68c9c

Observation 80d5e9c5-903a-49c0-bde3-7bb2544c6629 · outbound

This paper cites Non-Parametric Outlier Synthesis.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Non-Parametric Outlier Synthesis

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:56.049061Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:56.049061Z digest=sha256:e996eb9cb82fec7398a7c745560817df9ecfd64babbad0d0a7bece21357f0655

Observation d7be6759-acef-465f-9c0d-094cb54774eb · outbound

This paper cites Out-of-distribution Detection in Classifiers via Generation.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Out-of-distribution Detection in Classifiers via Generation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:56.054220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:56.054220Z digest=sha256:873991159b965291495d69432d6d0f31d1f862fe8c925ec936d5f7896b2580d1

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

This paper cites GOLD: Graph Out-of-Distribution Detection via Implicit Adversarial Latent Generation.

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 a7c2f369-e4b5-48b1-90e7-c1c2c7b1fc96 · outbound

This paper cites Further analysis of outlier detection with deep generative models.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Further analysis of outlier detection with deep generative models

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:56.735486Z

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=2026-08-16T05:16:56.064486Z digest=sha256:4cb3659ea60db4c605239ba30aaeb1865c23ac5c8c7099794a23638dc21c07f1

Observation 7d31895c-0248-4ddf-a84c-0773edfe9353 · outbound

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

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Energy-based Out-of-Distribution Detection for Graph Neural Networks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:56.069136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:56.069136Z digest=sha256:21db9920a016876485e6c78628b0a2a81d2d581bd9f677d35fbb8a3f7e142854

Observation 2a654b5c-c4a8-4978-a180-a067a10b20ba · outbound

This paper cites Timme: Twitter ideology-detection via multi-task multi-relational embedding.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Timme: Twitter ideology-detection via multi-task multi-relational embedding

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:56.074597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:56.074597Z digest=sha256:70412b5fc53b5d1dc0743db3dd9dd66e6af7d3908a41788261bf315062484a94

Observation c2855a2a-c1d5-4354-b54c-5bdb3c91d114 · outbound

This paper cites CoSimGNN: Towards Large-scale Graph Similarity Computation.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models CoSimGNN: Towards Large-scale Graph Similarity Computation

Reference 28

Resolution
verified exact
local_arxiv, observed 2026-08-16T05:16:56.215816Z

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=2026-08-16T05:16:56.079513Z digest=sha256:1fa65cc505a1f29387a6223b8d260a45a3c2cbcecec75946b1d414ee1b5d7da3

Observation ff62a100-9aa7-4671-ba7e-f1be0138ac9b · outbound

This paper cites Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Graph partitioning and graph neural network based hierarchical graph matching for graph similarity computation

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:56.702453Z

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=2026-08-16T05:16:56.085468Z digest=sha256:60da3b2263c490fc48dea97bb50fbca511b9b39e6c0d7cc178c32199e2976f7d

Observation 3a0d9d89-75af-4e9e-8181-5284ed7f8f39 · outbound

This paper cites Lego-learn: Label-efficient graph open-set learning.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Lego-learn: Label-efficient graph open-set learning

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:56.682176Z

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=2026-08-16T05:16:56.090583Z digest=sha256:b7ec7c93898cd17b20fcf43ed22d70e8abb9b44f7693bab1439860014ee73f1b

Observation ec5a9451-1d45-470a-8f60-e582f8912eae · outbound

This paper cites Few-Shot Graph Out-of-Distribution Detection with LLMs.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Few-Shot Graph Out-of-Distribution Detection with LLMs

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:56.096944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:56.096944Z digest=sha256:09c5178abc6a22859609e43e2aac0e89a73b2f78200331dda57396fe272adb49

Observation cd618ed8-3e6a-40ef-a185-f51b1c5127ed · outbound

This paper cites A comprehensive study on text-attributed graphs: Benchmarking and rethinking.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models A comprehensive study on text-attributed graphs: Benchmarking and rethinking

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:56.104196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:56.104196Z digest=sha256:4a86987f0cdf78d1724b35a4f2eda58b871619b2bcbcf9ee9a5d9f2379e2b4b6

Observation 29a0a524-f33e-44de-8982-616586b85f33 · outbound

This paper cites Generalized out-of-distribution detection: A survey.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Generalized out-of-distribution detection: A survey

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:56.109647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:56.109647Z digest=sha256:8a03f6c04c4fe403fd38b2de007eaaea2f4a68a17f9bb016e31225b9121f051d

Observation cfa53175-643f-4ff3-b7c7-336143142658 · outbound

This paper cites Graphformers: Gnn-nested transformers for representation learning on textual graph.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Graphformers: Gnn-nested transformers for representation learning on textual graph

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-16T05:16:56.114664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:16:56.114664Z digest=sha256:5c0d62c93cd46aecc6c2e8d9d184297b01fd62a59070707ace1df82f5379715a

Observation df8d0081-a75a-431e-bc81-f1b78e1124d4 · outbound

This paper cites Mix- ture outlier exposure: Towards out-of-distribution detection in fine-grained environments.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Mix- ture outlier exposure: Towards out-of-distribution detection in fine-grained environments

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:56.626751Z

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=2026-08-16T05:16:56.120638Z digest=sha256:1b7677ab1a4b608c0116c2fc75a317aab3be6ea6bcbf86f5cdb788e38ba1f1a2

Observation 9b493e3f-cf85-4c0c-a8f0-fc1f50b4fc8e · outbound

This paper cites Uncertainty aware semi-supervised learning on graph data.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models Uncertainty aware semi-supervised learning on graph data

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T05:16:56.604736Z

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=2026-08-16T05:16:56.125977Z digest=sha256:01ff99aee40d1fd94e0bb2024a2c14e6206d00cdf53ab618a525060498ab2c19

Observation c6232d0a-f2e2-43a4-8add-1af9dd84dcaf · outbound

This paper cites A survey on deep graph generation: Methods and applications.

Graph Synthetic Out-of-Distribution Exposure with Large Language Models A survey on deep graph generation: Methods and applications

Reference 37

Resolution
malformed identifier
raw_fallback, observed 2026-08-16T05:16:56.585468Z

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=2026-08-16T05:16:56.131672Z digest=sha256:ec7c3c71915e0c90a23809d6e43b70f3693ab1e81e3d01ad9c068f3a66c304c8

Pith citing papers

Observation 50c2009e-4d50-4fc6-89b3-86452bd68d78 · inbound

When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty cites this paper.

When LLMs meet open-world graph learning: a new perspective for unlabeled data uncertainty Graph Synthetic Out-of-Distribution Exposure with Large Language Models

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T15:44:32.382722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:44:32.382722Z digest=sha256:c34898a63c610a14552d165ceeca344d28a1891a88116ae27fa0e0aad66a3b7f

Observation 2f9ebd11-c601-4176-8aa3-405c775d2d8a · 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 Graph Synthetic Out-of-Distribution Exposure with Large Language Models

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T00:07:43.009648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T00:07:43.009648Z digest=sha256:f3d74fa61a9f6b5a71ca38532ad454fa70ea53991adda90c575dba1d517ed0fe

Observation e79a4aae-3f54-4b6b-804f-67c5abfb2a66 · inbound

GRADE: Graph Representation of LLM Agent Dependency and Execution cites this paper.

GRADE: Graph Representation of LLM Agent Dependency and Execution Graph Synthetic Out-of-Distribution Exposure with Large Language Models

Reference 107

Resolution
verified exact
arxiv_id, observed 2026-07-04T09:39:46.460667Z

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=2026-06-26T09:44:37.914985Z digest=sha256:61757a982daebcbd1c5e963c902f2c201b4f61e3a1d80e71ba0ae7bf210ba721

Observation e41a810d-8a8a-493b-9f61-96df5d33408c · inbound

Inside the Unfair Judge: A Mechanistic Interpretability Account of LLM-as-Judge Bias cites this paper.

Inside the Unfair Judge: A Mechanistic Interpretability Account of LLM-as-Judge Bias Graph Synthetic Out-of-Distribution Exposure with Large Language Models

Reference 214

Resolution
unresolved
no resolver link, observed 2026-07-14T02:33:34.084111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T02:33:34.084111Z digest=sha256:8247f616cb5b30be278f83192b743d74838a913b1eb4f1fdacdeba4f61f55609