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Paper Citation Record · LEDGER

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration

As of 8 August 2026, this Paper Citation Record lists 40 of 40 outbound references and 0 inbound Pith citation observations for arXiv:2608.04255.

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

pith.paper-citation-record.v1
2608.04255 v1

Coverage vector

measured 40 of 40 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T00:14:05.772560Z

measured 40 of 40 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

40 of 40 outbound references displayed

  • verified exact2
  • verified fuzzy2
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b9bb3031-fb2b-46f3-88a9-2afb72ffbc9b · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-08T00:14:05.646324Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:14:05.646324Z digest=sha256:220f95744d93e7167d9352aca557ae8c2c6b7498a64da4f9507d7517a4fa9ec2

Observation 8b4b8a13-4ab6-403e-b267-36a2a7890bcf · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 2

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unresolved
no resolver link, observed 2026-08-08T00:14:05.650440Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:14:05.650440Z digest=sha256:930d2efc4caeabb1eecbbbe9422b1093895395a52c02ffa301f5eba538f769c7

Observation 48925885-2055-4150-9c06-37dbc5cec20f · outbound

This paper cites LLaGA: Large Language and Graph Assistant.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration LLaGA: Large Language and Graph Assistant

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-08T00:14:05.654019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:14:05.654019Z digest=sha256:6ec80cf4558e3eef5a3074ebe32daa006a6416bf4d398987611b9e15c4086195

Observation e8723c18-ed4c-4b63-920c-d81a375b1975 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T00:14:05.658007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:14:05.658007Z digest=sha256:84ea619956220962d0dfd553d5b78cee388f6c55d6d9a0a6bbfae15f9fb0c1ea

Observation fd9580ca-2ce4-486b-b2fb-f1c41862371c · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:06.123762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.662162Z digest=sha256:87dc859a4318e53879ce58dafb2fce94fb478957314375343921d0ef3550d1ae

Observation 5786884b-4a54-4a74-a9b9-3dc290c86b5b · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-08T00:14:05.669165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:14:05.669165Z digest=sha256:a658285a75dfdc8238e3a09806d246ce44e16e45f25777497a224f53b4519d6d

Observation 2b83cbb2-35a0-41ad-a199-d8a4c9bb6442 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:06.099122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.672163Z digest=sha256:052564e57304138a0e58ca2a163b0b93efd644a7c95c48b2d78f1c153561eaef

Observation 407bf0d3-c885-454d-9787-83f2f32ff8e2 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:06.089337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.674864Z digest=sha256:b06a3e2796c59c0db92e7d96ec26c02d621114fea5efe4d16f019c81a80f856e

Observation 01d0df58-5696-47ab-84eb-9406a8440590 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-08T00:14:05.680320Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:14:05.680320Z digest=sha256:b0ac442151aad6362ad9558e88f4779c38cbdb8fecc25562266c4d4c2009ec2a

Observation a94a3ed6-ab9e-4b1c-9cd3-6ddb2a1487af · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:06.079877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.677694Z digest=sha256:84eba46061564ffb2ff391fb78b0dd7f108b5af087ab200f9329156b063750a2

Observation d91b0e59-608f-44a0-aee6-1c7fc7f59ad7 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 11

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no resolver link, observed 2026-08-08T00:14:05.685907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:14:05.685907Z digest=sha256:7167527ef872df1d472eb68eac3229225d556f42dbe09ad82a5800f8ab48181e

Observation 074b41b1-ff0d-4317-be2e-9dea996d8f2c · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:06.063075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.683196Z digest=sha256:7ab32539996568dda39a108ecc41bf9133c48d10073994aa893bc76b196f848d

Observation 86919525-3d29-4e49-a854-ba075c32cd72 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:06.037392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.693946Z digest=sha256:15866efdbd4346c9b9babf0c06b10aa79cd040b464aaebfd087108824f32bd53

Observation 382f7206-1f4f-4eca-b299-b734baf3cd38 · outbound

This paper cites SoK: Differential Privacy on Graph-Structured Data.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration SoK: Differential Privacy on Graph-Structured Data

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-08T00:14:05.697117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:14:05.697117Z digest=sha256:5e8fccc6b8340a639ff2b6470f8bc6369f802e436bd7930e972e7b688be2f494

Observation 8d86cec1-4cba-4d15-a54b-021cd7f8e249 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 15

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unresolved
no resolver link, observed 2026-08-08T00:14:05.691305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:14:05.691305Z digest=sha256:d388cba30ad1adf4ee3413cca8db243d0508b00d82e531222399b4d8f4202e8a

Observation 46c507c1-d304-4be1-a65f-da728a4f8b28 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 16

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:06.018624Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.704610Z digest=sha256:34c0b7b55d9e6ed1eba7aaea008649d1708811516bbaed3225b2c8bc557eade9

Observation e8b0b33a-58f9-46ab-a048-972e9f7449cd · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:06.009671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.707860Z digest=sha256:865d1dae93a29327580583c3c7be27fb65e8a5c619f00d4b4a99a308120ba416

Observation dae425b7-1acd-487d-9c0f-1709bb1fd739 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:06.027768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.701516Z digest=sha256:21bf1738271bb0886189b6e25ca2968aa62f0ca0f2e4cb525d30670b945de770

Observation a9252f93-c3c8-426e-a29a-938fb98ab889 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:05.992634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.714181Z digest=sha256:379c5006d5aec50352f40ae43d6814459d2f6c4cefe3abd753063d66304fd800

Observation 6acc2e07-75fa-4454-a56e-84136fc87cec · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:05.982876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.717404Z digest=sha256:c8bab478bccbf95b5e89f7f6a4613e6f006abbf784cb854800f58a9bb8d42786

Observation dfa63c7e-b810-42ae-95bb-665c20bbc717 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:06.001106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.711169Z digest=sha256:ec5cd194d47727bf9df5eb3a546690c3b5aa341647e745ae09dd502ac27cbae4

Observation 7fa74507-eba6-4201-b736-f55a6c6ab0c0 · outbound

This paper cites 2023.{GAP}: Differentially private graph neural networks with aggre- gation perturbation.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration 2023.{GAP}: Differentially private graph neural networks with aggre- gation perturbation

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:14:05.962076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.723780Z digest=sha256:8fb747998389e4aa40f5505b2381f8363a12fbeecbfe263fc5fb65e1ad223fd7

Observation 84a90f1e-f2a9-465a-ad5e-5cfc70e85320 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:05.951617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.726833Z digest=sha256:552e392e70072c26759ac9386c33ee56fbc353663afc616b201eafc452b64203

Observation a0550d19-07d8-435b-986e-3619aec37101 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:05.972357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.720703Z digest=sha256:db3b1d4e8d8a1c94630dbad32083ea3aa3e1e60c0fc9c0de18d479a2784793d2

Observation 8c07dacf-f33c-4e40-b8dd-621c4eb663f0 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:05.942327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.733554Z digest=sha256:0a8114fc38b4843b354b733b5cbbbfe3f8c5d708139e1697e3ac53e01b6c1cb3

Observation e43200f3-e836-444d-89b5-df87a48f6cac · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:05.932888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.736698Z digest=sha256:890ec7fa2a8b0f33f3927efb3f52b86e73ba3fb13f915612fb3d8227ef1cfe83

Observation 144939ae-8872-4395-989a-520a70981a9e · outbound

This paper cites Making the Most of Parallel Composition in Differential Privacy.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Making the Most of Parallel Composition in Differential Privacy

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-08-08T00:14:05.835883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.729908Z digest=sha256:f76ad7d64944a7bd15ec24c4a2004dd93928968bcdf9ed9cd43f3e998928e621

Observation b2891c28-8e32-4471-b092-e18c5da457ef · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:05.918396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.743160Z digest=sha256:c9fa3bbcde09d01d7e5cee42180244d9ee5971d01ba162a64af253ee39ba7062

Observation 152988f9-ba89-4b13-b489-b083d2eeb3e7 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-08T00:14:05.746164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:14:05.746164Z digest=sha256:b6af56cd0ec71be5909b5946436ec2ef3f80c8501896d49d976f07052a358490

Observation 04df3df8-715b-4fac-aca6-cada831237f7 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-08T00:14:05.739979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:14:05.739979Z digest=sha256:4213b902796098bbc964a50d5f98ac75035c80f281df587231ee380505a57bbc

Observation 5f1735d5-b609-456d-a105-bb491a22ddf0 · outbound

This paper cites Privacy-preserving design of graph neural networks with applications to vertical federated learning.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Privacy-preserving design of graph neural networks with applications to vertical federated learning

Reference 31

Resolution
verified exact
local_arxiv, observed 2026-08-08T00:14:05.823320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.752274Z digest=sha256:07fc6508f586dc3990be4b2ad26b4d71c53e76dcef6d03eaf6d062538e22b116

Observation 707805cd-766f-449a-9b10-07995257735b · outbound

This paper cites C-Pack: Packed Resources For General Chinese Embeddings.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration C-Pack: Packed Resources For General Chinese Embeddings

Reference 32

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no resolver link, observed 2026-08-08T00:14:05.755598Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:14:05.755598Z digest=sha256:31a40ad7a1cb781f4790dfd604c5866d807a3171f94c7f13637256ad61159bba

Observation 0516d98e-24d0-45d2-83ed-b3b5ee395f49 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:05.902739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.749118Z digest=sha256:411cd8b988b39c6b8fec8c6d89ea3c4651457a4d94ca87313058ca0db2ae2001

Observation 67ca14f3-552e-45af-89f5-d66ecde52f53 · outbound

This paper cites How Powerful are Graph Neural Networks?.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration How Powerful are Graph Neural Networks?

Reference 34

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unresolved
no resolver link, observed 2026-08-08T00:14:05.762280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:14:05.762280Z digest=sha256:f98b6af4e6fde6ed2f45ffd963061262c2f137b92388638ec1a9a029abaf9f71

Observation e73afdc3-83f5-400e-a2da-7b458a50c98d · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:05.883015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.766131Z digest=sha256:2e9f6b9967cf9075310b11e792afef70fd34d2e8afe13195477a89a0125ef0e6

Observation 92cefd2b-0df1-44c4-b98f-7f2e64ee554c · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 36

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unresolved
raw_fallback, observed 2026-08-08T00:14:05.893157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.759237Z digest=sha256:34c7cfc410cae46e08145d0a5cc07a8102adc7af1bfb7e04a047a572226bbfbf

Observation 37b6c146-7b27-43a2-ab31-e453df656fbd · outbound

This paper cites Yes”/“No.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Yes”/“No

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-08T00:14:05.863159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.772560Z digest=sha256:2e68eb48b0c1cfbcb4a6640741e4392425d7c7589c5e5535de5046e8f159bb99

Observation 6580d392-5d51-4798-b3df-79b2d11131a1 · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:05.873189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.769185Z digest=sha256:0f6025e0998c9611b3ee5205cde4975b43be3eeab841e65b5e84db48dd595dc3

Observation 780a834e-5cf2-4ce6-afe2-17394d10d1a2 · outbound

This paper cites Information Retrieval3, 2 (2000), 127–163.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Information Retrieval3, 2 (2000), 127–163

Reference 2000

Resolution
unresolved
no resolver link, observed 2026-08-08T00:14:05.688675Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T00:14:05.688675Z digest=sha256:62539fb403bc0e775085575438e789631ffd5322ad21ec4b0c74555b4bfc773c

Observation b1150c44-4f33-4a2b-a9f9-5389b08a3bed · outbound

This paper cites an unresolved cited work.

PriDyG: Privacy-preserving Dynamic Graph Inference with LLM-GNN Collaboration Unresolved cited work

Reference 2023

Resolution
unresolved
raw_fallback, observed 2026-08-08T00:14:06.114099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-08T00:14:05.665703Z digest=sha256:99aa79ed487d1c17ec55e872f0c006e03037737b29175a01891b3407172b6365

Pith citing papers

No inbound Pith citation observations are available.