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Paper Citation Record · LEDGER

Self-Boosting Large Language Models with Synthetic Preference Data

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2410.06961.

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

pith.paper-citation-record.v1
2410.06961 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T16:26:28.130817Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:35:47.622062Z

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 4a944236-372a-4938-993c-539c86c6c0a6 · 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 Self-Boosting Large Language Models with Synthetic Preference Data

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-11T23:08:36.358358Z

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.

source=pdf_text observed=2026-05-11T23:08:34.312466Z digest=sha256:1972793f9916c02b0bb6cd4a2952eb2f8389884f2ef0899c5aec67eeeec7c3ca

Observation fba7583b-1717-4553-a9f9-b7f8b80d04d3 · inbound

Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries cites this paper.

Amulet: Putting Complex Multi-Turn Conversations on the Stand with LLM Juries Self-Boosting Large Language Models with Synthetic Preference Data

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-07T13:59:52.814369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T13:59:52.814369Z digest=sha256:3364b26505de086130fc8c4c74ca1576a7f8b05c95548ba172135bce3c975524

Observation d38a2290-f18f-47e1-a916-e0d9b553976b · inbound

Data Swarms: Optimizable Generation of Synthetic Evaluation Data cites this paper.

Data Swarms: Optimizable Generation of Synthetic Evaluation Data Self-Boosting Large Language Models with Synthetic Preference Data

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T12:03:35.341828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:03:35.341828Z digest=sha256:9d0761303d788a7c755bff8cd50a936fc41a9ffb657a2fb97c0fc9f5a48fd75a

Observation 710738de-a91c-4664-8a43-71f3c1dc08e5 · inbound

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models cites this paper.

RACE-Align: Retrieval-Augmented and Chain-of-Thought Enhanced Preference Alignment for Large Language Models Self-Boosting Large Language Models with Synthetic Preference Data

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T11:21:41.210733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:21:41.210733Z digest=sha256:d6928b9fec56323cff96a05b21e571249d55e122b8d7da8ecfa4141900f02dcf

Observation 0033f159-6de3-49f9-9d73-1523e9f65203 · inbound

SGPO: Self-Generated Preference Optimization based on Self-Improver cites this paper.

SGPO: Self-Generated Preference Optimization based on Self-Improver Self-Boosting Large Language Models with Synthetic Preference Data

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T13:49:09.839915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T13:49:09.839915Z digest=sha256:dadb4e9bf568f7ba8c7bd105d594bda8759a1fdeb0909b33716eecd5e5ed77f0

Observation 827526c0-ccb4-4d65-8c1c-fd3bc4a72070 · 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 Self-Boosting Large Language Models with Synthetic Preference Data

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-15T16:26:28.130817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T16:26:28.130817Z digest=sha256:bf6abbb2f5e49ddce9d1116aac7926c1189a50a5a3a7afb9b98dfb2868a50f98

Observation 36c23218-19d4-4bd1-948b-c87a393ded2e · inbound

Generating Leakage-Free Benchmarks for Robust RAG Evaluation cites this paper.

Generating Leakage-Free Benchmarks for Robust RAG Evaluation Self-Boosting Large Language Models with Synthetic Preference Data

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:06:18.914646Z

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.

source=pdf_text observed=2026-05-12T03:04:39.253429Z digest=sha256:e8eaf8d72f557d7e25c7f4a44515527685625e8745a7e832a0c491adafc6e49c

Observation 7db188be-aa53-42ca-8282-19b1ea406ca6 · inbound

Towards Human-Level Book-Writing Capability cites this paper.

Towards Human-Level Book-Writing Capability Self-Boosting Large Language Models with Synthetic Preference Data

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-20T15:43:27.028612Z

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.

source=pdf_text observed=2026-05-20T15:40:53.245419Z digest=sha256:3144083ff1ec64a15e65e1da48ebd287a5d59bd601009b4d0c5b01a008ac0845

Observation bd3eb026-eb57-469c-990f-014da09e127d · inbound

Towards Human-Level Book-Writing Capability cites this paper.

Towards Human-Level Book-Writing Capability Self-Boosting Large Language Models with Synthetic Preference Data

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-06-30T19:05:00.337562Z

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.

source=pdf_text observed=2026-06-30T19:03:27.257098Z digest=sha256:81fc0ffdd6c4242714d1f73f6da9a27d112681512980f6f37ef21ede143a2b1a

Observation 2d053009-9f22-441b-b15e-b5e541e3f504 · inbound

Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs cites this paper.

Vision-driven Preference Synthesis for Mitigating Hallucinations in VLMs Self-Boosting Large Language Models with Synthetic Preference Data

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:35:47.623531Z

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.

source=pdf_text observed=2026-06-30T01:22:16.176398Z digest=sha256:63bbb25c92bc2564c12796876c18b31417b65142199973e534a0c9a230cd3a8a

Observation 0bfe0f4b-be8a-4c16-8a18-7b419e7ba1e7 · inbound

Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation cites this paper.

Positive-Unlabeled Preference Optimization For Chest X-ray Report Generation Self-Boosting Large Language Models with Synthetic Preference Data

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-08T15:03:47.560820Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T15:03:47.560820Z digest=sha256:16ca82348c25ff96ae040c7aa5f15350af7a3129a0646a5ac090fa4975d54278

Observation 5ef33563-1d2b-4c88-b98c-25f32739b599 · inbound

Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse cites this paper.

Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse Self-Boosting Large Language Models with Synthetic Preference Data

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-12T16:59:19.170294Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T16:59:19.170294Z digest=sha256:845834eaa044ec1b1abcc54354d8309279c8567ba2bce371dac997ad2a3b2e04

Observation d5e6b96b-81e6-426b-b892-02f85595c13f · inbound

Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse cites this paper.

Surfacing the Unsaid: CUE-Bench for Affective Stance in Chinese Discourse Self-Boosting Large Language Models with Synthetic Preference Data

Reference 97

Resolution
unresolved
no resolver link, observed 2026-08-15T14:19:34.604333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-15T14:19:34.604333Z digest=sha256:cd5454f858463594d70d14b9664dcbd22deaf026ed2287f33d28fcbd0a42e969