Paper Citation Record · LEDGER

Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 15 inbound Pith citation observations for arXiv:2403.01244.

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

pith.paper-citation-record.v1
2403.01244 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 15 of 15 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:26:28.147335Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T08:39:42.301817Z

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 059333a3-d376-476d-90e3-99b011060588 · inbound

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt cites this paper.

One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single Prompt Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T15:53:51.222171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 41b8fb0e-1696-4034-bcd2-6456b8dbfcf9 · inbound

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? cites this paper.

Towards Objective Fine-tuning: How LLMs' Prior Knowledge Causes Potential Poor Calibration? Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:11.000913Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e336d970-80ff-45f5-bbbb-71b308a37085 · 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 Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:52:56.017505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62652338-5352-47fd-a5e0-2445b83d45f6 · 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 Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:22.986424Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97e17c9d-4dc7-4e18-83d1-d12279ae4572 · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 138

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:33.065625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22524fca-3a90-4b26-9de1-9717c59f5342 · inbound

Enhancing Memory Recall in LLMs with Gauss-Tin: A Hybrid Instructional and Gaussian Replay Approach cites this paper.

Enhancing Memory Recall in LLMs with Gauss-Tin: A Hybrid Instructional and Gaussian Replay Approach Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T21:04:55.398019Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 376daea6-6c5e-4a92-8cbf-09a1cd85caef · inbound

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment cites this paper.

SelfAug: Mitigating Catastrophic Forgetting in Retrieval-Augmented Generation via Distribution Self-Alignment Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-05T10:34:43.832464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5f22c5b-81ff-457a-b9e9-8f127504e2d2 · inbound

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation cites this paper.

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T16:26:28.147335Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a983c063-bd01-4da3-8970-72212a877880 · inbound

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning cites this paper.

Mitigating Catastrophic Forgetting in Large Language Models with Forgetting-aware Pruning Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T21:01:50.098098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 239e695f-550f-4302-8fa3-892a3eaff3e8 · inbound

Robust Policy Optimization to Prevent Catastrophic Forgetting cites this paper.

Robust Policy Optimization to Prevent Catastrophic Forgetting Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:37:24.336512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ea1c5ea9-3fd1-4bb2-9f88-09cbf9f89353 · inbound

Memento: Personalized RAG-Style Long-Retention Data Scaling for META Ads Recommendation cites this paper.

Memento: Personalized RAG-Style Long-Retention Data Scaling for META Ads Recommendation Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-06-30T15:24:49.893674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 0608563f-8725-4109-9f4d-264245ef54ab · inbound

Forgetting in Language Models: Capacity, Optimization, and Self-Generated Replay cites this paper.

Forgetting in Language Models: Capacity, Optimization, and Self-Generated Replay Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-29T23:24:02.018446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6c34a662-7717-4b62-8dac-bdea653a9811 · inbound

CLaaS: Continual learning as a service for sample efficient online learning cites this paper.

CLaaS: Continual learning as a service for sample efficient online learning Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:56:55.028659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d3229f20-a436-4298-9568-fa00c3fededc · inbound

Curriculum Reinforcement Learning Can Incentivize Reasoning Capacity in LLMs Beyond the Base Model cites this paper.

Curriculum Reinforcement Learning Can Incentivize Reasoning Capacity in LLMs Beyond the Base Model Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:39:42.303465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3b8f4f8d-df66-4b15-b85c-7489c7ae80cc · inbound

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling cites this paper.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Reference 90

Resolution: unresolved; no resolver link, observed 2026-08-02T09:51:03.487344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.