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Paper Citation Record · LEDGER

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation

As of 11 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 2026-08-11T06:34:44.6726+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=sha256:77dc98101f64413a8b85e3fb920f2c034cf37ff5157b46e08e6acf12eb574602

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.840584Z digest=sha256:028ef21ce6674652314b883712513ff10a3df396369ada172f6d58f6cbf95930

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.846026Z digest=sha256:76765f06221a306ca6d200ca1069d2834f7bd7b828bd3313cf08420404b5346c

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.851730Z digest=sha256:e892145d6bc4ab3d89be1188e2d330547e983849c186690f36e0c4f67cf6de0e

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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unresolved
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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.857117Z digest=sha256:1cc0309ff0e0166e5b6b59e8c1058f4c07c611fc4dba6a32d1789b7004dc35ac

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.862453Z digest=sha256:9b3643a58873175afb385785332309a10debc7c12ec5d4372eaa99c2df3d6714

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

Resolution
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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.868932Z digest=sha256:1b4b3c456db207c05042af9602464001f9b2ac9ea9c4b4b7be0bee8367ce0b8d

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.873806Z digest=sha256:8f8ae03d1ab97af0afdaf9325c4f1e0f670376917dea01a608360fa57e597088

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.879977Z digest=sha256:c476b7f8fe7129da86a8deb22918e60b71d13b9fa921fde297fa3c12d91fde0d

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=sha256:27bb9e2d951a9cf5feb9c1020ff3e5f494c6397920f357e9ab89bbbead0c1472

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=sha256:4a0f5bb806046249c764c0353bc996d7d5165ec00c051bd6f1ed6ec52a5dccf1

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=sha256:2d45dfb8692ef23eab556948b8639cc0f4feeb4268b3fd092406daa986405656

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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unresolved
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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.906103Z digest=sha256:3d3b3b1c1d0300921ce709d7fa90617cc8772a53448dacef0bef5cb9b0037e18

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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unresolved
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=sha256:9127dbba8e0d3dc06afb4ab9466bf8a19c509af308e993b56a4c126dc8d25fa7

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.917708Z digest=sha256:455e394ad67e0d202619e2e28e321ca3334dbe1952794aad870e3b225b9cabb8

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.923043Z digest=sha256:c9536f48fedf7d600504785df6b484c1581a9285619f1177c5754994f0ff0159

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=sha256:8e72ff879f6267bfaf46d2bb6889657c85e6217a9ec85140e8921a4c08cfc916

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.933539Z digest=sha256:8a91caa1bc5a9389898f94d3cc61e68bfc70cf5750180d33d1162b31f2eb9e79

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.938597Z digest=sha256:26de0f5e1b515fb0bd5eb837938b1ad9dc3f04b7607959c83df3f9fe64f849b4

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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raw_fallback, observed 2026-08-11T11:21:15.761519Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.944948Z digest=sha256:751c51952d944a1c147d1c03345a6a3ce0eac1c5d94c4d064272bf2b16f7a049

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.950162Z digest=sha256:28e18e883edd2b0ebddbaaf9d0fac1ee8780b39d42c31c186f58983804302ef5

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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raw_fallback, observed 2026-08-11T11:21:15.722932Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.960886Z digest=sha256:23e8cebe13985c02b8bbb5af32a831aa834b47de1618488cf61d5c6aca832e0a

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.965925Z digest=sha256:c8ca9ac5daea6dc473a1cadb53e7a867718351d1cfe24b5b2db8023388730043

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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verified fuzzy
raw_fallback, observed 2026-08-11T11:21:15.668298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.970989Z digest=sha256:85971e8af476e7e208e603594ce76e69fd4663c4dd70a56edda955efe0856891

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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raw_fallback, observed 2026-08-11T11:21:15.651548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.976864Z digest=sha256:98136493a23d9af9c39522111185cb3d3a64fde6c2c57feb010bc8226e17320d

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:a81b7e8eb5b4d52f6fe8feaf2b539a4ff1d2025382cdce8596eef12d46e6f66d

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=sha256:8bf7bce6cb738b336cc69add66b285aaac6999716b6957b1eacee796a0f09aa7

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.994792Z digest=sha256:04fd257a3d7ac2402f3a1755859064b52f5f67156153942a583cf526a3663a61

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=sha256:81e3c13055feb5c95d2a6c98e6a95ce536c13aa646c84b2482895ad1446d8abc

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.006365Z digest=sha256:4af349a010dbbe4f9ef52e85314a38221c6372438e977c17e78541fa60292e80

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=sha256:31f6734dfabdcb0f8a1887cae6cb6b695c4af1bc869f4f0419ae18e1d9fd4db4

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.019075Z digest=sha256:3e47b14662c2a2c53a0b5aeea99df1482a6bcfdb39c32ab61a22d143db240cc1

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.025079Z digest=sha256:84b720b10218f58b440eb73aec46e8f932f99bbfd2ad29e54dbf248dbe8dceca

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.032417Z digest=sha256:103295608f3a62780dd6b706f323b201087e1b7ae7b94db1526c83451151e392

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.039992Z digest=sha256:883e291c9008d44796d8bac54cec1f50efbfa362265988c780636de13fd80650

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.046506Z digest=sha256:e57a7bc0aaf6a3ac5a4ae870d6f0a5d1b4db99d06072f5e75caba6bcff4cb359

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.052269Z digest=sha256:dc7be4f6c2f1755a30be9ad2bc38cb72f8f506785c04d0f6f84ece23cc1013d6

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.057794Z digest=sha256:9d3725c6afbb64047ad03c83728a2a7cb303e3e4f93aa0b95d8b3ec6a65d366b

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:fe2344436d24d6f2b01fbf24269100e0504166c2cc2f43a9fc715f03525f779e

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.070372Z digest=sha256:a55d69d8c436a3d0852790a4e425d399bcebaabbf167b114ccd7a1fd48b3d18a

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=sha256:36e84fe87d0fcc5a48ead294d98dccc5962469d92b6579fa0fc53fc844e7bed8

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.082102Z digest=sha256:def4c356c793abadcbe267bbbf151b25625bbf8172fcd028533be999a8b51060

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.087918Z digest=sha256:4de458fcde692581e145225fc3406d4e47d003e3effd4433c95817979170f84f

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.093598Z digest=sha256:dc4b9a2498fe1e83ba55067784e5ce4729b52606689ee77ddde67eaa3209729a

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.099629Z digest=sha256:5b34dc547d66689d72c17eed7f66efee00b227196b01f966157f7cf270b7c57a

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 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.107047Z digest=sha256:65694fafc289ae448549dab18db99edebbd05d679662187174f40077ad84da36

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:e82a8b1c3cf8b29ad6292b4f5b33c116f3becf56f1fe8434b0c3326e4af35aba

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=sha256:4b4ece65be48e864d09914ba1cc4a1f9f41b27ef0b7b080406927bc7a0c283be

Pith citing papers

No inbound Pith citation observations are available.