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Paper Citation Record · LEDGER

DreaMoving: A Human Video Generation Framework based on Diffusion Models

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2312.05107.

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

pith.paper-citation-record.v1
2312.05107 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 2026-08-12T06:34:41.77262+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T05:29:09.451438Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T07:27:08.901063Z

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 04e67aca-ee9a-4871-b989-29147ef204c4 · inbound

DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Poses cites this paper.

DreamDance: Animating Human Images by Enriching 3D Geometry Cues from 2D Poses DreaMoving: A Human Video Generation Framework based on Diffusion Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-12T05:29:09.451438Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T05:29:09.451438Z digest=sha256:45afe1b48dbc6bee459753bfcf6833680834820f90de5618f8efb6bceb9b8322

Observation 1e9d2733-fba6-490a-aacb-93f5261a68e9 · inbound

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation cites this paper.

FoundHand: Large-Scale Domain-Specific Learning for Controllable Hand Image Generation DreaMoving: A Human Video Generation Framework based on Diffusion Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T23:13:39.399358Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T23:13:39.399358Z digest=sha256:615afaf301dd4b61ca72d70d721506883505fd388ae06a443f170c0242d4a3bf

Observation 7e3136c8-8dd5-40fd-abf9-f1c597ca576e · inbound

DanceTogether! Identity-Preserving Multi-Person Interactive Video Generation cites this paper.

DanceTogether! Identity-Preserving Multi-Person Interactive Video Generation DreaMoving: A Human Video Generation Framework based on Diffusion Models

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T14:39:30.469507Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:39:30.469507Z digest=sha256:4cf6fc208c8d82dd9d1c11ac57619c6ebb582546570e64ecbc8b39022ec8bdcf

Observation a1d96c7d-546a-4316-aba7-3ef836fa1839 · inbound

Toward Rich Video Human-Motion2D Generation cites this paper.

Toward Rich Video Human-Motion2D Generation DreaMoving: A Human Video Generation Framework based on Diffusion Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T00:25:01.405171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:25:01.405171Z digest=sha256:840b47f5a0eef44df47ba923159ec9c006a5d08505f2aeceab788a3f5cd2671a

Observation 5833cf9c-ea0e-4167-b952-ddf3442a58a5 · inbound

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

GenHSI: Controllable Generation of Human-Scene Interaction Videos DreaMoving: A Human Video Generation Framework based on Diffusion Models

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:27:08.903461Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-19T07:25:41.219753Z digest=sha256:0fb86fb0a927a9f95c257bf5da5f6048717ec6472c4b2959eb82171863d56b1a

Observation dafcda37-a4f0-4a18-8f21-1a03e6c906f9 · inbound

Multi-human Interactive Talking Dataset cites this paper.

Multi-human Interactive Talking Dataset DreaMoving: A Human Video Generation Framework based on Diffusion Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T04:46:04.059505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T04:46:04.059505Z digest=sha256:dce744b687ac5001d0139a0bb25f1a14aea9fa00c3a3e9197bde605cc50da5a1

Observation 0aa3248d-5c1b-43a6-8876-4d88a106f95d · inbound

Human Motion Video Generation: A Survey cites this paper.

Human Motion Video Generation: A Survey DreaMoving: A Human Video Generation Framework based on Diffusion Models

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-05T10:36:55.542297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T10:36:55.542297Z digest=sha256:6b5815a5098d334e2a57ab99865ea26c9e5703e80baaf7265f2a878c6bb48ecb

Observation 339ea6e1-47af-48cb-8759-9b785e90ef96 · inbound

ATSS: Detecting AI-Generated Videos via Anomalous Temporal Self-Similarity cites this paper.

ATSS: Detecting AI-Generated Videos via Anomalous Temporal Self-Similarity DreaMoving: A Human Video Generation Framework based on Diffusion Models

Reference 67

Resolution
verified exact
orphan_title_repair, observed 2026-05-13T17:18:52.406883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-13T17:15:14.018979Z digest=sha256:ee9f0007cdd782eb4480fc0c5be5b73aef4b61be025098aff83e92b7a22cf550

Observation 02f21e21-8007-4796-857b-e00542680eea · inbound

CMTA: Leveraging Cross-Modal Temporal Artifacts for Generalizable AI-Generated Video Detection cites this paper.

CMTA: Leveraging Cross-Modal Temporal Artifacts for Generalizable AI-Generated Video Detection DreaMoving: A Human Video Generation Framework based on Diffusion Models

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:16:10.011034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-09T20:22:00.777817Z digest=sha256:c188cd5dc8ca829c3c81ab7843afd79e29ca9196a3235bf15aa68f43436379ad