Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2405.03097.
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 2026-08-06T06:34:29.942622+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T11:42:04.273571Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T22:36:16.638261Z
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 2a3e9d3b-8608-4572-84a0-3fa052071026 · inbound
Revisiting the Past: Data Unlearning with Model State History cites this paper.
Revisiting the Past: Data Unlearning with Model State History To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
Reference 2
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T08:13:01.661830Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation c8b7f019-1f94-4bd4-8427-1eea7130aae6 · inbound
LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning cites this paper.
LoReUn: Data Itself Implicitly Provides Cues to Improve Machine Unlearning To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T11:42:04.273571Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7d2df039-75f8-48f8-9020-21413d16fed7 · inbound
Is your algorithm unlearning or untraining? cites this paper.
Is your algorithm unlearning or untraining? To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
Reference 3
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T05:30:59.187102Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 978d1c27-de26-46c6-891d-b4a60997c2a2 · inbound
From Anchors to Supervision: Memory-Graph Guided Corpus-Free Unlearning for Large Language Models cites this paper.
From Anchors to Supervision: Memory-Graph Guided Corpus-Free Unlearning for Large Language Models To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
Reference 2
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T14:15:28.915662Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.
Observation 4bc62c46-6612-4655-a7f2-d6e11f980404 · inbound
Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior cites this paper.
Initialization is Half the Battle: Generating Diverse Images from a Guidance Potential Posterior To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models
Reference 9
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T22:36:16.640373Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.