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Paper Citation Record · LEDGER

SceneDM: Scene-level Multi-agent Trajectory Generation with Consistent Diffusion Models

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2311.15736.

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

pith.paper-citation-record.v1
2311.15736 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T05:08:31.803663Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T15:24:19.414404Z

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 2e30f332-cac3-41e4-84d9-85a71342b334 · inbound

Robust Autonomy Emerges from Self-Play cites this paper.

Robust Autonomy Emerges from Self-Play SceneDM: Scene-level Multi-agent Trajectory Generation with Consistent Diffusion Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-09T05:08:31.803663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:08:31.803663Z digest=sha256:e42fc7ee00c1872aa9b86c515928c3dfac2d451474a15ebb87da189b1a0d3937

Observation 51688530-9167-41ae-b885-4e82c3a8132f · inbound

Rolling Ahead Diffusion for Traffic Scene Simulation cites this paper.

Rolling Ahead Diffusion for Traffic Scene Simulation SceneDM: Scene-level Multi-agent Trajectory Generation with Consistent Diffusion Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T21:03:25.633029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T21:03:25.633029Z digest=sha256:c51f727328704eaecd1088e5f6f85d5659ee83ea663f31bbbc6efd88306e9fae

Observation 6fc4a896-ddf1-4272-b25f-585199c28884 · inbound

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation cites this paper.

Direct Preference Optimization-Enhanced Multi-Guided Diffusion Model for Traffic Scenario Generation SceneDM: Scene-level Multi-agent Trajectory Generation with Consistent Diffusion Models

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-07T20:07:09.386606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T20:07:09.386606Z digest=sha256:36a5235141f5d3dab9e2737838851e716b76ad356433d05c9212be44ae795816

Observation aca475b8-324a-440b-9fb0-9faeffd7c27f · inbound

Generative AI for Testing of Autonomous Driving Systems: A Survey cites this paper.

Generative AI for Testing of Autonomous Driving Systems: A Survey SceneDM: Scene-level Multi-agent Trajectory Generation with Consistent Diffusion Models

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-08-05T15:24:19.419164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-05T15:24:15.616296Z digest=sha256:1364c491cb43abcd15f774f1f96931e047189d00d716e19c1ad1a1de517a4223