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Paper Citation Record · LEDGER

Towards Comprehensive Post Safety Alignment of Large Language Models via Safety Patching

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2405.13820.

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

pith.paper-citation-record.v1
2405.13820 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T17:01:02.291998Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T10:58:13.556769Z

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 252988f8-2037-457f-9a97-5e4b78ee1084 · inbound

Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic cites this paper.

Task Vector Bases: A Unified and Scalable Framework for Compressed Task Arithmetic Towards Comprehensive Post Safety Alignment of Large Language Models via Safety Patching

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-09T17:01:02.291998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T17:01:02.291998Z digest=sha256:4268343f25b56acf2267c83ccd80b413443eb6bc938a6b899aae91e0fe0b8f22

Observation 89e7efa5-6d4d-4a42-a699-84da34e0affc · inbound

On Almost Surely Safe Alignment of Large Language Models at Inference-Time cites this paper.

On Almost Surely Safe Alignment of Large Language Models at Inference-Time Towards Comprehensive Post Safety Alignment of Large Language Models via Safety Patching

Reference 120

Resolution
unresolved
no resolver link, observed 2026-08-09T16:18:41.059515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T16:18:41.059515Z digest=sha256:be175fb28ae20e2ae79cf946f7b47ee24c1e37a177ea48aa73f496ad9079af2c

Observation 53efe874-0171-43da-9d23-0d106ff907c2 · inbound

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning cites this paper.

Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning Towards Comprehensive Post Safety Alignment of Large Language Models via Safety Patching

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T19:57:44.683011Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:57:44.683011Z digest=sha256:2fb8937e7171150fe2c0746bf30b14a9780dc83371c6853182734fd95e65e7a6

Observation 25db5d86-1de8-4851-9a9e-9b713197a2f0 · inbound

Safety Geometry Collapse in Multimodal LLMs and Adaptive Drift Correction cites this paper.

Safety Geometry Collapse in Multimodal LLMs and Adaptive Drift Correction Towards Comprehensive Post Safety Alignment of Large Language Models via Safety Patching

Reference 48

Resolution
verified exact
arxiv_id, observed 2026-05-20T10:58:13.558599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-20T10:57:40.997128Z digest=sha256:88bde906a6f93792285bdb71f1a1fc385c9c6b9a710707074d1124de6272701f