Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2305.18010.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-15T23:56:59.594270Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-25T04:35:21.499683Z
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 89fd8941-9c3d-4ad8-be36-37eba6574b2c · inbound
$\texttt{BATCLIP}$: Bimodal Online Test-Time Adaptation for CLIP cites this paper.
$\texttt{BATCLIP}$: Bimodal Online Test-Time Adaptation for CLIP Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
Reference 61
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:06:27.597585Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ef377054-74ec-4d64-bdbb-319de9ee1ab2 · inbound
LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models cites this paper.
LoRA-TTT: Low-Rank Test-Time Training for Vision-Language Models Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
Reference 73
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T13:31:23.648287Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 454c9955-0255-47fa-882a-2e9bea8ec9eb · inbound
Noise is an Efficient Learner for Zero-Shot Vision-Language Models cites this paper.
Noise is an Efficient Learner for Zero-Shot Vision-Language Models Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
Reference 40
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T17:05:17.757886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87f8fbe4-685e-4e72-9017-5a9c1cf87f6f · inbound
Mitigating Image Captioning Hallucinations in Vision-Language Models cites this paper.
Mitigating Image Captioning Hallucinations in Vision-Language Models Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T23:56:59.594270Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 97aed157-de55-4cf2-993b-460a40147207 · inbound
Seeking Consensus: Geometric-Semantic On-the-Fly Recalibration for Open-Vocabulary Remote Sensing Semantic Segmentation cites this paper.
Seeking Consensus: Geometric-Semantic On-the-Fly Recalibration for Open-Vocabulary Remote Sensing Semantic Segmentation Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
Reference 39
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:46:26.711940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 1b390b0d-af58-4bd9-9156-0d70da7ae3a3 · inbound
Turning Adaptation into Assets: Cross-Domain Bridging for Online Vision-Language Navigation cites this paper.
Turning Adaptation into Assets: Cross-Domain Bridging for Online Vision-Language Navigation Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
Reference 12
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:35:21.502385Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.
Observation 68a4c455-f8a4-4d0b-8674-89e78ac24ef4 · inbound
Respect Your Zero-Shot Uncertainty: Conservative Calibration for Test-Time-Adapted Vision-Language Models cites this paper.
Respect Your Zero-Shot Uncertainty: Conservative Calibration for Test-Time-Adapted Vision-Language Models Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T20:37:46.318322Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.