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Paper Citation Record · LEDGER

Continual Learning with Pre-Trained Models: A Survey

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 19 inbound Pith citation observations for arXiv:2401.16386.

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

pith.paper-citation-record.v1
2401.16386 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 19 of 19 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 19 of 19 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:15:59.559585Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T02:49:25.503928Z

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 63daa5a9-fa60-4254-aa5f-607e24452197 · inbound

Sparse Orthogonal Parameters Tuning for Continual Learning cites this paper.

Sparse Orthogonal Parameters Tuning for Continual Learning Continual Learning with Pre-Trained Models: A Survey

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-23T18:08:18.757997Z

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.

source=arxiv_source observed=2026-05-23T18:06:35.511653Z digest=sha256:51ff42c005d7f3004b3d73c2e36e87b01d2f07d741adaea79bd3ffbcc5353e1b

Observation e4c1ca59-0009-4448-b13b-1ad5b0f7b431 · inbound

SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting cites this paper.

SplitLoRA: Balancing Stability and Plasticity in Continual Learning Through Gradient Space Splitting Continual Learning with Pre-Trained Models: A Survey

Reference 58

Resolution
unresolved
no resolver link, observed 2026-08-07T13:15:59.559585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:15:59.559585Z digest=sha256:d175d239b676068c60084804793496d5e484d4218144b9eb35ad3acc68f20fcd

Observation af5d2f8f-10b9-46a4-b37a-c6e271f812b7 · inbound

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning cites this paper.

CL-LoRA: Continual Low-Rank Adaptation for Rehearsal-Free Class-Incremental Learning Continual Learning with Pre-Trained Models: A Survey

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T12:21:40.298290Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:21:40.298290Z digest=sha256:034929ba21d9a7f1b0682e5a515b3fd23bfa55518b0ffa47edb7292bf669f898

Observation 22a8c8f8-8d82-43a1-8a12-e83656aba16c · inbound

Continual Speech Learning with Fused Speech Features cites this paper.

Continual Speech Learning with Fused Speech Features Continual Learning with Pre-Trained Models: A Survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T11:46:58.615690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:46:58.615690Z digest=sha256:eff6b6bcc008a6880f907d71e33b629a2553822d219698fe7c46fcf93666e5b3

Observation e758f1a4-1de9-4d13-9112-592ce0c88e90 · inbound

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning cites this paper.

Dynamic Mixture of Progressive Parameter-Efficient Expert Library for Lifelong Robot Learning Continual Learning with Pre-Trained Models: A Survey

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T10:21:13.972297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:21:13.972297Z digest=sha256:f5be94838ef663799f1413cb46931b2c6022ba47885f62598574c0aaf10e0a05

Observation 445e163a-4cbc-425f-af63-c632bb9cfd26 · inbound

LifelongPR: Lifelong point cloud place recognition based on sample replay and prompt learning cites this paper.

LifelongPR: Lifelong point cloud place recognition based on sample replay and prompt learning Continual Learning with Pre-Trained Models: A Survey

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T17:48:45.728830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:48:45.728830Z digest=sha256:f6fb16b7049f00dff2e904ccf1aac99b035acda0c835e99c03e5d6771609a9ed

Observation 7bf6e584-9e3f-4d36-8cd7-c3a05ed3029a · inbound

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning cites this paper.

LTLZinc: a Benchmarking Framework for Continual Learning and Neuro-Symbolic Temporal Reasoning Continual Learning with Pre-Trained Models: A Survey

Reference 84

Resolution
unresolved
no resolver link, observed 2026-08-06T14:53:03.803463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T14:53:03.803463Z digest=sha256:920a48ac220f99f58f401733d00fc35dee1cb2082fd0db2c9bb9aa00a8745de8

Observation 3e70cd54-c9f0-43cc-9d4c-ed8bf1a4afb7 · inbound

Forward-Only Continual Learning cites this paper.

Forward-Only Continual Learning Continual Learning with Pre-Trained Models: A Survey

Reference 60

Resolution
unresolved
no resolver link, observed 2026-08-05T12:31:26.042244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T12:31:26.042244Z digest=sha256:4bab12c658c5374acf47cb2a1c4f4a87235758a726157c76ff7a00ab71cd22a5

Observation 711f0166-de29-4d34-b105-2b9683d500bc · inbound

Collaborative Parameter Learning: Mitigating Forgetting via Parameter-Level Gradient Analysis cites this paper.

Collaborative Parameter Learning: Mitigating Forgetting via Parameter-Level Gradient Analysis Continual Learning with Pre-Trained Models: A Survey

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:37:41.625079Z

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.

source=pdf_text observed=2026-05-16T09:34:23.475942Z digest=sha256:8545c89b2d6913867e6c004ee8936427b9760f967e43b67456b88c18a25710fa

Observation d6b949e4-61b5-43ad-8053-728b07363198 · inbound

OrthoPhys: Physically Plausible Video Generation with Orthogonal-View Geometry Guidance cites this paper.

OrthoPhys: Physically Plausible Video Generation with Orthogonal-View Geometry Guidance Continual Learning with Pre-Trained Models: A Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-07-13T22:30:15.744771Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T22:30:15.744771Z digest=sha256:a29b584e5a9ab74e18b7fb6b9d202aeab9abbef3fb70cfdcfc59395ee708e606

Observation d5f23034-14b4-45a4-a37e-358bdd969aa5 · inbound

A Faster Path to Continual Learning cites this paper.

A Faster Path to Continual Learning Continual Learning with Pre-Trained Models: A Survey

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-05-11T10:41:02.630246Z

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.

source=pdf_text observed=2026-05-10T15:23:35.559682Z digest=sha256:127426ac61d5311885f23c79c31a343a185a877c4298d6d76e4ee8536b2992b8

Observation 40b8f5c1-d8e9-429e-a159-f1d5bb769444 · inbound

HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning cites this paper.

HEDP: A Hybrid Energy-Distance Prompt-based Framework for Domain Incremental Learning Continual Learning with Pre-Trained Models: A Survey

Reference 28

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T19:36:15.169382Z

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.

source=arxiv_source observed=2026-05-08T11:25:01.780099Z digest=sha256:3ce85d382d79f8ca95ead32ea2c5af5fb904c8e064ce491baf4df2d94c9aee4b

Observation 5cbffacb-97b6-474d-8372-6390898d1008 · inbound

Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning cites this paper.

Beyond Point-wise Neural Collapse: A Topology-Aware Hierarchical Classifier for Class-Incremental Learning Continual Learning with Pre-Trained Models: A Survey

Reference 2

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T06:37:26.492340Z

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.

source=arxiv_source observed=2026-05-13T06:37:19.697078Z digest=sha256:7d907574aedf1e76487a0e1f60ecdaf18c3d723a273e92d4191e54ff488c170c

Observation cfbac51c-3849-4950-aec5-ea180f3f36d0 · inbound

iGSP:Implicit Gradient Subspace Projection for Efficient Continual Learning of Vision-Language Models cites this paper.

iGSP:Implicit Gradient Subspace Projection for Efficient Continual Learning of Vision-Language Models Continual Learning with Pre-Trained Models: A Survey

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-20T07:18:06.825439Z

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.

source=pdf_text observed=2026-05-20T07:17:49.088846Z digest=sha256:6f2b4f7759cdab2f4c2e95f067e14544eb987ff4811bf0a34c1ebe288c6f0374

Observation c67b5b0c-17a2-45d1-b398-9d06c8e6a113 · inbound

CMAP: Cross-Modal Adaptive Prompting for Multi-Domain Task-Incremental Learning cites this paper.

CMAP: Cross-Modal Adaptive Prompting for Multi-Domain Task-Incremental Learning Continual Learning with Pre-Trained Models: A Survey

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-06-29T23:14:01.242200Z

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.

source=pdf_text observed=2026-06-29T23:12:11.283075Z digest=sha256:9390883b6cf8ebdc96aa52a35d953a3f5175a02d731a021f8dd655d21dd44add

Observation e90b80a3-6fa5-4069-99ed-21ee305f59f0 · inbound

A Functional Data Framework For Analyzing Shapes and Textures in Images cites this paper.

A Functional Data Framework For Analyzing Shapes and Textures in Images Continual Learning with Pre-Trained Models: A Survey

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T06:57:43.384887Z

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.

source=arxiv_source observed=2026-06-27T12:21:09.703003Z digest=sha256:01e979e5fd523362906a0d70ec1908463c6c8316748a4a62eeaede3a9cfe7368

Observation fb7833af-5fa9-4bf8-a18e-985b172c0ea0 · inbound

Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation Models cites this paper.

Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation Models Continual Learning with Pre-Trained Models: A Survey

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-07-04T02:49:25.506688Z

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.

source=pdf_text observed=2026-06-26T18:49:39.851566Z digest=sha256:1f8f424143931d5280e557ff2b094e6a7bc526b1e4ad970a4ffbd76434ac5e62

Observation 72bb9a6e-8447-4ca8-9e98-c8af29fcc4fb · inbound

Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation Models cites this paper.

Token Factory: Efficiently Integrating Diverse Signals into Large Recommendation Models Continual Learning with Pre-Trained Models: A Survey

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-02T10:53:50.794351Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:53:50.794351Z digest=sha256:252c335262cf8fe14c74fa5809f9d92273094c1ea1425f38a04b0f3023983af2

Observation ebe66f86-75da-4625-bdfb-2a48ce876aa6 · inbound

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning cites this paper.

Miles: Metric Learning with Expandable Subspace for Pre-Trained Model-Based Class-Incremental Learning Continual Learning with Pre-Trained Models: A Survey

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T17:36:21.005158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T17:36:21.005158Z digest=sha256:d5ec3c2f32bb7cb0c450fbfbdf6e2cd738fefa5eb91c8c9e5bc95dad9a2b7573