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Paper Citation Record · LEDGER

MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2503.15875.

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

pith.paper-citation-record.v1
2503.15875 v1

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 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T18:31:52.859401Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:28:52.678672Z

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 be7e3203-b39a-418a-b278-d91624c3ecd6 · inbound

A Survey of World Models for Autonomous Driving cites this paper.

A Survey of World Models for Autonomous Driving MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving

Reference 189

Resolution
unresolved
no resolver link, observed 2026-08-10T18:31:52.859401Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T18:31:52.859401Z digest=sha256:0ca5e2a2a5543a633fc1219d416771128b867765eb1d3f2649fd011b95ccc49d

Observation cf12d541-a77e-45d6-b49d-d0f521364c61 · inbound

Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency cites this paper.

Genesis: Multimodal Driving Scene Generation with Spatio-Temporal and Cross-Modal Consistency MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T05:37:53.638574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:37:53.638574Z digest=sha256:0a70aa375dee2ce986cf1d77d4cfeae805ac930147de202b69a244aad8a74dfd

Observation 8e545574-60e8-406b-886e-35e734fb1c6e · inbound

A Comprehensive Survey on World Models for Embodied AI cites this paper.

A Comprehensive Survey on World Models for Embodied AI MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving

Reference 189

Resolution
unresolved
no resolver link, observed 2026-08-04T09:12:51.170969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:12:51.170969Z digest=sha256:7a4885d79b0270a754864af313d6c751739f0b181b016a2290378e7ad9effecf

Observation 8d96250c-ff24-4a40-9077-23ceb6a1f6d9 · inbound

DriveLaW:Unifying Planning and Video Generation in a Latent Driving World cites this paper.

DriveLaW:Unifying Planning and Video Generation in a Latent Driving World MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving

Reference 65

Resolution
verified exact
arxiv_id, observed 2026-05-16T19:38:21.098368Z

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=2026-05-16T19:34:39.518649Z digest=sha256:c065697e7cb74ead37ca1b1c7bfdd8073aaf02ce74ebd20b397d84f7c6af6d1e

Observation a3efb674-cd12-470d-a8b9-f27847ca759c · inbound

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms cites this paper.

Video Generation Models as World Models: Efficient Paradigms, Architectures and Algorithms MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving

Reference 186

Resolution
verified exact
arxiv_id, observed 2026-05-14T01:38:36.092693Z

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=2026-05-14T01:35:14.878069Z digest=sha256:e02fbbb40683b7e1b606340d13c2c90aa53d9e2275edcd91ca3d9fd6361c2a1b

Observation 405916ac-daa7-48cf-bda8-cb8b6c7270de · inbound

OmniDrive: An LLM-Choreographed Multi-Agent World Model with Unified Latent Co-Compression for Multi-View Driving Video Generation cites this paper.

OmniDrive: An LLM-Choreographed Multi-Agent World Model with Unified Latent Co-Compression for Multi-View Driving Video Generation MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-07-03T19:28:52.681357Z

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=2026-06-27T01:46:14.430539Z digest=sha256:0d41bcae616b433d3f006f12c6f1a78161069fd95618cda10e140d121cd5fec9

Observation 31d34379-0e60-45f8-bccf-0406bcdea0d3 · inbound

ReWorld: Learning Better Representations for World Action Models cites this paper.

ReWorld: Learning Better Representations for World Action Models MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-07-01T18:25:58.436508Z

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=2026-06-29T01:58:46.435886Z digest=sha256:247f89b9d16bb5780ff6b7954667376e0917ee3e42c2b2e0fc353496f98ee46d

Observation 184f62d1-a27f-4bc6-8716-06af52876d4c · inbound

Pondering the Way: Spatial-perceiving World Action Model for Embodied Navigation cites this paper.

Pondering the Way: Spatial-perceiving World Action Model for Embodied Navigation MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving

Reference 40

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T08:44:28.203811Z

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=2026-06-30T05:56:06.573264Z digest=sha256:c5290e55fd46209f978cab2b955c87646a3140f35ac33ef2636393e2b108c864

Observation 62af673d-4d06-4883-a2cc-f6169e189350 · inbound

UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation cites this paper.

UNIVERSE: Unified Video Action Models for Autonomous Driving with Flexible Mask-Modulated Modality Generation MiLA: Multi-view Intensive-fidelity Long-term Video Generation World Model for Autonomous Driving

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-11T08:19:04.131379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-11T08:19:04.131379Z digest=sha256:5a208220979bed3e991fb0607322dd7a1cedf7bfe207bc2098f288b17dc4d054