Paper Citation Record · LEDGER

CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2311.16832.

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

pith.paper-citation-record.v1
2311.16832 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:46:28.494955Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T21:53:59.193227Z

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 7682dc0f-9ec3-4abe-b0af-2bed0d39d898 · inbound

A Survey on the Memory Mechanism of Large Language Model based Agents cites this paper.

A Survey on the Memory Mechanism of Large Language Model based Agents CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Reference 147

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:21:39.596531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation fd0f7abf-e0d1-4c3d-a02a-0c9a93483766 · inbound

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools cites this paper.

ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:08:09.756694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation cb32014e-bfa7-4560-ac52-d33f3d81b417 · inbound

Inertia in Moral and Value Judgments of Large Language Models cites this paper.

Inertia in Moral and Value Judgments of Large Language Models CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-23T22:05:50.190582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ad1c658e-7626-4b13-9012-e8b2c5cd77c6 · inbound

LLMs vs. Chinese Anime Enthusiasts: A Comparative Study on Emotionally Supportive Role-Playing cites this paper.

LLMs vs. Chinese Anime Enthusiasts: A Comparative Study on Emotionally Supportive Role-Playing CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-05T22:46:28.494955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 829cb605-c219-467e-922b-a7900a5fe052 · inbound

AudioRole: An Audio Dataset for Character Role-Playing in Large Language Models cites this paper.

AudioRole: An Audio Dataset for Character Role-Playing in Large Language Models CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:06:23.841328Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation a7dc425b-4141-439b-b980-1ccb1b1b1a6d · inbound

From Facts to Insights: A Persona-Driven Dual Memory Framework and Dataset for Role-Playing Agents cites this paper.

From Facts to Insights: A Persona-Driven Dual Memory Framework and Dataset for Role-Playing Agents CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Reference 58

Resolution: verified exact; arxiv_id, observed 2026-06-29T21:53:59.195267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 6f05d604-6653-4b27-9d4d-02efa73c3077 · inbound

Semantic Flow Regularization: Teaching LLMs to Generate Diverse Yet Coherent Responses cites this paper.

Semantic Flow Regularization: Teaching LLMs to Generate Diverse Yet Coherent Responses CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T12:43:26.088484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 3b807066-a299-4119-bc63-eb2ed3765526 · inbound

Index SLM Technical Report cites this paper.

Index SLM Technical Report CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-07-14T14:51:11.146058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.