Paper Citation Record · LEDGER

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities

As of 17 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 2 inbound Pith citation observations for arXiv:2505.14562.

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

pith.paper-citation-record.v1
2505.14562 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:36:15.094780Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:49:53.551896Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:41:14.663492Z

Reference resolution

18 of 18 outbound references displayed

verified exact1
verified fuzzy15
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 99e7f0db-e75a-41eb-b099-380885e3ee43 · outbound

This paper cites Learning transferable visual models from natural language supervision,.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities Learning transferable visual models from natural language supervision,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:17.549401Z

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 2b93de3d-88e2-43dd-a87b-ba987bbb8709 · outbound

This paper cites CLAP learning audio concepts from natural lan- guage supervision,.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities CLAP learning audio concepts from natural lan- guage supervision,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:17.408674Z

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 fabf8d23-e5c5-46de-8acd-fa912c52bd6b · outbound

This paper cites Multimodal learn- ing with deep boltzmann machines,.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities Multimodal learn- ing with deep boltzmann machines,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:17.235540Z

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 e96eb8f0-4007-4a5a-aa42-9441bc759fe2 · outbound

This paper cites Learning visual features from large weakly supervised data,.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities Learning visual features from large weakly supervised data,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:17.052093Z

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 db6b673f-9dbc-45ab-9532-31d92af84d9d · outbound

This paper cites Scaling up visual and vision-language representation learning with noisy text supervision,.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities Scaling up visual and vision-language representation learning with noisy text supervision,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:16.912027Z

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 32e3baa8-88bc-4130-b9d7-aaa8079621cf · outbound

This paper cites Florence: A New Foundation Model for Computer Vision.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities Florence: A New Foundation Model for Computer Vision

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:13.877031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb57bd20-a237-4aa2-84a2-75e9ed2c7cdd · outbound

This paper cites Wav2CLIP: Learning robust audio representa- tions from CLIP,.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities Wav2CLIP: Learning robust audio representa- tions from CLIP,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:16.768700Z

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 396192f0-8fa6-4f63-a623-313544346d70 · outbound

This paper cites Microsoft COCO: Common objects in context,.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities Microsoft COCO: Common objects in context,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:16.591992Z

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 64a99d06-0983-431a-90d9-1fd6fb60e89d · outbound

This paper cites Visual genome: Connecting lan- guage and vision using crowdsourced dense image annotations,.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities Visual genome: Connecting lan- guage and vision using crowdsourced dense image annotations,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:16.430857Z

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 07f760c5-d9c6-4ada-86c1-3a2436579f30 · outbound

This paper cites YFCC100M: The new data in multimedia research,.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities YFCC100M: The new data in multimedia research,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:16.243583Z

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 9f471ed8-3cb0-4790-a9ae-65f3e2d60f93 · outbound

This paper cites FSD50K: An open dataset of human-labeled sound events,.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities FSD50K: An open dataset of human-labeled sound events,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:16.106720Z

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 68537183-119f-44b4-955e-a282dceffadf · outbound

This paper cites Clotho: An audio captioning dataset,.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities Clotho: An audio captioning dataset,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:15.929498Z

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 67bd587a-e2c3-4fa3-9363-a1501bb6a625 · outbound

This paper cites AudioCaps: Generating captions for audios in the wild,.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities AudioCaps: Generating captions for audios in the wild,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:15.814031Z

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 0aeba42d-176e-414e-9584-807e916a9439 · outbound

This paper cites What is the ground truth? reliability of multi-annotator data for audio tag- ging,.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities What is the ground truth? reliability of multi-annotator data for audio tag- ging,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:15.632294Z

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 d814e34b-9f97-4733-98df-56ee70e7696b · outbound

This paper cites Audio- CLIP: Extending CLIP to image, text and audio,.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities Audio- CLIP: Extending CLIP to image, text and audio,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:15.484053Z

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 2ece6d4f-4a63-40ea-a543-ceba1cabcdaf · outbound

This paper cites Audio Set: An ontology and human-labeled dataset for audio events,.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities Audio Set: An ontology and human-labeled dataset for audio events,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T15:36:15.380850Z

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 3dbc9405-fb1f-4ae3-a221-602119900054 · outbound

This paper cites Sudarsanam, I.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities Sudarsanam, I

Reference 17

Resolution: verified exact; doi, observed 2026-08-07T15:36:15.236385Z

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 7a0b3938-31fc-49ce-ae4f-2a5ff4c5c74e · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities Representation Learning with Contrastive Predictive Coding

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T15:36:15.094780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 367aff17-6b04-4fb6-9b8f-f32f317f4eed · inbound

MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks cites this paper.

MAGNET: A Multi-agent Framework for Finding Audio-Visual Needles by Reasoning over Multi-Video Haystacks Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities

Reference 107

Resolution: unresolved; no resolver link, observed 2026-08-07T05:49:53.551896Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3301051a-947f-4ff9-90c4-2bd38cb9021d · inbound

EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception cites this paper.

EgoAdapt: Adaptive Multisensory Distillation and Policy Learning for Efficient Egocentric Perception Representation Learning for Semantic Alignment of Language, Audio, and Visual Modalities

Reference 96

Resolution: verified exact; local_arxiv, observed 2026-08-06T22:41:14.716289Z

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.