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Paper Citation Record · LEDGER

Progressive Prompts: Continual Learning for Language Models

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2301.12314.

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

pith.paper-citation-record.v1
2301.12314 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T19:28:43.831328Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T16:48:39.882143Z

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 15ede3ee-ea45-4ed3-b24d-233d0f44e8cf · inbound

A Comprehensive Overview of Large Language Models cites this paper.

A Comprehensive Overview of Large Language Models Progressive Prompts: Continual Learning for Language Models

Reference 252

Resolution
verified exact
arxiv_id, observed 2026-05-19T20:28:39.135337Z

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.

source=pdf_text observed=2026-05-19T20:28:38.900026Z digest=sha256:0fd8bc4ca1ccb3b2201bd5213a6ff897d50b91f2945bfbfcc999cf1d9ab6321a

Observation 7c46c60b-0da2-4622-adc3-87db7cffc75b · inbound

Soft-TransFormers for Continual Learning cites this paper.

Soft-TransFormers for Continual Learning Progressive Prompts: Continual Learning for Language Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-12T13:39:35.406570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T13:39:35.406570Z digest=sha256:82d8581fe8d56c6bf16c03e380aafc311de0712d48a2704dc24a2d9629cbf2bb

Observation f3a5fe5a-b94a-4dd1-a376-8ba9fe9b9893 · inbound

Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning cites this paper.

Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning Progressive Prompts: Continual Learning for Language Models

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T23:03:25.619471Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T23:03:25.619471Z digest=sha256:103f960b700f97ef45806812128fb2cda1aee49549deb97af99a7633e3966193

Observation 4f140fc0-7889-4af5-b5c0-0c2866a010cb · inbound

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning cites this paper.

LSEBMCL: A Latent Space Energy-Based Model for Continual Learning Progressive Prompts: Continual Learning for Language Models

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T21:16:35.573536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:16:35.573536Z digest=sha256:a5df6e760efdc61e9465e788fdeb4a43e848e2cf44623e57e535cf9f96556bc9

Observation f3ceb6f7-95ec-4076-9255-0990cd13550e · inbound

Spurious Forgetting in Continual Learning of Language Models cites this paper.

Spurious Forgetting in Continual Learning of Language Models Progressive Prompts: Continual Learning for Language Models

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-10T16:13:49.368351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:13:49.368351Z digest=sha256:4048da14163406cf422d5e549c50d86dceeca5e1fd3578cb75862bb00451fb29

Observation 598b8ad8-56be-4c3a-b46c-cd2646929d6b · 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 Progressive Prompts: Continual Learning for Language Models

Reference 175

Resolution
unresolved
no resolver link, observed 2026-08-07T00:40:30.199849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:40:30.199849Z digest=sha256:a52f74ea743b2dbd449f55f39c311a67c502335916f390749a1489453d36874f

Observation 042ed793-8cc5-4e7b-8d7b-63e224b6bf19 · inbound

Weight Factorization and Centralization for Continual Learning in Speech Recognition cites this paper.

Weight Factorization and Centralization for Continual Learning in Speech Recognition Progressive Prompts: Continual Learning for Language Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T19:28:43.831328Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T19:28:43.831328Z digest=sha256:0a37e6c92c44a208b2e56951b148ced773569248d3057ef4bfc0e4b8a58d9b46

Observation 0d6f5198-4250-4ad6-aa22-5eb8516e13eb · inbound

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts cites this paper.

Little by Little: Continual Learning via Incremental Mixture of Rank-1 Associative Memory Experts Progressive Prompts: Continual Learning for Language Models

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:06:34.621812Z

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.

source=pdf_text observed=2026-05-22T13:06:03.463520Z digest=sha256:b2b139268fdea4570fc0822bf6de3b3fef39744964bb13ddc8a2047334cc658c

Observation 27b1973b-a970-44d6-a5eb-3724b55d5cc2 · inbound

From Prompt to Pipeline: Large Language Models for Scientific Workflow Development in Bioinformatics cites this paper.

From Prompt to Pipeline: Large Language Models for Scientific Workflow Development in Bioinformatics Progressive Prompts: Continual Learning for Language Models

Reference 76

Resolution
unresolved
no resolver link, observed 2026-08-15T17:52:52.642540Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T17:52:52.642540Z digest=sha256:47412debd93ad95256609f57aed4ca08b3fd608656b9036b25373a5ac4ec33fa

Observation 5c51b262-aadb-4f18-8291-13fcce342ae3 · inbound

Handling Out-of-Distribution Data: A Survey cites this paper.

Handling Out-of-Distribution Data: A Survey Progressive Prompts: Continual Learning for Language Models

Reference 216

Resolution
unresolved
no resolver link, observed 2026-08-15T18:08:51.740786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T18:08:51.740786Z digest=sha256:5c5c64ae80e147486a03fc05775bb4de3770285f2822d3ec294d39968c0652aa

Observation 5ff9763c-8a08-4889-babb-d5ffa06dbcd7 · 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 Progressive Prompts: Continual Learning for Language Models

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-05T21:04:55.950859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T21:04:55.950859Z digest=sha256:a9f0c19274a45c6d793cbccacc0971204017065eeae15b61ab112ba9a5395619

Observation 7cb130a8-b75e-4ce0-a825-5e3a62d0f02d · inbound

FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning cites this paper.

FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning Progressive Prompts: Continual Learning for Language Models

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T16:31:05.722889Z

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.

source=pdf_text observed=2026-05-16T16:29:58.866059Z digest=sha256:8253af139560ef55fd8acad84f692908a2af20d59eb3679e710edcbd7b7852ab

Observation 3610818e-0ed3-4ae5-bf9e-d9f6e1ac4428 · inbound

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning cites this paper.

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning Progressive Prompts: Continual Learning for Language Models

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T02:16:16.368256Z

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.

source=pdf_text observed=2026-05-12T02:12:25.713592Z digest=sha256:fed052bf426c22fb5faf882c3b597d1c54ed7a649f0d42781a78619f49ccd114

Observation 092c2c10-a780-4429-a55d-18fbeb1d56fc · inbound

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning cites this paper.

Muon-OGD: Muon-based Spectral Orthogonal Gradient Projection for LLM Continual Learning Progressive Prompts: Continual Learning for Language Models

Reference 24

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T15:12:37.492067Z

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.

source=pdf_text observed=2026-05-19T15:11:43.827012Z digest=sha256:6d4928248a45e970b5718fe987eb9ed8e7892ab07bb27bf4b017750b3d9b85ef

Observation 94914e13-73ab-4418-b91c-3520aee5446d · inbound

Sparse Subspace-to-Expert Sharing for Task-Agnostic Continual Learning cites this paper.

Sparse Subspace-to-Expert Sharing for Task-Agnostic Continual Learning Progressive Prompts: Continual Learning for Language Models

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T16:57:10.216772Z

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.

source=arxiv_source observed=2026-06-27T22:15:36.264240Z digest=sha256:4e7254f3381cf72a0504e5feacca41aed8ae15792b6301907c051984068ec842

Observation 04b77739-0f6c-43bc-9459-3fdf1ea0c733 · inbound

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning cites this paper.

LLM Evolution as an Industry-Scale Ecosystem: A Lifecycle Perspective on Continual Learning Progressive Prompts: Continual Learning for Language Models

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-07-03T16:48:39.883472Z

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.

source=pdf_text observed=2026-06-27T05:02:18.347642Z digest=sha256:a3ceab565b82d92912aa62416ca16dedd3ad031d94736dd11be75ba8b2d71440

Observation d859b50c-3fb9-49c5-b911-d4a88b289697 · 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 Progressive Prompts: Continual Learning for Language Models

Reference 138

Resolution
unresolved
no resolver link, observed 2026-08-02T09:51:03.597851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T09:51:03.597851Z digest=sha256:2a05724e266c7a74f643fc734caa67263e115834d759c14dde1c16b5a2bb8cf8

Observation 70b810b7-290a-4d82-8edc-9846cdb0d12c · 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 Progressive Prompts: Continual Learning for Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-30T10:55:15.352717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-30T10:55:15.352717Z digest=sha256:609de294489129af36c382a26fbfce9ae118292a546c5cfe4f8ff93a2cb1f294