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Paper Citation Record · LEDGER

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation

As of 10 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 0 inbound Pith citation observations for arXiv:2506.23271.

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

pith.paper-citation-record.v1
2506.23271 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:52:06.981051Z

measured 19 of 19 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

19 of 19 outbound references displayed

  • verified exact6
  • verified fuzzy2
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d3e70972-a2ea-426c-851b-8dcea2b82038 · outbound

This paper cites PLOT: Prompt Learning with Optimal Transport for Vision-Language Models.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation PLOT: Prompt Learning with Optimal Transport for Vision-Language Models

Reference 3

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unresolved
no resolver link, observed 2026-08-06T21:52:05.432881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:05.432881Z digest=sha256:7a07ce71ce3afdf59ba731588b16d4c585dc830cbdc43a47c3991f4988bc1723

Observation 298261b1-61cc-4c71-a3eb-a464b76f3c39 · outbound

This paper cites PPT: Pre-trained Prompt Tuning for Few-shot Learning.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation PPT: Pre-trained Prompt Tuning for Few-shot Learning

Reference 6

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unresolved
no resolver link, observed 2026-08-06T21:52:05.682604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:05.682604Z digest=sha256:fa0ff073a2bb4de94a503eb2aac75de30d48b07dbc330c6baaf1bbef3c335c0e

Observation c0fd8cfb-3711-4fb9-afe1-16c220b88728 · outbound

This paper cites Dual-modality seq2seq network for audio-visual event localization.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation Dual-modality seq2seq network for audio-visual event localization

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-06T21:52:10.343476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:52:06.119909Z digest=sha256:8e31e6d8565270d89db3cbc565b98e6f9e388d247cc68468deb3ca3d1b84fe1a

Observation fbb42be9-3150-4448-bf10-022af358f53d · outbound

This paper cites MA-AVT: Modality Alignment for Parameter-Efficient Audio-Visual Transformers.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation MA-AVT: Modality Alignment for Parameter-Efficient Audio-Visual Transformers

Reference 12

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verified exact
local_arxiv, observed 2026-08-06T21:52:09.396625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:52:06.183099Z digest=sha256:a8f26ea92d6867a3da71364e081cd0cbca624c76bfa4b2d3b3493ea04342b295

Observation a962c196-5288-4e7c-a355-f89e2bc3e3ea · outbound

This paper cites Mixed Precision Training.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation Mixed Precision Training

Reference 13

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unresolved
no resolver link, observed 2026-08-06T21:52:06.295932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:06.295932Z digest=sha256:ec34a7f8a9ef4910bffdf38fcc9fad0e89521f1cfd11536a77b69d612246334e

Observation 12b340c9-99c4-41ff-88fd-74d7da31fbaf · outbound

This paper cites Consistency-guided Prompt Learning for Vision-Language Models.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation Consistency-guided Prompt Learning for Vision-Language Models

Reference 14

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unresolved
no resolver link, observed 2026-08-06T21:52:06.380572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:06.380572Z digest=sha256:433496935036a871dd8fe4e45f806b218d6033e8242b784116f6de0f4bed5b6e

Observation ba76b7ce-76bb-43be-85b5-848182325ede · outbound

This paper cites An Attempt towards Interpretable Audio-Visual Video Captioning.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation An Attempt towards Interpretable Audio-Visual Video Captioning

Reference 15

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:52:09.150807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:52:06.501636Z digest=sha256:79658ec8e9bbd84597d56331926027738f9b5057c68943af084bfef1d65b951e

Observation d4d822ee-8908-4d54-9f7f-f26f18ae03ca · outbound

This paper cites Learning in Audio-visual Context: A Review, Analysis, and New Perspective.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation Learning in Audio-visual Context: A Review, Analysis, and New Perspective

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:52:08.430081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:52:06.634922Z digest=sha256:3608d853cd4573d3824534a3df9b045a149cbb906f97fd9548bd72a20553f2ac

Observation a08b4b5b-8e83-4737-9f1a-cda4d0113f0f · outbound

This paper cites Pano-avqa: Grounded audio-visual question answering on 360deg videos.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation Pano-avqa: Grounded audio-visual question answering on 360deg videos

Reference 17

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verified fuzzy
raw_fallback, observed 2026-08-06T21:52:10.190282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:52:06.767089Z digest=sha256:6f774270656d5d171abb35e9372675615eaa003cd0ebeb9fe995d6876aad1dae

Observation 9dfd56df-e9b1-4151-932a-11a23e922aad · outbound

This paper cites Are All Layers Created Equal?.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation Are All Layers Created Equal?

Reference 18

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verified exact
local_arxiv, observed 2026-08-06T21:52:07.233890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:52:06.847625Z digest=sha256:d2c9b02f78a1d92138bdabe6272882b3ea027a558e3e8f7cb35a1de0f287efd8

Observation 1ad984aa-aba9-4c74-9a38-c644737b34d1 · outbound

This paper cites Improving Audio-Visual Video Parsing with Pseudo Visual Labels.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation Improving Audio-Visual Video Parsing with Pseudo Visual Labels

Reference 19

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unresolved
no resolver link, observed 2026-08-06T21:52:06.981051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:06.981051Z digest=sha256:e5ad781f75704364828223c0d674197cb4f136affcf701653f72f33be32d97cf

Observation 86964e6e-d519-4f8d-a782-f5c8373628f6 · outbound

This paper cites What do Vision Transformers Learn? A Visual Exploration.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation What do Vision Transformers Learn? A Visual Exploration

Reference 2017

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unresolved
no resolver link, observed 2026-08-06T21:52:05.620893Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:05.620893Z digest=sha256:eed6c1d364d73271f2da3a892d0002987034c7e065c79002f621a060f3bda052

Observation d7cb53ed-3853-47e0-bb81-13f58926434d · outbound

This paper cites Simple, Scalable Adaptation for Neural Machine Translation.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation Simple, Scalable Adaptation for Neural Machine Translation

Reference 2018

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unresolved
no resolver link, observed 2026-08-06T21:52:04.191002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:04.191002Z digest=sha256:492fa634fb8abc089c54c7f7144ce4d6cff669dfdf299ff45328e9b7258e0b35

Observation 02397d63-9734-40b8-a85f-e710e53a263c · outbound

This paper cites AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation AudioMNIST: Exploring Explainable Artificial Intelligence for Audio Analysis on a Simple Benchmark

Reference 2019

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verified exact
local_arxiv, observed 2026-08-06T21:52:09.979021Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:52:05.303358Z digest=sha256:95d8ffb4cb13d08cc930101c8217ade0dfca96736c97eff87c549feb01505b98

Observation bdf83a01-ddf5-49f8-aa19-5665443dda64 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation LoRA: Low-Rank Adaptation of Large Language Models

Reference 2020

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unresolved
no resolver link, observed 2026-08-06T21:52:05.790041Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:05.790041Z digest=sha256:695afc786a85ed9d23bc7315a58a9ca4fdd4f1f19df679682a225654428b3b98

Observation e045ada3-9866-492a-9455-47c4ad783cc4 · outbound

This paper cites AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning

Reference 2021

Resolution
verified exact
local_arxiv, observed 2026-08-06T21:52:09.610064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:52:05.884792Z digest=sha256:39b90d81b6783b57ca1fb05cf48da438af34b7c07fab811cc42479c20ec6f62f

Observation 0d7f8eff-ebd6-452f-9d89-247bfeface7f · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 2022

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unresolved
no resolver link, observed 2026-08-06T21:52:06.052717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:06.052717Z digest=sha256:ed6e3b53b9e38437dfa3959d43cd856e360434c0c2f48b9dc1397bfad49eda14

Observation f54e27b6-dac4-48e6-b2c3-55c6dfabdb8e · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 2023

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unresolved
no resolver link, observed 2026-08-06T21:52:05.976012Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:52:05.976012Z digest=sha256:071d7dbb785e6b2e0c7535d9eec5ade8c243fb75cba1640a93003e62e41a1472

Observation 80143a62-4c19-47bb-b2d4-5c02da041242 · outbound

This paper cites Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection.

Mettle: Meta-Token Learning for Memory-Efficient Audio-Visual Adaptation Compositional Prompt Tuning with Motion Cues for Open-vocabulary Video Relation Detection

Reference 2024

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metadata mismatch
local_arxiv, observed 2026-08-06T21:52:09.822104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-06T21:52:05.549277Z digest=sha256:89346d63d4e1543b0f7c31b6ab23511dda8a42b4235e90eaccd838342beea067

Pith citing papers

No inbound Pith citation observations are available.