Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2410.05210.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:21:35.075784Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T13:39:50.766648Z
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 75edd83d-e0b1-49ea-a639-88d5cbf2042a · inbound
A Good CREPE needs more than just Sugar: Investigating Biases in Compositional Vision-Language Benchmarks cites this paper.
A Good CREPE needs more than just Sugar: Investigating Biases in Compositional Vision-Language Benchmarks Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:21:35.075784Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3a9d948-5ee5-43b8-b7f5-8373b14c58c1 · inbound
Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality cites this paper.
Cross-Modal Masked Compositional Concept Modeling for Enhancing Visio-Linguistic Compositionality Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
Reference 57
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T14:28:31.479611Z
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.
Observation 602388bf-c0f6-4cfd-92fc-7bcac1f2d99d · inbound
ReasonCLIP-58M: Visually Grounded Commonsense Reasoning Supervision for CLIP cites this paper.
ReasonCLIP-58M: Visually Grounded Commonsense Reasoning Supervision for CLIP Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality
Reference 64
- Resolution
- verified exact
- arxiv_id, observed 2026-07-04T13:39:50.768106Z
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.