Paper Citation Record · LEDGER

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking

As of 20 August 2026, this Paper Citation Record lists 20 of 20 outbound references and 7 inbound Pith citation observations for arXiv:2501.13011.

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

pith.paper-citation-record.v1
2501.13011 v2

Coverage vector

measured 20 of 20 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T16:41:22.235026Z

measured 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:03:52.729172Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T08:35:34.312098Z

Reference resolution

20 of 20 outbound references displayed

verified exact0
verified fuzzy11
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e69c99bd-7ee5-4b39-a23d-2c80c152a1a8 · outbound

This paper cites This is a s i g n i f i c a n t factor.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking This is a s i g n i f i c a n t factor

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:22.577739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8ae6a0f2-1850-4eba-95f4-db57b691c8ce · outbound

This paper cites french.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking french

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:22.593337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d6bb2060-c5a2-4abe-8a6a-56d09c4b16c8 · outbound

This paper cites an unresolved cited work.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:41:22.546171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 0d3347e8-85e5-439c-b64a-8cd7386f87d0 · outbound

This paper cites These factors , c o n s i d e r e d together , provide a basis for a s s e s s m e n t.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking These factors , c o n s i d e r e d together , provide a basis for a s s e s s m e n t

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:22.530980Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 15180454-2591-4a23-a35c-de42cca82965 · outbound

This paper cites However , given the n eg at iv e net income , this needs further c o n s i d e r a t i o n.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking However , given the n eg at iv e net income , this needs further c o n s i d e r a t i o n

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:22.562296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 17096e5f-ae1a-4656-8d0d-a1bee97b9c91 · outbound

This paper cites This needs to be c a l c u l a t e d p r e c i s e l y to d e t e r m i n e a f f o r d a b i l i t y.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking This needs to be c a l c u l a t e d p r e c i s e l y to d e t e r m i n e a f f o r d a b i l i t y

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:22.514507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 2148cd83-1970-4c50-a891-af544258352e · outbound

This paper cites Length of time in the current role is a crucial aspect.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking Length of time in the current role is a crucial aspect

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:22.497768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b95d1604-8151-43d0-b5a7-640f265c7c7a · outbound

This paper cites This d e m o n s t r a t e s c r e d i t w o r t h i n e s sand r e s p o n s i b l e f i n a n c i a l m a n a g e m e n t.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking This d e m o n s t r a t e s c r e d i t w o r t h i n e s sand r e s p o n s i b l e f i n a n c i a l m a n a g e m e n t

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:22.479604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8caa8ec3-9d71-42d6-a893-f6bc6ff12549 · outbound

This paper cites The main qualitative change during training is that the ORL agent starts to encode stronger sentiment in the loan application summary, as shown in Figure 6.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking The main qualitative change during training is that the ORL agent starts to encode stronger sentiment in the loan application summary, as shown in Figure 6

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:22.463400Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation d01501c9-4813-42b2-a55d-8cde1a9fbc74 · outbound

This paper cites an unresolved cited work.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:41:22.447237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation c55a5472-0d9e-4832-8e54-db34abc6129e · outbound

This paper cites an unresolved cited work.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:41:22.430018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation bfe707a2-8588-4b98-b883-302754467a82 · outbound

This paper cites This i n f o r m a t i o n is missing from the p ro vi de d details.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking This i n f o r m a t i o n is missing from the p ro vi de d details

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:22.413893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 4238a900-cd73-4981-9113-6ef9fa2ceac4 · outbound

This paper cites In contrast, the MONA agent’s summaries tend to be more neutral and focusing on information in the application: The key factors to c on si de r are :.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking In contrast, the MONA agent’s summaries tend to be more neutral and focusing on information in the application: The key factors to c on si de r are :

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:22.395714Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation e126dd60-025b-47de-a7f9-29631d8e1fce · outbound

This paper cites an unresolved cited work.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:41:22.376054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation cdb01ba3-c369-47ae-86d4-d8f4543f7e9a · outbound

This paper cites an unresolved cited work.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:41:22.358736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a235300c-1f55-4550-9286-25b34c0afd76 · outbound

This paper cites an unresolved cited work.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:41:22.342695Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 5e269f91-530b-49ba-8cf4-193c3373f207 · outbound

This paper cites an unresolved cited work.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-10T16:41:22.325620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation b7dafd2a-45f0-4f91-9b95-9834ca07e723 · outbound

This paper cites multi-step.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking multi-step

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T16:41:22.308371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 8e5b2aff-b642-4936-9471-8b9d874f0177 · outbound

This paper cites Program Synthesis with Large Language Models.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking Program Synthesis with Large Language Models

Reference 2015

Resolution: unresolved; no resolver link, observed 2026-08-10T16:41:22.134275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42aceb86-a0bb-481f-b238-dfaa9b454102 · outbound

This paper cites Preventing Language Models From Hiding Their Reasoning.

MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking Preventing Language Models From Hiding Their Reasoning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-10T16:41:22.141140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation cad4fade-f35b-4ddc-a36e-bd417372e751 · inbound

Teaching Models to Verbalize Reward Hacking in Chain-of-Thought Reasoning cites this paper.

Teaching Models to Verbalize Reward Hacking in Chain-of-Thought Reasoning MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T22:03:52.729172Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fc44be3-48ff-4081-9111-0771b43f8d76 · inbound

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents cites this paper.

A Survey on Autonomy-Induced Security Risks in Large Model-Based Agents MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking

Reference 131

Resolution: unresolved; no resolver link, observed 2026-08-06T21:34:45.123423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7cba60c-98a3-4fd5-88dd-8e6a6cc988b5 · inbound

NEST: Nascent Encoded Steganographic Thoughts cites this paper.

NEST: Nascent Encoded Steganographic Thoughts MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-02T23:21:32.114597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c7374811-0504-457b-8b7f-a7891146e2cd · inbound

From Plan to Action: How Well Do Agents Follow the Plan? cites this paper.

From Plan to Action: How Well Do Agents Follow the Plan? MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-11T11:31:00.305353Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 118ac02c-fcf8-4144-8f0c-1527929d9062 · 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 MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking

Reference 181

Resolution: verified exact; arxiv_id, observed 2026-05-10T14:00:28.153587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation 7e703ea7-08f4-4b0c-b520-f63868b1e0c7 · inbound

Reframing AGI Confrontation with Off Earth Autonomy cites this paper.

Reframing AGI Confrontation with Off Earth Autonomy MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T08:35:34.313594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

Observation a783e649-5861-4c56-97a2-c9cc85a32ab9 · inbound

Draining the Energy Commons: Self-Defeating Over-Appropriation as a Coordination Failure in Agentic LLM Collectives cites this paper.

Draining the Energy Commons: Self-Defeating Over-Appropriation as a Coordination Failure in Agentic LLM Collectives MONA: Myopic Optimization with Non-myopic Approval Can Mitigate Multi-step Reward Hacking

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T05:36:08.067298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.