Paper Citation Record · LEDGER

Evaluating Intra-firm LLM Alignment Strategies in Business Contexts

As of 11 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 0 inbound Pith citation observations for arXiv:2505.18779.

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

pith.paper-citation-record.v1
2505.18779 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:28:03.617915Z

measured 14 of 14 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

14 of 14 outbound references displayed

verified exact1
verified fuzzy3
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 92a7b93f-4189-4c9f-ac01-e0dd7fb5e42f · outbound

This paper cites New York, NY , USA: Association for Computing Machinery.

Evaluating Intra-firm LLM Alignment Strategies in Business Contexts New York, NY , USA: Association for Computing Machinery

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:04.266508Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 577e6f09-43fc-4a17-8314-b3909c1443bb · outbound

This paper cites Linear Representations of Political Perspective Emerge in Large Language Models.

Evaluating Intra-firm LLM Alignment Strategies in Business Contexts Linear Representations of Political Perspective Emerge in Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:03.112145Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46ba289a-bdf4-4550-ab17-757008ade669 · outbound

This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

Evaluating Intra-firm LLM Alignment Strategies in Business Contexts RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:03.183452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17fadeaf-8253-4728-b226-9109680e4c9a · outbound

This paper cites In Proceedings of the 2025 CHI Con- ference on Human Factors in Computing Systems, CHI ’25.

Evaluating Intra-firm LLM Alignment Strategies in Business Contexts In Proceedings of the 2025 CHI Con- ference on Human Factors in Computing Systems, CHI ’25

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:04.129783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9734a63b-572a-4edd-9ae5-dcd2c8234b97 · outbound

This paper cites In Zalta, E.

Evaluating Intra-firm LLM Alignment Strategies in Business Contexts In Zalta, E

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:28:03.989341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d1391276-61dc-4d28-abd2-aaccd74693e7 · outbound

This paper cites Training language models to follow instructions with human feedback.

Evaluating Intra-firm LLM Alignment Strategies in Business Contexts Training language models to follow instructions with human feedback

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:03.399973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 239de3a9-6934-42b7-88d3-c67f103a764f · outbound

This paper cites Towards Understanding Sycophancy in Language Models.

Evaluating Intra-firm LLM Alignment Strategies in Business Contexts Towards Understanding Sycophancy in Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:03.507897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b51aa92d-e5b2-4672-bab2-beef7f01b0c1 · outbound

This paper cites LaMDA: Language Models for Dialog Applications.

Evaluating Intra-firm LLM Alignment Strategies in Business Contexts LaMDA: Language Models for Dialog Applications

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:03.557564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68c21394-16ba-40ed-bc3e-f57b46b5226f · outbound

This paper cites Richer Countries and Richer Representations.

Evaluating Intra-firm LLM Alignment Strategies in Business Contexts Richer Countries and Richer Representations

Reference 14

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:28:03.773154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f5df166b-af36-48ea-8516-b48186c61f58 · outbound

This paper cites A General Language Assistant as a Laboratory for Alignment.

Evaluating Intra-firm LLM Alignment Strategies in Business Contexts A General Language Assistant as a Laboratory for Alignment

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:02.763973Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 485d14a5-ce6f-414b-8922-f7d2c8abbe97 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Evaluating Intra-firm LLM Alignment Strategies in Business Contexts On the Opportunities and Risks of Foundation Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:02.887159Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1ffb42a-c3ae-41fb-8e07-655542f9caba · outbound

This paper cites Role-Play with Large Language Models.

Evaluating Intra-firm LLM Alignment Strategies in Business Contexts Role-Play with Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:03.446779Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 396c33a5-c1c3-4f93-b2f9-00dceda25f8d · outbound

This paper cites Flattering to Deceive: The Impact of Sycophantic Behavior on User Trust in Large Language Model.

Evaluating Intra-firm LLM Alignment Strategies in Business Contexts Flattering to Deceive: The Impact of Sycophantic Behavior on User Trust in Large Language Model

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:02.977416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48182496-25b5-4abd-aa7b-1aad0fdbbf64 · outbound

This paper cites Relational Norms for Human-AI Cooperation.

Evaluating Intra-firm LLM Alignment Strategies in Business Contexts Relational Norms for Human-AI Cooperation

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T14:28:03.040803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.