Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models
As of 4 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.12545.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T05:20:43.523689Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-12T08:01:27.906354Z
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 f4e5d2f0-df87-42eb-bfb5-900b95789f11 · inbound
ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models cites this paper.
ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models
Reference 16
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T19:51:11.017253Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 86ef9517-004c-4ac5-b484-7a7e6b72231c · inbound
ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models cites this paper.
ICU-Bench:Benchmarking Continual Unlearning in Multimodal Large Language Models PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T05:20:43.523689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2d04a534-5db1-458e-8dc6-bce5c41bfd05 · inbound
PPU-Bench:Real World Benchmark for Personalized Partial Unlearning in Vision Language Models cites this paper.
PPU-Bench:Real World Benchmark for Personalized Partial Unlearning in Vision Language Models PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:01:27.912915Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.
Observation 50ecdac1-2b07-4d0a-860f-73ae7d304cd9 · inbound
PPE-Bench: A Benchmark for Evaluating MLLM Unlearning under Private-Public Entanglement cites this paper.
PPE-Bench: A Benchmark for Evaluating MLLM Unlearning under Private-Public Entanglement PEBench: A Fictitious Dataset to Benchmark Machine Unlearning for Multimodal Large Language Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T06:18:42.939955Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.