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Paper Citation Record · LEDGER

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

As of 10 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 2026-08-10T06:31:04.303077+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:f57e4c327849fe8c8bdc53d63158e154b2635a6cdb6a14b0e6dc1263ce49860d

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-reported events for the cited work

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source=pdf_text observed=2026-08-03T18:48:52.797726Z digest=sha256:9ecea6cc30625e5429564af695276e04a7e8ad9bad59a73cf8755473627f9fc4

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=sha256:67beef329d004ff0fb61a3f1463059f1352cb17e76e3513f018bbb0e51ea536d

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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source=pdf_text observed=2026-08-03T18:48:52.986234Z digest=sha256:a0a628e0938786a1a2d97a3525950328c842c8ac7f9a171a1cec57f5529ef519

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:f838af80c2ef42ae1d8b2a88e35e7b0106026e3ea63357ad03407a2e13fb87d4

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=sha256:872330cacaf8cfd8c8212716704c168cd8c9d25ea37ac8460d3ff95d0cc711e3

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=sha256:368bbfb238720042762f412fe245b6f3939e8faf5a65dcb2567a461f25d03833

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:b35e7da947000941933fbd5a1e80e3b871e5e85f1b3154b54f6052a702304c20

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=sha256:4325699289c29f31587e37203b7574dd92705301d7bf18f3886e6f4b4d75b1a0

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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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T18:48:53.592317Z digest=sha256:1210fd2b2d7014294faa38ff2607532aeb5bc10fb3a3af97ddcb80db1b84bcc9

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=sha256:87870d626f0be8d37f0264b85f3e5a225ed9951d3308eb1280b6c04cf9c728df

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=sha256:39cd01c352dc073a9ab32c6315a9fa843daf2c8a3f225cfee557f5b0a7594ad6

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=sha256:14e0076e7e2426a49055b234fa846b33ba00d4bdcb884da9c86214c15136d527

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:d333f861f2b8bfe68349b0747b92289f2ebd4c14da93ff778c007f38c956c8d7

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:a5956182b6b81c97dd5e12f9b08e8ac98fddc39c3ed17436929e91d1b6e411e4

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:c7164ca443fb44ab703bd72a09cb67aaffec7a6e13f143e40f2adf2c4d422ea5

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=sha256:9a46f91834df1b4f5c1c320ad55686c50e5b1303ba5b472da2b4b2ee04b86b79

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=sha256:95d3186a3faf5eed165fb0aa6fd55641aa38d7b91751a91ff86a401073de266b

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:f39c900281aaa01666b55b8fde1fdcd0cd83d58276fa18b64c878a6fda3e91ce

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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Source-reported events for the cited work

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source=pdf_text observed=2026-08-03T18:48:54.548962Z digest=sha256:17d6027984c1c9153da1ce02dd0494f1ddcc2cb311682ad9a877175bec744063

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=sha256:96f53fc0ee8341f097397a23fa21a1aca6d4a9f193ef8785c90c11c202754754

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=sha256:8be03ba0f48ae2304e61f189912058fbf3128b091dd0a7bb2aa0a85376b92aab

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:de582ccee8a2d01cd1d3dfd2094ab04c603081b344710dc5bbebaadc8896c616

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=sha256:61062d2f74bb78ffd4494936222e8addf7a8182326a460ac8fb09e0d769817f2

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:fce1bfd896f9c59fad5720ccb377a4487f6ebbad39ee80ff8d314525b7471c22

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:d4236638297ef69875b5a1fe4d9a534450fd95267c200721fd246c55bac2010d

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=sha256:62a42b505d01fe486df64fabbfeaa9a51c587d94454d71c676effa2519a3d6e2

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:cb420c9d8359f1346a161b30c9220c73a1ddb21d42b66d352b91365172a16674

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:cc44af12e0543ed13bba67674d4d5366cc3e1f7bcbfd902f8e954fca5bf38332

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-03T18:48:55.692979Z digest=sha256:08238ced7cb1b656bfddbb7cdd3201eac69f4b541f58da4fe53ccdee6fc3df4e

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=sha256:147ff99e793ca60618923b745b9c4703bbaecbae7a19d2a0cdc95ccce9ca446a

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=sha256:876f1a06ddf272e19492dbf9ef719ad4395fbdeee279870bcb1ca1a0008dbf7a

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=sha256:57fa996d69fc3d48ce039367f536bba17bb23d46c1b9b54358e88fd5d74bd0b1

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:bde53cb4967dad349bdf40d00c6541e7a36d44697e489e14642c5a9630917563

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=sha256:561a44ffe0e2b1543ac3d37a77d9d1460f4956ab191211032254d65424f74dce

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=sha256:02a87d0a21627ac197af11ef569947deeb41441ae15f340429f892f78932e976

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.

source=pdf_text observed=2026-08-03T18:48:56.595925Z digest=sha256:9873a3a1ac3393fcb8223825e5dfd17624eee49b097d8c97e1b6a173246cf744

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=sha256:85f0661e3b71fa3e86273adf7ca486853580d4030ee0660225280595caab4735

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=sha256:2796460db75116b793cc1863ab2d4b8973418fa52097787400db554211f4c369

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=sha256:2f8b64020635d6961f97543cd9c1d41336d23d00c62e7404318b4dcc4290ae7b

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:a608eb7a752fda5083721a1d6b3fb7e1bb669fcfcdd1d5fd2e855b2c6b1f1dbd

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T09:43:22.054789Z digest=sha256:1fd214caed48f374125c18b82a782f5d45dfb3e39bd337ccf5d594de960fac96