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Paper Citation Record · LEDGER

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching

As of 11 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 1 inbound Pith citation observation for arXiv:2512.03553.

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

pith.paper-citation-record.v1
2512.03553 v3

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T18:48:56.838947Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T09:43:22.054789Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-03T10:58:03.521381Z

Reference resolution

41 of 41 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved39
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fe37ee3c-d14f-4134-9ce9-42faa69e4868 · outbound

This paper cites Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Advancing Content Moderation: Evaluating Large Language Models for Detecting Sensitive Content Across Text, Images, and Videos

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:48:52.712658Z digest=sha256:cf1d09db023107f5d1643f345bd35f104e3a92be46c39cb260cf04d5b0622bfe

Observation 6ea923f9-08dc-4c18-b855-2a0c36d16eb6 · outbound

This paper cites HateBERT: Retraining BERT for Abusive Language Detection in English.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching HateBERT: Retraining BERT for Abusive Language Detection in English

Reference 2

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source=pdf_text observed=2026-08-03T18:48:52.797726Z digest=sha256:f3147259df7d1ddb17de657beafb1b8f70b5550cd9daeac656678af652f9e79d

Observation d40dbdb3-c9e9-47f9-9dcf-47bc5d3bb1e6 · outbound

This paper cites an unresolved cited work.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Unresolved cited work

Reference 3

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source=pdf_text observed=2026-08-03T18:48:52.894582Z digest=sha256:ae6949c14686bdd527570c1cf20c9b755c3e56b6c5ba5ac10c544bbfd39c2db3

Observation 48d1aeb8-84b5-446c-a753-55e3e406594e · outbound

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

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks

Reference 4

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no resolver link, observed 2026-08-03T18:48:52.986234Z

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source=pdf_text observed=2026-08-03T18:48:52.986234Z digest=sha256:54e6822d7b66430bb523cb98c63f5933ee5afdf195f766d385ead96a7c3eed2a

Observation b2fca029-712f-4cfe-9d69-cc6c5f6b7842 · outbound

This paper cites Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Qwen-Audio: Advancing Universal Audio Understanding via Unified Large-Scale Audio-Language Models

Reference 5

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:48:53.066189Z digest=sha256:5165eea391ba5100a8732bc0ba4e47560e6bc71eb1caca2ac1b7d0dc12e4b717

Observation 48562fe0-a670-4279-9b96-d3334ea4d242 · outbound

This paper cites an unresolved cited work.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Unresolved cited work

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:48:53.139658Z digest=sha256:cfa762e4ec2e5928b55cd76cced5785aa8cfed3c0d2c4c95a3b6c44a58e49702

Observation ee073fe1-5846-4625-9e01-8b39c42da3c9 · outbound

This paper cites an unresolved cited work.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Unresolved cited work

Reference 7

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source=pdf_text observed=2026-08-03T18:48:53.339212Z digest=sha256:f129f1cee2fdd743143da2e4332d65f69cc7eed065cb5141fde02780b478dced

Observation 08d4440c-b941-488c-951b-32031b8124a5 · outbound

This paper cites Measuring the Mental Health of Content Reviewers, a Systematic Review.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Measuring the Mental Health of Content Reviewers, a Systematic Review

Reference 8

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source=pdf_text observed=2026-08-03T18:48:53.411229Z digest=sha256:e17a8c9fb782122df57495a3868166d7bdf8547e66a5edffe71eaa5d40d0c593

Observation 9e37ea69-2ac3-48a0-a257-b915300678f1 · outbound

This paper cites an unresolved cited work.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Unresolved cited work

Reference 9

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:48:53.510633Z digest=sha256:9333f3995a3e7ba010dd51abb38c7ff2bb3942502e9f0687c56b7273b3f2d4e6

Observation 9c04751b-0e76-4803-ab68-00041fcf5084 · outbound

This paper cites an unresolved cited work.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Unresolved cited work

Reference 10

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no resolver link, observed 2026-08-03T18:48:53.592317Z

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source=pdf_text observed=2026-08-03T18:48:53.592317Z digest=sha256:1e92545ee89b4f254dfcfa2f365ff67e472554c706a409efcb9fb6a64025f451

Observation 563ccccd-c924-4d77-a31d-4442e06297d5 · outbound

This paper cites TransVCL: Attention-enhanced Video Copy Localization Network with Flexible Supervision.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching TransVCL: Attention-enhanced Video Copy Localization Network with Flexible Supervision

Reference 11

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source=pdf_text observed=2026-08-03T18:48:53.690807Z digest=sha256:d27a8ce6d7d68579c917b952876902c3dd513a486ac23b2bdb13874105f4f52f

Observation 2fac249c-6b38-42e3-872c-fede6a79f5b8 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Distilling the Knowledge in a Neural Network

Reference 12

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source=pdf_text observed=2026-08-03T18:48:53.796784Z digest=sha256:d5c3cd6d66355398e9d0702126e6f6aa667eb0274728170d228234cd648e3ff3

Observation d2a0777c-5441-4717-8f4f-8f4af9a4ec5d · outbound

This paper cites Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen

Reference 13

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source=pdf_text observed=2026-08-03T18:48:53.889321Z digest=sha256:b3e6ecfcfa84916390f603293f5e81a145bb156aec774df2fd6f622fe3cc47ab

Observation 55ab50c2-840f-41b0-b57b-518ba743f467 · outbound

This paper cites an unresolved cited work.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Unresolved cited work

Reference 14

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source=pdf_text observed=2026-08-03T18:48:53.989320Z digest=sha256:27c14819d98939f8eb10d85279c68a9548b67969b4eab571705e59ea2c81794e

Observation 703ac400-91bb-463c-be82-5f5ebf4aaf78 · outbound

This paper cites Predictive Embeddings for Hate Speech Detection on Twitter.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Predictive Embeddings for Hate Speech Detection on Twitter

Reference 15

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source=pdf_text observed=2026-08-03T18:48:54.077090Z digest=sha256:7d2a03a0332335551d6c6632c9616d5ff1e34374f54e8bdfcd620a709838aba2

Observation 2a2765d6-12d6-4ab1-b95b-9d6c870764ab · outbound

This paper cites Watch Your Language: Investigating Content Moderation with Large Language Models.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Watch Your Language: Investigating Content Moderation with Large Language Models

Reference 16

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source=pdf_text observed=2026-08-03T18:48:54.172527Z digest=sha256:cbacd08e1a0131837ed5a5e48a8fb08ec94a18b86171aa1a20f63ff5e92cedda

Observation 4e9cd65a-1c3e-4250-93e7-d689f54b34b3 · outbound

This paper cites an unresolved cited work.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-03T18:48:54.246590Z digest=sha256:f11dbe89b976da3e7895b8792621320a87c27d9491044ec53d5a213385575746

Observation 6c027ec9-7230-4712-9f53-d51c81a10a89 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching LLaVA-OneVision: Easy Visual Task Transfer

Reference 19

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source=pdf_text observed=2026-08-03T18:48:54.419889Z digest=sha256:1774c163f07f8af37aa7d661c73f02766ccc426ddbdfab8808d6ec00a489a7d5

Observation 3a867380-2f1b-46d3-a45a-6715c00d19b7 · outbound

This paper cites an unresolved cited work.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Unresolved cited work

Reference 20

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source=pdf_text observed=2026-08-03T18:48:54.480377Z digest=sha256:edcb2bee1362f05e74edc23e8c783fc070aca839d195273d5846683a5c57bab7

Observation 6db9a44c-2c2d-4529-842d-0e884870fd48 · outbound

This paper cites an unresolved cited work.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Unresolved cited work

Reference 21

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:48:54.548962Z digest=sha256:f9f1ac3599bf0fd87778fe6a79e4b266efceeb12acce5b9f53938de7131fe189

Observation 44118290-574c-43ea-b6df-b63e277ef2e2 · outbound

This paper cites VLM as Policy: Common-Law Content Moderation Framework for Short Video Platform.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching VLM as Policy: Common-Law Content Moderation Framework for Short Video Platform

Reference 22

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source=pdf_text observed=2026-08-03T18:48:54.598497Z digest=sha256:5ab1bfe33dc308eb7f69bbcd12ecb14597723088265133a2739ab1adea01c42d

Observation 57786802-38c3-415d-ac6b-3a41216aaf67 · outbound

This paper cites QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching QARM: Quantitative Alignment Multi-Modal Recommendation at Kuaishou

Reference 23

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source=pdf_text observed=2026-08-03T18:48:54.690268Z digest=sha256:8f07707e202c8bc67cbd778613dc6ff6cde4bce3210da9ef45a190883acb6040

Observation acd9f215-f518-465b-89f0-90d5606f79c4 · outbound

This paper cites an unresolved cited work.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-03T18:48:54.764155Z digest=sha256:f4a0083f32ad4485fabccdfbb7d623ca80b606e0ab5bc56c49a918ea8da637e0

Observation a962b614-0c31-46ad-a938-343a35dd5479 · outbound

This paper cites Malkov and Dmitry A.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Malkov and Dmitry A

Reference 25

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source=pdf_text observed=2026-08-03T18:48:54.857675Z digest=sha256:cec907f348d5c021ef1fb45598c418ae0f979e86bfbbf89937e0d6f7f0f7de57

Observation 0376eac0-adc6-4249-9330-61bc3c924d39 · outbound

This paper cites Taber, Andreas Damianou, and Mounia Lalmas.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Taber, Andreas Damianou, and Mounia Lalmas

Reference 26

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source=pdf_text observed=2026-08-03T18:48:54.942681Z digest=sha256:703428dc1c28ecc6d640267b5b437db496f5255d46c2ecf749f83dcd6e4c3bcd

Observation 5c9b5baf-df83-4ac1-b5d8-db01d1540c98 · outbound

This paper cites an unresolved cited work.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-03T18:48:55.279796Z digest=sha256:9b0b3f5369c73b95d324c5562c1ebd69609aa41b9055d737c05e135807ac6659

Observation 288e9317-5dee-43f7-bfeb-c03040873476 · outbound

This paper cites an unresolved cited work.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-03T18:48:55.383733Z digest=sha256:537850e705b4df84a1ff4570ce331d1973231f709f14a1b587dd432e6d44c1b3

Observation 4d0afa66-08f0-4b4c-a41b-635046680fe9 · outbound

This paper cites an unresolved cited work.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-03T18:48:55.478588Z digest=sha256:1c9a126d4e7e91b11e4764a8607b53e73e0bc1e15e3c944b2e88ddc71f6e3351

Observation 41d97590-a2c1-4e0f-9411-2942c8573130 · outbound

This paper cites Robust Speech Recognition via Large-Scale Weak Supervision.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Robust Speech Recognition via Large-Scale Weak Supervision

Reference 30

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source=pdf_text observed=2026-08-03T18:48:55.582985Z digest=sha256:05b0022cfabc7d66726af6ba68279ad81e10203adbc6824ba5c3d07a32e04a42

Observation 598aa762-c6fb-4c26-a38e-39ae0f0f2ad0 · outbound

This paper cites 2019.Behind the Screen: Content Moderation in the Shadows of Social Media.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching 2019.Behind the Screen: Content Moderation in the Shadows of Social Media

Reference 31

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verified exact
doi, observed 2026-08-03T18:54:05.158241Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-08-03T18:48:55.692979Z digest=sha256:f23d68b73b07a9fcd1a657747bc43040576f77546f32c6c1d6415c5bd8361e93

Observation 98adec54-6e9d-4a82-9009-f91bfb280080 · outbound

This paper cites LAION-5B: An open large-scale dataset for training next generation image-text models.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching LAION-5B: An open large-scale dataset for training next generation image-text models

Reference 32

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source=pdf_text observed=2026-08-03T18:48:55.845527Z digest=sha256:dad81243bf5d5d358da8e57bcbee42b81bc3ee70b0fa2126cf5ab272bf4be2af

Observation 75fa358f-d812-47e5-8d00-6501b4c3046c · outbound

This paper cites an unresolved cited work.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-03T18:48:55.980609Z digest=sha256:8ff3911b81d063e7e1e07d45c7b6acb076bc702dd15e0d49061b76e331cfc3ec

Observation 20a0172c-34dc-486f-b5ea-5234f7e825ba · outbound

This paper cites Contrastive Distillation on Intermediate Representations for Language Model Compression.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Contrastive Distillation on Intermediate Representations for Language Model Compression

Reference 34

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source=pdf_text observed=2026-08-03T18:48:56.113981Z digest=sha256:02454e3f3979da35b6df1911d7b7408ca494669472f3cb8c0036ba10cfabb172

Observation 427bbfee-080e-4628-ac69-af2051e87cb0 · outbound

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

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

Reference 35

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source=pdf_text observed=2026-08-03T18:48:56.253448Z digest=sha256:cb0a9d66f593721a60fe0692d74bcc5c538c40152a3fbdf682a6a653606a679d

Observation 3662178d-01ae-4912-9baa-3c5beee7eb56 · outbound

This paper cites GPT-4o System Card.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching GPT-4o System Card

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:48:56.400587Z digest=sha256:93f5adf885f49cfa8f85fd5d6139c48611fdcca8f872b263190de492308bd6de

Observation fbf40a6c-5b43-4f7e-80f1-0be26293a7a8 · outbound

This paper cites an unresolved cited work.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Unresolved cited work

Reference 37

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source=pdf_text observed=2026-08-03T18:48:56.520514Z digest=sha256:356dc066f47e323a2ee1c20d7040281dbb0a431cdcea01324b429524239157f7

Observation 224dd622-3c55-43b0-982b-1d7353519711 · outbound

This paper cites A Survey on Knowledge Distillation of Large Language Models.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching A Survey on Knowledge Distillation of Large Language Models

Reference 38

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unresolved
no resolver link, observed 2026-08-03T18:48:56.595925Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 7811b92f-8dcc-4244-94dd-5baea9c9c910 · outbound

This paper cites ShieldGemma: Generative AI Content Moderation Based on Gemma.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching ShieldGemma: Generative AI Content Moderation Based on Gemma

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-03T18:48:56.718135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:48:56.718135Z digest=sha256:30bec7a625664324d575218e9562db5949f90244e887ed9294317159e8452b93

Observation 01ce3196-e455-4ba9-aa58-69c5f773a7a9 · outbound

This paper cites an unresolved cited work.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-03T18:48:56.838947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:48:56.838947Z digest=sha256:7cc3efc3866385f4d26fb2854a3b21c25d01283eaed63077723cd398e0255750

Observation 77d781a1-2c14-4800-94a8-39159b80bcf4 · outbound

This paper cites A Multimodal CNN-based Tool to Censure Inappropriate Video Scenes.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching A Multimodal CNN-based Tool to Censure Inappropriate Video Scenes

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-03T18:48:53.250738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:48:53.250738Z digest=sha256:ade188afe33c9c7f05e45c3a0a1a4d2a0dafd6efc0d8f84b015b36a337b7e5b3

Observation 64eb0a86-50ac-4494-97de-7b159eefea5f · outbound

This paper cites Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language Models.

Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching Policy-as-Prompt: Rethinking Content Moderation in the Age of Large Language Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T18:48:55.145887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:48:55.145887Z digest=sha256:bd9de48b405c1282d8031c55412409bd30cdeb42f30bf2314904afc62b996433

Pith citing papers

Observation 41892f8a-24cf-4c51-99dc-a12c59abf66b · inbound

MLT-Dedup: Efficient Large-Scale Online Video Deduplication via Multi-Level Representations and Spatial-Temporal Matching cites this paper.

MLT-Dedup: Efficient Large-Scale Online Video Deduplication via Multi-Level Representations and Spatial-Temporal Matching Dynamic Content Moderation in Livestreams: Combining Supervised Classification with MLLM-Boosted Similarity Matching

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-07-03T10:58:03.522544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-27T09:43:22.054789Z digest=sha256:61b5770482df5043da7a9203d3958b9a7ec79f5f83a1d35778c8d9c1439191d6