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Paper Citation Record · LEDGER

Evaluating Defences against Unsafe Feedback in RLHF

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.12914.

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

pith.paper-citation-record.v1
2409.12914 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:02:33.988579Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:58:26.222539Z

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 8e82f57e-685b-468d-bd22-cd7cc9d8a3d8 · inbound

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey cites this paper.

Harmful Fine-tuning Attacks and Defenses for Large Language Models: A Survey Evaluating Defences against Unsafe Feedback in RLHF

Reference 127

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:58:26.224787Z

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.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:f55fb984f6a62616cfa79ed8bf46eb94795d3ee0deea541a55155efb4e08957c

Observation e78ab843-a81a-4a19-b7b2-a8e195c0841d · inbound

CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning cites this paper.

CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning Evaluating Defences against Unsafe Feedback in RLHF

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T15:02:33.988579Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:02:33.988579Z digest=sha256:55bee04c5662830354ed868c1475243649efc3868382415664202c114252358f