Paper Citation Record · LEDGER

Improving Antibody Design with Force-Guided Sampling in Diffusion Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2406.05832.

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

pith.paper-citation-record.v1
2406.05832 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T18:32:14.477785Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:16:53.872432Z

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 d5e979fd-f291-4bdd-969b-f6b9f85c7ad6 · inbound

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

AffinityFlow: Guided Flows for Antibody Affinity Maturation Improving Antibody Design with Force-Guided Sampling in Diffusion Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T18:32:14.477785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42537ca8-f06c-4359-994a-c0a257a90dbb · inbound

Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling cites this paper.

Designing Cyclic Peptides via Harmonic SDE with Atom-Bond Modeling Improving Antibody Design with Force-Guided Sampling in Diffusion Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T13:35:59.226923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1583887d-dabe-41b4-b2e3-f778419b7f12 · inbound

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding cites this paper.

Antibody Design and Optimization with Multi-scale Equivariant Graph Diffusion Models for Accurate Complex Antigen Binding Improving Antibody Design with Force-Guided Sampling in Diffusion Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T22:41:04.940760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7613ab03-9a4e-47fa-b31c-b1cc1dda00f5 · 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 Improving Antibody Design with Force-Guided Sampling in Diffusion Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T21:12:00.158499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f280bc90-fcbb-48de-9740-58ee883e60d3 · inbound

ReachVox: Clutter-free Reachability Visualization for Robot Motion Planning in Virtual Reality cites this paper.

ReachVox: Clutter-free Reachability Visualization for Robot Motion Planning in Virtual Reality Improving Antibody Design with Force-Guided Sampling in Diffusion Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T19:59:00.649604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12255f2e-e892-4ef4-9629-e7e96126ab6a · 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 Improving Antibody Design with Force-Guided Sampling in Diffusion Models

Reference 261

Resolution: verified exact; arxiv_id, observed 2026-05-21T05:09:38.636046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 47787c51-ad1b-4139-865f-65c91ba91648 · inbound

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

ConTact: Contact-First Antibody CDR Design via Explicit Interface Reasoning Improving Antibody Design with Force-Guided Sampling in Diffusion Models

Reference 261

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:31:22.588129Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 093c7376-8cd4-4bbe-90ea-35fae6591bcc · inbound

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

AgForce Enables Antigen-conditioned Generative Antibody Design Improving Antibody Design with Force-Guided Sampling in Diffusion Models

Reference 259

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:21:20.430469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e1b79e5f-47d1-423c-9a07-b8b647a17027 · inbound

EpiFormer: Learning Antigen-Antibody Interactions for Epitope Prediction via Geometric Deep Learning cites this paper.

EpiFormer: Learning Antigen-Antibody Interactions for Epitope Prediction via Geometric Deep Learning Improving Antibody Design with Force-Guided Sampling in Diffusion Models

Reference 225

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:06:44.011260Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 7dbaf448-22a2-40d8-a8c6-e836ee2dcaba · inbound

DeltaDiff: Training-Free, Physics-Guided Machine Learning for Predicting Mutant Protein Structures cites this paper.

DeltaDiff: Training-Free, Physics-Guided Machine Learning for Predicting Mutant Protein Structures Improving Antibody Design with Force-Guided Sampling in Diffusion Models

Reference 157

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:16:53.874004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.