Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO
As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2404.13957.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T18:11:22.987938Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation 8a87a304-9b1c-48d4-8aac-f6d5b3d1cce7 · inbound
Inertia in Moral and Value Judgments of Large Language Models cites this paper.
Inertia in Moral and Value Judgments of Large Language Models How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO
Reference 33
- Resolution
- verified exact
- arxiv_id, observed 2026-05-23T22:05:50.136465Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6984e6b3-f1a4-433c-ada7-80afd84f5efd · inbound
Large Language Models as Virtual Survey Respondents: Evaluating Sociodemographic Response Generation cites this paper.
Large Language Models as Virtual Survey Respondents: Evaluating Sociodemographic Response Generation How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO
Reference 21
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T18:46:44.853461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 6f4c37a2-41f9-4543-ac96-0c20b575eb65 · inbound
StratMem-Bench: Evaluating Strategic Memory Use in Virtual Character Conversation Beyond Factual Recall cites this paper.
StratMem-Bench: Evaluating Strategic Memory Use in Virtual Character Conversation Beyond Factual Recall How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO
Reference 1
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T08:56:26.227131Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation f01b8a3f-af7f-48e5-8393-829785eb3c56 · inbound
ZIPP:Zero-shot Image Personalization from Personas cites this paper.
ZIPP:Zero-shot Image Personalization from Personas How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO
Reference 30
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T23:27:27.962469Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.
Observation 0558589b-b939-48dd-bbc8-bc4fecd67e81 · inbound
Improving General Role-Playing Agents via Psychology-Grounded Reasoning and Role-Aware Policy Optimization cites this paper.
Improving General Role-Playing Agents via Psychology-Grounded Reasoning and Role-Aware Policy Optimization How Well Can LLMs Echo Us? Evaluating AI Chatbots' Role-Play Ability with ECHO
Reference 108
- Resolution
- verified exact
- arxiv_id, observed 2026-06-26T04:58:59.322488Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.