Paper Citation Record · LEDGER

Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2410.05210.

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

pith.paper-citation-record.v1
2410.05210 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T17:10:44.351701Z

measured 0 of 1 external citation measurements

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 c25eb1c7-2e98-4100-baeb-4f8e20af2636 · inbound

Causal Graphical Models for Vision-Language Compositional Understanding cites this paper.

Causal Graphical Models for Vision-Language Compositional Understanding Preserving Multi-Modal Capabilities of Pre-trained VLMs for Improving Vision-Linguistic Compositionality

Reference 2004

Resolution: unresolved; no resolver link, observed 2026-08-11T17:10:44.351701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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 2026-08-14T06:32:32.682623+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 2026-08-14T06:32:32.682623+00:00.