Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-15T21:19:31.137340Z
Paper Citation Record · LEDGER
Negative Metric Learning for Graphs
As of 18 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2505.10307.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
56 of 56 outbound references displayed
- verified exact1
- verified fuzzy43
- unresolved12
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External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 02d87a09-c7ee-4f3b-9cc6-8419b1eea94c · outbound
This paper cites An introduction to single-user information theory.
Negative Metric Learning for Graphs An introduction to single-user information theory
Reference 1
- Resolution
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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.
Observation 78136f84-e4c5-4c70-8391-89c2b1052242 · outbound
This paper cites Enhancing contrastive learning on graphs with node similarity.
Negative Metric Learning for Graphs Enhancing contrastive learning on graphs with node similarity
Reference 5
- Resolution
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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.
Observation 0d7b25ff-462e-45b9-a822-c7ea48776a6e · outbound
This paper cites Neighborhood-based hard negative min- ing for sequential recommendation.
Negative Metric Learning for Graphs Neighborhood-based hard negative min- ing for sequential recommendation
Reference 7
- Resolution
- verified fuzzy
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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.
Observation 273c1bdf-f766-443f-b2b7-1248f2c6380c · outbound
This paper cites Graph representa- tion learning.
Negative Metric Learning for Graphs Graph representa- tion learning
Reference 11
- Resolution
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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.
Observation 6e208a7c-e223-40e2-8c96-054f7cf18c48 · outbound
This paper cites Topology-aware debiased self-supervised graph learning for recommendation.
Negative Metric Learning for Graphs Topology-aware debiased self-supervised graph learning for recommendation
Reference 12
- Resolution
- verified fuzzy
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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.
Observation 3ab2dc46-e548-4820-bb18-6ede1dc835e2 · outbound
This paper cites Towards expansive and adaptive hard negative mining: Graph con- trastive learning via subspace preserving.
Negative Metric Learning for Graphs Towards expansive and adaptive hard negative mining: Graph con- trastive learning via subspace preserving
Reference 13
- Resolution
- verified fuzzy
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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.
Observation 266248f7-3b49-44ac-b5df-af535a6e2023 · outbound
This paper cites Contrastive multi-view repre- sentation learning on graphs.
Negative Metric Learning for Graphs Contrastive multi-view repre- sentation learning on graphs
Reference 14
- Resolution
- verified fuzzy
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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.
Observation c2caa200-6e34-48f8-8878-4ec723e742c1 · outbound
This paper cites Graph-MLP: Node Classification without Message Passing in Graph.
Negative Metric Learning for Graphs Graph-MLP: Node Classification without Message Passing in Graph
Reference 15
- Resolution
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b65db685-9267-4c22-8d92-1995ab241337 · outbound
This paper cites Variational Graph Auto-Encoders.
Negative Metric Learning for Graphs Variational Graph Auto-Encoders
Reference 17
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 15244c3a-1aa5-40bc-af33-83ac682c9790 · outbound
This paper cites Homogcl: Rethinking ho- mophily in graph contrastive learning.
Negative Metric Learning for Graphs Homogcl: Rethinking ho- mophily in graph contrastive learning
Reference 19
- Resolution
- verified fuzzy
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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.
Observation 899ad543-8442-4b2a-8d85-00ba9e9fd6c3 · outbound
This paper cites Spectral augmentation for self-supervised learning on graphs.
Negative Metric Learning for Graphs Spectral augmentation for self-supervised learning on graphs
Reference 20
- Resolution
- verified fuzzy
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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.
Observation 0d3e2f70-5452-48dd-b337-80f5f1484295 · outbound
This paper cites Prototypical graph contrastive learning.
Negative Metric Learning for Graphs Prototypical graph contrastive learning
Reference 21
- Resolution
- verified fuzzy
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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.
Observation bb93618b-81ea-47ae-8591-00f00af217cb · outbound
This paper cites B2-sampling: Fusing balanced and biased sampling for graph contrastive learning.
Negative Metric Learning for Graphs B2-sampling: Fusing balanced and biased sampling for graph contrastive learning
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.580714Z
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.
Observation c9fb733d-3d14-42b7-b615-45fa29a5f20d · outbound
This paper cites Seeking false hard negatives for graph contrastive learning.
Negative Metric Learning for Graphs Seeking false hard negatives for graph contrastive learning
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.567734Z
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.
Observation cbfe3cbc-1ce1-4be9-bf9d-1679f09c3373 · outbound
This paper cites Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks.
Negative Metric Learning for Graphs Wiki-CS: A Wikipedia-Based Benchmark for Graph Neural Networks
Reference 24
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f8d5076a-0c57-459f-b218-a77d628e87bf · outbound
This paper cites Estimating divergence functionals and the likelihood ratio by convex risk min- imization.
Negative Metric Learning for Graphs Estimating divergence functionals and the likelihood ratio by convex risk min- imization
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.554646Z
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.
Observation 2edaee24-c566-4458-be60-54771c448424 · outbound
This paper cites Graph representation learning via graphical mutual information maximization.
Negative Metric Learning for Graphs Graph representation learning via graphical mutual information maximization
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.527578Z
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.
Observation bc5538c7-a6d1-4820-aa9d-599aba4c6744 · outbound
This paper cites Deepwalk: Online learning of social repre- sentations.
Negative Metric Learning for Graphs Deepwalk: Online learning of social repre- sentations
Reference 28
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7bb4075f-acfc-4192-a6d8-41e93eca3908 · outbound
This paper cites Dropedge: Towards deep graph con- volutional networks on node classification.
Negative Metric Learning for Graphs Dropedge: Towards deep graph con- volutional networks on node classification
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.485472Z
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.
Observation c1e0fa7d-32b3-4a85-8190-e76933551ba0 · outbound
This paper cites Pitfalls of graph neural network evalu- ation.
Negative Metric Learning for Graphs Pitfalls of graph neural network evalu- ation
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.473740Z
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.
Observation 2a870386-bab5-43fd-a5ca-ad8d551cf949 · outbound
This paper cites Properties of the hubert- arable adjusted rand index.
Negative Metric Learning for Graphs Properties of the hubert- arable adjusted rand index
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.461758Z
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.
Observation d78aae0b-526f-4f60-810f-3ffb5aa37585 · outbound
This paper cites Adversarial graph augmentation to im- prove graph contrastive learning.
Negative Metric Learning for Graphs Adversarial graph augmentation to im- prove graph contrastive learning
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.435362Z
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.
Observation 985f55af-bcf3-46da-88db-51069b5fffba · outbound
This paper cites Bootstrapped representa- tion learning on graphs.
Negative Metric Learning for Graphs Bootstrapped representa- tion learning on graphs
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.424361Z
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.
Observation 43346667-629a-46fc-bb0a-729469f07808 · outbound
This paper cites Large- scale representation learning on graphs via bootstrapping.
Negative Metric Learning for Graphs Large- scale representation learning on graphs via bootstrapping
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.412918Z
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.
Observation 333f29c5-73b6-4c7c-84df-110047c369db · outbound
This paper cites Visualizing data using t-sne.Journal of machine learning research, 9(11),.
Negative Metric Learning for Graphs Visualizing data using t-sne.Journal of machine learning research, 9(11),
Reference 38
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5029313c-d9ec-4341-8aad-201f35d423fd · outbound
This paper cites Deep Graph Infomax.
Reference 40
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b4fa1d67-2964-4854-8407-d1d26b85c262 · outbound
This paper cites Boosting graph contrastive learning via adaptive sampling.
Negative Metric Learning for Graphs Boosting graph contrastive learning via adaptive sampling
Reference 41
- Resolution
- verified fuzzy
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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.
Observation ce60dcd4-281a-4461-a69e-74785fdea39b · outbound
This paper cites Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data.
Negative Metric Learning for Graphs Theoretical Analysis of Self-Training with Deep Networks on Unlabeled Data
Reference 42
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8485c75c-1809-4d52-82b6-e38f2f494e8b · outbound
This paper cites Graph contrastive learning via interventional view generation.
Negative Metric Learning for Graphs Graph contrastive learning via interventional view generation
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.382933Z
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.
Observation 9c9dfc5e-5548-474f-8f68-c386572e8969 · outbound
This paper cites Progcl: Rethinking hard nega- tive mining in graph contrastive learning.
Negative Metric Learning for Graphs Progcl: Rethinking hard nega- tive mining in graph contrastive learning
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.370862Z
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.
Observation cd1bc828-8b30-4c1e-ab7a-1d65bd7e596a · outbound
This paper cites Revisiting semi-supervised learning with graph embeddings.
Negative Metric Learning for Graphs Revisiting semi-supervised learning with graph embeddings
Reference 45
- Resolution
- unresolved
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Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fa6fbb0-44d8-44ed-b7ef-90da03f9615c · outbound
This paper cites Region or global? a principle for negative sampling in graph-based recommendation.
Negative Metric Learning for Graphs Region or global? a principle for negative sampling in graph-based recommendation
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.352659Z
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.
Observation 2ba83bd2-a6bc-45c9-a221-93993e761f7a · outbound
This paper cites Graph con- trastive learning with augmentations.
Negative Metric Learning for Graphs Graph con- trastive learning with augmentations
Reference 47
- Resolution
- verified fuzzy
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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.
Observation 3a7946b7-9860-4bf6-b40e-ae7bf73b2de4 · outbound
This paper cites Topology Reorganized Graph Contrastive Learning with Mitigating Semantic Drift.
Negative Metric Learning for Graphs Topology Reorganized Graph Contrastive Learning with Mitigating Semantic Drift
Reference 48
- Resolution
- verified exact
- local_arxiv, observed 2026-08-15T21:19:31.185316Z
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.
Observation 99c995b1-68d7-4186-9b7c-ebc0e6dd2d1c · outbound
This paper cites From canonical correlation analysis to self-supervised graph neural networks.
Negative Metric Learning for Graphs From canonical correlation analysis to self-supervised graph neural networks
Reference 49
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.328881Z
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.
Observation 00161c8d-3df6-4ff1-9265-1bb578d10b1a · outbound
This paper cites Localized Contrastive Learning on Graphs.
Negative Metric Learning for Graphs Localized Contrastive Learning on Graphs
Reference 50
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:19:31.115573Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a8f1f57a-bc95-4501-9afe-d6cfc223616a · outbound
This paper cites Empowering collabo- rative filtering with principled adversarial contrastive loss.
Negative Metric Learning for Graphs Empowering collabo- rative filtering with principled adversarial contrastive loss
Reference 51
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.317096Z
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.
Observation 86da4851-54b1-4f0c-821c-dfa20bfc12cc · outbound
This paper cites Deep graph contrastive representation learning.
Negative Metric Learning for Graphs Deep graph contrastive representation learning
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.305041Z
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.
Observation c901bb6d-b968-40d1-b3e3-7bc0626c8015 · outbound
This paper cites Graph contrastive learning with adaptive augmentation.
Negative Metric Learning for Graphs Graph contrastive learning with adaptive augmentation
Reference 53
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.293438Z
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.
Observation 427ff980-1357-462f-b6b7-ed7d914547d4 · outbound
This paper cites Graph con- trastive learning reimagined: Exploring universality.
Negative Metric Learning for Graphs Graph con- trastive learning reimagined: Exploring universality
Reference 54
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.282661Z
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.
Observation d685c5ce-b0fa-4b00-9380-e01229cfa321 · outbound
This paper cites , 2020a; Huynh et al.
Negative Metric Learning for Graphs , 2020a; Huynh et al
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.272761Z
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.
Observation a93d1d43-c8ea-4811-81da-3c48a3974e1f · outbound
This paper cites The best result on each dataset is highlighted in boldface and the runner-up results are underlined.
Negative Metric Learning for Graphs The best result on each dataset is highlighted in boldface and the runner-up results are underlined
Reference 56
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.262374Z
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.
Observation a513aec7-f547-4876-b42e-ef3ec8becd12 · outbound
This paper cites Progressive hard negative masking: From global uniformity to local tolerance.IEEE Transactions on Knowledge and Data Engineering , 35(12):12932–12943,.
Negative Metric Learning for Graphs Progressive hard negative masking: From global uniformity to local tolerance.IEEE Transactions on Knowledge and Data Engineering , 35(12):12932–12943,
Reference 2004
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.449188Z
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.
Observation e6f47a9d-e6d6-4517-a84a-0a86c3c557be · outbound
This paper cites A simple framework for contrastive learning of visual representations.
Negative Metric Learning for Graphs A simple framework for contrastive learning of visual representations
Reference 2007
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:19:30.940570Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a589b651-2bab-49d5-814a-7d4143f51a3c · outbound
This paper cites Graph Attention Networks.
Negative Metric Learning for Graphs Graph Attention Networks
Reference 2008
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:19:31.072672Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation de824d40-10d0-4eea-a16c-6cca0f46be20 · outbound
This paper cites Affinity uncertainty-based hard negative mining in graph contrastive learning.
Negative Metric Learning for Graphs Affinity uncertainty-based hard negative mining in graph contrastive learning
Reference 2010
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.541724Z
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.
Observation bbe87350-2e70-46ca-88af-04c6c46f10cc · outbound
This paper cites On variational bounds of mutual information.
Negative Metric Learning for Graphs On variational bounds of mutual information
Reference 2014
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.509532Z
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.
Observation 54d82561-6a13-4b1f-9986-96d64b386002 · outbound
This paper cites Kipf and Max Welling.
Negative Metric Learning for Graphs Kipf and Max Welling
Reference 2016
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T21:19:30.995419Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c461b1ed-e764-4673-b832-1296b27dc14f · outbound
This paper cites Inductive representation learning on large graphs.
Negative Metric Learning for Graphs Inductive representation learning on large graphs
Reference 2017
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.703627Z
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.
Observation bb03bcbe-92ad-416b-b195-5ffc1e399fdb · outbound
This paper cites Learning from positive and unlabeled data: A survey.
Negative Metric Learning for Graphs Learning from positive and unlabeled data: A survey
Reference 2018
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.796908Z
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.
Observation 30f89eb7-74fd-4f49-991c-26adad054d78 · outbound
This paper cites Contrastive learning with hard negative samples.
Negative Metric Learning for Graphs Contrastive learning with hard negative samples
Reference 2019
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.496306Z
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.
Observation 5953f37c-ae5a-46ab-b77f-76adb2431d45 · outbound
This paper cites A fuzzy extension of the rand index and other related indexes for clustering and classification assessment.
Negative Metric Learning for Graphs A fuzzy extension of the rand index and other related indexes for clustering and classification assessment
Reference 2020
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.784319Z
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.
Observation 5fb9a94e-d1e6-4204-81df-5a75574e775b · outbound
This paper cites Boosting contrastive self-supervised learning with false negative cancellation.
Negative Metric Learning for Graphs Boosting contrastive self-supervised learning with false negative cancellation
Reference 2021
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.638546Z
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.
Observation 648cdcec-e7e6-4998-9777-c0b29f5ac41b · outbound
This paper cites Neu- ral message passing for quantum chemistry.
Negative Metric Learning for Graphs Neu- ral message passing for quantum chemistry
Reference 2022
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.716129Z
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.
Observation c865e9dd-cb1c-4fdc-819b-649470064314 · outbound
This paper cites Adversarial graph contrastive learn- ing with information regularization.
Negative Metric Learning for Graphs Adversarial graph contrastive learn- ing with information regularization
Reference 2023
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- raw_fallback, observed 2026-08-15T21:19:31.728662Z
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Observation 4530bbe0-89bc-437f-a9f3-30a3eb61db77 · outbound
This paper cites Debiased contrastive learning.
Negative Metric Learning for Graphs Debiased contrastive learning
Reference 2024
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- verified fuzzy
- raw_fallback, observed 2026-08-15T21:19:31.753315Z
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Pith citing papers
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