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Paper Citation Record · LEDGER

Cross-Resolution Semantic Learning for Graph Domain Adaptation

As of 12 August 2026, this Paper Citation Record lists 100 of 126 outbound references and 0 inbound Pith citation observations for arXiv:2607.29365.

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

pith.paper-citation-record.v1
2607.29365 v1

Coverage vector

measured 100 of 126 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T08:31:25.207209Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

100 of 126 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved100
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a0dbb87b-aa5e-4c86-9787-8f6c156910a7 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , year=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation IEEE Transactions on Pattern Analysis and Machine Intelligence , year=

Reference 1

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source=arxiv_source observed=2026-08-03T08:31:15.161727Z digest=sha256:48c3e4ee93df4b4ad41d67ae89a6b03867e704c222a89b132dd52f75d61ea2e1

Observation 61e8c0a9-dad1-46ff-95aa-9c0074383bb2 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 2

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source=arxiv_source observed=2026-08-03T08:31:15.286034Z digest=sha256:11e7f9e310e7da658b32b85c064fc816ff2a23399714dacd179dfca013c43f01

Observation d476f814-5bbc-4399-9e1c-482d11facd15 · outbound

This paper cites 2023 , organization=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation 2023 , organization=

Reference 3

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source=arxiv_source observed=2026-08-03T08:31:15.416071Z digest=sha256:f7ccb0fb1384953ced80c8a7cc4f9c3a1d91ba34351edbba15ffb3e4df1663cd

Observation f1f0c1bf-a0e5-46ff-b488-dd1f54ad502e · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 4

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Observation f1c94f61-187d-4055-a581-d67208e42709 · outbound

This paper cites arXiv preprint arXiv:2410.06883 , year=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation arXiv preprint arXiv:2410.06883 , year=

Reference 5

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source=arxiv_source observed=2026-08-03T08:31:15.688211Z digest=sha256:d58ef3a92dc61c818dafa670091244208948750e289d80182a30516c837d6ef2

Observation 83ac2d73-5541-4f95-96f1-8788eefda5c8 · outbound

This paper cites Advances in neural information processing systems , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Advances in neural information processing systems , volume=

Reference 6

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source=arxiv_source observed=2026-08-03T08:31:15.830278Z digest=sha256:5f0227905265e3bfcdf830f48e1a04c1181893c8146fa96a9a0e5f81a939707d

Observation f2824e7e-aa97-4103-8bc4-25cbc2fb21ec · outbound

This paper cites DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation.

Cross-Resolution Semantic Learning for Graph Domain Adaptation DisRFM: Polar Riemannian Flow Matching for Structure-Preserving Graph Domain Adaptation

Reference 7

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Observation d2ac7e7a-e252-4db8-bc9a-882b9ec6e0c1 · outbound

This paper cites 2010 , publisher=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation 2010 , publisher=

Reference 8

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Observation ca0b05d8-7d69-4835-989e-9305cd86c455 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 9

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Observation 0ef2dfb0-3cd1-4f09-bd25-9dbf9224a83f · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 10

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Observation 55c87c7a-443c-4022-b01c-d1f8c114d115 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 11

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Observation 93b69c0b-0a22-427b-bc28-f85c34bbdd3e · outbound

This paper cites IEEE Transactions on Geoscience and Remote Sensing , year=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation IEEE Transactions on Geoscience and Remote Sensing , year=

Reference 12

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Observation 5c670a66-2816-4006-9909-fa768e3f8fee · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 13

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Observation 9dc781cc-b565-4d5e-b03a-97b304551103 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation IEEE Transactions on Neural Networks and Learning Systems , volume=

Reference 14

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Observation 1b9959a5-cc95-4a7f-9d81-afea550acf19 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 15

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Observation 88a53e36-33b9-4dcc-bc5f-4371096a2b48 · outbound

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Cross-Resolution Semantic Learning for Graph Domain Adaptation Machine learning , year=

Reference 16

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Observation a268657e-b307-42a9-a420-5b8050bcd64f · outbound

This paper cites IEEE Transactions on Information Theory , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation IEEE Transactions on Information Theory , volume=

Reference 17

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Observation 00f1146a-2e6e-4927-9033-c0a094fe8c5a · outbound

This paper cites Foundations and Trends.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Foundations and Trends

Reference 18

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Observation 64cb401d-8820-4e09-9438-aeae97554a81 · outbound

This paper cites 2018 , publisher=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation 2018 , publisher=

Reference 19

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Observation 903aa331-2f2b-4deb-8131-fc1541631b8b · outbound

This paper cites 2023 , organization=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation 2023 , organization=

Reference 20

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Observation ae9e7046-701f-441a-a1cd-5b3bd2d1aa5d · outbound

This paper cites 2024 , pages=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation 2024 , pages=

Reference 21

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Observation dd972243-2397-4abe-a6a7-fbb63ead5600 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 22

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source=arxiv_source observed=2026-08-03T08:31:17.353120Z digest=sha256:ab2a7756dcded9021565cb456a0510d63c72090821df5b41f978388c119c5205

Observation 13b6674f-0d06-4d34-b7f4-d9b28f766246 · outbound

This paper cites On the Benefits of Attribute-Driven Graph Domain Adaptation.

Cross-Resolution Semantic Learning for Graph Domain Adaptation On the Benefits of Attribute-Driven Graph Domain Adaptation

Reference 23

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Observation 1bad7861-1cf6-4d2a-90b5-590c7f4a06d4 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 24

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Observation 3da1b5a7-1017-47e0-8819-d77309fbcd2a · outbound

This paper cites Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Graph Learning under Distribution Shifts: A Comprehensive Survey on Domain Adaptation, Out-of-distribution, and Continual Learning

Reference 25

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Observation aa81153a-c318-4702-9bc2-d677589fc696 · outbound

This paper cites ACM Transactions on Knowledge Discovery from Data , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation ACM Transactions on Knowledge Discovery from Data , volume=

Reference 26

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Observation 3c116901-189a-46c5-8672-206b461cfdf0 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 27

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Observation b719799f-a16c-459c-a229-3b13b4cec7d7 · outbound

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Cross-Resolution Semantic Learning for Graph Domain Adaptation IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 28

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Observation 98aebadb-2117-4d49-8304-020b778c8913 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 29

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Observation 23a9a2d5-62d4-4c2e-b7a7-0c6b94190763 · outbound

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Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 30

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Observation d523fd91-69b0-40fc-ab20-71a650d2e0e0 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 31

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Observation 7f1a97c9-e0d6-4444-9829-f2903677bbaf · outbound

This paper cites IEEE Transactions on Artificial Intelligence , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation IEEE Transactions on Artificial Intelligence , volume=

Reference 32

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Observation d711a45e-1490-412d-8997-d013fb6e27ac · outbound

This paper cites ACM Transactions on Intelligent Systems and Technology , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation ACM Transactions on Intelligent Systems and Technology , volume=

Reference 33

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Observation a9acce91-db5f-4d32-a300-2ca0581c55a2 · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 34

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Observation 0699f01f-a638-4d5a-a707-84e263a5e245 · outbound

This paper cites IEEE transactions on knowledge and data engineering , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation IEEE transactions on knowledge and data engineering , volume=

Reference 35

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Observation 4ae0836d-d336-486d-935d-607187227081 · outbound

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Cross-Resolution Semantic Learning for Graph Domain Adaptation IEEE transactions on neural networks and learning systems , volume=

Reference 36

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Observation 3d0efb40-5f3e-4310-8620-250c44069fd5 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 37

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Observation fe19767b-c15f-4694-a966-0ddd751cd4ad · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 38

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Observation 4ba40107-4f50-42f4-a06f-4c728ee064a9 · outbound

This paper cites SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation.

Cross-Resolution Semantic Learning for Graph Domain Adaptation SPA++: Generalized Graph Spectral Alignment for Versatile Domain Adaptation

Reference 39

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Observation 2b1c9b69-049c-4176-a830-5c37ecaa35cd · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 40

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Observation ed188c86-d2e0-40e5-9548-742ade262b91 · outbound

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Cross-Resolution Semantic Learning for Graph Domain Adaptation Neurocomputing , volume=

Reference 41

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source=arxiv_source observed=2026-08-03T08:31:19.821519Z digest=sha256:92793e0dfcd13aad7c2d3cd3c0d1d57dd4f1f6e59145262d702e84177ce01f3b

Observation 945a4a71-d25d-4dec-b217-b04da32988a4 · outbound

This paper cites 2015 , organization=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation 2015 , organization=

Reference 42

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source=arxiv_source observed=2026-08-03T08:31:19.870766Z digest=sha256:db68dfefb8eb8fb34392ec32a3ef38bef9078b3f6ab4e362a892e2e6076bfefc

Observation 9eff08c3-4132-4238-91b3-95aa157265d9 · outbound

This paper cites VisDA: The Visual Domain Adaptation Challenge.

Cross-Resolution Semantic Learning for Graph Domain Adaptation VisDA: The Visual Domain Adaptation Challenge

Reference 43

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source=arxiv_source observed=2026-08-03T08:31:19.958744Z digest=sha256:729b56eb217ec9c023855300a49d5fb9df636186076fabe072c775de13c41263

Observation c81c5d57-82f9-4ed4-837e-b7f826aefec8 · outbound

This paper cites ACM Transactions on Intelligent Systems and Technology (TIST) , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation ACM Transactions on Intelligent Systems and Technology (TIST) , volume=

Reference 44

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source=arxiv_source observed=2026-08-03T08:31:20.022069Z digest=sha256:80550b01aa63ead3986514967db7e9c359a82e13345f259cf8936029c26dec00

Observation 13c1dc7d-f3eb-48f5-bfb7-6ee4ec71304a · outbound

This paper cites 2019 , organization=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation 2019 , organization=

Reference 45

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source=arxiv_source observed=2026-08-03T08:31:20.098869Z digest=sha256:cc83e10eb3c7fbd924e580ff7c5f80206564fdba60dd98e7eae8deb5e414c21c

Observation 0cecaea9-8dd5-4284-82db-e97874bd3c44 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 46

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source=arxiv_source observed=2026-08-03T08:31:20.198578Z digest=sha256:d13ed2d1a42052e09b9d8c6dcd9e4b3aebfb74aaec6ee46998e7796b7770e76f

Observation 29e93fe0-1fbd-4498-82c0-e11654bad1ef · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 47

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source=arxiv_source observed=2026-08-03T08:31:20.274437Z digest=sha256:5a7f97fc5d84459733c4ecd70e8da68498f0d01ae9d9dfeeff306e0210f77e43

Observation 8fa116d5-559c-4b38-896d-8f6af61872b5 · outbound

This paper cites IEEE transactions on neural networks and learning systems , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation IEEE transactions on neural networks and learning systems , volume=

Reference 48

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source=arxiv_source observed=2026-08-03T08:31:20.339197Z digest=sha256:25d7c8fdec9e616327db7c09c05b3364bf9fa9e4b9f106d09e8121fb71520a2c

Observation f3b8e718-4ccb-4713-a01a-53806a63a09e · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 49

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source=arxiv_source observed=2026-08-03T08:31:20.416225Z digest=sha256:fa8d38384499088b7365e222b99fb81a29387007e2e139459d038b9aba305fbb

Observation 4bf937c0-c05c-49dd-a75a-8de3e55004ff · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 50

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source=arxiv_source observed=2026-08-03T08:31:20.486557Z digest=sha256:9bbcee9ceb267c0721878fc6e0eb6f182a953a8709ab503037d20821716afe94

Observation ff6afd87-dc9a-4de2-85c6-fe02c7ba7c46 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 51

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source=arxiv_source observed=2026-08-03T08:31:20.568477Z digest=sha256:bf49cfc693936ad368ab7f05b9ddc4a18b5108fbb50902ff6782ee154a58ec06

Observation ef77eb87-7026-4c17-8149-e15588f50b0f · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 52

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source=arxiv_source observed=2026-08-03T08:31:20.667397Z digest=sha256:1618a91059d70c121eae87bb9e419cfa6ff48f6e688dff523c6bc7a8f91b1a78

Observation 67a872d3-33a5-4544-a61c-f6180c0191ea · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 53

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source=arxiv_source observed=2026-08-03T08:31:20.737469Z digest=sha256:c4e30d04cdf4e8556284b569c6a278656432d2b5c91f076643acd58c65cbfdd8

Observation 7c4b38f1-539b-4a6b-9fba-a8121954c823 · outbound

This paper cites ACM Computing Surveys , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation ACM Computing Surveys , volume=

Reference 54

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source=arxiv_source observed=2026-08-03T08:31:20.848162Z digest=sha256:832d53778171325072e9523f84d5d98a0bdacc52113076ecc83fbbe5ca0ac436

Observation 63b4acd5-1437-413a-bf62-048f01f5375c · outbound

This paper cites IEEE Transactions on Knowledge and Data Engineering , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation IEEE Transactions on Knowledge and Data Engineering , volume=

Reference 55

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source=arxiv_source observed=2026-08-03T08:31:20.917584Z digest=sha256:5c32cb6d925f14e721582d6b1fe6eaa092f3d398db2825166dfe198139a839fa

Observation c4a6de30-07a7-4d35-bbc2-75cc9b44e55d · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 56

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no resolver link, observed 2026-08-03T08:31:21.026153Z

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source=arxiv_source observed=2026-08-03T08:31:21.026153Z digest=sha256:76b422c58f9a9144c13812797682fb889426f8e6bf69625e014429144b79862c

Observation 2c10e146-0f38-46f5-8a06-9facdf88cb3c · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 57

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source=arxiv_source observed=2026-08-03T08:31:21.070950Z digest=sha256:b6e358f061cc477f79dd7f40f06b0caea02854ffc49b83ebf25385b0dc03e704

Observation d4e9ce64-93ac-4e9c-b005-588df0d53070 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 58

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no resolver link, observed 2026-08-03T08:31:21.119833Z

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source=arxiv_source observed=2026-08-03T08:31:21.119833Z digest=sha256:21f1e4a3a78a7726ba51f0544aa4257d514c6cdd40df54ff8df964c864e09fcb

Observation 6d60d1fc-f78e-4e52-a1e8-c66a4dbf0115 · outbound

This paper cites IEEE Transactions on Image Processing , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation IEEE Transactions on Image Processing , volume=

Reference 59

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no resolver link, observed 2026-08-03T08:31:21.135199Z

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source=arxiv_source observed=2026-08-03T08:31:21.135199Z digest=sha256:e663d4b09811c369151aac4c4fa99155b5f63a914bce5b1147461809f55f91f4

Observation d2fc3a06-a703-4edf-ac25-9bdc30a76419 · outbound

This paper cites Pattern Recognition , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Pattern Recognition , volume=

Reference 60

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source=arxiv_source observed=2026-08-03T08:31:21.249613Z digest=sha256:6954bd8a213aa68bdcf6cb40baa5e05446ba4109f600ca67964ef08bb60220b1

Observation 2543e984-c950-472e-8ba5-b726a7d4cd7b · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 61

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no resolver link, observed 2026-08-03T08:31:21.416143Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:31:21.416143Z digest=sha256:317f01efef7e270e720250777223368d95ec3dc23a1e7e0c289a51ee43a81cf3

Observation 7ab49bd4-1f32-4347-9675-da3305c1ed9d · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 62

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source=arxiv_source observed=2026-08-03T08:31:21.531752Z digest=sha256:cd950ec0801cb504593f136140fe2b6340cab91e00a879309da0be7f1c8b7705

Observation a60c73ca-3e2d-4a8f-a345-44456e2083b9 · outbound

This paper cites arXiv preprint arXiv:2602.10489 , year=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation arXiv preprint arXiv:2602.10489 , year=

Reference 63

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source=arxiv_source observed=2026-08-03T08:31:21.691935Z digest=sha256:28b1ec5b8694fc570ac98d05188ce74232c9c400b185b6dc80562ddb668aa907

Observation 4392a787-08d4-4f89-83c2-0eb23d7211a8 · outbound

This paper cites arXiv preprint arXiv:2602.10506 , year=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation arXiv preprint arXiv:2602.10506 , year=

Reference 64

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source=arxiv_source observed=2026-08-03T08:31:21.888010Z digest=sha256:14d750a8e3305d088f0f5fb350588a1e25c3fdc9fb51e71dfd7da6d193b93209

Observation cda68160-f1bb-43bb-9f57-43d11733420b · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 65

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source=arxiv_source observed=2026-08-03T08:31:22.009020Z digest=sha256:1b77759dcef59ab7da1a17bf8b5682073d1877ba2fc44efa499580cf25e8389d

Observation 31bb79a9-557c-40fb-a29d-5cda91a51471 · outbound

This paper cites Graph Distillation with Eigenbasis Matching.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Graph Distillation with Eigenbasis Matching

Reference 66

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source=arxiv_source observed=2026-08-03T08:31:22.129826Z digest=sha256:a45521984a805dcf7a50a7d4f78a0cf0c3305c7809f8a4d5f1c01b3f8b003f11

Observation 3f20143f-4ddc-44c7-b089-fadae1e4cbae · outbound

This paper cites Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation

Reference 67

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:31:22.262899Z digest=sha256:35b591fd43bd0e38f74f98834ee96474f45c526805f277348ca2801a169212ae

Observation 236f34dd-fc45-40ac-a041-3226223c370e · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=

Reference 68

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no resolver link, observed 2026-08-03T08:31:22.395507Z

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source=arxiv_source observed=2026-08-03T08:31:22.395507Z digest=sha256:0e2c2acb07b2d7a107762a1e2009fc4cf1dc2731a3915b7ab1d15128511e5a65

Observation eeca6b70-bd98-42c7-bb5c-e0c8e9fce0e8 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 69

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:31:22.528432Z digest=sha256:a840e1f83a7edbfd5c48032a9c4437167d81965caeaa083afb12257969ac4f4c

Observation e03b5458-bc16-4082-980d-fc5413637ce5 · outbound

This paper cites Journal of Machine Learning Research , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Journal of Machine Learning Research , volume=

Reference 70

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source=arxiv_source observed=2026-08-03T08:31:22.659397Z digest=sha256:461b0572b7d551ce11e0c72de9db45667f119143a6be7bef38792f4b42350f3d

Observation bb12553f-113f-440c-9884-a8304a68cb52 · outbound

This paper cites 2021 , organization=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation 2021 , organization=

Reference 71

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:31:22.738273Z digest=sha256:725b32cc6fa4a17905d3976c68c765d9d62f60a6b2f6b6060089c36d31153b31

Observation 009757ef-bab7-453d-89ee-9ed18e10fa26 · outbound

This paper cites 2015 ieee information theory workshop (itw) , pages=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation 2015 ieee information theory workshop (itw) , pages=

Reference 72

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source=arxiv_source observed=2026-08-03T08:31:22.796340Z digest=sha256:f590192196e4902b6e15c68093c48153f196de40566f2b58721380dcd4b275d8

Observation f2dc4fe5-12d3-4a96-9078-7dc50f88efe0 · outbound

This paper cites Advances in applied probability , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Advances in applied probability , volume=

Reference 73

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source=arxiv_source observed=2026-08-03T08:31:22.844119Z digest=sha256:bd58056945c87f738363d56d69809b17f5b0bc1c133a28a7be69992370b64fa8

Observation 8220b46e-f15e-4e5d-8a6a-a03e86b45cb3 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 74

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source=arxiv_source observed=2026-08-03T08:31:22.920734Z digest=sha256:d6c9cc4ac1b5f353756f240196e346df5891dfedaad9cc3de3f547b67a720249

Observation 3fc05972-4ab1-4792-8a29-27ef1b62029b · outbound

This paper cites 2020 , organization=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation 2020 , organization=

Reference 75

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source=arxiv_source observed=2026-08-03T08:31:23.024891Z digest=sha256:92213da405f0dd41adcf6d2092388a7b255342f05eadaf3c01a3d355178cf8a2

Observation d030c3ec-8c40-490a-9eb5-a284ba4ce320 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 76

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no resolver link, observed 2026-08-03T08:31:23.111373Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:31:23.111373Z digest=sha256:639a9e003f6270c8e45f9095aa2e74ecebe72e8f6a8622e0113b119f59dd3259

Observation 8c7cb782-db51-4970-881a-53f2a5367063 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 77

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no resolver link, observed 2026-08-03T08:31:23.186536Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:31:23.186536Z digest=sha256:93f14fcfcfc11f3a576d4df08fbc7fa308347bd3b36bf3cb6f00060e936b63ce

Observation 5baf54f5-b5c2-4fa6-8aa0-0f2660c320cf · outbound

This paper cites Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pages=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Joint European Conference on Machine Learning and Knowledge Discovery in Databases , pages=

Reference 78

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:31:23.250959Z digest=sha256:094f1c1e99d73e1b587e5fadf951ab7e7e54c5954b56e5697c1ec46c2d80169c

Observation 60359907-d0d7-4b40-9357-9b994220b9f9 · outbound

This paper cites Communications of the ACM , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Communications of the ACM , volume=

Reference 79

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:31:23.337558Z digest=sha256:e55e6d52befcf6480e0aeb2c496df92762376298682b345e4889e7cb0c97fbf1

Observation 9de2b107-3754-4bdd-8286-0617c34bceea · outbound

This paper cites Journal of machine learning research , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Journal of machine learning research , volume=

Reference 80

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:31:23.418077Z digest=sha256:9e255d955d7b8e45f6af805427c00325227e8efe4d9ffd85977df64c591214cc

Observation a9e43dd8-60b8-4ebe-a7f2-238e1cdd843e · outbound

This paper cites Proceedings of the IEEE , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Proceedings of the IEEE , volume=

Reference 81

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:31:23.496997Z digest=sha256:835c1b40fb964e6fd941ac6abe81f7e3e9b1f96ffcb759e4fc38b30f43870103

Observation 4014305e-170b-4dbc-a05d-01be7ee399ca · outbound

This paper cites 2009 , publisher=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation 2009 , publisher=

Reference 82

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:31:23.573686Z digest=sha256:54ceaa7e33954dc356088112ac633f518df4d9f29767b76f93d93a951967e932

Observation 179ba480-ce9e-4aa3-9484-8c7c2ca1ff41 · outbound

This paper cites Journal of molecular biology , year=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Journal of molecular biology , year=

Reference 83

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T08:31:23.622027Z digest=sha256:bbeee2b43d6dcbdc91a4f26c78ee0cd52b97f522479a4fc790e420e0a9329b78

Observation a4a63424-69a5-434d-b7c3-03eddec56572 · outbound

This paper cites Journal of medicinal chemistry , year=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Journal of medicinal chemistry , year=

Reference 84

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Observation 10e7ee32-45d4-4894-84c5-a6be8ebde021 · outbound

This paper cites Knowledge and Information Systems , volume=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Knowledge and Information Systems , volume=

Reference 85

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Observation 042436a4-3805-44ca-afd9-ed14ef19549a · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 86

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Observation 152dbf20-e656-4a9f-a78e-5b5619d9106e · outbound

This paper cites OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs.

Cross-Resolution Semantic Learning for Graph Domain Adaptation OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs

Reference 87

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Observation 9f9c5ecd-e644-47f1-a665-4d966f0637a7 · outbound

This paper cites Discovering Invariant Rationales for Graph Neural Networks.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Discovering Invariant Rationales for Graph Neural Networks

Reference 88

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Observation 91eb7ff8-0b9b-42df-81a7-edaa155420b9 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 89

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Observation 7296f60c-9826-4fc5-a9cd-2c16aa906b4d · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 90

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Observation 8b5bc313-8e84-4942-8f8b-dcad75b1f422 · outbound

This paper cites 2020 , publisher=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation 2020 , publisher=

Reference 91

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Observation f25a17eb-6ba1-493b-97ff-dc386aaa6a28 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 92

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Observation c443f842-b918-4887-9658-a4228b3d2fee · outbound

This paper cites Homophily Enhanced Graph Domain Adaptation.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Homophily Enhanced Graph Domain Adaptation

Reference 93

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Observation 7d9f4300-d326-4d1f-abd0-b56c17bb137f · outbound

This paper cites 2023 , publisher=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation 2023 , publisher=

Reference 94

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source=arxiv_source observed=2026-08-03T08:31:24.718898Z digest=sha256:873a47fbf4939c2acf407e7a4bfe128f7bbd8e84b8d353ed9cfa7c11af06c7da

Observation 0eedf3c5-df68-480d-95b0-acbe1e0014bd · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 95

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source=arxiv_source observed=2026-08-03T08:31:24.794460Z digest=sha256:aa5fe5068ee19b6ab7b836f5eab8133a065dbdcd25488b39d49bdc8147b1f393

Observation f99e1af3-9480-450e-bf8f-73695dd4a8bb · outbound

This paper cites 2025 , organization=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation 2025 , organization=

Reference 96

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Observation 8a9d7877-716b-467b-85c6-c44e6f35a7dc · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 97

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source=arxiv_source observed=2026-08-03T08:31:24.967981Z digest=sha256:2e2618d97773d5c057a0c46e96df0bc35991aad0b4b6fe61e8b3178148307667

Observation 2a6c9134-315a-4748-b0bd-cdfb42fbd052 · outbound

This paper cites an unresolved cited work.

Cross-Resolution Semantic Learning for Graph Domain Adaptation Unresolved cited work

Reference 98

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source=arxiv_source observed=2026-08-03T08:31:25.048725Z digest=sha256:a51388c667a262731c1a94b12b27b77c52674bbd705d74e297bc851997888dd4

Observation b17e1f4e-e82f-4d7d-86dd-12907c199a84 · outbound

This paper cites 2022 , organization=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation 2022 , organization=

Reference 99

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source=arxiv_source observed=2026-08-03T08:31:25.130232Z digest=sha256:cd09dd12b220225b84e5b676e538d1d0baa0231398e79c2e987d7009065d6c8b

Observation 01af2e1b-4a0b-42ab-9394-7c15e6145bc8 · outbound

This paper cites 2022 , organization=.

Cross-Resolution Semantic Learning for Graph Domain Adaptation 2022 , organization=

Reference 100

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source=arxiv_source observed=2026-08-03T08:31:25.207209Z digest=sha256:08077abbc0124d9d951bde0324be7eb38a21e1025d83999879039d1e56790452

Pith citing papers

No inbound Pith citation observations are available.