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Paper Citation Record · LEDGER

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

As of 9 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 2026-08-09T06:31:02.800959+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:be952e6a47860d1c41be716e4297ea4f05858268206a63e525fe59d225ec68f7

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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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:da4131b138b03c911a7c5509d2a5d3a4e13ddef597248c388bede3af4529a587

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

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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:d5fd3721d06f995918327beb9d71c6e09b2b135dc426931db92535063b1c9f7d

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:c13931142349f538c0b96748cce87cc7a6c10c7db068595517573ae14c89d293

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.662162Z digest=sha256:73b455f214001a769a003db79dcac8c80f3a753af46ffc51ab9f9df6cad59a13

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=sha256:36c832f7f54751e3ed73ba6ecd13316a0c8e654ac18c442743ae85108ed48dea

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.672163Z digest=sha256:feba648b5ecdea841fd49fadc9d578a6dab2f8221faa5bcac95396fe4281ed82

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.674864Z digest=sha256:7b96112820fb4d4d8699654d605dab8bc178de04fecf37145dd8a5f8af502437

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

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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:dd61a37a73e0435319ff95bc43a6509f541bc6b7aaddcfc86d6995c5f000a7dc

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
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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.677694Z digest=sha256:77ef1eea49d943296302d7dbc126eeeb4067bab88fbdada2aeccfbb1383bd9d6

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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unresolved
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=sha256:2c841d9a156f7b1216f5df8a4730be9d8620fc0aa2a69fa45eecb602c0deaeb0

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.683196Z digest=sha256:f3771f55ad24f6db58589f2567ba21ed2b95b353762c7ad937fd5ceae7585077

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.693946Z digest=sha256:4c7338d1a31f7b66e74cf1961cf9040e6ae4494ff2e8f5a86b3b5b0b35d22911

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:ce9a1548d9e2a1994eb80ebaa3c353063b8a07544a2396eec86997865ee85be0

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=sha256:7959476be189a4531add3d3d5b0b0bc1c9431290010e9dbbea4a692d6b44e948

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.704610Z digest=sha256:b0d8155b844c12855ccc5836f05a133a1ae27d3dd2653b99df0f6d6b14b7f483

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.707860Z digest=sha256:07049e4f647f2e74f6e26367e64edc9031b17173c7f75f3efec82ffc9fd66829

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.701516Z digest=sha256:886d539f88c509339e196a4599bba99e7c0344ea8fbc9991d2b7ff5043b6a157

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.714181Z digest=sha256:6eedad81d9297756cb18619cf3d188669090a97d27f82273c6a1ef307e6d509c

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.717404Z digest=sha256:be0519299c0575276e8c7e17c44180644e5f97eadcef8ea845d0a98a9fccda29

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.711169Z digest=sha256:7747d3850558f73421552fafced6ecd3e4838d47c95da564cfe85ed2c002760f

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.723780Z digest=sha256:13eecbc3ba2f41d3ce4c3b10e79c0858b0b9a4fbbe0c05b6e8297aa34f6fd68a

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.726833Z digest=sha256:31944962dccecd589cfec9900c6055495470dedfb5b3a6fb614d18d31a789b6a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.720703Z digest=sha256:bd0afd6ce6fea29f71a13a74a2be8061a952d9afa1cd5e0b07541d323113ea4b

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.733554Z digest=sha256:a300417066155a35f231542255b8336e289cd034d622d63fd9fb4f973fd2a60e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.736698Z digest=sha256:e087628a789f659e4a70889152dc4699091317a5e84ef78a504acef95fad3438

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.729908Z digest=sha256:5536cad27b4a9230a23cc3d4d9a692111e80c304c645911f9fcdf85429d27d44

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.743160Z digest=sha256:aca2d53651b012d814a16ead281519a46f5bf561cd8065e36264aa1e0f9af552

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=sha256:61935e1014cd0460a2ba76b25915f08bedb494db20151939900dd083dae08a2d

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

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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=sha256:98459c014668e6f2b4670a303fd98f6849c07bf3b356ad149bf3d3fc33770a5a

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.752274Z digest=sha256:255ab3d0557bbe5a01eaf6a4928f45841d420d8226794ed4a3b2b904893ee6af

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=sha256:8ea57ce743ef6cf7f90894d430b25427cd633c0d21f33c4f853920fe35d81cae

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.749118Z digest=sha256:08206d4c7d4697479b1e9d9d98fe8d890d3b9df540362d65696ab83764de825c

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=sha256:9d4818d2c68bfe77b7b05429b35f4592132863d2b5301966391d71857da4b00f

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.766131Z digest=sha256:2be83462f82691561de2e7a489e3d805052750a001bcd777c708b7d0c69edc80

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.759237Z digest=sha256:6ede303ca191c4d6b3cfa81f4ed562ffe84027ce1078397b92c0da0c8f1acab1

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

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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.772560Z digest=sha256:3859af646cd57f394f4a0e145ab82c97e545cc6c8e3d794a01ab9da7a15b335e

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.769185Z digest=sha256:46e7ce4dbf2e25a2e28313c69375e22064c718a94fab1780b0e0eadecf283f43

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=sha256:8df1ae7ab369c92fe0ca8cda6a3bc77d5417600f3ddec6368ae27e9037b9e7a8

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-08T00:14:05.665703Z digest=sha256:4e487da3bd01892dabda7c79b73abb30921563b162b17309623719b0d775ffe8

Pith citing papers

No inbound Pith citation observations are available.