Paper Citation Record · LEDGER

Don't Stop Learning: Towards Continual Learning for the CLIP Model

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2207.09248.

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

pith.paper-citation-record.v1
2207.09248 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T22:11:15.841825Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T23:14:01.248032Z

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 963eac12-cb98-47db-817f-250bc20b2439 · inbound

Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities cites this paper.

Satellites Reveal Mobility: A Commuting Origin-destination Flow Generator for Global Cities Don't Stop Learning: Towards Continual Learning for the CLIP Model

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T15:20:03.593078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da1c2c62-0633-40ff-bca9-a282f8048de9 · inbound

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection cites this paper.

iDPA: Instance Decoupled Prompt Attention for Incremental Medical Object Detection Don't Stop Learning: Towards Continual Learning for the CLIP Model

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T12:09:53.347856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91ba8720-aa03-4d6e-9b6a-c4c90128cdcf · inbound

Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion cites this paper.

Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion Don't Stop Learning: Towards Continual Learning for the CLIP Model

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-08T22:11:15.841825Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 681e562e-39e8-444d-b712-5a4f790fd7f8 · inbound

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP cites this paper.

ChordPrompt: Orchestrating Cross-Modal Prompt Synergy for Multi-Domain Incremental Learning in CLIP Don't Stop Learning: Towards Continual Learning for the CLIP Model

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:11:12.409760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9df6f888-e5cc-4da0-ba0b-11b25dec77c6 · 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 Don't Stop Learning: Towards Continual Learning for the CLIP Model

Reference 21

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:06:34.627212Z

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.

Observation 00764a63-4b15-4923-83ea-b12b4517753c · inbound

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting cites this paper.

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting Don't Stop Learning: Towards Continual Learning for the CLIP Model

Reference 135

Resolution: verified exact; arxiv_id, observed 2026-05-21T23:44:26.847413Z

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.

Observation cc55bf6e-e851-43d9-8a35-483e89034ab3 · inbound

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting cites this paper.

Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting Don't Stop Learning: Towards Continual Learning for the CLIP Model

Reference 135

Resolution: unresolved; no resolver link, observed 2026-08-06T00:52:01.683511Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c1a3d43-8625-46cb-b88c-143d5c341d7c · inbound

Textual Inversion for Efficient Adaptation of Open-Vocabulary Object Detectors Without Forgetting cites this paper.

Textual Inversion for Efficient Adaptation of Open-Vocabulary Object Detectors Without Forgetting Don't Stop Learning: Towards Continual Learning for the CLIP Model

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T23:31:48.470165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c686c0e-6338-41a2-9249-55373b401d8d · inbound

StructAlign: Structured Cross-Modal Alignment for Continual Text-to-Video Retrieval cites this paper.

StructAlign: Structured Cross-Modal Alignment for Continual Text-to-Video Retrieval Don't Stop Learning: Towards Continual Learning for the CLIP Model

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:40:50.904706Z

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.

Observation c7b76166-513f-433c-9ba4-0bb298482285 · inbound

DIMoE-Adapters: Dynamic Expert Evolution for Continual Learning in Vision-Language Models cites this paper.

DIMoE-Adapters: Dynamic Expert Evolution for Continual Learning in Vision-Language Models Don't Stop Learning: Towards Continual Learning for the CLIP Model

Reference 38

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:46:00.432528Z

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.

Observation aef9506b-1a72-4549-95a6-4e51c97a5075 · 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 Don't Stop Learning: Towards Continual Learning for the CLIP Model

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-20T07:18:06.822398Z

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.

Observation bb4f766f-8b18-4393-a345-48ed7751e4fd · 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 Don't Stop Learning: Towards Continual Learning for the CLIP Model

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T23:14:01.249937Z

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.

Observation d5bcd6f7-1dc2-4de8-9bb4-00d6bf9c0a8f · inbound

Beyond Routing Saturation: A Long-Horizon Class-Incremental Perspective on Expert Routing in Multimodal Continual Instruction Tuning cites this paper.

Beyond Routing Saturation: A Long-Horizon Class-Incremental Perspective on Expert Routing in Multimodal Continual Instruction Tuning Don't Stop Learning: Towards Continual Learning for the CLIP Model

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T00:14:51.831930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.