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Paper Citation Record · LEDGER

Libra: Large Chinese-based Safeguard for AI Content

As of 17 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 0 inbound Pith citation observations for arXiv:2507.21929.

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

pith.paper-citation-record.v1
2507.21929 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:17:38.753696Z

measured 37 of 37 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

37 of 37 outbound references displayed

  • verified exact0
  • verified fuzzy5
  • unresolved32
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 479579ee-879d-41ee-bcde-92e38988968b · outbound

This paper cites GPT-4 Technical Report.

Libra: Large Chinese-based Safeguard for AI Content GPT-4 Technical Report

Reference 1

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.632043Z digest=sha256:e37d6289cfe7a169c7365b9f4c4dc9028f8db48f0d540ab89d4dffdf65ca29af

Observation 2717c16e-5aff-42fe-b504-ea4ed8d533cb · outbound

This paper cites Claude-3 Model Card1 (2024).

Libra: Large Chinese-based Safeguard for AI Content Claude-3 Model Card1 (2024)

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T12:17:38.635544Z digest=sha256:74292f80b9e8b62587bfb64a6602afa06b72e083234a2980fd76019308f675d4

Observation 9f62e5b9-66f9-4892-9ce0-82d93517871c · outbound

This paper cites A General Language Assistant as a Laboratory for Alignment.

Libra: Large Chinese-based Safeguard for AI Content A General Language Assistant as a Laboratory for Alignment

Reference 3

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source=pdf_text observed=2026-08-06T12:17:38.638752Z digest=sha256:f42dac05eb593b0003b1d70e243503db39381b6af448ff2f69f7ece3fdecf7da

Observation a1382a3a-1d53-4a38-94c2-1529e0ac34ec · outbound

This paper cites In: Proceedings of the 26th annual international conference on machine learning.

Libra: Large Chinese-based Safeguard for AI Content In: Proceedings of the 26th annual international conference on machine learning

Reference 4

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source=pdf_text observed=2026-08-06T12:17:38.642617Z digest=sha256:5989d9ed3ca61f6489125502d38b00ff34cbacd83b0986175fbfa4b3c0e795f4

Observation ff59c55b-07b2-4cd9-a6f3-e62dceb32978 · outbound

This paper cites In: Proceed- ings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region.

Libra: Large Chinese-based Safeguard for AI Content In: Proceed- ings of the Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region

Reference 5

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raw_fallback, observed 2026-08-06T12:17:39.059617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T12:17:38.646420Z digest=sha256:18ab9f3571a70d45732e178012b27c2558e14627a5b234cfca68966271db154e

Observation 4a6b7539-6e06-4798-8bf7-6f1d441f1970 · outbound

This paper cites Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model.

Libra: Large Chinese-based Safeguard for AI Content Quest: Query-centric Data Synthesis Approach for Long-context Scaling of Large Language Model

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.650062Z digest=sha256:3a6cdc52f54de1d7913ee4d4bffe081e9454804bb659422e8f48359677e43660

Observation 4bc8e66d-7568-4640-bbb0-a56f2761026b · outbound

This paper cites LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions.

Libra: Large Chinese-based Safeguard for AI Content LongMagpie: A Self-synthesis Method for Generating Large-scale Long-context Instructions

Reference 7

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source=pdf_text observed=2026-08-06T12:17:38.653512Z digest=sha256:0f708531041955db3001b6c797eacfc0e1cc8c7d24aff4ea0d159e3b0663d397

Observation 136bcd82-410a-4977-9243-58df5a5f1f00 · outbound

This paper cites NExtLong: Toward Effective Long-Context Training without Long Documents.

Libra: Large Chinese-based Safeguard for AI Content NExtLong: Toward Effective Long-Context Training without Long Documents

Reference 8

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source=pdf_text observed=2026-08-06T12:17:38.656970Z digest=sha256:d7b61bfea47cec0797baca972e8cc0a32fccad1e5cabcad15403e9e93a3ada0c

Observation b54d9ee7-1675-406f-9fd5-ca2eec46de03 · outbound

This paper cites AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts.

Libra: Large Chinese-based Safeguard for AI Content AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM Experts

Reference 9

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source=pdf_text observed=2026-08-06T12:17:38.660420Z digest=sha256:6902e0c7bcbec2bdf9024b959ff1a03972ebe30ef77194edf2f2c8d1de35e089

Observation 7b23d923-fb9a-45b2-9e6d-cf79ef6937c9 · outbound

This paper cites Deliberative Alignment: Reasoning Enables Safer Language Models.

Libra: Large Chinese-based Safeguard for AI Content Deliberative Alignment: Reasoning Enables Safer Language Models

Reference 10

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source=pdf_text observed=2026-08-06T12:17:38.663630Z digest=sha256:417c9a83adf05ae2af75ccce2ee0030036942c4ac9c19a020fe45bc8a3f9f581

Observation a6bd10ca-1b1a-4e1f-8dc6-596a1db9706c · outbound

This paper cites WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs.

Libra: Large Chinese-based Safeguard for AI Content WildGuard: Open One-Stop Moderation Tools for Safety Risks, Jailbreaks, and Refusals of LLMs

Reference 11

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source=pdf_text observed=2026-08-06T12:17:38.666916Z digest=sha256:b863f997ebed9cc18583c51d4c1bb03cbc52cb46dba32b85551f15c4b70cc73c

Observation 7c93aad8-82b6-4d7d-b186-06f86cf404c1 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelligence.

Libra: Large Chinese-based Safeguard for AI Content In: Proceedings of the AAAI Conference on Artificial Intelligence

Reference 12

Resolution
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raw_fallback, observed 2026-08-06T12:17:39.050906Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T12:17:38.670244Z digest=sha256:b46878291e8428ac675709fe8465e78b5729a68150e8faaff81058997a0e82c3

Observation 975eaf68-f009-4aab-931d-9fe066bfd407 · outbound

This paper cites GPT-4o System Card.

Libra: Large Chinese-based Safeguard for AI Content GPT-4o System Card

Reference 13

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.673817Z digest=sha256:2be7b1838113c5f6e6379a47b88adad9ad978c3748b60df383c59b4f14efcf0a

Observation 9299ee83-44bc-4628-8e41-0eac91cd7080 · outbound

This paper cites Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations.

Libra: Large Chinese-based Safeguard for AI Content Llama Guard: LLM-based Input-Output Safeguard for Human-AI Conversations

Reference 14

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.676661Z digest=sha256:0a0370364a6add582ebffbe55787b2f331d4ba2ce332980470a2e959693eb6a2

Observation 656dcaaf-d62e-41e1-85d5-2af6807166cd · outbound

This paper cites Advances in Neural Information Processing Systems 36, 24678–24704 (2023).

Libra: Large Chinese-based Safeguard for AI Content Advances in Neural Information Processing Systems 36, 24678–24704 (2023)

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T12:17:38.679696Z digest=sha256:b1c9075c0cceaf2377b143fbdee3ad9978404847b0cf94925cf880b38bb66052

Observation c8496057-405a-400c-b566-dc5deab73992 · outbound

This paper cites From System 1 to System 2: A Survey of Reasoning Large Language Models.

Libra: Large Chinese-based Safeguard for AI Content From System 1 to System 2: A Survey of Reasoning Large Language Models

Reference 16

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source=pdf_text observed=2026-08-06T12:17:38.683475Z digest=sha256:a9cc109b77a55f78bcce2c1a2bd246971588c1d13c020aea44be347977484b31

Observation e2cb920b-edb2-46e2-89d0-42c46bd58ec8 · outbound

This paper cites Task Oriented In-Domain Data Augmentation.

Libra: Large Chinese-based Safeguard for AI Content Task Oriented In-Domain Data Augmentation

Reference 17

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source=pdf_text observed=2026-08-06T12:17:38.686519Z digest=sha256:880d26dce83e579e0e5726650f42757b0923fec7d66c38a39ed6ff7f35e341e7

Observation 6ce4099e-64e1-4d5f-bb86-20d23d32d5b1 · outbound

This paper cites SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning.

Libra: Large Chinese-based Safeguard for AI Content SwS: Self-aware Weakness-driven Problem Synthesis in Reinforcement Learning for LLM Reasoning

Reference 18

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source=pdf_text observed=2026-08-06T12:17:38.690339Z digest=sha256:6c3f68178112b8a271fc64ce27cfd61d935d5192b9a92a2f53060b4cc711d5a4

Observation 8931d49a-fabd-42e7-9820-d0c202a20bee · outbound

This paper cites From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models.

Libra: Large Chinese-based Safeguard for AI Content From LLM to Conversational Agent: A Memory Enhanced Architecture with Fine-Tuning of Large Language Models

Reference 19

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source=pdf_text observed=2026-08-06T12:17:38.693434Z digest=sha256:e2e49f294c62dd7c4628adbef44aad35b0d409aa1c13696171b9db655d864511

Observation 9c6d2218-9ac7-427f-86e3-294f03af0bbd · outbound

This paper cites HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal.

Libra: Large Chinese-based Safeguard for AI Content HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal

Reference 20

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source=pdf_text observed=2026-08-06T12:17:38.696503Z digest=sha256:fe225fc7c45fde5766afc30e914e5743f5a67a7b97b51087cc0df8dcfb2357de

Observation f4093c14-bee1-4cca-9516-90ccde7d5b27 · outbound

This paper cites AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications.

Libra: Large Chinese-based Safeguard for AI Content AART: AI-Assisted Red-Teaming with Diverse Data Generation for New LLM-powered Applications

Reference 21

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source=pdf_text observed=2026-08-06T12:17:38.700638Z digest=sha256:a858fabc3d45d0737f2a714fb83d09779c22b21417a94d46bacf71c51b1bcafb

Observation b16ebd34-448b-436c-9fe3-8fc75f3a99b4 · outbound

This paper cites Safety Assessment of Chinese Large Language Models.

Libra: Large Chinese-based Safeguard for AI Content Safety Assessment of Chinese Large Language Models

Reference 22

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source=pdf_text observed=2026-08-06T12:17:38.703912Z digest=sha256:40e68876bc596ace96d2cbbd7352c7ac45c57e617ea24d6c6bce80d3533d974a

Observation e1984abf-f671-4cc5-abf4-f80d41bc3c12 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Libra: Large Chinese-based Safeguard for AI Content Gemini: A Family of Highly Capable Multimodal Models

Reference 23

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source=pdf_text observed=2026-08-06T12:17:38.707357Z digest=sha256:62c05755b8a14e08928b697124bc58543318888d3321cf9313b95971945aa3eb

Observation 3e6cac63-9ec1-49f2-9976-0503a909c395 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Libra: Large Chinese-based Safeguard for AI Content Gemma 2: Improving Open Language Models at a Practical Size

Reference 24

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source=pdf_text observed=2026-08-06T12:17:38.710745Z digest=sha256:0aaadff53ba7fc54176e3a4f11ae862ff0081bdd277504f7d76ebff91e0cc02b

Observation cb929ba7-e09d-47ff-bf1f-80a20e7b18b1 · outbound

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Libra: Large Chinese-based Safeguard for AI Content Unresolved cited work

Reference 25

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T12:17:38.714279Z digest=sha256:06bfbd1f2cebe21eb8a71e4d8111b712503b1b1f7d21332c09e1ca79ed3928f9

Observation ad542f9f-c3b6-4b6c-b327-2ff583173770 · outbound

This paper cites Qwen2.5 Technical Report.

Libra: Large Chinese-based Safeguard for AI Content Qwen2.5 Technical Report

Reference 26

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source=pdf_text observed=2026-08-06T12:17:38.717360Z digest=sha256:4cfdf3806b4fc4b4d86e37b238e7826c02b6a5ce98feb0723e066c3a61a36ff6

Observation 7e6ec922-c540-4707-8652-749344f1a28b · outbound

This paper cites Yi: Open Foundation Models by 01.AI.

Libra: Large Chinese-based Safeguard for AI Content Yi: Open Foundation Models by 01.AI

Reference 27

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source=pdf_text observed=2026-08-06T12:17:38.720449Z digest=sha256:303df3abfbef630e16d9286a88ffdf75b647244d9c2c6d878122d832069aa8e5

Observation 19459666-c808-4256-ad47-b371b450ae70 · outbound

This paper cites CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning.

Libra: Large Chinese-based Safeguard for AI Content CodePMP: Scalable Preference Model Pretraining for Large Language Model Reasoning

Reference 28

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source=pdf_text observed=2026-08-06T12:17:38.723583Z digest=sha256:2ceb2ee5e85ca25b8a66d984e7ffd08c34bd0bfff1288c67f7fccc911ab27cbb

Observation c693db93-0998-45c9-8dc5-8cddb27429c5 · outbound

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

Libra: Large Chinese-based Safeguard for AI Content ShieldGemma: Generative AI Content Moderation Based on Gemma

Reference 29

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source=pdf_text observed=2026-08-06T12:17:38.726761Z digest=sha256:41a9113e9bdca2adaa22cd62fef3d77787324e1eaa2023864cf50486a25fe648

Observation 1d29e842-6805-42d9-8e58-2f3ecfebcfd5 · outbound

This paper cites ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors.

Libra: Large Chinese-based Safeguard for AI Content ShieldLM: Empowering LLMs as Aligned, Customizable and Explainable Safety Detectors

Reference 30

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source=pdf_text observed=2026-08-06T12:17:38.729765Z digest=sha256:0fc2b8e60ae18d5c21c2c8e713762d338a5146d2258d290e174e563acddfb947

Observation 8a78411c-8c9e-466b-9d32-671d75f9d9a2 · outbound

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Libra: Large Chinese-based Safeguard for AI Content Unresolved cited work

Reference 31

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source=pdf_text observed=2026-08-06T12:17:38.732828Z digest=sha256:6252d7548ed4bbdc9cdd0b7f796dad14cfd1bcf61c8bdfcb570355fde4d46ebc

Observation 5dfb52da-6572-4445-b72e-fce07a988d96 · outbound

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Libra: Large Chinese-based Safeguard for AI Content Unresolved cited work

Reference 32

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T12:17:38.736550Z digest=sha256:8073ece24cd8132f8c42d117068d21fdf3d026a0f5b23f44e8da2887151906d8

Observation bb3eb86d-52c7-4ddf-9172-2ab02f972875 · outbound

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Libra: Large Chinese-based Safeguard for AI Content Unresolved cited work

Reference 33

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T12:17:38.740735Z digest=sha256:b2945e8abb849873c4176071c57515d83006271789863914f85d9c25cd0ee377

Observation 23e9d929-8955-4db5-9cc9-cbfa9c6ede43 · outbound

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Libra: Large Chinese-based Safeguard for AI Content Unresolved cited work

Reference 34

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T12:17:38.744029Z digest=sha256:7411b81daa66de32ea3e0b66259bfb57ef0417ae436ec2e72a2b9a0ae97a9575

Observation 7ea16d53-8c11-4740-b625-911b667a02a3 · outbound

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Libra: Large Chinese-based Safeguard for AI Content Unresolved cited work

Reference 35

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No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T12:17:38.746899Z digest=sha256:88af02d9e85408fab7a2aec739754dfae85375c9ff207d16e0cc901fa2cf4adf

Observation 84055a0b-4e05-4ed7-8bbe-2b8bc27a94c9 · outbound

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Libra: Large Chinese-based Safeguard for AI Content Unresolved cited work

Reference 36

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T12:17:38.749823Z digest=sha256:99e8bf72251ca724a069de5ebd88e28bb44da7d7078f532b355ce4ed43360198

Observation b878c253-9aef-46e3-b611-b0e8da7532bc · outbound

This paper cites Analysis.

Libra: Large Chinese-based Safeguard for AI Content Analysis

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T12:17:38.753696Z digest=sha256:64ab801930a0945ec9f2e5917e9f015494779f015d8b3f5042f93cf3184c6150

Pith citing papers

No inbound Pith citation observations are available.