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Paper Citation Record · LEDGER

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

As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 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 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:01:25.006653Z

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 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-05-12T08:20:01.011625Z digest=sha256:2752c9bc02cbdf6cf14598229cf47f0522492d63e62f31861d9114dbece49617

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 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-05-13T12:01:42.290502Z digest=sha256:087b15ca8598018bfb682e26c91445905b88f70ad588b7ac75152f5b1d6966c7

Observation 4f20bb8e-ae4c-4e9a-bb8c-7c4e27ef374e · inbound

SAGEval: The frontiers of Satisfactory Agent based NLG Evaluation for reference-free open-ended text cites this paper.

SAGEval: The frontiers of Satisfactory Agent based NLG Evaluation for reference-free open-ended text Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-12T13:37:15.822487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:37:15.822487Z digest=sha256:ff867f40621d0d27f4c5a3c8f18629748e13ddca2d5f806233c866bc052ba8fc

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=sha256:9c59ec9666a86b6eeb5ef50800994941459de3760cec51e487c4c8c2957f1110

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=sha256:462574126f3afdf5cf91ecc2acdd8f2e8c065505e2a5fad7e51e9d89e65bed5f

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=sha256:00898ca95e7f34bcdb988987da7fd753eb88a50e082ee9ad45dd5b611c1971b3

Observation c9977d9a-bc81-4d29-b774-e03e52bcf551 · inbound

Rethinking Inference-Time Scaling: Efficiency Limits and Linguistic Signals cites this paper.

Rethinking Inference-Time Scaling: Efficiency Limits and Linguistic Signals Branch-Solve-Merge Improves Large Language Model Evaluation and Generation

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-16T12:01:25.006653Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T12:01:25.006653Z digest=sha256:4167be301aa87408493c57dfbface7e22474332ced5e60f2610c466e333d353c

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:c97041cbb4984eb9db249d8c3b054113dd6613689f54a8944c5755829ec7b7e4

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:a7772c85ae89dae1731bfa7ec31a41f37dbe3978d05550d91f79a2cb2daf717e