Pith. sign in

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 2026-08-16T06:30:59.297886+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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:21:59.218067Z digest=sha256:f33e34d25c14ae980ad68ee8b1067f7ab79773f09b47d8208f78d98cece62c11

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=sha256:700be717536e8c08b271367e66c8d63b15e47030a01fc44e118f2b90e125bf97

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=sha256:68cc09841569346cad11c8052e90d5273b9aaf61a21eca43c07bf57d427cd11a

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=sha256:179f820e7617647becfa743a41c66048020053234a0446b1bf099c7d0d61436f

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:21:59.236445Z digest=sha256:83c2c2b408ff05d29ec0b87f80bc13022e023d6904af94f43cc89862ff68c642

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=sha256:9b566d1aa6d8c1935a15ee010ddf827471f9cb52ac5aa4acee3f75634a5c4603

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=sha256:0895b66289ca653c4c3d4cbf5b0ed9d35ee23d2b88c1acd332260af284d8ab5e

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:c81eb167a45784b2031ef7403c46a9ca29d8825a52558b03fa4830113e6db2c0

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=sha256:08c08c2ada31d9533aaa5792a946e199a15b09c049275e613417043ce2bf47e3

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 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-16T00:21:59.256156Z digest=sha256:dff57331a2aab41638dfa3e4a2889d747fcce8aca6303a38a2022a39a157404b

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=sha256:011e268ceb1e5bc9da2ac6d3d284433319a701c3ec005a210cdbddea27361d79

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=sha256:71c4448fdb0eabb9b111cb08772478cd612f6b8e12e2b23e3cfe9e09a6315c6c

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=sha256:905074c676ba535fd732ef7442faab491b671eba4a382b9e677bf6e24bd9d125

Pith citing papers

No inbound Pith citation observations are available.