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Paper Citation Record · LEDGER

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos

As of 7 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 2 inbound Pith citation observations for arXiv:2507.05675.

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

pith.paper-citation-record.v1
2507.05675 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:25:08.651874Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T10:21:12.782864Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T09:47:59.611944Z

Reference resolution

45 of 45 outbound references displayed

  • verified exact2
  • verified fuzzy5
  • unresolved36
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 49be0abc-6c67-49bd-9b76-014a9fee6a65 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos , " * write output.state after.block = add.period write newline

Reference 1

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no resolver link, observed 2026-08-06T19:25:08.455966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.455966Z digest=sha256:de858a10966ab12a28922114cc91d62d7b8005a42b7045a43d2510b68d19458e

Observation 78f3a48c-d911-415f-a7ad-370fc9d23ab4 · outbound

This paper cites write newline.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos write newline

Reference 2

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unresolved
no resolver link, observed 2026-08-06T19:25:08.461086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.461086Z digest=sha256:e5c4c59571ab45803219c63c2639d4d05c406912d5a7010db261805a36bc0f38

Observation 33bee0ae-994e-49f3-ae45-fed786d1e7ff · outbound

This paper cites Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:25:09.170287Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.466581Z digest=sha256:624e02713cfdab43a409063a8e061a4e86e1d5130b04fd05db1ef32eaf0ba8ff

Observation 47b32b78-3570-4389-b981-9c564d7c76b3 · outbound

This paper cites The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos The SARAS Endoscopic Surgeon Action Detection (ESAD) dataset: Challenges and methods

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T19:25:09.146157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.471311Z digest=sha256:cf186a8bfabbd1777d55e075f2846c8350f8194765c5317be10fb7bdacc82001

Observation b595e481-45a7-43c3-a008-be9bf0abe8c1 · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 5

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unresolved
no resolver link, observed 2026-08-06T19:25:08.477036Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.477036Z digest=sha256:6cec7179bd63bd837ba8aa74fe513cb4cac0bf66e61fdd7db00d584a0252fde6

Observation a6a54769-a1ed-4c46-84c7-9dc2d520002f · outbound

This paper cites H.; Hicks, S.; Jha, D.; Eskeland, S.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos H.; Hicks, S.; Jha, D.; Eskeland, S

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:25:09.459615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.481654Z digest=sha256:3c6d7274e5e05353025261f4e1837461f6a8c7c63e75bbc8dca0b4ad6fdb30ce

Observation d6e9ba4c-cd3e-4dda-b3c1-fca0e1b8492f · outbound

This paper cites VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

Reference 7

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unresolved
no resolver link, observed 2026-08-06T19:25:08.486175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.486175Z digest=sha256:12d73565f17da3931b5385bc314bc376051d48366d569217605fafc0bc6d3733

Observation bfe8be9e-bc0e-473d-a5d4-349ab275ece4 · outbound

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

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos SurgSora: Object-Aware Diffusion Model for Controllable Surgical Video Generation

Reference 8

Resolution
verified exact
local_arxiv, observed 2026-08-06T19:25:09.089580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.492103Z digest=sha256:6cbadcd17a4a7beea6a8dada56ff11709ba1950170bd902e675676ab71cdc187

Observation 3562cfce-9acf-4e01-97bc-96c90cdd513d · outbound

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

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos SurGen: Text-Guided Diffusion Model for Surgical Video Generation

Reference 9

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unresolved
no resolver link, observed 2026-08-06T19:25:08.497193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.497193Z digest=sha256:9d6297fd9be313dd0fecde18ee19a78b4c432bd7baa64965ba7851f36437eba4

Observation b799d05c-df7e-4d1d-b740-49059b8af6db · outbound

This paper cites PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos PitVis-2023 Challenge: Workflow Recognition in videos of Endoscopic Pituitary Surgery

Reference 10

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unresolved
no resolver link, observed 2026-08-06T19:25:08.502466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.502466Z digest=sha256:6c7f88b8ef997fe11df998c514edb049d12ad084825e58065d8ca7e5e6c7a4ae

Observation dc56006d-c6c1-4274-ab4e-0f9c6c3b542f · outbound

This paper cites Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Vchitect-2.0: Parallel Transformer for Scaling Up Video Diffusion Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:08.507165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.507165Z digest=sha256:d114e2753933ca382febe9847b1edfaf5add6db0c94dcdc974b30dfb660cafed

Observation aa8293be-a115-4d17-bf63-443022d27239 · outbound

This paper cites an unresolved cited work.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Unresolved cited work

Reference 12

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unresolved
raw_fallback, observed 2026-08-06T19:25:09.443629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.511566Z digest=sha256:7860887585d24f713764ed05fec24e3c3385e946cee699245c6eb699cecb2f9e

Observation e49531a1-c2db-486d-a7e6-0d8a59b4316e · outbound

This paper cites an unresolved cited work.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Unresolved cited work

Reference 13

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:25:09.428259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.515644Z digest=sha256:adc7aea0c083a21c8084af08949cb718dfc40f7d68349356fb4989eb46f9495e

Observation 9c73ae79-c882-46ed-87e9-36b78c496240 · outbound

This paper cites LTX-Video: Realtime Video Latent Diffusion.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos LTX-Video: Realtime Video Latent Diffusion

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:08.519481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.519481Z digest=sha256:acf9925b579436a31b645eb29cdfb74413ae7d9e453a3290292d33bcb2bf03e4

Observation a2f3e10d-edde-4bb5-9854-aa29c9c39f57 · outbound

This paper cites VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos VideoScore: Building Automatic Metrics to Simulate Fine-grained Human Feedback for Video Generation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:08.523862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.523862Z digest=sha256:060c49d0a7cb16752b87f7c263b08dc501d240d26390589b5fa9ccbf3d306ca0

Observation 4d09910d-e321-4bcb-a738-738af8862651 · outbound

This paper cites an unresolved cited work.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Unresolved cited work

Reference 16

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unresolved
raw_fallback, observed 2026-08-06T19:25:09.411771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.528083Z digest=sha256:4e252b6d86da499469b273f6fe9c6cc691aca647477eecc3feffaacd837c6f19

Observation b14acdc1-964b-4fed-8caa-0c6ecaeb5d18 · outbound

This paper cites an unresolved cited work.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Unresolved cited work

Reference 17

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unresolved
no resolver link, observed 2026-08-06T19:25:08.532221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.532221Z digest=sha256:57eec609193a56de1c046c307db980fb23f046e7e735a0fa9f2599a9a8238228

Observation 84b3e531-de9e-4e6b-b8ef-c8127632ebb6 · outbound

This paper cites HunyuanVideo: A Systematic Framework For Large Video Generative Models.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos HunyuanVideo: A Systematic Framework For Large Video Generative Models

Reference 18

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unresolved
no resolver link, observed 2026-08-06T19:25:08.536171Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.536171Z digest=sha256:4c69472be90208403791d7c0376568b333bc985556ff0909075183935bf041e3

Observation b55c7a22-d8b6-4306-b5d0-c3f16c52c2c0 · outbound

This paper cites an unresolved cited work.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Unresolved cited work

Reference 19

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unresolved
raw_fallback, observed 2026-08-06T19:25:09.395656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.540563Z digest=sha256:4fb30e37e15a7316f04649fb9650878f627038d34f8b736ff516d09d3a7c8f95

Observation 5a51c1f9-4b77-457d-be58-849ea0230bf7 · outbound

This paper cites Y.; Li, W.; Liu, X.; Chen, Z.; Shao, J.; and Yuan, Y.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Y.; Li, W.; Liu, X.; Chen, Z.; Shao, J.; and Yuan, Y

Reference 20

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verified fuzzy
raw_fallback, observed 2026-08-06T19:25:09.378724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.544604Z digest=sha256:6a5b9bd9ea2ef3166f3fe6e6a61aed705a6f34e692caa1a61f44a47eef131e30

Observation 263fa3b0-774b-4778-ad30-76edc26b90d7 · outbound

This paper cites Artificial Intelligence for Biomedical Video Generation.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Artificial Intelligence for Biomedical Video Generation

Reference 21

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unresolved
no resolver link, observed 2026-08-06T19:25:08.548555Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.548555Z digest=sha256:f24d4091e59fec8f5ad742246715fb3b56154d40b25a8ba42c00ca4e00f34d92

Observation 7096510c-7bf9-40f1-8e3a-7db61123a15a · outbound

This paper cites Open-Sora Plan: Open-Source Large Video Generation Model.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Open-Sora Plan: Open-Source Large Video Generation Model

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:08.552805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.552805Z digest=sha256:bda970d7de8123bcb85b8ceae564255e526124c3ac42dcce894ebe950c5ed4f4

Observation 854233c7-bdca-48de-a4f1-9b5baea4e77e · outbound

This paper cites Latte: Latent Diffusion Transformer for Video Generation.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Latte: Latent Diffusion Transformer for Video Generation

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:08.557325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.557325Z digest=sha256:52e049b0e97a5bc35dd4e8e931bd49df241d6d17cf06d402d5f3cb23b1eb8717

Observation fbe7c7be-26ce-4066-830b-49b528c35c4b · outbound

This paper cites Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Reference 24

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unresolved
no resolver link, observed 2026-08-06T19:25:08.561628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.561628Z digest=sha256:8b56671a655f82fe079ef68fc2a9d34ce52b3786202e0f2f1ee1f4586b059c1e

Observation 468fb81b-4f86-4d8b-b7a5-a1f1a843fcfd · outbound

This paper cites an unresolved cited work.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Unresolved cited work

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:25:09.362320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.566106Z digest=sha256:631a79ce3af2384459a5a9f0ed58344c8ab00e2b8ec6dce6cf1c6fbc7796a8da

Observation c3f0c8e5-fe0a-48b5-9d49-9d615b064e09 · outbound

This paper cites an unresolved cited work.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:25:09.346376Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.570152Z digest=sha256:6d178d67be312c790abb3e71fca3afe78ab10fb41ea6f3f5a4423745ad1dbff1

Observation f01100b0-bc62-462d-97d4-12c5bc59c55d · outbound

This paper cites OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:08.575649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.575649Z digest=sha256:82a2cd740e6dd3b04d3ce73c5b613bbb412d36c6fad4e7e4278506bfc1e5e2e0

Observation e2971eed-34e6-4153-9376-188a669d1621 · outbound

This paper cites I.; Yu, T.; Gonzalez, C.; Seeliger, B.; Mascagni, P.; Mutter, D.; Marescaux, J.; and Padoy, N.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos I.; Yu, T.; Gonzalez, C.; Seeliger, B.; Mascagni, P.; Mutter, D.; Marescaux, J.; and Padoy, N

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:25:09.330314Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.579924Z digest=sha256:6c289cd1bccb2865032e1826108724cf323a90b850e5fc77d2eb1a68076bf336

Observation 02bd211f-1a3c-4247-b8fe-d37cf0a82d52 · outbound

This paper cites an unresolved cited work.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Unresolved cited work

Reference 29

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unresolved
raw_fallback, observed 2026-08-06T19:25:09.314338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.583997Z digest=sha256:e20030d935a00ccfa72a0524f8a4c44839c333d03b7a915849ddf2a8700b040a

Observation 3e6e5ff5-5948-464d-a810-abdd7eab3010 · outbound

This paper cites W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos W.; Hallacy, C.; Ramesh, A.; Goh, G.; Agarwal, S.; Sastry, G.; Askell, A.; Mishkin, P.; Clark, J.; et al

Reference 30

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unresolved
no resolver link, observed 2026-08-06T19:25:08.588333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.588333Z digest=sha256:b1819905a4b9d558344f9b4cdd1e36062542644f8887ea2b9ed1bc66661327ee

Observation 9357939e-9d0d-4c37-aeba-befbd9ce0a64 · outbound

This paper cites an unresolved cited work.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Unresolved cited work

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:25:09.288284Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.592256Z digest=sha256:ad45bcba687946ac12762309d3d2128faccbd14a230b12632e946fa23ff3e10a

Observation 751100d9-82b0-45f5-9cc8-58704b9c8a39 · outbound

This paper cites an unresolved cited work.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:25:09.271215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.596657Z digest=sha256:8924b20f1f743f78ecf6cb8f4757279588edd0847c1fdba759a55bcecddbb91d

Observation eb57ffbe-7750-4958-aa18-95415cf04a1a · outbound

This paper cites Bora: Biomedical Generalist Video Generation Model.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Bora: Biomedical Generalist Video Generation Model

Reference 33

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unresolved
no resolver link, observed 2026-08-06T19:25:08.600823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.600823Z digest=sha256:b7c0eefb43d39420b59f930c6bd76ef16e5605a5a047db9864c7d12b69ca1866

Observation 35fe670e-b43d-49ed-bf29-93fef2938a36 · outbound

This paper cites an unresolved cited work.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:25:09.253468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.604878Z digest=sha256:8cdf5164797af5c1af0e7c80881f05a1e2ae233f7891555bc646b3c7b3d44ee8

Observation 63541a3a-9695-4920-becb-377944431e9d · outbound

This paper cites an unresolved cited work.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:25:09.236329Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.609317Z digest=sha256:9ad6d1a05638a3ad780255c111e85e1f383ce230eebb47d613372179432ea1e6

Observation 8e92ad73-6b90-4130-bbb5-5fcc6332817a · outbound

This paper cites an unresolved cited work.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T19:25:09.220262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.613230Z digest=sha256:461b178d9a613b0dd93addc0edde71ddc85420d2af03b8dc603ec695e61b0055

Observation 36dc5ce4-65fd-41fd-8c60-f073806f3787 · outbound

This paper cites P.; Shehata, S.; Mutter, D.; Marescaux, J.; De Mathelin, M.; and Padoy, N.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos P.; Shehata, S.; Mutter, D.; Marescaux, J.; De Mathelin, M.; and Padoy, N

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:25:09.204176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.617089Z digest=sha256:b65eca214bd9775b6714f5ce1f1889ee0b1e6c37ae46824917570afe361eb2c2

Observation 982b46e2-10e2-4d12-bfb9-0f9b2be7c847 · outbound

This paper cites ModelScope Text-to-Video Technical Report.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos ModelScope Text-to-Video Technical Report

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:08.621236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.621236Z digest=sha256:9851c019ac01b7ae22f9cedd9a6d38943c4a92b6b4e75e7cd55d7fea908842cd

Observation c2f5ba5f-532d-4212-b926-5163357e8580 · outbound

This paper cites PANDA: A Gigapixel-level Human-centric Video Dataset.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos PANDA: A Gigapixel-level Human-centric Video Dataset

Reference 39

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T19:25:08.775659Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.625630Z digest=sha256:00db7882adea8d5f27bc4a7cf9a639dc05fcea5cb0ef37042db13d0c9a9407e4

Observation 31e791b9-e5f6-48ab-93a2-fc199150e853 · outbound

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

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Optical Flow Representation Alignment Mamba Diffusion Model for Medical Video Generation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:08.629783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.629783Z digest=sha256:bd0f3cb1389ed52b1f98b09609967a2793ea90130957027cacfd82d91fb934cf

Observation bc5c4694-8dcd-4fbf-9b82-a84815d840f0 · outbound

This paper cites H.; Wang, A.; Sun, W.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos H.; Wang, A.; Sun, W

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T19:25:09.186917Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.634305Z digest=sha256:4f31b034c1de5fc90836ac20129828ced5e02e21d87abadb8b2a7ea1421481b9

Observation 635ed87b-3363-4aca-9484-b68f0bdb2d1a · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:08.638553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.638553Z digest=sha256:0d62a39e6319b8966b3a8f1879a2fe3f3fa8d0a8cf8bd526d2db51c813c75cbf

Observation c0683b27-e503-406d-96a4-3b4e2398f04f · outbound

This paper cites Open-Sora: Democratizing Efficient Video Production for All.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Open-Sora: Democratizing Efficient Video Production for All

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:08.643310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.643310Z digest=sha256:25ad8e001c78a4f1b3fbb0069530709b3024501c56229fb924aa3d0f53584a45

Observation f40f6c56-d9b4-4fbd-8eca-ca6c547f3377 · outbound

This paper cites Allegro: Open the Black Box of Commercial-Level Video Generation Model.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Allegro: Open the Black Box of Commercial-Level Video Generation Model

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:08.647722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.647722Z digest=sha256:96810f261643f9d5f521ccee6ec6c0e138b2fba050537cd39e3bbbc6cc6322fc

Observation 5b35a931-ef8f-41fe-8293-41e56ddde6f9 · outbound

This paper cites Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025.

MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T19:25:08.651874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T19:25:08.651874Z digest=sha256:cd99c227b120272790ab7ee1c3d9f85ccb40ac39321abf8bce99a2c5c5ef656e

Pith citing papers

Observation 72ced6b7-7694-4ba9-9ad3-608cfeaf0bf6 · inbound

From Articulated Kinematics to Routed Visual Control for Action-Conditioned Surgical Video Generation cites this paper.

From Articulated Kinematics to Routed Visual Control for Action-Conditioned Surgical Video Generation MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos

Reference 85

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:16:18.790532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-12T03:15:40.944411Z digest=sha256:7755fbae6f0f4528393d098942dd119ae1407fe02e6ff1a81ed820d384b56c41

Observation ceca1160-f5ca-467a-9649-41597dfda1d8 · inbound

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA cites this paper.

UniReason-Med: A Shared Grounded Reasoning Interface for 2D-to-3D Transfer in Medical VQA MedGen: Unlocking Medical Video Generation by Scaling Granularly-annotated Medical Videos

Reference 265

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T09:47:59.613243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T10:21:12.782864Z digest=sha256:3c83879b156cd6cd8af0b0042e2adfbb4884685fdbd8a3b611cc084f39ea24f4