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Paper Citation Record · LEDGER

Preference Tree Optimization: Enhancing Goal-Oriented Dialogue with Look-Ahead Simulations

As of 17 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2608.12062.

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

pith.paper-citation-record.v1
2608.12062 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:21:59.267795Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e3f922de-bf9d-418f-90b7-7046c50bf2a4 · outbound

This paper cites Broaden your scope! efficient multi-turn conversation planning for llms with semantic space.

Preference Tree Optimization: Enhancing Goal-Oriented Dialogue with Look-Ahead Simulations Broaden your scope! efficient multi-turn conversation planning for llms with semantic space

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:21:59.414868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:21:59.218067Z digest=sha256:4d152e8f1f63549a966a95fc62dcd1e11500e740e9fbbb278c78082c5016fb09

Observation 9bb33e4a-a79b-4b0c-b9f8-da1df8752c9c · outbound

This paper cites Deep reinforcement learning from human preferences.

Preference Tree Optimization: Enhancing Goal-Oriented Dialogue with Look-Ahead Simulations Deep reinforcement learning from human preferences

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-16T00:21:59.222405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:21:59.222405Z digest=sha256:7b633bc62329134418677211bde56915f1ed151a2bd88bd81092044e342d68f0

Observation 6f8ff154-5b3b-4f87-8827-8edffb7b4cf1 · outbound

This paper cites Direct Language Model Alignment from Online AI Feedback.

Preference Tree Optimization: Enhancing Goal-Oriented Dialogue with Look-Ahead Simulations Direct Language Model Alignment from Online AI Feedback

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-16T00:21:59.228260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:21:59.228260Z digest=sha256:1c1835a274914011e7e0b05778ab3e9d453dec17afae67e21d1b1e3c80653130

Observation eeafbae1-e3ce-42a0-9ceb-89133d6289d1 · outbound

This paper cites I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm.

Preference Tree Optimization: Enhancing Goal-Oriented Dialogue with Look-Ahead Simulations I-SHEEP: Self-Alignment of LLM from Scratch through an Iterative Self-Enhancement Paradigm

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-16T00:21:59.232460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:21:59.232460Z digest=sha256:ede459f045ae64dfa7c93a29911ba4c5b58b3a2173a01ef73949281165d088cb

Observation f8d95617-afe2-4c84-b8ad-7bd1dc47e14b · outbound

This paper cites Miller and S.

Preference Tree Optimization: Enhancing Goal-Oriented Dialogue with Look-Ahead Simulations Miller and S

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:21:59.404818Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:21:59.236445Z digest=sha256:9ac929eba9cd2eceb8f839b72dbf1ad61e5a304600c3094be43a288214eaf0d0

Observation 54ea4b27-d108-42eb-9c34-4903dac1ad47 · outbound

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

Preference Tree Optimization: Enhancing Goal-Oriented Dialogue with Look-Ahead Simulations Training language models to follow instructions with human feedback

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-16T00:21:59.240541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:21:59.240541Z digest=sha256:c821b91a7adbac8bccd57b04ae323a274acaea29cde156e5dd62a84fc525f2f0

Observation f2bc5e41-e5d7-48bc-b5c2-c480fdcea8f8 · outbound

This paper cites West-of-N: Synthetic Preferences for Self-Improving Reward Models.

Preference Tree Optimization: Enhancing Goal-Oriented Dialogue with Look-Ahead Simulations West-of-N: Synthetic Preferences for Self-Improving Reward Models

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-16T00:21:59.244898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:21:59.244898Z digest=sha256:441ac015d635d2a69a487d074513931fc2410b5901dcc05aa5a8a4632ca63386

Observation 3aa674db-ff48-4d44-93ea-4f4acaf95162 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Preference Tree Optimization: Enhancing Goal-Oriented Dialogue with Look-Ahead Simulations Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-16T00:21:59.248705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:21:59.248705Z digest=sha256:c5bb90c950a5ba438c7cfbaa8f09e2a4753cb0a7f022d621d37bbee9b96c01ad

Observation 42632a1c-3669-4b61-9f89-470f2fcefc82 · outbound

This paper cites Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning.

Preference Tree Optimization: Enhancing Goal-Oriented Dialogue with Look-Ahead Simulations Monte Carlo Tree Search Boosts Reasoning via Iterative Preference Learning

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-16T00:21:59.252295Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:21:59.252295Z digest=sha256:73f9df74cf339947c864e5de62339e3d7e7ccc5589a23fdc981ab8352825f8b8

Observation ca4e1cc4-bd2d-41bf-aa80-2ddc7f877535 · outbound

This paper cites The journey towards an automatic mental health therapist.

Preference Tree Optimization: Enhancing Goal-Oriented Dialogue with Look-Ahead Simulations The journey towards an automatic mental health therapist

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-16T00:21:59.395411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-16T00:21:59.256156Z digest=sha256:163a7d88efcddfacea856b60e7f23d13ed1e72fa9dc11a149ab280f09770d50c

Observation 0a94c245-ab55-47f8-b139-59288fe23002 · outbound

This paper cites Prompt-Based Monte-Carlo Tree Search for Goal-Oriented Dialogue Policy Planning.

Preference Tree Optimization: Enhancing Goal-Oriented Dialogue with Look-Ahead Simulations Prompt-Based Monte-Carlo Tree Search for Goal-Oriented Dialogue Policy Planning

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-16T00:21:59.260256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:21:59.260256Z digest=sha256:30d1fa3c578efb703ac0e197f35ce09e1792757b5588f74edadc3ac196d874ca

Observation b7b9d316-19c1-4044-9d84-7a9764830712 · outbound

This paper cites Advancing LLM Reasoning Generalists with Preference Trees.

Preference Tree Optimization: Enhancing Goal-Oriented Dialogue with Look-Ahead Simulations Advancing LLM Reasoning Generalists with Preference Trees

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-16T00:21:59.263922Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:21:59.263922Z digest=sha256:163d876832b55147cc29fc20fa495974b731b328cbb9bd1e37d9e92d9c2c6218

Observation 471fef32-8551-40de-820c-4ee24f46a601 · outbound

This paper cites Self-Rewarding Language Models.

Preference Tree Optimization: Enhancing Goal-Oriented Dialogue with Look-Ahead Simulations Self-Rewarding Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T00:21:59.267795Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-16T00:21:59.267795Z digest=sha256:a2a78c40bd51a3cfe82e540a5f52f6eb21d173d0a549f0a2db6f5c6bf9c8d375

Pith citing papers

No inbound Pith citation observations are available.