Paper Citation Record · LEDGER

Multi-subject Open-set Personalization in Video Generation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2501.06187.

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

pith.paper-citation-record.v1
2501.06187 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:59:28.849584Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T17:51:54.362769Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f097658e-d376-4571-8ddb-72a65189fca4 · inbound

Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute cites this paper.

Learning Zero-Shot Subject-Driven Video Generation Using 1% Compute Multi-subject Open-set Personalization in Video Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-22T17:51:54.365845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 08a4a1b2-29ee-4e32-b9c5-a14526531a4f · 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 Multi-subject Open-set Personalization in Video Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:59:28.849584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation da75d926-c224-400f-916a-84cd7e90880d · inbound

AnimeShooter: A Multi-Shot Animation Dataset for Reference-Guided Video Generation cites this paper.

AnimeShooter: A Multi-Shot Animation Dataset for Reference-Guided Video Generation Multi-subject Open-set Personalization in Video Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T11:12:07.805412Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7ee9805-6d3c-4c63-8ac3-f8620a328848 · 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 Multi-subject Open-set Personalization in Video Generation

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:30:32.900997Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aa3db6b1-61e1-4f0c-991e-e3d4180e669c · inbound

DreamActor-H1: High-Fidelity Human-Product Demonstration Video Generation via Motion-designed Diffusion Transformers cites this paper.

DreamActor-H1: High-Fidelity Human-Product Demonstration Video Generation via Motion-designed Diffusion Transformers Multi-subject Open-set Personalization in Video Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T04:27:35.830106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ccb1ac78-a014-4123-8381-65deac622c07 · inbound

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset cites this paper.

Phantom-Data : Towards a General Subject-Consistent Video Generation Dataset Multi-subject Open-set Personalization in Video Generation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:07.898058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a41d63e8-a50f-4d6d-b081-8964572aa162 · inbound

GenHSI: Controllable Generation of Human-Scene Interaction Videos cites this paper.

GenHSI: Controllable Generation of Human-Scene Interaction Videos Multi-subject Open-set Personalization in Video Generation

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T07:27:08.962058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9a6c98ec-89b8-4676-9790-ba98b2e8c4de · inbound

Tora2: Motion and Appearance Customized Diffusion Transformer for Multi-Entity Video Generation cites this paper.

Tora2: Motion and Appearance Customized Diffusion Transformer for Multi-Entity Video Generation Multi-subject Open-set Personalization in Video Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T19:19:32.696568Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b628618b-7255-4bc4-80de-4bc6fcfeab46 · inbound

Evolution of Video Generative Foundations cites this paper.

Evolution of Video Generative Foundations Multi-subject Open-set Personalization in Video Generation

Reference 201

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:05:51.199745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.