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Paper Citation Record · LEDGER

Not All Data Are Unlearned Equally

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2504.05058.

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

pith.paper-citation-record.v1
2504.05058 v6

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 2026-08-19T06:32:44.657259+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:17:56.852922Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0713ad76-1d19-44c5-a314-6537dd5e7187 · inbound

SoK: Machine Unlearning for Large Language Models cites this paper.

SoK: Machine Unlearning for Large Language Models Not All Data Are Unlearned Equally

Reference 116

Resolution
unresolved
no resolver link, observed 2026-08-07T04:58:59.674813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:58:59.674813Z digest=sha256:2056e8adf14433a67cedf576ae8304ee4cb42410514cba7d9425f8c74722a00e

Observation d3305d76-5720-4452-aff9-fcfa8cc0ef18 · inbound

Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs cites this paper.

Model Collapse Is Not a Bug but a Feature in Machine Unlearning for LLMs Not All Data Are Unlearned Equally

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T19:59:52.158041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:59:52.158041Z digest=sha256:e3e33aeed953b38abfe8de7cd308a37f49d41096d09065fd27c849b129ed24a4

Observation ad4847ca-10f5-4320-8eed-e2acc5183083 · inbound

Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding cites this paper.

Leak@$k$: Unlearning Does Not Make LLMs Forget Under Probabilistic Decoding Not All Data Are Unlearned Equally

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-03T23:39:06.362279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T23:39:06.362279Z digest=sha256:f4f7f8be948514e321a711cecc2fd6d5e5e4793fef4c625408c2318cdc7e0812

Observation 758b86ae-2f44-4022-a50d-dd4620208e11 · inbound

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data cites this paper.

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data Not All Data Are Unlearned Equally

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:21.635186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-13T05:56:38.042978Z digest=sha256:70c1247886cdd41bbbf80204fac105ebbfe11a31a9456821cb9538ec3d997771

Observation a360483d-1421-41ca-8b8d-667909c9e962 · inbound

Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning cites this paper.

Distinguishable Deletion: Unifying Knowledge Erasure and Refusal for Large Language Model Unlearning Not All Data Are Unlearned Equally

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-19T21:52:48.337827Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-19T21:49:07.440832Z digest=sha256:ff75151ba9b1bb32795532ed6b8434fefd7f3ca919c6d23c630b931b30006b02

Observation a6a10261-22bb-4f42-b869-07455cce95d3 · inbound

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning cites this paper.

Measure, Don't Optimize: Forecasting Recovery in LLM Unlearning Not All Data Are Unlearned Equally

Reference 93

Resolution
unresolved
no resolver link, observed 2026-08-15T14:17:56.852922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:17:56.852922Z digest=sha256:1c5cc4e88b6cefa321d80f45683db18a276b082c5e9eda0c924ff0efce47a00d