Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T14:51:52.392226Z
Paper Citation Record · LEDGER
Continuous Graph Flow
As of 21 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 2 inbound Pith citation observations for arXiv:1908.02436.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T15:33:05.928787Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T00:39:16.956787Z
Reference resolution
41 of 41 outbound references displayed
- verified exact0
- verified fuzzy36
- unresolved5
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 7bbed681-eadd-466c-acc6-caf4815cc9c2 · outbound
This paper cites Mixed membership stochastic blockmodels.
Continuous Graph Flow Mixed membership stochastic blockmodels
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.884566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d47e62c9-af13-4b46-b71e-8a9febf13afd · outbound
This paper cites Statistical mechanics of complex networks.
Continuous Graph Flow Statistical mechanics of complex networks
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.874691Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ee04aee3-f1dc-4ef0-81b7-e91742de9fab · outbound
This paper cites Learning structured embeddings of knowledge bases.
Continuous Graph Flow Learning structured embeddings of knowledge bases
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.864280Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1103e45d-289e-47ea-804b-cd34af644c73 · outbound
This paper cites Coco-stuff: Thing and stuff classes in context.
Continuous Graph Flow Coco-stuff: Thing and stuff classes in context
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.854659Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation dec5eed1-e827-4777-b93c-5ea4c68f7ecb · outbound
This paper cites Neural ordinary differential equations.
Continuous Graph Flow Neural ordinary differential equations
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.844488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation bacb67fc-712a-4a98-89d0-3a0e717c75bc · outbound
This paper cites Density estimation using real nvp.
Continuous Graph Flow Density estimation using real nvp
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.834622Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation f9b178a4-00eb-49e7-821f-1ef8e4a5a1e5 · outbound
This paper cites Convolutional networks on graphs for learning molecular fingerprints.
Continuous Graph Flow Convolutional networks on graphs for learning molecular fingerprints
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.824460Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation a3279211-b5d6-4025-9149-4f9ab67a7579 · outbound
This paper cites On the evolution of random graphs.
Continuous Graph Flow On the evolution of random graphs
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.814219Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 36f46bf5-e4fb-4a4f-93f6-df9e771ce443 · outbound
This paper cites Neural message passing for quantum chemistry.
Continuous Graph Flow Neural message passing for quantum chemistry
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.804764Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1bf779e9-6a10-4fd6-973e-240916188d39 · outbound
This paper cites Ffjord: Free-form continuous dynamics for scalable reversible generative models.
Continuous Graph Flow Ffjord: Free-form continuous dynamics for scalable reversible generative models
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.795239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation c95da8ce-1f94-49a7-b38d-1dd430ff0bc3 · outbound
This paper cites Draw: A recurrent neural network for image generation.
Continuous Graph Flow Draw: A recurrent neural network for image generation
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.785632Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b5d1233c-a87f-4d1e-8438-38dd6f256741 · outbound
This paper cites Graphite: Iterative generative modeling of graphs.
Continuous Graph Flow Graphite: Iterative generative modeling of graphs
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.775898Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7416fce1-6f49-42af-8d9a-a164be2ff13d · outbound
This paper cites Variational autoencoders with jointly optimized latent dependency structure.
Continuous Graph Flow Variational autoencoders with jointly optimized latent dependency structure
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.765810Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 291b7612-36f3-4375-8092-3738fdadc648 · outbound
This paper cites Image generation from scene graphs.
Continuous Graph Flow Image generation from scene graphs
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.755652Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation eea2c6c3-a4aa-4037-9a64-6ea61c75a453 · outbound
This paper cites Layoutvae: Stochastic scene layout generation from a label set.
Continuous Graph Flow Layoutvae: Stochastic scene layout generation from a label set
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.745624Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3d1abcbb-781e-4264-9acd-b81cbb687b2b · outbound
This paper cites Auto-encoding variational bayes.
Continuous Graph Flow Auto-encoding variational bayes
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.734113Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7ade2b73-d859-4a99-a3b4-46fbf3ecc1ee · outbound
This paper cites Glow: Generative flow with invertible 1x1 convolutions.
Continuous Graph Flow Glow: Generative flow with invertible 1x1 convolutions
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.722669Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 47909bb3-8907-48fa-8597-da8fa65e31b8 · outbound
This paper cites Neural relational inference for interacting systems.
Continuous Graph Flow Neural relational inference for interacting systems
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.711565Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b3b46289-e890-4780-b134-151463073d15 · outbound
This paper cites Variational graph auto-encoders.
Continuous Graph Flow Variational graph auto-encoders
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.701048Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation d3219457-b692-4cf2-9cd5-272548fa0d1f · outbound
This paper cites Semi-supervised classification with graph convolutional networks.
Continuous Graph Flow Semi-supervised classification with graph convolutional networks
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.690359Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 9aa4b4ce-62ad-4e44-8449-3ef626ca78d6 · outbound
This paper cites Visual genome: Connecting language and vision using crowdsourced dense image annotations.
Continuous Graph Flow Visual genome: Connecting language and vision using crowdsourced dense image annotations
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.679446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 847be55a-6feb-45cd-a2c4-0b8aab7d1914 · outbound
This paper cites Learning multiple layers of features from tiny images.
Continuous Graph Flow Learning multiple layers of features from tiny images
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:51:52.295852Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 167b9f4d-0a08-4fb9-9f24-8f676740ce04 · outbound
This paper cites Gradient-based learning applied to document recognition.
Continuous Graph Flow Gradient-based learning applied to document recognition
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.662213Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 3b0ea9a7-14d5-47ce-b0a1-9a2f7bcc2555 · outbound
This paper cites Kronecker graphs: An approach to modeling networks.
Continuous Graph Flow Kronecker graphs: An approach to modeling networks
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.651362Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 09a37844-0f8a-4f0e-ab37-9651f68b020e · outbound
This paper cites Situation recognition with graph neural networks.
Continuous Graph Flow Situation recognition with graph neural networks
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.641058Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 4c344087-6231-4d9c-8c72-4727e51af86a · outbound
This paper cites Learning deep generative models of graphs.
Continuous Graph Flow Learning deep generative models of graphs
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.630722Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 30787a66-03ca-48dc-b48f-b5a487093330 · outbound
This paper cites Variational message passing with structured inference networks.
Continuous Graph Flow Variational message passing with structured inference networks
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.619906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 45d1f87a-3e46-4b85-91fe-bfba09de33f8 · outbound
This paper cites Learning entity and relation embeddings for knowledge graph completion.
Continuous Graph Flow Learning entity and relation embeddings for knowledge graph completion
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.608906Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 1b60a6b3-0dfe-4366-9cbe-78c1637c1003 · outbound
This paper cites Graph normalizing flows.
Continuous Graph Flow Graph normalizing flows
Reference 29
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.598492Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 806957e6-f491-4c3e-a04f-1d8b11a97699 · outbound
This paper cites Deep learning face attributes in the wild.
Continuous Graph Flow Deep learning face attributes in the wild
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.588046Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation e210ff25-e026-4043-ac0e-5515b3a04bb4 · outbound
This paper cites Variational inference with normalizing flows.
Continuous Graph Flow Variational inference with normalizing flows
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.576951Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation b94de3fa-ea01-4c26-96c1-71dcf966b2aa · outbound
This paper cites A simple neural network module for relational reasoning.
Continuous Graph Flow A simple neural network module for relational reasoning
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.566374Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 87fd00ec-45c0-4982-89be-ec2a9d6ff707 · outbound
This paper cites The graph neural network model.
Continuous Graph Flow The graph neural network model
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.555090Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation ba4ad2f9-bb8c-4985-930c-17575cbc1fda · outbound
This paper cites Graphvae: Towards generation of small graphs using variational autoencoders.
Continuous Graph Flow Graphvae: Towards generation of small graphs using variational autoencoders
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.544033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation cdda7d4a-e67e-49f0-93e7-bee7bc51dd0b · outbound
This paper cites Graphrnn: Generating realistic graphs with deep auto-regressive models.
Continuous Graph Flow Graphrnn: Generating realistic graphs with deep auto-regressive models
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.532151Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 7d8605ff-cace-42b0-8da9-e89ced94b396 · outbound
This paper cites An end-to-end deep learning architecture for graph classification.
Continuous Graph Flow An end-to-end deep learning architecture for graph classification
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.521032Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 37691a69-29c4-4e92-8190-bbf0f1aea295 · outbound
This paper cites Image generation from layout.
Continuous Graph Flow Image generation from layout
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T14:51:52.505135Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.
Observation 18c90c07-0d78-42d8-b2b4-401f5c551d77 · outbound
This paper cites write newline.
Continuous Graph Flow write newline
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:51:52.350884Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e22b30e6-b7e9-4a7c-a66d-a1a0884f62ee · outbound
This paper cites @esa (Ref.
Continuous Graph Flow @esa (Ref
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:51:52.355693Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 365d623f-953d-4235-a077-a36705b9da9c · outbound
This paper cites an unresolved cited work.
Continuous Graph Flow Unresolved cited work
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:51:52.359631Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5a672fe9-e853-4c0e-9c6a-fc5b6356977d · outbound
This paper cites In this part, we describe implementation details of our model.
Continuous Graph Flow In this part, we describe implementation details of our model
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T14:51:52.392226Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation 71279c51-6c32-49ca-b1d1-7c89c9285b6a · inbound
Graph Neural Controlled Differential Equations For Collaborative Filtering cites this paper.
Graph Neural Controlled Differential Equations For Collaborative Filtering Continuous Graph Flow
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T15:33:05.928787Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 167d59f6-04b3-4a5b-b5cf-8506aa330225 · inbound
INDEQS: Informed Neural controlled Differential EQuationS cites this paper.
INDEQS: Informed Neural controlled Differential EQuationS Continuous Graph Flow
Reference 114
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T00:39:16.958618Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.