Paper Citation Record · LEDGER

DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:1911.00536.

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

pith.paper-citation-record.v1
1911.00536 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 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 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:20:52.347966Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:09:54.016221Z

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 416ec83a-a0dd-49af-89a2-179565f57a68 · inbound

LaMDA: Language Models for Dialog Applications cites this paper.

LaMDA: Language Models for Dialog Applications DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

Reference 30

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:17:32.367836Z

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.

Observation 7cc0abe7-9371-4f69-8f79-4607f998d12d · inbound

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment cites this paper.

Trustworthy LLMs: a Survey and Guideline for Evaluating Large Language Models' Alignment DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

Reference 37

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T22:30:44.724119Z

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.

Observation de0cfc9f-620e-4655-8ffb-2df2b96bff2b · inbound

Moshi: a speech-text foundation model for real-time dialogue cites this paper.

Moshi: a speech-text foundation model for real-time dialogue DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

Reference 114

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:13:22.593892Z

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.

Observation aaacdfed-f033-415f-97eb-79b77de95ea5 · inbound

Bias in Large Language Models: Origin, Evaluation, and Mitigation cites this paper.

Bias in Large Language Models: Origin, Evaluation, and Mitigation DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

Reference 77

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:08:12.454806Z

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.

Observation 6f24b877-295c-4ec6-a88f-1a68aaac3d53 · inbound

Creating Artificial Students that Never Existed: Leveraging Large Language Models and CTGANs for Synthetic Data Generation cites this paper.

Creating Artificial Students that Never Existed: Leveraging Large Language Models and CTGANs for Synthetic Data Generation DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-23T06:05:28.034589Z

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.

Observation d2243dfa-29ae-4bed-9ded-355315e0a985 · inbound

Real-World Doctor Agent with Proactive Consultation through Multi-Agent Reinforcement Learning cites this paper.

Real-World Doctor Agent with Proactive Consultation through Multi-Agent Reinforcement Learning DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T13:42:19.249587Z

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.

Observation ca40560d-03e5-443c-b467-ad308a817a21 · inbound

Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment cites this paper.

Enhancing Medical Dialogue Generation through Knowledge Refinement and Dynamic Prompt Adjustment DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T04:20:52.347966Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d425ee1-f043-442e-95e5-1d7039d303c8 · inbound

Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving cites this paper.

Do LLM Modules Generalize? A Study on Motion Generation for Autonomous Driving DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-05T11:30:39.813201Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1eea47b-1c0d-4ff4-a6e6-38f55a068c2e · inbound

Modeling Complex Behaviors: Multi-Personality Composition and Dynamic Switching in Vision-Language Models cites this paper.

Modeling Complex Behaviors: Multi-Personality Composition and Dynamic Switching in Vision-Language Models DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

Reference 105

Resolution: verified exact; arxiv_id, observed 2026-07-03T05:47:41.826729Z

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.

Observation 047be0e4-06e9-4274-8e99-c1318fa72121 · inbound

Bridging Talk and Thought: Understanding Dialogue Dynamics Across Collaborative Problem-Solving Contexts cites this paper.

Bridging Talk and Thought: Understanding Dialogue Dynamics Across Collaborative Problem-Solving Contexts DialoGPT: Large-Scale Generative Pre-training for Conversational Response Generation

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T14:09:54.017691Z

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.