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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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:f374d076b708c017406c18f500071e7f3ccf7adcd2a7f1a87f3264052cc6f3a3

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=sha256:9100c825dff3c214fef89c6a1a752677ab3e843238506b57ac51bbd3efb63ddc

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 2026-08-07T06:34:17.273281+00:00.

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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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:52:06.183099Z digest=sha256:8793d77dcdcea66bf203eddddb998b20f8b350c40726f060983136e354a19fb7

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:c85c05f824fda4f8bcaba77b593aed0237afe2ed9580e8b98fb7c7dd454871af

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:b814d82aa46bc364d1616b19ec28b5ce87db0e04f87f27dfc3c2afdbe188cc9e

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:52:06.501636Z digest=sha256:61af94bc8979461d61b054d4480baa563da5a852e99f48a995288969c57d01e3

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:52:06.634922Z digest=sha256:68d229196dab54f1f4a178265c1a3243992ebba3a2aa4eaa4b834aaa48a495d2

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:52:06.767089Z digest=sha256:5ce58394f042a6722df98025180a344e47affa6b98f86b180d32ce948377b782

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:52:06.847625Z digest=sha256:fc447032227ada29e59b4c4b5cd706a67f4d38610f8a2cee4fb3bcf2af7037f7

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:af4517d3ab849a7ab64532e78e6c71fd50ebf32cc7fd7f966e8c695040d63821

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=sha256:2ce9ecf8987d616f6f344a027dbf23c393f6aca0d01144c4fb87c05f7c1bf8b4

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:e9a0fbc8dc85a6c75b6ff961a6f09f5a3b031a97ff8a92c07ed2e095324d92ab

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

Resolution
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:52:05.303358Z digest=sha256:f6f9f7882e5c04cc6559ea010b4d0a5221056dd39586f55fa1061a91a24259e2

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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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=sha256:6246c1505ff173d7d7f1ac53e82afa7002f287cc65480dee8b9d5cc488d7970d

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:52:05.884792Z digest=sha256:1ce60086320798575bba5cbd843c835a8ad1bb5dc30a285d1ab73ac0d12f0321

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:bd83fe823892d7a08692eabeb067aec9e61e059145bfdfa027a971486fdca370

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=sha256:722601b0274c480514ff504a3138ada423c745c91a042060cb619a885a476181

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T21:52:05.549277Z digest=sha256:7eb02e6b1aa4c69ae0e4be9b8917233bdc1129489f968a3ce1a744c833680c92

Pith citing papers

No inbound Pith citation observations are available.