Pith. sign in

Paper Citation Record · LEDGER

Libra: Large Chinese-based Safeguard for AI Content

As of 7 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 2026-08-07T06:34:17.273281+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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.632043Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.632043Z digest=sha256:7ad6cb03ab209074d388078bfd065bdf2fd583db66bc80dc2e7d92adf1c7efae

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:17:39.073888Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:17:38.635544Z digest=sha256:e1c3495abff845f40b375867ef3946792ef31b478a97b389ad8648331724e56c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.638752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.638752Z digest=sha256:c220dc68ed9bc39a2a8d3676f7147d51fbe9a088f04bd2460d91261db3d42309

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.642617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.642617Z digest=sha256:c79ba1103fbefad96aae90e3a1b88b2608e5c4799387a7505859aa81fa49f6f4

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

Resolution
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:17:38.646420Z digest=sha256:f6f28585e24c56fab2a806b936496cd59d9044dd28705c3c6317c5e0347fb386

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.650062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.650062Z digest=sha256:0520cbc8a90902558ae76bdd426622ce4e4485f599ed7a38d9663bfb1c1dec4f

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.653512Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.653512Z digest=sha256:c7d7f3f1a6e284e8d27222e6f4a6cfc133c21f34547149981bf41371ee473156

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.656970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.656970Z digest=sha256:2b2cc463db47b9c0016d20df38936a2a5e1155ebbfdae49ebd4fc1d7cc46243d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.660420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.660420Z digest=sha256:b93588f285d8e1ad5b23eacd1555ded36dbae7c1b4f9a04ddb48ba02d426f403

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.663630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.663630Z digest=sha256:01f0cd847b736446fe8fce1ebd15dec23c27a15a286b047a5c775b2c725d8b7a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.666916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.666916Z digest=sha256:08666f80640804621d6a3b15410d9c2618771ab1d0d9f1dc1f2dfd8936653bc9

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
verified fuzzy
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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:17:38.670244Z digest=sha256:f060b60c8b4659e465ea3c8c77fc074de234b42cb671fcc79b5a128adee4973a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.673817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.673817Z digest=sha256:84b52f3dc05aba85daf05dca0717cb15d3ea1d7939ca42d2f79c68cfbedfd60a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.676661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.676661Z digest=sha256:48e72a4ada8dce343bdc8c858fa3bedb6f6a8bfaa71a443b84d362171afe1ba8

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:17:39.041309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:17:38.679696Z digest=sha256:4f125c2cacac0c58bbe91514ecf1b48f3f03f3a4dd4e937d420ea875d2b8b4e1

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.683475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.683475Z digest=sha256:f3b3dc49741f7fa693925d0ba289e612cb4373b6affedd7a49e28076f444c97a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.686519Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.686519Z digest=sha256:dfe4b8cdaaac7432cd88dcaffa4a2f9943be327ad261c7f095fe0fb746584799

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.690339Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.690339Z digest=sha256:ff7d1d6cb35a20a4ca6d01640afac7e675fc1a6f232560599a4f9277fe0a0112

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.693434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.693434Z digest=sha256:c9894fa956275be280a81ebc8b107d54fbba509594af14b972b1027c6c91af18

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.696503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.696503Z digest=sha256:8f89e9946241ea7264f9f2abac40e502f34eb46bac994c14b1cb3c1974ff6a2a

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.700638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.700638Z digest=sha256:48c0d240361015b7fb796b083c78e22e2905c48594deddbe2dcad71d626217c0

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.703912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.703912Z digest=sha256:528c292c766ce377597435d95206d25894c73f837de70863c5a2c9cc58c70034

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.707357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.707357Z digest=sha256:de8a3fc9b00d84d1244ce04dbdc2c887ea64e3eaa85bf664a2272855c8380090

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.710745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.710745Z digest=sha256:f39caf6f3515b954598015cd00094bed481b2a165b322563d3abe53c68fa2fe1

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

This paper cites an unresolved cited work.

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

Reference 25

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:17:39.031414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:17:38.714279Z digest=sha256:172d28e968c3fac28fda1dbfed9a6632f55cd02e0285f804ca43803c46604b76

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.717360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.717360Z digest=sha256:8d80b3cbed02bf02dfe2ae2ea479dbf83512656dd626f7f010b56597340e511c

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.720449Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.720449Z digest=sha256:71b7cdde56380d362a939fcf279c44095f4547628409e735ca9a6c95871dd1a5

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.723583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.723583Z digest=sha256:b84b098d59f7fe12050dfef3c5c7322a2c49a39f87df80a6ae6d9f07d531ee8d

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.726761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.726761Z digest=sha256:e7e7687174b3a6f9bc11f8c501f5cf7879853583f3bebc8dfc80ddbab40eab26

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

Resolution
unresolved
no resolver link, observed 2026-08-06T12:17:38.729765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T12:17:38.729765Z digest=sha256:44c132b0bfb0572a386d9f233e896aba4d04a68f7738bcc38135ee011fc957c0

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

This paper cites an unresolved cited work.

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

Reference 31

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:17:39.022962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:17:38.732828Z digest=sha256:9c87b9933891110675edd4ed587777a7acfff9b68f018e75ae740f5a14f09e06

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

This paper cites an unresolved cited work.

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

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:17:39.013710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:17:38.736550Z digest=sha256:5d8f902696a96cfa1d8248ce1891bc35494eed19c32ce2d6cd38cf3711e81f26

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

This paper cites an unresolved cited work.

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

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:17:39.004303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:17:38.740735Z digest=sha256:53fe90599692b0c5a9cdbceb620d8b98eaf479e3e6b8025ba2a9fe6db473f120

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

This paper cites an unresolved cited work.

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

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:17:38.994741Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:17:38.744029Z digest=sha256:a060fc6e7e4a5114ddb150ea611f975c0e82571e73358716e9dced7b9c065d3f

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

This paper cites an unresolved cited work.

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

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:17:38.985698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:17:38.746899Z digest=sha256:e3e4af9f898e153f11f577c159aa2c26cb0a46a51eef110dee7a78e13f88177d

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

This paper cites an unresolved cited work.

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

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:17:38.975974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:17:38.749823Z digest=sha256:87b2bf52ee33260193f6bbc51c4e0de7b53c84304c88b5a0f319b1e758e28316

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

This paper cites Analysis.

Libra: Large Chinese-based Safeguard for AI Content Analysis

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T12:17:38.966618Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T12:17:38.753696Z digest=sha256:496d54873d0b00a31e4a07031a227aa020f8b2acabb0630f26c043f8bb7aa6c4

Pith citing papers

No inbound Pith citation observations are available.