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Paper Citation Record · LEDGER

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

As of 10 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:ab83903434ffceffff5b82283977a8a46249e468ac01ac11ce60dd4d4013d3a8

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=sha256:6ee6a790d65b44f24ba4ecd6730bda619d58af6d9fc5269019b776998ddca91d

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=sha256:11609eaf25f24cbf39209927dda58b1622d897ca5e9ea7e734ed8ab8a20a54e6

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:b3bb754254498e733902fcffbc87a719b7dea81be48011961e1f9d5c6dafb082

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=sha256:859631175e1559c17de2a56a408a3fa145364adbc7299a191ecba18741a64337

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:d9e0022787bae82708aad0e55bbd31d67aff60b4577981668961e2d47925fcea

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:a3f310f21130ff76fbd859b9c9b1977c1a46b4c5cd8a3646eac3c22f5163ad8d

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=sha256:153df01e1a9bed0dea72a495cc4d657de45669cd09364682e608629f0322cd63

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:b4bd82058cec99e9b9e4aafc10b94a27c2db1d52323bba052b1156573daeffbc

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=sha256:1048f390c006e8293bf0d034b2fec06504b9aed9ec3a8f2dc4671d0643c45bdd

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:cdd84e8af312a26ea268c8e10267b71bc80e6c6b9f2513b02c4b34ecc11c3bba

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

source=pdf_text observed=2026-08-08T00:14:05.683196Z digest=sha256:eb3974afaf1fba2d0f89c3cf1458476654fff20d823222444f5e580f18338f03

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=sha256:72f7284960c6d83affeec219f4209f4b77df086624db0d68f1ee81db6c2faeb0

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=sha256:4289ef40d6f320267a40e432f87d83654df09e7b4d3b826491648dee85830276

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=sha256:0c7262dc50ff5db6cfb0c2302463ffc9852f73699269f0f1b8a8bc94f7b05d86

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

source=pdf_text observed=2026-08-08T00:14:05.704610Z digest=sha256:0d243dc9c662c269e04a2a3e11c47b94d35ec198e969edd74d56b19be34ef0c0

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=sha256:900a7f7a0a600be66757ddaa644d832b138599bb2a4869c5fc2a18c67640a434

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=sha256:08b7f9eb2b8388f57a7b77b662cb58c83d0d04d8c0b9880cf98e3b6febe695f7

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=sha256:488e9bd2efc774a6715ada9aaf7c88cc0d924eeaf0d8493a95e80345ff30e89a

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=sha256:54fe0bc5648a5f8eb56d65982296de63c276793c83be327e73dd2a87abd14bc6

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=sha256:08c66310e1d27e357d7ff0ba6da4e3dcac021a6d8f9f75fd2fb19d3c99d342ef

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=sha256:0b4b07bcb6e63419cb131cb3f65c5780c34d1dfd9344b6e201bd9fac49891763

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

source=pdf_text observed=2026-08-08T00:14:05.726833Z digest=sha256:be608e79a63fe3ff6fbd84ff6d171527d65eec3648b9743bcc9269148c54b6d2

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=sha256:89ac5ef1cdc3e7f2dcce6189e3710d21ca7b086d8ed74906d43a61b8c4f713cc

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:dd222b32feb770e9df9c58075c5a70910dca061386a93adc73b5f9aff4e7314e

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=sha256:76ffb39dae40836ec19ddf0065c2a9715ddd9d20dfd977d2df20f894aed05b34

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:a071cde3cc40c420ed2edfb1435891f0a81c297ba74cdd5bd03407b39dfef109

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=sha256:17795553a866b42d1c17b4b61db1e986e8671c77e76544135200967725ce63e2

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=sha256:119d43f727e5f45b1701b166f84d63de83d7a39e26242f56acfeebf219979e4c

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:d5c981ba64ec10b110a3cec54656dbdbc4466722ec40746ac61e825fa48ca0eb

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=sha256:2bc29c86ccd0eed190bfc8e414f5a11ed25159f85cdaf8288c229277a15528a9

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=sha256:3579a1b90f864365f2a09b6e0ef912327cf39ca2d05b852a03d15af169b05201

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=sha256:9346e092f3fb3523a6101165b59c111e95ae3113c8f1a59311f9f9179743d881

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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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=sha256:258f626624a395db3c31add44d25121aac5ca058ae865e6a3f19bd4d49731860

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:cbe2e63975d0db12fc91a8f50d4296e44ee9774179da069c8e16ff64d9993f59

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=sha256:5906ab9f6a2e7657738408ce935c1d2bc140ef2ec9dcef8888b345d7c0addc8f

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

source=pdf_text observed=2026-08-08T00:14:05.772560Z digest=sha256:a83db1999e17b9f6c471d9582128c3ee22eecb66f6d1c450363c6de3db432c2f

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:dc235c8e80d4156dbb77e3d9848e478df224b4bad934de0290cb569cb2659f67

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:a660147fbca6f5ecab508e2498f1a77977d0addcc294b96699ca7d432f4485e6

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:d6224e58b2a9ddb1b1b3f683b8e3b710ecf3999252ebe18bb54e39ec100e397b

Pith citing papers

No inbound Pith citation observations are available.