Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.09562.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T23:50:58.869165Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-23T02:52:27.053293Z
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 eb592648-1229-459d-983a-d2cd8215eae8 · inbound
LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws cites this paper.
LLMs on the Line: Data Determines Loss-to-Loss Scaling Laws Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T02:52:27.055543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6ab94d23-151a-49a9-b34e-470c668a9f38 · inbound
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models cites this paper.
FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?
Reference 46
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T23:50:58.869165Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ff125acc-ffd6-40b4-a56c-72fbd9374c3d · inbound
LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models cites this paper.
LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?
Reference 6
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-22T00:54:31.280540Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5ce51729-76a7-4d30-b965-2801f923c945 · inbound
Less Precise Can Be More Reliable: A Systematic Evaluation of Quantization's Impact on VLMs Beyond Accuracy cites this paper.
Less Precise Can Be More Reliable: A Systematic Evaluation of Quantization's Impact on VLMs Beyond Accuracy Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T13:56:26.526689Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 6fb379a8-8f3c-4d81-b58c-83194832dada · inbound
Less Precise Can Be More Reliable: A Systematic Evaluation of Quantization's Impact on VLMs Beyond Accuracy cites this paper.
Less Precise Can Be More Reliable: A Systematic Evaluation of Quantization's Impact on VLMs Beyond Accuracy Does CLIP's Generalization Performance Mainly Stem from High Train-Test Similarity?
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T22:30:44.092541Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.