Pith. sign in

Paper Citation Record · LEDGER

Making Harmful Behaviors Unlearnable for Large Language Models

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.02105.

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

pith.paper-citation-record.v1
2311.02105 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T16:29:57.054117Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T05:29:21.208187Z

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 40b28053-a5d3-43f7-afae-cc10bafb3540 · inbound

Large Action Models: From Inception to Implementation cites this paper.

Large Action Models: From Inception to Implementation Making Harmful Behaviors Unlearnable for Large Language Models

Reference 96

Resolution
unresolved
no resolver link, observed 2026-08-11T16:29:57.054117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T16:29:57.054117Z digest=sha256:acf086c5f1579335c2b281d085adde11a9faccbc0f9642f87b5761975f5132eb

Observation 6543750c-93fc-426d-b19d-c36ead801591 · inbound

Investigating the Feasibility of Mitigating Potential Copyright Infringement via Large Language Model Unlearning cites this paper.

Investigating the Feasibility of Mitigating Potential Copyright Infringement via Large Language Model Unlearning Making Harmful Behaviors Unlearnable for Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-11T14:16:49.719101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T14:16:49.719101Z digest=sha256:ecb7b7455bfa77ee6496726237b2aa1aa9496eea164f0f9517bf2c0ec7cdfe13

Observation 2969d801-7665-4004-8a29-9b493e08af72 · inbound

A comprehensive taxonomy of hallucinations in Large Language Models cites this paper.

A comprehensive taxonomy of hallucinations in Large Language Models Making Harmful Behaviors Unlearnable for Large Language Models

Reference 107

Resolution
verified exact
local_arxiv, observed 2026-08-06T05:29:21.252358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-06T05:29:20.899259Z digest=sha256:f674d4d851e11e3fe83e9ae335f78d3ce5ff6022fbe9eff3fdd5f746357bbc44