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Paper Citation Record · LEDGER

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation

As of 12 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2412.15582.

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

pith.paper-citation-record.v1
2412.15582 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:21:15.119831Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+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

49 of 49 outbound references displayed

  • verified exact1
  • verified fuzzy7
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 74f7a21e-fba3-49fc-b89e-3d0d0b5dccbe · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 1

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no resolver link, observed 2026-08-11T11:21:14.834069Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:21:14.834069Z digest=sha256:ec4d8d65fac62e37c6ea201115c33bf55986234492d3e76a5e975df23a8d8611

Observation 0343f564-3577-4c58-9437-3aaa618752d2 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 2

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unresolved
raw_fallback, observed 2026-08-11T11:21:16.026870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.840584Z digest=sha256:a66d3835c2d24ae1dd9981fc7ce39ad529c164e268f3c6a93ea6405f8da24668

Observation 3a9fe5b5-3a3b-4a06-9627-9263b9c6dac9 · outbound

This paper cites D.; Mendon c a, M.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation D.; Mendon c a, M

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-11T11:21:16.007443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.846026Z digest=sha256:0caf9c93114248be2a77aa272ced6827417dc85b63c11a3cf366e70eeb7d2473

Observation 941791d7-054a-4f18-a743-c696a7321366 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 4

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raw_fallback, observed 2026-08-11T11:21:15.985668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.851730Z digest=sha256:16a4c297a6bfea0e008b46a77058a09522f4c4a3297d22c0fef24ec49cf4d71d

Observation 21d90b84-0743-407b-b956-28b4e7e62737 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 5

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raw_fallback, observed 2026-08-11T11:21:15.965879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.857117Z digest=sha256:561bdca8199e583531a0bb00b8dd9f47507c30255768179ca00fceaa5f901238

Observation 98eca5d5-4883-44d4-a4f8-1999667fd4de · outbound

This paper cites u gner, D.; and G \.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation u gner, D.; and G \

Reference 6

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verified fuzzy
raw_fallback, observed 2026-08-11T11:21:15.947831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.862453Z digest=sha256:f10ba418ff922b04a198ec6e271b2cd70c7480a254d76a8ea9c3d1da7af61f17

Observation 43249165-6261-4833-adce-f8c08a1eddb0 · outbound

This paper cites S.; and Obara, B.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation S.; and Obara, B

Reference 7

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verified fuzzy
raw_fallback, observed 2026-08-11T11:21:15.930078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.868932Z digest=sha256:f20d572dc80514147a7f51000058046895ecabc80e3cd2c4644adf9acc99f16d

Observation 08b4c7de-cea4-4d04-8b7b-d0cf974d2007 · outbound

This paper cites Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Sequence-to-Action: End-to-End Semantic Graph Generation for Semantic Parsing

Reference 8

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verified exact
local_arxiv, observed 2026-08-11T11:21:15.296795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.873806Z digest=sha256:5967bf02d6a056dc43703489badcfdbeebaccd1d405d98ddcc4300c32bc37da0

Observation bddb65e7-5a11-4b3d-8a25-39fb4d6c578e · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 9

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raw_fallback, observed 2026-08-11T11:21:15.912710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.879977Z digest=sha256:430debb873cb8e4b20bf7301b909d88c6e02fcb6ba94f8ced51484af3f529d74

Observation d8ea318f-325f-4a2c-920a-ea421593a6ac · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 10

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unresolved
no resolver link, observed 2026-08-11T11:21:14.885310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:21:14.885310Z digest=sha256:977a2e54cf75b28e3c7574ecb5ee2c221991a3e57b464a201450bc48821a84bf

Observation 7afbe63c-9476-4f77-ab35-c68232a9579b · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 11

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no resolver link, observed 2026-08-11T11:21:14.893149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:21:14.893149Z digest=sha256:944d3358328ef50b66bbcd97ebe75d525420c31fb30018acc19cc04722c09b31

Observation 99861e56-b95b-4daa-8c68-dc69082df989 · outbound

This paper cites A Systematic Survey on Deep Generative Models for Graph Generation.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation A Systematic Survey on Deep Generative Models for Graph Generation

Reference 12

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no resolver link, observed 2026-08-11T11:21:14.899753Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:21:14.899753Z digest=sha256:26bb81b485b6d000405c10e4d2a360169b097557f8fcc558f5c6252fb2131a91

Observation d28f31df-a88d-4669-8675-c51853647d12 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 13

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raw_fallback, observed 2026-08-11T11:21:15.866119Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.906103Z digest=sha256:7e4105637a199b8492f15b50223bebfaf50df9249cb4fb1b6c34c9287451429d

Observation 9f7b7d0c-7135-499c-b23f-8cf652bcfaee · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 14

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no resolver link, observed 2026-08-11T11:21:14.911971Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:21:14.911971Z digest=sha256:10b4442dd3c6b7f50ff4c41947c5cfe9fb2cf7f2d14fd26580136c231f72d22f

Observation 54430f3f-345d-40b0-8035-61b6627e7aa4 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 15

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raw_fallback, observed 2026-08-11T11:21:15.835168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.917708Z digest=sha256:bd70e916692eeebbbc60e72ea963e5a1aa9a2ba7b9d6411cba7b078265eeac86

Observation 60f6da20-7f63-40e6-ba99-6868c10fec7f · outbound

This paper cites M.; Goel, R.; Jain, K.; Kobyzev, I.; Sethi, A.; Forsyth, P.; and Poupart, P.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation M.; Goel, R.; Jain, K.; Kobyzev, I.; Sethi, A.; Forsyth, P.; and Poupart, P

Reference 16

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raw_fallback, observed 2026-08-11T11:21:15.818230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.923043Z digest=sha256:e74f4ccdd4a525a381b6f4b1cf37cecfa4a9083ba06df2e19932dc011e83be50

Observation 7aea2c54-6972-4032-8f15-9b1d4ff729eb · outbound

This paper cites Adam: A Method for Stochastic Optimization.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Adam: A Method for Stochastic Optimization

Reference 17

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no resolver link, observed 2026-08-11T11:21:14.927788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:21:14.927788Z digest=sha256:695b9c71c14ef3855b37b6e6b6748ddaf5cbc1493e6da36f74d34d9ac4e4f084

Observation 85d7b7d8-b01f-4b2f-bc36-a7d6a2906f6d · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 18

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raw_fallback, observed 2026-08-11T11:21:15.799738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.933539Z digest=sha256:da7ccb4e89bce58f4621714aca7b2256deb560444dc6d588d8711ab50cc71d6d

Observation ac18852b-ade7-43f8-8ae4-4c5a0257e20c · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 19

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raw_fallback, observed 2026-08-11T11:21:15.779994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ded6568d-e045-42c4-8108-61e0283aaefa · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.944948Z digest=sha256:c978c1e3d205a753c2fcb2a95dc291d212b32c0676427ee7d8b435505692db4d

Observation c9b5f10e-61b5-4ec8-833b-911016ef97ac · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 21

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raw_fallback, observed 2026-08-11T11:21:15.742633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation f96131c9-56e9-4eae-99d8-688ff432d9f4 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 1b4420d0-b1c8-4ebd-a963-4b96fb4e0c1d · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 23

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.960886Z digest=sha256:f629f4c6062910433865640bc5ee5dabbe32189ae8116168da2fe33c9e4d4efb

Observation a1747bac-069d-4110-b70e-b545776c7b57 · outbound

This paper cites H.; Lee, J.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation H.; Lee, J

Reference 24

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raw_fallback, observed 2026-08-11T11:21:15.685913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.965925Z digest=sha256:711ddad44a1c355d441341514500d0da5e7273e15c0efe3f7ee1ac3249950c41

Observation 9a3e7caa-46c5-410d-af2d-3428ad369a2b · outbound

This paper cites H.; Lee, J.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation H.; Lee, J

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.970989Z digest=sha256:fd985c8932942dfa96f5feb4d8385bd134ef5f76061c7bfddbc972ad61ccec6f

Observation d2aa6888-51cc-4738-938a-041147849072 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 26

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.976864Z digest=sha256:73850efb769f0748ad954b7ac94fd697f67218b4ff0fc6df15988982ac8538f3

Observation b464e8f4-18bb-43c9-a806-b9f5725db4c8 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 27

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no resolver link, observed 2026-08-11T11:21:14.983152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:21:14.983152Z digest=sha256:c9dbf98882ba1dce6b111b62dc0caa569b187033dc19f5c7e1d08dc599c5b4c8

Observation ea5ffd0b-ff11-4cb5-998e-77277712d225 · outbound

This paper cites MolecularRNN: Generating realistic molecular graphs with optimized properties.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation MolecularRNN: Generating realistic molecular graphs with optimized properties

Reference 28

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no resolver link, observed 2026-08-11T11:21:14.988451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:21:14.988451Z digest=sha256:506a8a3b6b70fb1bc230842df7c0c558f94ea051634ed6d3d5a25f83eb9b2a63

Observation dbb3e321-56d6-4ea4-9101-36d43a9f3af0 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-11T11:21:15.621066Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.994792Z digest=sha256:12c24f890fb8e3847870b8d41473f309481d3590f291650cb894624e45d8bab3

Observation d407bae2-4c45-440a-940a-2149e7f78872 · outbound

This paper cites Temporal Graph Networks for Deep Learning on Dynamic Graphs.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Temporal Graph Networks for Deep Learning on Dynamic Graphs

Reference 30

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no resolver link, observed 2026-08-11T11:21:15.000689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:21:15.000689Z digest=sha256:ef5ca8a893e0226309d6736feecc82a339aae26803d28621db19a49641ec485b

Observation 597c4336-b2c2-41bf-8a73-1489b0eb97b8 · outbound

This paper cites E.; Hinton, G.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation E.; Hinton, G

Reference 31

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raw_fallback, observed 2026-08-11T11:21:15.603649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.006365Z digest=sha256:b45a64e17616935a4c3708767eb1aaa08ff5b62c04b0ab724a997acb7685e975

Observation 7e91805e-aca1-46f0-a5fe-d0ba4696b0ad · outbound

This paper cites Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Masked Label Prediction: Unified Message Passing Model for Semi-Supervised Classification

Reference 32

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no resolver link, observed 2026-08-11T11:21:15.012196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:21:15.012196Z digest=sha256:421624e88963438a6efc8f166fed521a1bf099cef2ac1cc59ca80e219740426a

Observation a24de640-126b-4644-9bb9-61bf233d184e · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 33

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raw_fallback, observed 2026-08-11T11:21:15.584120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.019075Z digest=sha256:0cd103898c3a9121b348662ca8770aa018e1430736625ea195b8efb2a9bc5aa8

Observation dbfe09f6-f553-45ab-9267-77757743b034 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 34

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raw_fallback, observed 2026-08-11T11:21:15.564892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.025079Z digest=sha256:a6bc297a4c5a058e2beef71cfa53bf3d57a8c06d85abfd5915ef767420613d60

Observation b8374e3f-5a87-4a75-90c6-a88fff7a2820 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 35

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raw_fallback, observed 2026-08-11T11:21:15.546357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.032417Z digest=sha256:31daaa25d15a3296433158152bf69f42ad5f41d371d9f2fc31f193c90d5b5960

Observation 7fbfc7d6-0473-4230-8022-ca0f19d02b30 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 36

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raw_fallback, observed 2026-08-11T11:21:15.526070Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.039992Z digest=sha256:d07cd9e33f6ed588235217e0358b98edec185feb08c94f3d3e304e71d59bcdc0

Observation 1ff47b18-cef7-431a-a30e-1c77c7196bd9 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 37

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raw_fallback, observed 2026-08-11T11:21:15.507830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.046506Z digest=sha256:d160fccedff249c3f396dd33c325da104c73398c965af277eb6125d854eb5478

Observation cc446762-5664-4846-b639-482ebbd488fd · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 38

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raw_fallback, observed 2026-08-11T11:21:15.488979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 10b68d2b-7026-417c-b797-234332cf44c1 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:21:15.470291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.057794Z digest=sha256:e79f5d078255f8a6ebcbf57437964ab5a07fd5238c8642a98d9ab83bd7f60c42

Observation f0342a95-bdd5-45de-8a0b-61f9dd45379c · outbound

This paper cites Inductive Representation Learning on Temporal Graphs.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Inductive Representation Learning on Temporal Graphs

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T11:21:15.064099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:21:15.064099Z digest=sha256:723c88e3b722ccdf6f76c7f2ae8ccfa75336f8671d9992a80efd02d729eaef97

Observation 0165aef5-df7a-4235-aa01-a79b6d7ac2c2 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 41

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:21:15.451170Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.070372Z digest=sha256:a2e6727d1d7c5bceda1d65000aefcae1cca261c58d245d700d590a878c44cf17

Observation ae34bcc8-3631-4ac1-834e-9d7a0cc24e95 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T11:21:15.076213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:21:15.076213Z digest=sha256:f8ec133089c20225c0164893b675b69b285153ecf3b7d9d092cefd34bb6b7e0f

Observation 5195372f-5ee3-41d9-b5dd-42ce8edeca17 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:21:15.418800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.082102Z digest=sha256:66c23454506414da3979709d0c693dfcb62258efbb2f71531f3d16602722309c

Observation 2a056b89-78f5-460d-9ad0-2bf38ddb8a88 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:21:15.401664Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.087918Z digest=sha256:468eb28b32bf422d0a370171fbac9d8ca57f037c30c3eaa8154fd83cf29c3b85

Observation ff90ef57-dae3-42fb-b469-534e4b8dc1a5 · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:21:15.383295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.093598Z digest=sha256:9be7f4d0d3e7d7e4b5b01ea294ae50cd9cc9f46d3575e4b3b5d0fba7763c1112

Observation 3784f6ac-cfb6-4210-9564-67ba1b7b6c2b · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:21:15.363337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.099629Z digest=sha256:d6b00ee12571cd58dfad7450a08a8b033600ea5243c805054b9ca8b6ab10a402

Observation ef2fd9c2-c980-4d25-824c-880ccd2b1ced · outbound

This paper cites an unresolved cited work.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-11T11:21:15.341855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.107047Z digest=sha256:33f9760121ef57748e8feb69186aa57c9e302c20356961efd7f310679208ca26

Observation 202b1e44-d8d8-4d55-b159-985298dfb95f · outbound

This paper cites , " * write output.state after.block = add.period write newline.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation , " * write output.state after.block = add.period write newline

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-11T11:21:15.113051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:21:15.113051Z digest=sha256:b7d02ce6022ccb594dc11c60ad626dc919f530fd393cc658535407adf8ec653f

Observation adf6898f-d676-48a2-8a31-eb1c21926a60 · outbound

This paper cites write newline.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation write newline

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-11T11:21:15.119831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:21:15.119831Z digest=sha256:48bde3aeb0a3377393e4f2bc943cadd432ffdff52c2c7c22fc9d4a44df26ee75

Pith citing papers

No inbound Pith citation observations are available.