Pith. sign in

Paper Citation Record · LEDGER

Exphormer: Sparse Transformers for Graphs

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2303.06147.

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

pith.paper-citation-record.v1
2303.06147 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:31:06.983433Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T08:34:05.399226Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1e83061b-92de-4b0f-9253-9a19359ee684 · inbound

SFi-Former: Sparse Flow Induced Attention for Graph Transformer cites this paper.

SFi-Former: Sparse Flow Induced Attention for Graph Transformer Exphormer: Sparse Transformers for Graphs

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-16T05:31:06.983433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T05:31:06.983433Z digest=sha256:a43f9462b8f6ee608f1e9ae4235d7fdbf35c62662bc872b447bf4f067d2c3079

Observation cb6957e5-8bbc-4444-8a92-b460111dad60 · inbound

Fused3S: Fast Sparse Attention on Tensor Cores cites this paper.

Fused3S: Fast Sparse Attention on Tensor Cores Exphormer: Sparse Transformers for Graphs

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-15T22:07:36.828440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T22:07:36.828440Z digest=sha256:e28f143957377d9015ebf840f2a8a4e5d879be2768fc0eb7936d83cbbbb881e3

Observation a9709ad3-1509-4365-b89b-906901a7608d · inbound

Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures cites this paper.

Relational Deep Learning: Challenges, Foundations and Next-Generation Architectures Exphormer: Sparse Transformers for Graphs

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-15T19:25:38.107642Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:25:38.107642Z digest=sha256:59149570c59315d4ff94dd82dee3732c5b6d571a3a212a97dd8a16ff11b6f6be

Observation 94c5a557-81b6-47f1-8eb0-34fb6a3292c1 · inbound

Scalable and Adaptive Parallel Training of Graph Transformer on Large Graphs cites this paper.

Scalable and Adaptive Parallel Training of Graph Transformer on Large Graphs Exphormer: Sparse Transformers for Graphs

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:56:47.469468Z

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.

source=pdf_text observed=2026-05-10T06:54:30.798518Z digest=sha256:e88a1de0e75740769296458289661d5009ef07c8209e9b67e15fcd9f638c7b5e

Observation 77593740-36de-49f5-bb12-c0fa15037404 · inbound

Capacity-Controlled Global Attention for Graph Transformers cites this paper.

Capacity-Controlled Global Attention for Graph Transformers Exphormer: Sparse Transformers for Graphs

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:31:30.772558Z

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.

source=pdf_text observed=2026-05-10T06:27:24.557866Z digest=sha256:4fb36a790f0e430b295550badc01104cfd76be41a3f02c2cf2e0e121b827a276

Observation 034bb0e2-f37b-4321-88f2-9f0888bde703 · inbound

Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification cites this paper.

Graph Transductive Sharpening: Leveraging Unlabeled Predictions in Node Classification Exphormer: Sparse Transformers for Graphs

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-21T08:34:05.401042Z

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.

source=pdf_text observed=2026-05-21T08:32:32.410473Z digest=sha256:ab6a4fef29d7f0244a08aac6704fd6efaf1b6350e14588522fbbe5470981d85e