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Paper Citation Record · LEDGER

MMRL: Multi-Modal Representation Learning for Vision-Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.08497.

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

pith.paper-citation-record.v1
2503.08497 v2

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 2026-08-21T06:32:19.484+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:22:01.687392Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-20T22:09:07.148446Z

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 ecfbf6ab-a9c9-4145-bd9c-c0d718730f5d · inbound

MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models cites this paper.

MMRL++: Parameter-Efficient and Interaction-Aware Representation Learning for Vision-Language Models MMRL: Multi-Modal Representation Learning for Vision-Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-15T21:22:01.687392Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:22:01.687392Z digest=sha256:4fd03bbaa32f1eca7ba5d716c9457f166c7683f57d7478dfdc60297640c2f326

Observation 15eb4b1a-5330-4c04-a667-d81df7c6f61c · inbound

SemPT: Semantic Prompt Tuning for Vision-Language Models cites this paper.

SemPT: Semantic Prompt Tuning for Vision-Language Models MMRL: Multi-Modal Representation Learning for Vision-Language Models

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-05T20:24:16.679388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:24:16.679388Z digest=sha256:c67504df508815a2eddd3cefd27a55881b0651b31b7824d3ab88975effabb8d2

Observation 009d9ce6-a220-4a88-81e6-26b7f83fc497 · inbound

A$_3$B$_2$: Adaptive Asymmetric Adapter for Alleviating Branch Bias in Vision-Language Image Classification with Few-Shot Learning cites this paper.

A$_3$B$_2$: Adaptive Asymmetric Adapter for Alleviating Branch Bias in Vision-Language Image Classification with Few-Shot Learning MMRL: Multi-Modal Representation Learning for Vision-Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-14T19:17:50.983967Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-14T19:14:03.809826Z digest=sha256:0fbe796345ae257c83e733168ab487d54989d614c128bd8c6e76f95c73721b77

Observation f13b8949-a9b4-42c9-8c12-f77dfd1b20d3 · inbound

A$_3$B$_2$: Adaptive Asymmetric Adapter for Alleviating Branch Bias in Vision-Language Image Classification with Few-Shot Learning cites this paper.

A$_3$B$_2$: Adaptive Asymmetric Adapter for Alleviating Branch Bias in Vision-Language Image Classification with Few-Shot Learning MMRL: Multi-Modal Representation Learning for Vision-Language Models

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-20T22:09:07.151069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-20T22:07:35.021986Z digest=sha256:aaf9c67b04665bf3f28ec67c75780f010cf5696df21a57fdb6b6dd88d5713f0b