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Paper Citation Record · LEDGER

GraphiT: Encoding Graph Structure in Transformers

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2106.05667.

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

pith.paper-citation-record.v1
2106.05667 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:32:38.737272Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:20:06.738981Z

Reference resolution

0 of 0 outbound references displayed

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  • malformed identifier0
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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 70031992-0d0d-440d-b50d-1f6ad135abce · inbound

A Decision Transformer Approach to Grain Boundary Network Optimization cites this paper.

A Decision Transformer Approach to Grain Boundary Network Optimization GraphiT: Encoding Graph Structure in Transformers

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T11:32:38.737272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T11:32:38.737272Z digest=sha256:b73154b43b5abffa5b27d99caa3221448b1add980b2f12befa4127fe6829f688

Observation 34d9d24e-ccfd-491c-986d-6cd23e1878f9 · inbound

A Generalizable Anomaly Detection Method in Dynamic Graphs cites this paper.

A Generalizable Anomaly Detection Method in Dynamic Graphs GraphiT: Encoding Graph Structure in Transformers

Reference 32

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unresolved
no resolver link, observed 2026-08-11T10:37:43.674224Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T10:37:43.674224Z digest=sha256:0871b7e53f6faa28aae68430a1cbafb89f09bc92e31781c5f48bb63e913fa2b1

Observation 71f4da05-3f6c-43eb-a0d9-d7a11473fd5a · inbound

Learning Efficient Positional Encodings with Graph Neural Networks cites this paper.

Learning Efficient Positional Encodings with Graph Neural Networks GraphiT: Encoding Graph Structure in Transformers

Reference 42

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unresolved
no resolver link, observed 2026-08-09T16:39:10.618899Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:39:10.618899Z digest=sha256:017adba9cd7178c1be0de1645ebadc1a8c13523e6c12dee3ee2c5ec5c2a40e80

Observation 3f6b55b1-455d-4d31-82fb-b64d202328b6 · inbound

DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale cites this paper.

DeepGate4: Efficient and Effective Representation Learning for Circuit Design at Scale GraphiT: Encoding Graph Structure in Transformers

Reference 2024

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unresolved
no resolver link, observed 2026-08-09T18:13:53.938803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:13:53.938803Z digest=sha256:295d015bb0aba25a6ae30080291f8f86ce1a5057af65e624b4a41774bfe4e3f5

Observation 6324f243-f5d1-4d27-b08b-7963a699fbf3 · inbound

Biologically Plausible Brain Graph Transformer cites this paper.

Biologically Plausible Brain Graph Transformer GraphiT: Encoding Graph Structure in Transformers

Reference 2000

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unresolved
no resolver link, observed 2026-08-07T23:09:48.780201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T23:09:48.780201Z digest=sha256:6b13e62f9d4b7fc137b24b23f82bb981917df8910c483e64374ad484c8027e68

Observation b583f1b8-462b-4684-b7a2-bfb577609fff · inbound

Simple Path Structural Encoding for Graph Transformers cites this paper.

Simple Path Structural Encoding for Graph Transformers GraphiT: Encoding Graph Structure in Transformers

Reference 38

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unresolved
no resolver link, observed 2026-08-07T21:50:23.486140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:50:23.486140Z digest=sha256:bf260322b0c42eb64902b1b393a9cb43ebae13d9b6f54ee26f2142528110411f

Observation 7c6c03c8-7764-407a-8908-3c81b6c9681f · inbound

SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps cites this paper.

SpectralGap: Graph-Level Out-of-Distribution Detection via Laplacian Eigenvalue Gaps GraphiT: Encoding Graph Structure in Transformers

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T15:28:54.016306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:28:54.016306Z digest=sha256:b79dcc317634806d873499a820ef3979bdd499b72de4985bac9bbbdff948345d

Observation 9b47b077-6dfc-40c8-bbc6-2a9a36e99e8d · inbound

Graph Positional Autoencoders as Self-supervised Learners cites this paper.

Graph Positional Autoencoders as Self-supervised Learners GraphiT: Encoding Graph Structure in Transformers

Reference 37

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unresolved
no resolver link, observed 2026-08-07T12:54:21.180485Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:54:21.180485Z digest=sha256:5710d5c1ab65198bdf02fefda3b3e981f934050aedd71228a20533db982fa117

Observation bb0c9967-5c5a-4580-942c-116aee86c45e · inbound

Vector Representations of Vessel Trees cites this paper.

Vector Representations of Vessel Trees GraphiT: Encoding Graph Structure in Transformers

Reference 20

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no resolver link, observed 2026-08-07T04:39:02.105214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T04:39:02.105214Z digest=sha256:7c8bae456d1d1ef548d0e393212be4b0e3fa363aa6031e22ff07536b45b739ce

Observation 18ea0ae0-ee5c-4491-b1f4-99404d38d970 · inbound

GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations cites this paper.

GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations GraphiT: Encoding Graph Structure in Transformers

Reference 29

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unresolved
no resolver link, observed 2026-08-07T00:29:33.580126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:29:33.580126Z digest=sha256:1fa352dd0446591f7ade024169c1c168549367ee39a9c60a0c1c567768e49b18

Observation 92883081-ae46-4273-94f2-1cda1cd40b4c · inbound

SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding cites this paper.

SaGIF: Improving Individual Fairness in Graph Neural Networks via Similarity Encoding GraphiT: Encoding Graph Structure in Transformers

Reference 46

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unresolved
no resolver link, observed 2026-08-06T23:21:08.147552Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:21:08.147552Z digest=sha256:49db766b434d649a0d8bdde0e2a54dccd0d42a28c6bfb2b62a12ff2ea3907341

Observation bbb1431c-d5de-4f0d-b007-95dd3697ea7a · inbound

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction cites this paper.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction GraphiT: Encoding Graph Structure in Transformers

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T11:40:52.383871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:40:52.383871Z digest=sha256:7e7867b14200c98d52f102de3d41c3719051d5017eadffbd353bb81dae99acfa

Observation 4170e189-5e4e-412a-86c9-c989d02c8052 · inbound

Logarithmic High-Probability Regret for Online Convex Optimization with Two-Point Bandit Feedback cites this paper.

Logarithmic High-Probability Regret for Online Convex Optimization with Two-Point Bandit Feedback GraphiT: Encoding Graph Structure in Transformers

Reference 13

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unresolved
no resolver link, observed 2026-07-13T18:29:24.972060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T18:29:24.972060Z digest=sha256:b7deb81a23082e7ae9b01635c61842515251a72cb972fe63c04d5b0546876d8f

Observation 89788fb0-9206-4eab-8b97-bfe6616d0797 · inbound

RADE: Random Add-Drop Edge as a Regularizer cites this paper.

RADE: Random Add-Drop Edge as a Regularizer GraphiT: Encoding Graph Structure in Transformers

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-06-28T18:52:30.653378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T18:52:19.793583Z digest=sha256:d3e9b81c575dedbe6dc6b916c6a8216245f8c53bf4de9039c890b37eb808a401

Observation 7dd5704a-c9d2-4290-8dc7-cd2d386bdf3b · inbound

Communicability-Inspired Positional Encoding (CIPE) cites this paper.

Communicability-Inspired Positional Encoding (CIPE) GraphiT: Encoding Graph Structure in Transformers

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:20:06.740541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-25T21:29:26.998959Z digest=sha256:93a35d84c9d6570bd08e7aca38cd7277767981b8a1594542025d047188a98451