Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
TiC-CLIP: Continual Training of CLIP Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.16226.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T20:36:39.713990Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-22T13:06:34.554807Z
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 623e0d06-c4dd-4a77-9f19-63a5c37e3edb · inbound
Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning cites this paper.
Take Only What You Need: Rank Minimization as an Implicit Forgetting Regularizer in Continual Learning TiC-CLIP: Continual Training of CLIP Models
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T04:51:47.131581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 859c610a-853a-4703-abb8-f362e8785436 · inbound
Scalable Strategies for Continual Learning with Replay cites this paper.
Scalable Strategies for Continual Learning with Replay TiC-CLIP: Continual Training of CLIP Models
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:36:39.713990Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4e58f7ec-a1ed-4437-b917-4b0325c2639a · 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 TiC-CLIP: Continual Training of CLIP Models
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T13:06:34.559235Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation abf0fd7d-26fa-4267-a882-4f5e03472464 · inbound
Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting cites this paper.
Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting TiC-CLIP: Continual Training of CLIP Models
Reference 66
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T23:44:26.834980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 054446a9-a1c4-4456-8fee-447f8df32c2a · inbound
Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting cites this paper.
Continual Learning for VLMs: A Survey and Taxonomy Beyond Forgetting TiC-CLIP: Continual Training of CLIP Models
Reference 66
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T00:51:54.757279Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.