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Paper Citation Record · LEDGER

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark

As of 8 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2506.10960.

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

pith.paper-citation-record.v1
2506.10960 v3

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:19:32.813342Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T00:46:03.210076Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T00:52:55.797420Z

Reference resolution

14 of 14 outbound references displayed

  • verified exact0
  • verified fuzzy6
  • unresolved8
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b58df069-1753-4205-824f-24abea74ec7a · outbound

This paper cites an unresolved cited work.

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:19:34.337995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:19:32.200591Z digest=sha256:d26dce1c101c718d27327d0d52179f60fb4e52a78b45f399040aaaab8ec5a10b

Observation e6ada4a3-ff70-4541-805a-16b548cf52d8 · outbound

This paper cites Adapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning.

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark Adapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T04:19:31.560339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:19:31.560339Z digest=sha256:d1043fa372fce51e2e78b320e278d9fc66bf4c46f1ee1d9a6c64c594bd296a91

Observation a6de7eac-3a08-4740-972a-8338580b96b7 · outbound

This paper cites 母 狗”、“婊子.

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark 母 狗”、“婊子

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:19:35.036848Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:19:31.858792Z digest=sha256:5ea3b1f8c2518e2a67d9d6ea921fd9696a8e6835ee9007bac843555cf1299fab

Observation e9c1ddc6-59a8-4055-8785-e8d626d1c71a · outbound

This paper cites top”和“.vip.

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark top”和“.vip

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:19:35.445069Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:19:31.733363Z digest=sha256:f54555a847a3e30dfd5278ef849a8851ae79063ed44e2fbf80c5af6131aaed80

Observation 0ba1d64a-81c0-42cd-8809-d90084b1dda0 · outbound

This paper cites SM”、“绿帽癖.

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark SM”、“绿帽癖

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:19:35.283458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:19:31.799570Z digest=sha256:4436127f274e8b65d54f797261626a05d5b242cb420e440bc29eff1762eace4e

Observation 9bcb7ec7-e157-4a89-a633-2277e3487905 · outbound

This paper cites 大胸”、“爆乳”、“36D.

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark 大胸”、“爆乳”、“36D

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:19:34.826887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:19:31.923022Z digest=sha256:c5bd972cb230531b6bbea25abb95496c15404e9e9b48e44d0aed87d2f2b7ecea

Observation a7949a17-b2bd-4049-b5f7-0b443b4f85a2 · outbound

This paper cites an unresolved cited work.

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:19:34.626280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:19:32.025458Z digest=sha256:3071be07e0f6573610c8ac3750d7dc1bb6590f48eb7e78342328ac87bb31d1db

Observation 2396c128-6631-4a4b-866e-8b42822f4340 · outbound

This paper cites an unresolved cited work.

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark Unresolved cited work

Reference 10

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:19:34.207631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:19:32.378452Z digest=sha256:d69e6a7354c930c258deddaade317b49dbe0a936a96d4b60ec13fb962f59dac0

Observation 8bfc0c46-28d0-426d-aab9-55c48f43decb · outbound

This paper cites an unresolved cited work.

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:19:33.906546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:19:32.587531Z digest=sha256:20622e4b159cda3cc7a02bf665b9f2dd56011da1e175a721b1552b1d5b0e55a1

Observation a6c4f424-a2a5-4e2e-8e5b-733891192a5f · outbound

This paper cites an unresolved cited work.

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:19:33.602627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:19:32.670394Z digest=sha256:dc060523f240b5adccda85450b44408d438cc8c88acf371efae8c263029147af

Observation ceb4120a-4c68-40ed-b91b-b94bb20c986c · outbound

This paper cites 日结”、“一单一结.

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark 日结”、“一单一结

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:19:33.342394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:19:32.762384Z digest=sha256:c25237431887afdd6004d21b3877f1f6412b83ef1c36a8c869966f1603f1b07f

Observation d2eb8e8b-7176-4ed5-a54f-cebce27c21ab · outbound

This paper cites I’m sorry.

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark I’m sorry

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:19:33.018400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T04:19:32.813342Z digest=sha256:2904aaf7f22d326c199ed5a398607d679e442f2cea89404ce9195b8659c09644

Observation 669788a8-0b90-4857-9a58-90571e31ae4f · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T04:19:31.427862Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:19:31.427862Z digest=sha256:0351153cf0a42a98ef022bcc53e0c825485e0e9baba4a61b9cefb2978b8543c4

Observation 42da918b-dd1a-4d6a-bc37-73c9f4ce23ef · outbound

This paper cites SCCD: A Session-based Dataset for Chinese Cyberbullying Detection.

ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark SCCD: A Session-based Dataset for Chinese Cyberbullying Detection

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T04:19:31.623538Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:19:31.623538Z digest=sha256:03f76845f4a38abed196e4a8e72dcb1945799fe061370549bf6970cf50063f48

Pith citing papers

Observation 337ce82b-c02e-4e61-9664-2d4d1296e104 · inbound

Yuvion LLM: An Adversarially-Aware Large Language Model for Content And AI Safety cites this paper.

Yuvion LLM: An Adversarially-Aware Large Language Model for Content And AI Safety ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-06-29T00:52:55.799192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T00:46:03.210076Z digest=sha256:2e241226c6b10e5c9b7f898f27bacb8a96d7cad463bd66375f4833363c510317