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Paper Citation Record · LEDGER

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation

As of 17 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 2026-08-17T06:30:58.91139+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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unresolved
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:cec3cc661b96fe12ffbedb00226294e23bebc1827dd61a889f7138a6bfbaf301

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.840584Z digest=sha256:0527f4f129ef9a50000662835a743bb88941083740a501af92bddb77f4028045

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.846026Z digest=sha256:b867b662ee3a9102fe5b9e4f2f370b9721e73b117c96cefc98f12760f2b86761

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.851730Z digest=sha256:05660c280cd8354bac7397a29c662a904ec3b744c7c049c0d5d1a5a1ccf522b9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.857117Z digest=sha256:1f40f9290a1c252567a8eee35d0cc946f3d662174908dd6a081c0aa0962915b3

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.862453Z digest=sha256:64f555f7ebc86eb9dba0eecbd086f94f2c9cb59d34d7b68da4626eec704b9f30

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.868932Z digest=sha256:4a9c9e39f5882bdb5eb9afc7b7411d222c758315e398a2532afde246c8548183

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.873806Z digest=sha256:4ea42d2e8f16b3ac9ecbc7f0cc0f559e1b56ba66b7d3a1893dee1bcab42651ea

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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unresolved
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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.879977Z digest=sha256:d8b8d477bc72d4c4d6a3b26c7361bd11bd7308c8579d3ddfa1676cb5205f596b

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:b626e47f595f24c5f7ad26587d5e3bff09a4e347b38fbe42c8bd2ceaa3119bb8

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:b45a9c28ccecbaa1b461feb8e6ed57c37badb06a6cb910bcdc50ebc0801a3536

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=sha256:3fcfda9cb4fb0b452e2b0307a8771e281c12aa2d016d19a698b24df64481aa78

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.906103Z digest=sha256:6da3dbbb929e7954ba34f8deffeb9f4c89b14a02b1dd8e0fe72ed98e8b9c4aab

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:b3159d16809276b7aed11140e5d6a56ddfac97ad62167f9dc86f1139c4c182f6

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.917708Z digest=sha256:2f7bc0e304f9f8c92ac8c68609c4435e0dd8503122ba5832d56fab976b665c4c

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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verified fuzzy
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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.923043Z digest=sha256:716f79f9f19344587497c49de472476dcf1a7d7e081e7e436e83fc8da5f85538

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:d1dc12a3fadb662126694759c7755b66f601d6c35ef816a9bb03342f401d275a

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.933539Z digest=sha256:804c4f4ec9bdb5f6232f787cbfd1c803ec348007166f93db4113b535b26c682f

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.938597Z digest=sha256:af934589b28d63ba5133300af81b6a8ae3dbd99c907b86c83a0e1dac277bc1a7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.944948Z digest=sha256:1d5865a196048e5aae6caa7e2555d566cce27181718c766621b843f0e0a9a0a9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.950162Z digest=sha256:8b021f4d46d2f7c976bc14a8b1ae409cb44a4237910197259f31170c7324d4c3

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.955587Z digest=sha256:665cf67bfcbb6ca5eb98c0569ece8db93f7dae3aeb864c1f00d79931a6c01013

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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raw_fallback, observed 2026-08-11T11:21:15.704626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.960886Z digest=sha256:b69dbc9e1904bc97b564cc2b09b6de12527a8a758e6ab6486c9982a9bbaa98fc

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.965925Z digest=sha256:d1866e51434fbd369e08e452eda1bb2978d71e242a50586382a8f25322cdf1f7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.970989Z digest=sha256:39e3dc7fd062501e4c47f88ae1a8153e9a95f6653d3fcb7aa15137e5a333ad6e

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.976864Z digest=sha256:b553c51d603a1c1fdfa0a064c31ff3aff6ec04245a5ccd9f9f9dc602720209f9

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=sha256:1598573fcd65cf95119986ae1f4d6a940ba219cda31d0e0657325abd4c15f820

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:a47e15bbdac9b0ca2cc02e77396d56d058c4e87a33a67e33d28148e1b8c1e9d6

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:14.994792Z digest=sha256:0b4110cbc9a10ecdc77ec8c7b393f7829710147088f0435a92bec134857ff06b

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:b88fbc367578ca307e097736fd5339ddcc8a84672427c9b44ab2b5b7cca0a39d

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.006365Z digest=sha256:b7fa2ccc3f4bbf667f737675127ff4e694f75ea6ee747b9cb5fc0e575b81963b

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:f7cdf0236d744519a20c188b0ff39b1f160062fe421436b5a57d47afd243b518

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.019075Z digest=sha256:904bd4b9f6827109bdb67013e0f80dffb2ce22888e79b9e02cf55523d5aa6e02

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.025079Z digest=sha256:56d4f62566093c601fd7eaf00aacdf8828260fe7c2ecb8520ec6f28e5c9d808b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.032417Z digest=sha256:2758816c85b03f3ee6bccb11f79d79c2838adc59c95378b4fdc532111cde05b9

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.039992Z digest=sha256:f583f278dbeb201999a251d9f0a8efb1e97310a8ac4ee789f4a745af5cf188ac

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.046506Z digest=sha256:fbb920219d542e685d1a70f8061de4420eab8033f60e3739d730616ad4e37bac

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

Resolution
unresolved
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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.052269Z digest=sha256:2770f5f69618a0749bdd157b58fc1791669b9cf92cb9f3521849c72076e62bd7

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.057794Z digest=sha256:de0122d5488d3a504f730924c7fd77170f693038bbe7ef4551564121357a1a64

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=sha256:7851b8cd661988dfd61145c63ce120e914097350a111fd1f924ef5ad76744620

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.070372Z digest=sha256:05d542f60c06d10f5ae8a5ee926c473067329790c977a0beccf8616fc4082c2b

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=sha256:729080063b56b0b41e1899483cc443bc4716c11c80c78d9eca6ee9005422cf14

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.082102Z digest=sha256:4df3c8a95859f7590847da5c7ae616543623d8e5813999588a842907f5b09956

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.087918Z digest=sha256:e9d786c073139fec1710b0eeb2fe002f11d5e02e3df4443cf4c587f4b7586f2b

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.093598Z digest=sha256:85c7c9ea56adc1a6b743ad9654fe65be01352d5630d8065c9a8ce05c176ab6a0

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.099629Z digest=sha256:f0cd5cfc1aea89e902c5a39c9409ea0ce824dd6b03905a665be8b09adb20e371

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T11:21:15.107047Z digest=sha256:8c0c1fd8d876c8d1f732d322fc9d9dd0e954f1d454fedeffa014787f372480eb

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=sha256:7d33545a17af9d7c29ecfb84b78ed25be7535f4ebe4e2a32340060a4adc42433

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=sha256:5c0da68874eaba3c5885c479686d0c91f189a574c23a7cf2e9ebaf692f9174bd

Pith citing papers

No inbound Pith citation observations are available.