Paper Citation Record · LEDGER

Continual Learning of Large Language Models: A Comprehensive Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2404.16789.

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

pith.paper-citation-record.v1
2404.16789 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:05:43.601057Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T01:09:19.492400Z

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 b509e789-60c7-4d04-b561-ddbda7c42535 · inbound

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning cites this paper.

Position: Multimodal Large Language Models Can Significantly Advance Scientific Reasoning Continual Learning of Large Language Models: A Comprehensive Survey

Reference 167

Resolution: verified exact; arxiv_id, observed 2026-05-23T04:32:32.775456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation daa22cd9-8fe2-42e5-9bea-c3920abb2aef · inbound

Franken-Adapter: Cross-Lingual Adaptation of LLMs by Embedding Surgery cites this paper.

Franken-Adapter: Cross-Lingual Adaptation of LLMs by Embedding Surgery Continual Learning of Large Language Models: A Comprehensive Survey

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-08T11:05:43.601057Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3132390-4c37-406f-8e3b-d2a56e2b0a33 · inbound

From RAG to Memory: Non-Parametric Continual Learning for Large Language Models cites this paper.

From RAG to Memory: Non-Parametric Continual Learning for Large Language Models Continual Learning of Large Language Models: A Comprehensive Survey

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T01:36:19.849329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 545850d2-c155-4d66-b91d-d078b2b5be0b · inbound

T2I-ConBench: Text-to-Image Benchmark for Continual Post-training cites this paper.

T2I-ConBench: Text-to-Image Benchmark for Continual Post-training Continual Learning of Large Language Models: A Comprehensive Survey

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:54.664729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd9d3501-4338-42c2-9a40-000fe3cfd09c · 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? Continual Learning of Large Language Models: A Comprehensive Survey

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T13:51:12.793920Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 173ef998-a96c-4288-893c-51ec30484503 · inbound

From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering Agents cites this paper.

From Knowledge to Noise: CTIM-Rover and the Pitfalls of Episodic Memory in Software Engineering Agents Continual Learning of Large Language Models: A Comprehensive Survey

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T12:49:58.983895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c8b633c-188f-42b5-a35d-2955b4f54253 · inbound

Bridging the Gap: From Ad-hoc to Proactive Search in Conversations cites this paper.

Bridging the Gap: From Ad-hoc to Proactive Search in Conversations Continual Learning of Large Language Models: A Comprehensive Survey

Reference 88

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:30.245048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2c331c91-631c-4af5-b869-baa82fe3d10c · inbound

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions cites this paper.

The Future of Continual Learning in the Era of Foundation Models: Three Key Directions Continual Learning of Large Language Models: A Comprehensive Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T11:10:09.704815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02a7be75-45b9-434b-a160-8fc78a8b70b5 · 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 Continual Learning of Large Language Models: A Comprehensive Survey

Reference 185

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:31.606004Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a40be9ca-bd43-43c5-9d58-c61a669f49fd · inbound

SEAT: Sparse Entity-Aware Tuning for Knowledge Adaptation while Preserving Epistemic Abstention cites this paper.

SEAT: Sparse Entity-Aware Tuning for Knowledge Adaptation while Preserving Epistemic Abstention Continual Learning of Large Language Models: A Comprehensive Survey

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T09:37:14.185282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d27f66ef-674d-47ad-9826-b7b39c8ef32e · inbound

Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation cites this paper.

Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation Continual Learning of Large Language Models: A Comprehensive Survey

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T12:40:22.228275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b32e0bf4-63ca-49db-816f-2acdea6583fd · inbound

Continual Gradient Low-Rank Projection Fine-Tuning for LLMs cites this paper.

Continual Gradient Low-Rank Projection Fine-Tuning for LLMs Continual Learning of Large Language Models: A Comprehensive Survey

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-06T20:35:04.495349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9833c31c-a62f-4055-b887-2e8f76993ae5 · inbound

Improving MLLM's Document Image Machine Translation via Synchronously Self-reviewing Its OCR Proficiency cites this paper.

Improving MLLM's Document Image Machine Translation via Synchronously Self-reviewing Its OCR Proficiency Continual Learning of Large Language Models: A Comprehensive Survey

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T18:28:13.014475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4aaeacdd-b6ac-4123-b652-20f406154120 · inbound

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay cites this paper.

GeRe: Towards Efficient Anti-Forgetting in Continual Learning of LLM via General Samples Replay Continual Learning of Large Language Models: A Comprehensive Survey

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-05T23:54:23.113997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a12959f0-7b28-4cd4-b13f-f5dc42eef4a5 · 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 Continual Learning of Large Language Models: A Comprehensive Survey

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T21:04:56.078739Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c0c0b0eb-f2bd-4eae-a384-4abc1e19f4a5 · 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 Continual Learning of Large Language Models: A Comprehensive Survey

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-05T10:34:45.963993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9332d627-5c56-42a2-849e-24ba071000fd · inbound

Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting cites this paper.

Retaining by Doing: The Role of On-Policy Data in Mitigating Forgetting Continual Learning of Large Language Models: A Comprehensive Survey

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T08:49:34.024285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3441ddc-d4e8-4819-bb78-09a7434372a8 · inbound

Towards Scalable Lifelong Knowledge Editing with Selective Knowledge Suppression cites this paper.

Towards Scalable Lifelong Knowledge Editing with Selective Knowledge Suppression Continual Learning of Large Language Models: A Comprehensive Survey

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:21:05.177469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1194d303-03be-4908-95c8-8e5cb486b316 · inbound

MADS: Model-Aware Diverse Core Set Selection for Instruction Tuning cites this paper.

MADS: Model-Aware Diverse Core Set Selection for Instruction Tuning Continual Learning of Large Language Models: A Comprehensive Survey

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:16:01.030698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b6ee9206-41ac-4c8e-a221-d98d2aa9cb23 · inbound

A Local Perturbation Theory for Cross-Domain Interference and Recovery in Multi-Domain RL cites this paper.

A Local Perturbation Theory for Cross-Domain Interference and Recovery in Multi-Domain RL Continual Learning of Large Language Models: A Comprehensive Survey

Reference 28

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:16:15.926927Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 91ef92c5-da53-4a8e-ad9f-bffbcf9b5989 · inbound

Catastrophic Forgetting is Low-Rank: A Function-Space Theory for Continual Adaptation cites this paper.

Catastrophic Forgetting is Low-Rank: A Function-Space Theory for Continual Adaptation Continual Learning of Large Language Models: A Comprehensive Survey

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:08:56.177017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8414fc18-236b-4113-92bd-49752098a379 · inbound

User as Engram: Internalizing Per-User Memory as Local Parametric Edits cites this paper.

User as Engram: Internalizing Per-User Memory as Local Parametric Edits Continual Learning of Large Language Models: A Comprehensive Survey

Reference 87

Resolution: verified exact; arxiv_id, observed 2026-07-04T01:09:19.493740Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bce83926-e16b-4251-9817-baec6046f051 · inbound

Repeated post-training is not Self-improving: Diagnosing Scientific Amnesia in Continual DPO Pipelines cites this paper.

Repeated post-training is not Self-improving: Diagnosing Scientific Amnesia in Continual DPO Pipelines Continual Learning of Large Language Models: A Comprehensive Survey

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:29:15.813475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a1479995-2e93-4a4b-b222-8505cda6f74c · inbound

Assert, don't describe: Linguistic features that shift LLM reasoning about animal welfare cites this paper.

Assert, don't describe: Linguistic features that shift LLM reasoning about animal welfare Continual Learning of Large Language Models: A Comprehensive Survey

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T08:05:31.129123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 73b8ebf3-d160-4fa8-860d-b5341ee0a915 · 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 Continual Learning of Large Language Models: A Comprehensive Survey

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-02T09:51:03.489576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9889a54c-af73-4b5c-9ba7-f893384671f4 · inbound

Latent-LoRA: Compact Latent-Space Adapters with Gradient-Free Routing for Continual Learning cites this paper.

Latent-LoRA: Compact Latent-Space Adapters with Gradient-Free Routing for Continual Learning Continual Learning of Large Language Models: A Comprehensive Survey

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-30T10:55:15.286541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.