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Paper Citation Record · LEDGER

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

As of 11 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 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.639918Z digest=sha256:90f398dabbe9be25b2df4847af23b4756ea17b2a637206371508ebbfbfb2d2e0

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=sha256:6ca3b490056803ad996c09f7d2dcaf75fc603d1ad8b7bba178e75c71ec4bf204

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=sha256:875bc0fe8e59e268209867b62f2fcc4ec0427a0cfa773aa378e0c7bd20e9b167

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:c06ccde3f12261d875d1de68b2c49b3a39e252bf6f6c8a19d992489f0d6907af

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=sha256:44a574b4dcb21112bb10ec5e3e6f7ae6cd912b30e8278542bda519d6f3ebadd2

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.666041Z digest=sha256:4a41b755009a6cd1cce52e91de60fdbd28d61819a740374aa1bcb58d18fd6d7d

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=sha256:50c03c686a9c039ac294318e3070b9567f873363a79d032a4f70cd9c5ff4064b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.674489Z digest=sha256:de3c9a02c3e22ac3932f38dd2196bb511fd3a6fdd43bd289b61964a1a8b93a15

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.677955Z digest=sha256:2f2f0616ad0033175098e6f177384d0cb286f10d51863ef63f3f71caf969d2c4

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.681420Z digest=sha256:722c34d3c3f7e9ce533754706466159badd0661c77504922a4fd6bf997620066

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=sha256:13ffe0888d28afa6c73f93193f9df3b25a6feddf98fef91b60edcd1d6f6fbd61

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:f4f7e8d7e58ae37e5c58f8dde3332bda9d66bfc7af69f54747cc4b3743ce43a1

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=sha256:78299048d589b1a2d7919124dfac7e5ecd283fca426157ee78c6d52ad2571168

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:b3602d9d363fc49e3e5051e5bc9a2c77b1f8fbd62efeba397a8fc4e0993c82ea

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.698456Z digest=sha256:87e9b46afcb2853db4f4b89672afbb4c5f797d4a1489dc89de3cdb8227a96bce

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:a51fbc7e6e5e90bb1d486a36e2084f8a55b15bb80a2b4b98e91c0da7650923f2

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.705008Z digest=sha256:33ae7bce0425204312c1f9d241d2b520c43664cd7ce929b9d769cba441f2afb4

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.708592Z digest=sha256:06e75066a00f58066a8d3a29302e8bc3526518896286aef13737c6ae1b553f0b

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.712513Z digest=sha256:f6a7c7fa060fbb6ed045d3d3e42753e305a2ce7f32370cfc2132a1c6bf75a12d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.715861Z digest=sha256:9d0f235110fd91d114b973f39f4030eb4b007df79007b1ac40b3a60573fdde5e

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=sha256:2369ecc9fd572e42c611d8bec7faf3c3e70b07368f71b55c8cc4fdba98d13df9

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=sha256:0be2b153483fd7f9da6424f0da9c1e87cdea8652322dcf8d7c412bdf845d2b0e

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=sha256:8978ffe62f1688f321f6fc4d29655e68f69f51e832aa226c10ece3c7042bc6ee

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.733408Z digest=sha256:590ac076e2c152b5ae170748bd63956fe88505283fa7c28d6c420a523a98f3f2

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.736704Z digest=sha256:59ef2eb6bcd2d8716b0b4a38936be37ff308deb2a865f3ffcb9f4d6405445b4d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.740416Z digest=sha256:0924243bad3037daf9cd567bdb03296044d4492226ba6dd124588a435322558d

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:bf38a92ac0f58dcb36d598c34f0fbdfaee0b1c60838e8581e345659ac7d88abd

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.747349Z digest=sha256:54a1a40e6edfb2aed448307df3d85e9440ed8c93fba10bde1e000dd1aed38c87

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.750959Z digest=sha256:ce8353b889f6f4c365e81197111cdfa6276d4f0a17c67353ab4a1fe8ae7c3bc1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.754366Z digest=sha256:f124d14720b576a5cc111998f4f9c1e43908401aadd73fb0ee558fa5551a8e3a

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:e73e9518742d20dd60ad537513b78c42d5905ed40544227e60e6fcfaf4f13953

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:efa810c97548c6ba3312248531c2e42474932fdc83cb5a9050b8fefb10df928e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.764872Z digest=sha256:5455bdd5e19b81a166d2134c62759122c0bf4cb643583b95b3c69a3f20deb22f

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:ccbc4d59b9c2e2e81d5583c9be8722cdd1520c380ca0e467df6be2646362fd57

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=sha256:715f65f94d7d088168399bffb0fd0d1b525b92bea36b596a72d97af7440ff977

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:bb4a1cd0ec51ba3c26ac9f18507ba7195ae5e0086d46edfec5f56749da791de0

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.787741Z digest=sha256:2f05003c0c22eb68c39fb3f270f486b16cc4854db96cf0f576891038181c94b3

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.795398Z digest=sha256:a316e1f349180da263ab1285c437d4c9eb9e720f3bc82ca1a359ca74d3251fc1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.799124Z digest=sha256:8726c29fd5fbd5cbe1e96282c21bcdd09c6be2d5f2c32d0830ddd3c821d8a985

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.802580Z digest=sha256:50ce18b58afdf4c12b42c8d7f19ce556668b01a599e080e41ba1c38b382ff0b9

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=sha256:3921c9880651e1fe1849534ee0d9538094bf8ea456d6ae8770759a5d27038762

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.809198Z digest=sha256:2571c58c29be19539ce0c5544f87df0bcf3d8de614057521c1944c1171d14336

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=sha256:14816578fd92bcc82ebb65f5e48f10aa105fe5fe6393c36b73d10ba828138805

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.816109Z digest=sha256:1aaac8e685868e571cc124ab7509dc465929a9e7fe0f9cec98a5d46603279a7f

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=sha256:62e3a6f1f08df6d76675bfbc530405f186043c98c4e2608b2dea5f56e004f042

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.822800Z digest=sha256:cf43b51e9d70304c5fe0d7c9b4be1c33cf1df94d053f4432f734ade0f55002fd

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=sha256:3721aa03b9c18b52ae4670097b514a47165267e2143f7dab42cfbe5d89af94f4

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=sha256:6d25f740b4a8f7996e6b93c2208354481d1e61619c5871bdaf120156f64e9aca

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=sha256:966244f81914f4be00f24df4433163a61fcf383e030439a9286ad5a7c26793fa

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.848808Z digest=sha256:bda4ebab29f93e1faefb771aef30c2aa46169b4e4ea0875038650e4b12a8683c

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.852343Z digest=sha256:e32fcbc418ddf35b154208dcc37703b15b9f13e46b00028ca78a991b4964edb1

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=sha256:1d79becab6ecefc6ff40cd30c68f68712f659d0e20fc27507d5e39bb2e0599c5

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.830653Z digest=sha256:71af376787af2ade22105b896c3b4bd58ff5462492bf87fd31b06f84a729fb73

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.862989Z digest=sha256:84c7155ebcc509d4d6e7ad08bf59673f447a7ac7134d31dfd3e22a450bf84020

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=sha256:646fccd596ce9993f9c2478ca60d9d8b1befbef88e869cf64b35cea3eefb4783

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.873172Z digest=sha256:cf31bc817f338559ccb36f0bde4782c3511878d39eb9d94567334fb8492172ba

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.876299Z digest=sha256:6462592335bdd98246b0e691f2dffae17a3d913a8a7754405a2e93e5bdb8b231

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.879525Z digest=sha256:f04e8826603db2f76939a5a244a4ebdebc5371d13719f304bc09334e9bcf6703

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.882806Z digest=sha256:0080ac293b8f15457ba5c48039de38971791187a154e4aa706d1a00513841930

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.886031Z digest=sha256:76ccbe040fb2aa4417258ab292839a03209e9902ec31ab51401042107bcab127

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=sha256:9e3863886d048749ce3c9299b1868d0fcc9ab0810b9b3fede7891073cae24e11

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.896232Z digest=sha256:3376b98a2a5c313f164c51d45a8494c635988b8b81b37044a53924e87ce3cc34

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.866431Z digest=sha256:0f51d53423901465fca38644e883696396e77d908da2dab4fd956b5c2a2d86ed

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.869813Z digest=sha256:bfc7fe36a93ced231cffd755aca356c71ec0af1444ae05bb6414549862267ea1

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:d519b4febea01499464f468f3ea85b1daf995d0f14fdf6193418f5e58040cfd7

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.892857Z digest=sha256:01d567c70c6e169c78a6e7382977abb3096cc0dccba3d3d1d222789424e9593a

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=sha256:8de0822861216e75b4ffaa0d629867392a9e84a7bed15fbf738db967de4e2c04

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.791601Z digest=sha256:00b079a1da0b26686b26e3eb68658166403028970b78b73f25d40d6bc05773e5

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:c63b76b79794f95e35b0c7d63c47efc73884ac5ad165318849705e4920a9627e

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.769000Z digest=sha256:e8f196bf033a78291ab1a345c1992af8ad13404afb3f17ce0648ea0795724bb1

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.845509Z digest=sha256:e0962a4266e8b0dc41c88fb6690e98d35ecc15513d5421936abf57d84e13be7d

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 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-10T13:54:34.776622Z digest=sha256:201e0601dd4c52a325c00381e81d96c5ce6ef476045803f40f2b7839134c8604

Pith citing papers

No inbound Pith citation observations are available.