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Paper Citation Record · LEDGER

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2506.03082.

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

pith.paper-citation-record.v1
2506.03082 v2

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:16:14.458583Z

measured 35 of 35 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

35 of 35 outbound references displayed

  • verified exact0
  • verified fuzzy14
  • unresolved19
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation da7e3a78-9b9d-4c40-838b-2899a35e2d8f · outbound

This paper cites MedIA52, 24–41 (2019).

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis MedIA52, 24–41 (2019)

Reference 1

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source=pdf_text observed=2026-08-07T11:16:12.202158Z digest=sha256:270aa886c28dbc394ca07101dcbc5500c921089df602760f7c65387b35b84d69

Observation b50adec4-1a99-4a17-8ac1-88bbe18b0777 · outbound

This paper cites How Attentive are Graph Attention Networks?.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis How Attentive are Graph Attention Networks?

Reference 2

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source=pdf_text observed=2026-08-07T11:16:12.272220Z digest=sha256:21b4911d31bf782bff71c3b186d669a564e6458906f4e13bd784a61f186933ec

Observation 974e474a-dcde-4361-8694-983e4f3b3713 · outbound

This paper cites In: ICCV.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis In: ICCV

Reference 3

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source=pdf_text observed=2026-08-07T11:16:12.343343Z digest=sha256:a532a0907405de8c9cae4ef6920b22fdee7dfa396a7549598ac62cb482faca7d

Observation 382e38d9-7f3d-4a1a-a73a-857c97709447 · outbound

This paper cites SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation

Reference 4

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source=pdf_text observed=2026-08-07T11:16:12.455635Z digest=sha256:c9c0a0ef2acdf6d7d3cca3fa8bdcc6b98791cc2fb29e141e32e7bc7e50ab1841

Observation e38c2483-2f92-4d5c-9405-1669ebfa1f9d · outbound

This paper cites SurGen: Text-Guided Diffusion Model for Surgical Video Generation.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis SurGen: Text-Guided Diffusion Model for Surgical Video Generation

Reference 5

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source=pdf_text observed=2026-08-07T11:16:12.552245Z digest=sha256:4be2f386eb003262e251c1d5369fb979da4b35278bf176fd95b8ab2222ab5dcd

Observation 389b96dc-1e63-4d1a-9bf3-8ccc9e33a96d · outbound

This paper cites SurGrID: Controllable Surgical Simulation via Scene Graph to Image Diffusion.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis SurGrID: Controllable Surgical Simulation via Scene Graph to Image Diffusion

Reference 6

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local_arxiv, observed 2026-08-07T11:16:15.007640Z

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

source=pdf_text observed=2026-08-07T11:16:12.628598Z digest=sha256:edfc63ab0b8ede91d9d7deb712f3c79feb2b0528391e9db9f3be23c7784345c5

Observation 33239063-9b0a-46a5-aac2-f9a138e60e18 · outbound

This paper cites Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection

Reference 7

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source=pdf_text observed=2026-08-07T11:16:12.677605Z digest=sha256:1148d8cc18eb7bc489f50f93b63368cd5330e173f607cc0cd65d0f31ff5f58b4

Observation 0b344141-e22d-47f4-a2a8-8eaec24e629d · outbound

This paper cites In: ICCV.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis In: ICCV

Reference 8

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

source=pdf_text observed=2026-08-07T11:16:12.762716Z digest=sha256:55f6770be07b640e687aed29ca243ae6208fcb05833bb2e602f77f2b2a98da89

Observation 064bf496-ac1b-4824-9804-036390538f19 · outbound

This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 9

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source=pdf_text observed=2026-08-07T11:16:12.842758Z digest=sha256:78c42c49d07bc411ad4abf93fb76559893f03a84ed7a28d102416e75e10e0179

Observation 945edc92-dc35-4674-97d0-2e758486e411 · outbound

This paper cites NeurIPS33, 6840–6851 (2020).

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis NeurIPS33, 6840–6851 (2020)

Reference 10

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source=pdf_text observed=2026-08-07T11:16:12.895637Z digest=sha256:1ce1f61d9f5b09f870fae27ccb19814ee563909dd7a173eb589b021fc0f5c9d2

Observation c03e004a-a496-4902-a747-7bd69f31a6e8 · outbound

This paper cites NeurIPS35, 8633–8646 (2022).

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis NeurIPS35, 8633–8646 (2022)

Reference 11

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source=pdf_text observed=2026-08-07T11:16:12.967535Z digest=sha256:bc7d87011ef034137969cc139906d6b5bd51ce4f5b2e79b15da94c39ffec35fe

Observation 8352f3c1-6992-4a3c-9c15-b4c4e6709be2 · outbound

This paper cites In: ICCV Workshop.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis In: ICCV Workshop

Reference 12

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

source=pdf_text observed=2026-08-07T11:16:13.031905Z digest=sha256:972d2e4f1de40df0a862993bc23e782214fd0531fa745c569f02cbeca83502f0

Observation bca71d71-1aff-4296-a96d-0e979db414bc · outbound

This paper cites In: ECCV.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis In: ECCV

Reference 13

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

source=pdf_text observed=2026-08-07T11:16:13.087291Z digest=sha256:7565ec0a6f844c7d68a137fdb98caa68c193ce169fa396784d69cbb1dddc0ecd

Observation af8833f6-cf0f-49e5-afd6-e3b956b61b27 · outbound

This paper cites In: MICCAI Workshop on Deep Generative Models.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis In: MICCAI Workshop on Deep Generative Models

Reference 14

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source=pdf_text observed=2026-08-07T11:16:13.140244Z digest=sha256:7a502912b47076fb5a6055b1f185d3c2b0499d3c8e45bad6c5de9f4af5eaff87

Observation 4f5a3bc6-8a13-43a3-aaea-293dcdd2d5a6 · outbound

This paper cites American journal of ophthalmology157(6), 1190–1201 (2014).

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis American journal of ophthalmology157(6), 1190–1201 (2014)

Reference 15

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

source=pdf_text observed=2026-08-07T11:16:13.216240Z digest=sha256:50b1e443e8aa643fd01d952a4ec1e3e5e3534d34afaf5340d8d5c6115e6c4ef6

Observation dd1781a3-d73f-4ac9-b012-84c0a88f2df3 · outbound

This paper cites In: MICCAI.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis In: MICCAI

Reference 16

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source=pdf_text observed=2026-08-07T11:16:13.274146Z digest=sha256:1d09422b29edf79c82bf60b59510c114b194714fb1805890397ae8b7c547cf4d

Observation 188178e5-33d7-480e-852e-5dd63bb889c7 · outbound

This paper cites IEEE PAMI45(6), 6647–6658 (2020).

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis IEEE PAMI45(6), 6647–6658 (2020)

Reference 17

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

source=pdf_text observed=2026-08-07T11:16:13.344525Z digest=sha256:04fe6c250989e3024a919d1321a7530c094421bf7b0ae1e89e6a75463200d70b

Observation d5c7f510-b4bf-49ca-a2d2-9c01b603c5c4 · outbound

This paper cites In: WACV.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis In: WACV

Reference 18

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

source=pdf_text observed=2026-08-07T11:16:13.400118Z digest=sha256:651cddec0158542cf8e889ab8098c7a7d0b497c58200bb5770141c82467ce94f

Observation f2e7e5ad-760d-464d-a875-e6e8eb3bd2f1 · outbound

This paper cites IEEE TMI (2023).

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis IEEE TMI (2023)

Reference 19

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

source=pdf_text observed=2026-08-07T11:16:13.506166Z digest=sha256:1d3a1f84ef854f9f5c9fd72ceced0b3914615452c39b38a1aafc1b35ca304b22

Observation 834921f9-14e0-4d9f-acf0-d4ec5709cfbf · outbound

This paper cites Scientific reports11(1), 10945 (2021).

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis Scientific reports11(1), 10945 (2021)

Reference 20

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source=pdf_text observed=2026-08-07T11:16:13.555156Z digest=sha256:2db2dd5a0b9c0e92a00dee4f5dfd5a67c5912dd33a337ac64ab3b9d68648f870

Observation daaf9afd-7c7a-4f60-9c44-8b839d86df4a · outbound

This paper cites In: ECCV.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis In: ECCV

Reference 21

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source=pdf_text observed=2026-08-07T11:16:13.619140Z digest=sha256:ebf3670376bc7f718d6dac7a362f5d01c4553306b5648114773a34a25006a90c

Observation faa2f90e-022b-4369-8fa1-ed1c9407de8c · outbound

This paper cites IEEE PAMI44(3), 1623–1637 (2020).

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis IEEE PAMI44(3), 1623–1637 (2020)

Reference 22

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

source=pdf_text observed=2026-08-07T11:16:13.669875Z digest=sha256:3dc3510a1816c8bff6bf503b081535adb82d205a86417e94b95f96bfc88c5897

Observation 9cde2286-4f02-421b-b88b-826c90dba0db · outbound

This paper cites ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis ConsistI2V: Enhancing Visual Consistency for Image-to-Video Generation

Reference 23

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source=pdf_text observed=2026-08-07T11:16:13.762485Z digest=sha256:2648331e66ce1f1f649899c7cb8b6885d5330daa5b454e1eb779c2f74959479b

Observation 6254aca7-3e23-40d2-ba48-7594d081ba76 · outbound

This paper cites In: CVPR.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis In: CVPR

Reference 24

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source=pdf_text observed=2026-08-07T11:16:13.816632Z digest=sha256:53791731c98ffef44b83cec103ab50e34e85f91952f679750915de835c3e5d97

Observation 8e275612-87df-43ad-a776-bbb958862629 · outbound

This paper cites SASVi -- Segment Any Surgical Video.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis SASVi -- Segment Any Surgical Video

Reference 25

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local_arxiv, observed 2026-08-07T11:16:14.710090Z

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

source=pdf_text observed=2026-08-07T11:16:13.854145Z digest=sha256:dda83b5f1e11f5c7222361b839ac94978127e999c21c782fd8c434de696041e0

Observation bc501ace-d97e-4d85-8781-2ccf1a979bcb · outbound

This paper cites In: CVPR.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis In: CVPR

Reference 26

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source=pdf_text observed=2026-08-07T11:16:13.896846Z digest=sha256:28f973e38abd881c56bea0359febfa96599510c19e2a2d032c090a2191189ac7

Observation d62cdd9c-ea83-4306-9197-29e6881a0e9b · outbound

This paper cites Bora: Biomedical Generalist Video Generation Model.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis Bora: Biomedical Generalist Video Generation Model

Reference 27

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source=pdf_text observed=2026-08-07T11:16:13.980605Z digest=sha256:beb4678ca9cce342c07ac7cc5d5f29dd957e59e1e1b54a45963e37db193cf741

Observation f7bebe95-e85b-40d2-90fe-763013748ff8 · outbound

This paper cites In: ECCV.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis In: ECCV

Reference 28

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raw_fallback, observed 2026-08-07T11:16:16.396187Z

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

source=pdf_text observed=2026-08-07T11:16:14.053296Z digest=sha256:48433eea4ba6d0ef9da4228c57acba742c289c783d0c512b1bad95f48f8f0e37

Observation c5740218-4798-447c-9ddd-48c81b7e86aa · outbound

This paper cites IEEE TMI36(1), 86–97 (2016).

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis IEEE TMI36(1), 86–97 (2016)

Reference 29

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raw_fallback, observed 2026-08-07T11:16:16.070285Z

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

source=pdf_text observed=2026-08-07T11:16:14.100982Z digest=sha256:d5d917eeb6b04123c6d1acfd88d7e3f77ac6d0864210d75fb0cdb8e6c7649733

Observation 454e9784-721f-4eb9-9ea7-0ad5da8ce871 · outbound

This paper cites Towards Accurate Generative Models of Video: A New Metric & Challenges.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis Towards Accurate Generative Models of Video: A New Metric & Challenges

Reference 30

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source=pdf_text observed=2026-08-07T11:16:14.166021Z digest=sha256:c40363d38c5c15f3eedc8e4784f4cdb80e33f340224fd8d42bf21433380d2dd0

Observation 9800eb33-bf99-41c1-a81d-fb045d64bd7d · outbound

This paper cites Optical Flow Representation Alignment Mamba Diffusion Model for Medical Video Generation.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis Optical Flow Representation Alignment Mamba Diffusion Model for Medical Video Generation

Reference 31

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source=pdf_text observed=2026-08-07T11:16:14.214561Z digest=sha256:3373fc29a41ef42dc33b5903b1c7f63e4ac018a129569b3e6ad070aaf681bb8d

Observation 2381ee67-5378-4b37-8aa7-0b3236ec5a02 · outbound

This paper cites Eye36(8), 1529–1531 (2022).

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis Eye36(8), 1529–1531 (2022)

Reference 32

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raw_fallback, observed 2026-08-07T11:16:15.702008Z

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.

source=pdf_text observed=2026-08-07T11:16:14.301375Z digest=sha256:2809ee14a98146678b602b1bdcf148877b087efef1244cd0fc2576ad8025e2b4

Observation 12fb036e-61f2-423a-baf8-de03f01cbba8 · outbound

This paper cites In: MICCAI.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis In: MICCAI

Reference 33

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raw_fallback, observed 2026-08-07T11:16:15.447728Z

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.

source=pdf_text observed=2026-08-07T11:16:14.385706Z digest=sha256:7be746a91507580f3ed34a2f25a133b29892d5774b7ec2d9177045f871669762

Observation e7801c63-c45d-4c57-8071-70c70038088a · outbound

This paper cites In: CVPR.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis In: CVPR

Reference 34

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source=pdf_text observed=2026-08-07T11:16:14.452303Z digest=sha256:0b1d5414f94aad140b42059aee7860923d81f20f2675d3e15b749f7db86e8d2e

Observation 61d90b0f-e8fd-4442-8799-fe7c26482fba · outbound

This paper cites In: MICCAI.

SG2VID: Scene Graphs Enable Fine-Grained Control for Video Synthesis In: MICCAI

Reference 35

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raw_fallback, observed 2026-08-07T11:16:15.229666Z

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.

source=pdf_text observed=2026-08-07T11:16:14.458583Z digest=sha256:74d6960e74f4eb33f3d7d7c1efd486aaa7e4eda8e045669a48f92c364d79ba50

Pith citing papers

No inbound Pith citation observations are available.