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Paper Citation Record · LEDGER

Post-Training Quantization for Video Matting

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2506.10840.

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

pith.paper-citation-record.v1
2506.10840 v1

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:22:44.210220Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

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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

35 of 35 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 360cce72-ea5d-4b53-b5d2-2cab075c24f3 · outbound

This paper cites Robust high-resolution video matting with temporal guidance,.

Post-Training Quantization for Video Matting Robust high-resolution video matting with temporal guidance,

Reference 1

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Observation c77fb04d-f3b4-4993-b342-9c4b30faf41b · outbound

This paper cites Designing effective inter-pixel information flow for natural image matting,.

Post-Training Quantization for Video Matting Designing effective inter-pixel information flow for natural image matting,

Reference 2

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Observation 7ba84210-ba13-4972-9b1d-130a748f0943 · outbound

This paper cites A geodesic framework for fast interactive image and video segmentation and matting,.

Post-Training Quantization for Video Matting A geodesic framework for fast interactive image and video segmentation and matting,

Reference 3

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Observation 32034ca1-c0ff-4468-9059-66053c131773 · outbound

This paper cites Knn matting,.

Post-Training Quantization for Video Matting Knn matting,

Reference 4

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Source-reported events for the cited work

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Observation 938df261-333d-4278-ba37-8771792c1ba2 · outbound

This paper cites A bayesian approach to digital matting,.

Post-Training Quantization for Video Matting A bayesian approach to digital matting,

Reference 5

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Source-reported events for the cited work

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Observation ec1b7aac-19ea-49f0-a006-4f66cca568e4 · outbound

This paper cites A cluster sampling method for image matting via sparse coding,.

Post-Training Quantization for Video Matting A cluster sampling method for image matting via sparse coding,

Reference 6

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Source-reported events for the cited work

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Observation 61949ed3-f038-47e0-b4fe-7dfa2a20d3a7 · outbound

This paper cites Vmformer: End-to-end video matting with transformer,.

Post-Training Quantization for Video Matting Vmformer: End-to-end video matting with transformer,

Reference 7

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Observation 72ef73b0-1f91-4b72-a4a3-0442f875d082 · outbound

This paper cites Deep video matting via spatio-temporal alignment and aggregation,.

Post-Training Quantization for Video Matting Deep video matting via spatio-temporal alignment and aggregation,

Reference 8

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Source-reported events for the cited work

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Observation 7e850b8c-3042-45d2-aab2-3ad6e7954139 · outbound

This paper cites Attention- guided temporally coherent video object matting,.

Post-Training Quantization for Video Matting Attention- guided temporally coherent video object matting,

Reference 9

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Source-reported events for the cited work

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Observation f9e03841-193c-41b5-a08e-c468d41e70c1 · outbound

This paper cites Real-time high-resolution background matting,.

Post-Training Quantization for Video Matting Real-time high-resolution background matting,

Reference 10

Resolution
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Source-reported events for the cited work

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Observation 1c7ba33a-d872-4be5-83b3-812beae55588 · outbound

This paper cites Background matting: The world is your green screen,.

Post-Training Quantization for Video Matting Background matting: The world is your green screen,

Reference 11

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Source-reported events for the cited work

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Observation 1adbc3fa-30c4-4b5c-afe6-2d4f5eb9017b · outbound

This paper cites Spherical space feature decomposition for guided depth map super-resolution,.

Post-Training Quantization for Video Matting Spherical space feature decomposition for guided depth map super-resolution,

Reference 12

Resolution
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Source-reported events for the cited work

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Observation b7a0666c-48ce-4d13-837e-729b9ca398cd · outbound

This paper cites Discrete cosine transform network for guided depth map super-resolution,.

Post-Training Quantization for Video Matting Discrete cosine transform network for guided depth map super-resolution,

Reference 13

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Source-reported events for the cited work

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Observation 1cfd16e2-9bb8-4691-861e-be9d7a0eb17c · outbound

This paper cites Deep convolutional sparse coding networks for interpretable image fusion,.

Post-Training Quantization for Video Matting Deep convolutional sparse coding networks for interpretable image fusion,

Reference 14

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Source-reported events for the cited work

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Observation 8a6e380e-9cda-457c-9bca-8f4e46afe8d1 · outbound

This paper cites Efficient and model-based infrared and visible image fusion via algorithm unrolling,.

Post-Training Quantization for Video Matting Efficient and model-based infrared and visible image fusion via algorithm unrolling,

Reference 15

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Source-reported events for the cited work

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Observation 4a7b3adf-1b36-4516-8e72-903c2dee350b · outbound

This paper cites Ddfm: denoising diffusion model for multi-modality image fusion,.

Post-Training Quantization for Video Matting Ddfm: denoising diffusion model for multi-modality image fusion,

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 4b196bee-e7c7-4114-be20-695bb7bd9c97 · outbound

This paper cites Vitmatte: Boosting image matting with pre-trained plain vision transformers,.

Post-Training Quantization for Video Matting Vitmatte: Boosting image matting with pre-trained plain vision transformers,

Reference 17

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Source-reported events for the cited work

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Observation 7c59bfae-ad04-4d35-ba4a-95a2027f7052 · outbound

This paper cites Quantization and training of neural networks for efficient integer-arithmetic-only inference,.

Post-Training Quantization for Video Matting Quantization and training of neural networks for efficient integer-arithmetic-only inference,

Reference 18

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Source-reported events for the cited work

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Observation 891397a8-b08a-4fef-a87d-ef11bbda50a2 · outbound

This paper cites A White Paper on Neural Network Quantization.

Post-Training Quantization for Video Matting A White Paper on Neural Network Quantization

Reference 19

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Observation 1fe3b20c-1d43-42ec-bd22-0ec514660f17 · outbound

This paper cites A survey of quantiza- tion methods for efficient neural network inference,.

Post-Training Quantization for Video Matting A survey of quantiza- tion methods for efficient neural network inference,

Reference 20

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Source-reported events for the cited work

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Observation 9680c4ef-d5a1-47e5-af00-196871d51447 · outbound

This paper cites Batch normalization: Accelerating deep network training by reducing internal covariate shift,.

Post-Training Quantization for Video Matting Batch normalization: Accelerating deep network training by reducing internal covariate shift,

Reference 21

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Source-reported events for the cited work

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Observation 8eaa3b54-495b-457b-abfb-a1616240492d · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow,.

Post-Training Quantization for Video Matting Raft: Recurrent all-pairs field transforms for optical flow,

Reference 22

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Observation d5114fb1-569f-4b0b-99fd-0904d08ae8fb · outbound

This paper cites Determining optical flow,.

Post-Training Quantization for Video Matting Determining optical flow,

Reference 23

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Source-reported events for the cited work

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Observation 1e87ee7a-bd33-4eb5-be0a-a0393bcb6bd9 · outbound

This paper cites Blue screen matting,.

Post-Training Quantization for Video Matting Blue screen matting,

Reference 24

Resolution
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Source-reported events for the cited work

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Observation 30339067-fa24-48cf-bb5a-b7e9c11d6154 · outbound

This paper cites Video matting of complex scenes,.

Post-Training Quantization for Video Matting Video matting of complex scenes,

Reference 25

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Source-reported events for the cited work

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Observation a80d24ff-4ec1-41af-bae5-d516ec466625 · outbound

This paper cites Up or down? adaptive rounding for post-training quantization,.

Post-Training Quantization for Video Matting Up or down? adaptive rounding for post-training quantization,

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation ebb0683d-fbad-4760-b04f-ca808371f7c4 · outbound

This paper cites BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction.

Post-Training Quantization for Video Matting BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction

Reference 27

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Source-reported events for the cited work

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Observation eb03d6f8-4d42-4610-8f0f-172e92cedf7e · outbound

This paper cites QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization.

Post-Training Quantization for Video Matting QDrop: Randomly Dropping Quantization for Extremely Low-bit Post-Training Quantization

Reference 28

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Source-reported events for the cited work

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Observation e6cca367-9aa0-4960-ad67-0f5cef48c1f3 · outbound

This paper cites An iterative image registration technique with an application to stereo vision,.

Post-Training Quantization for Video Matting An iterative image registration technique with an application to stereo vision,

Reference 29

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Source-reported events for the cited work

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Observation e2b66c03-8c72-4f91-b233-cbfd48d46a21 · outbound

This paper cites Flownet: Learning optical flow with convolutional networks,.

Post-Training Quantization for Video Matting Flownet: Learning optical flow with convolutional networks,

Reference 30

Resolution
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Source-reported events for the cited work

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Observation 1d174073-7109-498c-9564-1fe15b8455b1 · outbound

This paper cites Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume,.

Post-Training Quantization for Video Matting Pwc-net: Cnns for optical flow using pyramid, warping, and cost volume,

Reference 31

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verified fuzzy
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Source-reported events for the cited work

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Observation 6d27df58-14b8-4a15-87d4-5de26eff323b · outbound

This paper cites Data-free quantization through weight equalization and bias correction,.

Post-Training Quantization for Video Matting Data-free quantization through weight equalization and bias correction,

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation fb57fe21-57ba-4701-82b3-242e4f5e89f2 · outbound

This paper cites Quantizing deep convolutional networks for efficient inference: A whitepaper.

Post-Training Quantization for Video Matting Quantizing deep convolutional networks for efficient inference: A whitepaper

Reference 33

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Source-reported events for the cited work

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Observation 548e2a44-8d1c-4a4b-a369-79736947610b · outbound

This paper cites Attention-guided hierarchical structure aggregation for image matting,.

Post-Training Quantization for Video Matting Attention-guided hierarchical structure aggregation for image matting,

Reference 34

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 01d72e2a-798c-49f0-a62d-b3f23984d4ca · outbound

This paper cites Bimatting: Efficient video matting via binarization,.

Post-Training Quantization for Video Matting Bimatting: Efficient video matting via binarization,

Reference 35

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Pith citing papers

No inbound Pith citation observations are available.