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Paper Citation Record · LEDGER

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning

As of 12 August 2026, this Paper Citation Record lists 72 of 72 outbound references and 0 inbound Pith citation observations for arXiv:2501.16002.

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

pith.paper-citation-record.v1
2501.16002 v2

Coverage vector

measured 72 of 72 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:54:34.896232Z

measured 72 of 72 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

72 of 72 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved65
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c2074f2-8395-44af-a052-f2342df323aa · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.620274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.639918Z digest=sha256:c749cdd93ce6511c919e276ff3674f7370a19e6440f76f8080daf3fe56aca2f8

Observation dd2c893e-02c4-4281-b7ef-84a657af4517 · outbound

This paper cites FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning FastGCN: Fast Learning with Graph Convolutional Networks via Importance Sampling

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.644391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.644391Z digest=sha256:f52cf6195d549ebce3a745960c3601a0e94bcfd0a963f7b351d1e842c9d5554d

Observation 4ef60837-8d35-46f7-a09e-ad41efe7b074 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.649028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.649028Z digest=sha256:34c2c3d27127526d3241aa538e55f63d5e8c24fc67a703be092f0366e8d9d104

Observation fd6f535a-bbf8-46c8-8faf-cf446f0c0d1f · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.653637Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.653637Z digest=sha256:03b64128f3f338a014eaaff1f3c42608e9b60ffa272263ce87501f74bb54056f

Observation 8873edc2-818a-4bdb-8f76-c3462288aef1 · outbound

This paper cites Do We Really Need Complicated Model Architectures For Temporal Networks?.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Do We Really Need Complicated Model Architectures For Temporal Networks?

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.661961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.661961Z digest=sha256:1b358912cb1d5a2ebf45eee8ad015c3a91573245e9ed094aead7140b257888b5

Observation da9dff4b-f0b3-4509-8e1c-a5a17750cb62 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.590634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.666041Z digest=sha256:4f6299eaa38ea00a25cacc6f393b8dfb7b81c77dd1bddc2407baf6089b896b1a

Observation 2d40bc2f-b83b-4e3b-874f-cfd809f358ea · outbound

This paper cites SIGN: Scalable Inception Graph Neural Networks.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning SIGN: Scalable Inception Graph Neural Networks

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.670124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.670124Z digest=sha256:aebf9f182cb1523b927965f87d3885f1a3e322abc0f8b84ba59df312585be44c

Observation 7aa15d15-d943-4c38-82c9-5635013c3972 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.579811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.674489Z digest=sha256:02baaaa83f43752efc5f915f98b271df3d86a1f7ebc25c09f61707e1e387fb09

Observation 5b1da4ec-d8ce-4fb9-b0d1-e4fb933aba44 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.569190Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.677955Z digest=sha256:b0cd68f77a8ea6c26978ddf268016ca2ec314cae91e15c0a052cd9f8a1e46858

Observation 7d9fbd3b-d4aa-45c2-98b4-edfc5adfb55d · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.558433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.681420Z digest=sha256:18f03653312e4af36237a394bbf25576c3b59cd027ad49825e7ea5a1d9ceed55

Observation e856e0ac-5ed0-4846-9f1c-09177388fb8c · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.685309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.685309Z digest=sha256:c68ec6dec26d1130b6bcc9ebacfe24483aae4d04208b1752ef8405d299c73fc7

Observation f6a0493f-e549-4675-a79e-1bffc765c733 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.688749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.688749Z digest=sha256:4f2dc1cdb4d0ea5d7438316420265f2c987cbc28a0d4e023cf10c3170439a945

Observation 6737af06-4a20-45bf-a518-1bb883df8594 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.692139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.692139Z digest=sha256:709656edffba148837a5ebffa87daf554c70cbe2b6958385bf51ecb0ee19ea8f

Observation 51c6763e-36d3-43df-bfb3-79552d4cd6e8 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.695244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.695244Z digest=sha256:c98c5ef9b1defffd5eb8d621e5965df0c7a7f8a842d05ffa0d786e2544a4a8f0

Observation 3c1b5def-d44f-4b74-ac02-ed4d019aab8f · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 15

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.523153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.698456Z digest=sha256:324e7411ac886961fd25bb3ebe7b6436f105f84c19ad9fca1fb17693088ffea3

Observation b6807c21-db4a-40a0-bfdf-d95fd1d8b105 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.701703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.701703Z digest=sha256:342cbd613ffbec56dab0cb0063d675a67c9f8619df9b5942814d535c07b86ba4

Observation 80cf9826-f831-4c00-8e72-d368ecc55e78 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.506977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.705008Z digest=sha256:3eceb65438ab3103e9551d8cd091087f770ef73c38d8ef03ec486693799767a8

Observation a9680e11-3520-4947-b3c1-ad6b088897de · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.496369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.708592Z digest=sha256:62df3645f35981f71e308b0a9e3455dadd2f6b0037d396a4712fe3f10451d562

Observation 6cfe1059-45c4-4cc0-b180-531af7865fc9 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.485503Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.712513Z digest=sha256:9452b1e7de18af3dfc0cd91f82a47031b466ae75ba073222ec6e75b89566e6ea

Observation b9b97549-bc62-49e6-b087-4d1cad6c3ab0 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.475184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.715861Z digest=sha256:a642eb17888eb6f0d6ba458178c324c8ccdfb35a712b493917b55027fb139b5b

Observation 6dd8f977-2482-4d55-b250-e3126949e580 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.719532Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.719532Z digest=sha256:81d075c372eed75873dfbf1e41c76238f6f71b4f2e32ad2111ede4849c3ce0bc

Observation d4112012-4e36-4d28-8d00-214536ba67eb · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.726690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.726690Z digest=sha256:0b6be4f333e9c1da444db5f811e17efef9055450ec48d6b151b6e88afd27893c

Observation a2a28802-4c17-4df7-9e22-1bf887a9ec44 · outbound

This paper cites LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning LightDiC: A Simple yet Effective Approach for Large-scale Digraph Representation Learning

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.729928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.729928Z digest=sha256:f634bb755fb3a147c83b3d3599462fb86c7ef506bda348087de64fdf2bb151bb

Observation 58940975-29dd-4425-a891-5093d12ae58f · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.452861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.733408Z digest=sha256:9677adb71e01a718cc1b0ed69d29eb14cf5d0094478692c898fb351b1b401652

Observation ba892b37-0703-4df6-a961-9f9636d0edf3 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.442072Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.736704Z digest=sha256:44a2c507e150195315152430bf816e64daad6f9c82b77995014994011b155dc0

Observation 550e37b9-a28a-4bbf-84b9-598dbea0f9ae · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.431284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.740416Z digest=sha256:0f7fa4a9473f06b226101003001f889c736ef477083a7d297c1468cd47477f2c

Observation 2fec757d-3ffa-475b-9dd8-e607f68793bc · outbound

This paper cites SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning SCARA: Scalable Graph Neural Networks with Feature-Oriented Optimization

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.743694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.743694Z digest=sha256:e519863a755fb55f81855e53c8f5187532507e2fc5c3499216ac60bf27c6a8b0

Observation e72d4437-2473-481b-95dd-5ca53d0b61b4 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.421600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.747349Z digest=sha256:e6ef6b66928a1c8a2916d541e9d00076101f0ef7e9b7b76d6539608dbf83525e

Observation 78bc980e-e89b-445d-8a41-60e68e944cf1 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.411954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.750959Z digest=sha256:04f932c2e53173edc29d232341d4d67040323a79d77b4b75d358e85512c7f16d

Observation c3bf5271-a170-4fb9-94e2-3bdec69a1c99 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.402316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.754366Z digest=sha256:5e9ad1f818f9cb257b17e1dd67f4344734bcca5bc0827ad372ff565778728cb5

Observation 20a72c3d-26b9-475f-a475-66bb5a67f3e4 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.758070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.758070Z digest=sha256:11aea469b7cd30649dcd8fa190444a2a29c4c3a855c94f4ae346e8d78c170b95

Observation e974eb24-eeb8-474b-9a92-4654f8140804 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.761423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.761423Z digest=sha256:13ae6afd10465939cf0d5afe9c7e8ba89ccda00347e9a978aeee19ca0871bd3b

Observation 97716e6e-e266-45d8-926b-3ddcbb525c92 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.380526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.764872Z digest=sha256:4757c6583021100cb092a58312b4cd63bd9510b339889e2349ff1335803d85c2

Observation fce22219-fc5f-4dcf-9e02-e1ccef6e4f49 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.772450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.772450Z digest=sha256:c42fa15b0957b68de3c1c28309789c0f8c8d6141b7fcba4ca279360d8627fcd3

Observation 2251231b-40e1-4363-9462-c8f00eb869d2 · outbound

This paper cites Temporal Graph Networks for Deep Learning on Dynamic Graphs.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.780100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.780100Z digest=sha256:30c6dc7fad58b7c138b1940b197874f8cfe2122392eeca3c5fa30bf5f8d08230

Observation f22c9543-6c52-428c-a263-5026f3d1e0ec · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.784113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.784113Z digest=sha256:c1475256e69a95075a937856805b53d97c4caf0c3677e11d3f3b6d9ba311ce8b

Observation 7c42e052-eeee-4365-99d4-c74bbf6cd2f7 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.336905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.787741Z digest=sha256:206aa003e2dce6510be4646d0950723b9062bf102a2a04a7feece6cfc36ecc4f

Observation d70ddca7-ffad-491e-a17b-5148c3f22884 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 38

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.316635Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.795398Z digest=sha256:385f9b31c228a9a906aa67838f827b2e84aab77f76342d89a766d01f47b8d525

Observation fe30231f-4cd3-4394-af7c-e916fe10a253 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.305887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.799124Z digest=sha256:c4bd61c9603287d6378b7434ef4286fa1d3890fc41f3f2d9e9f065d94b5039b1

Observation 6b6651eb-19bf-4a9d-a860-86a82d483d9d · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.295715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.802580Z digest=sha256:0e5b67dbf0b78660cc3dffb2894bbb8e7581160868177cb77e37a66d0fcf1540

Observation 7c14d6cc-7d59-47cf-8ff3-0276700908bd · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.805800Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.805800Z digest=sha256:4220704004da4a1f87d9d5acff501db61d0a16cacc0fb22af0d5640401009e6e

Observation a8054839-3223-4b69-bf6e-e11b666f2d88 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.279700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.809198Z digest=sha256:894cc3f7e4aa21535aa631dccefee43dbccf4e40a3b9d19545ae43d91d0310cf

Observation 1f0eecda-a8d8-484d-8d87-b4e3fef3b155 · outbound

This paper cites Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Inductive Representation Learning in Temporal Networks via Causal Anonymous Walks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.812500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.812500Z digest=sha256:d71beeca144390d7ce955e2c713902243671ce69cbb517346ddea45b8b4430bc

Observation 259b45c7-f559-4245-aead-59b13a7e8fea · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.270381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.816109Z digest=sha256:0578da2c60d8cea9e031a8e38239cbf08d8f41e0f18463013616d055ececaa62

Observation f9e591d0-309b-4301-9619-d80eaa30587c · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.819420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.819420Z digest=sha256:b0cbfabcc687f392d4715e92a107a48129767b29e0181952cae0f16f7971462a

Observation 94bfd07d-1232-46ce-ae0f-a5ec8868cf18 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.255255Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.822800Z digest=sha256:c482110e1ea92ddc76457d5aac203acc78256c9a5c005853bcd574dc6e0cec89

Observation aa31bbfa-54da-4dd0-a6fa-a47bf74790b8 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.826862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.826862Z digest=sha256:5a22cf197ff0662429e3b7c6704d3e08ffbdc141d66153e840e796846bc27565

Observation 2c1bd7b5-f42d-47a3-8587-e403b51a98f8 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.834091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.834091Z digest=sha256:eb6619b36c9d972902d74bf70f3a0f5cff1d3730440e1093ec369aedb836da16

Observation b0cdc28a-ad5d-4fce-b2bd-5fdcc3370bf9 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.841987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.841987Z digest=sha256:61dd7246f1a31a43b90fbf20bf5f680ace74bfb4f1b756a47d6992cccf2a337a

Observation 5c260d8f-ee1f-4d74-aa47-2047fc28418a · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.208548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.848808Z digest=sha256:b8b9381d041cb841999243d1c052a65411ee91ef5a74e41a1a54d318fdee2e8c

Observation c30e531e-0b85-4937-b733-f1daeb6b5824 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.197963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.852343Z digest=sha256:4c0ca5ed43e017f76919d2fb52578b4af8819dfc6ca4bba6127a4b18b00d65d9

Observation dd9677d6-5254-4067-8247-84da674364e5 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.855957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.855957Z digest=sha256:139f56494b8a704e62a8fd86cad045441edf841e94e578218ad13934ebdb3673

Observation 72885d15-0eb7-466d-9c32-8379276bc647 · outbound

This paper cites In Proceedings of the 31st ACM international conference on information & knowledge management.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning In Proceedings of the 31st ACM international conference on information & knowledge management

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:54:35.239857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.830653Z digest=sha256:564e3366cacd02c40dcadf2201dc27036280539cfaf3dff834a2f2b19ea0583b

Observation b3958846-cd3a-4caa-8f46-fd02cb7b6cf0 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 54

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.181526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.862989Z digest=sha256:6b3c77046f69613d1a4a15b69e33beda5250598e55feb8490f7f17156f05d131

Observation 6acc1e9e-f1fc-4697-bda6-a015b547f61b · outbound

This paper cites Inductive Representation Learning on Temporal Graphs.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Inductive Representation Learning on Temporal Graphs

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.838112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.838112Z digest=sha256:35211f3b5ae798602d69f7a989bd1cb192f9c6f2b5e05a3f9ad8441039e30c44

Observation 3c0af46c-5e53-4880-a454-85e9180399fa · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.150305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.873172Z digest=sha256:47e88e902d054e9961df1e8d9b1c948ee48db2615ca1af29e74ea5465e4360e4

Observation 87c9f6a2-5e17-4643-b208-9e2c9ee76bdc · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.139956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.876299Z digest=sha256:a983715117785f00e76079276273f4df662054137805997c6d479ef4fdece505

Observation c648aa78-6fc6-4f06-98d7-9a6481c9975c · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.129903Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.879525Z digest=sha256:17b75662ce4b6e7bc9063f947aab7bdacde1a9137db940a91894a6f9e6807cdc

Observation e5ef6373-2cc9-4ba4-b986-d4907bfeca51 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.119297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.882806Z digest=sha256:1353a6ab0a5d212b9ac7e221a1016dad00209dcc1dd187388668b566db7850ca

Observation 298d1a8e-6f44-4a06-9135-8ad43b6fb143 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.107952Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.886031Z digest=sha256:b1a8c53a47196d1b875753ffae1a8322dcc704109961918ff91f327f97650b21

Observation 809f22bc-41db-4684-b14b-e0a36ee641c0 · outbound

This paper cites GraphSAINT: Graph Sampling Based Inductive Learning Method.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning GraphSAINT: Graph Sampling Based Inductive Learning Method

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.859325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.859325Z digest=sha256:5afd400fc565c2f5bbad54fd84058dfc09ce5c55abe470bf71a9cb29e440b79b

Observation 2cd38b15-d192-4831-88fe-286837d9742b · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.078935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.896232Z digest=sha256:ac8fac824717cd3689807eb73a824ab6aea9087b73452527dacd32f3a0013c48

Observation f55c4535-f395-4754-9cbf-eafc1fc49702 · outbound

This paper cites IEEE Transactions on Systems, Man, and Cybernetics: Systems (2022).

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning IEEE Transactions on Systems, Man, and Cybernetics: Systems (2022)

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:54:35.171110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.866431Z digest=sha256:1fbbeeb67724550327bd4e8db5727681775dd260a2633e814f3e2cd96a37c151

Observation 1927d385-15b3-4ac0-b31c-7b3bac0665a3 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-10T13:54:35.160787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.869813Z digest=sha256:cd072b49e946596189924423d140230b95773d93dc6f2b3dce4774f8f6cffe3e

Observation f6b789b3-6aeb-4ffa-9901-3acff0034027 · outbound

This paper cites an unresolved cited work.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Unresolved cited work

Reference 70

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.889327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.889327Z digest=sha256:1bc137f911252c9c444b20188841ef5ff709bc53ee1b5679cc3fa0af578fdef3

Observation 5e5b301c-a8bf-4b31-bef6-2b194e81605d · outbound

This paper cites Advances in neural information processing systems 32 (2019).

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Advances in neural information processing systems 32 (2019)

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:54:35.090660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.892857Z digest=sha256:c8271b82a6f00eb36b24a8688054997c651f5f9f1b0da0db3b350c83c5d5c2bb

Observation 73e11a61-3827-491c-ba1d-12a09b0e8dc3 · outbound

This paper cites In 2016 IEEE 16th international conference on data mining (ICDM).

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning In 2016 IEEE 16th international conference on data mining (ICDM)

Reference 2016

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.723270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.723270Z digest=sha256:3887bf459ba3b668be025d13daca8948c34a62b8495fabf21ff3088229eb2bd4

Observation 343cbc23-5b88-4316-84b6-d3e15118afb6 · outbound

This paper cites In International conference on neural information processing.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning In International conference on neural information processing

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:54:35.326949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.791601Z digest=sha256:5538050836d59707c9ef2048303f2e07b9bfe8a44e86f226fa11db40722c515a

Observation bec1923b-445c-404a-9493-ebc022d32edd · outbound

This paper cites In Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning In Proceedings of the 25th ACM SIGKDD international conference on knowledge discovery & data mining

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-10T13:54:34.657703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T13:54:34.657703Z digest=sha256:eebbc2f106dc9af8523350af3c9e39eb7e0ea4247e85f67d0eca8f1bc2777b2a

Observation c8cec7e9-7e6d-4d9c-8c29-e264c7d0b040 · outbound

This paper cites Information Sciences 521 (2020), 277–290.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Information Sciences 521 (2020), 277–290

Reference 2020

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:54:35.370750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.769000Z digest=sha256:3416ec4d2d97601eb91dff99378e322a1e25fc30b52eed86ef79d2d64d046dcb

Observation 1dff1e31-8165-4b37-b690-9887c70d5224 · outbound

This paper cites In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:54:35.218651Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.845509Z digest=sha256:d77f0247ab097fa6bb2fe71f829c76ec6491a54303e0da6cbcc1f53a6f44ecdd

Observation 25f4d9b9-8edf-4dca-ac50-6c052ac8686e · outbound

This paper cites Advances in Neural Information Processing Systems 35 (2022), 32928–32941.

ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning Advances in Neural Information Processing Systems 35 (2022), 32928–32941

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:54:35.353981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-10T13:54:34.776622Z digest=sha256:50c431de0c37145dc0231b129cb22c54ed7ccadb665c9a401c9e3ece4fb7acbc

Pith citing papers

No inbound Pith citation observations are available.