Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-05-09T14:36:29.620205Z
Paper Citation Record · LEDGER
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning
As of 15 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 0 inbound Pith citation observations for arXiv:2605.01310.
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 2026-08-14T06:32:32.682623+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
29 of 29 outbound references displayed
- verified exact2
- verified fuzzy26
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 37a4de6a-61d7-44c5-bbd0-34779374712c · outbound
This paper cites SciBERT: A pretrained language model for scientific text.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning SciBERT: A pretrained language model for scientific text
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.112083Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cd8125f4-0666-4c70-9b30-d3ca6ee34836 · outbound
This paper cites Beyond efficiency: Molecular data pruning for enhanced generalization.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Beyond efficiency: Molecular data pruning for enhanced generalization
Reference 2
- Resolution
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- raw_fallback, observed 2026-05-26T01:56:30.090386Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation cbb39de4-e92f-472d-ac59-e8a87af1d456 · outbound
This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Bert: Pre-training of deep bidirectional transformers for language understanding
Reference 3
- Resolution
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- raw_fallback, observed 2026-05-26T01:56:30.094644Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c9a42204-17be-41b6-8b38-85264afbc925 · outbound
This paper cites Mirage: Model-agnostic graph distillation for graph classification.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Mirage: Model-agnostic graph distillation for graph classification
Reference 4
- Resolution
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- raw_fallback, observed 2026-05-26T01:56:30.101904Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation b3714f0a-32d0-4346-8333-5dff97080d26 · outbound
This paper cites Graphmae: Self-supervised masked graph autoencoders.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Graphmae: Self-supervised masked graph autoencoders
Reference 5
- Resolution
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- raw_fallback, observed 2026-05-26T01:56:30.129858Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation bc01232b-4632-42c8-a5f7-1dd89fe9ebbf · outbound
This paper cites Graphmae2: A decoding-enhanced masked self-supervised graph learner.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Graphmae2: A decoding-enhanced masked self-supervised graph learner
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.144450Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation c090f555-c509-43e3-b91c-16ecb461ed56 · outbound
This paper cites Open Graph Benchmark: Datasets for Machine Learning on Graphs.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Open Graph Benchmark: Datasets for Machine Learning on Graphs
Reference 7
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:51:09.449829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 26775c8c-8283-4324-89e1-71f909d684a4 · outbound
This paper cites What’s behind the mask: Understanding masked graph modeling for graph autoen- coders.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning What’s behind the mask: Understanding masked graph modeling for graph autoen- coders
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.073599Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f9e388fa-61bf-4c8c-a05a-221408eec8e6 · outbound
This paper cites Model-free graph data selection under distribution shift.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Model-free graph data selection under distribution shift
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.076735Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 9eef1ffd-1c79-433b-96bc-7d2e56339a79 · outbound
This paper cites Rethinking tokenizer and decoder in masked graph mod- eling for molecules.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Rethinking tokenizer and decoder in masked graph mod- eling for molecules
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.082561Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 77c2cd73-43a2-4e4b-84b7-16adf6daa809 · outbound
This paper cites Where to mask: Structure-guided masking for graph masked autoen- coders.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Where to mask: Structure-guided masking for graph masked autoen- coders
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.147914Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 209f5b36-cb0a-42c9-af45-ab624049b08b · outbound
This paper cites Graph positional autoen- coders as self-supervised learners.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Graph positional autoen- coders as self-supervised learners
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.066761Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation db22a2ef-f1ec-4a6e-b998-2806cbab522d · outbound
This paper cites Hi-gmae: Hierarchical graph masked autoencoders.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Hi-gmae: Hierarchical graph masked autoencoders
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.063214Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 401f8108-0e9a-49a1-b02f-f365fc3e7280 · outbound
This paper cites Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, and Marion Neumann.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Kriege, Franka Bause, Kristian Kersting, Petra Mutzel, and Marion Neumann
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.070293Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 6da8f687-68d5-4324-9a48-088e92776444 · outbound
This paper cites Biot5: Enriching cross-modal integration in biology with chemical knowledge and natural language associations.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Biot5: Enriching cross-modal integration in biology with chemical knowledge and natural language associations
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.086549Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 08a70653-68ca-49f0-a92b-f92447af8e64 · outbound
This paper cites Recipe for a general, powerful, scalable graph transformer.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Recipe for a general, powerful, scalable graph transformer
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.108674Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fd203373-6201-4bb5-a408-1a46bf956180 · outbound
This paper cites Adversarial contrastive graph masked autoencoder against graph structure and feature dual attacks.Proceed- ings of the AAAI Conference on Artificial Intelligence.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Adversarial contrastive graph masked autoencoder against graph structure and feature dual attacks.Proceed- ings of the AAAI Conference on Artificial Intelligence
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.098440Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 1ce62a69-0db5-41d8-829d-34dc6c8b6601 · outbound
This paper cites Gigamae: Generalizable graph masked autoencoder via collaborative latent space reconstruction.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Gigamae: Generalizable graph masked autoencoder via collaborative latent space reconstruction
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.059456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation f53c590b-9415-4047-adad-65f4473a4a33 · outbound
This paper cites Zinc 15–ligand discovery for everyone.J.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Zinc 15–ligand discovery for everyone.J
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.140829Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 025a420d-5350-4cba-81c0-ffe96f3848c8 · outbound
This paper cites S2gae: Self-supervised graph autoencoders are generalizable learn- ers with graph masking.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning S2gae: Self-supervised graph autoencoders are generalizable learn- ers with graph masking
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.055421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation d332e922-3b95-4540-80dc-3dc10968dfd5 · outbound
This paper cites Rethinking graph masked autoencoders through alignment and uniformity.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Rethinking graph masked autoencoders through alignment and uniformity
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.105535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation aa4eb79a-d0e8-46fc-8c0e-be7dd2e8f21a · outbound
This paper cites Feinberg, Joseph Gomes, Caleb Geniesse, Aneesh S.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Feinberg, Joseph Gomes, Caleb Geniesse, Aneesh S
Reference 22
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- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.151640Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 5f390eb9-61bd-41ce-a6e5-4254c3e7d3d5 · outbound
This paper cites an unresolved cited work.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Unresolved cited work
Reference 23
- Resolution
- unresolved
- raw_fallback, observed 2026-05-26T01:56:30.133918Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 563581d0-380e-4e4e-81bc-25cec9187448 · outbound
This paper cites A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning A Survey of Pretraining on Graphs: Taxonomy, Methods, and Applications
Reference 24
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:51:09.440572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation ebdfc0f1-38ee-45ea-8ed1-ff9289fe22df · outbound
This paper cites Does graph distillation see like vision dataset counter- part? InThirty-seventh Conference on Neural Information Processing Systems.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Does graph distillation see like vision dataset counter- part? InThirty-seventh Conference on Neural Information Processing Systems
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-05-26T01:56:30.137543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation fe6e64f0-95c4-47e0-bea3-45b92e30520f · outbound
This paper cites Do transformers really perform badly for graph representation? InConf.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Do transformers really perform badly for graph representation? InConf
Reference 26
- Resolution
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- raw_fallback, observed 2026-05-26T01:56:30.119244Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 184b0319-0da7-4ae4-8cb9-214b5c038b6a · outbound
This paper cites Graph con- trastive learning with augmentations.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Graph con- trastive learning with augmentations
Reference 27
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- raw_fallback, observed 2026-05-26T01:56:30.115595Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 95cfdbe9-b166-49e9-8ca5-25b4ee5eb3f2 · outbound
This paper cites GDer: Safeguarding efficiency, balancing, and robustness via pro- totypical graph pruning.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning GDer: Safeguarding efficiency, balancing, and robustness via pro- totypical graph pruning
Reference 28
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- raw_fallback, observed 2026-05-26T01:56:30.122960Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Observation 8b4690e9-73bc-4141-9bca-1f96d2d6fe9e · outbound
This paper cites Protom- gae: Prototype-aware masked graph auto-encoder for graph representation learning.ACM Trans.
GraphSculptor: Sculpting Pre-training Coreset for Graph Self-supervised Learning Protom- gae: Prototype-aware masked graph auto-encoder for graph representation learning.ACM Trans
Reference 29
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- raw_fallback, observed 2026-05-26T01:56:30.126349Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.
Pith citing papers
No inbound Pith citation observations are available.