Paper Citation Record · LEDGER

Pharmacophore-guided de novo drug design with diffusion bridge

As of 13 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 0 inbound Pith citation observations for arXiv:2412.19812.

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

pith.paper-citation-record.v1
2412.19812 v2

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T18:44:52.176956Z

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+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

26 of 26 outbound references displayed

verified exact3
verified fuzzy6
unresolved17
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 62ed077d-b7c2-4daa-ad7a-c69ffc43dac7 · outbound

This paper cites SE (3)-equivariant Network As illustrated in Eq.

Pharmacophore-guided de novo drug design with diffusion bridge SE (3)-equivariant Network As illustrated in Eq

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:44:52.437581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0bad9481-8a71-4a77-abb2-aa64c99b8ede · outbound

This paper cites MolGAN: An implicit generative model for small molecular graphs.

Pharmacophore-guided de novo drug design with diffusion bridge MolGAN: An implicit generative model for small molecular graphs

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.080625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c849b3c-12db-40d8-9d12-bc7a17f557e4 · outbound

This paper cites To meet T (3)-invariance, we calculate the center of mass of the system (g, Γ) and move the center to zero.

Pharmacophore-guided de novo drug design with diffusion bridge To meet T (3)-invariance, we calculate the center of mass of the system (g, Γ) and move the center to zero

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:44:52.463883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation c253f939-5550-494a-b9f1-888083f604b3 · outbound

This paper cites Auto-Encoding Variational Bayes.

Pharmacophore-guided de novo drug design with diffusion bridge Auto-Encoding Variational Bayes

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.093613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e45789da-f17d-4ddf-bced-cf5f24bd428d · outbound

This paper cites dij = ∥xi −xj∥ is the euclidean distance between nodei and j, and rij = xl i −xl j is the vector difference between node i and j.

Pharmacophore-guided de novo drug design with diffusion bridge dij = ∥xi −xj∥ is the euclidean distance between nodei and j, and rij = xl i −xl j is the vector difference between node i and j

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:44:52.423325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 0f71174f-cddb-4849-8bad-c8fe8518d2ef · outbound

This paper cites Bridging Geometric States via Geometric Diffusion Bridge.

Pharmacophore-guided de novo drug design with diffusion bridge Bridging Geometric States via Geometric Diffusion Bridge

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:44:52.342452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 71d432b6-5a16-49c4-9146-ac5fb44e1178 · outbound

This paper cites Learning to Extend Molecular Scaffolds with Structural Motifs.

Pharmacophore-guided de novo drug design with diffusion bridge Learning to Extend Molecular Scaffolds with Structural Motifs

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:44:52.326945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 32fb422b-a2a6-416d-868b-4bf50ade2d21 · outbound

This paper cites Non-Denoising Forward-Time Diffusions.

Pharmacophore-guided de novo drug design with diffusion bridge Non-Denoising Forward-Time Diffusions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.109850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c95356ac-e992-4d77-ad20-2a66e3cb1ddd · outbound

This paper cites Structure-based Drug Design with Equivariant Diffusion Models.

Pharmacophore-guided de novo drug design with diffusion bridge Structure-based Drug Design with Equivariant Diffusion Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.113989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a080957-c83a-4679-8c93-3abf666bc790 · outbound

This paper cites PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling.

Pharmacophore-guided de novo drug design with diffusion bridge PharmacoNet: Accelerating Large-Scale Virtual Screening by Deep Pharmacophore Modeling

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-11T18:44:52.287822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation e17cc8ac-154f-4ad5-a142-7e5f6d0844b9 · outbound

This paper cites and Komodakis, N.

Pharmacophore-guided de novo drug design with diffusion bridge and Komodakis, N

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.125655Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34c06e0d-9b55-4925-89c5-ea769d4dc9f6 · outbound

This paper cites Dual Diffusion Implicit Bridges for Image-to-Image Translation.

Pharmacophore-guided de novo drug design with diffusion bridge Dual Diffusion Implicit Bridges for Image-to-Image Translation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.138253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d91cfa0d-f930-4bac-a245-4d90a5a74374 · outbound

This paper cites DiGress: Discrete Denoising diffusion for graph generation.

Pharmacophore-guided de novo drug design with diffusion bridge DiGress: Discrete Denoising diffusion for graph generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.142348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c48da61e-4a15-4f88-ad24-1cb190e2a777 · outbound

This paper cites GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation.

Pharmacophore-guided de novo drug design with diffusion bridge GeoDiff: a Geometric Diffusion Model for Molecular Conformation Generation

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.150560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 74197f76-e6c6-4548-98dd-92cfeb9dc494 · outbound

This paper cites Denoising Diffusion Bridge Models.

Pharmacophore-guided de novo drug design with diffusion bridge Denoising Diffusion Bridge Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.153947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47412169-591a-49e2-8eea-cd548453353d · outbound

This paper cites Proofs A.1.

Pharmacophore-guided de novo drug design with diffusion bridge Proofs A.1

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:44:52.490350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 89ca6871-6777-4c53-8bd9-698b4d286d73 · outbound

This paper cites Starting from here, we provide the proof of Theorem 3.1.

Pharmacophore-guided de novo drug design with diffusion bridge Starting from here, we provide the proof of Theorem 3.1

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:44:52.477652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 1d0d9141-bb6c-4fd2-a462-c546b8b7a391 · outbound

This paper cites an unresolved cited work.

Pharmacophore-guided de novo drug design with diffusion bridge Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-11T18:44:52.450312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation eed095a2-3efb-4fd0-a956-c44ba8153964 · outbound

This paper cites J., McKee, M., and Luyten, J.

Pharmacophore-guided de novo drug design with diffusion bridge J., McKee, M., and Luyten, J

Reference 1988

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T18:44:52.503001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

Observation 4094225e-1764-42ca-9a2e-36cb9ebd74ec · outbound

This paper cites R., Pariset, M., Hsieh, Y .-P., Martinez, M.

Pharmacophore-guided de novo drug design with diffusion bridge R., Pariset, M., Hsieh, Y .-P., Martinez, M

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.129452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ecbf607-1626-4d0d-b29a-81ec78452372 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Pharmacophore-guided de novo drug design with diffusion bridge Score-Based Generative Modeling through Stochastic Differential Equations

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.133755Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b62f90fd-a4b6-48e7-bac6-ac3ea1027cdf · outbound

This paper cites 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction.

Pharmacophore-guided de novo drug design with diffusion bridge 3D Equivariant Diffusion for Target-Aware Molecule Generation and Affinity Prediction

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.085402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c824cd2-fb97-406c-89fe-d93956ac98b6 · outbound

This paper cites Likelihood Training of Schr\"odinger Bridge using Forward-Backward SDEs Theory.

Pharmacophore-guided de novo drug design with diffusion bridge Likelihood Training of Schr\"odinger Bridge using Forward-Backward SDEs Theory

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.075527Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f0fc3746-dfa5-4ca6-a127-97f7da9f1d3f · outbound

This paper cites Graph Generation with Diffusion Mixture.

Pharmacophore-guided de novo drug design with diffusion bridge Graph Generation with Diffusion Mixture

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.090111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f410be16-7ff6-4453-9373-544c09d7c141 · outbound

This paper cites GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation.

Pharmacophore-guided de novo drug design with diffusion bridge GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.121579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cff6e53a-092d-4971-9e6b-0537576b2b16 · outbound

This paper cites Let us Build Bridges: Understanding and Extending Diffusion Generative Models.

Pharmacophore-guided de novo drug design with diffusion bridge Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-11T18:44:52.097170Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.