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Paper Citation Record · LEDGER

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors

As of 19 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2608.12203.

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

pith.paper-citation-record.v1
2608.12203 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:16:32.443692Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

62 of 62 outbound references displayed

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  • unresolved41
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e8e11239-7126-41ef-87e7-85d805b08434 · outbound

This paper cites an unresolved cited work.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Unresolved cited work

Reference 1

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 7ba299be-4b1d-4035-b656-d23a6a272bf6 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 2

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Observation 36e51274-10a4-46b3-bf24-2e4a90c1d66a · outbound

This paper cites GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors GeoDrive: 3D Geometry-Informed Driving World Model with Precise Action Control

Reference 3

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Observation 59d6210d-435a-480e-a12d-234d91e15bc1 · outbound

This paper cites UniMLVG: Unified Framework for Multi-view Long Video Generation with Comprehensive Control Capabilities for Autonomous Driving.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors UniMLVG: Unified Framework for Multi-view Long Video Generation with Comprehensive Control Capabilities for Autonomous Driving

Reference 4

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Observation 7fcab31f-3763-440e-8c73-42a3a13b7ba7 · outbound

This paper cites arXiv preprint arXiv:2502.03500 (2025) 16 J.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors arXiv preprint arXiv:2502.03500 (2025) 16 J

Reference 5

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Observation 06d2cf4a-625d-49d1-90dc-ec601f672e88 · outbound

This paper cites GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors GaussianDWM: 3D Gaussian Driving World Model for Unified Scene Understanding and Multi-Modal Generation

Reference 6

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Observation 81a6c2c2-7a61-4738-afc9-f5f6b962c4cb · outbound

This paper cites Advances in Neural Information Processing Systems 38, 32551–32576 (2026).

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Advances in Neural Information Processing Systems 38, 32551–32576 (2026)

Reference 7

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation adeeb5b5-c58e-41c5-8183-9afc9e1c50cd · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 8

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 9baba3e6-18c3-4ece-8509-5da82e7d81e6 · outbound

This paper cites MagicDrive: Street View Generation with Diverse 3D Geometry Control.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors MagicDrive: Street View Generation with Diverse 3D Geometry Control

Reference 9

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Observation 1dcee241-b5c3-4649-8ee7-6fe39e9a0083 · outbound

This paper cites Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving

Reference 10

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Observation 7bf7773a-e166-4f03-ba1b-caf6effd7367 · outbound

This paper cites Communications of the ACM63(11), 139–144 (2020).

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Communications of the ACM63(11), 139–144 (2020)

Reference 11

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Observation e3d2ffb3-846e-48b5-b001-29133c257328 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 12

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation d72a41de-0434-4c0f-b397-d6fd3841f2b0 · outbound

This paper cites In: Pro- ceedings of the AAAI Conference on Artificial Intelligence.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Pro- ceedings of the AAAI Conference on Artificial Intelligence

Reference 13

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:16:32.229740Z digest=sha256:da629bcb244dc813d519e74dba5466c386540ca07d1d15cff6937b0fc4d1c6d9

Observation 903bc2b4-cb23-44e6-a1cc-88dccd43c476 · outbound

This paper cites CameraCtrl: Enabling Camera Control for Text-to-Video Generation.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors CameraCtrl: Enabling Camera Control for Text-to-Video Generation

Reference 14

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Observation 457ae2c8-8415-42ef-adf8-8228a8ae6ed3 · outbound

This paper cites Advances in neural information processing systems33, 6840–6851 (2020).

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Advances in neural information processing systems33, 6840–6851 (2020)

Reference 15

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source=pdf_text observed=2026-08-16T00:16:32.238520Z digest=sha256:7398e3aa97157f8216a02730f6ce4851afadba8d5f3bc44a9f917e42e93a294d

Observation 00420434-a995-45b8-98e7-55a267ece946 · outbound

This paper cites Training-free Camera Control for Video Generation.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Training-free Camera Control for Video Generation

Reference 16

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Observation 07dbc912-e3e0-460d-ab26-a4ef5de56f64 · outbound

This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Reference 17

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Observation 1d788aee-af53-4190-9cab-fd2e77f8791c · outbound

This paper cites MapAnything: Universal Feed-Forward Metric 3D Reconstruction.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors MapAnything: Universal Feed-Forward Metric 3D Reconstruction

Reference 18

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Observation d267a853-1510-4eca-9346-b4ff75cb723c · outbound

This paper cites ACM Trans.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors ACM Trans

Reference 19

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Observation a3b437b4-b879-4fb2-8f5e-7921fa39268c · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 20

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Observation cee46afa-30eb-414e-a071-1769b4750e28 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2026) GeoFlow 17.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors IEEE Transactions on Pattern Analysis and Machine Intelligence (2026) GeoFlow 17

Reference 21

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 5757a661-c4ca-47da-bea8-6bf8dc43e292 · outbound

This paper cites Advances in Neural Information Processing Systems38, 108809–108837 (2026).

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Advances in Neural Information Processing Systems38, 108809–108837 (2026)

Reference 22

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Observation 7e50ecf7-fc3e-49ab-bbdc-2e66825f6f97 · outbound

This paper cites Depth Anything 3: Recovering the Visual Space from Any Views.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Depth Anything 3: Recovering the Visual Space from Any Views

Reference 23

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Observation 6ba37a75-b3f7-40d2-819f-2a11ca2f45e8 · outbound

This paper cites Flow Matching for Generative Modeling.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Flow Matching for Generative Modeling

Reference 24

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Observation 03f59ddc-7aa8-471a-af2c-3cd07918d691 · outbound

This paper cites Generative Video Bi-flow.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Generative Video Bi-flow

Reference 25

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Observation 20ba6e90-90db-4c05-a285-0d8fc4dd12f9 · outbound

This paper cites Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

Reference 26

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Observation b84d54e7-9569-4aba-a555-5a46f641536e · outbound

This paper cites Advances in neural information processing systems35, 5775–5787 (2022).

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Advances in neural information processing systems35, 5775–5787 (2022)

Reference 27

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Observation c5c4f59e-3731-4c50-ade6-d735877a9ffe · outbound

This paper cites In: European conference on computer vi- sion.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: European conference on computer vi- sion

Reference 28

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 1f8ff53d-3fdd-467e-82a8-616f9b885fcb · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 29

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raw_fallback, observed 2026-08-16T00:16:33.125269Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:16:32.302445Z digest=sha256:09e8fad221ed1ccd255246eeecaf86f72b9fa6c39e4aa89539743261282f0f59

Observation 20e8387c-c99b-4391-93d7-e763bb2e99e3 · outbound

This paper cites PnP-Flow: Plug-and-Play Image Restoration with Flow Matching.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors PnP-Flow: Plug-and-Play Image Restoration with Flow Matching

Reference 30

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Observation d89c3e24-c23b-40e6-b4b1-2029f81d448f · outbound

This paper cites DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors DreamForge: Motion-Aware Autoregressive Video Generation for Multi-View Driving Scenes

Reference 31

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Observation cb09bbb5-81b6-41c3-a961-508c7c7f4b2c · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 32

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raw_fallback, observed 2026-08-16T00:16:33.111667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 27cf0ce0-94d8-4f59-9bb7-ebca1becdb1d · outbound

This paper cites In: Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence

Reference 33

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raw_fallback, observed 2026-08-16T00:16:33.097000Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 23332b72-099b-4813-9ced-91dccf1742b4 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 34

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raw_fallback, observed 2026-08-16T00:16:33.083682Z

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No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:16:32.324640Z digest=sha256:8e09b7b65c484af1ccff899d3c87da4ed4baa01d4c36d3f869082028fbb87227

Observation a49b3352-8205-44b5-a64b-0c7da1aed176 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 35

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Observation ebcc76c0-6b02-4534-bbd7-0e7ff8c7c7ff · outbound

This paper cites Progressive Distillation for Fast Sampling of Diffusion Models.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Progressive Distillation for Fast Sampling of Diffusion Models

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:16:32.333191Z digest=sha256:b177a308509bdff2486e660277dc483e2fbc9519965a938c3764401aacf27b79

Observation 96ee5267-e2c5-4555-a462-4a43c10ae610 · outbound

This paper cites Denoising Diffusion Implicit Models.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Denoising Diffusion Implicit Models

Reference 37

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no resolver link, observed 2026-08-16T00:16:32.337835Z

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source=pdf_text observed=2026-08-16T00:16:32.337835Z digest=sha256:9faeb875b916e815d8827a1474fd4938142c573d16642026f01b0f0981708d59

Observation 26888a17-3523-48c1-9d1b-0a3d9f897f4b · outbound

This paper cites an unresolved cited work.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Unresolved cited work

Reference 38

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no resolver link, observed 2026-08-16T00:16:32.342590Z

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source=pdf_text observed=2026-08-16T00:16:32.342590Z digest=sha256:3f9cf57a6b689eb61c7672e3c407ba0eb6fc4943f0b365f8536da341aaf57749

Observation 76eae185-a21d-4b70-81fa-95c97137bbe8 · outbound

This paper cites In: European conference on computer vision.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: European conference on computer vision

Reference 39

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verified fuzzy
raw_fallback, observed 2026-08-16T00:16:33.052817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:16:32.346925Z digest=sha256:8577eb809bd32e39c92105f31543baa2ffcb7e9a0d98fe6b5fb45b4de56b0d40

Observation b1845bb1-d696-4f4c-b86c-1bcde1e28648 · outbound

This paper cites Residual Diffusion Bridge Model for Image Restoration.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Residual Diffusion Bridge Model for Image Restoration

Reference 40

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no resolver link, observed 2026-08-16T00:16:32.351495Z

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source=pdf_text observed=2026-08-16T00:16:32.351495Z digest=sha256:e9f81c4a5a652a8747e539d5f0af6abdadabbbc43086a63a052d23e4d9f572c5

Observation b5ca552d-a15d-460e-9b8a-0ed95a47e32a · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 41

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no resolver link, observed 2026-08-16T00:16:32.355897Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T00:16:32.355897Z digest=sha256:0509d5725833d18e1f32d80b8db7115ad35b5c51c0ced966e505a56c310e16d5

Observation 92f4ef73-9d80-41c0-b9cb-f82feacad60c · outbound

This paper cites VideoLCM: Video Latent Consistency Model.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors VideoLCM: Video Latent Consistency Model

Reference 42

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no resolver link, observed 2026-08-16T00:16:32.360185Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T00:16:32.360185Z digest=sha256:6ea901f060f1da13aa36e4b75cb08c2126f0f9a9fa0a247fb5111a4bd0325290

Observation 658ed9bc-7080-4c63-abc7-c9ac8a3473b0 · outbound

This paper cites In: European conference on computer vision.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: European conference on computer vision

Reference 43

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source=pdf_text observed=2026-08-16T00:16:32.364731Z digest=sha256:6e00ce969430ca19d5c8f7841723e9daca4ef757faadc7ddc9162c8e3aec0e58

Observation df2ecad3-d445-4e7c-adbf-7d1e52a42ce4 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 44

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source=pdf_text observed=2026-08-16T00:16:32.368684Z digest=sha256:c02a11c92e41355cbf2555ca2ef2bafce706a58d375103bb48b625a63b3115ab

Observation 784f7680-cb1c-452c-af50-386f541192e1 · outbound

This paper cites In: Proceed- ings of the Computer Vision and Pattern Recognition Conference.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceed- ings of the Computer Vision and Pattern Recognition Conference

Reference 45

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verified fuzzy
raw_fallback, observed 2026-08-16T00:16:33.012934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:16:32.373149Z digest=sha256:035ad91c048838e22f72397b11d43eb473cc123a6327e803f520847610e66696

Observation 03dc79a2-694d-4b69-9fb5-3c39f26caff8 · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 46

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no resolver link, observed 2026-08-16T00:16:32.377211Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:16:32.377211Z digest=sha256:57487032282a3c771e529f363a0889036e00627f3cf8ce43b6c19ae0470c7bb8

Observation 65895022-5d56-4fc3-8f02-396b191e9e30 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 47

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verified fuzzy
raw_fallback, observed 2026-08-16T00:16:32.990777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:16:32.381173Z digest=sha256:282ccb759cec16e82049b888152b7169a5777ff132a9ab573b7b9865ab7c98f1

Observation 3d163f5e-07bb-4068-a6bf-3687b74137ec · outbound

This paper cites In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the IEEE/CVF conference on computer vision and pattern recognition

Reference 48

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no resolver link, observed 2026-08-16T00:16:32.385185Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T00:16:32.385185Z digest=sha256:c1d3b37256577f214bfe65ddee65468683c748d9fadc545f5e35a0d2b1515838

Observation 077ca9db-380d-4f11-9c5e-fbdb17d7b571 · outbound

This paper cites In: Pro- ceedings of the Computer Vision and Pattern Recognition Conference.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Pro- ceedings of the Computer Vision and Pattern Recognition Conference

Reference 49

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no resolver link, observed 2026-08-16T00:16:32.389297Z

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source=pdf_text observed=2026-08-16T00:16:32.389297Z digest=sha256:6c7d7942689e33a74276e0a297b4a9924bad3c8f262ad8032e2189ab6cf51a9f

Observation cde1a04a-794b-4c9b-bb1a-17f0fbe40a06 · outbound

This paper cites ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors ViewCrafter: Taming Video Diffusion Models for High-fidelity Novel View Synthesis

Reference 50

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source=pdf_text observed=2026-08-16T00:16:32.393364Z digest=sha256:75c32ebd07805dd33eb9011d1ef87b8b92e7ca8287d846f44a115f28894d998e

Observation 4ea47536-5544-41f0-bfb2-9f51fdafc0fc · outbound

This paper cites In: ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 51

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verified fuzzy
raw_fallback, observed 2026-08-16T00:16:32.960179Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:16:32.398119Z digest=sha256:afe0e87667ccdb894f7fde86529f1ef4ae297a7c086587781c277bf41b7d175a

Observation bbc196b1-77f3-49b4-9fb2-d6ba1616f987 · outbound

This paper cites Advances in Neural Information Processing Systems 36, 13294–13307 (2023).

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Advances in Neural Information Processing Systems 36, 13294–13307 (2023)

Reference 52

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no resolver link, observed 2026-08-16T00:16:32.401942Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-16T00:16:32.401942Z digest=sha256:f694950ee0432583110681c6cbd191ef2fb3bc142cc0d6c2f739fdca2ff08d4c

Observation 75565436-f735-4728-93bd-1a56cb385471 · outbound

This paper cites In: ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:16:32.937405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:16:32.406017Z digest=sha256:17d7d3d9440588d0b0db2b9416f8a1d59fb619fdc45203f6fc5fa158df19156d

Observation 445a0a24-cd26-4e8b-a699-5a8bde6ec923 · outbound

This paper cites In: European conference on computer vision.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: European conference on computer vision

Reference 54

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no resolver link, observed 2026-08-16T00:16:32.410297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:16:32.410297Z digest=sha256:6947959fd793c03b344aaa99564ed7843b800bbd909a860981816ac3e25e44c9

Observation 03eaede2-9e19-422e-9e7a-a199fbeb42f8 · outbound

This paper cites Advances in Neural Information Processing Systems38, 67934–67960 (2026) GeoFlow 19.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Advances in Neural Information Processing Systems38, 67934–67960 (2026) GeoFlow 19

Reference 55

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raw_fallback, observed 2026-08-16T00:16:32.915587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:16:32.414329Z digest=sha256:5d9c81018c77e42c9e29f30580c9bcd1628b1d2d461dd82f86122005ee40d10b

Observation f8f35b78-0b00-4a52-b19c-9aa0e17eba2c · outbound

This paper cites Advances in Neural Information Processing Systems37, 103599–103618 (2024).

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Advances in Neural Information Processing Systems37, 103599–103618 (2024)

Reference 56

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verified fuzzy
raw_fallback, observed 2026-08-16T00:16:32.902095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:16:32.418456Z digest=sha256:796f798a6ecb8dfbd883195b28061b9548a1c7a08b52a87adc6b2bf8a82331e1

Observation 00940cbd-bc02-4e9d-a539-edecc9ec3971 · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Com- puter Vision.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the IEEE/CVF International Conference on Com- puter Vision

Reference 57

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verified fuzzy
raw_fallback, observed 2026-08-16T00:16:32.887978Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:16:32.422517Z digest=sha256:3284ee31066e1f0a9c60f3692efaaa81597113f0ca2c3c7f501bbf231d958923

Observation b93cbae3-ca83-4c0a-97f3-f5a03063bc67 · outbound

This paper cites In: Proceedings of the Computer Vision and Pattern Recognition Conference.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the Computer Vision and Pattern Recognition Conference

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:16:32.873747Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-16T00:16:32.426465Z digest=sha256:3c3dc7f0592ccb8121c5bd88c2a25d6003e851395865f892cec13f2e5f300d3f

Observation 156a2cf9-e43e-455b-9e56-013f0972eb03 · outbound

This paper cites ReconDreamer++: Harmonizing Generative and Reconstructive Models for Driving Scene Representation.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors ReconDreamer++: Harmonizing Generative and Reconstructive Models for Driving Scene Representation

Reference 59

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no resolver link, observed 2026-08-16T00:16:32.430908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:16:32.430908Z digest=sha256:3f2ad2c0837e6e3c55e891a64719318f54c95478d4d052e23ff456e6b4561bae

Observation c5b6335e-1c9d-4363-b70d-526aa5d2f5bc · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 60

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no resolver link, observed 2026-08-16T00:16:32.435211Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:16:32.435211Z digest=sha256:30561e6f8a92aa76f5f7b4d6335ca7dd568f1f7f6b202ab4d75f13e1d7ac734b

Observation bb626954-fdb9-41fb-8605-f6d309f20f68 · outbound

This paper cites Advances in Neural Information Processing Systems36, 49842–49869 (2023).

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Advances in Neural Information Processing Systems36, 49842–49869 (2023)

Reference 61

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no resolver link, observed 2026-08-16T00:16:32.439452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:16:32.439452Z digest=sha256:4600f92b379022a0a77dff90843caf2008deaf2b4c2a9d220cddd2dc348c69b4

Observation 7772ab12-3a83-45cc-bb6e-80ff119cbb6f · outbound

This paper cites Denoising Diffusion Bridge Models.

GeoFlow: Efficient Driving Video Generation via Geometry-Aligned Priors Denoising Diffusion Bridge Models

Reference 62

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no resolver link, observed 2026-08-16T00:16:32.443692Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T00:16:32.443692Z digest=sha256:b29f194b820a6d890145b9a5915006120268f2be4b97f853a99d50a91cffda8a

Pith citing papers

No inbound Pith citation observations are available.