Pith. sign in

Paper Citation Record · LEDGER

Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.18865.

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

pith.paper-citation-record.v1
2402.18865 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:52:56.059943Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

3
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c6c7f2a2-3a73-44ca-950d-0ce514475618 · inbound

Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting cites this paper.

Improved Supervised Fine-Tuning for Large Language Models to Mitigate Catastrophic Forgetting Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T04:52:56.059943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:52:56.059943Z digest=sha256:931adb438c2bb4efad4dbdd14cf01a42ada4657084e6e8e28ccb79f650c3fbd4

Observation 9b8069ac-4565-4fe6-b402-5ee376bd20b3 · inbound

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond cites this paper.

Continual Learning for Generative AI: From LLMs to MLLMs and Beyond Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning

Reference 176

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:30.523641Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:30.523641Z digest=sha256:3eb40890826c47ef8ee4b100c45a3712a055b6733e2b853769294c782d067008

Observation 2e6da08c-0d65-4617-a386-7cd5e91317c5 · inbound

Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs cites this paper.

Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-18T07:22:27.716479Z

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=pdf_text observed=2026-05-18T07:21:54.004830Z digest=sha256:673f071be6e496a7c7df124a6cf08bb29517ad14cc10b3e0c0754f82a5c86d51

Observation 4e3a9de8-485b-4d02-b44c-b1a8e4dfce48 · inbound

Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs cites this paper.

Diffusion-Inspired Masked Fine-Tuning for Knowledge Injection in Autoregressive LLMs Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-04T10:36:29.465467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T10:36:29.465467Z digest=sha256:1b271f21a1f0397e607f1112eb8c7249c1f6c03c091193e1c3a2358f4d35dd61

Observation 853f3e01-2e93-40f1-86be-48b287e616f8 · inbound

Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization cites this paper.

Efficient Task Adaptation in Large Language Models via Selective Parameter Optimization Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-10T06:26:27.677291Z

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=pdf_text observed=2026-05-10T06:21:59.735341Z digest=sha256:a3f5329e0962628f378de02050d6332ed1151a4a9b97b3353f5d87eb7830aec9

Observation d9ca36b7-ab49-480b-ae52-bce8018cff09 · inbound

Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation cites this paper.

Do Self-Evolving Agents Forget? Capability Degradation and Preservation in Lifelong LLM Agent Adaptation Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-12T06:31:29.281003Z

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=pdf_text observed=2026-05-12T04:10:31.784413Z digest=sha256:d9f554abc23b7d4a73d7e25a7fb40dc1e4e007a97fde737b159e5d1beda46be9

Observation 0422cf54-5c41-4432-9e92-2332804de8a3 · inbound

FreeMOCA: Memory-Free Continual Learning for Malicious Code Analysis cites this paper.

FreeMOCA: Memory-Free Continual Learning for Malicious Code Analysis Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:26:26.554777Z

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=pdf_text observed=2026-05-12T03:21:20.002910Z digest=sha256:f7dac83c36746776fbbd516f14de76eca8a9855951aee861603250a88dc145b3

Observation 44285f26-8532-4993-a433-3d13129b3d28 · inbound

FreeMOCA: Memory-Free Continual Learning for Malicious Code Analysis cites this paper.

FreeMOCA: Memory-Free Continual Learning for Malicious Code Analysis Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-15T05:35:04.189746Z

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=pdf_text observed=2026-05-15T05:34:41.851458Z digest=sha256:2cdd5c33b882529d8f542c9163447984bf83f6a4cf23aa5835d61f09138ea5aa

Observation 48debd1f-0618-40c4-9fd1-ac8c7fc57379 · inbound

Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation cites this paper.

Reward-Free Code Alignment from Pretrained or Fine-Tuned LLM: Unpacking the Trade-offs for Code Generation Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-06-30T08:34:26.704114Z

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=pdf_text observed=2026-06-30T08:30:37.016856Z digest=sha256:8baa8779063eb7ac0ac4a3a9b3c7759fa40fce312bbddb7b3635e67a75d46b4a

Observation 798acf14-67e8-491c-97d5-705bb7873ef1 · inbound

Securing LLMs in the Wild: Privacy and Security Challenges at the Edge cites this paper.

Securing LLMs in the Wild: Privacy and Security Challenges at the Edge Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-02T06:50:14.984239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T06:50:14.984239Z digest=sha256:5e62cc39b579657b1122ad87e1b2d32f6cf9fb5c1a87f89349e3faf699b9e746

Observation 345fc7d4-682c-4c2a-98ff-347a91388e0c · inbound

A Taxonomy of Cognitive Capability Gaps in Generative and Agentic AI cites this paper.

A Taxonomy of Cognitive Capability Gaps in Generative and Agentic AI Analyzing and Reducing Catastrophic Forgetting in Parameter Efficient Tuning

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-04T04:53:01.864218Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:53:01.864218Z digest=sha256:b2d95f8d411d75909a4e33831394425ace2296161510fbd9271a996e4921079a