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Paper Citation Record · LEDGER

DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2403.07902.

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

pith.paper-citation-record.v1
2403.07902 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:26:22.838722Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T16:37:09.109513Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e30c4c22-f37c-4710-982c-462b7e108550 · inbound

A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly cites this paper.

A Graph Completion Method that Jointly Predicts Geometry and Topology Enables Effective Molecule Assembly DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:26:22.838722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:26:22.838722Z digest=sha256:8c7d10976c5d5e7b1cacfa233a6d56cd1770039fce61e1d24497f5ab48e69f22

Observation 0f10a434-4214-4198-8b6e-8a92003b7a22 · inbound

Graph Neural Networks in Modern AI-aided Drug Discovery cites this paper.

Graph Neural Networks in Modern AI-aided Drug Discovery DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T05:50:58.731704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:50:58.731704Z digest=sha256:02ea164e69ad83a6f52e240c571d74e7a7b1c5e139963685b898099c3e5b060c

Observation 0bd25243-798c-40e9-91c5-99b8931c39bf · inbound

Reimagining Target-Aware Molecular Generation through Retrieval-Enhanced Aligned Diffusion cites this paper.

Reimagining Target-Aware Molecular Generation through Retrieval-Enhanced Aligned Diffusion DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:13.163082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:13.163082Z digest=sha256:077aab22856799f1ea388dd7482465efa4caca4f1344f8165d54c3983cedac3d

Observation 4ba58172-0beb-4780-9432-6279c85f3378 · inbound

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

MolFORM: Multi-modal Flow Matching for Structure-Based Drug Design DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T19:33:18.237473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:33:18.237473Z digest=sha256:c69b7eab11b02abe720b289b36c1679c36b275000ec4b20e42eb47e63e956b5e

Observation 9b37df73-aac5-4e3e-8422-29148795ec5e · inbound

MODA: A Unified 3D Diffusion Framework for Multi-Task Target-Aware Molecular Generation cites this paper.

MODA: A Unified 3D Diffusion Framework for Multi-Task Target-Aware Molecular Generation DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T18:52:30.709102Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:52:30.709102Z digest=sha256:8cefead463434417face0f36f3312cfeefc4bb1de1ebefc59c2f426d3724f659

Observation db1726e4-448f-4fe1-98e1-cc158edfe2d0 · inbound

MolPIF: A Parameter Interpolation Flow Model for Molecule Generation cites this paper.

MolPIF: A Parameter Interpolation Flow Model for Molecule Generation DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:20.841529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:20.841529Z digest=sha256:42c219b1099bb48d1492158142c7a3b9b7b06199d650dee90ebab5a5646c70af

Observation 6a71adc2-eeec-49a2-963c-67ae1c2d15b8 · inbound

IBEX: Information-Bottleneck-EXplored Coarse-to-Fine Molecular Generation under Limited Data cites this paper.

IBEX: Information-Bottleneck-EXplored Coarse-to-Fine Molecular Generation under Limited Data DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T20:20:39.001515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T20:20:39.001515Z digest=sha256:69da1a9ff5e7ef216e946694862bddc6f1457ebd0cc5f7aab69204a582b7b113

Observation 9feb90b4-d6d5-4e3b-bcb0-1fcb0e07f3b5 · inbound

Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration cites this paper.

Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T14:25:28.012501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:25:28.012501Z digest=sha256:05a46c33dda75f42ea5adb764a04fa6d8b8f3b12e59773d6a75650d365087703

Observation daacf84b-c3eb-4639-8def-51561a770c9d · inbound

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery cites this paper.

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:39:26.345223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-14T20:38:37.536767Z digest=sha256:76366db09d2186332f1755e744f1fb9a9704e5478ae53f9fbe39ebcd227d63fa

Observation 54bb9f96-6dbb-44c3-a3ca-d5407c333c03 · inbound

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery cites this paper.

ToolMol: Evolutionary Agentic Framework for Multi-objective Drug Discovery DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-15T04:55:03.149956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-15T04:54:44.536836Z digest=sha256:0d81dc2784d66d4bbbd5de933166ea95f77835957295f494e48f285bf1be0362

Observation 650412cc-2dfe-4398-af2e-4d14cc574da4 · inbound

Fine-tuning Pocket-Aware Diffusion Models via Denoising Policy Optimization cites this paper.

Fine-tuning Pocket-Aware Diffusion Models via Denoising Policy Optimization DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-20T13:33:19.191931Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T13:30:39.413079Z digest=sha256:6474cfb7f6fffdfad4e5adc7c0f8cb7a6a54a80e137bee4ef608a4ff793682ce

Observation 0d184ba3-867f-487e-bbe4-bb64f47cd92b · inbound

Fine-Tuning Diffusion Models for Molecular Generation via Reinforcement Learning and Fast Sampling cites this paper.

Fine-Tuning Diffusion Models for Molecular Generation via Reinforcement Learning and Fast Sampling DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:46:13.645918Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-28T17:46:51.868821Z digest=sha256:37bf9b5fad1956d056731e35cc89a7a1dce42310bb32d7272739854c695807b0

Observation aac270e6-ba02-41db-bf5b-9e1c101909f0 · inbound

Demystifying Multimodal Biomolecular Co-design With Intrinsic Geodesic Coupling cites this paper.

Demystifying Multimodal Biomolecular Co-design With Intrinsic Geodesic Coupling DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T01:26:24.941006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-28T11:58:18.626259Z digest=sha256:c809f2dc21b3148ed6505f1845280b419d83cb0c89586f4377e66e7d305a9f1f

Observation eb5a3b01-8f56-458a-952e-17a4ea0f6069 · inbound

MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated Molecules cites this paper.

MolSafeEval: A Benchmark for Uncovering Safety Risks in AI-Generated Molecules DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:37:09.111062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-02T16:29:39.121390Z digest=sha256:87ef293c83fed88161d593e4eaa23b89d585528503ebe11085b3bbb1c3ad840f

Observation eeb8d87d-c447-499f-a65b-8d603a473948 · 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 DecompDiff: Diffusion Models with Decomposed Priors for Structure-Based Drug Design

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-01T12:52:53.134338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T12:52:53.134338Z digest=sha256:9141a6e92c6d39b7447c9d48c755eec0672e6d9023937610f2ab835d822218e4