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Paper Citation Record · LEDGER

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2507.00339.

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

pith.paper-citation-record.v1
2507.00339 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T21:20:29.491954Z

measured 43 of 43 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

43 of 43 outbound references displayed

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  • verified fuzzy39
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 819ec2c1-fbd4-4282-a469-7038a0e0779e · outbound

This paper cites pix2gestalt: Amodal segmentation by synthesizing wholes, 2024.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video pix2gestalt: Amodal segmentation by synthesizing wholes, 2024

Reference 1

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Observation 8c2aa305-2bcc-421e-8869-f0551e80155a · outbound

This paper cites Bot-sort: Robust associations multi-pedestrian tracking, 2022.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Bot-sort: Robust associations multi-pedestrian tracking, 2022

Reference 2

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Observation 592f2094-4eff-4b4e-b573-d09cfd39dc64 · outbound

This paper cites Bytetrack: Multi-object tracking by associating every detection box, 2022.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Bytetrack: Multi-object tracking by associating every detection box, 2022

Reference 3

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Observation c7b87e6a-5743-45fd-9436-81016b36c333 · outbound

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Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Unresolved cited work

Reference 4

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Observation 532f1e6a-d463-43c1-ae0c-5a759a2a0bea · outbound

This paper cites Putting the object back into video object segmentation, 2024.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Putting the object back into video object segmentation, 2024

Reference 5

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Source-reported events for the cited work

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Observation 19b5741f-ffda-4bff-803e-e3694f31cbec · outbound

This paper cites Sam 2: Segment anything in images and videos, 2024.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Sam 2: Segment anything in images and videos, 2024

Reference 6

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Observation e1509505-da74-4e74-8b64-3a3f6762a955 · outbound

This paper cites Transformer for object re-identification: A survey, 2024.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Transformer for object re-identification: A survey, 2024

Reference 7

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Source-reported events for the cited work

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Observation 08d3de7d-2b09-454a-a668-619bfeaa5fee · outbound

This paper cites Feature aggregation and con- nectivity for object re-identification.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Feature aggregation and con- nectivity for object re-identification

Reference 8

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Source-reported events for the cited work

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Observation 5f9ca094-dc0a-4c42-b981-3f62408ca529 · outbound

This paper cites Repaint: Inpainting using denoising diffusion probabilistic models, 2022.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Repaint: Inpainting using denoising diffusion probabilistic models, 2022

Reference 9

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Observation 97ef334d-9a93-41d0-b6bd-b50206a5fde8 · outbound

This paper cites Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Sdxl: Improving latent diffusion models for high-resolution image synthesis, 2023

Reference 10

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Observation c4e3b540-6050-401e-8136-9f6d739ff70e · outbound

This paper cites Seeing objects in a cluttered world: Computational objectness from motion in video, 2024.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Seeing objects in a cluttered world: Computational objectness from motion in video, 2024

Reference 11

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Source-reported events for the cited work

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Observation 73aa0060-603b-4e78-8885-ff622ff0b4a6 · outbound

This paper cites Learning 6-dof object poses to grasp category-level objects by language instructions, 2022.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Learning 6-dof object poses to grasp category-level objects by language instructions, 2022

Reference 12

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Source-reported events for the cited work

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Observation 278b6ccc-00cb-4087-92cb-a691cc52b6d0 · outbound

This paper cites Are we ready for autonomous driving? the kitti vision benchmark suite.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Are we ready for autonomous driving? the kitti vision benchmark suite

Reference 13

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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 f99b2e6e-9221-4617-bf9e-a694e19d45ee · outbound

This paper cites Impdet: Exploring implicit fields for 3d object detection, 2022.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Impdet: Exploring implicit fields for 3d object detection, 2022

Reference 14

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Source-reported events for the cited work

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Observation e1a40c96-28c3-4b3d-85df-fe8dc2fe0cc3 · outbound

This paper cites Rethinking amodal video segmentation from learning supervised signals with object-centric representa- tion, 2023.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Rethinking amodal video segmentation from learning supervised signals with object-centric representa- tion, 2023

Reference 15

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Observation 47eb4572-7eac-43b9-86a2-fc6cdddf84fc · outbound

This paper cites Amodal panoptic segmentation, 2022.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Amodal panoptic segmentation, 2022

Reference 16

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Source-reported events for the cited work

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Observation 97409735-6b73-4a44-a0e1-dabe75bcd72a · outbound

This paper cites Aisformer: Amodal instance segmentation with transformer, 2024.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Aisformer: Amodal instance segmentation with transformer, 2024

Reference 17

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Source-reported events for the cited work

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Observation 9a55621b-7deb-4154-ac96-d690b50ff049 · outbound

This paper cites Amodal segmentation based on visible region segmentation and shape prior, 2020.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Amodal segmentation based on visible region segmentation and shape prior, 2020

Reference 18

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Source-reported events for the cited work

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Observation 511b49ae-f443-4713-aaa2-e3ac0a441b22 · outbound

This paper cites Deep occlusion-aware instance segmentation with overlap- ping bilayers, 2021.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Deep occlusion-aware instance segmentation with overlap- ping bilayers, 2021

Reference 19

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Source-reported events for the cited work

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Observation 7e876359-37f4-4137-9017-5655e87d082c · outbound

This paper cites Using diffusion priors for video amodal segmen- tation, 2024.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Using diffusion priors for video amodal segmen- tation, 2024

Reference 20

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Source-reported events for the cited work

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Observation 691d872a-7133-4e1f-80cc-103f83fb3d4e · outbound

This paper cites TACO: Taming Diffusion for in-the-wild Video Amodal Completion.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video TACO: Taming Diffusion for in-the-wild Video Amodal Completion

Reference 21

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Source-reported events for the cited work

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Observation f247ae06-97e1-4153-9b46-f09825a6d974 · outbound

This paper cites Learning to see the invisible: End-to-end trainable amodal instance segmentation, 2018.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Learning to see the invisible: End-to-end trainable amodal instance segmentation, 2018

Reference 22

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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 db0b07dc-f981-4645-be60-98ad7bb7205d · outbound

This paper cites Amodal instance segmentation with diffusion shape prior estimation, 2024.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Amodal instance segmentation with diffusion shape prior estimation, 2024

Reference 23

Resolution
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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 28924686-6636-43ec-9c72-a5de4b437f65 · outbound

This paper cites Amodal instance segmentation, 2016.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Amodal instance segmentation, 2016

Reference 24

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Source-reported events for the cited work

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Observation cb591e8c-bed7-4f7c-abf5-c1d7cd043ff1 · outbound

This paper cites Self-supervised scene de-occlusion, 2020.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Self-supervised scene de-occlusion, 2020

Reference 25

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Source-reported events for the cited work

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Observation da7bc35c-1f2e-47f5-a317-b2dcd1cb81e5 · outbound

This paper cites Amodal instance segmentation with kins dataset.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Amodal instance segmentation with kins dataset

Reference 26

Resolution
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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 a1cbde60-f6a5-4ead-b760-0e9fa420cf3e · outbound

This paper cites Bosch, Tessa M.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Bosch, Tessa M

Reference 27

Resolution
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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 159e4a69-b954-4796-9e60-22f59e3bd55c · outbound

This paper cites Amodal completion via progressive mixed context diffusion, 2023.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Amodal completion via progressive mixed context diffusion, 2023

Reference 28

Resolution
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Source-reported events for the cited work

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Observation 9bc574ca-6755-4368-b2db-568f4d960c1d · outbound

This paper cites Addressing issues with working memory in video object segmentation, 2024.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Addressing issues with working memory in video object segmentation, 2024

Reference 29

Resolution
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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 2508cee0-09d9-4bb5-ba47-136b5b405fa7 · outbound

This paper cites Narasimhan.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Narasimhan

Reference 30

Resolution
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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 d0dae70a-02f8-4152-857b-9d150f35e654 · outbound

This paper cites Foundation models for amodal video instance segmentation in automated driving, 2024.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Foundation models for amodal video instance segmentation in automated driving, 2024

Reference 31

Resolution
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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 260c8f1a-d196-46bc-a7f2-c0f23fb3c448 · outbound

This paper cites Synwoodscape: Synthetic surround-view fisheye camera dataset for au- tonomous driving.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Synwoodscape: Synthetic surround-view fisheye camera dataset for au- tonomous driving

Reference 32

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raw_fallback, observed 2026-08-06T21:20:29.668427Z

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=2026-08-06T21:20:29.454980Z digest=sha256:46f54d06706ef2465c9ebeab3684b59cda9e15cbac527283fc9bdb64c6d4debb

Observation 3421157e-276b-4dde-9948-6a9e5be691cb · outbound

This paper cites R3d3: Dense 3d reconstruction of dynamic scenes from multiple cameras, 2023.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video R3d3: Dense 3d reconstruction of dynamic scenes from multiple cameras, 2023

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:29.657567Z

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=2026-08-06T21:20:29.458350Z digest=sha256:11d228c43a8421867fabcf689fe5f25733a49aac706e4379c8c87bffa92bc822

Observation 33118de1-2af8-4768-8fe1-a13ba6b12dab · outbound

This paper cites The wildtrack multi-camera person dataset, 2017.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video The wildtrack multi-camera person dataset, 2017

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:29.645775Z

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=2026-08-06T21:20:29.461472Z digest=sha256:36b18decd49c1872a042a751659c0e1863dcc759017a10746a607fcff5b1e313

Observation 52c5b61e-219c-464a-9253-1c6c917868ee · outbound

This paper cites Mmptrack: Large-scale densely annotated multi-camera multiple people tracking benchmark, 2021.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Mmptrack: Large-scale densely annotated multi-camera multiple people tracking benchmark, 2021

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:29.634374Z

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=2026-08-06T21:20:29.464826Z digest=sha256:9d37c1e9027e2871f68215c07a1287c83418ab6d423ab932a36f6882fe90c7a4

Observation 22116cae-1fc6-4f91-a65e-2d69b3421e61 · outbound

This paper cites Multi-camera multi-object tracking: A review of current trends and future advances.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Multi-camera multi-object tracking: A review of current trends and future advances

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:29.622827Z

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=2026-08-06T21:20:29.467943Z digest=sha256:86e2987ccd3c395d31c127d027cdbc257ae39b2a9f3ff981471b2399cd4e20bf

Observation 14f18e15-0d0f-4e84-b0eb-b9cf63ad9597 · outbound

This paper cites Ferryman and Ali Shahrokni.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Ferryman and Ali Shahrokni

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:29.611262Z

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=2026-08-06T21:20:29.471216Z digest=sha256:dff953a43e8d4778fc6a734da8a7b6fdb1336e9274310dc9fc3807035375487a

Observation a19c364c-81e1-480c-a4e1-4c53462200dc · outbound

This paper cites Multiview equivariance improves 3d correspondence understanding with minimal feature finetuning, 2025.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Multiview equivariance improves 3d correspondence understanding with minimal feature finetuning, 2025

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:29.600320Z

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=2026-08-06T21:20:29.474776Z digest=sha256:ab264e37aba4eab2b6c7b55a6d6df0e102bcb2ee012c0270d16052372706e16f

Observation 1d2da6c8-06b9-46ce-bbf2-e91a8eebca66 · outbound

This paper cites an unresolved cited work.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:20:29.588352Z

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=2026-08-06T21:20:29.478182Z digest=sha256:6e27bd79d01695b61b6d73b6e02c90c6f3fdf0d2a20a21244d9795cc1763d097

Observation 183cbd46-ebe3-4036-bdde-6190fdbedd68 · outbound

This paper cites Coarse-to-fine amodal segmentation with shape prior, 2023.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Coarse-to-fine amodal segmentation with shape prior, 2023

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:29.576435Z

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=2026-08-06T21:20:29.481730Z digest=sha256:ef9a4444a45c11dd6e63b87c7271b6c9509722c6b6abb25f0d97d1c9dc895600

Observation 023a954a-dfd3-4e2c-8506-ab46f321c52b · outbound

This paper cites Self-supervised amodal video object segmentation, 2022.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Self-supervised amodal video object segmentation, 2022

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:29.564822Z

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=2026-08-06T21:20:29.485230Z digest=sha256:1ad7f7f72a13a4e6f676193c3c1ed33cb1c17e4e5ecfbddb80da40d7d06a369d

Observation eefac145-34e0-479c-86a1-a36779eaa53e · outbound

This paper cites Efros, Eli Shechtman, and Oliver Wang.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Efros, Eli Shechtman, and Oliver Wang

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T21:20:29.552895Z

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=2026-08-06T21:20:29.488715Z digest=sha256:507cb933c5e94d2908f5e3081c18732f1774f9ba743407f97363744aeef43148

Observation b1435de9-3887-4c15-afbc-bed4d92bc61c · outbound

This paper cites an unresolved cited work.

Training for X-Ray Vision: Amodal Segmentation, Amodal Content Completion, and View-Invariant Object Representation from Multi-Camera Video Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-06T21:20:29.541503Z

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=2026-08-06T21:20:29.491954Z digest=sha256:7af689cee71fbee65763188fa55245895da97ba6e3d218a3eaedbe111d65156d

Pith citing papers

No inbound Pith citation observations are available.