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Paper Citation Record · LEDGER

Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2310.15123.

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

pith.paper-citation-record.v1
2310.15123 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T19:54:21.548954Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-13T12:01:42.479916Z

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 ee83fe8c-3d29-44d9-8141-754db48372c6 · inbound

SGLang: Efficient Execution of Structured Language Model Programs cites this paper.

SGLang: Efficient Execution of Structured Language Model Programs Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Reference 40

Resolution
verified exact
arxiv_id, observed 2026-05-12T08:20:01.078104Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-12T08:20:01.011625Z digest=sha256:3212740de6bc3e7c90267cc72b44c2f491b7f41612b4157ad1c1052529a0202f

Observation 13dbc281-ed12-4238-b341-4b8a4c0eb765 · inbound

Self-Rewarding Language Models cites this paper.

Self-Rewarding Language Models Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Reference 112

Resolution
verified exact
arxiv_id, observed 2026-05-13T12:01:42.482991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-13T12:01:42.290502Z digest=sha256:b0465fc12009b2e97468f8c310f6c7e008ec386052eb6b455698f5da4186e098

Observation 3ac0fc03-c972-4c80-8703-480d918db404 · inbound

DSAI: Unbiased and Interpretable Latent Feature Extraction for Data-Centric AI cites this paper.

DSAI: Unbiased and Interpretable Latent Feature Extraction for Data-Centric AI Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-11T19:54:21.548954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T19:54:21.548954Z digest=sha256:aa732f2690440c00bc8bab10e54cc214f6f24063371adf2072b30e2a35fcae0a

Observation 96a249d0-3282-4040-a257-7d68e68b00e5 · inbound

Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation cites this paper.

Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T20:53:56.217266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:53:56.217266Z digest=sha256:51c3435730076ac438beb118b059eadcfca0c9b866068954921562fa5dabfb5d

Observation a59cbe9b-c6e5-4573-85a3-816b2942b074 · inbound

Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models cites this paper.

Agent-Centric Projection of Prompting Techniques and Implications for Synthetic Training Data for Large Language Models Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T20:38:52.662127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:38:52.662127Z digest=sha256:a876f6b8fbf86737f7ef20c4138daaff234a20c97b7ae4dfadddc9b0f60a84fc

Observation cb63b92e-9ae5-4599-94f1-88496bc70708 · inbound

Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewards cites this paper.

Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined Rewards Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-05T14:22:39.152614Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:22:39.152614Z digest=sha256:4e1743ac86bfaea4b027ddf27b381d4fc5a883d585507c33a0d8284cfcc63eed

Observation 40198c65-e693-44da-9022-bd9cea74a140 · inbound

Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models cites this paper.

Deep Interaction: An Efficient Human-AI Interaction Method for Large Reasoning Models Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-02T03:01:41.432644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:01:41.432644Z digest=sha256:3856d88864eb0d1b3edfe6b5cb53482e4ed18910786f68fe33c9922a23be9bed