Paper Citation Record · LEDGER

Fine-tuning can cripple your foundation model; preserving features may be the solution

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2308.13320.

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

pith.paper-citation-record.v1
2308.13320 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:34:20.408299Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:59:26.798326Z

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 4c8770b4-d426-433f-8ebc-8b3398e6d07a · 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 Fine-tuning can cripple your foundation model; preserving features may be the solution

Reference 109

Resolution: verified exact; arxiv_id, observed 2026-05-23T20:58:26.125062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation a1df0cd1-c214-4487-af0c-d6c7938f28ec · inbound

CAD-Coder: An Open-Source Vision-Language Model for Computer-Aided Design Code Generation cites this paper.

CAD-Coder: An Open-Source Vision-Language Model for Computer-Aided Design Code Generation Fine-tuning can cripple your foundation model; preserving features may be the solution

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T15:34:20.408299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8aca17d5-d9ff-4695-9543-791e580d92ad · inbound

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

Vulnerability-Aware Alignment: Mitigating Uneven Forgetting in Harmful Fine-Tuning Fine-tuning can cripple your foundation model; preserving features may be the solution

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T10:58:31.154739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afb867a2-d26e-4ee4-8d4d-ac1ef89dffa0 · inbound

AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin cites this paper.

AsFT: Anchoring Safety During LLM Fine-Tuning Within Narrow Safety Basin Fine-tuning can cripple your foundation model; preserving features may be the solution

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T05:14:35.288105Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ef1edc8-d825-473e-9a00-c70a715886c3 · inbound

LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning cites this paper.

LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning Fine-tuning can cripple your foundation model; preserving features may be the solution

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:59:56.539321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6643a548-3aff-4ea8-8d72-322b475b8108 · inbound

Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation cites this paper.

Seeing Clearly, Forgetting Deeply: Revisiting Fine-Tuned Video Generators for Driving Simulation Fine-tuning can cripple your foundation model; preserving features may be the solution

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T17:19:15.784175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcfab3fe-f13a-425b-a69d-912329bea4b7 · inbound

Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints cites this paper.

Preventing Safety Drift in Large Language Models via Coupled Weight and Activation Constraints Fine-tuning can cripple your foundation model; preserving features may be the solution

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T09:21:01.711659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation c7652e48-f317-4cd1-bac4-2beab2f9844d · inbound

Sparse Autoencoders enable Robust and Interpretable Fine-tuning of CLIP models cites this paper.

Sparse Autoencoders enable Robust and Interpretable Fine-tuning of CLIP models Fine-tuning can cripple your foundation model; preserving features may be the solution

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-20T18:38:52.828874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e89bc051-752f-480a-aed5-f45b9d56cdaf · inbound

The Piggyback Hypothesis of Generalization: Explaining and Mitigating Emergent Misalignment cites this paper.

The Piggyback Hypothesis of Generalization: Explaining and Mitigating Emergent Misalignment Fine-tuning can cripple your foundation model; preserving features may be the solution

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T13:06:59.185687Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d6705b7c-0f3e-4e40-907e-0d549d36356e · inbound

The Piggyback Hypothesis of Generalization: Explaining and Mitigating Emergent Misalignment cites this paper.

The Piggyback Hypothesis of Generalization: Explaining and Mitigating Emergent Misalignment Fine-tuning can cripple your foundation model; preserving features may be the solution

Reference 16

Resolution: unresolved; no resolver link, observed 2026-07-12T14:59:04.152474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ff08e54-7857-4f54-853c-dcfe41c61f37 · inbound

Defending Against Malicious Finetuning by Scaling Train-time Adversarial Attacks cites this paper.

Defending Against Malicious Finetuning by Scaling Train-time Adversarial Attacks Fine-tuning can cripple your foundation model; preserving features may be the solution

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T20:47:22.930547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation b305f73a-fe3c-462d-807c-f4a71c532374 · inbound

FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model cites this paper.

FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model Fine-tuning can cripple your foundation model; preserving features may be the solution

Reference 63

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T02:59:26.800791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.