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Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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=sha256:95c9c8ee87174c703b55ba90c3233a2cbf0e2bfa913c781a8b31e68b98d36061

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:b8587b6e891eb117764a1132c1470596a8b345a4a852ee08044bf0249bea69b1

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.466581Z digest=sha256:b49220374a5b803399cb662c0021e66db4df65aba0e56e5ff5b95ee3f65d72c7

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.471311Z digest=sha256:e00e64d8e217d6fd4dd5a4d5852583202994748f23ab219aeb00cdbca7e4b4d5

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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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:afdd1e614e9566f832ac841af6651e5e3bc4e01c3eca43322815fbfce04bddaa

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.481654Z digest=sha256:0ae4107420e421459cd72bfc3fe6e32f592d85a3ef719b949227c2547f73f206

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:f3696fae65df7b03b198795e5b085b86a9a37444db04c5befeac3ce606ae16d5

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.492103Z digest=sha256:064b670f85ed73c0283986f1b7990e6e3ab402dc33360a1e864c333693578294

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:ddc96855099fc4e9bfee3674a161250fbb8e659726d503f06d2f1c873b9bfb21

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=sha256:022d6c3466d55c6ff32b0dbd14444b9db6a7bdbffeac61ee8debd2e955f964a8

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

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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=sha256:3bf22e2854ce6a9ce5391d96a5bd2420394e046e6fac89241a0a51c689e6aa53

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.511566Z digest=sha256:5725f9deda1ac3e3f01b6732c053297dc2e959ed81687d34b4b0922f05b697cf

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.515644Z digest=sha256:e08daa3813e9846fcec1ef4e5c7cd9f683e3bd74037aa9cf6ac671e03f6ffa53

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=sha256:57c32c89f3a46934e378b34ed9985049dbbdc1af6bbd4730517dbc79c2a90ce8

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:d649c14c6f43f9512bcf250ad09beee774b2a76c5ec9af12b52dfd82356a4605

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.528083Z digest=sha256:227ba99d15e4b821e97c81f933dff07eb3d670a7a9ba6106241e4ba09078edaf

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=sha256:9bd2429d1ad2d78652b5236213446939b73b67f252743a877645220341f72e2f

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

Resolution
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:e639d4084d03c6a118f416e3896dceb5029cda3fdcff1e17328b5cb831745160

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.540563Z digest=sha256:7b08b48bb1e72a38bb5aa389f47f9aeb3738a02e7243777acb2efbbe2acd36c5

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

Resolution
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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.544604Z digest=sha256:1b3243ebeee3c072dc2f21fb1b510bbb62f0f5857f58c4d8569a8866822344c8

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:b5f558be6183ce067c62f78b8ca7859dfca8a10da2ec93a20077c130c73fe1ef

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

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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=sha256:8e454a92f21f0e01a541602d2993e7becfa9c92bb60483b60a7e7d3c5cc7c381

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=sha256:27d656d785eb69dd035ad941212469f530cb6a597a475a6f6851e65ac945471b

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:eade0a8397c938bcb57f4283a9f5575c51294651c6eac98fc4436b8820e24ea2

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.566106Z digest=sha256:3e2aad56a6078e05afd3e80fa60acb17a7deefa46c5f16009047891b84543fda

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

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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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.570152Z digest=sha256:955142aa06522e364f518379c2a10b89badd9dd63c350f2c3f60f0906c1ff189

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=sha256:1285406692da7c62bde6b3be5d28e38a48c727a6fa7199a2a1aba9436adbeb44

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.579924Z digest=sha256:afdf5215ad1d36b7546675bb3aa4bd66839bc0b0ca85ee278a1e9875a042c633

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.583997Z digest=sha256:f701dea7872cb591c1800c601061407107deae0900aab1c5c44716eb28332987

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=sha256:8d7ac871b0f0d1b2d790683310f281ea7352fee5e9da2a8d125c48e2b27dd183

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.592256Z digest=sha256:ddf48916aa3c958f3d44efba570fa24629836234e1e3d23aea32b6f505f7109f

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

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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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.596657Z digest=sha256:123cfbfd74a98ccb8623340592265a92924ffb7fa5606becc93d646761cee0a3

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:a62abf2013b626d02879e77980cf5199d6264c51a60f0440c87e78775a2a05a8

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

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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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.604878Z digest=sha256:b4b06f17a719daf85bc0ebc42e96edb65fa2060cb202b4c4b5fdb6d8f12f0752

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.609317Z digest=sha256:06d2a56929d06384157a57175432383284237fa6c96d2f54a95885fe5eec54f7

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.613230Z digest=sha256:0a8e6531440b9489b1267985779d14980d2b0d0aced7f1c7c23c92e038c0a0c6

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.617089Z digest=sha256:4ab13e868104881bce31b47b8cf586fb32eadd350cebdc5db57d735e929b8b77

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=sha256:1dfbce2bbd10e21593a015646017ecbe3fce22d0637ad759ced6ee873e230b33

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.625630Z digest=sha256:76933dee916c3b803efb3ea5b3e5f67f3334c5b164bee4f2c54b9a7e31349e99

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=sha256:163aeed8f9d3f10874e833bc3318698e1efdcf9d1f5294d9becce0e2a3aef803

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-06T19:25:08.634305Z digest=sha256:bd0eb16aef0ff9548bb6537c56d907ba197b2df3c8e5add1788b99b43454c53c

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=sha256:7d6e622c0095ca17719dcf1d32f66bbd7fb229b26c81ef175f3a280b083dc2cc

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=sha256:18b14113d11321b5b981577e4db0c18331cf38fdda629da8cbb9fc025aeae180

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:ee11b6f32d62cb093de5b1a5574cdc3f301109be8da28513b2f87aed7e98ea4e

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:b412a188a02e9cc55247af1b99f303006426a34a5d9688c83944a5e3c60ad72e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-05-12T03:15:40.944411Z digest=sha256:afca322d0bbc5b6a1365034fa34d70ef1d93764a90e643fdfa444a1c89d04ab3

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-06-27T10:21:12.782864Z digest=sha256:c33814f92109e0753d977ac2dffb8c30f45e729f7f6984326ad67e498af1d2b9