Paper Citation Record · LEDGER

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content

As of 7 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2508.04353.

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

pith.paper-citation-record.v1
2508.04353 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:44:55.861291Z

measured 18 of 18 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

18 of 18 outbound references displayed

verified exact0
verified fuzzy11
unresolved6
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 705aa325-7546-492b-827c-03f9e895c913 · outbound

This paper cites A comprehensive review on video summarization techniques,.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content A comprehensive review on video summarization techniques,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:44:58.730114Z

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.

Observation 22b58314-d83c-4593-80f4-f19251535347 · outbound

This paper cites Content-based multimedia information retrieval: State of the art and challenges,.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content Content-based multimedia information retrieval: State of the art and challenges,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:44:58.545241Z

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.

Observation 291f180b-1e51-46f9-8915-0a505a5a5576 · outbound

This paper cites Multimodal machine learning: A survey and taxonomy,.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content Multimodal machine learning: A survey and taxonomy,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:44:58.275432Z

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.

Observation 44f98050-b16e-4377-a007-0f5bd9e7caaf · outbound

This paper cites A Survey of Large Language Models.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content A Survey of Large Language Models

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-06T00:44:54.580819Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0381c68c-e56c-4fd2-8121-bde4793e6b55 · outbound

This paper cites Language models are few-shot learners,.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content Language models are few-shot learners,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:44:58.047228Z

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.

Observation bdef69f9-fcb2-4200-99d6-05ef0dc738c1 · outbound

This paper cites Pillow (pil fork),.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content Pillow (pil fork),

Reference 6

Resolution: malformed identifier; raw_fallback, observed 2026-08-06T00:44:58.039550Z

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.

Observation ce1e8904-7af1-4438-9a61-c289ed9ea417 · outbound

This paper cites The ”data.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content The ”data

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:44:57.967362Z

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.

Observation da38bf58-a3a2-4112-9217-cdeb01e8743a · outbound

This paper cites FFmpeg Multimedia Framework,.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content FFmpeg Multimedia Framework,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:44:57.729851Z

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.

Observation ed6a5e57-9177-4228-b28f-92f4f017af14 · outbound

This paper cites Whisper model card,.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content Whisper model card,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:44:57.516661Z

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.

Observation 98012ba0-e535-44b2-9250-01c475c5d8a7 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content Robust Speech Recognition via Large-Scale Weak Supervision

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T00:44:55.143750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a3c1534f-a4f5-4799-9457-14a59c7466d8 · outbound

This paper cites A statistical model-based voice activity detection,.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content A statistical model-based voice activity detection,

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-06T00:44:55.225751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63bfd8f6-cc3d-4036-a871-d6b046874730 · outbound

This paper cites Mixtral of Experts.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content Mixtral of Experts

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T00:44:55.343842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc3eaad9-5c41-4925-857d-63eba57f35ee · outbound

This paper cites an unresolved cited work.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-06T00:44:57.243302Z

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.

Observation 50753272-2686-4055-bc73-66633bf12f61 · outbound

This paper cites Video abstraction: A systematic review and classification,.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content Video abstraction: A systematic review and classification,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:44:56.995380Z

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.

Observation 9d15d469-8449-4f10-be8b-11e3ebfa16fa · outbound

This paper cites Long-term recurrent convolutional networks for visual recognition and description,.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content Long-term recurrent convolutional networks for visual recognition and description,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:44:56.727679Z

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.

Observation baff4128-77da-45e0-816d-10a5a6567ed2 · outbound

This paper cites Attention is all you need,.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content Attention is all you need,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:44:56.474737Z

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.

Observation db81f707-addc-4908-9aa0-0bf7b4e4818d · outbound

This paper cites Is space-time attention all you need for video understanding?.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content Is space-time attention all you need for video understanding?

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T00:44:56.175278Z

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.

Observation 0bff55a2-e3e0-4fb5-855b-657db1219fe2 · outbound

This paper cites A Survey of the State of Explainable AI for Natural Language Processing.

LUST: A Multi-Modal Framework with Hierarchical LLM-based Scoring for Learned Thematic Significance Tracking in Multimedia Content A Survey of the State of Explainable AI for Natural Language Processing

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T00:44:55.861291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.