Paper Citation Record · LEDGER

ADBM: Adversarial diffusion bridge model for reliable adversarial purification

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2408.00315.

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

pith.paper-citation-record.v1
2408.00315 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:57:26.377742Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T04:42:33.910308Z

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 dd726b66-94be-46d3-a7ba-b5030f7307a6 · inbound

DeMem: Privacy-Enhanced Robust Adversarial Learning via De-Memorization cites this paper.

DeMem: Privacy-Enhanced Robust Adversarial Learning via De-Memorization ADBM: Adversarial diffusion bridge model for reliable adversarial purification

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T20:28:27.295060Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2853f39e-a7c6-4839-99a7-7a25542ef225 · inbound

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety ADBM: Adversarial diffusion bridge model for reliable adversarial purification

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:42:33.913047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 52915a86-0646-4dca-b3e0-72f3ace90e65 · inbound

Improving Data Fidelity via Diffusion Model-based Correction and Super-Resolution cites this paper.

Improving Data Fidelity via Diffusion Model-based Correction and Super-Resolution ADBM: Adversarial diffusion bridge model for reliable adversarial purification

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-15T21:57:26.377742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4645e4ef-f512-42be-b92c-86b17fb28d85 · inbound

Breaking the Illusion: Consensus-Based Generative Mitigation of Adversarial Illusions in Multi-Modal Embeddings cites this paper.

Breaking the Illusion: Consensus-Based Generative Mitigation of Adversarial Illusions in Multi-Modal Embeddings ADBM: Adversarial diffusion bridge model for reliable adversarial purification

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-17T04:19:00.692229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation f925ea6c-1c8c-497f-bc58-a3e3c3e0fac9 · inbound

Visual Inception: Compromising Long-term Planning in Agentic Recommenders via Multimodal Memory Poisoning cites this paper.

Visual Inception: Compromising Long-term Planning in Agentic Recommenders via Multimodal Memory Poisoning ADBM: Adversarial diffusion bridge model for reliable adversarial purification

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:31:30.400510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

Observation 3e4b8f61-be6d-410d-a810-134d03d94305 · inbound

Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations cites this paper.

Memory Efficient Full-gradient Attacks (MEFA) Framework for Adversarial Defense Evaluations ADBM: Adversarial diffusion bridge model for reliable adversarial purification

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:01:18.571019Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.