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Paper Citation Record · LEDGER

Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 49 inbound Pith citation observations for arXiv:2402.04997.

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

pith.paper-citation-record.v1
2402.04997 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 49 of 49 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:27:22.856128Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-03T03:57:38.588748Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7117753a-6f20-4efe-84c2-14596e7af90c · inbound

D-Flow: Multi-modality Flow Matching for D-peptide Design cites this paper.

D-Flow: Multi-modality Flow Matching for D-peptide Design Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 42

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verified exact
arxiv_id, observed 2026-05-23T17:43:17.721232Z

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.

source=pdf_text observed=2026-05-23T17:39:47.507856Z digest=sha256:cad1f21b0c03c89d0ab2cdf5a59739ee9874acab9564fcaa56e739a44c0e6784

Observation 7b27096f-3d1b-4d7f-a04a-39d8d9e3ff79 · inbound

Exploring Discrete Flow Matching for 3D De Novo Molecule Generation cites this paper.

Exploring Discrete Flow Matching for 3D De Novo Molecule Generation Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 29

Resolution
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no resolver link, observed 2026-08-12T12:56:55.163980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T12:56:55.163980Z digest=sha256:4aaa81c8c1bddf69336b4a053ef543837362758b60678b90ec91b7d3cd2408d2

Observation be90b556-da27-4b05-8335-85b9c81d6a16 · inbound

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension cites this paper.

Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 19

Resolution
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no resolver link, observed 2026-08-12T12:08:56.771236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T12:08:56.771236Z digest=sha256:37566f6f4304297e8f5d3096792ab4be47fd3ed2c6fc4d8f6008d40bf079bfc5

Observation 7f765b45-7622-4717-8859-ef400bb8c458 · inbound

Flow Matching Guide and Code cites this paper.

Flow Matching Guide and Code Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:28:14.127110Z

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.

source=arxiv_source observed=2026-05-12T10:28:14.014706Z digest=sha256:a6486e50940ce8f2921e5271f142a7e46bfe2a59b7f2d94365992f0b1b09095f

Observation 030912b2-97ef-4b1a-8afe-b47c236c8ec8 · inbound

GenPlan: Generative Sequence Models as Adaptive Planners cites this paper.

GenPlan: Generative Sequence Models as Adaptive Planners Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-11T17:51:01.125389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T17:51:01.125389Z digest=sha256:be5f4620aa382541b80f34a8d8e6453fe7cfcc338c46beaa00332226e5904686

Observation 81cfadad-d3bf-4f65-a84a-b83d032ea74d · inbound

Simple Guidance Mechanisms for Discrete Diffusion Models cites this paper.

Simple Guidance Mechanisms for Discrete Diffusion Models Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-11T16:23:51.685462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:23:51.685462Z digest=sha256:68dce5e1fafcf66060ee5d3a20e4114ad83cbf116bca6beca3e995faa6974cad

Observation 5c984d80-84dc-4bf3-ae29-ecdb826d1b71 · inbound

Stiefel Flow Matching for Moment-Constrained Structure Elucidation cites this paper.

Stiefel Flow Matching for Moment-Constrained Structure Elucidation Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T14:05:28.019083Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T14:05:28.019083Z digest=sha256:20387eff503d45f130b44bfca7110aff6897d30cb0d1616c3d5ac0bdd45061ff

Observation 14e88c52-99f8-4248-81d8-a8c9350b98ca · inbound

Graph Generative Pre-trained Transformer cites this paper.

Graph Generative Pre-trained Transformer Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-10T22:40:48.710470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:40:48.710470Z digest=sha256:8276b594258b74a334775504fd92356a70be5231402ae05f17d9bc40621abeab

Observation dd037e82-296e-4cb3-83a3-18e1c2115de3 · inbound

Large Language Models to Diffusion Finetuning cites this paper.

Large Language Models to Diffusion Finetuning Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T14:01:55.453730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:01:55.453730Z digest=sha256:3c56c9396aa1943ea535823baa56d97e21d9a5ed8e60b9873e77e20e724827ee

Observation d8b6aa66-dd2c-4c3b-bb21-6a9028de736d · inbound

Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation cites this paper.

Video Latent Flow Matching: Optimal Polynomial Projections for Video Interpolation and Extrapolation Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-09T18:51:12.361996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T18:51:12.361996Z digest=sha256:0fcfdbe5c0abbac8b2ea4509711d9e161a1c320f0e35f2ba1d59c02fe0cce383

Observation e5cf6c21-d1fa-4501-ae02-89ddb6d16f6b · inbound

Open Materials Generation with Stochastic Interpolants cites this paper.

Open Materials Generation with Stochastic Interpolants Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-09T11:48:43.613735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T11:48:43.613735Z digest=sha256:5928d424f4c19a0fa20f201e9e757dc77cadf1b9567fb10123cce44c8e11c3df

Observation 7ad25c19-5c27-4c48-b43f-2d712395d4a3 · inbound

Flow Matching for Collaborative Filtering cites this paper.

Flow Matching for Collaborative Filtering Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-08T13:15:15.096783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T13:15:15.096783Z digest=sha256:5de2c86dad707bd38c1a4fcefe5dd522058f79895381886bdc823a1b36423414

Observation 4677fa74-47e6-480c-9ced-b24ab22af66a · inbound

AffinityFlow: Guided Flows for Antibody Affinity Maturation cites this paper.

AffinityFlow: Guided Flows for Antibody Affinity Maturation Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T18:32:13.640890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T18:32:13.640890Z digest=sha256:aa953eb5bc704e2bc6efbe2fe80281f7cb1ec51aa1f9333329c2983420e352cb

Observation 72d5b25a-1dee-49db-a798-3b3281f5c8cd · inbound

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs cites this paper.

DDPS: Discrete Diffusion Posterior Sampling for Paths in Layered Graphs Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T05:27:22.856128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T05:27:22.856128Z digest=sha256:b175529a1aabbbee2b5ad340bfef6987d37629a69b231f3eff440891be433109

Observation 20982e59-2a01-424a-953b-8b9ffbe6afd3 · inbound

Flash Invariant Point Attention cites this paper.

Flash Invariant Point Attention Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-15T20:58:49.885727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:58:49.885727Z digest=sha256:21a9cf3fe1faaea969f561291ea5fd510fbb3c42e6fbd56ada4f26dfca919658

Observation 28880ff2-c42e-4644-a032-1e3f7b2a2099 · inbound

Applications of Modular Co-Design for De Novo 3D Molecule Generation cites this paper.

Applications of Modular Co-Design for De Novo 3D Molecule Generation Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T14:36:00.089280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:36:00.089280Z digest=sha256:62475100817f93b9b2f1788a8cda01694dd95a39d83916980845d6c1c4422351

Observation 6b10f83f-5f08-4358-ab5a-2f8dd2288444 · inbound

Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking cites this paper.

Accelerated Sampling from Masked Diffusion Models via Entropy Bounded Unmasking Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:38.676694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:38.676694Z digest=sha256:30a7d560748937e27bf5a2c1c97f807539fb08fe9832ca588799310cdcc6514e

Observation 4c0672b8-326a-4f1a-9ea5-f7783833e5d9 · inbound

Corrector Sampling in Language Models cites this paper.

Corrector Sampling in Language Models Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T06:05:45.695572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:05:45.695572Z digest=sha256:1b0700752e05dabc56553fb2eb316d3b96705aa909d63c81dac10b67282a2340

Observation 8b1e66f6-e2b3-49cc-b5e8-ed9ec359a7c1 · inbound

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows cites this paper.

Flexible Language Modeling in Continuous Space with Transformer-based Autoregressive Flows Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T21:24:19.262729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:24:19.262729Z digest=sha256:a788f0a0aea1e78f2b0dbebdeed011b3e5c09d252b87f4a96bf4f7196c4e30fd

Observation d62651ae-7fd8-4c77-a68b-ca5120ea9233 · inbound

TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality cites this paper.

TABASCO: A Fast, Simplified Model for Molecular Generation with Improved Physical Quality Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T21:12:00.129193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:12:00.129193Z digest=sha256:d02a7527e02d150a3b951a290a24c5ac691af09af1810f435bff383f8b538144

Observation 45b96b55-812b-4d05-8745-062a2b7f9c53 · inbound

MolFORM: Multi-modal Flow Matching for Structure-Based Drug Design cites this paper.

MolFORM: Multi-modal Flow Matching for Structure-Based Drug Design Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 2003

Resolution
unresolved
no resolver link, observed 2026-08-06T19:33:18.224551Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:33:18.224551Z digest=sha256:f859216b4e37cfb4cc5c588bbab57c99338d956d3e3152b227c1c5b568bc7127

Observation 394682e2-5823-489c-872d-80a4b406eafe · inbound

Latent-X: An Atom-level Frontier Model for De Novo Protein Binder Design cites this paper.

Latent-X: An Atom-level Frontier Model for De Novo Protein Binder Design Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-15T18:00:35.100668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:00:35.100668Z digest=sha256:1e6b78f7969f37bcb9cf2a402f102d9dadca820eaac4c65579a889c9a6310b21

Observation 06f11738-8d03-4d2c-a877-8a4ae1a7f755 · inbound

FlowMol3: Flow Matching for 3D De Novo Small-Molecule Generation cites this paper.

FlowMol3: Flow Matching for 3D De Novo Small-Molecule Generation Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-15T17:25:08.380652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T17:25:08.380652Z digest=sha256:f2a5dd3b08ea4664f32b1705ed4f2a6d323d5975f6e290a021e88ed959fed42d

Observation c0a9d63f-f83f-4a8f-8449-38f6ff769880 · inbound

Energy-Based Flow Matching for Generating 3D Molecular Structure cites this paper.

Energy-Based Flow Matching for Generating 3D Molecular Structure Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T16:11:16.880785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:11:16.880785Z digest=sha256:b1eebcaef0b0fc6091abd91cb80d993c03455daa714d27c3da87d273af0670c8

Observation f347261d-8b64-4f72-8a48-c3b6e096368b · inbound

Any-Order Flexible Length Masked Diffusion cites this paper.

Any-Order Flexible Length Masked Diffusion Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-05T13:20:05.346992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T13:20:05.346992Z digest=sha256:911489e5c7943f433779980597fd567297a8526babf5e680e0cfbb6bb0c94128

Observation c563c278-8a84-4d4e-a75e-b4a21c3631b8 · inbound

Fine-Tuning Masked Diffusion for Provable Self-Correction cites this paper.

Fine-Tuning Masked Diffusion for Provable Self-Correction Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-04T13:15:31.697653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T13:15:31.697653Z digest=sha256:5209682e207c8985fd9b289cc27318107b791627b66b9d7e0ab52bf945010fe4

Observation d9cba988-a5ae-46ed-a21b-6fb6fea4ad54 · inbound

FLOWR.root: A flow matching based foundation model for joint multi-purpose structure-aware 3D ligand generation and affinity prediction cites this paper.

FLOWR.root: A flow matching based foundation model for joint multi-purpose structure-aware 3D ligand generation and affinity prediction Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-04T12:42:48.949744Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T12:42:48.949744Z digest=sha256:0a448902014e967ac8cc1bcba71da754c72e84904af6f6e39ce3ffea0c31a3d3

Observation 2b8304db-04cf-43ed-8c6d-73622e3a9f2f · inbound

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner cites this paper.

Coevolutionary Continuous Discrete Diffusion: Make Your Diffusion Language Model a Latent Reasoner Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-18T10:16:14.128308Z

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.

source=pdf_text observed=2026-05-18T10:15:10.746336Z digest=sha256:83154d494d7d9fb76bbd39d39a065f1deb387a164b489720b6c14a26b21f2482

Observation 2f5b3b83-0e24-4bc5-845e-f8aafbd5c3be · inbound

HD-Prot: A Protein Language Model for Joint Sequence-Structure Modeling with Continuous Structure Tokens cites this paper.

HD-Prot: A Protein Language Model for Joint Sequence-Structure Modeling with Continuous Structure Tokens Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-03T16:07:37.305635Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:07:37.305635Z digest=sha256:493519ff9562d154f75d66e84cb6a30151f2f609ad22bd214cfbaf7bf429956d

Observation 88c3e22c-097e-4162-a752-d2f650fb7c1d · inbound

Protein Autoregressive Modeling via Multiscale Structure Generation cites this paper.

Protein Autoregressive Modeling via Multiscale Structure Generation Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-21T13:24:11.237799Z

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.

source=pdf_text observed=2026-05-21T13:21:53.668727Z digest=sha256:1de08e2e1437700194bc5e8e0c4aba3b5403dddf054c15e941743d42d87e25db

Observation 10ff35c6-2047-4372-a5ae-3b01eecba0a0 · inbound

Neuro-Symbolic ODE Discovery with Latent Grammar Flow cites this paper.

Neuro-Symbolic ODE Discovery with Latent Grammar Flow Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-10T08:48:02.538489Z

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.

source=pdf_text observed=2026-05-10T08:36:18.119381Z digest=sha256:25cdde8404ef94fc96f08ac41a77d8f2bb757c841a96a61a798330500c5bd557

Observation 6ba4834e-0b12-4608-84e4-34960b2068c0 · inbound

Neuro-Symbolic ODE Discovery with Latent Grammar Flow cites this paper.

Neuro-Symbolic ODE Discovery with Latent Grammar Flow Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 37

Resolution
unresolved
no resolver link, observed 2026-07-15T12:27:15.229823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-15T12:27:15.229823Z digest=sha256:8de6a31c5973c14a03bc4d770891034fb33fe8b61e264ec5d5886e50308ce25a

Observation 5d024f51-0af0-44e2-992f-56a821f331f8 · inbound

Interpolating Discrete Diffusion Models with Controllable Resampling cites this paper.

Interpolating Discrete Diffusion Models with Controllable Resampling Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:46:37.447727Z

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.

source=pdf_text observed=2026-05-10T06:42:27.567344Z digest=sha256:5dc6d0907cb0bbdcd56b66d506689c075f9e7360263a6e84a134476722b1dde2

Observation f8f6218f-d89a-44e1-b311-f834510ea966 · inbound

Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data cites this paper.

Language Diffusion Models are Associative Memories Capable of Retrieving Unseen Data Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-12T09:11:27.270816Z

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.

source=pdf_text observed=2026-05-07T12:22:43.354047Z digest=sha256:aefed79b6e19d1867005d53ad1130fcac48bec01f4f27718f769ee05811be368

Observation d2a0954d-e49c-436e-b060-d7f175b86a9b · inbound

Co-Generative De Novo Functional Protein Design cites this paper.

Co-Generative De Novo Functional Protein Design Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T16:41:18.778096Z

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.

source=arxiv_source observed=2026-05-09T15:18:49.411291Z digest=sha256:adc3ac227d0ec68aa93b615900d6ff97837b4244662e464e97d1488a12564fd3

Observation eff40f9c-8c12-4f73-a1da-20359a1da350 · inbound

A-CODE: Fully Atomic Protein Co-Design with Unified Multimodal Diffusion cites this paper.

A-CODE: Fully Atomic Protein Co-Design with Unified Multimodal Diffusion Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-12T10:46:31.925227Z

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.

source=pdf_text observed=2026-05-09T16:24:38.704047Z digest=sha256:0db816a88880619c84b0763fa7691fe4a5a00b3bf605926fc32e864d5092038f

Observation 48383859-217f-4aea-b2cf-45f544ad5a15 · inbound

Tree-Conditioned Edit Flows for Ancestral Sequence Reconstruction cites this paper.

Tree-Conditioned Edit Flows for Ancestral Sequence Reconstruction Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-09T06:50:40.362917Z

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.

source=pdf_text observed=2026-05-08T18:05:37.319737Z digest=sha256:bc1c572b4fd284fe54fdf00e4a65f5e82bddc41d9e0829fe6da3b25ef3bbc6b8

Observation d73f14b1-ae16-4f6a-ba39-55710903028a · inbound

Yeti: A compact protein structure tokenizer for reconstruction and multi-modal generation cites this paper.

Yeti: A compact protein structure tokenizer for reconstruction and multi-modal generation Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:46:31.507415Z

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.

source=pdf_text observed=2026-05-12T04:01:05.492969Z digest=sha256:e3eb82e47b7b31ce1146ed606b115aeb042907bfb0b276217555c92f4bc99232

Observation c7e4769d-2f89-4b9b-ab04-019ffc6b90e2 · inbound

Learning Unbiased Permutations via Flow Matching cites this paper.

Learning Unbiased Permutations via Flow Matching Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T21:57:48.517653Z

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.

source=arxiv_source observed=2026-05-19T21:54:03.142909Z digest=sha256:97da2a79f82575873d0d00137236198da9be23b6267184b79868203db8227412

Observation 1e62a9cb-cbf3-44b1-8f9c-41223bc38de8 · inbound

EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation cites this paper.

EvoStruct: Bridging Evolutionary and Structural Priors for Antibody CDR Design via Protein Language Model Adaptation Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 295

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T05:09:38.585324Z

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.

source=arxiv_source observed=2026-05-21T05:06:06.626303Z digest=sha256:5e0641cb5a45a9a2b22f63520f5b200bf81b9674e946b3d8743050bcbf9209a0

Observation b1a77b0a-c4e8-4f38-938b-8ae49612f5c1 · inbound

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning cites this paper.

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 295

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T09:31:22.613881Z

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.

source=arxiv_source observed=2026-05-22T09:29:45.993792Z digest=sha256:be12b11ca5b1a860ce23bf7e831e60c6cc48e179b7ba4581b6e65c3d2bab58e0

Observation 3c9a249b-7c70-42f7-be6e-22d7b34d034a · inbound

AgForce Enables Antigen-conditioned Generative Antibody Design cites this paper.

AgForce Enables Antigen-conditioned Generative Antibody Design Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 293

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T09:21:20.413596Z

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.

source=arxiv_source observed=2026-05-22T09:21:17.324165Z digest=sha256:2ce8e0aa97e23a98bb0c261376c7222ef40afa5847576ac1265685516d5d2e4f

Observation 21588aef-153e-4dbf-a83d-03f24ac4f0d2 · inbound

Uniform Diffusion Models Revisited: Leave-One-Out Denoiser and Absorbing State Reformulation cites this paper.

Uniform Diffusion Models Revisited: Leave-One-Out Denoiser and Absorbing State Reformulation Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-22T06:46:10.732939Z

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.

source=pdf_text observed=2026-05-22T06:44:57.195511Z digest=sha256:768532f1a92524a2b61f36ae511df7e3418b1a1e365397de3c1a72898865e12b

Observation b8f82ea7-989f-44e9-9cd3-f364cfec5808 · inbound

Generative Molecular Morphing for Flexible-Size Design via Unbalanced Optimal Transport cites this paper.

Generative Molecular Morphing for Flexible-Size Design via Unbalanced Optimal Transport Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 17

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:17:09.039158Z

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.

source=pdf_text observed=2026-06-27T22:52:42.933237Z digest=sha256:9bf3055a272df26814ff64ae6bfa7cf6e0d9fd1f9b1631e6d021838024d1292b

Observation c5413aad-89c8-4f62-b46e-16a6558eb498 · inbound

Hacking Generative Perplexity: Why Unconditional Text Evaluation Needs Distributional Metrics cites this paper.

Hacking Generative Perplexity: Why Unconditional Text Evaluation Needs Distributional Metrics Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-02T22:27:26.092248Z

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.

source=pdf_text observed=2026-06-27T18:53:01.285453Z digest=sha256:b31a3405a939a0661cfffd1ba363c4b268528b83960e213b35650b9a22407b96

Observation 69e9c05e-f767-481e-b631-6ce5c47db51c · inbound

Hacking Generative Perplexity: Why Unconditional Text Evaluation Needs Distributional Metrics cites this paper.

Hacking Generative Perplexity: Why Unconditional Text Evaluation Needs Distributional Metrics Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-04T04:51:23.422628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:51:23.422628Z digest=sha256:826384faaf0977fb2caaa8500280d5ad643aabd543f1811de6032d4ba72d0995

Observation da0f35a3-be61-4878-9610-6b34659f3da3 · inbound

Flexible Flows for Biological Sequence Design cites this paper.

Flexible Flows for Biological Sequence Design Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 47

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T03:57:38.590063Z

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.

source=arxiv_source observed=2026-06-27T14:21:51.854183Z digest=sha256:bd101e9047829f01c28057ea4f3ed6a8b353ec2d35232ad0c1ac2d54a0ac7fb1

Observation cc52e403-5a73-42b2-b2ff-9ac0c00f3066 · inbound

Design-CP: Context Parallelism for Design of Protein Nanoparticles cites this paper.

Design-CP: Context Parallelism for Design of Protein Nanoparticles Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 24

Resolution
unresolved
no resolver link, observed 2026-07-12T02:29:52.764344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T02:29:52.764344Z digest=sha256:3b737eb2446db0b55679c23715cd095e8385b6f9416c55678503fc6bb467c6f4

Observation e9010c9a-f20f-4908-89cb-1f0915b396c0 · inbound

Provable diffusion-based posterior sampling for linear inverse problems via DDIM cites this paper.

Provable diffusion-based posterior sampling for linear inverse problems via DDIM Generative Flows on Discrete State-Spaces: Enabling Multimodal Flows with Applications to Protein Co-Design

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-01T12:52:53.838001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:52:53.838001Z digest=sha256:db0aebdfb145bf3150153a55ec72298b93d4d0b6330eb1f77ec6a9e23e3ac698