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Paper Citation Record · LEDGER

Allegro: Open the Black Box of Commercial-Level Video Generation Model

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 26 inbound Pith citation observations for arXiv:2410.15458.

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

pith.paper-citation-record.v1
2410.15458 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 26 of 26 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 26 of 26 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:43:38.016460Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T23:59:06.234618Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 89506578-e208-4f5b-80e6-2ac5e98685cc · inbound

Open-Sora Plan: Open-Source Large Video Generation Model cites this paper.

Open-Sora Plan: Open-Source Large Video Generation Model Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 29

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verified exact
arxiv_id, observed 2026-05-23T08:42:45.213636Z

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=2026-05-23T08:38:27.946746Z digest=sha256:32cfc0eaf550b7f3dd4f78bc190947f500b2637b25a52b26db4ebc2153836092

Observation 345fe5b6-7b2f-4d47-877b-f0ac7442d423 · inbound

HunyuanVideo: A Systematic Framework For Large Video Generative Models cites this paper.

HunyuanVideo: A Systematic Framework For Large Video Generative Models Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 104

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verified exact
arxiv_id, observed 2026-05-23T07:42:43.441999Z

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=2026-05-23T07:41:58.617477Z digest=sha256:c3e40ea2335537a7f732bef6b23b8dd6dfdd89d5e3ffb5e4c5b8f81863ab61fe

Observation f60d5061-754f-4480-a00b-65e1bbed8677 · inbound

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model cites this paper.

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 95

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no resolver link, observed 2026-08-07T15:43:38.016460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:43:38.016460Z digest=sha256:dcac7587dfb2a17414941c6dcdd550b760ce108fefbe6e38021f46ca7febc4f3

Observation 674d369a-5816-41c1-9ae9-3c02adad90f1 · inbound

HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters cites this paper.

HunyuanVideo-Avatar: High-Fidelity Audio-Driven Human Animation for Multiple Characters Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 43

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no resolver link, observed 2026-08-07T14:02:30.456640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:02:30.456640Z digest=sha256:a10150c8203079cab58cacd376d4e81578a5fdd50d0b2a2106c61d6bb3eb3f46

Observation de01d5bf-5eaa-46e7-a13c-956697507210 · inbound

OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation cites this paper.

OpenS2V-Nexus: A Detailed Benchmark and Million-Scale Dataset for Subject-to-Video Generation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 124

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no resolver link, observed 2026-08-07T13:59:37.247982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:59:37.247982Z digest=sha256:76c63ab07da5f3f5c71f98bbff2822420daaf6af06a4a9eb97e8566a23711d66

Observation 0f82b039-061e-4c9a-ab90-560cdd0c3a34 · inbound

SkyReels-Audio: Omni Audio-Conditioned Talking Portraits in Video Diffusion Transformers cites this paper.

SkyReels-Audio: Omni Audio-Conditioned Talking Portraits in Video Diffusion Transformers Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 82

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no resolver link, observed 2026-08-07T12:01:09.480529Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:01:09.480529Z digest=sha256:746a3450db67104bb6a7f9d08d9d4c9d616fa3ac26d6b2eccceb074563c14a7e

Observation 7a15593f-66ba-4175-a21e-83154ffc2f23 · inbound

OmniV2V: Versatile Video Generation and Editing via Dynamic Content Manipulation cites this paper.

OmniV2V: Versatile Video Generation and Editing via Dynamic Content Manipulation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 63

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unresolved
no resolver link, observed 2026-08-07T11:40:23.559628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:40:23.559628Z digest=sha256:8b5c94446044de421e1e174579f16ea461c31b66791e28ab45e3ad3a521c4156

Observation ef30a557-886f-49d0-8ac8-70202a503d7d · inbound

PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement cites this paper.

PolyVivid: Vivid Multi-Subject Video Generation with Cross-Modal Interaction and Enhancement Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 48

Resolution
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no resolver link, observed 2026-08-07T05:30:33.055697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:30:33.055697Z digest=sha256:75df2e43f81524c58ae73e2bb6296e3f41e988752e4610e271f270c9bbd3ff89

Observation 8298ced2-5661-40d2-a24b-03c834d10b85 · inbound

HunyuanVideo-HOMA: Generic Human-Object Interaction in Multimodal Driven Human Animation cites this paper.

HunyuanVideo-HOMA: Generic Human-Object Interaction in Multimodal Driven Human Animation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 52

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no resolver link, observed 2026-08-07T05:07:15.188299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:07:15.188299Z digest=sha256:a350f28fe4bea30485dd388059dad1705d653e5ad1dfe148773a2adb6108002b

Observation 3b9c747b-fcd6-4b46-99e3-3dd3ab03be97 · inbound

GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning cites this paper.

GigaVideo-1: Advancing Video Generation via Automatic Feedback with 4 GPU-Hours Fine-Tuning Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 20

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no resolver link, observed 2026-08-07T04:29:36.769463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:29:36.769463Z digest=sha256:387ecdf1ab004b09de4c1d86bbf088c9836f4d411a1a4083c959a1e8294fcc46

Observation f40f6c56-d9b4-4fbd-8eca-ca6c547f3377 · inbound

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos cites this paper.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 44

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no resolver link, observed 2026-08-06T19:25:08.647722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.647722Z digest=sha256:96810f261643f9d5f521ccee6ec6c0e138b2fba050537cd39e3bbbc6cc6322fc

Observation 7ac1f8d8-de29-43b0-bfbf-1d16fead640c · inbound

LoViC: Efficient Long Video Generation with Context Compression cites this paper.

LoViC: Efficient Long Video Generation with Context Compression Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 94

Resolution
unresolved
no resolver link, observed 2026-08-06T16:39:33.844639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:39:33.844639Z digest=sha256:d655c54b77251279176aab5d6e0c81a42107a855d0fb582dba4013f467a7ba56

Observation 30b5a8eb-6250-443c-88e6-b9ba1b99d06c · inbound

Improving Video Diffusion Transformer Training by Multi-Feature Fusion and Alignment from Self-Supervised Vision Encoders cites this paper.

Improving Video Diffusion Transformer Training by Multi-Feature Fusion and Alignment from Self-Supervised Vision Encoders Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 34

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no resolver link, observed 2026-08-04T18:58:11.035409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T18:58:11.035409Z digest=sha256:572013b940ed1e850edecdfd5a9a30a72450fdb4303dd494b3e6107124a23a59

Observation 0dc8eefc-fcde-4788-b424-d6f0fcef94c2 · inbound

ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation cites this paper.

ChopGrad: Pixel-Wise Losses for Latent Video Diffusion via Truncated Backpropagation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 84

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malformed identifier
arxiv_id, observed 2026-05-15T09:45:23.245655Z

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=2026-05-15T09:42:26.074609Z digest=sha256:1dc966903bc01cbea4ddb31ecab9c2f65c34e7c93cca658f91c27ce18ef79eba

Observation f16c48cd-0194-4afb-9b9a-68c00bc42e9e · inbound

Latent-Compressed Variational Autoencoder for Video Diffusion Models cites this paper.

Latent-Compressed Variational Autoencoder for Video Diffusion Models Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 56

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T10:41:03.125071Z

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=2026-05-10T15:23:19.583713Z digest=sha256:53452a0ffafa975d90c56e16715593e7e642783ebbceb2712fa9ed1ed7f40551

Observation 93bb69bc-7543-435c-a1b8-111094802603 · inbound

Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation cites this paper.

Mutual Forcing: Dual-Mode Self-Evolution for Fast Autoregressive Audio-Video Character Generation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 61

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verified exact
arxiv_id, observed 2026-05-11T23:31:14.696999Z

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=2026-05-07T16:54:23.108142Z digest=sha256:2fb9b9980cf2512ec9c7351cb5facad78d927ea425613da9b1f59fd31b615cd7

Observation 941cf920-cc9c-4ca0-a84e-c8418149e6d3 · inbound

Latent Spatial Memory for Video World Models cites this paper.

Latent Spatial Memory for Video World Models Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 35

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verified exact
arxiv_id, observed 2026-07-03T01:07:30.587853Z

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=2026-06-27T16:47:42.761342Z digest=sha256:a59379b8ca47c8de8d9ecc9c5f34fd4d799db36c42080eccc0ed2e33c3ff0bc5

Observation 30678511-71ce-468a-8f10-f678ea885493 · inbound

ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation cites this paper.

ARGUS: Stacked Multi-View Identity Mosaic Injection for Subject-Preserving Video Generation Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 65

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verified exact
arxiv_id, observed 2026-07-03T08:17:45.984249Z

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=2026-06-27T10:46:56.871174Z digest=sha256:89ffcca1962592c42adfdb4ac644c78f43b4be5b0ae7bceba037bfe8a85fb719

Observation 681a8020-43a1-4226-adc1-b85956972074 · inbound

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving cites this paper.

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 52

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verified exact
arxiv_id, observed 2026-07-03T16:28:39.297616Z

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=2026-06-27T05:35:01.339479Z digest=sha256:1646b69c49d5fdb9dfdcd97fb8c69952be1d860a88fc8e100dbef227a657db02

Observation ac507f63-11fa-4442-843c-49d1a8888416 · inbound

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving cites this paper.

GF-DiT: Scheduling Parallelism for Diffusion Transformer Serving Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 52

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verified exact
arxiv_id, observed 2026-07-03T23:59:06.237173Z

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=2026-07-03T23:50:39.241880Z digest=sha256:12758c99cc4beb4ad430a5687d6ddfd519c7c9cf0c685d1db187f5a03261d80a

Observation 1877b772-c90a-41dd-a3f5-0dfcea0f0edd · inbound

Pulling The REINS: Training-Free Safety Alignment of Video Diffusion Models via Representation Steering cites this paper.

Pulling The REINS: Training-Free Safety Alignment of Video Diffusion Models via Representation Steering Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 7

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verified exact
arxiv_id, observed 2026-07-03T17:48:45.923563Z

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=2026-06-27T03:44:36.071488Z digest=sha256:509551795ea0fd64f14b62f4a7a6e4f987701c16a22a1cad0c09f842d4048ba4

Observation e45895cf-ceea-407d-8868-265256749047 · inbound

Goku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing cites this paper.

Goku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 36

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arxiv_id, observed 2026-06-30T06:04:21.482838Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-06-30T06:00:24.487104Z digest=sha256:eb2d8e0af7d280cb61613c07e3ade03f0a26f3e968d285905944d0d38088766c

Observation 1eba214e-1841-4764-8369-e564eb593781 · inbound

Goku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing cites this paper.

Goku: A Million-Scale Universal Dataset and Benchmark for Instruction-Based Video Editing Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 35

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arxiv_id, observed 2026-07-01T06:35:29.265021Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-07-01T06:35:16.951243Z digest=sha256:494d1ec3c6280c5bd15a90145d76f746ca9783347eb2013fe488f54140ead6fd

Observation d6158cb4-ae52-4857-9ecc-c5bbf7d84dff · inbound

SPLIT: Training-Free AI-Generated and Partially Edited Video Detection via Spatial Patch-Level Incoherence and Temporal Roughness cites this paper.

SPLIT: Training-Free AI-Generated and Partially Edited Video Detection via Spatial Patch-Level Incoherence and Temporal Roughness Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 66

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no resolver link, observed 2026-07-12T06:22:35.545340Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T06:22:35.545340Z digest=sha256:856d6d1b156be87ee45d41f559f725042b401ab4405dec9d3bc2051df7f6f0c9

Observation c8465231-19bc-4364-bb0f-ef4413bb2645 · inbound

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence cites this paper.

From World Action Models to Embodied Brains: A Roadmap for Open-World Physical Intelligence Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 198

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no resolver link, observed 2026-07-14T03:51:24.547781Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-14T03:51:24.547781Z digest=sha256:a9c70f9f037c8f867d770a4a81bf15174de7f873b9ff2a529174cb638333a21d

Observation 3203101a-ac4c-4443-ab0f-8617b4b66545 · inbound

AgentHOI: Multi-Agent Reasoning for Human-Object-Interaction Video Generation via Implicit Representation Alignment cites this paper.

AgentHOI: Multi-Agent Reasoning for Human-Object-Interaction Video Generation via Implicit Representation Alignment Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 71

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no resolver link, observed 2026-08-01T05:27:20.659436Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T05:27:20.659436Z digest=sha256:c084d219e940677db7b485314f8cf21e04cc81d7175af218a6d4a9ed6c0ed2b8