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Paper Citation Record · LEDGER

CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 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 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:31:31.755240Z

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-15T07:21:39.440092Z digest=sha256:98cd53ea397c2197f2b9a2e7cf6fc4493daaf01210b2bb5bedc7341c312bb894

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-11T08:08:09.444352Z digest=sha256:405a85d653609601c0de30fc3969e083c1d45560ae1277cb5247e374faf157a8

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-23T22:05:17.165589Z digest=sha256:430988b37a6f205511b18206ef5b9e9e2c8e9fba6fd59c1e55b09033d0ca11f2

Observation 64d06a69-50c0-4b87-b147-d9ac664d08a4 · inbound

Concept Incongruence: An Exploration of Time and Death in Role Playing cites this paper.

Concept Incongruence: An Exploration of Time and Death in Role Playing CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T15:31:31.755240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:31:31.755240Z digest=sha256:0c5c27ceef4985a09a08c397d029eef159e42bd761d60dc7d977406464d36d74

Observation 417c5731-4951-478d-be3b-ef41e02a0d3a · inbound

OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction cites this paper.

OmniCharacter: Towards Immersive Role-Playing Agents with Seamless Speech-Language Personality Interaction CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T14:01:33.705307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:01:33.705307Z digest=sha256:5eacfb9550778e9857462ce3d12dfdfca55379726e659a17edc6f955268e914d

Observation a69147bb-052f-4998-9262-e5e4f5086bc3 · inbound

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models cites this paper.

CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T13:53:12.741030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:53:12.741030Z digest=sha256:38fc8803803473e7bc097492e15461adeed679ef9e307bf22e84fbc31ece6200

Observation 7eef2c17-5dfd-4625-ac99-0dedbe58fb32 · inbound

H2HTalk: Evaluating Large Language Models as Emotional Companion cites this paper.

H2HTalk: Evaluating Large Language Models as Emotional Companion CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T20:13:31.150814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:13:31.150814Z digest=sha256:d9a833e484b0ed6070ef3f94398fc2abec835df7d2d86fdaedec579897efa05a

Observation cd211747-996a-4f65-94cd-623efe742dce · inbound

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards cites this paper.

CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards CharacterGLM: Customizing Chinese Conversational AI Characters with Large Language Models

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T15:02:27.109104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:02:27.109104Z digest=sha256:c3619e5be45df55b6adf2df23fc5333c6eb54c630060d7e93d64c48c52d06822

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.

source=arxiv_source observed=2026-08-05T22:46:28.494955Z digest=sha256:b3a8a5bfa04d6760ae249f386e3232eab95fff40fde4b1498e1609fa8139b6de

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-18T13:03:50.876235Z digest=sha256:4f2a7d2b427ac88d2f7bbbdc41d7603dcb747827031e6bf3bc6fe3f1ae1e2416

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 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-29T21:51:35.378857Z digest=sha256:b47c646420ac39d8d9b13bba56e6cc44a3e38baa15fc1d88d5a295787050eb13

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 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T12:33:36.664957Z digest=sha256:d29e3f26dba9bcdc6a35c00c690a1d3067a70eaca35149dee0be07b1edf725e0

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.

source=pdf_text observed=2026-07-14T14:51:11.146058Z digest=sha256:25b03a6d24dad9e2174d164230f29e1957890279da69a903bcd5f67bc44ddf46