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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=sha256:97beb6799c0c788fa8b9606b9ec06148a7a91b51b215d8e8b37b823277271eee

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:fce2e091aa48d777d82a82767bd7d713d4a0a922be35187d9742d097461ecc80

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=sha256:927232737ff3b7f4fb676147287960eb22df3e99955f37ca4142bd1fa82fb7fd

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:cc0fd25449fc8ce4683680c16c8e66815079b8577803d2ea28b04d136595c54a

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:a2b2963f10a616a6d673f61ab3fecc73bcb6387e43d2af28657325606d68c7d1

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:a861218af7a497cb401b3fa11164a3a720f21bcbb1c038064befb7483a6a09e9

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:edc6a53e9195540fd36cbe876495751e6573e7c0e2cdb66ea3be9391f36af376

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:efe46cb39bd6c1189b5b24cd7546d6d474da60115c986d2818be2613fd07d151

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=sha256:91d36dc8ec00fd945b9560f44506f427d1c9391191707dba2910484378341c9c

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=sha256:0eaf61e21b8282750012a99bae0a4d4b8173700ad7c62f4db5333a15f1644dd6

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=sha256:937d592f0db0431e0e14eed26b7c9f5c2f14deec49eb6e5cf69e50c5d06a538c

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
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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:d9a3b40dbced63fbb7667aa426137d63124cd94d062077c5326a67ce19e86fb1

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=sha256:3dff68cf363f27fb594d718c36f5dac45409e177f931c4f67c6471f29737a171

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=sha256:7b7eb74fa736ceefa237ee87488e8d65edcd067c828eade796cf3fff87f641e2

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:bbdb9b35dd13fcd31e6b0a0320829beed146f514731e5b4e46ddaf29a4c16f11

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=sha256:3e776c6b2be23cf078ae5e7c710004229934fc56983403549a8cebcdc3edc125

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:a93d33be40f9e26caeefeaf67d5ceaa4101fc23a59a0524a7c6b7bc3d25e2d27

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=sha256:19d6072240dce8c4aefb595867d062c998d544b40c95d76f034c3b0dfa179a04

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=sha256:3e5888e78387694162dcfa5aa9fd12ff867f1ab5aac88f858dcbb924682d7d42

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:ce11b5939ae538378f96af8938a0e891061462f7a2018ee83b96c458f4cc0053

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=sha256:2b2498c825626bff2cc8346a4d4c0c2f1bf5c380b5f562fde992c34cac64fd5b

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=sha256:3241149de30de9727583e367e2ffe2980b39be94c389f220bcaa85ebbbe2b6b2

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=sha256:02aabce0fce87e26d266254485a9cb28a3052bd4b8a403720f5a557f6e0ff82e

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:c2d58b82b11cda79b78546eb1da7d7a2544286b74462b22ba33cf4cd769fa808

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=sha256:6080d3186409c271b5554d329214927013ecfb3427d11c393b78d1d1d2b31017

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:e4c34d2c16465559e2a3117e5ac69a2e85e37ce514e4016a91787d1e466a1abd

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=sha256:0aa125ec3025fef6b3ac1c2d2951c4b3fb9ad86444d4e87da2583eba6c8e9f05

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=sha256:1b3c67e09ee2a9afa8f3c838414ce6b7ac1b3c2fd41b0e4b94561a0e0cf0a0ba

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:a90a59909b0c5637a3c5ec5ea055f8dc39e27087917d081121e79776099f4aab

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:ba0e551f2eb0683c79ac7f9d7c36060c463054ea5fd9591e8e5b5ccd7bb87f53

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:c37c8150ebf25d8e1a2a9799d38960319b787370cdcff35c6aa6a609a654f797

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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unresolved
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:cd78aec614b850aa12f36d81cefb4fa475563a573b3fb725b99bdc1c1b9222ec

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=sha256:733148aba82914a87211a053e49f66691ce3817901694a8c96a43a1a8a64a260

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

Resolution
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:e18c2981b9fa67950e580eb9b7c95ec870608dd000f89cbc06a186d65bfca68b

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:feb0711fa01a66a50552b504378069770ba368f9b63630cf28be69ef8910d626

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=sha256:516e151cb7cb672d24df86f2a1599bc6222921d52fb08671e69d47c9b7d8acb7

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=sha256:803a54fd3b80d1b72ddb2b1b88f74fd0aaf436cfbf6e42662458483cfe2a2708

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:d40a4e12ed83cd7b1cceadd044871bbe9b6ebe216b717dbeda6d0edecde2c2bd

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:cd81b2a6704c0c978c9ddc6ba24107a2a015f90097dcde852ab9065c3827626b

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:b53cb42d641371396f7d8875d0d1d4e76d84c9a0b17b5ce989f43985e1acc3a7

Pith citing papers

No inbound Pith citation observations are available.