Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:10:36.390141Z
Paper Citation Record · LEDGER
As of 9 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2508.07489.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:10:36.390141Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-05-19T23:33:21.861614Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-19T23:37:52.964818Z
56 of 56 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 3fa44e81-72ee-42c5-b8f5-1f502ee5821b · outbound
Recovering link-weight structure in complex networks with weight-aware random walks These networks primarily come from three categories: synthetic graph models, real- world networks, and complete graphs
Reference 1
Source-reported events for the cited work
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Observation b9ccf24d-43a9-4625-9b81-036ca5e9ccff · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Two of these strategies incorporated edge weights as a bias for transition probabilities, thereby increasing the likelihood of traversing higher-weight connections
Reference 2
Source-reported events for the cited work
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Observation c6cda035-f5cd-4330-a41d-da9e47b24e9b · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Then we apply the same logic behind Node2Vec, in which such sequences are fed into the Word2Vec, traditionally used in language processing
Reference 3
Source-reported events for the cited work
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Observation 65a95bb9-1061-4ec8-baaf-a9a738c848dc · outbound
Recovering link-weight structure in complex networks with weight-aware random walks To assess this, we compute the cosine similarity between all connected node pairs in the em- beddings generated for each combination of graph and random walk technique
Reference 4
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Observation 6ec6fb37-c622-4663-b016-dc3482c6c8a9 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Each graph varied in size, following powers of 2, ranging from 128 to 4096 nodes, and the average node degree between 2 and 32, using the same logic
Reference 5
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Observation 16bfacee-7146-44a0-8478-7b1bc70942f4 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks We also restricted the selection to networks with fewer than 5,000 nodes
Reference 6
Source-reported events for the cited work
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Observation 00ccce3d-fec7-4ac8-9f78-9fa5cabce71b · outbound
Recovering link-weight structure in complex networks with weight-aware random walks We began by generating a random feature matrix, where each row represents a node and each column corresponds to a feature dimension
Reference 7
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Observation 0d300cdc-7401-4476-bf36-dadc6cde6106 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 8
Source-reported events for the cited work
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Observation 15d3013a-38e5-4ab8-9159-3bbe2b08f51d · outbound
Recovering link-weight structure in complex networks with weight-aware random walks This analysis was conducted on networks composed of 2048 nodes
Reference 9
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Observation c2c5e29b-5888-428a-bef9-ef6ab4cc908f · outbound
Recovering link-weight structure in complex networks with weight-aware random walks For this analysis, we used a fixed graph size of 2048 nodes with an average node degree of 16
Reference 10
Source-reported events for the cited work
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Observation 283f5838-20a6-4cd4-b1d1-3f637d632d8c · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Al-Saqqa and A
Reference 11
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Observation 372fa7c9-d187-4930-9345-f2c861cf4c6d · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 12
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Observation a7d16e3a-aed1-4905-a963-87c7d0fcc31b · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 13
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Observation 2de397c8-21fa-4745-9193-7e393ecf1b62 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Barabaasi and R
Reference 14
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Observation a6cbfff8-40fb-479f-bbd8-96daa137abe7 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Barbour, S
Reference 15
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Observation d29a57be-af3e-43d6-86bc-949141b6e4a8 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Belkin and P
Reference 16
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Observation 333bc4cf-2a9e-4f32-b5fb-60c90b329626 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Bengio, R
Reference 17
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Observation 733a8293-22f3-496d-bae9-833676d54431 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 18
Source-reported events for the cited work
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Observation 69c8e7bc-c283-4df1-96ea-92d743c0bd13 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 19
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Observation 37861a9b-5f8e-4dce-b2f0-ee31edc1f9b8 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 20
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Observation 68b24383-16e2-46a8-9a6a-c12d7ef2fa3e · outbound
Recovering link-weight structure in complex networks with weight-aware random walks De Winter, T
Reference 21
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Observation f8909eb7-e255-483c-b6be-c61f4e35ee75 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Dehghan-Kooshkghazi, B
Reference 22
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Observation 5f819614-13e8-4bbe-960d-fdf54fc272fc · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Erdös and A
Reference 23
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Observation d2f1e19f-3504-4785-b3f4-c09e72dca54f · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Fardet and A
Reference 24
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Observation c27e3d68-fb4d-458c-a393-18b3d7a6f2e8 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
Reference 25
Source-reported events for the cited work
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Observation 23404fb4-4835-4c6c-9989-b0a6c9306be0 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Grover and J
Reference 26
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Observation d7fa849d-ceb6-4eff-b667-1f545d2839b5 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Guerreiro, F
Reference 27
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Observation ff15da6f-840f-4c68-b506-8ce213fa9e46 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Guerreiro, F
Reference 28
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Observation 91812ab8-32fa-43b3-a213-92e04f965b7e · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 29
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Observation 1aeec190-3da9-4271-aa68-4d621e385591 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 30
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Observation 506b28c6-ce3c-44eb-9faf-9942325db886 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 31
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Observation c22ca3ae-5279-43d3-a6f7-4715f5d8dcad · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Jatnika, M
Reference 32
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Observation 00a14f6d-110c-40de-8325-49737c229517 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Node Embedding for Homophilous Graphs with ARGEW: Augmentation of Random walks by Graph Edge Weights
Reference 33
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Observation e80962a7-4b6b-422f-abe6-fad8435073d8 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Kosmatopoulos, K
Reference 34
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Observation 06251be3-2e83-4bce-9f57-41839ed5b3ce · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Kovács, S
Reference 35
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Observation 1bf0af34-5ef9-4ece-b987-d73810338497 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 36
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Observation f9c40bc2-e857-4f26-8a7c-2ab1ad6b3cdf · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 37
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Observation b1afbd61-8d59-4a21-be76-15afa996ee41 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Ma and Y
Reference 38
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Observation 501e8532-2ce2-4336-bee9-fa7ad87f9a49 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Linkpredictionregressionforweightedco-authorshipnetworks
Reference 39
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Observation 7c789d1f-ea37-4e05-9cf5-af5a3e9d0d31 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Efficient Estimation of Word Representations in Vector Space
Reference 40
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Observation 00df57c1-4805-44f4-a999-65cd820638e2 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Mikolov, I
Reference 41
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Observation fcee0c52-cbd6-4089-a347-8786741b52a5 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks A Fast and Simple Algorithm for Training Neural Probabilistic Language Models
Reference 42
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Observation d463d84f-c309-4c04-8e29-40b116e8eb5f · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Morin and Y
Reference 43
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Observation ba9f0212-99b9-459b-8670-a6c0147c98d0 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 44
Source-reported events for the cited work
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Observation a9da0468-893a-477f-bbd5-54304c9505bb · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Perozzi, R
Reference 45
Source-reported events for the cited work
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Observation 6810e326-e6f7-4ea3-991a-bd7c53a772a7 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 46
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Observation 2e7b1b30-b7ee-4b2d-afb0-6add3c3d3e37 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 47
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Observation 57db0eb8-c8f5-481c-828b-517cde335645 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 48
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Observation da8148fa-835d-496c-9eff-f5a39ab425c0 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 49
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Observation 16591c7f-1fa8-4b1b-979b-982ba2328df0 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Vital and D
Reference 50
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Observation 51e976c3-96c4-4ed8-a85f-1ce761c50dd1 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Vital Jr, F
Reference 51
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Observation 350765dd-954c-4633-bf36-1233c5b7aed7 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Vital Jr, F
Reference 52
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Observation 8e94141c-4b9e-4ee9-a862-b0a9910075a7 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 53
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Observation 46c1b0e2-2118-4662-bc75-ab9addde8b79 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 54
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Observation 7a96d04a-f029-4c7c-80a7-ca84fec66ae6 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Yassin, A
Reference 55
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Observation 91937172-3ebb-4fa5-989f-2641dac6be08 · outbound
Recovering link-weight structure in complex networks with weight-aware random walks Unresolved cited work
Reference 56
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From Node2Vec to GPT-based GraphRAG: scientific impact prediction across graph and language models Recovering link-weight structure in complex networks with weight-aware random walks
Reference 38
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