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Paper Citation Record · LEDGER

LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2412.09856.

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

pith.paper-citation-record.v1
2412.09856 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:03:20.460990Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-19T07:27:08.875128Z

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 0b237622-2fa2-45f5-8386-99bd91f8cf11 · inbound

Long-Context State-Space Video World Models cites this paper.

Long-Context State-Space Video World Models LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T14:03:20.460990Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:03:20.460990Z digest=sha256:da2ba5f7ef2e9b65a4c1c055a4121140a63e875cfc760cbadcbb09a3632580f1

Observation 0c076b86-9971-4220-859b-86de36be2480 · inbound

Video World Models with Long-term Spatial Memory cites this paper.

Video World Models with Long-term Spatial Memory LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T10:28:41.279115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:28:41.279115Z digest=sha256:6c14bf4b1b2da38c46bed6e09be420e1936c0fa47653eb9e57babc017932bd20

Observation de71e09f-eb27-4bd3-bf72-0227ef3f457e · inbound

Exploring Diffusion Transformer Designs via Grafting cites this paper.

Exploring Diffusion Transformer Designs via Grafting LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T10:29:04.156409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:29:04.156409Z digest=sha256:d31b211fa1107828e365224b64366439b534538e3f716219030d6535fde8de3f

Observation a8fe1376-17c3-4580-a606-0c671997fc7a · inbound

M4V: Multimodal Mamba for Efficient Text-to-Video Generation cites this paper.

M4V: Multimodal Mamba for Efficient Text-to-Video Generation LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-07T04:21:19.044277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:21:19.044277Z digest=sha256:b606f2399616ea347689d61d8a088397d168ceafeb2c86e3c49d854f3e4815cb

Observation d2d1e529-6b84-4fb0-92c2-28dede2602f8 · inbound

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

GenHSI: Controllable Generation of Human-Scene Interaction Videos LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity

Reference 80

Resolution
verified exact
arxiv_id, observed 2026-05-19T07:27:08.877210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-19T07:25:41.219753Z digest=sha256:4d07ad1488ad88ada2b3df49bb3ceefb0b4a57bb37b06b787c5db2bf55678834

Observation 17f7f2af-7ba3-415a-84f0-f6c164e11758 · inbound

VMoBA: Mixture-of-Block Attention for Video Diffusion Models cites this paper.

VMoBA: Mixture-of-Block Attention for Video Diffusion Models LinGen: Towards High-Resolution Minute-Length Text-to-Video Generation with Linear Computational Complexity

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T21:34:04.914075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:34:04.914075Z digest=sha256:780b899676990d0dbddb9a52a4916dd535dbb6e13e77244780ea4acdf815b762