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Paper Citation Record · LEDGER

Training AI to be Loyal

As of 10 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 1 inbound Pith citation observation for arXiv:2502.15720.

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

pith.paper-citation-record.v1
2502.15720 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T13:17:06.726737Z

measured 10 of 10 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:47:49.059016Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-08T11:47:49.308392Z

Reference resolution

9 of 9 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved6
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a779c818-4b21-4f4c-94e7-de059d8c6a86 · outbound

This paper cites GPT-4 Technical Report.

Training AI to be Loyal GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T13:17:06.665140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:17:06.665140Z digest=sha256:016cff46a789df33148905d29a02da9d2996f6a78a98ed3e63cb3ab4f816cc8f

Observation c4a54ac5-0068-4400-97f3-ea3f91f88b1f · outbound

This paper cites OML : Open, monetizable, and loyal AI.

Training AI to be Loyal OML : Open, monetizable, and loyal AI

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:17:06.853585Z

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=2026-08-10T13:17:06.670407Z digest=sha256:0ad4387f02fcc2509a298540c4366dc56d42e71633de326bd76e81b40a30de89

Observation c748a3c4-85c2-4168-b45e-eff52abfb814 · outbound

This paper cites Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference.

Training AI to be Loyal Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T13:17:06.674682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:17:06.674682Z digest=sha256:f50ae03feb198bc1cb4914706fd447421634eb7fe29d1a0508d4a96699eddc0c

Observation a283d4b0-5aa1-4677-bcca-933ed3097b29 · outbound

This paper cites Model-agnostic meta-learning for fast adaptation of deep networks.

Training AI to be Loyal Model-agnostic meta-learning for fast adaptation of deep networks

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T13:17:06.679180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:17:06.679180Z digest=sha256:1208a590a18d55794c293463642d70cbe78f742717e4f3136bf1d5c19309a39d

Observation a74f5b38-c52d-4dae-af00-b5a012ad3790 · outbound

This paper cites A Watermark for Large Language Models.

Training AI to be Loyal A Watermark for Large Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T13:17:06.692904Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:17:06.692904Z digest=sha256:2f9fe270f17a5fda84777fde1f5188e561e644a617dafd7f2fd44f7ed98835cb

Observation a7a74457-7027-414f-ab09-f81aa53a3133 · outbound

This paper cites https://github.com/sentient-agi/oml-1.0-fingerprinting, 2024.

Training AI to be Loyal https://github.com/sentient-agi/oml-1.0-fingerprinting, 2024

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:17:06.833262Z

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=2026-08-10T13:17:06.706105Z digest=sha256:efae2da0452b991521672662560a81d1fbafe472ac9a8f945a5482fc11f8c668

Observation 2944ca21-39e8-4396-95e1-94d94c152b5c · outbound

This paper cites On Evaluating the Durability of Safeguards for Open-Weight LLMs.

Training AI to be Loyal On Evaluating the Durability of Safeguards for Open-Weight LLMs

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T13:17:06.719704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:17:06.719704Z digest=sha256:86cf9d3d5d7faf30fe642aac4cbf7b0f6b8e46fec9c6f50af03b739445118fa1

Observation 16d89e36-b13f-4ebb-b705-62c1bf6d1674 · outbound

This paper cites Hey, that's my model! introducing chain & hash, an llm fingerprinting technique, 2024.

Training AI to be Loyal Hey, that's my model! introducing chain & hash, an llm fingerprinting technique, 2024

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T13:17:06.818510Z

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=2026-08-10T13:17:06.723497Z digest=sha256:584defe1aaa997b3d06fd87452328e774273de9f4a93c8a848e293211d80cb79

Observation 7a600df8-1662-4104-b3cb-cf59e5f0fc59 · outbound

This paper cites Instructional fingerprinting of large language models, 2024.

Training AI to be Loyal Instructional fingerprinting of large language models, 2024

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T13:17:06.726737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T13:17:06.726737Z digest=sha256:1100456a774a9100890dfc208240edff493483f712cd45bbc8420cdde1b49dab

Pith citing papers

Observation 5258b6a6-8f60-47b7-9bbf-d59327cf3096 · inbound

When Incentives Backfire, Data Stops Being Human cites this paper.

When Incentives Backfire, Data Stops Being Human Training AI to be Loyal

Reference 90

Resolution
verified exact
local_arxiv, observed 2026-08-08T11:47:49.311995Z

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=2026-08-08T11:47:49.059016Z digest=sha256:243bc6cbbf84d31b21e2767f47ea028d2772558450a0ad7e0caf168f8fbe7de5