Paper Citation Record · LEDGER

Auditing language models for hidden objectives

As of 22 July 2026, this Paper Citation Record lists 0 of 0 outbound references and 21 inbound Pith citation observations for arXiv:2503.10965.

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

pith.paper-citation-record.v1
2503.10965 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+00:00

measured 21 of 21 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-15T05:51:54.267975Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-10T12:15:01.137692Z

Reference resolution

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 1f8e93d7-8c25-406e-ad64-0b7e8daba457 · inbound

Internal Deployment in the AI Act cites this paper.

Internal Deployment in the AI Act Auditing language models for hidden objectives

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-21T17:54:18.534920Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation e2285006-db6a-4264-814f-b9b95cfdf594 · inbound

Pando: Do Interpretability Methods Work When Models Won't Explain Themselves? cites this paper.

Pando: Do Interpretability Methods Work When Models Won't Explain Themselves? Auditing language models for hidden objectives

Reference 1

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T10:26:02.378367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation ecabf288-40ff-4f20-8eee-4284d200fcb7 · inbound

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges cites this paper.

Reward Hacking in the Era of Large Models: Mechanisms, Emergent Misalignment, Challenges Auditing language models for hidden objectives

Reference 80

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:00:28.385565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 7919d241-d8ef-400d-a631-0f3936192d04 · inbound

Most Current Model Organisms Are Leaky: Perplexity Differencing Often Reveals Finetuning Objectives cites this paper.

Most Current Model Organisms Are Leaky: Perplexity Differencing Often Reveals Finetuning Objectives Auditing language models for hidden objectives

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T16:06:07.697769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 5ce426cb-d4e5-4ef4-960a-c6d84b54944b · inbound

Most Current Model Organisms Are Leaky: Perplexity Differencing Often Reveals Finetuning Objectives cites this paper.

Most Current Model Organisms Are Leaky: Perplexity Differencing Often Reveals Finetuning Objectives Auditing language models for hidden objectives

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T07:55:31.599646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 56fdb4a2-ef28-4146-ba4a-8e4e09a98f61 · inbound

Narrow Secret Loyalty Dodges Black-Box Audits cites this paper.

Narrow Secret Loyalty Dodges Black-Box Audits Auditing language models for hidden objectives

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:00:57.070015Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 12f71361-56e3-40e4-b345-1c4336b2f5b3 · inbound

Narrow Secret Loyalty Dodges Black-Box Audits cites this paper.

Narrow Secret Loyalty Dodges Black-Box Audits Auditing language models for hidden objectives

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-13T06:12:22.905126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation d3c0b841-123a-4bde-a163-775c7ade017e · inbound

Narrow Secret Loyalty Dodges Black-Box Audits cites this paper.

Narrow Secret Loyalty Dodges Black-Box Audits Auditing language models for hidden objectives

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-06-30T23:05:07.322088Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 41e33e97-cf37-43ac-b5a3-0e315219a3de · inbound

Positive Alignment: Artificial Intelligence for Human Flourishing cites this paper.

Positive Alignment: Artificial Intelligence for Human Flourishing Auditing language models for hidden objectives

Reference 125

Resolution: verified exact; arxiv_id, observed 2026-05-15T05:59:47.974215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation f9e9e36c-bd9e-4583-b4c1-7b602369d35d · inbound

Deep Minds and Shallow Probes cites this paper.

Deep Minds and Shallow Probes Auditing language models for hidden objectives

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-13T02:22:06.365710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 3aa6eb90-0c30-46f6-9c73-13884c2f24f5 · inbound

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations cites this paper.

REALISTA: Realistic Latent Adversarial Attacks that Elicit LLM Hallucinations Auditing language models for hidden objectives

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:17:56.941027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 5e6652c7-54d7-4f01-a9f2-a4d661157ebc · inbound

Position: Behavioural Assurance Cannot Verify the Safety Claims Governance Now Demands cites this paper.

Position: Behavioural Assurance Cannot Verify the Safety Claims Governance Now Demands Auditing language models for hidden objectives

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-06-30T20:55:03.932936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 3550bd84-1b41-4078-bf8e-2a075683e031 · inbound

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs cites this paper.

Benchmarking and Improving Monitors for Out-Of-Distribution Alignment Failure in LLMs Auditing language models for hidden objectives

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-22T09:41:21.485724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 819b93fe-de95-498a-9cb6-748d9e3e96e5 · inbound

PRISM: Recovering Instruction Sets from Language Model Activations cites this paper.

PRISM: Recovering Instruction Sets from Language Model Activations Auditing language models for hidden objectives

Reference 37

Resolution: verified exact; arxiv_id, observed 2026-06-27T17:01:08.024529Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 6c3f657a-63bc-48ee-90d3-6563d1ff96a7 · inbound

Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization cites this paper.

Proxy Reward Internalization and Mechanistic Exploitation: A Learned Precursor to Reward Hacking and Its Generalization Auditing language models for hidden objectives

Reference 250

Resolution: verified exact; arxiv_id, observed 2026-07-03T01:37:30.478939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 4eadd4bd-af71-4321-9a60-26aa20c3d2ec · inbound

"Did you lie?" Evaluating Lie Detectors across Model Scale and Belief-Verified Model Organisms cites this paper.

"Did you lie?" Evaluating Lie Detectors across Model Scale and Belief-Verified Model Organisms Auditing language models for hidden objectives

Reference 82

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:48:02.294364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 7be5d1e9-cb3f-4c8b-a787-ba932cf5e064 · inbound

RogueAI: A Reverse Turing Test for Detecting Licensed AI Deception in Dialogue cites this paper.

RogueAI: A Reverse Turing Test for Detecting Licensed AI Deception in Dialogue Auditing language models for hidden objectives

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-07-03T15:18:33.682490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 093f88b0-768b-456a-a7c9-f556eb286e15 · inbound

Self-CTRL: Self-Consistency Training with Reinforcement Learning cites this paper.

Self-CTRL: Self-Consistency Training with Reinforcement Learning Auditing language models for hidden objectives

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-07-03T20:08:56.002103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 1444b25b-1bd5-4a3d-b6ea-21c396c7ad16 · inbound

Channel Location Constrains the Auditability of Subliminal Learning cites this paper.

Channel Location Constrains the Auditability of Subliminal Learning Auditing language models for hidden objectives

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-04T08:19:44.415684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation f52bdd47-9f53-4350-a462-8c2dd4ed46d3 · inbound

The Model Organism Lottery: Model Organism Interpretability Strongly Depends on Training Methodology cites this paper.

The Model Organism Lottery: Model Organism Interpretability Strongly Depends on Training Methodology Auditing language models for hidden objectives

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:07:08.170512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

Observation 3b2d4f8e-a49e-47ed-9b54-1dc75367f11d · inbound

Agent-Safety Evaluations as Load-Bearing Evidence: A Vendor-Neutral, Cross-Harness Reconstructability Metric cites this paper.

Agent-Safety Evaluations as Load-Bearing Evidence: A Vendor-Neutral, Cross-Harness Reconstructability Metric Auditing language models for hidden objectives

Reference 15

Resolution: malformed identifier; no resolver link, observed 2026-07-15T05:51:54.267975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.