Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.02457.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-14T04:13:40.099627Z
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
3
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 f541e63e-7716-4685-b149-1d5135e7513a · inbound
Scopes of Alignment cites this paper.
Scopes of Alignment The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:27:09.184759Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 800e77c0-ac2f-4d62-8b1c-a0ae797a7a92 · inbound
From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models cites this paper.
From Seed to Harvest: Augmenting Human Creativity with AI for Red-teaming Text-to-Image Models The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:45:20.455151Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fe5c2f9c-b193-4702-b916-28c484b6537b · inbound
Structural transparency of societal AI alignment through Institutional Logics cites this paper.
Structural transparency of societal AI alignment through Institutional Logics The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T03:22:30.590674Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6095f8ec-1b74-4e56-a5da-2ec060276622 · inbound
What Do People Actually Want From AI? Mapping Preference Plurality cites this paper.
What Do People Actually Want From AI? Mapping Preference Plurality The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models
Reference 48
- Resolution
- verified exact
- arxiv_id, observed 2026-06-28T01:41:29.767598Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e26d8a78-fe0d-4fae-af87-6fca02f391b8 · inbound
Toward a Theory of Value in AI Alignment cites this paper.
Toward a Theory of Value in AI Alignment The Empty Signifier Problem: Towards Clearer Paradigms for Operationalising "Alignment" in Large Language Models
Reference 148
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:13:40.099627Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.