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Paper Citation Record · LEDGER

NeMo: Needle in a Montage for Video-Language Understanding

As of 16 August 2026, this Paper Citation Record lists 98 of 98 outbound references and 2 inbound Pith citation observations for arXiv:2509.24563.

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

pith.paper-citation-record.v1
2509.24563 v3

Coverage vector

measured 98 of 98 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T13:54:29.374784Z

measured 100 of 100 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T06:16:07.090870Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:16:47.793976Z

Reference resolution

98 of 98 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved97
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 283cac6a-fca1-4823-9170-137e8bcb1470 · outbound

This paper cites Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond.

NeMo: Needle in a Montage for Video-Language Understanding Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond

Reference 1

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source=arxiv_source observed=2026-08-04T13:54:08.764736Z digest=sha256:01be8046e260e7b2cd6d3398331ba62ac3cc4cea1cb5e2a5d7d8c3122a515e0c

Observation 2e69522c-739e-4006-9227-cd28d3c22a5c · outbound

This paper cites Qwen2.5-VL Technical Report.

NeMo: Needle in a Montage for Video-Language Understanding Qwen2.5-VL Technical Report

Reference 2

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source=arxiv_source observed=2026-08-04T13:54:08.877587Z digest=sha256:6548f9a58442b7cb3ca571537fbd5e186badadc51f80d90bf6adceb4bebe7781

Observation 1b4abc65-7bf5-4b64-a4d7-887bb878aafb · outbound

This paper cites , Eyzaguirre , C.

NeMo: Needle in a Montage for Video-Language Understanding , Eyzaguirre , C

Reference 3

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source=arxiv_source observed=2026-08-04T13:54:09.111720Z digest=sha256:80af86fcd5f741f873cee7e8625e9a81ecff70b0e48bce313f591ee566ec6bed

Observation ea53d9a7-2466-4f8e-8068-589d9e6698a4 · outbound

This paper cites , Mann , B.

NeMo: Needle in a Montage for Video-Language Understanding , Mann , B

Reference 4

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source=arxiv_source observed=2026-08-04T13:54:09.453811Z digest=sha256:1cdb742314c43ab6e7edaaad7449bf1c4440a2f97c434af24e6b002a7b4096fb

Observation 94521947-1bf0-4cec-91c5-893b92c7c2de · outbound

This paper cites , Nagrani , A.

NeMo: Needle in a Montage for Video-Language Understanding , Nagrani , A

Reference 5

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source=arxiv_source observed=2026-08-04T13:54:09.924452Z digest=sha256:a23ccc8085bd0457924ca6354387c5688ae4b9d5f4d761aec916ab3263df071d

Observation f2da631e-3c10-415b-8659-6e2a8d6d3c54 · outbound

This paper cites , Gupta , A.

NeMo: Needle in a Montage for Video-Language Understanding , Gupta , A

Reference 6

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source=arxiv_source observed=2026-08-04T13:54:10.103488Z digest=sha256:ca72b69473538e5915dcbb8240bd94e8b0656919bcfb892e051a1c8738834144

Observation 060dab20-1593-4ec9-a9f3-a44a2a8a761c · outbound

This paper cites , Liu , Y.

NeMo: Needle in a Montage for Video-Language Understanding , Liu , Y

Reference 7

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source=arxiv_source observed=2026-08-04T13:54:10.284552Z digest=sha256:d9e534875861b714421c4bec023769bd02512fbcfc524c11af49fbb238119566

Observation 1d6d4058-0943-4a0e-a2f2-21bf38301b43 · outbound

This paper cites , Liao , Y.

NeMo: Needle in a Montage for Video-Language Understanding , Liao , Y

Reference 8

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source=arxiv_source observed=2026-08-04T13:54:10.395101Z digest=sha256:f21c112f93137df0c69334809395ccc0e2977181d4ccaeb90282c8146455f52e

Observation d9ebc9c1-ef6f-43b8-ae51-5cd5847b885c · outbound

This paper cites , Lin , Y.

NeMo: Needle in a Montage for Video-Language Understanding , Lin , Y

Reference 9

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source=arxiv_source observed=2026-08-04T13:54:10.543489Z digest=sha256:31df3c25597692610e0b4b3fe4bb9d6f03a97a05b00bab418cf5d0208ff2e0fa

Observation 51a843ef-0bfd-4bbc-b70b-8103019f183e · outbound

This paper cites , Oh , S.W.

NeMo: Needle in a Montage for Video-Language Understanding , Oh , S.W

Reference 10

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source=arxiv_source observed=2026-08-04T13:54:10.702207Z digest=sha256:90e26e4bdc6dd73aa3469e3a4301fde2e48c8d7177f3a071bd6811d743fbad42

Observation a461ddf9-3200-4aa7-9370-1e544c1d9bbe · outbound

This paper cites , Siarohin , A.

NeMo: Needle in a Montage for Video-Language Understanding , Siarohin , A

Reference 11

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source=arxiv_source observed=2026-08-04T13:54:11.060679Z digest=sha256:2fe34ec6f232851655fa8cd626fb5b8796147091eb676cab81997c4828a899a9

Observation af06448f-fba1-4f4c-bcbd-94a2990c6610 · outbound

This paper cites TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models.

NeMo: Needle in a Montage for Video-Language Understanding TemporalBench: Benchmarking Fine-grained Temporal Understanding for Multimodal Video Models

Reference 12

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source=arxiv_source observed=2026-08-04T13:54:11.277795Z digest=sha256:354f1ed177254f4d1ba1b7671c036223bc35c8cdcf6a00bd98a340d21ab0d10a

Observation 7f0bb09d-b000-4822-8fd2-1f2a8d064481 · outbound

This paper cites , Wei , X.

NeMo: Needle in a Montage for Video-Language Understanding , Wei , X

Reference 13

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source=arxiv_source observed=2026-08-04T13:54:11.461571Z digest=sha256:66a8e5065de36e8c2420fb082b08ce1e3e05ea5c3db57ed28b2faa8b063b352d

Observation be2b616d-94d5-4e57-a50b-a7923531a09e · outbound

This paper cites InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks.

NeMo: Needle in a Montage for Video-Language Understanding InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 14

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source=arxiv_source observed=2026-08-04T13:54:11.730085Z digest=sha256:44a1eccd0142375967c5292517feac06b0399e830eeb630ab5601fa3fc50df77

Observation d5952cad-0ad6-4855-968c-1f95b3c5c446 · outbound

This paper cites , Xue , F.

NeMo: Needle in a Montage for Video-Language Understanding , Xue , F

Reference 15

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source=arxiv_source observed=2026-08-04T13:54:11.985942Z digest=sha256:fb66eeeea135f7267b61ba5dff59619083e261edb13851dcc8e2a40a5c8f193f

Observation 97559c8f-37dc-492c-b188-dc563c0fcde6 · outbound

This paper cites , Dai , Y.

NeMo: Needle in a Montage for Video-Language Understanding , Dai , Y

Reference 16

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source=arxiv_source observed=2026-08-04T13:54:12.134882Z digest=sha256:36fae63a0e6df4cea9699c7eb1d9b4851ee6eaf8eef7e09f1e77d6e72afdb2eb

Observation e1496b82-f9be-42d2-abb4-a4383dc524a9 · outbound

This paper cites , Hua , W.

NeMo: Needle in a Montage for Video-Language Understanding , Hua , W

Reference 17

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source=arxiv_source observed=2026-08-04T13:54:12.262235Z digest=sha256:02b9d28fb14dcda44861f1cbe6e3c094d33bf2cf7a6c8dd1a7dc017b6f2eedf7

Observation 2a08350e-dca1-4718-923b-e9386a224a4f · outbound

This paper cites , Mao , K.

NeMo: Needle in a Montage for Video-Language Understanding , Mao , K

Reference 18

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source=arxiv_source observed=2026-08-04T13:54:12.458584Z digest=sha256:32d936b6b42208188d0fb61c536008a31cbfc345d3de56e1d79eb4f83ba4eb0a

Observation 5ba5af1b-e51f-43eb-bac1-6f78edabc7f9 · outbound

This paper cites , Wang , W.

NeMo: Needle in a Montage for Video-Language Understanding , Wang , W

Reference 19

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source=arxiv_source observed=2026-08-04T13:54:12.613291Z digest=sha256:f2768e39cd8263fdd73690a8db4b5ca2fbcf54ef95c1f3b05bc7c1969b8ab4e6

Observation 5d4ae7d1-6209-4374-bd1e-8ed71cacd313 · outbound

This paper cites u nd , I. , Yianilos , P. , Mueller - Freitag , M. , Hoppe , F. , Thurau , C. , Bax , I. , Memisevic , R. : The.

NeMo: Needle in a Montage for Video-Language Understanding u nd , I. , Yianilos , P. , Mueller - Freitag , M. , Hoppe , F. , Thurau , C. , Bax , I. , Memisevic , R. : The

Reference 20

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source=arxiv_source observed=2026-08-04T13:54:12.831717Z digest=sha256:5d884e5ebe31adc7f9aed471a9f1dc57942e1c50fb7aaf7c55b2d4be1fdc0b87

Observation 9260b68c-9280-4ed2-8e3e-c0911775a485 · outbound

This paper cites , Sun , C.

NeMo: Needle in a Montage for Video-Language Understanding , Sun , C

Reference 21

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source=arxiv_source observed=2026-08-04T13:54:13.031659Z digest=sha256:8a4c458230af02fcb2705e979fe0bad92a9bbf954634a812ed5cca6c049c67c9

Observation 02385ae6-844b-4584-b3a3-915d2bb2765e · outbound

This paper cites , Westbury , A.

NeMo: Needle in a Montage for Video-Language Understanding , Westbury , A

Reference 22

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source=arxiv_source observed=2026-08-04T13:54:13.203489Z digest=sha256:e8f6622cd20c29c734080782ec01514d636d668954cc7f48a8b04595ba9cfaaf

Observation b24b99a9-47dc-48d2-84da-ee254aeb7175 · outbound

This paper cites , Escorcia , V.

NeMo: Needle in a Montage for Video-Language Understanding , Escorcia , V

Reference 23

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source=arxiv_source observed=2026-08-04T13:54:13.360587Z digest=sha256:2f19ee8088ef6fbe8dd7b0825148e654183672131adbddc498f0c9bb3ec768fb

Observation 85647e40-b936-4304-a792-d55312903edf · outbound

This paper cites , Feng , W.

NeMo: Needle in a Montage for Video-Language Understanding , Feng , W

Reference 24

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source=arxiv_source observed=2026-08-04T13:54:13.536516Z digest=sha256:6b309ee9a10a9f34822dc47f2c3a924bc17fd2bb23c5a80278e5c51f0c5e7380

Observation 0d748787-13d8-493c-9e7d-71d94b9a2445 · outbound

This paper cites Open-Set Image Tagging with Multi-Grained Text Supervision.

NeMo: Needle in a Montage for Video-Language Understanding Open-Set Image Tagging with Multi-Grained Text Supervision

Reference 25

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source=arxiv_source observed=2026-08-04T13:54:13.702739Z digest=sha256:24c08ae2a2e5c8bb76d651fc9a5b3bcb8cfcf25c76b52545297182323d6abdc3

Observation 4c9bec84-57e7-4346-8947-ca318dca12ef · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

NeMo: Needle in a Montage for Video-Language Understanding RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 26

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source=arxiv_source observed=2026-08-04T13:54:13.845691Z digest=sha256:389c5b814bc06b80bf4b49fd64ce0e949f26aae9dbe050e34c253256dc0c21a4

Observation bbff4cc6-5e2f-4a93-9169-1279b690e3d9 · outbound

This paper cites , Wang , X.

NeMo: Needle in a Montage for Video-Language Understanding , Wang , X

Reference 27

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source=arxiv_source observed=2026-08-04T13:54:14.027873Z digest=sha256:15128b7763c736b2a36d347f838f46fd4befcead2b8f064a2fcd5a66f803ab25

Observation b57281fa-1794-4517-9b12-31f4fb6d763a · outbound

This paper cites Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos.

NeMo: Needle in a Montage for Video-Language Understanding Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos

Reference 28

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source=arxiv_source observed=2026-08-04T13:54:14.160705Z digest=sha256:0c51fbae8fce5d2b970b4bb99c791079a216f1efef2e00856be62131c05973a6

Observation 5c7dfb03-500f-4c6e-b579-d48745a2b18e · outbound

This paper cites , Zhong , Y.

NeMo: Needle in a Montage for Video-Language Understanding , Zhong , Y

Reference 29

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source=arxiv_source observed=2026-08-04T13:54:14.308027Z digest=sha256:53444f0708509da30267f5f2dc99c9edb1dfb39dd94a85dacbbda742a5adde7a

Observation 8f050d82-e401-4a2a-b4b5-12e859bef97d · outbound

This paper cites , Gimeno , F.

NeMo: Needle in a Montage for Video-Language Understanding , Gimeno , F

Reference 30

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source=arxiv_source observed=2026-08-04T13:54:14.451466Z digest=sha256:be0c2cf450e20e394a6a9d269fb314fda0974a7929e7f65d05fb150923a6ab48

Observation 12475669-5d19-4036-aad1-6b1602220418 · outbound

This paper cites , Song , Y.

NeMo: Needle in a Montage for Video-Language Understanding , Song , Y

Reference 31

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source=arxiv_source observed=2026-08-04T13:54:14.605876Z digest=sha256:2f51bc80b6e58c4b0cbaedba875f1c82c72f7888bfe7cc949b05970a6be6e644

Observation a0d5526c-23c6-4a18-a288-d9afdad62b89 · outbound

This paper cites : Needle in a haystack-pressure testing llms.

NeMo: Needle in a Montage for Video-Language Understanding : Needle in a haystack-pressure testing llms

Reference 32

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source=arxiv_source observed=2026-08-04T13:54:14.786797Z digest=sha256:b7912db8d92238f4c05ab24dd54084c1dfcb21c96201c5c891fe8ad4cf99b036

Observation 0b5e3157-1acc-47db-af80-e9c98d2e28e0 · outbound

This paper cites , Bulatov , A.

NeMo: Needle in a Montage for Video-Language Understanding , Bulatov , A

Reference 33

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source=arxiv_source observed=2026-08-04T13:54:15.040558Z digest=sha256:d8e7d2dcfcd5789d3fe466ac022bc2d1ddc917f67f6611bcd518a9e3bc09bffb

Observation ef9df77f-cd3b-4908-8763-1b27198d3340 · outbound

This paper cites In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss.

NeMo: Needle in a Montage for Video-Language Understanding In Search of Needles in a 11M Haystack: Recurrent Memory Finds What LLMs Miss

Reference 34

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source=arxiv_source observed=2026-08-04T13:54:15.195529Z digest=sha256:5d65edb09ef257af6a04ba86a3b108810aa572f7663b7953f4b3d67d1a8b9ff5

Observation 39e8eb17-226b-47b3-a925-3343d6093b96 · outbound

This paper cites , Berg , T.L.

NeMo: Needle in a Montage for Video-Language Understanding , Berg , T.L

Reference 35

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source=arxiv_source observed=2026-08-04T13:54:15.336991Z digest=sha256:fabc733f3264df65519cbfd88ce35949f1bfb0006be089c2684523ed3684c5c1

Observation 4880c9fe-dc2e-4103-adad-2d91bd29d674 · outbound

This paper cites VideoVista: A Versatile Benchmark for Video Understanding and Reasoning.

NeMo: Needle in a Montage for Video-Language Understanding VideoVista: A Versatile Benchmark for Video Understanding and Reasoning

Reference 36

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source=arxiv_source observed=2026-08-04T13:54:15.574763Z digest=sha256:0178eb2c28109f7267d16d68db6cda7078178e1c431ca30a755db147ff3690a9

Observation 6c22f87d-7008-4283-989e-2589f7a06444 · outbound

This paper cites , Dong , Y.

NeMo: Needle in a Montage for Video-Language Understanding , Dong , Y

Reference 37

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source=arxiv_source observed=2026-08-04T13:54:15.786800Z digest=sha256:e83d6fbeb2073713f40bbe1381bcff840da9a642c5e64d39c96a3137546944ff

Observation 4b291f16-a97a-4484-8fb4-dfbb6312d57e · outbound

This paper cites , Ge , Y.

NeMo: Needle in a Montage for Video-Language Understanding , Ge , Y

Reference 38

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source=arxiv_source observed=2026-08-04T13:54:15.992999Z digest=sha256:c4bd1dcc45ab26271e0111f13e4a4d4ebe1c05bd816559ed677473cf856f26aa

Observation fe7d6d96-1702-4b5d-a681-cb8cf4ea3c0f · outbound

This paper cites VideoChat: Chat-Centric Video Understanding.

NeMo: Needle in a Montage for Video-Language Understanding VideoChat: Chat-Centric Video Understanding

Reference 39

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source=arxiv_source observed=2026-08-04T13:54:16.169465Z digest=sha256:1e7407b6af96ec7ebd3ec46db78d7febfd71a7aa1639fa686b6297353143aba5

Observation 0754fe08-0436-4776-8cc8-44b7bc4c06ed · outbound

This paper cites Time-R1: Towards Comprehensive Temporal Reasoning in LLMs.

NeMo: Needle in a Montage for Video-Language Understanding Time-R1: Towards Comprehensive Temporal Reasoning in LLMs

Reference 40

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source=arxiv_source observed=2026-08-04T13:54:16.406981Z digest=sha256:71474ff9e4420fdf39c224856bf4fd5970f85f6b5fafd820c3b6ac6d9b03e04c

Observation 4d65d89b-4ab2-4181-9985-111fa9476d9d · outbound

This paper cites , Li , S.

NeMo: Needle in a Montage for Video-Language Understanding , Li , S

Reference 41

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source=arxiv_source observed=2026-08-04T13:54:16.549204Z digest=sha256:32b4685235860039dbdd30a94854fccba1a6a3db2380227fe368f1f0234aefab

Observation 8932034b-30b6-46a2-8393-0bc1a8917036 · outbound

This paper cites , Ma , Z.

NeMo: Needle in a Montage for Video-Language Understanding , Ma , Z

Reference 42

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source=arxiv_source observed=2026-08-04T13:54:16.723218Z digest=sha256:cfca03c1315db6b76057a537582d295ebd56582ea16a7d7ff69fba5af97582a1

Observation e94f4b12-6856-41cd-a9cb-1bf3077f1025 · outbound

This paper cites , Wang , Y.

NeMo: Needle in a Montage for Video-Language Understanding , Wang , Y

Reference 43

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source=arxiv_source observed=2026-08-04T13:54:16.897863Z digest=sha256:52d0382ee317691fa148b97e346fefcb2ef266c20578b44779f5c03aedb30723

Observation 500660a9-c348-4cb6-828d-0a43963438fe · outbound

This paper cites , Wong , T.L.

NeMo: Needle in a Montage for Video-Language Understanding , Wong , T.L

Reference 44

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source=arxiv_source observed=2026-08-04T13:54:17.065543Z digest=sha256:764ad7db8ba7cdfbda0fd175f4cfe99892d42dfae87a6f740b5069c8098a7944

Observation a795f0a8-bb8b-4e84-8450-33722b4fe416 · outbound

This paper cites , Wu , H.

NeMo: Needle in a Montage for Video-Language Understanding , Wu , H

Reference 45

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source=arxiv_source observed=2026-08-04T13:54:17.260776Z digest=sha256:416ad287aaeab5953843e7debbbb25627b988e0d27b6ccd8af13febb0428ae93

Observation 2634fb79-4331-4169-8d4d-f4ce03c459a3 · outbound

This paper cites , Yin , H.

NeMo: Needle in a Montage for Video-Language Understanding , Yin , H

Reference 46

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source=arxiv_source observed=2026-08-04T13:54:17.386727Z digest=sha256:c664b916695747e282a9170f27bfc933277bd1b01ee5b4c580b50fd0e63b747f

Observation 94e2948f-d413-4596-9be4-a848e6b0f05c · outbound

This paper cites , Ye , Y.

NeMo: Needle in a Montage for Video-Language Understanding , Ye , Y

Reference 47

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source=arxiv_source observed=2026-08-04T13:54:17.584746Z digest=sha256:8d0e1c9194c4ee3389219bbf04fe029611ede21e6c0cc41bdc082d8c53015fee

Observation 1c0ec044-a49b-4e77-98bc-91adb8122c60 · outbound

This paper cites , Zhang , P.

NeMo: Needle in a Montage for Video-Language Understanding , Zhang , P

Reference 48

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source=arxiv_source observed=2026-08-04T13:54:17.724337Z digest=sha256:213ee6858208b18b72f9e27e87577448e35a2bc5a0b3e73d8f49ac11d1dfcbad

Observation af005f62-3e1a-469e-bf8b-1e585abfc872 · outbound

This paper cites , Zhang , Y.

NeMo: Needle in a Montage for Video-Language Understanding , Zhang , Y

Reference 49

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source=arxiv_source observed=2026-08-04T13:54:17.896156Z digest=sha256:2eeee06138e20b713d712afd8958e391f74d44acf06d87c3da7d4726f0f67c4b

Observation c1162306-1c5b-483a-ba6f-d7c3fc26ddfb · outbound

This paper cites , Zheng , X.

NeMo: Needle in a Montage for Video-Language Understanding , Zheng , X

Reference 50

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source=arxiv_source observed=2026-08-04T13:54:18.445801Z digest=sha256:ac95975934b4039de816bd650d3b6e7437b1242fea80639784a2878468033050

Observation 704f1686-453e-4a85-8545-8ef5ad8cd00c · outbound

This paper cites VLM-Eval: A General Evaluation on Video Large Language Models.

NeMo: Needle in a Montage for Video-Language Understanding VLM-Eval: A General Evaluation on Video Large Language Models

Reference 51

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source=arxiv_source observed=2026-08-04T13:54:18.667591Z digest=sha256:c2f5846293ec7fc9c7aa10e494a297d89bedc3913a45e46b8a961db6b9b71a96

Observation aa5deeef-dd77-46cc-8ff5-8b7a840c4c9c · outbound

This paper cites , Akshulakov , R.

NeMo: Needle in a Montage for Video-Language Understanding , Akshulakov , R

Reference 52

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source=arxiv_source observed=2026-08-04T13:54:18.810746Z digest=sha256:bba53d1146cfc93af01f46b31df555fd61783196ca8174153f3e00d070deee32

Observation f917d7a8-8f87-4225-a887-fc679e5902ed · outbound

This paper cites , Rasheed , H.A.

NeMo: Needle in a Montage for Video-Language Understanding , Rasheed , H.A

Reference 53

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source=arxiv_source observed=2026-08-04T13:54:18.930839Z digest=sha256:0ec5b0eeb417496879398d6179f979e41803445593ab09b7c5e484bc2c5e74dc

Observation ab2acae2-096e-49db-a432-7471022ac7b0 · outbound

This paper cites Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models.

NeMo: Needle in a Montage for Video-Language Understanding Video-Bench: A Comprehensive Benchmark and Toolkit for Evaluating Video-based Large Language Models

Reference 54

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source=arxiv_source observed=2026-08-04T13:54:19.068356Z digest=sha256:bbc08da61bec7ed8321841efddfd10cb1059869bdc6e4643ad2ca18c247ef1bc

Observation 6aa74b27-66f1-4b57-bf33-ba457e26b1e5 · outbound

This paper cites GPT-4 Technical Report.

NeMo: Needle in a Montage for Video-Language Understanding GPT-4 Technical Report

Reference 55

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source=arxiv_source observed=2026-08-04T13:54:19.204963Z digest=sha256:4ac342e59d3cce9b00a4769fef9f816fd29252ddb77e66317dd098a6031c8c23

Observation 9e3b1973-91ac-43b7-9caf-04cbba3339c4 · outbound

This paper cites https://openai.com/index/hello-gpt-4o/.

NeMo: Needle in a Montage for Video-Language Understanding https://openai.com/index/hello-gpt-4o/

Reference 56

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source=arxiv_source observed=2026-08-04T13:54:19.443264Z digest=sha256:bda20010518d1a751c53c335f9420fd93e969bd0f34bf74d10428e4c2cf7127f

Observation f17c7193-62f8-413c-b222-ace8d03153b1 · outbound

This paper cites , Smaira , L.

NeMo: Needle in a Montage for Video-Language Understanding , Smaira , L

Reference 57

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source=arxiv_source observed=2026-08-04T13:54:19.553034Z digest=sha256:61756c884b8bf7ce3a7479cf2afd34ab7b5e01e29455f98485d91082a1ca1dd7

Observation 0d99ecdd-33e9-47dc-9c4b-46c42121e485 · outbound

This paper cites , Li , J.

NeMo: Needle in a Montage for Video-Language Understanding , Li , J

Reference 58

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source=arxiv_source observed=2026-08-04T13:54:19.611866Z digest=sha256:74a651abf4ab1a856c07f8f30d8fb95a9034df7c3a88c1f02e4b60409f5fa7f4

Observation 665413de-4651-4714-a9e4-9f4c826321cb · outbound

This paper cites , Kim , J.W.

NeMo: Needle in a Montage for Video-Language Understanding , Kim , J.W

Reference 59

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source=arxiv_source observed=2026-08-04T13:54:19.692015Z digest=sha256:007dac3dec648b9cdb39cdcea2d5fed18086f59beecb53b0ba32f0a8631b501a

Observation 444abe26-5f32-4bcb-a16e-32c08b51f4b6 · outbound

This paper cites , Rohrbach , M.

NeMo: Needle in a Montage for Video-Language Understanding , Rohrbach , M

Reference 60

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source=arxiv_source observed=2026-08-04T13:54:19.797593Z digest=sha256:6c6250ecf41fb3738c5e8f052414ebe9b80641d14eeca8141ce5f4c70c1162d0

Observation 6764ad0a-596a-4f49-8edd-053a6f589cd5 · outbound

This paper cites Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

NeMo: Needle in a Montage for Video-Language Understanding Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 61

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source=arxiv_source observed=2026-08-04T13:54:19.865390Z digest=sha256:64fa61c3e336b6356964869657bfef89c3ae76861fea7c11a7310c2bbd650e76

Observation 799843c9-944f-41d1-825f-c768e4c47e81 · outbound

This paper cites , Yao , L.

NeMo: Needle in a Montage for Video-Language Understanding , Yao , L

Reference 62

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source=arxiv_source observed=2026-08-04T13:54:19.934743Z digest=sha256:8bd70c179866006000033642a9d19c960e59864e1aad8db6ac4e1be6074d66b9

Observation 1c72dee3-0c15-4d9a-97ba-0305b9b28ce5 · outbound

This paper cites , Chai , W.

NeMo: Needle in a Montage for Video-Language Understanding , Chai , W

Reference 63

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source=arxiv_source observed=2026-08-04T13:54:20.375432Z digest=sha256:a60d63c29ec43e7b9750e0ba94f1659e1847d82d408b4022d64d4161291f157f

Observation 9206c9d4-8fef-4a1e-9091-8efc84376f28 · outbound

This paper cites , Di , S.

NeMo: Needle in a Montage for Video-Language Understanding , Di , S

Reference 64

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source=arxiv_source observed=2026-08-04T13:54:20.524473Z digest=sha256:a731cec4aad3d175fc55790c1d3aceb7de8f5157196973c75cb3b1fd1fcaed3f

Observation 59f04be9-eaad-4e34-b309-0718aeab06dd · outbound

This paper cites , Xiong , Y.

NeMo: Needle in a Montage for Video-Language Understanding , Xiong , Y

Reference 65

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source=arxiv_source observed=2026-08-04T13:54:20.775509Z digest=sha256:11ab6f50ae7d7696b9800b060ee34babcd147ca3fa2cdf6e24b213e79a0772c1

Observation 8075076c-ab8c-42af-9475-5807a2d90d83 · outbound

This paper cites Counting-Stars: A Multi-evidence, Position-aware, and Scalable Benchmark for Evaluating Long-Context Large Language Models.

NeMo: Needle in a Montage for Video-Language Understanding Counting-Stars: A Multi-evidence, Position-aware, and Scalable Benchmark for Evaluating Long-Context Large Language Models

Reference 66

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source=arxiv_source observed=2026-08-04T13:54:21.003595Z digest=sha256:8483e8a7408528955b3fc164c41cf7a903ce7343822c05146b69cbfa8ebb4098

Observation c12f99de-bb68-4007-90ad-d67655054810 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

NeMo: Needle in a Montage for Video-Language Understanding LLaMA: Open and Efficient Foundation Language Models

Reference 67

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source=arxiv_source observed=2026-08-04T13:54:21.301920Z digest=sha256:bacaedfacd2c33876f7f0a255a299176b15ed2c96ef931fe250844444b97fcac

Observation a9eb2374-ab92-4bf7-95da-f3942a411f7b · outbound

This paper cites , Menick , J.

NeMo: Needle in a Montage for Video-Language Understanding , Menick , J

Reference 68

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source=arxiv_source observed=2026-08-04T13:54:21.804878Z digest=sha256:ceac55aed714a5b906abd46ac5e93ea19b7be3b3148fd9d67ba4176e166fb0c3

Observation c4b574e1-d81d-4aba-a527-cc3e57d060d9 · outbound

This paper cites Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution.

NeMo: Needle in a Montage for Video-Language Understanding Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any Resolution

Reference 69

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source=arxiv_source observed=2026-08-04T13:54:22.097567Z digest=sha256:ff65ad155c27b23a04db942df90d20ae6616de576bf3b2888d721bdb4f403e95

Observation 478412a5-c231-4489-8bcc-9f7fd8a15a2e · outbound

This paper cites , He , Z.

NeMo: Needle in a Montage for Video-Language Understanding , He , Z

Reference 70

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source=arxiv_source observed=2026-08-04T13:54:22.658295Z digest=sha256:6339ff4cb0266c65fad15ae4a8528302ed6ded3683f6194cf9b3aaf17cd4431b

Observation a28abae6-1120-4725-814e-19d7b07117d6 · outbound

This paper cites , He , Y.

NeMo: Needle in a Montage for Video-Language Understanding , He , Y

Reference 71

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source=arxiv_source observed=2026-08-04T13:54:23.195587Z digest=sha256:83539ec620bb7ec4aabc34a8ca4ab015b04a1f8250c3078b788a0d618f9d36a8

Observation 4da93000-c013-43cd-8a4b-11b1323d18dc · outbound

This paper cites , Li , D.

NeMo: Needle in a Montage for Video-Language Understanding , Li , D

Reference 72

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source=arxiv_source observed=2026-08-04T13:54:23.305597Z digest=sha256:8ec3e0e0e2450eee7580020af6bc43ae23ebd108e5615490db56a50145d3f497

Observation fc7bb28b-4a6c-4012-a36e-2de5257e0ac8 · outbound

This paper cites , Hang , T.

NeMo: Needle in a Montage for Video-Language Understanding , Hang , T

Reference 73

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source=arxiv_source observed=2026-08-04T13:54:23.434618Z digest=sha256:8e70427c7f7eb186fa8ca1233b6472bc470098c4631283a7f4c49668cd8a166f

Observation 73ef0504-11fc-445d-a760-01932bfdb9c6 · outbound

This paper cites , Shang , X.

NeMo: Needle in a Montage for Video-Language Understanding , Shang , X

Reference 74

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source=arxiv_source observed=2026-08-04T13:54:23.625525Z digest=sha256:cd2d208445699fe93514498b2d85a6c38a935c07fbad8f05cabbf6cf82d26614

Observation 140c789d-09f6-4718-9e71-ff7ed24118fa · outbound

This paper cites , Zhao , Z.

NeMo: Needle in a Montage for Video-Language Understanding , Zhao , Z

Reference 75

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source=arxiv_source observed=2026-08-04T13:54:23.832106Z digest=sha256:fc5fa4eb1c65f927f7f8dc4a944f806f2932d3ec5b6d29d1328a8f86eb81188b

Observation f96cc276-374a-4126-b85f-ece9c67b3bd6 · outbound

This paper cites , Gan , C.

NeMo: Needle in a Montage for Video-Language Understanding , Gan , C

Reference 76

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source=arxiv_source observed=2026-08-04T13:54:24.292742Z digest=sha256:6e1e4e471f5ff04609bcbb2eb5ad8518023248a83c711c91daa544d9d082788e

Observation 0c78f39c-1336-41ee-84ca-e6d84720e832 · outbound

This paper cites , Wu , Y.

NeMo: Needle in a Montage for Video-Language Understanding , Wu , Y

Reference 77

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source=arxiv_source observed=2026-08-04T13:54:24.695319Z digest=sha256:52a996e6175a513944343c5cda0dc1974304c64996d830982a72f58d809d3ad0

Observation 713ff8bd-db84-4b8e-9433-dd97208d8e3e · outbound

This paper cites , Wang , Z.

NeMo: Needle in a Montage for Video-Language Understanding , Wang , Z

Reference 78

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source=arxiv_source observed=2026-08-04T13:54:24.894941Z digest=sha256:599bf50280cd11acc57d0b7aff2a4434989040fda70642189ffa76f7a0da0c85

Observation 71939508-e1c3-4376-8bb6-6eb0b7b8a73a · outbound

This paper cites Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding.

NeMo: Needle in a Montage for Video-Language Understanding Tarsier2: Advancing Large Vision-Language Models from Detailed Video Description to Comprehensive Video Understanding

Reference 79

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source=arxiv_source observed=2026-08-04T13:54:25.161492Z digest=sha256:80b6a4fcc59366ff90c01edff03f8c8399f8514e621b6a18d662792126a13eef

Observation 3f927739-6fee-42ea-b716-29faacdf65aa · outbound

This paper cites , Xu , D.

NeMo: Needle in a Montage for Video-Language Understanding , Xu , D

Reference 80

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source=arxiv_source observed=2026-08-04T13:54:25.534804Z digest=sha256:c86d6d0c5f6706e4b173e1b840bd1fe859d33eb48651776f7ea79ca37ab80122

Observation 907226be-5621-4d5c-bf51-7ea9a9ca1267 · outbound

This paper cites Qwen2 Technical Report.

NeMo: Needle in a Montage for Video-Language Understanding Qwen2 Technical Report

Reference 81

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Observation cd6be1a8-2b96-4b0a-abdc-3af91bcae61f · outbound

This paper cites Qwen2.5 Technical Report.

NeMo: Needle in a Montage for Video-Language Understanding Qwen2.5 Technical Report

Reference 82

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Observation 985dfc5b-0f9e-4ba5-a88e-49f9938be2f8 · outbound

This paper cites MiniCPM-V: A GPT-4V Level MLLM on Your Phone.

NeMo: Needle in a Montage for Video-Language Understanding MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Reference 83

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Observation 63390885-f04a-4c1c-8def-5c8d8bd8e6a7 · outbound

This paper cites , Attarian , M.

NeMo: Needle in a Montage for Video-Language Understanding , Attarian , M

Reference 84

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Observation aeb11709-e75d-4a7d-874a-08261c6b2f5e · outbound

This paper cites , Cho , J.

NeMo: Needle in a Montage for Video-Language Understanding , Cho , J

Reference 85

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Observation 82ac6ff9-42f6-42fd-9742-59605366f0d4 · outbound

This paper cites , Chiang , W.

NeMo: Needle in a Montage for Video-Language Understanding , Chiang , W

Reference 86

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Observation 6b9dad1a-53ac-4228-8d09-edf33b1003e5 · outbound

This paper cites , Hu , Z.

NeMo: Needle in a Montage for Video-Language Understanding , Hu , Z

Reference 87

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NeMo: Needle in a Montage for Video-Language Understanding , Kong , T

Reference 88

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Observation 5bc2bd83-7721-4b45-8ed2-d7e9f8e16f63 · outbound

This paper cites , Li , X.

NeMo: Needle in a Montage for Video-Language Understanding , Li , X

Reference 89

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Observation 5ad1e557-b8a2-4928-8246-c1d9b19e3858 · outbound

This paper cites , Lu , H.

NeMo: Needle in a Montage for Video-Language Understanding , Lu , H

Reference 90

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Observation 906aa651-3177-490c-8d86-6388412dd67a · outbound

This paper cites , Lin , B.

NeMo: Needle in a Montage for Video-Language Understanding , Lin , B

Reference 91

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Observation 8e778e17-56dc-4dc4-bba4-d48ba65db18d · outbound

This paper cites From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding.

NeMo: Needle in a Montage for Video-Language Understanding From Seconds to Hours: Reviewing MultiModal Large Language Models on Comprehensive Long Video Understanding

Reference 92

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Observation ea9c175e-b0b1-4a1a-b11a-28304c5ae8af · outbound

This paper cites , Mustafa , B.

NeMo: Needle in a Montage for Video-Language Understanding , Mustafa , B

Reference 93

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Observation 1245ebd9-6053-47d7-bdc0-1bfaa4d7c565 · outbound

This paper cites , Shu , Y.

NeMo: Needle in a Montage for Video-Language Understanding , Shu , Y

Reference 94

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Observation 39d07d97-ced1-4091-be79-6c4b8520fb07 · outbound

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NeMo: Needle in a Montage for Video-Language Understanding , Wu , J

Reference 95

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Observation 5a3c93ec-a0a4-4975-b648-fbe485a2981e · outbound

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NeMo: Needle in a Montage for Video-Language Understanding , Zhang , K

Reference 96

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Observation 9836d868-311f-48c2-915c-dbfbd569f418 · outbound

This paper cites , Zhang , H.

NeMo: Needle in a Montage for Video-Language Understanding , Zhang , H

Reference 97

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Observation 67daa945-83a4-44ba-9a31-8185e99dd612 · outbound

This paper cites write newline.

NeMo: Needle in a Montage for Video-Language Understanding write newline

Reference 98

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Pith citing papers

Observation 519bfd50-8f88-4ee9-8710-20c456f92c99 · inbound

Cambrian-S: Towards Spatial Supersensing in Video cites this paper.

Cambrian-S: Towards Spatial Supersensing in Video NeMo: Needle in a Montage for Video-Language Understanding

Reference 54

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Observation 50b4d47d-1a3a-497f-ac6a-508eae836fc7 · inbound

M$^3$Eval: Multi-Modal Memory Evaluation through Cognitively-Grounded Video Tasks cites this paper.

M$^3$Eval: Multi-Modal Memory Evaluation through Cognitively-Grounded Video Tasks NeMo: Needle in a Montage for Video-Language Understanding

Reference 20

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