Paper Citation Record · LEDGER

To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2405.03097.

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

pith.paper-citation-record.v1
2405.03097 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:32:50.198585Z

measured 0 of 1 external citation measurements

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 5a96a088-4e9f-48c0-99f6-f6aa636fc572 · inbound

SEPS: A Separability Measure for Robust Unlearning in LLMs cites this paper.

SEPS: A Separability Measure for Robust Unlearning in LLMs To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T15:32:50.198585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1fb138a-1989-43de-9610-280c14f83e1c · inbound

DUSK: Do Not Unlearn Shared Knowledge cites this paper.

DUSK: Do Not Unlearn Shared Knowledge To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T15:26:20.858559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9536f05-ffa6-4c42-b79f-2ab5ff392a3c · inbound

Leveraging Per-Instance Privacy for Machine Unlearning cites this paper.

Leveraging Per-Instance Privacy for Machine Unlearning To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:48.640081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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