Paper Citation Record · LEDGER

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models

As of 20 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2411.08733.

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

pith.paper-citation-record.v1
2411.08733 v2

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:28:20.909830Z

measured 32 of 32 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:21:22.819294Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T21:36:17.496619Z

Reference resolution

30 of 30 outbound references displayed

verified exact0
verified fuzzy7
unresolved23
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 410c0a0b-85db-43ad-8d10-519b0e451be4 · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 1

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.285901Z

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 2db8ff15-297f-4a75-bbe3-238e57b3b62d · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.274565Z

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 8aef5d9d-3f58-4de4-82b0-c0e0056bdc32 · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.262995Z

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 4a882d53-0108-4365-99fe-2fc5175db241 · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.251453Z

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 3dac3243-5e6c-44c8-9f62-878326a67cad · outbound

This paper cites query_analysis.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models query_analysis

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:28:21.158413Z

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 2d1f8910-56fe-42a4-8653-fb8d853f1c67 · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.026700Z

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 828b55b9-5acb-499d-8111-dac20d841e37 · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.240291Z

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 db9e88ed-d913-4430-9c72-2129b229c3d7 · outbound

This paper cites (amounting to 5 given the hyperparameters).

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models (amounting to 5 given the hyperparameters)

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:28:21.228291Z

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 ae0c65f7-587e-41e8-b3f3-3bdb56c71dfb · outbound

This paper cites Helpfulness.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Helpfulness

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:28:21.217038Z

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 8366c47a-cb4f-4cfe-8e11-5791bb489353 · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.205131Z

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 f6f7fdb3-5e69-4383-a006-859ddcd08329 · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.192810Z

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 471eb788-ec37-44fc-98a2-a11875729346 · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.181384Z

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 383073e5-c455-41e7-80e8-5bfec25a39c1 · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.169716Z

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 7921e2f0-6ef4-4e06-b91b-4ccfba997668 · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 15

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.146698Z

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 72b7788d-d411-469d-b2fa-d8c295863b8a · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.135084Z

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 0f73ac90-dbdc-4037-931c-91dd061d97af · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.123137Z

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 bfb20183-f067-4c28-b21c-1de267b45bf5 · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.111747Z

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 23e48885-0241-43d8-b5c6-c63302daf5e2 · outbound

This paper cites While designing the system prompt make sure to structure it in a way that it abides to the instructions below:.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models While designing the system prompt make sure to structure it in a way that it abides to the instructions below:

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:28:21.100623Z

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 e7e24634-dbe7-4d90-8dfc-07592da82018 · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.087979Z

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 49065955-f7e2-42de-b17b-524803ddd011 · outbound

This paper cites using bullet points.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models using bullet points

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:28:21.075467Z

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 c8e5a275-e3df-40eb-9878-353212cd7e9a · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.063779Z

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 73802f3f-3595-47e4-88e0-655a6f58268a · outbound

This paper cites - Bullet Points containing important and specific instructions to keep in mind.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models - Bullet Points containing important and specific instructions to keep in mind

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:28:21.051261Z

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 d64ca7b5-6e15-4df6-954b-87d5be59170c · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.039041Z

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 03ca55bc-9c7d-4559-8136-df5e3310e67f · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.014205Z

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 abf0744a-ea44-4131-a0ad-4872268eae1d · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:21.002378Z

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 541ca9aa-91d8-4099-be4d-adb1f61b447d · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:20.990801Z

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 717af31e-aa88-424f-b537-f40ec2d35683 · outbound

This paper cites an unresolved cited work.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-12T21:28:20.979059Z

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 26d6ff31-31e1-48d7-9bee-4184100fe953 · outbound

This paper cites analysis.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models analysis

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T21:28:20.966363Z

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 a3b44d7c-f80d-49cb-8a3f-0dfda1ba71ab · outbound

This paper cites Learning To Retrieve Prompts for In-Context Learning.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models Learning To Retrieve Prompts for In-Context Learning

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-12T21:28:20.803482Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 965e2f08-0769-4155-9b02-14dad57a1b4e · outbound

This paper cites ARGS: Alignment as Reward-Guided Search.

Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models ARGS: Alignment as Reward-Guided Search

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-12T21:28:20.798133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 24af02b0-806f-4345-a562-006b35e871f8 · inbound

SI-Agent: An Agentic Framework for Feedback-Driven Generation and Tuning of Human-Readable System Instructions for Large Language Models cites this paper.

SI-Agent: An Agentic Framework for Feedback-Driven Generation and Tuning of Human-Readable System Instructions for Large Language Models Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T20:21:22.819294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 502261bd-df6c-4ba8-a39b-4ca760a6842f · inbound

See Further, Think Deeper: Advancing VLM's Reasoning Ability with Low-level Visual Cues and Reflection cites this paper.

See Further, Think Deeper: Advancing VLM's Reasoning Ability with Low-level Visual Cues and Reflection Dynamic Rewarding with Prompt Optimization Enables Tuning-free Self-Alignment of Language Models

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-11T21:36:17.503350Z

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.