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Paper Citation Record · LEDGER

Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2406.04412.

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

pith.paper-citation-record.v1
2406.04412 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:26:28.164132Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T03:45:17.540813Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f6499de2-4dd3-4293-9396-36becc59006d · inbound

ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning cites this paper.

ROSE: A Reward-Oriented Data Selection Framework for LLM Task-Specific Instruction Tuning Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-12T05:13:41.452277Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T05:13:41.452277Z digest=sha256:696b7448f13e56bb3c34a9b47b45a21759452b10fb7e0f4a5812ce9e794c6d44

Observation f1d4186d-2c39-4f1d-875f-a13a206066ed · inbound

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods cites this paper.

LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:08:36.981361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-11T23:08:34.312466Z digest=sha256:d9289cb1033684056ae795bb9c0f391ab00eb02652c28151ee17a8dbc96bfa10

Observation f121deb6-27f1-4e45-a3cb-39abe0b41336 · inbound

Aligning LLMs with Domain Invariant Reward Models cites this paper.

Aligning LLMs with Domain Invariant Reward Models Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T22:45:12.283131Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T22:45:12.283131Z digest=sha256:4781c7a7095de39e057142465f4f442aaa6097e83064239726d1c0f074a25fa8

Observation 5a792d65-1c92-4d01-9816-18e06630e5f7 · inbound

Clear Preferences Leave Traces: Reference Model-Guided Sampling for Preference Learning cites this paper.

Clear Preferences Leave Traces: Reference Model-Guided Sampling for Preference Learning Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T14:39:22.620676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T14:39:22.620676Z digest=sha256:19bd6d9ef795bfd8b85837c21d30b115a0cf2e682561207e947f76d2f1b3bcec

Observation 8cec7ea0-ce83-4d76-89ee-807450d21061 · inbound

Refining Positive and Toxic Samples for Dual Safety Self-Alignment of LLMs with Minimal Human Interventions cites this paper.

Refining Positive and Toxic Samples for Dual Safety Self-Alignment of LLMs with Minimal Human Interventions Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-08T19:07:35.441458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T19:07:35.441458Z digest=sha256:bb30f416791571acb5abc7980a58f11d1262a5cd9d298164c7bf6a92f96478bb

Observation 1e2647a7-ae0f-4d91-ab5a-4fddeb433b5a · inbound

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation cites this paper.

Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-15T16:26:28.164132Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:26:28.164132Z digest=sha256:4df91897fc94a003432f050326f4b2d9cae79d7f0f87180ef1035ffee32cafcb

Observation c2449b1f-8062-4561-84db-a9ef272f8196 · inbound

Generating Place-Based Compromises Between Two Points of View cites this paper.

Generating Place-Based Compromises Between Two Points of View Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-11T22:01:12.012784Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-08T03:36:31.695964Z digest=sha256:51f4397c3d8dd899b99440e32ce11d13312d1722b02ff9424e8fee7f3623452c

Observation 792f2eeb-e7d7-4a93-8eba-6d49573c181f · inbound

TPMM-DPO: Trajectory-aware Preference-guided Model Merging for Iterative Direct Preference Optimization cites this paper.

TPMM-DPO: Trajectory-aware Preference-guided Model Merging for Iterative Direct Preference Optimization Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-25T03:45:17.543948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-25T03:41:52.859647Z digest=sha256:fdea6b3e5b2ca768731aff0ec5b64e60992e265c00d2a2ece1b5f194bea8cdcc

Observation 5f21a7eb-3ce9-4467-86ea-e1bea4692410 · inbound

S2T-RLHF: Hierarchical Credit Assignment for Stable Preference-Based RLHF cites this paper.

S2T-RLHF: Hierarchical Credit Assignment for Stable Preference-Based RLHF Spread Preference Annotation: Direct Preference Judgment for Efficient LLM Alignment

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-02T13:58:41.532409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T13:58:41.532409Z digest=sha256:938df7bba1b7b96af84b0d7cacc1d72daaab403bfa4961ae407dcd7dfaef7bef