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Paper Citation Record · LEDGER

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning

As of 6 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2509.06975.

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

pith.paper-citation-record.v1
2509.06975 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:36:36.483630Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4fca53e1-bf25-4c2a-80b0-6c750d4b900c · outbound

This paper cites Language Models are Few-Shot Learners.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Language Models are Few-Shot Learners

Reference 1

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Observation 932b8dee-9fbc-4e89-a8ba-d4186402a002 · outbound

This paper cites LLaGA: Large Language and Graph Assistant.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning LLaGA: Large Language and Graph Assistant

Reference 2

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source=pdf_text observed=2026-08-05T14:36:36.352585Z digest=sha256:56c79fba7502832bcbea12aa995795c88e84bf2d7b34150d08c2531c97514b46

Observation 486ae601-cbe7-4910-a486-8ac5158cba9a · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 3

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation ee8788a0-728d-429b-9275-a0c8b2c97cd2 · outbound

This paper cites Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Text-space Graph Foundation Models: Comprehensive Benchmarks and New Insights

Reference 4

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source=pdf_text observed=2026-08-05T14:36:36.359574Z digest=sha256:25b5697a1e388ea7b3a65142c84fc82bc3c81a14f3f632c0a593e9a2acab2def

Observation cc4b7467-4dff-4ae8-830e-b8bb1c7d0edd · outbound

This paper cites Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction

Reference 5

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Observation 53670a8c-3f80-42d0-ac37-117530bb5c55 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 6

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Observation 0b9feaa8-ad8c-4178-9504-77ad6bbf264f · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-05T14:36:36.369982Z digest=sha256:ff4ae64d1b47c53c0e976bd3be3801a2a56c4df13d27b593d20e415df61df5ee

Observation dea13c57-f712-46b6-9716-f4d32c3bfee9 · outbound

This paper cites Gir- shick.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Gir- shick

Reference 8

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 1afebc11-c2ae-4acf-ab56-d9dcc26381de · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 9

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation ba17047c-e610-4e2e-a3df-4dbbc5d5bb8f · outbound

This paper cites Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning

Reference 10

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Observation dd5a0c95-dfb5-4c0f-9839-21670769c9db · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 11

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Observation f7cc3591-f2f8-45ca-8c11-12590b1c9bdb · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 12

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Observation 824052e2-e83e-4a1d-9cc4-0d83efdc26af · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-05T14:36:36.387836Z digest=sha256:615b9a0a5acc4fbbeaaa0b8f8e84e5ef8c860d5cd99b47ecd60bd4536ee313b4

Observation c1836bcd-2a87-4dee-82ef-d2913ce930ce · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 14

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation b3226ef9-d7c8-4b1d-94be-a1fe3ff1020d · outbound

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

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Semi-Supervised Classification with Graph Convolutional Networks

Reference 15

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Observation 4dd2b918-5c08-4438-933c-508d1bb60521 · outbound

This paper cites Variational Graph Auto-Encoders.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Variational Graph Auto-Encoders

Reference 16

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Observation fd86b9a6-a453-4d86-b3e7-73147fea92da · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 7ab4d6b6-e396-4e36-b2eb-15e6cdb2406b · outbound

This paper cites GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning GRENADE: Graph-Centric Language Model for Self-Supervised Representation Learning on Text-Attributed Graphs

Reference 18

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 089eb357-7d6b-4f6d-b599-2808773a4245 · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 19

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation e9c0a918-ce5c-4d5b-87ac-b462cd8191ce · outbound

This paper cites One for All: Towards Training One Graph Model for All Classification Tasks.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning One for All: Towards Training One Graph Model for All Classification Tasks

Reference 20

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Observation 1d34e6dc-5122-484a-a994-3764da8c06eb · outbound

This paper cites Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Do Neural Scaling Laws Exist on Graph Self-Supervised Learning?

Reference 21

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Observation 7e8155ab-add7-43d4-ae0d-b4d2a1b2e38f · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 4413ea79-acaa-466a-9b91-e85749a56f51 · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 23

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Observation 5bd32a40-5bac-476d-b83d-5dfe17047fc6 · outbound

This paper cites Efficient Estimation of Word Representations in Vector Space.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Efficient Estimation of Word Representations in Vector Space

Reference 24

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Observation 2f05f078-a47c-496b-8101-ea6e8b840e03 · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 25

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Observation 17581553-dc96-4ec5-8e29-ea28c4fd1534 · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 26

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Observation 95fecc18-5c8d-4db5-b539-6015549b1ba7 · outbound

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

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 27

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Observation c2c6f6b7-6ce2-44c9-8dbc-a6b526c832d4 · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 28

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No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 886685ef-f648-4e2a-9d00-c6c4697ba2b5 · outbound

This paper cites A Pure Transformer Pretraining Framework on Text-attributed Graphs.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning A Pure Transformer Pretraining Framework on Text-attributed Graphs

Reference 29

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Observation 1416c59e-b6f3-4307-b52f-1c7cc4e80bd1 · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 30

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Observation 1e83c5f0-e14c-41b1-a1cb-1b6ff6e47129 · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 31

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Observation 031daf69-dc85-4349-a71c-ecd3f5a399e9 · outbound

This paper cites Graph Prompt Learning: A Comprehensive Survey and Beyond.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Graph Prompt Learning: A Comprehensive Survey and Beyond

Reference 32

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Observation fe6b8eec-d1aa-43fe-ac2c-e12cfcd7916e · outbound

This paper cites Large-Scale Representation Learning on Graphs via Bootstrapping.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Large-Scale Representation Learning on Graphs via Bootstrapping

Reference 33

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Observation 8f3757fb-d244-40a9-85b1-b5071e9fdb9c · outbound

This paper cites Graph Attention Networks.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Graph Attention Networks

Reference 34

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Observation 0d222af6-c28a-4d27-9a3a-9265724dd365 · outbound

This paper cites Deep Graph Infomax.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Deep Graph Infomax

Reference 35

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Observation 2dd08f88-69d0-4a16-8554-553e2b7df6fa · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 36

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Source-reported events for the cited work

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Observation a57b62e3-ff3c-4bda-9128-1a933f025342 · outbound

This paper cites AnyGraph: Graph Foundation Model in the Wild.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning AnyGraph: Graph Foundation Model in the Wild

Reference 37

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 11150670-fe38-4ee3-856a-336896dc3230 · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 38

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 76a867c0-a2d5-4f90-a765-a235c084c41d · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 39

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unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Observation 2ee9addd-9252-4d16-bca8-53dc83631306 · outbound

This paper cites Learning on Large-scale Text-attributed Graphs via Variational Inference.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Learning on Large-scale Text-attributed Graphs via Variational Inference

Reference 40

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 9ba7fc71-b303-4c0e-80ac-d745b48b6d71 · outbound

This paper cites Deep Graph Contrastive Representation Learning.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Deep Graph Contrastive Representation Learning

Reference 41

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 23ff1e83-b507-4e6c-9cb0-d1f675cdc181 · outbound

This paper cites an unresolved cited work.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning Unresolved cited work

Reference 42

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 75e79935-b82f-45f5-b14a-62d8a6232d13 · outbound

This paper cites ProG: A Graph Prompt Learning Benchmark.

GSTBench: A Benchmark Study on the Transferability of Graph Self-Supervised Learning ProG: A Graph Prompt Learning Benchmark

Reference 2024

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

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Pith citing papers

No inbound Pith citation observations are available.