Paper Citation Record · LEDGER

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries

As of 20 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2412.03837.

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

pith.paper-citation-record.v1
2412.03837 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T22:04:47.605296Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

28 of 28 outbound references displayed

verified exact1
verified fuzzy17
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2a1f9f93-7d78-4282-af3f-6cc995c1eda2 · outbound

This paper cites Generative AI,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries Generative AI,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.716336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e6a6e7c2-cd9e-479f-82dd-7d5393f87701 · outbound

This paper cites Exploring Language Models: A Comprehensive Survey and Analysis,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries Exploring Language Models: A Comprehensive Survey and Analysis,

Reference 2

Resolution: verified exact; raw_fallback, observed 2026-08-11T22:04:48.295916Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7ea671ec-9dea-4056-b39a-8b08b511742f · outbound

This paper cites A Survey of AI Text -to-Image and AI Text -to-Video Generators,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries A Survey of AI Text -to-Image and AI Text -to-Video Generators,

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-11T22:04:47.412880Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cf0a222-79e0-4e3f-bbb3-cadeb61ddab0 · outbound

This paper cites DALL-E 3,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries DALL-E 3,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.693430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2b7d5569-5b8b-4d3f-ab71-a568c35810b9 · outbound

This paper cites SORA: Video Generation Models as World Simulators,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries SORA: Video Generation Models as World Simulators,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.667394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 52fcc5b5-2147-4080-bd7f-aa2cebe28913 · outbound

This paper cites Imagen Video: High Definition Video Generation with Diffusion Models.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries Imagen Video: High Definition Video Generation with Diffusion Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-11T22:04:47.446024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 495e0b47-b5e0-4ef9-a9de-ce1e79b27ee4 · outbound

This paper cites Phenaki: Variable Length Video Generation From Open Domain Textual Description.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries Phenaki: Variable Length Video Generation From Open Domain Textual Description

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T22:04:47.453419Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32a54dcf-3519-4c95-ba96-7ef45119f1fa · outbound

This paper cites N\"UWA: Visual Synthesis Pre-training for Neural visUal World creAtion.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries N\"UWA: Visual Synthesis Pre-training for Neural visUal World creAtion

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T22:04:47.466042Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0bfd5589-b7d6-42f5-8c2d-128e6fdfd58d · outbound

This paper cites VideoStudio: Generating Consistent-Content and Multi -Scene Videos,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries VideoStudio: Generating Consistent-Content and Multi -Scene Videos,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.645860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 508e5bf1-53ab-4241-957a-c0ee3bbb25ef · outbound

This paper cites VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries VideoINSTA: Zero-shot Long Video Understanding via Informative Spatial-Temporal Reasoning with LLMs,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.620151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a3578904-c195-46c6-ba40-8a7693da917d · outbound

This paper cites Spatial–temporal relation reasoning for action prediction in videos,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries Spatial–temporal relation reasoning for action prediction in videos,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.597738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4fadefd5-4a93-416c-9cf2-7d4d17cecd65 · outbound

This paper cites Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries Video-XL: Extra-Long Vision Language Model for Hour-Scale Video Understanding,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.559355Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e3d379da-fbeb-45be-873b-7f517286ee37 · outbound

This paper cites Movie Gen Research Paper,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries Movie Gen Research Paper,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.537829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 86510fb4-c392-4779-9997-be42a5e31e89 · outbound

This paper cites The Llama 3 Herd of Models.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries The Llama 3 Herd of Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-11T22:04:47.520626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5b0ef6f-abce-4bb2-8c05-44e0ee5a2e16 · outbound

This paper cites Temporal convolutional autoencoder for unsupervised anomaly detection in time series,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries Temporal convolutional autoencoder for unsupervised anomaly detection in time series,

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-11T22:04:47.526916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1511022-f1e1-4649-954f-59c0a2117752 · outbound

This paper cites Attention is All You Need,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries Attention is All You Need,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.519818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 810d8d77-7cc0-4788-bfd0-6100af992b2b · outbound

This paper cites Root mean square layer normalization,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries Root mean square layer normalization,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.497717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4f3f095a-75a6-41ba-b112-ec3c54158f22 · outbound

This paper cites GLU Variants Improve Transformer.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries GLU Variants Improve Transformer

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-11T22:04:47.545029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7c1590c-363e-432d-a794-67174e8af62d · outbound

This paper cites Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-11T22:04:47.550705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a937a68-e871-4302-8c80-6e19c7abce6f · outbound

This paper cites Sequence Parallelism: Long Sequence Training from System Perspective.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries Sequence Parallelism: Long Sequence Training from System Perspective

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-11T22:04:47.556883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3bb3b7fc-34df-4e37-a967-3548066c807e · outbound

This paper cites Context parallelism overview,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries Context parallelism overview,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.477669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d641bc48-a0e3-42ee-a157-dd66be512de1 · outbound

This paper cites ZeRO: Memory Optimizations Toward Training Trillion Parameter Models.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries ZeRO: Memory Optimizations Toward Training Trillion Parameter Models

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-11T22:04:47.568368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebaae789-d30a-4736-9489-aaf4cdf7aeb4 · outbound

This paper cites MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.449657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e7b78ee3-c3f1-4ade-a430-89129aad8d97 · outbound

This paper cites FVD: A new Metric for Video Generation,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries FVD: A new Metric for Video Generation,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.420076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 959e7b74-d9f8-42c7-a975-63b338a2096b · outbound

This paper cites Introducing Gen -3 Alpha,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries Introducing Gen -3 Alpha,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.396079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 72b2a663-74d4-4cc0-87c1-a6a2067a7add · outbound

This paper cites [Online].

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries [Online]

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.373268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b8e8a6d1-722a-4bb6-986c-668f1af812e4 · outbound

This paper cites Generative adversarial nets,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries Generative adversarial nets,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.344047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 9726205b-75b9-4f7a-9260-38c95b02720b · outbound

This paper cites The Amazon Nova Family of Models: Technical Report and Model Card,.

Movie Gen: SWOT Analysis of Meta's Generative AI Foundation Model for Transforming Media Generation, Advertising, and Entertainment Industries The Amazon Nova Family of Models: Technical Report and Model Card,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-11T22:04:48.317367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Pith citing papers

No inbound Pith citation observations are available.