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Paper Citation Record · LEDGER

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

As of 8 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 2026-08-08T06:32:00.761636+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:d1baa6a304bb2ac92b17d5706ec2e28d16acb766aa4970f8e6118c4d7e7bde38

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=sha256:291c09c2476b5da214c7f8869d6fb2814df2622ee11539bddd2f3df2e92e1634

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=sha256:1a1706f4427b5bf629ca1b75c2120c33a2697fc2ae33a7a994fd8e799fab6f3b

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=sha256:07ffaa763ba55c9b695845cf8b12de1367e6b10f67c4462fd6fcff5dc1f13c2e

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-14T20:38:37.536767Z digest=sha256:c0541a9ae7c0767a60e7138c71eff653409113dc592fbb5705754d92712a8759

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-15T04:54:44.536836Z digest=sha256:8eebd0cc558bd87200ec67b9592c22b1f492241d211f70a143f834137775c6a2

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-20T13:30:39.413079Z digest=sha256:bca96bef3e05882333b4e4a14c4baf8b1edef429f26d982cfc8c8aeddfcbbe84

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-28T17:46:51.868821Z digest=sha256:c00830583d1d9475fd92559bfcf420715992bd4c9e815f2ca2c5562300280c78

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-28T11:58:18.626259Z digest=sha256:43dcbe0ab4255ef33572e95fe88e5227815fe6a629167a0ef70b588fc564a4ee

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-02T16:29:39.121390Z digest=sha256:b64da78fb8c4f6f1c7483c7d1664703d10492ef5f3cb7d0d79a738b964f27cae

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