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Paper Citation Record · LEDGER

Drive-1-to-3: Enriching Diffusion Priors for Novel View Synthesis of Real Vehicles

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2412.14494.

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

pith.paper-citation-record.v1
2412.14494 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:12:26.350171Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T19:10:05.779251Z

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 2eea4b1e-9794-4cac-95ab-09cf3f28280a · inbound

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation cites this paper.

Reference-Guided Diffusion Inpainting For Multimodal Counterfactual Generation Drive-1-to-3: Enriching Diffusion Priors for Novel View Synthesis of Real Vehicles

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T11:12:26.350171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:12:26.350171Z digest=sha256:23af4a83ea2e005f9fb3451b37da1f5cacb08d7a11577d251338aeb2132e1d93

Observation 9d765199-ce08-47b6-88b9-4eefa1150293 · inbound

ArbiViewGen: Controllable Arbitrary Viewpoint Camera Data Generation for Autonomous Driving via Stable Diffusion Models cites this paper.

ArbiViewGen: Controllable Arbitrary Viewpoint Camera Data Generation for Autonomous Driving via Stable Diffusion Models Drive-1-to-3: Enriching Diffusion Priors for Novel View Synthesis of Real Vehicles

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T23:32:44.549878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T23:32:44.549878Z digest=sha256:ddff4e04ed5c74baaa13b5d638673d663233ca183b3ec35bbfd104974b7ec7f3

Observation a5ab9fc4-78e8-4423-bbd4-27dff2bb1b11 · inbound

3DCarGen: Scalable 3D Car Generation via 3D-consistent Multi-view Synthesis cites this paper.

3DCarGen: Scalable 3D Car Generation via 3D-consistent Multi-view Synthesis Drive-1-to-3: Enriching Diffusion Priors for Novel View Synthesis of Real Vehicles

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:39:57.885547Z

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=2026-06-26T00:21:05.805362Z digest=sha256:4043df35bc662812f63d634137945f4345ca51b921f64460cec2180d44c22e19

Observation a9172837-9b1c-456b-90ac-419873abd593 · inbound

3DCarGen: Scalable 3D Car Generation via 3D-consistent Multi-view Synthesis cites this paper.

3DCarGen: Scalable 3D Car Generation via 3D-consistent Multi-view Synthesis Drive-1-to-3: Enriching Diffusion Priors for Novel View Synthesis of Real Vehicles

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-06-30T10:04:35.915471Z

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=2026-06-30T10:01:57.323665Z digest=sha256:91d6d2bf50145fcac6661cfc1bb149da6636abe9bf5da52a0b253b072738bd29

Observation ac0b25d9-098d-451a-a256-a25d9202d020 · inbound

MM-TRELLIS: Point-Cloud Guided Multi-Modal 3D Vehicle Generation in Autonomous Driving cites this paper.

MM-TRELLIS: Point-Cloud Guided Multi-Modal 3D Vehicle Generation in Autonomous Driving Drive-1-to-3: Enriching Diffusion Priors for Novel View Synthesis of Real Vehicles

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-07-04T16:09:56.666893Z

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=2026-06-26T00:57:25.858705Z digest=sha256:d19882569fb1b4384a170713f9174ca42d753f3b17b0673c8de077940c7501d1

Observation fa9ccc9d-64a8-4928-b63d-91883f02d842 · inbound

HiFiVe: High-Fidelity Vehicle Generation Leveraging Auto-Regressive 2D Generative Priors cites this paper.

HiFiVe: High-Fidelity Vehicle Generation Leveraging Auto-Regressive 2D Generative Priors Drive-1-to-3: Enriching Diffusion Priors for Novel View Synthesis of Real Vehicles

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-07-04T19:10:05.781830Z

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=2026-06-25T21:36:14.886753Z digest=sha256:b2f78a0e5594038040bd7cebae16e58b8c45498bdf8ba8afd4921a11d3cbb49d

Observation fc8b8ae0-99bf-4b2d-ab4c-9e2d14e713b5 · inbound

HiFiVe: High-Fidelity Vehicle Generation Leveraging Auto-Regressive 2D Generative Priors cites this paper.

HiFiVe: High-Fidelity Vehicle Generation Leveraging Auto-Regressive 2D Generative Priors Drive-1-to-3: Enriching Diffusion Priors for Novel View Synthesis of Real Vehicles

Reference 37

Resolution
verified exact
arxiv_id, observed 2026-06-30T09:44:37.294655Z

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=2026-06-30T09:43:28.338150Z digest=sha256:71dc6fc137e4fcbbdc5151cc559bc21508068d1f26bca0222ff58a4dd742162d