Paper Citation Record · LEDGER

Recipes for Safety in Open-domain Chatbots

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2010.07079.

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

pith.paper-citation-record.v1
2010.07079 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 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 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T04:38:37.270137Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T12:39:48.744791Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation bcfe0d1b-3566-4683-a35d-998344378a03 · inbound

LaMDA: Language Models for Dialog Applications cites this paper.

LaMDA: Language Models for Dialog Applications Recipes for Safety in Open-domain Chatbots

Reference 79

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:17:32.351390Z

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.

Observation 925ae007-0961-442e-a224-050fc2d2bd71 · inbound

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback cites this paper.

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback Recipes for Safety in Open-domain Chatbots

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-10T13:35:55.961621Z

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.

Observation 29df4206-5c99-4d79-803a-05445693f9fc · inbound

OPT: Open Pre-trained Transformer Language Models cites this paper.

OPT: Open Pre-trained Transformer Language Models Recipes for Safety in Open-domain Chatbots

Reference 276

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T20:53:17.851333Z

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.

Observation 8512f3a2-9bea-4642-940f-12872e9bcd9a · inbound

Language Models (Mostly) Know What They Know cites this paper.

Language Models (Mostly) Know What They Know Recipes for Safety in Open-domain Chatbots

Reference 71

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T15:42:47.629025Z

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.

Observation 7b6a3585-eeec-4ce2-b018-4621cafbb3a1 · inbound

Constitutional AI: Harmlessness from AI Feedback cites this paper.

Constitutional AI: Harmlessness from AI Feedback Recipes for Safety in Open-domain Chatbots

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-09T05:11:18.013168Z

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.

Observation 4f96ba83-f7b8-4dbd-9ec1-58d5cd738c1e · inbound

Jailbroken: How Does LLM Safety Training Fail? cites this paper.

Jailbroken: How Does LLM Safety Training Fail? Recipes for Safety in Open-domain Chatbots

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-14T18:17:42.835731Z

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.

Observation 6c311f27-1513-40f3-b9f0-62bec01eed86 · inbound

Social and Ethical Risks Posed by General-Purpose LLMs for Settling Newcomers in Canada cites this paper.

Social and Ethical Risks Posed by General-Purpose LLMs for Settling Newcomers in Canada Recipes for Safety in Open-domain Chatbots

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-23T23:08:35.452857Z

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.

Observation eaf4e9f4-e0c6-4990-aab4-0fdd84b9de66 · inbound

From Hallucinations to Facts: Enhancing Language Models with Curated Knowledge Graphs cites this paper.

From Hallucinations to Facts: Enhancing Language Models with Curated Knowledge Graphs Recipes for Safety in Open-domain Chatbots

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-11T04:38:37.270137Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e88908a7-4e81-4044-90e8-e30c88144ad2 · inbound

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy cites this paper.

A Survey on Responsible LLMs: Inherent Risk, Malicious Use, and Mitigation Strategy Recipes for Safety in Open-domain Chatbots

Reference 224

Resolution: unresolved; no resolver link, observed 2026-08-10T20:05:12.735981Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17688df0-e3b8-42e0-91ee-ffcc0610464f · inbound

Reinforcement Learning from Human Feedback with High-Confidence Safety Constraints cites this paper.

Reinforcement Learning from Human Feedback with High-Confidence Safety Constraints Recipes for Safety in Open-domain Chatbots

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T05:21:58.788856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bcb6c7ab-9b4f-4fd7-bcf7-195ded5ca564 · inbound

Optimus: A Robust Defense Framework for Mitigating Toxicity while Fine-Tuning Conversational AI cites this paper.

Optimus: A Robust Defense Framework for Mitigating Toxicity while Fine-Tuning Conversational AI Recipes for Safety in Open-domain Chatbots

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-05-22T12:21:31.199552Z

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.

Observation d580768d-df8b-4ebd-b963-f0817854c582 · inbound

Agentic Web: Weaving the Next Web with AI Agents cites this paper.

Agentic Web: Weaving the Next Web with AI Agents Recipes for Safety in Open-domain Chatbots

Reference 240

Resolution: unresolved; no resolver link, observed 2026-08-06T13:05:40.457602Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b30a5345-9c90-4959-a990-ed83e702c121 · inbound

Test-Time Detoxification without Training or Learning Anything cites this paper.

Test-Time Detoxification without Training or Learning Anything Recipes for Safety in Open-domain Chatbots

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-03T10:40:48.133852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d90ae31-9e7e-4576-b1a8-a7f9521d109a · inbound

EthicMind: A Risk-Aware Framework for Ethical-Emotional Alignment in Multi-Turn Dialogue cites this paper.

EthicMind: A Risk-Aware Framework for Ethical-Emotional Alignment in Multi-Turn Dialogue Recipes for Safety in Open-domain Chatbots

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T06:15:59.307797Z

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.

Observation 42e6bc6a-1c59-4ff5-964a-d1ca2cac0de7 · inbound

Ethics Testing: Proactive Identification of Generative AI System Harms cites this paper.

Ethics Testing: Proactive Identification of Generative AI System Harms Recipes for Safety in Open-domain Chatbots

Reference 76

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:56:07.919212Z

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.

Observation ded96082-607b-455b-ab8c-331a19275f3a · inbound

On The Effectiveness-Fluency Trade-Off In LLM Conditioning: A Systematic Study cites this paper.

On The Effectiveness-Fluency Trade-Off In LLM Conditioning: A Systematic Study Recipes for Safety in Open-domain Chatbots

Reference 89

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T11:08:03.552695Z

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.

Observation 97ea4e72-d73e-449a-a184-16aadf75947b · inbound

Affective AI Safety: The Missing Piece in LLM Safety cites this paper.

Affective AI Safety: The Missing Piece in LLM Safety Recipes for Safety in Open-domain Chatbots

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T12:39:48.747127Z

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.

Observation d377f38f-7567-4d7f-ac3b-92149dbfed5a · inbound

Safe Inference-Time Alignment via Lagrangian Reward Augmentation cites this paper.

Safe Inference-Time Alignment via Lagrangian Reward Augmentation Recipes for Safety in Open-domain Chatbots

Reference 101

Resolution: unresolved; no resolver link, observed 2026-07-12T07:05:47.150308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.