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Paper Citation Record · LEDGER

A safety realignment framework via subspace-oriented model fusion for large language models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2405.09055.

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

pith.paper-citation-record.v1
2405.09055 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T10:19:26.646902Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T20:58:25.871744Z

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 17ea7986-d921-4a18-9912-0d531f526f35 · inbound

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities cites this paper.

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities A safety realignment framework via subspace-oriented model fusion for large language models

Reference 278

Resolution
verified exact
arxiv_id, observed 2026-05-17T22:16:04.855764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-17T22:16:04.386706Z digest=sha256:f9cb6872d078e4bbf3c54e04f80423e6597499cbee211a52e1446648ebbbd222

Observation 37a67c7d-1d52-4cb2-968b-f1f04594fcad · 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 A safety realignment framework via subspace-oriented model fusion for large language models

Reference 172

Resolution
verified exact
arxiv_id, observed 2026-05-23T20:58:25.875489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T20:58:16.237327Z digest=sha256:ecd6ab5a0b5090857b4f63396f96401b86f84ddc9211b661c27b105ce85fa119

Observation 8d31e729-d484-4dfe-a94e-9c5f6125e188 · inbound

PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning cites this paper.

PEFT-as-an-Attack! Jailbreaking Language Models during Federated Parameter-Efficient Fine-Tuning A safety realignment framework via subspace-oriented model fusion for large language models

Reference 79

Resolution
unresolved
no resolver link, observed 2026-08-12T10:19:26.646902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T10:19:26.646902Z digest=sha256:5ba895c62ca6b895fa92b3a710a60c88aabd8d1392b1bc79f015a5efc995bda7

Observation c61957f5-b7b2-4892-8fa7-5497a369b7eb · inbound

Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models cites this paper.

Separate the Wheat from the Chaff: A Post-Hoc Approach to Safety Re-Alignment for Fine-Tuned Language Models A safety realignment framework via subspace-oriented model fusion for large language models

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-11T15:26:52.633567Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T15:26:52.633567Z digest=sha256:5128b37b76332359185fbd35c9b459b4a9812733962d99ae6ba8904d2589e5a0

Observation 12882652-4d8a-49cf-8534-c6f29466875e · inbound

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging cites this paper.

Safeguard Fine-Tuned LLMs Through Pre- and Post-Tuning Model Merging A safety realignment framework via subspace-oriented model fusion for large language models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-11T00:18:57.331014Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T00:18:57.331014Z digest=sha256:99ae37a4bbe5679e3effeca2629de5206a0937a49acd51015cce1fc9c5d9d63a

Observation 11ad00ef-d276-4f55-adff-6dc86d062783 · inbound

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors cites this paper.

BADTV: Unveiling Backdoor Threats in Third-Party Task Vectors A safety realignment framework via subspace-oriented model fusion for large language models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-10T22:18:55.587515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:18:55.587515Z digest=sha256:c5dcb7ffa783e65d07442391c5f20b89875a7d32f23fa4c329c0e36f0ff3499b

Observation 45c364a1-729f-4510-b2a7-be6b319d308b · inbound

Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging cites this paper.

Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging A safety realignment framework via subspace-oriented model fusion for large language models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-10T20:03:11.247490Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:03:11.247490Z digest=sha256:efc5afe44bfcbae5f33888d9a08e17b9cb2b933f6fd6289626ecd96446570a89

Observation 18e6a65f-3ff8-458c-a9f6-fd034c45081d · inbound

The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Analysis of Orthogonal Safety Directions cites this paper.

The Hidden Dimensions of LLM Alignment: A Multi-Dimensional Analysis of Orthogonal Safety Directions A safety realignment framework via subspace-oriented model fusion for large language models

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-07T23:08:02.396873Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T23:08:02.396873Z digest=sha256:b66dff6a8379b1c459c0f2a4fed4d9d859dd3dc161aecfe39c76cf180146eff8

Observation 34a5e47a-548e-4a19-b784-3991868611b4 · inbound

Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning cites this paper.

Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning A safety realignment framework via subspace-oriented model fusion for large language models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T10:58:32.433283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:58:32.433283Z digest=sha256:2bf5746e8ac3f4bb5d275b5ea18391c3e791895f1e55300417d14c1c7fb91d44